From d5ee6482e71d404b03fadf490b8946758c1afe86 Mon Sep 17 00:00:00 2001 From: hseok-oh Date: Sun, 7 Apr 2024 19:36:20 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20Samsung/?= =?UTF-8?q?ONE@067abd2371bf61dfdd72d65af82bebe64ace26fd=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- _benchmark_8cpp_source.html | 4 +- _c_op_shape_inference_rule_8h_source.html | 4 +- _c_op_type_inference_8h_source.html | 4 +- ...ical_shape_inference_rule_8cpp_source.html | 4 +- ...onical_shape_inference_rule_8h_source.html | 6 +- ...bidirectional_sequence_l_s_t_m_out_8h.html | 2 +- ...tional_sequence_l_s_t_m_out_8h_source.html | 4 +- _circle_custom_out_8h.html | 2 +- _circle_custom_out_8h_source.html | 4 +- _circle_if_out_8h.html | 2 +- _circle_if_out_8h_source.html | 4 +- _circle_input_8h.html | 2 +- _circle_input_8h_source.html | 4 +- _circle_node_summary_builder_8cpp_source.html | 2 +- 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mode 100644 dir_fa43d2a49e8d24cc78f9d1c336fe2990_dep.png delete mode 100644 exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.js rename exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html => exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html (92%) create mode 100644 exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.js rename exo_2src_2_dialect_2_i_r_2_circle_op_code_8h_source.html => exo_2src_2_dialect_2_i_r_2_circle_opcode_8h_source.html (93%) rename _p_a_l_softmax_common_8h.html => luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h.html (94%) create mode 100644 luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h.js rename _p_a_l_softmax_common_8h_source.html => luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h_source.html (97%) create mode 100644 luci-ref-value-py-test_2conftest_8py.html create mode 100644 luci-ref-value-py-test_2conftest_8py.js create mode 100644 luci-ref-value-py-test_2conftest_8py_source.html create mode 100644 luci-ref-value-py-test_2test__luci__eval_8py.html create mode 100644 luci-ref-value-py-test_2test__luci__eval_8py.js create mode 100644 luci-ref-value-py-test_2test__luci__eval_8py_source.html delete mode 100644 luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.js rename luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html => luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html (89%) create mode 100644 luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.js rename luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h_source.html => luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h_source.html (92%) delete mode 100644 luci_2partition_2src_2_circle_op_code_8h.js rename luci_2partition_2src_2_circle_op_code_8h.html => luci_2partition_2src_2_circle_opcode_8h.html (96%) create mode 100644 luci_2partition_2src_2_circle_opcode_8h.js rename luci_2partition_2src_2_circle_op_code_8h_source.html => luci_2partition_2src_2_circle_opcode_8h_source.html (96%) delete mode 100644 morph_2src_2_dims_8cpp.js rename morph_2src_2_dims_8cpp.html => morph_2src_2dims_8cpp.html (95%) create mode 100644 morph_2src_2dims_8cpp.js rename morph_2src_2_dims_8cpp_source.html => morph_2src_2dims_8cpp_source.html (96%) create mode 100644 namespaceonert__micro_1_1test__model_1_1neg__softmax__input__output__type__mismatch.html create mode 100644 namespaceonert__micro_1_1test__model_1_1neg__softmax__no__quant__params.html create mode 100644 namespaceonert__micro_1_1test__model_1_1softmax__float.html create mode 100644 navtreeindex272.js delete mode 100644 onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.js rename onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html => onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html (85%) create mode 100644 onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.js rename onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp_source.html => onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp_source.html (86%) create mode 100644 onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h.html create mode 100644 onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h.js create mode 100644 onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h_source.html rename onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp.html => onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.html (95%) create mode 100644 onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.js rename onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp_source.html => onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp_source.html (99%) rename onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp.html => onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.html (96%) create mode 100644 onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.js rename onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp_source.html => onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp_source.html (97%) delete mode 100644 onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp.js rename onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html => onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html (96%) create mode 100644 onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.js rename onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html => onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html (97%) delete mode 100644 onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.js rename onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp.html => onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.html (96%) create mode 100644 onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.js rename onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp_source.html => onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp_source.html (97%) delete mode 100644 onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp.js delete mode 100644 onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp.js create mode 100644 onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h.html create mode 100644 onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h.js create mode 100644 onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h_source.html rename onert-micro_2onert-micro_2src_2execute_2kernels_2conv2d_8cpp.html => onert-micro_2onert-micro_2src_2execute_2kernels_2_conv2_d_8cpp.html (95%) rename onert-micro_2onert-micro_2src_2execute_2kernels_2conv2d_8cpp_source.html => onert-micro_2onert-micro_2src_2execute_2kernels_2_conv2_d_8cpp_source.html (99%) create mode 100644 onert-micro_2onert-micro_2src_2execute_2kernels_2_softmax_8cpp.html create mode 100644 onert-micro_2onert-micro_2src_2execute_2kernels_2_softmax_8cpp_source.html rename onert-micro_2onert-micro_2src_2import_2kernels_2conv2d_8cpp.html => onert-micro_2onert-micro_2src_2import_2kernels_2_conv2_d_8cpp.html (95%) rename onert-micro_2onert-micro_2src_2import_2kernels_2conv2d_8cpp_source.html => onert-micro_2onert-micro_2src_2import_2kernels_2_conv2_d_8cpp_source.html (98%) create mode 100644 onert-micro_2onert-micro_2src_2import_2kernels_2_softmax_8cpp.html create mode 100644 onert-micro_2onert-micro_2src_2import_2kernels_2_softmax_8cpp_source.html rename souschef_2src_2_dims_8cpp.html => souschef_2src_2dims_8cpp.html (94%) rename souschef_2src_2_dims_8cpp_source.html => souschef_2src_2dims_8cpp_source.html (94%) diff --git a/_benchmark_8cpp_source.html b/_benchmark_8cpp_source.html index 0b3be53007f..5db98ec518f 100644 --- a/_benchmark_8cpp_source.html +++ b/_benchmark_8cpp_source.html @@ -201,7 +201,7 @@
101
-
102int main(int argc, char **argv)
+
102int main(int argc, char **argv)
103{
104 std::unique_ptr<nnkit::BackendPlugin> backend_plugin;
105 nnkit::VectorArguments backend_arguments;
@@ -318,7 +318,7 @@
void head(int indent)
volatile const char info[]
std::unique_ptr< BackendPlugin > make_backend_plugin(const std::string &path)
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
diff --git a/_c_op_shape_inference_rule_8h_source.html b/_c_op_shape_inference_rule_8h_source.html index 68aa786b448..a29557959ec 100644 --- a/_c_op_shape_inference_rule_8h_source.html +++ b/_c_op_shape_inference_rule_8h_source.html @@ -128,7 +128,7 @@
33struct COpShapeInferenceRule final : public loco::ShapeInferenceRule
34{
35 bool recognize(const loco::Dialect *) const final;
-
36 bool infer(const loco::Node *, loco::NodeShape &) const final;
+
36 bool infer(const loco::Node *, loco::NodeShape &) const final;
37};
38
@@ -143,7 +143,7 @@
Definition NodeShape.h:35
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
Shape inference rule for COpDialect.
bool recognize(const loco::Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_c_op_type_inference_8h_source.html b/_c_op_type_inference_8h_source.html index 2d29fcf7b81..9ecf9066a04 100644 --- a/_c_op_type_inference_8h_source.html +++ b/_c_op_type_inference_8h_source.html @@ -125,7 +125,7 @@
28struct COpTypeInferenceRule final : public loco::TypeInferenceRule
29{
30 bool recognize(const loco::Dialect *) const final;
-
31 bool infer(const loco::Node *, loco::DataType &) const final;
+
31 bool infer(const loco::Node *, loco::DataType &) const final;
32};
33
@@ -137,7 +137,7 @@
Logical unit of computation.
Definition Node.h:54
DataType
"scalar" value type
Definition DataType.h:27
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
Type Inference Rule for COpDialect.
bool recognize(const loco::Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_canonical_shape_inference_rule_8cpp_source.html b/_canonical_shape_inference_rule_8cpp_source.html index 018099f7015..243b50860bb 100644 --- a/_canonical_shape_inference_rule_8cpp_source.html +++ b/_canonical_shape_inference_rule_8cpp_source.html @@ -835,7 +835,7 @@
747 ::compat::Context ctx;
748 ::compat::Sink sink;
749
-
750 infer(&ctx, node, &sink);
+
750 infer(&ctx, node, &sink);
751
752 assert(sink.status() == ::compat::Sink::Okay or sink.status() == ::compat::Sink::Fail);
753
@@ -958,7 +958,7 @@
loco::Window< 2 > window_of(const TFKSize &ksize, const TFDataLayout &datalayout)
FeatureShapeUpdater update(loco::FeatureShape &feature_shape)
PlaneShape make_plane_shape(const loco::FeatureShape &feature_shape)
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
virtual T visit(const Node *)
Default fallback.
diff --git a/_canonical_shape_inference_rule_8h_source.html b/_canonical_shape_inference_rule_8h_source.html index 1e5ab21c412..e1322b60b11 100644 --- a/_canonical_shape_inference_rule_8h_source.html +++ b/_canonical_shape_inference_rule_8h_source.html @@ -126,8 +126,8 @@
29{
30 bool support(const API &ver) const final;
31 bool recognize(const Dialect *) const final;
-
32 bool infer(const Node *, NodeShape &) const final;
-
33 void infer(const Context *, const Node *, Sink *) const final;
+
32 bool infer(const Node *, NodeShape &) const final;
+
33 void infer(const Context *, const Node *, Sink *) const final;
34};
35
@@ -139,7 +139,7 @@
Logical unit of computation.
Definition Node.h:54
Definition NodeShape.h:35
Definition LogHelper.cpp:20
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
Shape inference rule for canonical dialect.
bool support(const API &ver) const final
Check whether a given API is available or not.
bool recognize(const Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_circle_bidirectional_sequence_l_s_t_m_out_8h.html b/_circle_bidirectional_sequence_l_s_t_m_out_8h.html index 7d2bee521c8..605566f3f2f 100644 --- a/_circle_bidirectional_sequence_l_s_t_m_out_8h.html +++ b/_circle_bidirectional_sequence_l_s_t_m_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_bidirectional_sequence_l_s_t_m_out_8h_source.html b/_circle_bidirectional_sequence_l_s_t_m_out_8h_source.html index 49a99af5c70..a5be2337438 100644 --- a/_circle_bidirectional_sequence_l_s_t_m_out_8h_source.html +++ b/_circle_bidirectional_sequence_l_s_t_m_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_BIDIRECTIONAL_SEQUENCE_LSTM_OUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_custom_out_8h.html b/_circle_custom_out_8h.html index 030bac3bd61..e52a967fd5a 100644 --- a/_circle_custom_out_8h.html +++ b/_circle_custom_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_custom_out_8h_source.html b/_circle_custom_out_8h_source.html index 3d21e704d98..e3c86ad6798 100644 --- a/_circle_custom_out_8h_source.html +++ b/_circle_custom_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_CUSTOMOUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_if_out_8h.html b/_circle_if_out_8h.html index f1af3b84c13..87897e48396 100644 --- a/_circle_if_out_8h.html +++ b/_circle_if_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_if_out_8h_source.html b/_circle_if_out_8h_source.html index 81232ecef04..f0b68046a98 100644 --- a/_circle_if_out_8h_source.html +++ b/_circle_if_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_IFOUT_H__
19
- +
22
24
@@ -154,7 +154,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_input_8h.html b/_circle_input_8h.html index ce04ca82b31..ecc02109839 100644 --- a/_circle_input_8h.html +++ b/_circle_input_8h.html @@ -96,7 +96,7 @@
#include "luci/IR/CircleNodeDecl.h"
-#include "luci/IR/CircleOpcode.h"
+#include "luci/IR/CircleOpcode.h"
#include "luci/IR/CircleNodeMixins.h"
#include <loco/IR/DataTypeTraits.h>
#include <loco/IR/GraphInputIndex.h>
diff --git a/_circle_input_8h_source.html b/_circle_input_8h_source.html index 3d4977ceb19..8f9e25cd287 100644 --- a/_circle_input_8h_source.html +++ b/_circle_input_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLEINPUT_H__
19
- +
22
24
@@ -152,7 +152,7 @@
loco::GraphInputIndex index(void) const
Nodes with the fixed number of inputs.
- +
uint32_t GraphInputIndex
diff --git a/_circle_node_summary_builder_8cpp_source.html b/_circle_node_summary_builder_8cpp_source.html index f81ec2306ac..323485a7da1 100644 --- a/_circle_node_summary_builder_8cpp_source.html +++ b/_circle_node_summary_builder_8cpp_source.html @@ -421,7 +421,7 @@
s
Definition jpeg2hdf5.py:103
-
CircleOpcode
+
CircleOpcode
CIRCLE_NODE(OPCODE, CLASS)
@ TANH
@ RELU_N1_TO_1
diff --git a/_circle_non_max_suppression_v4_out_8h.html b/_circle_non_max_suppression_v4_out_8h.html index 7651a17b1ba..f139ff7807c 100644 --- a/_circle_non_max_suppression_v4_out_8h.html +++ b/_circle_non_max_suppression_v4_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_non_max_suppression_v4_out_8h_source.html b/_circle_non_max_suppression_v4_out_8h_source.html index 815eda16237..70cfbeb7019 100644 --- a/_circle_non_max_suppression_v4_out_8h_source.html +++ b/_circle_non_max_suppression_v4_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_NONMAXSUPPRESSIONV4OUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_non_max_suppression_v5_out_8h.html b/_circle_non_max_suppression_v5_out_8h.html index 91fb3dc7c3e..0eab8aeb4bd 100644 --- a/_circle_non_max_suppression_v5_out_8h.html +++ b/_circle_non_max_suppression_v5_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_non_max_suppression_v5_out_8h_source.html b/_circle_non_max_suppression_v5_out_8h_source.html index 6a304a00efe..2863031b449 100644 --- a/_circle_non_max_suppression_v5_out_8h_source.html +++ b/_circle_non_max_suppression_v5_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_NONMAXSUPPRESSIONV5OUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_op_code_8cpp.html b/_circle_op_code_8cpp.html index be53af538fb..92d8f2c5050 100644 --- a/_circle_op_code_8cpp.html +++ b/_circle_op_code_8cpp.html @@ -96,7 +96,7 @@
CircleOpCode.cpp File Reference
-
#include "CircleOpCode.h"
+
#include "CircleOpCode.h"
#include <luci/IR/CircleNodes.h>
#include <luci/IR/CircleNodeVisitor.h>
#include <mio/circle/schema_generated.h>
diff --git a/_circle_op_code_8cpp_source.html b/_circle_op_code_8cpp_source.html index 8641be33026..9c09ae1ea7d 100644 --- a/_circle_op_code_8cpp_source.html +++ b/_circle_op_code_8cpp_source.html @@ -113,7 +113,7 @@
14 * limitations under the License.
15 */
16
-
17#include "CircleOpCode.h"
+
17#include "CircleOpCode.h"
18
19#include <luci/IR/CircleNodes.h>
@@ -182,7 +182,7 @@
79} // namespace luci
- +
std::string opcode_name(const CircleNode *node)
diff --git a/_circle_output_8h.html b/_circle_output_8h.html index caa83e764c9..d235089b9f0 100644 --- a/_circle_output_8h.html +++ b/_circle_output_8h.html @@ -96,7 +96,7 @@
diff --git a/_circle_output_8h_source.html b/_circle_output_8h_source.html index d08548c7c75..e75c638ac2d 100644 --- a/_circle_output_8h_source.html +++ b/_circle_output_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLEOUTPUT_H__
19
- +
22
24
@@ -182,7 +182,7 @@
Nodes with the fixed number of inputs.
- +
uint32_t GraphOutputIndex
diff --git a/_circle_shape_inference_8h_source.html b/_circle_shape_inference_8h_source.html index 7798da379ae..10978f45a50 100644 --- a/_circle_shape_inference_8h_source.html +++ b/_circle_shape_inference_8h_source.html @@ -133,7 +133,7 @@
33struct Rule
34{
-
35 bool infer(const luci::CircleNode *, loco::TensorShape &) const;
+
35 bool infer(const luci::CircleNode *, loco::TensorShape &) const;
36};
37
@@ -306,7 +306,7 @@ -
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
diff --git a/_circle_split_out_8h.html b/_circle_split_out_8h.html index c8b2be1d9ab..e0ab2c5571d 100644 --- a/_circle_split_out_8h.html +++ b/_circle_split_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_split_out_8h_source.html b/_circle_split_out_8h_source.html index e0d39a8fedc..ba071caf76a 100644 --- a/_circle_split_out_8h_source.html +++ b/_circle_split_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_SPLITOUT_H__
19
- +
22
24
@@ -154,7 +154,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_split_v_out_8h.html b/_circle_split_v_out_8h.html index cfaeb9d63e6..de04a6e6e67 100644 --- a/_circle_split_v_out_8h.html +++ b/_circle_split_v_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_split_v_out_8h_source.html b/_circle_split_v_out_8h_source.html index f28213ae553..df550f9fda2 100644 --- a/_circle_split_v_out_8h_source.html +++ b/_circle_split_v_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_SPLITVOUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_top_k_v2_out_8h.html b/_circle_top_k_v2_out_8h.html index ccc9eff0ffe..e2713b7027c 100644 --- a/_circle_top_k_v2_out_8h.html +++ b/_circle_top_k_v2_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_top_k_v2_out_8h_source.html b/_circle_top_k_v2_out_8h_source.html index 9924929de25..8ba29f1b399 100644 --- a/_circle_top_k_v2_out_8h_source.html +++ b/_circle_top_k_v2_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_TOPK_V2_OUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_unique_out_8h.html b/_circle_unique_out_8h.html index 0c6753524e5..2b108adc945 100644 --- a/_circle_unique_out_8h.html +++ b/_circle_unique_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_unique_out_8h_source.html b/_circle_unique_out_8h_source.html index dab1473dffc..7598e13e172 100644 --- a/_circle_unique_out_8h_source.html +++ b/_circle_unique_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_UNIQUEOUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_unpack_out_8h.html b/_circle_unpack_out_8h.html index 692c32ea54d..81660290f9c 100644 --- a/_circle_unpack_out_8h.html +++ b/_circle_unpack_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_unpack_out_8h_source.html b/_circle_unpack_out_8h_source.html index 32fab179e23..3f5e84bbabb 100644 --- a/_circle_unpack_out_8h_source.html +++ b/_circle_unpack_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_UNPACKOUT_H__
19
- +
22
24
@@ -155,7 +155,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_circle_while_out_8h.html b/_circle_while_out_8h.html index acac15028ec..6dbf97699e9 100644 --- a/_circle_while_out_8h.html +++ b/_circle_while_out_8h.html @@ -96,7 +96,7 @@

Go to the source code of this file.

diff --git a/_circle_while_out_8h_source.html b/_circle_while_out_8h_source.html index 1bca4c32e4c..f51819fc4db 100644 --- a/_circle_while_out_8h_source.html +++ b/_circle_while_out_8h_source.html @@ -117,7 +117,7 @@
18#define __LUCI_IR_CIRCLE_WHILEOUT_H__
19
- +
22
24
@@ -154,7 +154,7 @@
Nodes with the fixed number of inputs.
- +
diff --git a/_common_sub_expression_elimination_pass_8cpp_source.html b/_common_sub_expression_elimination_pass_8cpp_source.html index fa96f86a492..b0baca61713 100644 --- a/_common_sub_expression_elimination_pass_8cpp_source.html +++ b/_common_sub_expression_elimination_pass_8cpp_source.html @@ -204,7 +204,7 @@
Subst< SubstQualifier::Default > replace(Node *node)
Definition Node.cpp:82
-
CircleOpcode
+
CircleOpcode
static Expression build(luci::CircleNode *node)
diff --git a/_convert_to_fake_quantized_model_pass_8cpp.html b/_convert_to_fake_quantized_model_pass_8cpp.html index dc25384d9ee..c81530cd457 100644 --- a/_convert_to_fake_quantized_model_pass_8cpp.html +++ b/_convert_to_fake_quantized_model_pass_8cpp.html @@ -134,149 +134,149 @@

if (not(COND)) \
return;
-

Definition at line 142 of file ConvertToFakeQuantizedModelPass.cpp.

-
-
149{
-
150 void visit(luci::CircleNode *node)
-
151 {
-
152 throw std::runtime_error("Unsupported op for fake quantization in " + node->name());
-
153 }
-
154
-
155 void visit(luci::CircleInput *node)
-
156 {
-
157 RETURN_UNLESS(is_quant_act(node));
-
158
-
159 auto quant = insert_quantize(node);
-
160 insert_dequantize(quant);
-
161
-
162 dequantize(node);
-
163
-
164 // Update graph input
-
165 const auto inputs = node->graph()->inputs();
-
166 auto graph_input = inputs->at(node->index());
-
167 graph_input->dtype(loco::DataType::FLOAT32);
-
168 }
-
169
-
170 void visit(luci::CircleOutput *node)
-
171 {
-
172 RETURN_UNLESS(is_quant_act(node));
-
173
-
174 dequantize(node);
-
175
-
176 // Update graph output
-
177 const auto outputs = node->graph()->outputs();
-
178 auto graph_output = outputs->at(node->index());
-
179 graph_output->dtype(loco::DataType::FLOAT32);
-
180 }
-
181
-
182 // For quantized const, insert Dequantize Op
-
183 void visit(luci::CircleConst *node)
-
184 {
-
185 RETURN_UNLESS(is_quant_const(node));
-
186
-
187 insert_dequantize(node);
-
188 }
-
189
-
190 // For non-const activation, insert Quantize-Dequantize Ops
-
191 // and dequantize the node
-
192 void visit(luci::CircleAbs *node) { fq_activation(node); }
-
193 void visit(luci::CircleAdd *node) { fq_activation(node); }
-
194 void visit(luci::CircleAveragePool2D *node) { fq_activation(node); }
-
195 void visit(luci::CircleBatchMatMul *node) { fq_activation(node); }
-
196 void visit(luci::CircleConv2D *node) { fq_activation(node); }
-
197 void visit(luci::CircleDepthwiseConv2D *node) { fq_activation(node); }
-
198 void visit(luci::CircleDiv *node) { fq_activation(node); }
-
199 void visit(luci::CircleExp *node) { fq_activation(node); }
-
200 void visit(luci::CircleFullyConnected *node) { fq_activation(node); }
-
201 void visit(luci::CircleGelu *node) { fq_activation(node); }
-
202 void visit(luci::CircleInstanceNorm *node) { fq_activation(node); }
-
203 void visit(luci::CircleLeakyRelu *node) { fq_activation(node); }
-
204 void visit(luci::CircleLogistic *node) { fq_activation(node); }
-
205 void visit(luci::CircleLogSoftmax *node) { fq_activation(node); }
-
206 void visit(luci::CircleMaxPool2D *node) { fq_activation(node); }
-
207 void visit(luci::CircleMaximum *node) { fq_activation(node); }
-
208 void visit(luci::CircleMinimum *node) { fq_activation(node); }
-
209 void visit(luci::CircleMul *node) { fq_activation(node); }
-
210 void visit(luci::CircleNeg *node) { fq_activation(node); }
-
211 void visit(luci::CirclePad *node) { fq_activation(node); }
-
212 void visit(luci::CirclePRelu *node) { fq_activation(node); }
-
213 void visit(luci::CircleMean *node) { fq_activation(node); }
-
214 void visit(luci::CircleReduceProd *node) { fq_activation(node); }
-
215 void visit(luci::CircleReduceMax *node) { fq_activation(node); }
-
216 void visit(luci::CircleRelu *node) { fq_activation(node); }
-
217 void visit(luci::CircleRelu6 *node) { fq_activation(node); }
-
218 void visit(luci::CircleResizeBilinear *node) { fq_activation(node); }
-
219 void visit(luci::CircleResizeNearestNeighbor *node) { fq_activation(node); }
-
220 void visit(luci::CircleRsqrt *node) { fq_activation(node); }
-
221 void visit(luci::CircleSoftmax *node) { fq_activation(node); }
-
222 void visit(luci::CircleSqrt *node) { fq_activation(node); }
-
223 void visit(luci::CircleSquaredDifference *node) { fq_activation(node); }
-
224 void visit(luci::CircleSub *node) { fq_activation(node); }
-
225 void visit(luci::CircleSum *node) { fq_activation(node); }
-
226 void visit(luci::CircleTanh *node) { fq_activation(node); }
-
227 void visit(luci::CircleTransposeConv *node) { fq_activation(node); }
-
228
-
229 // For Ops that do not change the value of input, do nothing
-
230 // (dtype will be automatically updated by type inference)
-
231 void visit(luci::CircleCast *) {}
-
232 void visit(luci::CircleConcatenation *) {}
-
233 void visit(luci::CircleDepthToSpace *) {}
-
234 void visit(luci::CircleGather *) {}
-
235 void visit(luci::CircleSlice *) {}
-
236 void visit(luci::CircleStridedSlice *) {}
-
237 void visit(luci::CircleReshape *) {}
-
238 void visit(luci::CircleSpaceToDepth *) {}
-
239 void visit(luci::CircleSplit *) {}
-
240 void visit(luci::CircleSplitOut *) {}
-
241 void visit(luci::CircleSplitV *) {}
-
242 void visit(luci::CircleSplitVOut *) {}
-
243 void visit(luci::CircleTranspose *) {}
-
244 void visit(luci::CirclePack *) {}
-
245 void visit(luci::CircleUnpack *) {}
-
246 void visit(luci::CircleUnpackOut *) {}
-
247
-
248 // For Ops that return index, fake quantization is unnecessary
-
249 void visit(luci::CircleArgMax *) {}
-
250
-
251 // Virtual node
-
252 void visit(luci::CircleOutputExclude *) {}
-
253
-
254 void visit(luci::CircleQuantize *node)
-
255 {
-
256 RETURN_UNLESS(is_quant_act(node));
-
257
-
258 insert_dequantize(node);
-
259 }
-
260
-
261 // Dequantize Op does nothing in fp32 model
-
262 void visit(luci::CircleDequantize *) {}
-
263};
-
264
-
265#undef RETURN_UNLESS
-
266
-
267} // namespace
-
268
-
269namespace luci
-
270{
-
271
- -
273{
-
274 LOGGER(l);
-
275 for (auto node : loco::active_nodes(loco::output_nodes(g)))
-
276 {
-
277 auto circle_node = loco::must_cast<luci::CircleNode *>(node);
-
278 INFO(l) << "ConvertToFakeQuantizedModelPass visit node: " << circle_node->name() << std::endl;
-
279
-
280 FakeQuantize fq;
-
281 circle_node->accept(&fq);
-
282 }
-
283
-
284 // One time run
-
285 return false;
-
286}
-
287
-
288} // namespace luci
-
#define RETURN_UNLESS(COND)
+

Definition at line 143 of file ConvertToFakeQuantizedModelPass.cpp.

+
+
150{
+
151 void visit(luci::CircleNode *node)
+
152 {
+
153 throw std::runtime_error("Unsupported op for fake quantization in " + node->name());
+
154 }
+
155
+
156 void visit(luci::CircleInput *node)
+
157 {
+
158 RETURN_UNLESS(is_quant_act(node));
+
159
+
160 auto quant = insert_quantize(node);
+
161 insert_dequantize(quant);
+
162
+
163 dequantize(node);
+
164
+
165 // Update graph input
+
166 const auto inputs = node->graph()->inputs();
+
167 auto graph_input = inputs->at(node->index());
+
168 graph_input->dtype(loco::DataType::FLOAT32);
+
169 }
+
170
+
171 void visit(luci::CircleOutput *node)
+
172 {
+
173 RETURN_UNLESS(is_quant_act(node));
+
174
+
175 dequantize(node);
+
176
+
177 // Update graph output
+
178 const auto outputs = node->graph()->outputs();
+
179 auto graph_output = outputs->at(node->index());
+
180 graph_output->dtype(loco::DataType::FLOAT32);
+
181 }
+
182
+
183 // For quantized const, insert Dequantize Op
+
184 void visit(luci::CircleConst *node)
+
185 {
+
186 RETURN_UNLESS(is_quant_const(node));
+
187
+
188 insert_dequantize(node);
+
189 }
+
190
+
191 // For non-const activation, insert Quantize-Dequantize Ops
+
192 // and dequantize the node
+
193 void visit(luci::CircleAbs *node) { fq_activation(node); }
+
194 void visit(luci::CircleAdd *node) { fq_activation(node); }
+
195 void visit(luci::CircleAveragePool2D *node) { fq_activation(node); }
+
196 void visit(luci::CircleBatchMatMul *node) { fq_activation(node); }
+
197 void visit(luci::CircleConv2D *node) { fq_activation(node); }
+
198 void visit(luci::CircleDepthwiseConv2D *node) { fq_activation(node); }
+
199 void visit(luci::CircleDiv *node) { fq_activation(node); }
+
200 void visit(luci::CircleExp *node) { fq_activation(node); }
+
201 void visit(luci::CircleFullyConnected *node) { fq_activation(node); }
+
202 void visit(luci::CircleGelu *node) { fq_activation(node); }
+
203 void visit(luci::CircleInstanceNorm *node) { fq_activation(node); }
+
204 void visit(luci::CircleLeakyRelu *node) { fq_activation(node); }
+
205 void visit(luci::CircleLogistic *node) { fq_activation(node); }
+
206 void visit(luci::CircleLogSoftmax *node) { fq_activation(node); }
+
207 void visit(luci::CircleMaxPool2D *node) { fq_activation(node); }
+
208 void visit(luci::CircleMaximum *node) { fq_activation(node); }
+
209 void visit(luci::CircleMinimum *node) { fq_activation(node); }
+
210 void visit(luci::CircleMul *node) { fq_activation(node); }
+
211 void visit(luci::CircleNeg *node) { fq_activation(node); }
+
212 void visit(luci::CirclePad *node) { fq_activation(node); }
+
213 void visit(luci::CirclePRelu *node) { fq_activation(node); }
+
214 void visit(luci::CircleMean *node) { fq_activation(node); }
+
215 void visit(luci::CircleReduceProd *node) { fq_activation(node); }
+
216 void visit(luci::CircleReduceMax *node) { fq_activation(node); }
+
217 void visit(luci::CircleRelu *node) { fq_activation(node); }
+
218 void visit(luci::CircleRelu6 *node) { fq_activation(node); }
+
219 void visit(luci::CircleResizeBilinear *node) { fq_activation(node); }
+
220 void visit(luci::CircleResizeNearestNeighbor *node) { fq_activation(node); }
+
221 void visit(luci::CircleRsqrt *node) { fq_activation(node); }
+
222 void visit(luci::CircleSoftmax *node) { fq_activation(node); }
+
223 void visit(luci::CircleSqrt *node) { fq_activation(node); }
+
224 void visit(luci::CircleSquaredDifference *node) { fq_activation(node); }
+
225 void visit(luci::CircleSub *node) { fq_activation(node); }
+
226 void visit(luci::CircleSum *node) { fq_activation(node); }
+
227 void visit(luci::CircleTanh *node) { fq_activation(node); }
+
228 void visit(luci::CircleTransposeConv *node) { fq_activation(node); }
+
229
+
230 // For Ops that do not change the value of input, do nothing
+
231 // (dtype will be automatically updated by type inference)
+
232 void visit(luci::CircleCast *) {}
+
233 void visit(luci::CircleConcatenation *) {}
+
234 void visit(luci::CircleDepthToSpace *) {}
+
235 void visit(luci::CircleGather *) {}
+
236 void visit(luci::CircleSlice *) {}
+
237 void visit(luci::CircleStridedSlice *) {}
+
238 void visit(luci::CircleReshape *) {}
+
239 void visit(luci::CircleSpaceToDepth *) {}
+
240 void visit(luci::CircleSplit *) {}
+
241 void visit(luci::CircleSplitOut *) {}
+
242 void visit(luci::CircleSplitV *) {}
+
243 void visit(luci::CircleSplitVOut *) {}
+
244 void visit(luci::CircleTranspose *) {}
+
245 void visit(luci::CirclePack *) {}
+
246 void visit(luci::CircleUnpack *) {}
+
247 void visit(luci::CircleUnpackOut *) {}
+
248
+
249 // For Ops that return index, fake quantization is unnecessary
+
250 void visit(luci::CircleArgMax *) {}
+
251
+
252 // Virtual node
+
253 void visit(luci::CircleOutputExclude *) {}
+
254
+
255 void visit(luci::CircleQuantize *node)
+
256 {
+
257 RETURN_UNLESS(is_quant_act(node));
+
258
+
259 insert_dequantize(node);
+
260 }
+
261
+
262 // Dequantize Op does nothing in fp32 model
+
263 void visit(luci::CircleDequantize *) {}
+
264};
+
265
+
266#undef RETURN_UNLESS
+
267
+
268} // namespace
+
269
+
270namespace luci
+
271{
+
272
+ +
274{
+
275 LOGGER(l);
+
276 for (auto node : loco::active_nodes(loco::output_nodes(g)))
+
277 {
+
278 auto circle_node = loco::must_cast<luci::CircleNode *>(node);
+
279 INFO(l) << "ConvertToFakeQuantizedModelPass visit node: " << circle_node->name() << std::endl;
+
280
+
281 FakeQuantize fq;
+
282 circle_node->accept(&fq);
+
283 }
+
284
+
285 // One time run
+
286 return false;
+
287}
+
288
+
289} // namespace luci
+
#define RETURN_UNLESS(COND)
#define LOGGER(name)
Definition Log.h:65
#define INFO(name)
Definition Log.h:68
A neural network graph.
Definition Graph.h:161
@@ -356,7 +356,7 @@

NodeName name(void) const
-
bool run(loco::Graph *g) final
Run the pass.
+
bool run(loco::Graph *g) final
Run the pass.
diff --git a/_convert_to_fake_quantized_model_pass_8cpp_source.html b/_convert_to_fake_quantized_model_pass_8cpp_source.html index 749ca96084e..057eddd55b2 100644 --- a/_convert_to_fake_quantized_model_pass_8cpp_source.html +++ b/_convert_to_fake_quantized_model_pass_8cpp_source.html @@ -186,212 +186,213 @@
87// 1. dtype is not fp32
88// 2. node has qparam
89// NOTE Quantized const can have the following types
-
90// u8 (weights, activation), s16 (weights, activation), s32 (bias), s64 (bias)
-
91bool is_quant_const(const luci::CircleConst *node)
-
92{
-
93 if (node->dtype() == loco::DataType::FLOAT32)
-
94 return false;
-
95
-
96 if (not node->quantparam())
-
97 return false;
-
98
-
99 return true;
-
100}
-
101
-
102// Insert dequantize Op after node
-
103void insert_dequantize(loco::Node *lnode)
-
104{
-
105 auto node = loco::must_cast<luci::CircleNode *>(lnode);
-
106 auto dequant = create_dequantize(node);
-
107 loco::replace(node).with(dequant);
-
108 dequant->input(node);
-
109}
-
110
-
111// Insert quantize Op after node and return the quantize Op
-
112luci::CircleQuantize *insert_quantize(loco::Node *lnode)
-
113{
-
114 auto node = loco::must_cast<luci::CircleNode *>(lnode);
-
115 auto quant = create_quantize(node);
-
116 loco::replace(node).with(quant);
-
117 quant->input(node);
-
118 return quant;
-
119}
-
120
-
121// Dequantize node
- -
123{
-
124 node->dtype(loco::DataType::FLOAT32);
-
125 node->quantparam(nullptr);
-
126}
-
127
-
128// Do fake quantization on quantized activation
-
129// 1. Insert Quantize-Dequantize Ops
-
130// 2. Update dtype/quantparam of node
-
131void fq_activation(luci::CircleNode *node)
-
132{
-
133 if (not is_quant_act(node))
-
134 return;
-
135
-
136 auto quant = insert_quantize(node);
-
137 insert_dequantize(quant);
-
138
-
139 dequantize(node);
-
140}
-
141
-
-
142#define RETURN_UNLESS(COND) \
-
143 if (not(COND)) \
-
144 return;
+
90// s4 (weights), u4 (weights), u8 (weights, activation),
+
91// s16 (weights, activation), s32 (bias), s64 (bias)
+
92bool is_quant_const(const luci::CircleConst *node)
+
93{
+
94 if (node->dtype() == loco::DataType::FLOAT32)
+
95 return false;
+
96
+
97 if (not node->quantparam())
+
98 return false;
+
99
+
100 return true;
+
101}
+
102
+
103// Insert dequantize Op after node
+
104void insert_dequantize(loco::Node *lnode)
+
105{
+
106 auto node = loco::must_cast<luci::CircleNode *>(lnode);
+
107 auto dequant = create_dequantize(node);
+
108 loco::replace(node).with(dequant);
+
109 dequant->input(node);
+
110}
+
111
+
112// Insert quantize Op after node and return the quantize Op
+
113luci::CircleQuantize *insert_quantize(loco::Node *lnode)
+
114{
+
115 auto node = loco::must_cast<luci::CircleNode *>(lnode);
+
116 auto quant = create_quantize(node);
+
117 loco::replace(node).with(quant);
+
118 quant->input(node);
+
119 return quant;
+
120}
+
121
+
122// Dequantize node
+ +
124{
+
125 node->dtype(loco::DataType::FLOAT32);
+
126 node->quantparam(nullptr);
+
127}
+
128
+
129// Do fake quantization on quantized activation
+
130// 1. Insert Quantize-Dequantize Ops
+
131// 2. Update dtype/quantparam of node
+
132void fq_activation(luci::CircleNode *node)
+
133{
+
134 if (not is_quant_act(node))
+
135 return;
+
136
+
137 auto quant = insert_quantize(node);
+
138 insert_dequantize(quant);
+
139
+
140 dequantize(node);
+
141}
+
142
+
+
143#define RETURN_UNLESS(COND) \
+
144 if (not(COND)) \
+
145 return;
-
145
-
146// Visitor to do fake quantization for each Op
-
147// For non-const activation, insert Quantize-Dequantize after the ofm
-
148// For quantized const, insert Dequantize after the const
-
149struct FakeQuantize final : public luci::CircleNodeMutableVisitor<void>
-
150{
-
151 void visit(luci::CircleNode *node)
-
152 {
-
153 throw std::runtime_error("Unsupported op for fake quantization in " + node->name());
-
154 }
-
155
-
156 void visit(luci::CircleInput *node)
-
157 {
-
158 RETURN_UNLESS(is_quant_act(node));
-
159
-
160 auto quant = insert_quantize(node);
-
161 insert_dequantize(quant);
-
162
-
163 dequantize(node);
-
164
-
165 // Update graph input
-
166 const auto inputs = node->graph()->inputs();
-
167 auto graph_input = inputs->at(node->index());
-
168 graph_input->dtype(loco::DataType::FLOAT32);
-
169 }
-
170
-
171 void visit(luci::CircleOutput *node)
-
172 {
-
173 RETURN_UNLESS(is_quant_act(node));
-
174
-
175 dequantize(node);
-
176
-
177 // Update graph output
-
178 const auto outputs = node->graph()->outputs();
-
179 auto graph_output = outputs->at(node->index());
-
180 graph_output->dtype(loco::DataType::FLOAT32);
-
181 }
-
182
-
183 // For quantized const, insert Dequantize Op
-
184 void visit(luci::CircleConst *node)
-
185 {
-
186 RETURN_UNLESS(is_quant_const(node));
-
187
-
188 insert_dequantize(node);
-
189 }
-
190
-
191 // For non-const activation, insert Quantize-Dequantize Ops
-
192 // and dequantize the node
-
193 void visit(luci::CircleAbs *node) { fq_activation(node); }
-
194 void visit(luci::CircleAdd *node) { fq_activation(node); }
-
195 void visit(luci::CircleAveragePool2D *node) { fq_activation(node); }
-
196 void visit(luci::CircleBatchMatMul *node) { fq_activation(node); }
-
197 void visit(luci::CircleConv2D *node) { fq_activation(node); }
-
198 void visit(luci::CircleDepthwiseConv2D *node) { fq_activation(node); }
-
199 void visit(luci::CircleDiv *node) { fq_activation(node); }
-
200 void visit(luci::CircleExp *node) { fq_activation(node); }
-
201 void visit(luci::CircleFullyConnected *node) { fq_activation(node); }
-
202 void visit(luci::CircleGelu *node) { fq_activation(node); }
-
203 void visit(luci::CircleInstanceNorm *node) { fq_activation(node); }
-
204 void visit(luci::CircleLeakyRelu *node) { fq_activation(node); }
-
205 void visit(luci::CircleLogistic *node) { fq_activation(node); }
-
206 void visit(luci::CircleLogSoftmax *node) { fq_activation(node); }
-
207 void visit(luci::CircleMaxPool2D *node) { fq_activation(node); }
-
208 void visit(luci::CircleMaximum *node) { fq_activation(node); }
-
209 void visit(luci::CircleMinimum *node) { fq_activation(node); }
-
210 void visit(luci::CircleMul *node) { fq_activation(node); }
-
211 void visit(luci::CircleNeg *node) { fq_activation(node); }
-
212 void visit(luci::CirclePad *node) { fq_activation(node); }
-
213 void visit(luci::CirclePRelu *node) { fq_activation(node); }
-
214 void visit(luci::CircleMean *node) { fq_activation(node); }
-
215 void visit(luci::CircleReduceProd *node) { fq_activation(node); }
-
216 void visit(luci::CircleReduceMax *node) { fq_activation(node); }
-
217 void visit(luci::CircleRelu *node) { fq_activation(node); }
-
218 void visit(luci::CircleRelu6 *node) { fq_activation(node); }
-
219 void visit(luci::CircleResizeBilinear *node) { fq_activation(node); }
-
220 void visit(luci::CircleResizeNearestNeighbor *node) { fq_activation(node); }
-
221 void visit(luci::CircleRsqrt *node) { fq_activation(node); }
-
222 void visit(luci::CircleSoftmax *node) { fq_activation(node); }
-
223 void visit(luci::CircleSqrt *node) { fq_activation(node); }
-
224 void visit(luci::CircleSquaredDifference *node) { fq_activation(node); }
-
225 void visit(luci::CircleSub *node) { fq_activation(node); }
-
226 void visit(luci::CircleSum *node) { fq_activation(node); }
-
227 void visit(luci::CircleTanh *node) { fq_activation(node); }
-
228 void visit(luci::CircleTransposeConv *node) { fq_activation(node); }
-
229
-
230 // For Ops that do not change the value of input, do nothing
-
231 // (dtype will be automatically updated by type inference)
-
232 void visit(luci::CircleCast *) {}
- - -
235 void visit(luci::CircleGather *) {}
-
236 void visit(luci::CircleSlice *) {}
- -
238 void visit(luci::CircleReshape *) {}
- -
240 void visit(luci::CircleSplit *) {}
-
241 void visit(luci::CircleSplitOut *) {}
-
242 void visit(luci::CircleSplitV *) {}
- - -
245 void visit(luci::CirclePack *) {}
-
246 void visit(luci::CircleUnpack *) {}
- -
248
-
249 // For Ops that return index, fake quantization is unnecessary
-
250 void visit(luci::CircleArgMax *) {}
-
251
-
252 // Virtual node
- -
254
-
255 void visit(luci::CircleQuantize *node)
-
256 {
-
257 RETURN_UNLESS(is_quant_act(node));
-
258
-
259 insert_dequantize(node);
-
260 }
-
261
-
262 // Dequantize Op does nothing in fp32 model
- -
264};
-
265
-
266#undef RETURN_UNLESS
-
267
-
268} // namespace
-
269
-
270namespace luci
-
271{
-
272
-
- -
274{
-
275 LOGGER(l);
-
276 for (auto node : loco::active_nodes(loco::output_nodes(g)))
-
277 {
-
278 auto circle_node = loco::must_cast<luci::CircleNode *>(node);
-
279 INFO(l) << "ConvertToFakeQuantizedModelPass visit node: " << circle_node->name() << std::endl;
-
280
-
281 FakeQuantize fq;
-
282 circle_node->accept(&fq);
-
283 }
-
284
-
285 // One time run
-
286 return false;
-
287}
+
146
+
147// Visitor to do fake quantization for each Op
+
148// For non-const activation, insert Quantize-Dequantize after the ofm
+
149// For quantized const, insert Dequantize after the const
+
150struct FakeQuantize final : public luci::CircleNodeMutableVisitor<void>
+
151{
+
152 void visit(luci::CircleNode *node)
+
153 {
+
154 throw std::runtime_error("Unsupported op for fake quantization in " + node->name());
+
155 }
+
156
+
157 void visit(luci::CircleInput *node)
+
158 {
+
159 RETURN_UNLESS(is_quant_act(node));
+
160
+
161 auto quant = insert_quantize(node);
+
162 insert_dequantize(quant);
+
163
+
164 dequantize(node);
+
165
+
166 // Update graph input
+
167 const auto inputs = node->graph()->inputs();
+
168 auto graph_input = inputs->at(node->index());
+
169 graph_input->dtype(loco::DataType::FLOAT32);
+
170 }
+
171
+
172 void visit(luci::CircleOutput *node)
+
173 {
+
174 RETURN_UNLESS(is_quant_act(node));
+
175
+
176 dequantize(node);
+
177
+
178 // Update graph output
+
179 const auto outputs = node->graph()->outputs();
+
180 auto graph_output = outputs->at(node->index());
+
181 graph_output->dtype(loco::DataType::FLOAT32);
+
182 }
+
183
+
184 // For quantized const, insert Dequantize Op
+
185 void visit(luci::CircleConst *node)
+
186 {
+
187 RETURN_UNLESS(is_quant_const(node));
+
188
+
189 insert_dequantize(node);
+
190 }
+
191
+
192 // For non-const activation, insert Quantize-Dequantize Ops
+
193 // and dequantize the node
+
194 void visit(luci::CircleAbs *node) { fq_activation(node); }
+
195 void visit(luci::CircleAdd *node) { fq_activation(node); }
+
196 void visit(luci::CircleAveragePool2D *node) { fq_activation(node); }
+
197 void visit(luci::CircleBatchMatMul *node) { fq_activation(node); }
+
198 void visit(luci::CircleConv2D *node) { fq_activation(node); }
+
199 void visit(luci::CircleDepthwiseConv2D *node) { fq_activation(node); }
+
200 void visit(luci::CircleDiv *node) { fq_activation(node); }
+
201 void visit(luci::CircleExp *node) { fq_activation(node); }
+
202 void visit(luci::CircleFullyConnected *node) { fq_activation(node); }
+
203 void visit(luci::CircleGelu *node) { fq_activation(node); }
+
204 void visit(luci::CircleInstanceNorm *node) { fq_activation(node); }
+
205 void visit(luci::CircleLeakyRelu *node) { fq_activation(node); }
+
206 void visit(luci::CircleLogistic *node) { fq_activation(node); }
+
207 void visit(luci::CircleLogSoftmax *node) { fq_activation(node); }
+
208 void visit(luci::CircleMaxPool2D *node) { fq_activation(node); }
+
209 void visit(luci::CircleMaximum *node) { fq_activation(node); }
+
210 void visit(luci::CircleMinimum *node) { fq_activation(node); }
+
211 void visit(luci::CircleMul *node) { fq_activation(node); }
+
212 void visit(luci::CircleNeg *node) { fq_activation(node); }
+
213 void visit(luci::CirclePad *node) { fq_activation(node); }
+
214 void visit(luci::CirclePRelu *node) { fq_activation(node); }
+
215 void visit(luci::CircleMean *node) { fq_activation(node); }
+
216 void visit(luci::CircleReduceProd *node) { fq_activation(node); }
+
217 void visit(luci::CircleReduceMax *node) { fq_activation(node); }
+
218 void visit(luci::CircleRelu *node) { fq_activation(node); }
+
219 void visit(luci::CircleRelu6 *node) { fq_activation(node); }
+
220 void visit(luci::CircleResizeBilinear *node) { fq_activation(node); }
+
221 void visit(luci::CircleResizeNearestNeighbor *node) { fq_activation(node); }
+
222 void visit(luci::CircleRsqrt *node) { fq_activation(node); }
+
223 void visit(luci::CircleSoftmax *node) { fq_activation(node); }
+
224 void visit(luci::CircleSqrt *node) { fq_activation(node); }
+
225 void visit(luci::CircleSquaredDifference *node) { fq_activation(node); }
+
226 void visit(luci::CircleSub *node) { fq_activation(node); }
+
227 void visit(luci::CircleSum *node) { fq_activation(node); }
+
228 void visit(luci::CircleTanh *node) { fq_activation(node); }
+
229 void visit(luci::CircleTransposeConv *node) { fq_activation(node); }
+
230
+
231 // For Ops that do not change the value of input, do nothing
+
232 // (dtype will be automatically updated by type inference)
+
233 void visit(luci::CircleCast *) {}
+ + +
236 void visit(luci::CircleGather *) {}
+
237 void visit(luci::CircleSlice *) {}
+ +
239 void visit(luci::CircleReshape *) {}
+ +
241 void visit(luci::CircleSplit *) {}
+
242 void visit(luci::CircleSplitOut *) {}
+
243 void visit(luci::CircleSplitV *) {}
+ + +
246 void visit(luci::CirclePack *) {}
+
247 void visit(luci::CircleUnpack *) {}
+ +
249
+
250 // For Ops that return index, fake quantization is unnecessary
+
251 void visit(luci::CircleArgMax *) {}
+
252
+
253 // Virtual node
+ +
255
+
256 void visit(luci::CircleQuantize *node)
+
257 {
+
258 RETURN_UNLESS(is_quant_act(node));
+
259
+
260 insert_dequantize(node);
+
261 }
+
262
+
263 // Dequantize Op does nothing in fp32 model
+ +
265};
+
266
+
267#undef RETURN_UNLESS
+
268
+
269} // namespace
+
270
+
271namespace luci
+
272{
+
273
+
+ +
275{
+
276 LOGGER(l);
+
277 for (auto node : loco::active_nodes(loco::output_nodes(g)))
+
278 {
+
279 auto circle_node = loco::must_cast<luci::CircleNode *>(node);
+
280 INFO(l) << "ConvertToFakeQuantizedModelPass visit node: " << circle_node->name() << std::endl;
+
281
+
282 FakeQuantize fq;
+
283 circle_node->accept(&fq);
+
284 }
+
285
+
286 // One time run
+
287 return false;
+
288}
-
288
-
289} // namespace luci
+
289
+
290} // namespace luci
-
#define RETURN_UNLESS(COND)
+
#define RETURN_UNLESS(COND)
@@ -484,7 +485,7 @@
NodeName name(void) const
virtual T visit(CircleNode *)
Default fallback.
-
bool run(loco::Graph *g) final
Run the pass.
+
bool run(loco::Graph *g) final
Run the pass.
diff --git a/_convert_to_fake_quantized_model_pass_8h_source.html b/_convert_to_fake_quantized_model_pass_8h_source.html index cd7a80357e1..cf71207033b 100644 --- a/_convert_to_fake_quantized_model_pass_8h_source.html +++ b/_convert_to_fake_quantized_model_pass_8h_source.html @@ -141,7 +141,7 @@
Class to convert a quantized model to a fake-quantized fp32 model.
-
bool run(loco::Graph *g) final
Run the pass.
+
bool run(loco::Graph *g) final
Run the pass.
diff --git a/_elementwise_8cpp.html b/_elementwise_8cpp.html index 23350715fb0..55c3ba520d3 100644 --- a/_elementwise_8cpp.html +++ b/_elementwise_8cpp.html @@ -142,7 +142,7 @@

References ASSERT, getNumberOfDimensions(), and SetShape().

-

Referenced by relu6Prepare(), reluPrepare(), and softmaxPrepare().

+

Referenced by relu6Prepare(), reluPrepare(), and softmaxPrepare().

diff --git a/_execution_8h_source.html b/_execution_8h_source.html index c104a1937a9..183ce232129 100644 --- a/_execution_8h_source.html +++ b/_execution_8h_source.html @@ -196,21 +196,21 @@
A tensor class that can be trained.
Class to define execution instance to collect input/output information for inference and prepare exec...
Definition Execution.h:43
const ir::Graph & primary_subgraph() const
Returns primary graph object.
Definition Execution.h:57
-
void waitFinish(void)
Return when execution is finished.
Definition Execution.cc:146
-
void setInput(const ir::IOIndex &index, const void *buffer, size_t length, ir::Layout layout=ir::Layout::NHWC)
Set input data's information.
Definition Execution.cc:48
-
bool isFinished(void) const
Check execution is finished.
Definition Execution.cc:154
-
void changeInputShape(const ir::IOIndex &index, const ir::Shape &new_shape)
Change input shape.
Definition Execution.cc:36
-
void setInputLayout(const ir::IOIndex &index, ir::Layout layout)
Set input data's data format.
Definition Execution.cc:115
-
void iterateTrainableTensors(const std::function< void(const ir::OperandIndex &, const backend::train::ITrainableTensor *)> &fn) const
Iterate trainable tensors.
Definition Execution.cc:179
-
float getLoss(const ir::IOIndex &ind)
Get loss.
Definition Execution.cc:168
-
ir::Shape getOutputShape(ir::IOIndex ind) const
Definition Execution.cc:210
-
size_t getInputTotalSize(ir::IOIndex ind) const
Definition Execution.cc:220
-
ir::Shape getInputShape(ir::IOIndex ind) const
Definition Execution.cc:191
-
void setOutputLayout(const ir::IOIndex &index, ir::Layout layout)
Set output data's data format.
Definition Execution.cc:122
-
size_t getOutputTotalSize(ir::IOIndex ind) const
Definition Execution.cc:226
-
void startExecute(void)
Start asynchronous execution.
Definition Execution.cc:139
-
void setOutput(const ir::IOIndex &index, void *buffer, size_t length, ir::Layout layout=ir::Layout::NHWC)
Set output data's information.
Definition Execution.cc:89
-
void execute()
Execution.
Definition Execution.cc:129
+
void waitFinish(void)
Return when execution is finished.
Definition Execution.cc:146
+
void setInput(const ir::IOIndex &index, const void *buffer, size_t length, ir::Layout layout=ir::Layout::NHWC)
Set input data's information.
Definition Execution.cc:48
+
bool isFinished(void) const
Check execution is finished.
Definition Execution.cc:154
+
void changeInputShape(const ir::IOIndex &index, const ir::Shape &new_shape)
Change input shape.
Definition Execution.cc:36
+
void setInputLayout(const ir::IOIndex &index, ir::Layout layout)
Set input data's data format.
Definition Execution.cc:115
+
void iterateTrainableTensors(const std::function< void(const ir::OperandIndex &, const backend::train::ITrainableTensor *)> &fn) const
Iterate trainable tensors.
Definition Execution.cc:179
+
float getLoss(const ir::IOIndex &ind)
Get loss.
Definition Execution.cc:168
+
ir::Shape getOutputShape(ir::IOIndex ind) const
Definition Execution.cc:210
+
size_t getInputTotalSize(ir::IOIndex ind) const
Definition Execution.cc:220
+
ir::Shape getInputShape(ir::IOIndex ind) const
Definition Execution.cc:191
+
void setOutputLayout(const ir::IOIndex &index, ir::Layout layout)
Set output data's data format.
Definition Execution.cc:122
+
size_t getOutputTotalSize(ir::IOIndex ind) const
Definition Execution.cc:226
+
void startExecute(void)
Start asynchronous execution.
Definition Execution.cc:139
+
void setOutput(const ir::IOIndex &index, void *buffer, size_t length, ir::Layout layout=ir::Layout::NHWC)
Set output data's information.
Definition Execution.cc:89
+
void execute()
Execution.
Definition Execution.cc:129
diff --git a/_executor_8cpp_source.html b/_executor_8cpp_source.html index 487ae027dcd..bdc59bd0295 100644 --- a/_executor_8cpp_source.html +++ b/_executor_8cpp_source.html @@ -538,7 +538,7 @@
433 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
434 {
435 success =
-
436 convPrepare(input.shape(), filter.shape(), bias.shape(), padding_left, padding_right,
+
436 convPrepare(input.shape(), filter.shape(), bias.shape(), padding_left, padding_right,
437 padding_top, padding_bottom, stride_width, stride_height, &outShape) &&
438 setInfoAndAllocateIfNeeded(&output, outShape) &&
439 convFloat32(reinterpret_cast<const float *>(input.buffer), input.shape(),
@@ -725,7 +725,7 @@
620
621 ASSERT(input.type == OperandType::TENSOR_FLOAT32);
622 {
-
623 success = relu6Prepare(input.shape(), &outShape) &&
+
623 success = relu6Prepare(input.shape(), &outShape) &&
624 setInfoAndAllocateIfNeeded(&output, outShape) &&
625 relu6Float32(reinterpret_cast<const float *>(input.buffer), input.shape(),
626 reinterpret_cast<float *>(output.buffer), outShape);
@@ -983,6 +983,7 @@
bool addPrepare(const Shape &in1, const Shape &in2, Shape *out)
Definition Add.cpp:21
bool concatenationPrepare(const std::vector< Shape > &inputShapes, int32_t axis, Shape *output)
+
bool convPrepare(const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, Shape *output)
Definition Conv2D.cpp:23
bool depthwiseConvPrepare(const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, Shape *output)
bool divPrepare(const Shape &in1, const Shape &in2, Shape *out)
Definition Div.cpp:21
bool fullyConnectedPrepare(const Shape &input, const Shape &weights, const Shape &bias, Shape *output)
@@ -990,14 +991,13 @@
bool mulPrepare(const Shape &in1, const Shape &in2, Shape *out)
Definition Mul.cpp:21
bool padGeneric(const uint8_t *inputData, const Shape &inputShape, const int32_t *paddings, uint8_t *outputData, const Shape &outputShape)
Definition Pad.cpp:153
bool padPrepare(const Shape &input, const int32_t *paddingsData, const Shape &paddingsShape, Shape *output)
Definition Pad.cpp:28
+
bool relu6Prepare(const Shape &input, Shape *output)
Definition ReLU6.cpp:22
-
bool relu6Prepare(const Shape &input, Shape *output)
Definition ReLU6.cpp:22
bool reluPrepare(const Shape &input, Shape *output)
Definition ReLU.cpp:22
bool reshapeGeneric(const void *inputData, const Shape &inputShape, void *outputData, const Shape &outputShape)
Definition Reshape.cpp:67
bool reshapePrepare(const Shape &input, const int32_t *targetDims, const int32_t targetDimsSize, Shape *output)
Definition Reshape.cpp:24
bool softmaxPrepare(const Shape &input, Shape *output)
Definition Softmax.cpp:22
bool subPrepare(const Shape &in1, const Shape &in2, Shape *out)
Definition Sub.cpp:21
-
bool convPrepare(const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, Shape *output)
Definition Conv2D.cpp:23
@ ANEURALNETWORKS_OP_FAILED
@ ANEURALNETWORKS_BAD_DATA
@ ANEURALNETWORKS_NO_ERROR
diff --git a/_exo_formatted_graph_8cpp_source.html b/_exo_formatted_graph_8cpp_source.html index 998e7e09317..ff18371c16c 100644 --- a/_exo_formatted_graph_8cpp_source.html +++ b/_exo_formatted_graph_8cpp_source.html @@ -735,7 +735,7 @@ - + diff --git a/_float_softmax_kernel_8h.html b/_float_softmax_kernel_8h.html new file mode 100644 index 00000000000..be1310693c2 --- /dev/null +++ b/_float_softmax_kernel_8h.html @@ -0,0 +1,136 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/include/test_models/softmax/FloatSoftmaxKernel.h File Reference + + + + + + + + + + + + + +
+
+ + + + + + +
+
ONE - On-device Neural Engine +
+
+
+ + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+
+
+
+
+
Loading...
+
Searching...
+
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+
+
+
+
+ +
+ +
FloatSoftmaxKernel.h File Reference
+
+
+ +

Go to the source code of this file.

+ + + + +

+Data Structures

class  onert_micro::test_model::TestDataFloatSoftmax
 
+ + + + + + + +

+Namespaces

namespace  onert_micro
 
namespace  onert_micro::test_model
 
namespace  onert_micro::test_model::softmax_float
 
+ + + + + + + +

+Variables

const unsigned char onert_micro::test_model::softmax_float::test_kernel_model_circle []
 
const std::vector< float > onert_micro::test_model::softmax_float::input_data
 
const std::vector< float > onert_micro::test_model::softmax_float::reference_output_data
 
+
+
+ + + + diff --git a/_float_softmax_kernel_8h.js b/_float_softmax_kernel_8h.js new file mode 100644 index 00000000000..8994ee8316f --- /dev/null +++ b/_float_softmax_kernel_8h.js @@ -0,0 +1,7 @@ +var _float_softmax_kernel_8h = +[ + [ "onert_micro::test_model::TestDataFloatSoftmax", "classonert__micro_1_1test__model_1_1_test_data_float_softmax.html", "classonert__micro_1_1test__model_1_1_test_data_float_softmax" ], + [ "input_data", "_float_softmax_kernel_8h.html#ac991962a0912230e5f8f63589f28bf31", null ], + [ "reference_output_data", "_float_softmax_kernel_8h.html#a235eb130b3d2bc18c271ca2597548703", null ], + [ "test_kernel_model_circle", "_float_softmax_kernel_8h.html#a3e2a8a0b21ab721f301b159af253ffff", null ] +]; \ No newline at end of file diff --git a/_float_softmax_kernel_8h_source.html b/_float_softmax_kernel_8h_source.html new file mode 100644 index 00000000000..26290f0ea7f --- /dev/null +++ b/_float_softmax_kernel_8h_source.html @@ -0,0 +1,226 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/include/test_models/softmax/FloatSoftmaxKernel.h Source File + + + + + + + + + + + + + +
+
+ + + + + + +
+
ONE - On-device Neural Engine +
+
+
+ + + + + + + + +
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+ +
+ +
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+ + +
+
+
+
+
+
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+
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+ +
+
FloatSoftmaxKernel.h
+
+
+Go to the documentation of this file.
1/*
+
2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+
3 *
+
4 * Licensed under the Apache License, Version 2.0 (the "License");
+
5 * you may not use this file except in compliance with the License.
+
6 * You may obtain a copy of the License at
+
7 *
+
8 * http://www.apache.org/licenses/LICENSE-2.0
+
9 *
+
10 * Unless required by applicable law or agreed to in writing, software
+
11 * distributed under the License is distributed on an "AS IS" BASIS,
+
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+
13 * See the License for the specific language governing permissions and
+
14 * limitations under the License.
+
15 */
+
16
+
17#ifndef ONERT_MICRO_TEST_MODELS_FLOAT_SOFTMAX_KERNEL_H
+
18#define ONERT_MICRO_TEST_MODELS_FLOAT_SOFTMAX_KERNEL_H
+
19
+
20#include "TestDataSoftmaxBase.h"
+
21
+
22namespace onert_micro
+
23{
+
24namespace test_model
+
25{
+
+
26namespace softmax_float
+
27{
+
28/*
+
29 * Softmax Kernel:
+
30 *
+
31 * Input(1, 3, 3, 2)
+
32 * |
+
33 * Softmax (beta = 1.0)
+
34 * |
+
35 * Output(1, 3, 3, 2)
+
36 */
+
+
37const unsigned char test_kernel_model_circle[] = {
+
38 0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+
39 0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+
40 0x2c, 0x00, 0x00, 0x00, 0x30, 0x01, 0x00, 0x00, 0x4c, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+
41 0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
+
42 0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
43 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
+
44 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
+
45 0x64, 0x00, 0x00, 0x00, 0x68, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+
46 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
+
47 0x00, 0x00, 0x0e, 0x00, 0x16, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00,
+
48 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00,
+
49 0x1c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+
50 0x00, 0x00, 0x80, 0x3f, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
51 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
52 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+
53 0xd4, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+
54 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
55 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x10, 0x00,
+
56 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+
57 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00,
+
58 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+
59 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00,
+
60 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00,
+
61 0x00, 0x00, 0x00, 0x19, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69,
+
62 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};
+
+
63
+
+
64const std::vector<float> input_data = {4.5079355, 4.0126457, 4.491231, 4.8917847, 5.4335933,
+
65 0.3851775, 5.5928035, 1.9821982, 1.5670413, 3.9429772,
+
66 2.0674324, 5.3034077, 1.8939269, 1.2043927, 1.0215454,
+
67 0.9565499, 2.418452, 0.38287657};
+
+
68
+
+
69const std::vector<float> reference_output_data = {
+
70 0.6213518, 0.3786482, 0.4011793, 0.5988207, 0.9936214, 0.0063785487,
+
71 0.9736762, 0.026323803, 0.0850262, 0.9149738, 0.03783413, 0.96216595,
+
72 0.6658633, 0.3341367, 0.51624316, 0.48375684, 0.8844819, 0.11551804};
+
+
73
+
74} // namespace softmax_float
+
+
75
+ +
88
+
89} // namespace test_model
+
90} // namespace onert_micro
+
91
+
92#endif // ONERT_MICRO_TEST_MODELS_FLOAT_SOFTMAX_KERNEL_H
+ + + + + + + + +
const std::vector< float > reference_output_data
+ + + +
+
+ + + + diff --git a/_fuse_activation_function_pass_8cpp.html b/_fuse_activation_function_pass_8cpp.html index 2956f09c48f..d6ca8d5fc27 100644 --- a/_fuse_activation_function_pass_8cpp.html +++ b/_fuse_activation_function_pass_8cpp.html @@ -98,7 +98,7 @@

Go to the source code of this file.

diff --git a/_fuse_activation_function_pass_8cpp_source.html b/_fuse_activation_function_pass_8cpp_source.html index b3e120bdb4c..f45d38ba641 100644 --- a/_fuse_activation_function_pass_8cpp_source.html +++ b/_fuse_activation_function_pass_8cpp_source.html @@ -117,7 +117,7 @@
18
19#include <luci/IR/CircleNodes.h>
- +
23
24namespace luci
@@ -222,7 +222,7 @@
TRANSPOSE_CONV in Circle.
- +
std::set< Node * > succs(const Node *node)
Enumerate all the successors of a given node.
Definition Node.cpp:46
std::set< loco::Node * > active_nodes(const std::vector< loco::Node * > &roots)
Enumerate all the nodes required to compute "roots".
std::set< Node * > preds(const Node *node)
Enumerate all the predecessors of a given node.
Definition Node.cpp:31
diff --git a/_fuse_binary_into_preceding_8cpp_source.html b/_fuse_binary_into_preceding_8cpp_source.html index 4461bffa3fb..57f4e5b009e 100644 --- a/_fuse_binary_into_preceding_8cpp_source.html +++ b/_fuse_binary_into_preceding_8cpp_source.html @@ -590,7 +590,7 @@
std::vector< Node * > output_nodes(Graph *)
Definition Graph.cpp:101
Subst< SubstQualifier::Default > replace(Node *node)
Definition Node.cpp:82
-
void Conv2D(const mir::TensorVariant &input, const mir::TensorVariant &kernel, const mir::Conv2DOpAttributes &attributes, mir::TensorVariant &result, const mir::TensorVariant *fused_bias)
Definition Conv2D.cpp:254
+
void Conv2D(const mir::TensorVariant &input, const mir::TensorVariant &kernel, const mir::Conv2DOpAttributes &attributes, mir::TensorVariant &result, const mir::TensorVariant *fused_bias)
Definition Conv2D.cpp:254
Definition Log.h:23
loco::NodeShape node_shape(const loco::Node *node)
loco::GraphInputIndex index(const TFPlaceholder *node)
Definition TFNode.cpp:54
diff --git a/_fuse_mul_with_div_pass_8cpp.html b/_fuse_mul_with_div_pass_8cpp.html index be01e1d8005..68b26961973 100644 --- a/_fuse_mul_with_div_pass_8cpp.html +++ b/_fuse_mul_with_div_pass_8cpp.html @@ -95,6 +95,7 @@
diff --git a/_fuse_mul_with_div_pass_8cpp_source.html b/_fuse_mul_with_div_pass_8cpp_source.html index aa64243cb29..391bb990aee 100644 --- a/_fuse_mul_with_div_pass_8cpp_source.html +++ b/_fuse_mul_with_div_pass_8cpp_source.html @@ -115,123 +115,204 @@
16
18
- -
20#include <luci/IR/CircleNodes.h>
-
21
-
22namespace luci
-
23{
-
24
-
25namespace
-
26{
-
27
-
28// Return a new CircleConst with a new value
-
29luci::CircleConst *create_div_const_with_new_value(luci::CircleConst *div_const,
-
30 luci::CircleConst *mul_const, float new_value)
-
31{
-
32 assert(div_const); // FIX_CALLER_UNLESS
-
33 assert(div_const->dtype() == loco::DataType::FLOAT32); // FIX_CALLER_UNLESS
-
34 assert(div_const->size<loco::DataType::FLOAT32>() == 1); // FIX_CALLER_UNLESS
-
35
-
36 auto new_div_const = div_const->graph()->nodes()->create<luci::CircleConst>();
-
37 new_div_const->dtype(loco::DataType::FLOAT32);
-
38 new_div_const->size<loco::DataType::FLOAT32>(1);
-
39 new_div_const->rank(1);
-
40 new_div_const->dim(0) = 1;
-
41 new_div_const->at<loco::DataType::FLOAT32>(0) = new_value;
-
42 new_div_const->shape_status(luci::ShapeStatus::VALID);
-
43 new_div_const->name(div_const->name() + ";" + mul_const->name());
-
44
-
45 luci::add_origin(new_div_const, luci::composite_origin(
-
46 {luci::get_origin(div_const), luci::get_origin(mul_const)}));
-
47
-
48 return new_div_const;
-
49}
-
50
-
77bool fuse_mul_with_div(luci::CircleDiv *div)
-
78{
-
79 auto div_const = dynamic_cast<luci::CircleConst *>(div->x());
-
80 if (not div_const)
-
81 return false;
-
82
-
83 if (div_const->dtype() != loco::DataType::FLOAT32)
-
84 return false;
-
85
-
86 if (div_const->size<loco::DataType::FLOAT32>() != 1)
-
87 return false;
-
88
-
89 auto mul = dynamic_cast<luci::CircleMul *>(div->y());
-
90 if (not mul)
-
91 return false;
-
92
-
93 auto mul_const = dynamic_cast<luci::CircleConst *>(mul->y());
-
94 if (not mul_const)
-
95 return false;
-
96
-
97 if (mul_const->dtype() != loco::DataType::FLOAT32)
-
98 return false;
-
99
-
100 if (mul_const->size<loco::DataType::FLOAT32>() != 1)
-
101 return false;
-
102
-
103 const auto div_value = div_const->at<loco::DataType::FLOAT32>(0);
-
104 const auto mul_value = mul_const->at<loco::DataType::FLOAT32>(0);
-
105
-
106 if (mul_value == 0)
-
107 return false;
-
108
-
109 const auto new_value = div_value / mul_value;
-
110
-
111 auto new_div_const = create_div_const_with_new_value(div_const, mul_const, new_value);
+
19#include "helpers/NodeFiller.h"
+
20
+ +
22#include <luci/IR/CircleNodes.h>
+
23
+
24namespace luci
+
25{
+
26
+
27namespace
+
28{
+
29
+
30// Return a new CircleConst with a new value
+
31luci::CircleConst *create_div_const_with_new_value(luci::CircleConst *div_const,
+
32 luci::CircleConst *mul_const, float new_value)
+
33{
+
34 assert(div_const); // FIX_CALLER_UNLESS
+
35 assert(div_const->dtype() == loco::DataType::FLOAT32); // FIX_CALLER_UNLESS
+
36 assert(div_const->size<loco::DataType::FLOAT32>() == 1); // FIX_CALLER_UNLESS
+
37
+
38 auto new_div_const = div_const->graph()->nodes()->create<luci::CircleConst>();
+
39 new_div_const->dtype(loco::DataType::FLOAT32);
+
40 new_div_const->size<loco::DataType::FLOAT32>(1);
+
41 new_div_const->rank(1);
+
42 new_div_const->dim(0) = 1;
+
43 new_div_const->at<loco::DataType::FLOAT32>(0) = new_value;
+
44 new_div_const->shape_status(luci::ShapeStatus::VALID);
+
45 new_div_const->name(div_const->name() + ";" + mul_const->name());
+
46
+
47 luci::add_origin(new_div_const, luci::composite_origin(
+
48 {luci::get_origin(div_const), luci::get_origin(mul_const)}));
+
49
+
50 return new_div_const;
+
51}
+
52
+
53// Return a new CircleConst with a new value
+
54luci::CircleConst *create_mul_const_with_new_value(luci::CircleConst *mul_const,
+
55 luci::CircleConst *div_const, float new_value)
+
56{
+
57 assert(mul_const); // FIX_CALLER_UNLESS
+
58 assert(mul_const->dtype() == loco::DataType::FLOAT32); // FIX_CALLER_UNLESS
+
59 assert(mul_const->size<loco::DataType::FLOAT32>() == 1); // FIX_CALLER_UNLESS
+
60
+
61 auto new_mul_const = mul_const->graph()->nodes()->create<luci::CircleConst>();
+
62 new_mul_const->dtype(loco::DataType::FLOAT32);
+
63 new_mul_const->rank(0);
+
64 new_mul_const->size<loco::DataType::FLOAT32>(1);
+
65 new_mul_const->scalar<loco::DataType::FLOAT32>() = new_value;
+
66 new_mul_const->shape_status(luci::ShapeStatus::VALID);
+
67 new_mul_const->name(mul_const->name() + ";" + div_const->name());
+
68
+
69 luci::add_origin(new_mul_const, luci::composite_origin(
+
70 {luci::get_origin(mul_const), luci::get_origin(div_const)}));
+
71
+
72 return new_mul_const;
+
73}
+
74
+
101bool fuse_mul_with_div(luci::CircleDiv *div)
+
102{
+
103 auto div_const = dynamic_cast<luci::CircleConst *>(div->x());
+
104 if (not div_const)
+
105 return false;
+
106
+
107 if (div_const->dtype() != loco::DataType::FLOAT32)
+
108 return false;
+
109
+
110 if (div_const->size<loco::DataType::FLOAT32>() != 1)
+
111 return false;
112
-
113 div->x(new_div_const);
-
114
-
115 div->y(mul->x());
+
113 auto mul = dynamic_cast<luci::CircleMul *>(div->y());
+
114 if (not mul)
+
115 return false;
116
-
117 return true;
-
118}
-
119
-
120} // namespace
-
121
-
- -
123{
-
124 bool changed = false;
-
125 for (auto node : loco::active_nodes(loco::output_nodes(g)))
-
126 {
-
127 auto div = dynamic_cast<luci::CircleDiv *>(node);
-
128 if (not div)
-
129 continue;
-
130
-
131 if (fuse_mul_with_div(div))
-
132 changed = true;
-
133 }
+
117 auto mul_const = dynamic_cast<luci::CircleConst *>(mul->y());
+
118 if (not mul_const)
+
119 return false;
+
120
+
121 if (mul_const->dtype() != loco::DataType::FLOAT32)
+
122 return false;
+
123
+
124 if (mul_const->size<loco::DataType::FLOAT32>() != 1)
+
125 return false;
+
126
+
127 const auto div_value = div_const->at<loco::DataType::FLOAT32>(0);
+
128 const auto mul_value = mul_const->at<loco::DataType::FLOAT32>(0);
+
129
+
130 if (mul_value == 0)
+
131 return false;
+
132
+
133 const auto new_value = div_value / mul_value;
134
-
135 return changed;
-
136}
+
135 auto new_div_const = create_div_const_with_new_value(div_const, mul_const, new_value);
+
136
+
137 div->x(new_div_const);
+
138
+
139 div->y(mul->x());
+
140
+
141 return true;
+
142}
+
143
+
170bool fuse_mul_with_div_to_mul(luci::CircleDiv *div)
+
171{
+
172 if (div->fusedActivationFunction() != luci::FusedActFunc::NONE)
+
173 return false;
+
174
+
175 luci::CircleMul *mul = nullptr;
+
176 luci::CircleConst *div_const = nullptr;
+
177 if (not luci::fill(&mul, &div_const).with_args_of(div))
+
178 return false;
+
179
+
180 if (mul->fusedActivationFunction() != luci::FusedActFunc::NONE)
+
181 return false;
+
182
+
183 if (div_const->dtype() != loco::DataType::FLOAT32)
+
184 return false;
+
185 // TODO support other shape
+
186 if (div_const->size<loco::DataType::FLOAT32>() != 1)
+
187 return false;
+
188
+
189 luci::CircleNode *mul_input = nullptr;
+
190 luci::CircleConst *mul_const = nullptr;
+
191 if (not luci::fill(&mul_input, &mul_const).with_commutative_args_of(mul))
+
192 return false;
+
193
+
194 if (mul_const->dtype() != loco::DataType::FLOAT32)
+
195 return false;
+
196 // TODO support other shape
+
197 if (mul_const->size<loco::DataType::FLOAT32>() != 1)
+
198 return false;
+
199
+
200 const auto mul_value = mul_const->at<loco::DataType::FLOAT32>(0);
+
201 const auto div_value = div_const->at<loco::DataType::FLOAT32>(0);
+
202 const auto new_value = mul_value / div_value;
+
203 auto new_mul_const = create_mul_const_with_new_value(mul_const, div_const, new_value);
+
204
+
205 auto new_mul = div->graph()->nodes()->create<luci::CircleMul>();
+ +
207 new_mul->x(mul_input);
+
208 new_mul->y(new_mul_const);
+
209 new_mul->name(mul->name());
+
210 luci::add_origin(new_mul, luci::composite_origin({luci::get_origin(div), luci::get_origin(mul)}));
+
211
+
212 replace(div).with(new_mul);
+
213
+
214 return true;
+
215}
+
216
+
217} // namespace
+
218
+
+ +
220{
+
221 bool changed = false;
+
222 for (auto node : loco::active_nodes(loco::output_nodes(g)))
+
223 {
+
224 auto div = dynamic_cast<luci::CircleDiv *>(node);
+
225 if (not div)
+
226 continue;
+
227
+
228 if (fuse_mul_with_div(div))
+
229 changed = true;
+
230
+
231 if (fuse_mul_with_div_to_mul(div))
+
232 changed = true;
+
233 }
+
234
+
235 return changed;
+
236}
-
137
-
138} // namespace luci
+
237
+
238} // namespace luci
+
A neural network graph.
Definition Graph.h:161
NodeContext * nodes(void)
Definition Graph.h:218
Graph * graph(void)
Definition Node.h:70
Derived * create(Args &&...args)
Definition NodePool.h:37
+
void with(Node *into) const
Definition Node.cpp:66
Class to build tensor data.
Definition CircleConst.h:35
const loco::DataTypeImpl< DT >::Type & at(uint32_t n) const
uint32_t size(void) const
DIV in Circle.
Definition CircleDiv.h:37
MUL in Circle.
Definition CircleMul.h:34
+
std::set< loco::Node * > active_nodes(const std::vector< loco::Node * > &roots)
Enumerate all the nodes required to compute "roots".
std::vector< Node * > output_nodes(Graph *)
Definition Graph.cpp:101
+
Subst< SubstQualifier::Default > replace(Node *node)
Definition Node.cpp:82
void mul(const luci_interpreter::RuntimeShape &shape, const ArithmeticParams *params, const int16_t *input1_data, const int16_t *input2_data, int8_t *output_data)
std::shared_ptr< CircleNodeOrigin > composite_origin(const std::initializer_list< std::shared_ptr< CircleNodeOrigin > > origins)
+
NodeFiller< ARG_TYPE_1, ARG_TYPE_2 > fill(ARG_TYPE_1 **arg_1, ARG_TYPE_2 **arg_2)
Definition NodeFiller.h:72
+ +
NodeName name(void) const
-
bool run(loco::Graph *g) final
Run the pass.
+
bool run(loco::Graph *g) final
Run the pass.
diff --git a/_fuse_mul_with_div_pass_8h_source.html b/_fuse_mul_with_div_pass_8h_source.html index 29dc2b8b81e..dd1577f072a 100644 --- a/_fuse_mul_with_div_pass_8h_source.html +++ b/_fuse_mul_with_div_pass_8h_source.html @@ -142,7 +142,7 @@
Class to fuse Mul operation with a Div operation.
const char * name(void) const final
-
bool run(loco::Graph *g) final
Run the pass.
+
bool run(loco::Graph *g) final
Run the pass.
diff --git a/_generate_kernels_list_helper_8cpp_source.html b/_generate_kernels_list_helper_8cpp_source.html index 861929de18b..580616778a0 100644 --- a/_generate_kernels_list_helper_8cpp_source.html +++ b/_generate_kernels_list_helper_8cpp_source.html @@ -328,7 +328,7 @@
224
-
225int main(int argc, char **argv)
+
225int main(int argc, char **argv)
226{
227 if (argc != 3)
228 {
@@ -369,7 +369,7 @@
bool parse(const circle::Model *model)
uint32_t num_subgraph() const
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
diff --git a/_i_r_validator_8cpp_source.html b/_i_r_validator_8cpp_source.html index 1ae06deea2f..80e75d375b1 100644 --- a/_i_r_validator_8cpp_source.html +++ b/_i_r_validator_8cpp_source.html @@ -190,7 +190,7 @@
const luci_interpreter::RuntimeShape output_shape
2D Convolution over 3D Feature Map with 4D kernel
Definition Ops.h:74
Padding2D * pad(void)
Definition Ops.h:120
-
KernelObject * ker(void) const
Definition Conv2D.cpp:64
+
KernelObject * ker(void) const
Definition Conv2D.cpp:64
Stride2D * stride(void)
Definition Ops.h:124
Op * arg(uint32_t n) const final
Return N-th argument.
Child * head(void) const
Definition DLinkedList.h:48
diff --git a/_min_max_observer_8cpp.html b/_min_max_observer_8cpp.html index 767fc28708c..530a0be9f14 100644 --- a/_min_max_observer_8cpp.html +++ b/_min_max_observer_8cpp.html @@ -96,7 +96,7 @@
#include "MinMaxObserver.h"
-#include <luci/IR/CircleOpcode.h>
+#include <luci/IR/CircleOpcode.h>
#include <limits>
#include <math.h>
diff --git a/_min_max_observer_8cpp_source.html b/_min_max_observer_8cpp_source.html index cd93e463810..dd14134bb14 100644 --- a/_min_max_observer_8cpp_source.html +++ b/_min_max_observer_8cpp_source.html @@ -115,7 +115,7 @@
16
17#include "MinMaxObserver.h"
18
- +
20
21#include <limits>
22#include <math.h>
@@ -219,7 +219,7 @@
void recordMinMax(const luci::CircleNode *node, float min, float max)
void postTensorWrite(const luci::CircleNode *node, const luci_interpreter::Tensor *tensor) override
- +
DataType
"scalar" value type
Definition DataType.h:27
DataType
"scalar" value type
Definition DataType.h:32
diff --git a/_mir_interpreter_8cpp_source.html b/_mir_interpreter_8cpp_source.html index e1aebcae6e0..e4f48d9775d 100644 --- a/_mir_interpreter_8cpp_source.html +++ b/_mir_interpreter_8cpp_source.html @@ -694,7 +694,7 @@
void Sigmoid(const mir::TensorVariant &arg, mir::TensorVariant &result)
Definition Sigmoid.cpp:53
void ReduceMean(const mir::TensorVariant &input, const mir::ops::ReduceMeanOp &op, mir::TensorVariant &output)
void Transpose(const mir::TensorVariant &input, const mir::ops::TransposeOp &op, mir::TensorVariant &output)
Definition Transpose.cpp:58
-
void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
Definition LeakyReLU.cpp:44
+
void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
Definition LeakyReLU.cpp:44
void HardSwish(const mir::TensorVariant &input, mir::TensorVariant &result)
Definition HardSwish.cpp:49
void DeConv2D(const TensorVariant &input, const TensorVariant &kernel, const Deconv2DOpAttributes &attributes, TensorVariant &output)
Transposed convolution (or Deconvolution)
Definition DeConv2D.cpp:116
void ReLU(const mir::TensorVariant &arg, mir::TensorVariant &result)
Definition ReLU.cpp:53
@@ -710,12 +710,12 @@
void Softmax(const mir::TensorVariant &arg, int axis, mir::TensorVariant &result)
Definition Softmax.cpp:150
void Slice(const mir::TensorVariant &arg, const mir::Shape &starts, mir::TensorVariant &res)
Definition Slice.cpp:47
void Sqrt(const mir::TensorVariant &arg, mir::TensorVariant &result)
Definition Sqrt.cpp:53
-
void ELU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
Definition ELU.cpp:46
+
void ELU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
Definition ELU.cpp:46
void Add(const TensorVariant &lhs, const TensorVariant &rhs, TensorVariant &res)
Definition Add.cpp:121
void Concat(const std::vector< std::reference_wrapper< const mir::TensorVariant > > &inputs, int axis, mir::TensorVariant &output)
Definition Concat.cpp:166
void Div(const TensorVariant &lhs, const TensorVariant &rhs, TensorVariant &res)
Definition Div.cpp:57
void Sub(const TensorVariant &lhs, const TensorVariant &rhs, TensorVariant &res)
Definition Sub.cpp:56
-
void Conv2D(const mir::TensorVariant &input, const mir::TensorVariant &kernel, const mir::Conv2DOpAttributes &attributes, mir::TensorVariant &result, const mir::TensorVariant *fused_bias)
Definition Conv2D.cpp:254
+
void Conv2D(const mir::TensorVariant &input, const mir::TensorVariant &kernel, const mir::Conv2DOpAttributes &attributes, mir::TensorVariant &result, const mir::TensorVariant *fused_bias)
Definition Conv2D.cpp:254
void Quantize(const TensorVariant &input, TensorVariant &output)
void Dequantize(const TensorVariant &input, TensorVariant &output)
diff --git a/_multi_dialect_shape_inference_rule_8h_source.html b/_multi_dialect_shape_inference_rule_8h_source.html index d8fafe90602..aada379bd08 100644 --- a/_multi_dialect_shape_inference_rule_8h_source.html +++ b/_multi_dialect_shape_inference_rule_8h_source.html @@ -128,7 +128,7 @@
31{
32public:
33 bool recognize(const Dialect *) const final;
-
34 bool infer(const Node *, NodeShape &) const final;
+
34 bool infer(const Node *, NodeShape &) const final;
35
38
@@ -148,7 +148,7 @@
Logical unit of computation.
Definition Node.h:54
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
diff --git a/_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8cpp.html b/_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8cpp.html index 14f83577b0d..4f20d542bdf 100644 --- a/_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8cpp.html +++ b/_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8cpp.html @@ -133,7 +133,7 @@

Definition at line 135 of file NEGEMMMatrixAccumulateBiasesKernel.cpp.

-

Referenced by coco::Op::accept(), coco::Op::accept(), ANeuralNetworksCompilation_create(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutputFromMemory(), ANeuralNetworksMemory_createFromFd(), ANeuralNetworksMemory_free(), ANeuralNetworksModel_addOperand(), ANeuralNetworksModel_addOperation(), ANeuralNetworksModel_create(), ANeuralNetworksModel_finish(), ANeuralNetworksModel_free(), ANeuralNetworksModel_identifyInputsAndOutputs(), ANeuralNetworksModel_setOperandValue(), ANeuralNetworksModel_setOperandValueFromMemory(), coco::BagManager::BagManager(), coco::BlockManager::BlockManager(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::build_activation(), enco::SubnetManager::context(), coco::Module::create(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), enco::CppCode::dump(), luci::dynamic_batch_to_single_batch(), enco::eliminate_dead_bag(), enco::eliminate_dead_object(), enco::eliminate_free_instr(), enco::eliminate_free_op(), enco::eliminate_indirect_copy(), onert::ir::Model::extract_metadata(), nnfw::cker::optimized::FloatDepthwiseConvAccumRowGeneric(), optimized_ops::FloatDepthwiseConvAccumRowGeneric(), enco::generate_bypass_shuffle(), enco::generate_global_data(), coco::DLinkedList< Child, Parent >::head(), enco::hoist_object(), coco::InputManager::InputManager(), kuma::details::IntervalSet::insert(), instr_builder(), instr_builder(), instr_builder(), enco::instr_sequence(), coco::InstrManager::InstrManager(), enco::lower_concat(), enco::lower_copy(), main(), enco::make_session(), coco::EntityBuilder::module(), enco::Bundle::module(), hermes::ConsoleReporter::notify(), coco::ObjectManager::ObjectManager(), op_builder(), op_builder(), nnfw::cker::training_ops::functor::ApplyAdamNonCuda< Device, T >::operator()(), operator<<(), coco::OpManager::OpManager(), luci::CircleOptimizer::optimize(), coco::OutputManager::OutputManager(), tflimport::TensorBags::prepare(), PYBIND11_MODULE(), nnfw::cker::optimized_integer_ops::depthwise_conv::QuantizedDepthwiseConvAccumRowGeneric(), nnfw::cker::optimized::depthwise_conv::QuantizedDepthwiseConvAccumRowGeneric(), enco::reduce_duplicated_object(), enco::reduce_identical_object(), arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run(), luci::CircleShapeInferencePass::run(), luci::CircleTypeInferencePass::run(), luci::FuseBCQPass::run(), enco::select_intrinsic(), enco::session(), RunTimePoolInfo::set(), tflimport::set_module_inputs(), tflimport::set_module_outputs(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), flexbuffers::Reference::ToString(), and luci::validate_unique_name().

+

Referenced by coco::Op::accept(), coco::Op::accept(), ANeuralNetworksCompilation_create(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutputFromMemory(), ANeuralNetworksMemory_createFromFd(), ANeuralNetworksMemory_free(), ANeuralNetworksModel_addOperand(), ANeuralNetworksModel_addOperation(), ANeuralNetworksModel_create(), ANeuralNetworksModel_finish(), ANeuralNetworksModel_free(), ANeuralNetworksModel_identifyInputsAndOutputs(), ANeuralNetworksModel_setOperandValue(), ANeuralNetworksModel_setOperandValueFromMemory(), coco::BagManager::BagManager(), coco::BlockManager::BlockManager(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::build_activation(), enco::SubnetManager::context(), coco::Module::create(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), enco::CppCode::dump(), luci::dynamic_batch_to_single_batch(), enco::eliminate_dead_bag(), enco::eliminate_dead_object(), enco::eliminate_free_instr(), enco::eliminate_free_op(), enco::eliminate_indirect_copy(), onert::ir::Model::extract_metadata(), nnfw::cker::optimized::FloatDepthwiseConvAccumRowGeneric(), optimized_ops::FloatDepthwiseConvAccumRowGeneric(), enco::generate_bypass_shuffle(), enco::generate_global_data(), coco::DLinkedList< Child, Parent >::head(), enco::hoist_object(), coco::InputManager::InputManager(), kuma::details::IntervalSet::insert(), instr_builder(), instr_builder(), instr_builder(), enco::instr_sequence(), coco::InstrManager::InstrManager(), enco::lower_concat(), enco::lower_copy(), main(), enco::make_session(), coco::EntityBuilder::module(), enco::Bundle::module(), hermes::ConsoleReporter::notify(), coco::ObjectManager::ObjectManager(), op_builder(), op_builder(), nnfw::cker::training_ops::functor::ApplyAdamNonCuda< Device, T >::operator()(), operator<<(), coco::OpManager::OpManager(), luci::CircleOptimizer::optimize(), coco::OutputManager::OutputManager(), tflimport::TensorBags::prepare(), PYBIND11_MODULE(), nnfw::cker::optimized_integer_ops::depthwise_conv::QuantizedDepthwiseConvAccumRowGeneric(), nnfw::cker::optimized::depthwise_conv::QuantizedDepthwiseConvAccumRowGeneric(), enco::reduce_duplicated_object(), enco::reduce_identical_object(), arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run(), luci::CircleShapeInferencePass::run(), luci::CircleTypeInferencePass::run(), luci::FuseBCQPass::run(), enco::select_intrinsic(), enco::session(), RunTimePoolInfo::set(), tflimport::set_module_inputs(), tflimport::set_module_outputs(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), TEST(), flexbuffers::Reference::ToString(), and luci::validate_unique_name().

diff --git a/_neg_softmax_kernel_8h.html b/_neg_softmax_kernel_8h.html new file mode 100644 index 00000000000..dff2f58e947 --- /dev/null +++ b/_neg_softmax_kernel_8h.html @@ -0,0 +1,138 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/include/test_models/softmax/NegSoftmaxKernel.h File Reference + + + + + + + + + + + + + +
+
+ + + + + + +
+
ONE - On-device Neural Engine +
+
+
+ + + + + + + +
+
+ +
+
+
+ + + + + + diff --git a/_neg_softmax_kernel_8h.js b/_neg_softmax_kernel_8h.js new file mode 100644 index 00000000000..64241ce942a --- /dev/null +++ b/_neg_softmax_kernel_8h.js @@ -0,0 +1,7 @@ +var _neg_softmax_kernel_8h = +[ + [ "onert_micro::test_model::NegTestDataInputOutputTypeMismatchSoftmaxKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel" ], + [ "onert_micro::test_model::NegTestDataNoQuantParamsSoftmaxKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel" ], + [ "test_kernel_model_circle", "_neg_softmax_kernel_8h.html#a336734ad7014ea12f46a339758bcf71d", null ], + [ "test_kernel_model_circle", "_neg_softmax_kernel_8h.html#ad6226522acfe5f5faf63671abd2ff7c8", null ] +]; \ No newline at end of file diff --git a/_neg_softmax_kernel_8h_source.html b/_neg_softmax_kernel_8h_source.html new file mode 100644 index 00000000000..dcfd0c186e3 --- /dev/null +++ b/_neg_softmax_kernel_8h_source.html @@ -0,0 +1,284 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/include/test_models/softmax/NegSoftmaxKernel.h Source File + + + + + + + + + + + + + +
+
+ + + + + + +
+
ONE - On-device Neural Engine +
+
+
+ + + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+
+
+
+
+
Loading...
+
Searching...
+
No Matches
+
+
+
+
+ +
+
NegSoftmaxKernel.h
+
+
+Go to the documentation of this file.
1/*
+
2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+
3 *
+
4 * Licensed under the Apache License, Version 2.0 (the "License");
+
5 * you may not use this file except in compliance with the License.
+
6 * You may obtain a copy of the License at
+
7 *
+
8 * http://www.apache.org/licenses/LICENSE-2.0
+
9 *
+
10 * Unless required by applicable law or agreed to in writing, software
+
11 * distributed under the License is distributed on an "AS IS" BASIS,
+
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+
13 * See the License for the specific language governing permissions and
+
14 * limitations under the License.
+
15 */
+
16
+
17#ifndef ONERT_MICRO_TEST_MODELS_NEG_SOFTMAX_KERNEL_H
+
18#define ONERT_MICRO_TEST_MODELS_NEG_SOFTMAX_KERNEL_H
+
19
+
20#include "TestDataSoftmaxBase.h"
+
21
+
22namespace onert_micro
+
23{
+
24namespace test_model
+
25{
+
+
26namespace neg_softmax_input_output_type_mismatch
+
27{
+
28/*
+
29 * Softmax Kernel with input output type mismatch (should be equal):
+
30 *
+
31 * Input(1, 3, 3, 2) - Float
+
32 * |
+
33 * Softmax
+
34 * |
+
35 * Output(1, 3, 3, 2) - Int
+
36 */
+
+
37const unsigned char test_kernel_model_circle[] = {
+
38 0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+
39 0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+
40 0x2c, 0x00, 0x00, 0x00, 0x40, 0x01, 0x00, 0x00, 0x5c, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+
41 0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
+
42 0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
43 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
+
44 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
+
45 0x64, 0x00, 0x00, 0x00, 0x68, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+
46 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
+
47 0x00, 0x00, 0x0e, 0x00, 0x16, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00,
+
48 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00,
+
49 0x1c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+
50 0x00, 0x00, 0x80, 0x3f, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
51 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
52 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+
53 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+
54 0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x0c, 0x00, 0x00, 0x00,
+
55 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
56 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x10, 0x00,
+
57 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
+
58 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00,
+
59 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+
60 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00,
+
61 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00,
+
62 0x00, 0x00, 0x00, 0x19, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69,
+
63 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};
+
+
64
+
65} // namespace neg_softmax_input_output_type_mismatch
+
+
66
+
+
67namespace neg_softmax_no_quant_params
+
68{
+
69/*
+
70 * Softmax Kernel with INT16 type and without quant params:
+
71 *
+
72 * Input(1, 3, 3, 2) - INT16
+
73 * |
+
74 * Softmax (no quant params)
+
75 * |
+
76 * Output(1, 3, 3, 2) - INT16
+
77 */
+
+
78const unsigned char test_kernel_model_circle[] = {
+
79 0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
+
80 0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+
81 0x2c, 0x00, 0x00, 0x00, 0x38, 0x01, 0x00, 0x00, 0x54, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+
82 0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
+
83 0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
84 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
+
85 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
+
86 0x64, 0x00, 0x00, 0x00, 0x68, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+
87 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
+
88 0x00, 0x00, 0x0e, 0x00, 0x16, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00,
+
89 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00,
+
90 0x1c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+
91 0x00, 0x00, 0x80, 0x3f, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
92 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
93 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x44, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+
94 0xd0, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07,
+
95 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
+
96 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+
97 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+
98 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07, 0x0c, 0x00, 0x00, 0x00,
+
99 0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
100 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+
101 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00,
+
102 0x0c, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x19, 0x11, 0x00, 0x00, 0x00,
+
103 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c,
+
104 0x65, 0x00, 0x00, 0x00};
+
+
105
+
106} // namespace neg_softmax_no_quant_params
+
+
107
+
+ +
109{
+
110public:
+ +
115
+ +
117
+
118 const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }
+
119
+
120protected:
+
121 const unsigned char *_test_kernel_model_circle;
+
122};
+
+
123
+
+ +
125{
+
126public:
+ +
131
+ +
133
+
134 const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }
+
135
+
136protected:
+
137 const unsigned char *_test_kernel_model_circle;
+
138};
+
+
139
+
140} // namespace test_model
+
141} // namespace onert_micro
+
142
+
143#endif // ONERT_MICRO_TEST_MODELS_NEG_SOFTMAX_KERNEL_H
+ + + + + + + + + + + + + + + +
+
+ + + + diff --git a/_op_selector_8cpp_source.html b/_op_selector_8cpp_source.html index 66e038d3e8f..c5cb2aeb63c 100644 --- a/_op_selector_8cpp_source.html +++ b/_op_selector_8cpp_source.html @@ -180,324 +180,339 @@
94 bool visit(const luci::CircleNode *) final { return false; }
95};
96
-
97std::unique_ptr<loco::Graph> make_graph(const std::vector<const luci::CircleNode *> nodes)
+
97class IsMultiGraphNode final : public luci::CircleNodeVisitor<bool>
98{
-
99 auto graph = loco::make_graph();
-
100
- -
102 // clone nodes
-
103 for (const auto &n : nodes)
-
104 {
-
105 auto clone = luci::clone_node(n, graph.get());
-
106 ctx.emplace(n, clone);
-
107 }
-
108 // set graph input
-
109 for (const auto &n : nodes)
-
110 {
-
111 for (uint32_t i = 0; i < n->arity(); i++)
-
112 {
-
113 auto arg = n->arg(i);
-
114 auto input_node = dynamic_cast<luci::CircleNode *>(arg);
-
115 auto ctx_it = ctx.find(input_node);
-
116 // check if the node already has been cloned
-
117 if (ctx_it != ctx.end())
-
118 continue;
-
119 // the node isn't graph input if it is an other node's input
-
120 if (std::find(nodes.begin(), nodes.end(), arg) != nodes.end())
-
121 continue;
-
122 // do not set graph input if the node is CircleOutputExclude.
-
123 auto circle_output_exclude = dynamic_cast<luci::CircleOutputExclude *>(arg);
-
124 if (circle_output_exclude)
-
125 {
-
126 auto clone = luci::clone_node(circle_output_exclude, graph.get());
-
127 ctx.emplace(circle_output_exclude, clone);
-
128 continue;
-
129 }
-
130 auto circle_const = dynamic_cast<luci::CircleConst *>(arg);
-
131 if (circle_const != nullptr)
-
132 {
-
133 auto clone = luci::clone_node(circle_const, graph.get());
-
134 ctx.emplace(circle_const, clone);
-
135 }
-
136 else
-
137 {
-
138 // circle input
-
139 auto circle_input = graph->nodes()->create<luci::CircleInput>();
-
140 input_node = dynamic_cast<luci::CircleNode *>(arg);
-
141 if (not input_node)
-
142 {
-
143 throw std::runtime_error{"ERROR: Invalid graph"};
-
144 }
-
145 luci::copy_common_attributes(input_node, circle_input);
-
146 ctx.emplace(input_node, circle_input);
-
147 // graph input
-
148 auto graph_input = graph->inputs()->create();
-
149 graph_input->name(circle_input->name());
-
150 graph_input->dtype(circle_input->dtype());
-
151 // graph input shape
-
152 auto input_shape = std::make_unique<loco::TensorShape>();
-
153 input_shape->rank(circle_input->rank());
-
154 for (uint32_t i = 0; i < circle_input->rank(); i++)
-
155 {
-
156 if (circle_input->dim(i).known())
-
157 {
-
158 circle_input->dim(i).set(circle_input->dim(i).value());
-
159 }
-
160 }
-
161 graph_input->shape(std::move(input_shape));
-
162
-
163 circle_input->index(graph_input->index());
-
164 }
-
165 }
-
166 }
-
167
-
168 const auto original_graph = nodes.at(0)->graph();
-
169 const auto original_outputs = loco::output_nodes(const_cast<loco::Graph *>(original_graph));
-
170
-
171 // set graph output
-
172 for (auto &n : nodes)
-
173 {
-
174 auto outputs = loco::succs(n);
-
175 bool beingUsed = false;
-
176 for (const auto &o : outputs)
-
177 {
-
178 if (std::find(nodes.begin(), nodes.end(), o) != nodes.end())
-
179 {
-
180 beingUsed = true;
-
181 break;
-
182 }
-
183 }
-
184
-
185 bool originalOutput = false;
-
186 for (const auto &o : outputs)
-
187 {
-
188 if (std::find(original_outputs.begin(), original_outputs.end(), o) != original_outputs.end())
-
189 {
-
190 originalOutput = true;
-
191 break;
-
192 }
-
193 }
-
194
-
195 // the node isn't graph output if it is an other node's output
-
196 if (beingUsed and not originalOutput)
-
197 continue;
-
198
-
199 IsMultiOutputNode multiout_visitor;
-
200 bool isMultiOut = n->accept(&multiout_visitor);
-
201 for (auto &o : outputs)
-
202 {
-
203 const luci::CircleNode *output_node = nullptr;
-
204 if (isMultiOut)
-
205 {
-
206 output_node = dynamic_cast<const luci::CircleNode *>(o);
-
207 if (not output_node)
-
208 {
-
209 throw std::runtime_error{"ERROR: Invalid graph"};
-
210 }
-
211 }
-
212 else
-
213 {
-
214 output_node = n;
-
215 }
-
216 // circle output
-
217 auto circle_output = graph->nodes()->create<luci::CircleOutput>();
-
218 luci::copy_common_attributes(output_node, circle_output);
-
219 // connect to cloned output node
-
220 circle_output->from(ctx.find(output_node)->second);
-
221 // graph output
-
222 auto graph_output = graph->outputs()->create();
-
223 graph_output->name(output_node->name());
-
224 graph_output->dtype(output_node->dtype());
-
225 // graph output shape
-
226 auto output_shape = std::make_unique<loco::TensorShape>();
-
227 output_shape->rank(circle_output->rank());
-
228 for (uint32_t i = 0; i < output_shape->rank(); i++)
-
229 {
-
230 if (circle_output->dim(i).known())
-
231 {
-
232 output_shape->dim(i).set(circle_output->dim(i).value());
-
233 }
-
234 }
-
235 graph_output->shape(std::move(output_shape));
-
236
-
237 circle_output->index(graph_output->index());
-
238 if (not isMultiOut)
-
239 break;
-
240 }
-
241 }
-
242 // connect nodes
-
243 for (const auto &n : nodes)
-
244 {
-
245 luci::clone_connect(n, ctx);
-
246 }
-
247
-
248 return graph;
-
249}
-
250
-
251} // namespace
-
252
-
253namespace opselector
-
254{
-
255
-
-
256OpSelector::OpSelector(const luci::Module *module) : _module{module}
-
257{
-
258 if (_module->size() != 1)
-
259 {
-
260 throw std::runtime_error{"ERROR: Not support two or more subgraphs"};
-
261 }
-
262}
+
99public:
+
100 bool visit(const luci::CircleIf *) final { return true; }
+
101 bool visit(const luci::CircleWhile *) final { return true; }
+
102 // default is false
+
103 bool visit(const luci::CircleNode *) final { return false; }
+
104};
+
105
+
106std::unique_ptr<loco::Graph> make_graph(const std::vector<const luci::CircleNode *> nodes)
+
107{
+
108 auto graph = loco::make_graph();
+
109
+ +
111 // clone nodes
+
112 for (const auto &n : nodes)
+
113 {
+
114 auto clone = luci::clone_node(n, graph.get());
+
115 ctx.emplace(n, clone);
+
116 }
+
117 // set graph input
+
118 for (const auto &n : nodes)
+
119 {
+
120 for (uint32_t i = 0; i < n->arity(); i++)
+
121 {
+
122 auto arg = n->arg(i);
+
123 auto input_node = dynamic_cast<luci::CircleNode *>(arg);
+
124 auto ctx_it = ctx.find(input_node);
+
125 // check if the node already has been cloned
+
126 if (ctx_it != ctx.end())
+
127 continue;
+
128 // the node isn't graph input if it is an other node's input
+
129 if (std::find(nodes.begin(), nodes.end(), arg) != nodes.end())
+
130 continue;
+
131 // do not set graph input if the node is CircleOutputExclude.
+
132 auto circle_output_exclude = dynamic_cast<luci::CircleOutputExclude *>(arg);
+
133 if (circle_output_exclude)
+
134 {
+
135 auto clone = luci::clone_node(circle_output_exclude, graph.get());
+
136 ctx.emplace(circle_output_exclude, clone);
+
137 continue;
+
138 }
+
139 auto circle_const = dynamic_cast<luci::CircleConst *>(arg);
+
140 if (circle_const != nullptr)
+
141 {
+
142 auto clone = luci::clone_node(circle_const, graph.get());
+
143 ctx.emplace(circle_const, clone);
+
144 }
+
145 else
+
146 {
+
147 // circle input
+
148 auto circle_input = graph->nodes()->create<luci::CircleInput>();
+
149 input_node = dynamic_cast<luci::CircleNode *>(arg);
+
150 if (not input_node)
+
151 {
+
152 throw std::runtime_error{"ERROR: Invalid graph"};
+
153 }
+
154 luci::copy_common_attributes(input_node, circle_input);
+
155 ctx.emplace(input_node, circle_input);
+
156 // graph input
+
157 auto graph_input = graph->inputs()->create();
+
158 graph_input->name(circle_input->name());
+
159 graph_input->dtype(circle_input->dtype());
+
160 // graph input shape
+
161 auto input_shape = std::make_unique<loco::TensorShape>();
+
162 input_shape->rank(circle_input->rank());
+
163 for (uint32_t i = 0; i < circle_input->rank(); i++)
+
164 {
+
165 if (circle_input->dim(i).known())
+
166 {
+
167 circle_input->dim(i).set(circle_input->dim(i).value());
+
168 }
+
169 }
+
170 graph_input->shape(std::move(input_shape));
+
171
+
172 circle_input->index(graph_input->index());
+
173 }
+
174 }
+
175 }
+
176
+
177 const auto original_graph = nodes.at(0)->graph();
+
178 const auto original_outputs = loco::output_nodes(const_cast<loco::Graph *>(original_graph));
+
179
+
180 // set graph output
+
181 for (auto &n : nodes)
+
182 {
+
183 auto outputs = loco::succs(n);
+
184 bool beingUsed = false;
+
185 for (const auto &o : outputs)
+
186 {
+
187 if (std::find(nodes.begin(), nodes.end(), o) != nodes.end())
+
188 {
+
189 beingUsed = true;
+
190 break;
+
191 }
+
192 }
+
193
+
194 bool originalOutput = false;
+
195 for (const auto &o : outputs)
+
196 {
+
197 if (std::find(original_outputs.begin(), original_outputs.end(), o) != original_outputs.end())
+
198 {
+
199 originalOutput = true;
+
200 break;
+
201 }
+
202 }
+
203
+
204 // the node isn't graph output if it is an other node's output
+
205 if (beingUsed and not originalOutput)
+
206 continue;
+
207
+
208 IsMultiOutputNode multiout_visitor;
+
209 bool isMultiOut = n->accept(&multiout_visitor);
+
210 for (auto &o : outputs)
+
211 {
+
212 const luci::CircleNode *output_node = nullptr;
+
213 if (isMultiOut)
+
214 {
+
215 output_node = dynamic_cast<const luci::CircleNode *>(o);
+
216 if (not output_node)
+
217 {
+
218 throw std::runtime_error{"ERROR: Invalid graph"};
+
219 }
+
220 }
+
221 else
+
222 {
+
223 output_node = n;
+
224 }
+
225 // circle output
+
226 auto circle_output = graph->nodes()->create<luci::CircleOutput>();
+
227 luci::copy_common_attributes(output_node, circle_output);
+
228 // connect to cloned output node
+
229 circle_output->from(ctx.find(output_node)->second);
+
230 // graph output
+
231 auto graph_output = graph->outputs()->create();
+
232 graph_output->name(output_node->name());
+
233 graph_output->dtype(output_node->dtype());
+
234 // graph output shape
+
235 auto output_shape = std::make_unique<loco::TensorShape>();
+
236 output_shape->rank(circle_output->rank());
+
237 for (uint32_t i = 0; i < output_shape->rank(); i++)
+
238 {
+
239 if (circle_output->dim(i).known())
+
240 {
+
241 output_shape->dim(i).set(circle_output->dim(i).value());
+
242 }
+
243 }
+
244 graph_output->shape(std::move(output_shape));
+
245
+
246 circle_output->index(graph_output->index());
+
247 if (not isMultiOut)
+
248 break;
+
249 }
+
250 }
+
251 // connect nodes
+
252 for (const auto &n : nodes)
+
253 {
+
254 luci::clone_connect(n, ctx);
+
255 }
+
256
+
257 return graph;
+
258}
+
259
+
260} // namespace
+
261
+
262namespace opselector
+
263{
+
264
+
+
265OpSelector::OpSelector(const luci::Module *module) : _module{module}
+
266{
+
267 // DO NOTHING
+
268}
-
263
-
264template <>
-
265std::vector<const luci::CircleNode *>
-
266OpSelector::select_by<SelectType::ID>(const std::vector<std::string> &comma_tokens)
-
267{
-
268 std::vector<uint32_t> by_id;
269
-
270 for (const auto &comma_token : comma_tokens)
-
271 {
-
272 auto dash_tokens = ::split_into_vector(comma_token, '-');
-
273 if (not ::is_number(dash_tokens))
-
274 {
-
275 throw std::runtime_error{
-
276 "ERROR: To select operator by id, please use these args: [0-9], '-', ','"};
-
277 }
-
278
-
279 // Convert string into integer
-
280 std::vector<uint32_t> int_tokens;
-
281 try
-
282 {
-
283 std::transform(dash_tokens.begin(), dash_tokens.end(), std::back_inserter(int_tokens),
-
284 [](const std::string &str) { return static_cast<uint32_t>(std::stoi(str)); });
-
285 }
-
286 catch (const std::out_of_range &)
-
287 {
-
288 // Uf input is big integer like '123467891234', stoi throws this exception.
-
289 throw std::runtime_error{"ERROR: Argument is out of range."};
-
290 }
-
291 catch (...)
-
292 {
-
293 throw std::runtime_error{"ERROR: Unknown error"};
-
294 }
-
295
-
296 switch (int_tokens.size())
-
297 {
-
298 case 0: // inputs like "-"
-
299 {
-
300 throw std::runtime_error{"ERROR: Nothing was entered"};
-
301 }
-
302 case 1: // inputs like "1", "2"
-
303 {
-
304 by_id.push_back(int_tokens.at(0));
-
305 break;
-
306 }
-
307 case 2: // inputs like "1-2", "11-50"
-
308 {
-
309 for (uint32_t i = int_tokens.at(0); i <= int_tokens.at(1); i++)
-
310 {
-
311 by_id.push_back(i);
-
312 }
-
313 break;
-
314 }
-
315 default: // inputs like "1-2-3"
-
316 {
-
317 throw std::runtime_error{"ERROR: Too many '-' in str."};
-
318 }
-
319 }
-
320 }
-
321
-
322 loco::Graph *graph = _module->graph(0);
-
323 std::vector<const luci::CircleNode *> selected_nodes;
-
324
-
325 for (auto node : loco::all_nodes(graph))
-
326 {
-
327 auto cnode = loco::must_cast<const luci::CircleNode *>(node);
-
328
-
329 try
-
330 {
-
331 auto node_id = luci::get_node_id(cnode);
-
332 for (auto selected_id : by_id)
-
333 {
-
334 if (selected_id == node_id)
-
335 {
-
336 selected_nodes.emplace_back(cnode);
-
337 }
-
338 }
-
339 }
-
340 catch (const std::runtime_error &)
-
341 {
-
342 continue;
-
343 }
-
344 }
-
345
-
346 return selected_nodes;
-
347}
-
348
-
349template <>
-
350std::vector<const luci::CircleNode *>
-
351OpSelector::select_by<SelectType::NAME>(const std::vector<std::string> &tokens)
-
352{
-
353 loco::Graph *graph = _module->graph(0);
-
354 std::vector<const luci::CircleNode *> selected_nodes;
-
355
-
356 for (auto node : loco::all_nodes(graph))
-
357 {
-
358 auto cnode = loco::must_cast<const luci::CircleNode *>(node);
-
359 std::string node_name = cnode->name();
-
360
-
361 for (const auto &selected_name : tokens)
-
362 if (selected_name.compare(node_name) == 0) // find the selected name
-
363 selected_nodes.emplace_back(cnode);
-
364 }
-
365
-
366 return selected_nodes;
-
367}
-
368
-
369template <SelectType SELECT_TYPE>
-
-
370std::unique_ptr<luci::Module> OpSelector::select_by(const std::string &str)
-
371{
-
372 auto colon_tokens = ::split_into_vector(str, ',');
-
373 if (colon_tokens.empty())
-
374 {
-
375 throw std::runtime_error{"ERROR: Nothing was entered."};
-
376 }
-
377
-
378 assert(_module->size() == 1);
-
379
-
380 auto selected_nodes = select_by<SELECT_TYPE>(colon_tokens);
-
381
-
382 // multiout node should be considered
-
383 IsMultiOutputNode multiout_visitor;
-
384 std::vector<const luci::CircleNode *> output_nodes;
-
385 for (const auto &node : selected_nodes)
-
386 {
-
387 if (node->accept(&multiout_visitor))
-
388 {
-
389 auto outputs = loco::succs(node);
-
390 for (auto &o : outputs)
-
391 {
-
392 output_nodes.push_back(dynamic_cast<luci::CircleNode *>(o));
-
393 }
-
394 }
-
395 }
-
396 selected_nodes.insert(selected_nodes.end(), output_nodes.begin(), output_nodes.end());
-
397
-
398 auto new_module = std::make_unique<luci::Module>();
-
399 new_module->add(::make_graph(selected_nodes));
-
400
-
401 return new_module;
-
402}
+
270template <>
+
271std::vector<const luci::CircleNode *>
+
272OpSelector::select_by<SelectType::ID>(const std::vector<std::string> &comma_tokens)
+
273{
+
274 std::vector<uint32_t> by_id;
+
275
+
276 for (const auto &comma_token : comma_tokens)
+
277 {
+
278 auto dash_tokens = ::split_into_vector(comma_token, '-');
+
279 if (not ::is_number(dash_tokens))
+
280 {
+
281 throw std::runtime_error{
+
282 "ERROR: To select operator by id, please use these args: [0-9], '-', ','"};
+
283 }
+
284
+
285 // Convert string into integer
+
286 std::vector<uint32_t> int_tokens;
+
287 try
+
288 {
+
289 std::transform(dash_tokens.begin(), dash_tokens.end(), std::back_inserter(int_tokens),
+
290 [](const std::string &str) { return static_cast<uint32_t>(std::stoi(str)); });
+
291 }
+
292 catch (const std::out_of_range &)
+
293 {
+
294 // Uf input is big integer like '123467891234', stoi throws this exception.
+
295 throw std::runtime_error{"ERROR: Argument is out of range."};
+
296 }
+
297 catch (...)
+
298 {
+
299 throw std::runtime_error{"ERROR: Unknown error"};
+
300 }
+
301
+
302 switch (int_tokens.size())
+
303 {
+
304 case 0: // inputs like "-"
+
305 {
+
306 throw std::runtime_error{"ERROR: Nothing was entered"};
+
307 }
+
308 case 1: // inputs like "1", "2"
+
309 {
+
310 by_id.push_back(int_tokens.at(0));
+
311 break;
+
312 }
+
313 case 2: // inputs like "1-2", "11-50"
+
314 {
+
315 for (uint32_t i = int_tokens.at(0); i <= int_tokens.at(1); i++)
+
316 {
+
317 by_id.push_back(i);
+
318 }
+
319 break;
+
320 }
+
321 default: // inputs like "1-2-3"
+
322 {
+
323 throw std::runtime_error{"ERROR: Too many '-' in str."};
+
324 }
+
325 }
+
326 }
+
327
+
328 loco::Graph *graph = _module->graph(0);
+
329 std::vector<const luci::CircleNode *> selected_nodes;
+
330
+
331 for (auto node : loco::all_nodes(graph))
+
332 {
+
333 auto cnode = loco::must_cast<const luci::CircleNode *>(node);
+
334
+
335 try
+
336 {
+
337 auto node_id = luci::get_node_id(cnode);
+
338 for (auto selected_id : by_id)
+
339 {
+
340 if (selected_id == node_id)
+
341 {
+
342 selected_nodes.emplace_back(cnode);
+
343 }
+
344 }
+
345 }
+
346 catch (const std::runtime_error &)
+
347 {
+
348 continue;
+
349 }
+
350 }
+
351
+
352 return selected_nodes;
+
353}
+
354
+
355template <>
+
356std::vector<const luci::CircleNode *>
+
357OpSelector::select_by<SelectType::NAME>(const std::vector<std::string> &tokens)
+
358{
+
359 loco::Graph *graph = _module->graph(0);
+
360 std::vector<const luci::CircleNode *> selected_nodes;
+
361
+
362 for (auto node : loco::all_nodes(graph))
+
363 {
+
364 auto cnode = loco::must_cast<const luci::CircleNode *>(node);
+
365 std::string node_name = cnode->name();
+
366
+
367 for (const auto &selected_name : tokens)
+
368 if (selected_name.compare(node_name) == 0) // find the selected name
+
369 selected_nodes.emplace_back(cnode);
+
370 }
+
371
+
372 return selected_nodes;
+
373}
+
374
+
375template <SelectType SELECT_TYPE>
+
+
376std::unique_ptr<luci::Module> OpSelector::select_by(const std::string &str)
+
377{
+
378 auto colon_tokens = ::split_into_vector(str, ',');
+
379 if (colon_tokens.empty())
+
380 {
+
381 throw std::runtime_error{"ERROR: Nothing was entered."};
+
382 }
+
383
+
384 auto selected_nodes = select_by<SELECT_TYPE>(colon_tokens);
+
385
+
386 // multiout node should be considered
+
387 IsMultiOutputNode multiout_visitor;
+
388 std::vector<const luci::CircleNode *> output_nodes;
+
389 for (const auto &node : selected_nodes)
+
390 {
+
391 if (node->accept(&multiout_visitor))
+
392 {
+
393 auto outputs = loco::succs(node);
+
394 for (auto &o : outputs)
+
395 {
+
396 output_nodes.push_back(dynamic_cast<luci::CircleNode *>(o));
+
397 }
+
398 }
+
399 }
+
400 selected_nodes.insert(selected_nodes.end(), output_nodes.begin(), output_nodes.end());
+
401
+
402 // TODO support two or more subgraphs
+
403 for (const auto &n : selected_nodes)
+
404 {
+
405 IsMultiGraphNode multigraph_visitor;
+
406 bool isMultiGraph = n->accept(&multigraph_visitor);
+
407 if (isMultiGraph)
+
408 {
+
409 throw std::runtime_error{"ERROR: If or While operator can't be selected."};
+
410 }
+
411 }
+
412
+
413 auto new_module = std::make_unique<luci::Module>();
+
414 new_module->add(::make_graph(selected_nodes));
+
415
+
416 return new_module;
+
417}
-
403
-
404template std::unique_ptr<luci::Module>
-
405OpSelector::select_by<SelectType::ID>(const std::string &str);
-
406
-
407template std::unique_ptr<luci::Module>
-
408OpSelector::select_by<SelectType::NAME>(const std::string &str);
-
409
-
410} // namespace opselector
+
418
+
419template std::unique_ptr<luci::Module>
+
420OpSelector::select_by<SelectType::ID>(const std::string &str);
+
421
+
422template std::unique_ptr<luci::Module>
+
423OpSelector::select_by<SelectType::NAME>(const std::string &str);
+
424
+
425} // namespace opselector
@@ -519,8 +534,7 @@
UNPACK in Circle.
WHILE in Circle.
Definition CircleWhile.h:34
Collection of 'loco::Graph's.
Definition Module.h:33
-
size_t size(void) const
Definition Module.h:44
-
OpSelector(const luci::Module *module)
+
OpSelector(const luci::Module *module)
diff --git a/_ops_8h_source.html b/_ops_8h_source.html index 9350a905a7f..c4e108dcedc 100644 --- a/_ops_8h_source.html +++ b/_ops_8h_source.html @@ -519,18 +519,18 @@
2D Convolution over 3D Feature Map with 4D kernel
Definition Ops.h:74
Instr * loc(void) override
Definition Ops.h:89
const Stride2D * stride(void) const
Definition Ops.h:125
-
std::set< Object * > uses(void) const override
Return a set of object(s) used during execution.
Definition Conv2D.cpp:42
+
std::set< Object * > uses(void) const override
Return a set of object(s) used during execution.
Definition Conv2D.cpp:42
Padding2D * pad(void)
Definition Ops.h:120
const Padding2D * pad(void) const
Definition Ops.h:121
void group(uint32_t g)
Definition Ops.h:117
void arg(Op *arg)
Definition Ops.h:96
Conv2D * asConv2D(void) override
Definition Ops.h:85
-
KernelObject * ker(void) const
Definition Conv2D.cpp:64
+
KernelObject * ker(void) const
Definition Conv2D.cpp:64
uint32_t group(void) const
Divide an input and kernel (= convolution filter) into G independent groups.
Definition Ops.h:116
Op * arg(void) const
Definition Ops.h:95
Stride2D * stride(void)
Definition Ops.h:124
- -
uint32_t arity(void) const final
Return the number of arguments (# of child Ops)
Definition Conv2D.cpp:29
+ +
uint32_t arity(void) const final
Return the number of arguments (# of child Ops)
Definition Conv2D.cpp:29
Op * arg(uint32_t n) const final
Return N-th argument.
const Conv2D * asConv2D(void) const override
Definition Ops.h:86
Element-wise division.
Definition Ops.h:344
diff --git a/_p_a_l_comparisons_8h.html b/_p_a_l_comparisons_8h.html index 7800cfd97b6..4b829333bc9 100644 --- a/_p_a_l_comparisons_8h.html +++ b/_p_a_l_comparisons_8h.html @@ -190,7 +190,7 @@

Definition at line 32 of file PALComparisons.h.

-

Referenced by nnfw::cker::Abs(), nnfw::cker::optimized::Add(), nnfw::cker::optimized::Add(), tflite::reference_ops::ArgMax(), tflite::reference_ops::ArgMax(), nnfw::cker::ArgMinMax(), luci_interpreter_pal::AveragePool(), luci_interpreter_pal::AveragePool(), nnfw::cker::AveragePool16(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), luci_interpreter_pal::AveragePool< int8_t >(), nnfw::cker::AveragePool< uint8_t >(), luci_interpreter_pal::BatchMatMul(), onert::backend::cpu::ops::BatchMatMulLayer::batchMatMulFloat32(), luci_interpreter_pal::BatchToSpaceND(), nnfw::cker::BatchToSpaceND(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::BinaryArithmeticOp(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::BinaryArithmeticOp(), nnfw::cker::reference::BinaryArithmeticOp(), moco::broadcast_shape(), luci_interpreter_pal::BroadcastAdd4DSlow(), onert_micro::execute::pal::BroadcastAdd4DSlow(), nnfw::cker::optimized::BroadcastAddDispatch(), nnfw::cker::optimized::BroadcastAddDispatch(), luci_interpreter_pal::BroadcastArithmeticOp4DSlow(), onert_micro::execute::pal::BroadcastArithmeticOp4DSlow(), nnfw::cker::BroadcastBinaryArithmeticOp(), nnfw::cker::BroadcastBinaryArithmeticOp(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), luci_interpreter_pal::BroadcastBinaryOp4DSlow(), nnfw::cker::BroadcastComparison4DSlow(), nnfw::cker::BroadcastComparison4DSlowImpl(), nnfw::cker::BroadcastComparison4DSlowWithScaling(), luci_interpreter_pal::BroadcastDiv4DSlow(), nnfw::cker::optimized::BroadcastDivDispatch(), luci_interpreter_pal::BroadcastFloorDiv4DSlow(), luci_interpreter_pal::BroadcastFloorMod4DSlow(), luci_interpreter_pal::BroadcastMaximum4DSlow(), luci_interpreter_pal::BroadcastMinimum4DSlow(), luci_interpreter_pal::BroadcastMul4DSlow(), onert_micro::execute::pal::BroadcastMul4DSlow(), nnfw::cker::optimized::BroadcastMulDispatch(), nnfw::cker::optimized::BroadcastMulDispatch(), tflite::reference_ops::BroadcastPow4DSlow(), luci_interpreter_pal::BroadcastPrelu4DSlowFloat(), tflite::reference_ops::BroadcastSelect4DSlow(), nnfw::cker::BroadcastSelect4DSlow(), luci_interpreter_pal::BroadcastSub4DSlow(), onert_micro::execute::pal::BroadcastSub4DSlow(), nnfw::cker::optimized::BroadcastSubDispatch(), luci_interpreter_pal::BroadcastTISO4DSlow(), nnfw::cker::BroadcastTo(), tflimport::SubGraphBuilder::build(), luci_interpreter::kernels::calculateOutputShape(), luci_interpreter::kernels::calculateShapeForBroadcast(), luci_interpreter::kernels::calculateShapeForBroadcast(), nnfw::cker::train::CategoricalCrossEntropy(), luci::change_outputs(), nnfw::cker::checkOutputSize(), nnfw::cker::Comparison(), nnfw::cker::ComparisonImpl(), nnfw::cker::ComparisonWithScaling(), arm_compute::misc::shape_calculator::compute_depth_to_space_shape_ex(), arm_compute::misc::shape_calculator::compute_gather_shape_ex(), arm_compute::misc::shape_calculator::compute_onehot_shape_ex(), arm_compute::misc::shape_calculator::compute_space_to_depth_shape_ex(), luci_interpreter_pal::Concatenation(), nnfw::cker::Concatenation(), onert_micro::execute::pal::Concatenation(), nnfw::cker::ConcatenationWithScaling(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::BatchMatMul::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::BroadcastTo::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::DepthToSpace::configure(), luci_interpreter::kernels::ExpandDims::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::OneHot::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::Reshape::configure(), luci_interpreter::kernels::ResizeBilinear::configure(), luci_interpreter::kernels::ResizeNearestNeighbor::configure(), luci_interpreter::kernels::ShapeKernel::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::SpaceToDepth::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::SplitV::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::Tile::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::CLArgMinMaxLayerEx::configure(), arm_compute::NEGatherKernelEx::configure(), arm_compute::NETransposeConvLayer::configure(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::optimized::Conv(), mir_onnx::convertConvTransposeV1(), mir_onnx::convertConvV1(), mir_onnx::convertShapeV1(), mir_tflite::TFLiteOpCreator::convertTransposeConv(), onert_micro::execute::pal::ConvFloat(), nnfw::cker::Cos(), onert::backend::xnnpack::ops::FullyConnectedLayer::create(), nnfw::cker::train::Depad(), tflite::reference_ops::DepthConcatenation(), luci_interpreter_pal::DepthToSpace(), nnfw::cker::DepthToSpace(), nnfw::cker::DepthwiseConv(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvImpl(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::optimized_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), luci_interpreter_pal::DepthwiseConvPerChannel< int8_t >(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DepthwiseConvWithRounding(), tflite::reference_ops::Dequantize(), nnfw::cker::Dequantize(), nnfw::cker::Dequantize(), nnfw::cker::Dequantize(), nnfw::cker::optimized::DilatedIm2col(), nnfw::ruy::DilatedIm2col(), nnfw::cker::optimized::DilatedIm2col(), nnfw::ruy::DilatedIm2col(), nnfw::cker::optimized::Div(), nnfw::cker::ELU(), nnfw::cker::Erf(), luci_interpreter::kernels::lstm::EvalFloat(), luci_interpreter::kernels::evalTISOInplaceKernel(), luci_interpreter::kernels::evalTISOKernel(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleDiv(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleMul(), luci_interpreter::execute_kernel_CircleSub(), nnfw::cker::Exp(), tflite::reference_ops::FakeQuant(), nnfw::cker::Fill(), luci_interpreter_pal::Floor(), nnfw::cker::Floor(), nnfw::cker::FloorDivBroadcast(), nnfw::cker::FloorModBroadcast(), ConcatSpec::forward(), onert_micro::execute::pal::FullyConnected(), luci_interpreter_pal::FullyConnected(), luci_interpreter_pal::FullyConnected(), nnfw::ruy::FullyConnected(), nnfw::cker::FullyConnected(), luci_interpreter_pal::FullyConnected(), luci_interpreter_pal::FullyConnected(), onert_micro::execute::pal::FullyConnected< float >(), luci_interpreter_pal::FullyConnected< int8_t >(), luci_interpreter_pal::FullyConnected< int8_t >(), nnfw::cker::FullyConnectedHybrid(), nnfw::cker::FullyConnectedSparseWeight16x1(), nnfw::cker::FullyConnectedSparseWeightRandom(), nnfw::cker::train::GradientDescent(), nnfw::cker::HowManyConvThreads(), nnfw::cker::optimized_integer_ops::HowManyConvThreads(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::ruy::Im2col(), luci::infer_output_shape(), onert::shape_inference::inferBatchMatMulShape(), mir::ops::SqueezeOp::inferOutputTypes(), nnfw::cker::InstanceNorm(), luci_interpreter_pal::L2Normalization(), nnfw::cker::L2NormalizeFloat32(), nnfw::cker::L2NormalizeQuant8(), luci_interpreter_pal::L2Pool(), nnfw::cker::LeakyReLU(), tflite::reference_ops::LocalResponseNormalization(), nnfw::cker::Log(), nnfw::cker::LogicalAndBroadcast(), nnfw::cker::LogicalNot(), nnfw::cker::LogicalOrBroadcast(), nnfw::cker::Logistic(), luci_interpreter_pal::LogSoftmax(), nnfw::cker::LogSoftmax(), nnfw::cker::LogSoftmax(), main(), nnfw::cker::MatMulBCast::MatMulBCast(), nnfw::cker::MatrixBandPart(), tflite::reference_ops::Maximum(), tflite::reference_ops::Maximum(), nnfw::cker::MaximumMinimumBroadcast4DSlow(), onert_micro::execute::pal::MaxPool(), luci_interpreter_pal::MaxPool(), luci_interpreter_pal::MaxPool(), nnfw::cker::train::MaxPool2D(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), luci_interpreter_pal::Mean(), nnfw::cker::Mean(), nnfw::cker::MeanAxis1And2(), nnfw::cker::MeanQ8Asymm(), tflite::reference_ops::Minimum(), tflite::reference_ops::Minimum(), nnfw::cker::train::MSE(), tflite::reference_ops::Mul(), tflite::reference_ops::Mul(), nnfw::cker::optimized::Mul(), nnfw::cker::optimized::Mul(), luci_interpreter_pal::Mul(), nnfw::cker::Neg(), luci_interpreter_pal::Negate(), nnfw::cker::Conv::operator()(), nnfw::ruy::Conv::operator()(), nnfw::cker::Conv::operator()(), nnfw::cker::Conv::operator()(), nnfw::cker::Conv::operator()(), nnfw::cker::functor::BroadcastTo< Device, T >::operator()(), nnfw::cker::BatchMatMul::operator()(), nnfw::cker::FusedBatchNorm::operator()(), nnfw::cker::Einsum::operator()(), tflite::reference_ops::Pack(), nnfw::cker::Pack(), tflite::reference_ops::PackWithScaling(), nnfw::cker::Pad(), luci_interpreter_pal::Pad(), tflite::reference_ops::Pow(), nnfw::cker::powImpl(), nnfw::ruy::Conv::prepare(), nnfw::cker::ReduceMean::PrepareforReduce(), nnfw::cker::Conv::prepareQ8uPerTensor(), nnfw::cker::Quantize(), nnfw::cker::Quantize(), nnfw::cker::Quantize(), nnfw::cker::Quantize(), nnfw::cker::Reduce::QuantizedMeanOrSum(), tflite::reference_ops::RankOneSelect(), nnfw::cker::RankOneSelect(), nnfw::cker::Reduce::ReduceGeneric(), nnfw::cker::ReduceMean::ReduceOp(), nnfw::cker::ReduceMean::ReduceOp(), tflite::reference_ops::Relu(), nnfw::cker::ReLU(), tflite::reference_ops::Relu1(), tflite::reference_ops::Relu6(), nnfw::cker::train::ReLU6Grad(), nnfw::cker::train::ReLUGrad(), tflite::reference_ops::ReluX(), tflite::reference_ops::ReluX(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear2x2(), nnfw::cker::ResizeBilinearKernel2x2(), luci_interpreter_pal::ResizeNearestNeighbor(), nnfw::cker::Round(), nnfw::cker::Rsqrt(), onert::compiler::train::pass::LossInsertionPass::run(), mir_interpreter::AvgPool2DImpl< uint8_t >::run(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::MaxPool2DImpl< uint8_t >::run(), mir_interpreter::TransposeImpl< T >::run(), mir_interpreter::MaxPool2DImpl< T >::run(), mir_interpreter::ReduceMeanImpl< T >::run(), mir_interpreter::ConcatImpl< T >::run(), mir_interpreter::ConcatImpl< uint8_t >::run(), mir_interpreter::Conv2DImpl< T >::run(), mir_interpreter::DeConv2DImpl< T >::run(), tflite::reference_ops::ScatterNd(), tflite::reference_ops::SegmentSum(), luci_interpreter_pal::Select(), tflite::reference_ops::Select(), nnfw::cker::Select(), nnkit::support::moco::tf::Backend::setInputOutputFromGraph(), nnfw::cker::Sin(), tflite::reference_ops::Slice(), tflite::reference_ops::Slice(), nnfw::cker::reference::Softmax(), nnfw::cker::Softmax(), nnfw::cker::Softmax(), luci_interpreter_pal::Softmax< int8_t >(), nnfw::cker::train::SoftMaxGrad(), luci_interpreter_pal::SpaceToBatchND(), nnfw::cker::SpaceToBatchND(), luci_interpreter_pal::SpaceToDepth(), nnfw::cker::SpaceToDepth(), tflite::reference_ops::SparseToDense(), nnfw::cker::Split(), nnfw::cker::SqDiff(), nnfw::cker::SqDiffImpl(), nnfw::cker::Sqrt(), nnfw::cker::Square(), nnfw::cker::StatelessRandomUniform(), nnfw::cker::StridedSlice(), nnfw::cker::optimized::Sub(), tflite::reference_ops::Sub16(), nnfw::cker::Tanh(), TEST(), nnfw::cker::Transpose2D(), luci_interpreter_pal::TransposeConv(), nnfw::cker::TransposeConv(), nnfw::cker::TransposeImpl(), nnfw::cker::reference::TransposeImpl(), tflite::reference_ops::Unpack(), nnfw::cker::Unpack(), arm_compute::NEGatherKernelEx::validate(), arm_compute::NETransposeConvLayer::validate(), arm_compute::CLDirectTransposeConvLayer::validate(), enco::validate_output_shape(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), and onert::compiler::pass::PermutationOperationPass::visit().

+

Referenced by nnfw::cker::Abs(), nnfw::cker::optimized::Add(), nnfw::cker::optimized::Add(), tflite::reference_ops::ArgMax(), tflite::reference_ops::ArgMax(), nnfw::cker::ArgMinMax(), luci_interpreter_pal::AveragePool(), luci_interpreter_pal::AveragePool(), nnfw::cker::AveragePool16(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), luci_interpreter_pal::AveragePool< int8_t >(), nnfw::cker::AveragePool< uint8_t >(), luci_interpreter_pal::BatchMatMul(), onert::backend::cpu::ops::BatchMatMulLayer::batchMatMulFloat32(), luci_interpreter_pal::BatchToSpaceND(), nnfw::cker::BatchToSpaceND(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::BinaryArithmeticOp(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::BinaryArithmeticOp(), nnfw::cker::reference::BinaryArithmeticOp(), moco::broadcast_shape(), luci_interpreter_pal::BroadcastAdd4DSlow(), onert_micro::execute::pal::BroadcastAdd4DSlow(), nnfw::cker::optimized::BroadcastAddDispatch(), nnfw::cker::optimized::BroadcastAddDispatch(), luci_interpreter_pal::BroadcastArithmeticOp4DSlow(), onert_micro::execute::pal::BroadcastArithmeticOp4DSlow(), nnfw::cker::BroadcastBinaryArithmeticOp(), nnfw::cker::BroadcastBinaryArithmeticOp(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), nnfw::cker::reference::BroadcastBinaryArithmeticOpSlow(), luci_interpreter_pal::BroadcastBinaryOp4DSlow(), nnfw::cker::BroadcastComparison4DSlow(), nnfw::cker::BroadcastComparison4DSlowImpl(), nnfw::cker::BroadcastComparison4DSlowWithScaling(), luci_interpreter_pal::BroadcastDiv4DSlow(), nnfw::cker::optimized::BroadcastDivDispatch(), luci_interpreter_pal::BroadcastFloorDiv4DSlow(), luci_interpreter_pal::BroadcastFloorMod4DSlow(), luci_interpreter_pal::BroadcastMaximum4DSlow(), luci_interpreter_pal::BroadcastMinimum4DSlow(), luci_interpreter_pal::BroadcastMul4DSlow(), onert_micro::execute::pal::BroadcastMul4DSlow(), nnfw::cker::optimized::BroadcastMulDispatch(), nnfw::cker::optimized::BroadcastMulDispatch(), tflite::reference_ops::BroadcastPow4DSlow(), luci_interpreter_pal::BroadcastPrelu4DSlowFloat(), tflite::reference_ops::BroadcastSelect4DSlow(), nnfw::cker::BroadcastSelect4DSlow(), luci_interpreter_pal::BroadcastSub4DSlow(), onert_micro::execute::pal::BroadcastSub4DSlow(), nnfw::cker::optimized::BroadcastSubDispatch(), luci_interpreter_pal::BroadcastTISO4DSlow(), nnfw::cker::BroadcastTo(), tflimport::SubGraphBuilder::build(), luci_interpreter::kernels::calculateOutputShape(), luci_interpreter::kernels::calculateShapeForBroadcast(), luci_interpreter::kernels::calculateShapeForBroadcast(), nnfw::cker::train::CategoricalCrossEntropy(), luci::change_outputs(), nnfw::cker::checkOutputSize(), nnfw::cker::Comparison(), nnfw::cker::ComparisonImpl(), nnfw::cker::ComparisonWithScaling(), arm_compute::misc::shape_calculator::compute_depth_to_space_shape_ex(), arm_compute::misc::shape_calculator::compute_gather_shape_ex(), arm_compute::misc::shape_calculator::compute_onehot_shape_ex(), arm_compute::misc::shape_calculator::compute_space_to_depth_shape_ex(), luci_interpreter_pal::Concatenation(), nnfw::cker::Concatenation(), onert_micro::execute::pal::Concatenation(), nnfw::cker::ConcatenationWithScaling(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::BatchMatMul::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::BroadcastTo::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::DepthToSpace::configure(), luci_interpreter::kernels::ExpandDims::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::OneHot::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::Reshape::configure(), luci_interpreter::kernels::ResizeBilinear::configure(), luci_interpreter::kernels::ResizeNearestNeighbor::configure(), luci_interpreter::kernels::ShapeKernel::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::SpaceToDepth::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::SplitV::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::Tile::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::CLArgMinMaxLayerEx::configure(), arm_compute::NEGatherKernelEx::configure(), arm_compute::NETransposeConvLayer::configure(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::optimized::Conv(), mir_onnx::convertConvTransposeV1(), mir_onnx::convertConvV1(), mir_onnx::convertShapeV1(), mir_tflite::TFLiteOpCreator::convertTransposeConv(), onert_micro::execute::pal::ConvFloat(), nnfw::cker::Cos(), onert::backend::xnnpack::ops::FullyConnectedLayer::create(), nnfw::cker::train::Depad(), tflite::reference_ops::DepthConcatenation(), luci_interpreter_pal::DepthToSpace(), nnfw::cker::DepthToSpace(), nnfw::cker::DepthwiseConv(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvImpl(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::optimized_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), luci_interpreter_pal::DepthwiseConvPerChannel< int8_t >(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DepthwiseConvWithRounding(), tflite::reference_ops::Dequantize(), nnfw::cker::Dequantize(), nnfw::cker::Dequantize(), nnfw::cker::Dequantize(), nnfw::cker::optimized::DilatedIm2col(), nnfw::ruy::DilatedIm2col(), nnfw::cker::optimized::DilatedIm2col(), nnfw::ruy::DilatedIm2col(), nnfw::cker::optimized::Div(), nnfw::cker::ELU(), nnfw::cker::Erf(), luci_interpreter::kernels::lstm::EvalFloat(), luci_interpreter::kernels::evalTISOInplaceKernel(), luci_interpreter::kernels::evalTISOKernel(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleDiv(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleMul(), luci_interpreter::execute_kernel_CircleSub(), nnfw::cker::Exp(), tflite::reference_ops::FakeQuant(), nnfw::cker::Fill(), luci_interpreter_pal::Floor(), nnfw::cker::Floor(), nnfw::cker::FloorDivBroadcast(), nnfw::cker::FloorModBroadcast(), ConcatSpec::forward(), onert_micro::execute::pal::FullyConnected(), luci_interpreter_pal::FullyConnected(), luci_interpreter_pal::FullyConnected(), nnfw::ruy::FullyConnected(), nnfw::cker::FullyConnected(), luci_interpreter_pal::FullyConnected(), luci_interpreter_pal::FullyConnected(), onert_micro::execute::pal::FullyConnected< float >(), luci_interpreter_pal::FullyConnected< int8_t >(), luci_interpreter_pal::FullyConnected< int8_t >(), nnfw::cker::FullyConnectedHybrid(), nnfw::cker::FullyConnectedSparseWeight16x1(), nnfw::cker::FullyConnectedSparseWeightRandom(), nnfw::cker::train::GradientDescent(), nnfw::cker::HowManyConvThreads(), nnfw::cker::optimized_integer_ops::HowManyConvThreads(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::ruy::Im2col(), luci::infer_output_shape(), onert::shape_inference::inferBatchMatMulShape(), mir::ops::SqueezeOp::inferOutputTypes(), nnfw::cker::InstanceNorm(), luci_interpreter_pal::L2Normalization(), nnfw::cker::L2NormalizeFloat32(), nnfw::cker::L2NormalizeQuant8(), luci_interpreter_pal::L2Pool(), nnfw::cker::LeakyReLU(), tflite::reference_ops::LocalResponseNormalization(), nnfw::cker::Log(), nnfw::cker::LogicalAndBroadcast(), nnfw::cker::LogicalNot(), nnfw::cker::LogicalOrBroadcast(), nnfw::cker::Logistic(), luci_interpreter_pal::LogSoftmax(), nnfw::cker::LogSoftmax(), nnfw::cker::LogSoftmax(), main(), nnfw::cker::MatMulBCast::MatMulBCast(), nnfw::cker::MatrixBandPart(), tflite::reference_ops::Maximum(), tflite::reference_ops::Maximum(), nnfw::cker::MaximumMinimumBroadcast4DSlow(), onert_micro::execute::pal::MaxPool(), luci_interpreter_pal::MaxPool(), luci_interpreter_pal::MaxPool(), nnfw::cker::train::MaxPool2D(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), luci_interpreter_pal::Mean(), nnfw::cker::Mean(), nnfw::cker::MeanAxis1And2(), nnfw::cker::MeanQ8Asymm(), tflite::reference_ops::Minimum(), tflite::reference_ops::Minimum(), nnfw::cker::train::MSE(), tflite::reference_ops::Mul(), tflite::reference_ops::Mul(), nnfw::cker::optimized::Mul(), nnfw::cker::optimized::Mul(), luci_interpreter_pal::Mul(), nnfw::cker::Neg(), luci_interpreter_pal::Negate(), nnfw::cker::Conv::operator()(), nnfw::ruy::Conv::operator()(), nnfw::cker::Conv::operator()(), nnfw::cker::Conv::operator()(), nnfw::cker::Conv::operator()(), nnfw::cker::functor::BroadcastTo< Device, T >::operator()(), nnfw::cker::BatchMatMul::operator()(), nnfw::cker::FusedBatchNorm::operator()(), nnfw::cker::Einsum::operator()(), tflite::reference_ops::Pack(), nnfw::cker::Pack(), tflite::reference_ops::PackWithScaling(), nnfw::cker::Pad(), luci_interpreter_pal::Pad(), tflite::reference_ops::Pow(), nnfw::cker::powImpl(), nnfw::ruy::Conv::prepare(), nnfw::cker::ReduceMean::PrepareforReduce(), nnfw::cker::Conv::prepareQ8uPerTensor(), nnfw::cker::Quantize(), nnfw::cker::Quantize(), nnfw::cker::Quantize(), nnfw::cker::Quantize(), nnfw::cker::Reduce::QuantizedMeanOrSum(), tflite::reference_ops::RankOneSelect(), nnfw::cker::RankOneSelect(), nnfw::cker::Reduce::ReduceGeneric(), nnfw::cker::ReduceMean::ReduceOp(), nnfw::cker::ReduceMean::ReduceOp(), tflite::reference_ops::Relu(), nnfw::cker::ReLU(), tflite::reference_ops::Relu1(), tflite::reference_ops::Relu6(), nnfw::cker::train::ReLU6Grad(), nnfw::cker::train::ReLUGrad(), tflite::reference_ops::ReluX(), tflite::reference_ops::ReluX(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear(), nnfw::cker::ResizeBilinear2x2(), nnfw::cker::ResizeBilinearKernel2x2(), luci_interpreter_pal::ResizeNearestNeighbor(), nnfw::cker::Round(), nnfw::cker::Rsqrt(), onert::compiler::train::pass::LossInsertionPass::run(), mir_interpreter::AvgPool2DImpl< uint8_t >::run(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::MaxPool2DImpl< uint8_t >::run(), mir_interpreter::TransposeImpl< T >::run(), mir_interpreter::MaxPool2DImpl< T >::run(), mir_interpreter::ReduceMeanImpl< T >::run(), mir_interpreter::ConcatImpl< T >::run(), mir_interpreter::ConcatImpl< uint8_t >::run(), mir_interpreter::Conv2DImpl< T >::run(), mir_interpreter::DeConv2DImpl< T >::run(), tflite::reference_ops::ScatterNd(), tflite::reference_ops::SegmentSum(), luci_interpreter_pal::Select(), tflite::reference_ops::Select(), nnfw::cker::Select(), nnkit::support::moco::tf::Backend::setInputOutputFromGraph(), nnfw::cker::Sin(), tflite::reference_ops::Slice(), tflite::reference_ops::Slice(), nnfw::cker::reference::Softmax(), nnfw::cker::Softmax(), nnfw::cker::Softmax(), luci_interpreter_pal::Softmax< int8_t >(), nnfw::cker::train::SoftMaxGrad(), luci_interpreter_pal::SpaceToBatchND(), nnfw::cker::SpaceToBatchND(), luci_interpreter_pal::SpaceToDepth(), nnfw::cker::SpaceToDepth(), tflite::reference_ops::SparseToDense(), nnfw::cker::Split(), nnfw::cker::SqDiff(), nnfw::cker::SqDiffImpl(), nnfw::cker::Sqrt(), nnfw::cker::Square(), nnfw::cker::StatelessRandomUniform(), nnfw::cker::StridedSlice(), nnfw::cker::optimized::Sub(), tflite::reference_ops::Sub16(), nnfw::cker::Tanh(), TEST(), nnfw::cker::Transpose2D(), luci_interpreter_pal::TransposeConv(), nnfw::cker::TransposeConv(), nnfw::cker::TransposeImpl(), nnfw::cker::reference::TransposeImpl(), tflite::reference_ops::Unpack(), nnfw::cker::Unpack(), arm_compute::NEGatherKernelEx::validate(), arm_compute::NETransposeConvLayer::validate(), arm_compute::CLDirectTransposeConvLayer::validate(), enco::validate_output_shape(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::pass::PermutationOperationPass::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::ShapeValidator::visit(), onert::compiler::ShapeValidator::visit(), onert::exec::DynamicShapeInferer::visit(), onert::exec::DynamicShapeInferer::visit(), onert::compiler::ShapeValidator::visit(), and onert::compiler::pass::PermutationOperationPass::visit().

diff --git a/_p_a_l_softmax_common_8h.js b/_p_a_l_softmax_common_8h.js deleted file mode 100644 index e9ba9b7e645..00000000000 --- a/_p_a_l_softmax_common_8h.js +++ /dev/null @@ -1,4 +0,0 @@ -var _p_a_l_softmax_common_8h = -[ - [ "Softmax", "_p_a_l_softmax_common_8h.html#ae63c57675d1cfca5c313c2fff99a8177", null ] -]; \ No newline at end of file diff --git a/_partition_i_r_8cpp.html b/_partition_i_r_8cpp.html index 99d6689048c..670b7e882e6 100644 --- a/_partition_i_r_8cpp.html +++ b/_partition_i_r_8cpp.html @@ -95,7 +95,7 @@
#include "PartitionIR.h"
-#include "CircleOpCode.h"
+#include "CircleOpCode.h"
#include "luci/Log.h"
#include <cassert>
#include <ostream>
diff --git a/_partition_i_r_8cpp_source.html b/_partition_i_r_8cpp_source.html index 2d8267fbef6..4b548deda00 100644 --- a/_partition_i_r_8cpp_source.html +++ b/_partition_i_r_8cpp_source.html @@ -114,7 +114,7 @@
15 */
16
17#include "PartitionIR.h"
-
18#include "CircleOpCode.h"
+
18#include "CircleOpCode.h"
19
20#include "luci/Log.h"
21
@@ -208,7 +208,7 @@
#define LOGGER(name)
Definition Log.h:65
#define INFO(name)
Definition Log.h:68
- +
std::string GroupKey
Definition PartitionIR.h:32
diff --git a/_partition_i_r_dump_8cpp.html b/_partition_i_r_dump_8cpp.html index 125df81a4b2..7b8b95b2271 100644 --- a/_partition_i_r_dump_8cpp.html +++ b/_partition_i_r_dump_8cpp.html @@ -96,7 +96,7 @@
#include "PartitionIRDump.h"
-#include "CircleOpCode.h"
+#include "CircleOpCode.h"
#include <iostream>

Go to the source code of this file.

diff --git a/_partition_i_r_dump_8cpp_source.html b/_partition_i_r_dump_8cpp_source.html index a7c28240214..2161299c6f6 100644 --- a/_partition_i_r_dump_8cpp_source.html +++ b/_partition_i_r_dump_8cpp_source.html @@ -115,7 +115,7 @@
16
17#include "PartitionIRDump.h"
18
-
19#include "CircleOpCode.h"
+
19#include "CircleOpCode.h"
20
21#include <iostream>
22
@@ -178,7 +178,7 @@
std::ostream & operator<<(std::ostream &os, const luci::PGroups *pgroups)
- +
std::string opcode_name(const CircleNode *node)
void dump(std::ostream &os, const PNode *pnode)
diff --git a/_partition_p_groups_8cpp.html b/_partition_p_groups_8cpp.html index 3dbac60a759..06f4012cda0 100644 --- a/_partition_p_groups_8cpp.html +++ b/_partition_p_groups_8cpp.html @@ -97,7 +97,7 @@
#include "PartitionPGroups.h"
#include "PartitionIR.h"
-#include "CircleOpCode.h"
+#include "CircleOpCode.h"
#include "luci/Partition.h"
#include "luci/Log.h"
#include "luci/LogHelper.h"
diff --git a/_partition_p_groups_8cpp_source.html b/_partition_p_groups_8cpp_source.html index c3baa1311e5..55b0e0a8d90 100644 --- a/_partition_p_groups_8cpp_source.html +++ b/_partition_p_groups_8cpp_source.html @@ -115,7 +115,7 @@
16
17#include "PartitionPGroups.h"
18#include "PartitionIR.h"
-
19#include "CircleOpCode.h"
+
19#include "CircleOpCode.h"
20
21#include "luci/Partition.h"
22#include "luci/Log.h"
@@ -394,7 +394,7 @@ - +
std::set< Node * > succs(const Node *node)
Enumerate all the successors of a given node.
Definition Node.cpp:46
diff --git a/_propagate_q_param_backward_pass_8cpp_source.html b/_propagate_q_param_backward_pass_8cpp_source.html index 5148b8a0ab6..0b947cdbdd1 100644 --- a/_propagate_q_param_backward_pass_8cpp_source.html +++ b/_propagate_q_param_backward_pass_8cpp_source.html @@ -582,7 +582,7 @@
void propagate_pad_v2_quantparam(luci::CirclePadV2 *pad_v2)
void propagate_concat_quantparam(luci::CircleConcatenation *concat)
- +
void quant_const(luci::CircleConst *node, loco::DataType quant_type)
luci::CircleConst * clone(luci::CircleConst *node)
Return cloned object of CircleConst node.
bool is_quantized(const CircleNode *node)
diff --git a/_q_implant_8cpp_source.html b/_q_implant_8cpp_source.html index 02954f9e443..ac0c3171485 100644 --- a/_q_implant_8cpp_source.html +++ b/_q_implant_8cpp_source.html @@ -445,7 +445,7 @@
std::set< loco::Node * > active_nodes(const std::vector< loco::Node * > &roots)
Enumerate all the nodes required to compute "roots".
std::vector< Node * > output_nodes(Graph *)
Definition Graph.cpp:101
DataType
"scalar" value type
Definition DataType.h:27
- +
CircleQuantParam * quantparam(void) const
diff --git a/_quantization_utils_8cpp_source.html b/_quantization_utils_8cpp_source.html index 574c192bed7..e3e977067b8 100644 --- a/_quantization_utils_8cpp_source.html +++ b/_quantization_utils_8cpp_source.html @@ -736,7 +736,7 @@
@ PreDefinedSoftmax
void asymmetric_wquant_with_minmax_per_layer(CircleConst *node, float min, float max, float &scaling_factor, int64_t &zp, float &nudged_min, float &nudged_max)
- +
ActivationQType activation_qtype(const CircleNode *node)
void quant_const(luci::CircleConst *node, loco::DataType quant_type)
bool get_channel_dim_index(CircleConst *node, loco::TensorShape &dimension, int32_t &channel_dim_index)
diff --git a/_quantize_onnx_dequantize_linear_pass_8cpp_source.html b/_quantize_onnx_dequantize_linear_pass_8cpp_source.html index 8c6e3b3a170..adb4b99ebb1 100644 --- a/_quantize_onnx_dequantize_linear_pass_8cpp_source.html +++ b/_quantize_onnx_dequantize_linear_pass_8cpp_source.html @@ -232,386 +232,237 @@
133 luci::CircleConst *zerop = nullptr;
134};
135
-
136// Temporary class for our in-house model
-
137// This is for per-tensor quantized LN const
-
138// uint8 weight, int16 zerop, fp32 scale
-
139// NOTE weight dtype != zerop dtype breaks invariant of
-
140// onnx DequantizeLinear. That's why this class is a hack.
-
141class OnnxDequantizeLinearPatternV2 final
-
142{
-
143public:
-
144 OnnxDequantizeLinearPatternV2(luci::CircleCustomOut *candidate) { custom_out = candidate; }
-
145
-
146public:
-
147 bool matched()
-
148 {
-
149 if (not custom_out)
-
150 return false;
-
151
-
152 dequantize = loco::must_cast<luci::CircleCustom *>(custom_out->input());
-
153 if (not is_onnx_dequantize_linear(dequantize))
-
154 return false;
-
155
-
156 input = dynamic_cast<luci::CircleConst *>(dequantize->inputs(0));
-
157 if (not input)
-
158 return false;
-
159
-
160 scale = dynamic_cast<luci::CircleConst *>(dequantize->inputs(1));
-
161 if (not scale)
-
162 return false;
-
163
-
164 zerop = dynamic_cast<luci::CircleConst *>(dequantize->inputs(2));
-
165 if (not zerop)
-
166 return false;
-
167
-
168 const auto input_dtype = input->dtype();
-
169 const auto scale_dtype = scale->dtype();
-
170 const auto zerop_dtype = zerop->dtype();
-
171
-
172 if (scale_dtype != loco::DataType::FLOAT32)
-
173 return false;
-
174
-
175 if (input_dtype != loco::DataType::U8)
-
176 return false;
-
177
-
178 if (zerop_dtype != loco::DataType::S16)
-
179 return false;
+
136class QuantizeOnnxDequantizeLinear final
+
137{
+
138public:
+
139 QuantizeOnnxDequantizeLinear(const OnnxDequantizeLinearPattern &p) : _p(p) {}
+
140
+
141public:
+
142 void apply(void)
+
143 {
+
144 // The final const's dtype is the same with input_dtype by default
+
145 auto const_dtype = _p.input->dtype();
+
146 if (const_dtype == loco::DataType::U8)
+
147 {
+
148 // Onnx does not support int4/uint4 as of writing. We assume uint8
+
149 // tensor is quantized in int4/uint4 if values are within [0,15]
+
150 if (value_range<loco::DataType::U8>(_p.input, {0, 15}))
+
151 {
+
152 if (value_range<loco::DataType::U8>(_p.zerop, {8, 8}))
+
153 {
+
154 const_dtype = loco::DataType::S4;
+
155 }
+
156 else if (value_range<loco::DataType::U8>(_p.zerop, {0, 15}))
+
157 {
+
158 const_dtype = loco::DataType::U4;
+
159 }
+
160 }
+
161 }
+
162
+ +
164 switch (const_dtype)
+
165 {
+
166 case loco::DataType::S4:
+
167 quant_const = gen_s4_quant();
+
168 break;
+
169 case loco::DataType::U4:
+
170 quant_const = gen_u4_quant();
+
171 break;
+
172 case loco::DataType::U8:
+
173 quant_const = gen_u8_quant();
+
174 break;
+
175 default:
+
176 throw std::runtime_error("Unsupported quantized dtype");
+
177 }
+
178
+
179 assert(quant_const); // FIX_ME_UNLESS
180
-
181 return true;
-
182 }
-
183
-
184public:
-
185 luci::CircleCustomOut *custom_out = nullptr;
- -
187 luci::CircleConst *input = nullptr;
-
188 luci::CircleConst *scale = nullptr;
-
189 luci::CircleConst *zerop = nullptr;
-
190};
-
191
-
192class QuantizeOnnxDequantizeLinear final
-
193{
-
194public:
-
195 QuantizeOnnxDequantizeLinear(const OnnxDequantizeLinearPattern &p) : _p(p) {}
-
196
-
197public:
-
198 void apply(void)
-
199 {
-
200 // The final const's dtype is the same with input_dtype by default
-
201 auto const_dtype = _p.input->dtype();
-
202 if (const_dtype == loco::DataType::U8)
-
203 {
-
204 // Onnx does not support int4/uint4 as of writing. We assume uint8
-
205 // tensor is quantized in int4/uint4 if values are within [0,15]
-
206 if (value_range<loco::DataType::U8>(_p.input, {0, 15}))
-
207 {
-
208 if (value_range<loco::DataType::U8>(_p.zerop, {8, 8}))
-
209 {
-
210 const_dtype = loco::DataType::S4;
-
211 }
-
212 else if (value_range<loco::DataType::U8>(_p.zerop, {0, 15}))
-
213 {
-
214 const_dtype = loco::DataType::U4;
-
215 }
-
216 }
-
217 }
-
218
- -
220 switch (const_dtype)
-
221 {
-
222 case loco::DataType::S4:
-
223 quant_const = gen_s4_quant();
-
224 break;
-
225 case loco::DataType::U4:
-
226 quant_const = gen_u4_quant();
-
227 break;
-
228 case loco::DataType::U8:
-
229 quant_const = gen_u8_quant();
-
230 break;
-
231 default:
-
232 throw std::runtime_error("Unsupported quantized dtype");
-
233 }
+
181 // set origin
+
182 std::vector<std::shared_ptr<luci::CircleNodeOrigin>> origin_vec{
+
183 luci::get_origin(_p.dequantize), luci::get_origin(_p.input), luci::get_origin(_p.scale),
+
184 luci::get_origin(_p.zerop)};
+
185
+
186 luci::add_origin(quant_const, luci::composite_origin(origin_vec));
+
187
+
188 replace(_p.custom_out).with(quant_const);
+
189 }
+
190
+
191private:
+
192 luci::CircleConst *gen_s4_quant(void)
+
193 {
+
194 assert(_p.input->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
+
195 assert(_p.scale->dtype() == loco::DataType::FLOAT32); // FIX_CALLER_UNLESS
+
196 assert(_p.zerop->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
+
197
+
198 auto quantized_node = _p.dequantize->graph()->nodes()->create<luci::CircleConst>();
+
199 quantized_node->dtype(loco::DataType::S4);
+
200 quantized_node->rank(_p.input->rank());
+
201 for (uint32_t i = 0; i < _p.input->rank(); ++i)
+
202 {
+
203 quantized_node->dim(i) = _p.input->dim(i);
+
204 }
+
205 quantized_node->shape_status(luci::ShapeStatus::VALID);
+
206
+
207 // Create S4 CircleConst
+
208 // NOTE S4 is saved as S8 in luci::CircleConst
+
209 const auto num_elems = _p.input->size<loco::DataType::U8>();
+
210 quantized_node->size<loco::DataType::S4>(num_elems);
+
211 for (uint32_t i = 0; i < num_elems; i++)
+
212 {
+
213 const uint8_t u8_val = _p.input->at<loco::DataType::U8>(i);
+
214 assert(u8_val <= 15); // FIX_CALLER_UNLESS
+
215 quantized_node->at<loco::DataType::S4>(i) = static_cast<int8_t>(u8_val) - 8;
+
216 }
+
217
+
218 auto qparam = std::make_unique<luci::CircleQuantParam>();
+
219 {
+
220 const std::vector<float> scale_vector = get_scales(_p.scale);
+
221 const std::vector<int64_t> zerop_vector = get_zerops<loco::DataType::U8>(_p.zerop);
+
222
+
223 if (scale_vector.size() != zerop_vector.size())
+
224 throw std::runtime_error("Scale/Zerop size mismatches in " + _p.dequantize->name());
+
225
+
226 const int32_t qdim = get_axis(_p.dequantize);
+
227
+
228 qparam->scale = scale_vector;
+
229 qparam->zerop = zerop_vector;
+
230 qparam->quantized_dimension = qdim;
+
231 }
+
232
+
233 quantized_node->quantparam(std::move(qparam));
234
-
235 assert(quant_const); // FIX_ME_UNLESS
+
235 quantized_node->name(_p.input->name());
236
-
237 // set origin
-
238 std::vector<std::shared_ptr<luci::CircleNodeOrigin>> origin_vec{
-
239 luci::get_origin(_p.dequantize), luci::get_origin(_p.input), luci::get_origin(_p.scale),
-
240 luci::get_origin(_p.zerop)};
-
241
-
242 luci::add_origin(quant_const, luci::composite_origin(origin_vec));
-
243
-
244 replace(_p.custom_out).with(quant_const);
-
245 }
-
246
-
247private:
-
248 luci::CircleConst *gen_s4_quant(void)
-
249 {
-
250 assert(_p.input->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
-
251 assert(_p.scale->dtype() == loco::DataType::FLOAT32); // FIX_CALLER_UNLESS
-
252 assert(_p.zerop->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
-
253
-
254 auto quantized_node = _p.dequantize->graph()->nodes()->create<luci::CircleConst>();
-
255 quantized_node->dtype(loco::DataType::S4);
-
256 quantized_node->rank(_p.input->rank());
-
257 for (uint32_t i = 0; i < _p.input->rank(); ++i)
-
258 {
-
259 quantized_node->dim(i) = _p.input->dim(i);
-
260 }
-
261 quantized_node->shape_status(luci::ShapeStatus::VALID);
-
262
-
263 // Create S4 CircleConst
-
264 // NOTE S4 is saved as S8 in luci::CircleConst
-
265 const auto num_elems = _p.input->size<loco::DataType::U8>();
-
266 quantized_node->size<loco::DataType::S4>(num_elems);
-
267 for (uint32_t i = 0; i < num_elems; i++)
-
268 {
-
269 const uint8_t u8_val = _p.input->at<loco::DataType::U8>(i);
-
270 assert(u8_val <= 15); // FIX_CALLER_UNLESS
-
271 quantized_node->at<loco::DataType::S4>(i) = static_cast<int8_t>(u8_val) - 8;
-
272 }
+
237 return quantized_node;
+
238 }
+
239
+
240 luci::CircleConst *gen_u4_quant(void)
+
241 {
+
242 assert(_p.input->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
+
243 assert(_p.scale->dtype() == loco::DataType::FLOAT32); // FIX_CALLER_UNLESS
+
244 assert(_p.zerop->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
+
245
+
246 auto quantized_node = _p.dequantize->graph()->nodes()->create<luci::CircleConst>();
+
247 quantized_node->dtype(loco::DataType::U4);
+
248 quantized_node->rank(_p.input->rank());
+
249 for (uint32_t i = 0; i < _p.input->rank(); ++i)
+
250 {
+
251 quantized_node->dim(i) = _p.input->dim(i);
+
252 }
+
253 quantized_node->shape_status(luci::ShapeStatus::VALID);
+
254
+
255 // Create U4 CircleConst
+
256 // NOTE U4 is saved as U8 in luci::CircleConst
+
257 const auto num_elems = _p.input->size<loco::DataType::U8>();
+
258 quantized_node->size<loco::DataType::U4>(num_elems);
+
259 for (uint32_t i = 0; i < num_elems; i++)
+
260 {
+
261 const uint8_t u8_val = _p.input->at<loco::DataType::U8>(i);
+
262 assert(u8_val <= 15); // FIX_CALLER_UNLESS
+
263 quantized_node->at<loco::DataType::U4>(i) = u8_val;
+
264 }
+
265
+
266 auto qparam = std::make_unique<luci::CircleQuantParam>();
+
267 {
+
268 const std::vector<float> scale_vector = get_scales(_p.scale);
+
269 const std::vector<int64_t> zerop_vector = get_zerops<loco::DataType::U8>(_p.zerop);
+
270
+
271 if (scale_vector.size() != zerop_vector.size())
+
272 throw std::runtime_error("Scale/Zerop size mismatches in " + _p.dequantize->name());
273
-
274 auto qparam = std::make_unique<luci::CircleQuantParam>();
-
275 {
-
276 const std::vector<float> scale_vector = get_scales(_p.scale);
-
277 const std::vector<int64_t> zerop_vector = get_zerops<loco::DataType::U8>(_p.zerop);
-
278
-
279 if (scale_vector.size() != zerop_vector.size())
-
280 throw std::runtime_error("Scale/Zerop size mismatches in " + _p.dequantize->name());
-
281
-
282 const int32_t qdim = get_axis(_p.dequantize);
-
283
-
284 qparam->scale = scale_vector;
-
285 qparam->zerop = zerop_vector;
-
286 qparam->quantized_dimension = qdim;
-
287 }
-
288
-
289 quantized_node->quantparam(std::move(qparam));
-
290
-
291 quantized_node->name(_p.input->name());
-
292
-
293 return quantized_node;
-
294 }
-
295
-
296 luci::CircleConst *gen_u4_quant(void)
-
297 {
-
298 assert(_p.input->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
-
299 assert(_p.scale->dtype() == loco::DataType::FLOAT32); // FIX_CALLER_UNLESS
-
300 assert(_p.zerop->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
-
301
-
302 auto quantized_node = _p.dequantize->graph()->nodes()->create<luci::CircleConst>();
-
303 quantized_node->dtype(loco::DataType::U4);
-
304 quantized_node->rank(_p.input->rank());
-
305 for (uint32_t i = 0; i < _p.input->rank(); ++i)
-
306 {
-
307 quantized_node->dim(i) = _p.input->dim(i);
-
308 }
-
309 quantized_node->shape_status(luci::ShapeStatus::VALID);
-
310
-
311 // Create U4 CircleConst
-
312 // NOTE U4 is saved as U8 in luci::CircleConst
-
313 const auto num_elems = _p.input->size<loco::DataType::U8>();
-
314 quantized_node->size<loco::DataType::U4>(num_elems);
-
315 for (uint32_t i = 0; i < num_elems; i++)
-
316 {
-
317 const uint8_t u8_val = _p.input->at<loco::DataType::U8>(i);
-
318 assert(u8_val <= 15); // FIX_CALLER_UNLESS
-
319 quantized_node->at<loco::DataType::U4>(i) = u8_val;
-
320 }
+
274 const int32_t qdim = get_axis(_p.dequantize);
+
275
+
276 qparam->scale = scale_vector;
+
277 qparam->zerop = zerop_vector;
+
278 qparam->quantized_dimension = qdim;
+
279 }
+
280
+
281 quantized_node->quantparam(std::move(qparam));
+
282
+
283 quantized_node->name(_p.input->name());
+
284
+
285 return quantized_node;
+
286 }
+
287
+
288 luci::CircleConst *gen_u8_quant(void)
+
289 {
+
290 assert(_p.input->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
+
291 assert(_p.scale->dtype() == loco::DataType::FLOAT32); // FIX_CALLER_UNLESS
+
292 assert(_p.zerop->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
+
293
+
294 auto quantized_node = _p.dequantize->graph()->nodes()->create<luci::CircleConst>();
+
295 quantized_node->dtype(loco::DataType::U8);
+
296 quantized_node->rank(_p.input->rank());
+
297 for (uint32_t i = 0; i < _p.input->rank(); ++i)
+
298 {
+
299 quantized_node->dim(i) = _p.input->dim(i);
+
300 }
+
301 quantized_node->shape_status(luci::ShapeStatus::VALID);
+
302
+
303 // Create U8 CircleConst
+
304 const auto num_elems = _p.input->size<loco::DataType::U8>();
+
305 quantized_node->size<loco::DataType::U8>(num_elems);
+
306 for (uint32_t i = 0; i < num_elems; i++)
+
307 {
+
308 const uint8_t u8_val = _p.input->at<loco::DataType::U8>(i);
+
309 quantized_node->at<loco::DataType::U8>(i) = u8_val;
+
310 }
+
311
+
312 auto qparam = std::make_unique<luci::CircleQuantParam>();
+
313 {
+
314 const std::vector<float> scale_vector = get_scales(_p.scale);
+
315 const std::vector<int64_t> zerop_vector = get_zerops<loco::DataType::U8>(_p.zerop);
+
316
+
317 if (scale_vector.size() != zerop_vector.size())
+
318 throw std::runtime_error("Scale/Zerop size mismatches in " + _p.dequantize->name());
+
319
+
320 const int32_t qdim = get_axis(_p.dequantize);
321
-
322 auto qparam = std::make_unique<luci::CircleQuantParam>();
-
323 {
-
324 const std::vector<float> scale_vector = get_scales(_p.scale);
-
325 const std::vector<int64_t> zerop_vector = get_zerops<loco::DataType::U8>(_p.zerop);
+
322 qparam->scale = scale_vector;
+
323 qparam->zerop = zerop_vector;
+
324 qparam->quantized_dimension = qdim;
+
325 }
326
-
327 if (scale_vector.size() != zerop_vector.size())
-
328 throw std::runtime_error("Scale/Zerop size mismatches in " + _p.dequantize->name());
-
329
-
330 const int32_t qdim = get_axis(_p.dequantize);
-
331
-
332 qparam->scale = scale_vector;
-
333 qparam->zerop = zerop_vector;
-
334 qparam->quantized_dimension = qdim;
-
335 }
-
336
-
337 quantized_node->quantparam(std::move(qparam));
-
338
-
339 quantized_node->name(_p.input->name());
-
340
-
341 return quantized_node;
-
342 }
-
343
-
344 luci::CircleConst *gen_u8_quant(void)
-
345 {
-
346 assert(_p.input->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
-
347 assert(_p.scale->dtype() == loco::DataType::FLOAT32); // FIX_CALLER_UNLESS
-
348 assert(_p.zerop->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
-
349
-
350 auto quantized_node = _p.dequantize->graph()->nodes()->create<luci::CircleConst>();
-
351 quantized_node->dtype(loco::DataType::U8);
-
352 quantized_node->rank(_p.input->rank());
-
353 for (uint32_t i = 0; i < _p.input->rank(); ++i)
-
354 {
-
355 quantized_node->dim(i) = _p.input->dim(i);
-
356 }
-
357 quantized_node->shape_status(luci::ShapeStatus::VALID);
-
358
-
359 // Create U8 CircleConst
-
360 const auto num_elems = _p.input->size<loco::DataType::U8>();
-
361 quantized_node->size<loco::DataType::U8>(num_elems);
-
362 for (uint32_t i = 0; i < num_elems; i++)
-
363 {
-
364 const uint8_t u8_val = _p.input->at<loco::DataType::U8>(i);
-
365 quantized_node->at<loco::DataType::U8>(i) = u8_val;
-
366 }
-
367
-
368 auto qparam = std::make_unique<luci::CircleQuantParam>();
-
369 {
-
370 const std::vector<float> scale_vector = get_scales(_p.scale);
-
371 const std::vector<int64_t> zerop_vector = get_zerops<loco::DataType::U8>(_p.zerop);
-
372
-
373 if (scale_vector.size() != zerop_vector.size())
-
374 throw std::runtime_error("Scale/Zerop size mismatches in " + _p.dequantize->name());
-
375
-
376 const int32_t qdim = get_axis(_p.dequantize);
-
377
-
378 qparam->scale = scale_vector;
-
379 qparam->zerop = zerop_vector;
-
380 qparam->quantized_dimension = qdim;
-
381 }
-
382
-
383 quantized_node->quantparam(std::move(qparam));
-
384
-
385 quantized_node->name(_p.input->name());
-
386
-
387 return quantized_node;
-
388 }
-
389
-
390private:
-
391 const OnnxDequantizeLinearPattern &_p;
-
392};
-
393
-
394// Temporary class to handle our in-house model
-
395class QuantizeOnnxDequantizeLinearV2 final
-
396{
-
397public:
-
398 QuantizeOnnxDequantizeLinearV2(const OnnxDequantizeLinearPatternV2 &p) : _p(p) {}
-
399
-
400public:
-
401 void apply(void)
-
402 {
-
403 auto const_dtype = _p.zerop->dtype();
-
404
- -
406 switch (const_dtype)
-
407 {
-
408 case loco::DataType::S16:
-
409 quant_const = gen_s16_quant();
-
410 break;
-
411 default:
-
412 throw std::runtime_error("Unsupported quantized dtype");
-
413 }
-
414
-
415 assert(quant_const); // FIX_ME_UNLESS
-
416
-
417 // set origin
-
418 std::vector<std::shared_ptr<luci::CircleNodeOrigin>> origin_vec{
-
419 luci::get_origin(_p.dequantize), luci::get_origin(_p.input), luci::get_origin(_p.scale),
-
420 luci::get_origin(_p.zerop)};
-
421
-
422 luci::add_origin(quant_const, luci::composite_origin(origin_vec));
-
423
-
424 replace(_p.custom_out).with(quant_const);
-
425 }
-
426
-
427private:
-
428 luci::CircleConst *gen_s16_quant(void)
-
429 {
-
430 assert(_p.input->dtype() == loco::DataType::U8); // FIX_CALLER_UNLESS
-
431 assert(_p.scale->dtype() == loco::DataType::FLOAT32); // FIX_CALLER_UNLESS
-
432 assert(_p.zerop->dtype() == loco::DataType::S16); // FIX_CALLER_UNLESS
-
433
-
434 auto quantized_node = _p.dequantize->graph()->nodes()->create<luci::CircleConst>();
-
435 quantized_node->dtype(loco::DataType::S16);
-
436 quantized_node->rank(_p.input->rank());
-
437 for (uint32_t i = 0; i < _p.input->rank(); ++i)
-
438 {
-
439 quantized_node->dim(i) = _p.input->dim(i);
-
440 }
-
441 quantized_node->shape_status(luci::ShapeStatus::VALID);
-
442
-
443 // Create S16 CircleConst
-
444 const auto num_elems = _p.input->size<loco::DataType::U8>();
-
445 quantized_node->size<loco::DataType::S16>(num_elems);
-
446 for (uint32_t i = 0; i < num_elems; i++)
-
447 {
-
448 const uint8_t u8_val = _p.input->at<loco::DataType::U8>(i);
-
449 quantized_node->at<loco::DataType::S16>(i) = static_cast<int16_t>(u8_val);
-
450 }
-
451
-
452 auto qparam = std::make_unique<luci::CircleQuantParam>();
-
453 {
-
454 const std::vector<float> scale_vector = get_scales(_p.scale);
-
455 const std::vector<int64_t> zerop_vector = get_zerops<loco::DataType::S16>(_p.zerop);
-
456
-
457 if (scale_vector.size() != zerop_vector.size())
-
458 throw std::runtime_error("Scale/Zerop size mismatches in " + _p.dequantize->name());
-
459
-
460 const int32_t qdim = get_axis(_p.dequantize);
-
461
-
462 qparam->scale = scale_vector;
-
463 qparam->zerop = zerop_vector;
-
464 qparam->quantized_dimension = qdim;
-
465 }
-
466
-
467 quantized_node->quantparam(std::move(qparam));
-
468
-
469 quantized_node->name(_p.input->name());
-
470
-
471 return quantized_node;
-
472 }
-
473
-
474private:
-
475 const OnnxDequantizeLinearPatternV2 &_p;
-
476};
-
477
-
478} // namespace
-
479
-
480namespace luci
-
481{
-
482
-
- -
502{
-
503 bool changed = false;
-
504
-
505 for (auto node : loco::active_nodes(loco::output_nodes(g)))
-
506 {
-
507 if (auto circle_custom_out = dynamic_cast<luci::CircleCustomOut *>(node))
-
508 {
-
509 OnnxDequantizeLinearPattern p(circle_custom_out);
-
510 if (p.matched())
-
511 {
-
512 QuantizeOnnxDequantizeLinear quantize(p);
-
513 quantize.apply();
-
514 changed = true;
-
515 }
-
516
-
517 // TODO Remove V2 classes
-
518 OnnxDequantizeLinearPatternV2 p2(circle_custom_out);
-
519 if (p2.matched())
-
520 {
-
521 QuantizeOnnxDequantizeLinearV2 quantize(p2);
-
522 quantize.apply();
-
523 changed = true;
-
524 }
-
525 }
-
526 }
-
527
-
528 return changed;
-
529}
+
327 quantized_node->quantparam(std::move(qparam));
+
328
+
329 quantized_node->name(_p.input->name());
+
330
+
331 return quantized_node;
+
332 }
+
333
+
334private:
+
335 const OnnxDequantizeLinearPattern &_p;
+
336};
+
337
+
338} // namespace
+
339
+
340namespace luci
+
341{
+
342
+
+ +
362{
+
363 bool changed = false;
+
364
+
365 for (auto node : loco::active_nodes(loco::output_nodes(g)))
+
366 {
+
367 if (auto circle_custom_out = dynamic_cast<luci::CircleCustomOut *>(node))
+
368 {
+
369 OnnxDequantizeLinearPattern p(circle_custom_out);
+
370 if (p.matched())
+
371 {
+
372 QuantizeOnnxDequantizeLinear quantize(p);
+
373 quantize.apply();
+
374 changed = true;
+
375 }
+
376 }
+
377 }
+
378
+
379 return changed;
+
380}
-
530
-
531} // namespace luci
+
381
+
382} // namespace luci
@@ -643,7 +494,7 @@
uint64_t num_elems(const nnfw_tensorinfo *tensor_info)
Get the total number of elements in nnfw_tensorinfo->dims.
int32_t size[5]
Definition Slice.cpp:35
ShapeStatus shape_status(void) const
- +
diff --git a/_quantize_onnx_dequantize_linear_pass_8h_source.html b/_quantize_onnx_dequantize_linear_pass_8h_source.html index 0cd250b5cec..b3b8706eeee 100644 --- a/_quantize_onnx_dequantize_linear_pass_8h_source.html +++ b/_quantize_onnx_dequantize_linear_pass_8h_source.html @@ -139,7 +139,7 @@
Class to quantize ONNXDequantizeLinear operator.
- +
diff --git a/_quantize_onnx_fake_quant_model_pass_8cpp_source.html b/_quantize_onnx_fake_quant_model_pass_8cpp_source.html index b7361c1ee8a..020a659f726 100644 --- a/_quantize_onnx_fake_quant_model_pass_8cpp_source.html +++ b/_quantize_onnx_fake_quant_model_pass_8cpp_source.html @@ -208,7 +208,7 @@
Class to quantize ONNXDequantizeLinear operator.
- +
Class to quantize ONNX QuantizeLinear-DequantizeLinear operator.
bool run(loco::Graph *g) final
Quantize non-const activaion using pre-defined scale/zp for special Ops.
diff --git a/_requantize_pass_8cpp.html b/_requantize_pass_8cpp.html index 566ec589e90..4d47c0ec347 100644 --- a/_requantize_pass_8cpp.html +++ b/_requantize_pass_8cpp.html @@ -195,30 +195,51 @@

144 return false;
145 }
146
-
147 // Update output dtype
-
-
149 for (auto node : loco::output_nodes(g))
-
150 {
-
151 auto circle_node = loco::must_cast<luci::CircleOutput *>(node);
-
152 auto from_node = loco::must_cast<luci::CircleNode *>(circle_node->from());
-
153 if (from_node->dtype() == _output_dtype)
-
154 {
-
155 circle_node->dtype(_output_dtype);
-
156 auto graph_output = graph_outputs->at(circle_node->index());
-
157 graph_output->dtype(_output_dtype);
-
158 }
-
159 }
-
160
-
161 INFO(l) << "RequantizePass End" << std::endl;
-
162 return false; // one time run
-
163}
-
164
-
165} // namespace luci
+
147 // Fix wrong quantized_dimension
+
148 for (auto node : loco::active_nodes(loco::output_nodes(g)))
+
149 {
+
150 auto circle_node = loco::must_cast<luci::CircleNode *>(node);
+
151
+
152 auto qparam = circle_node->quantparam();
+
153 if (not qparam)
+
154 continue;
+
155
+
156 if (circle_node->rank() != 1)
+
157 continue;
+
158
+
159 if (qparam->quantized_dimension == 0)
+
160 continue;
+
161
+
162 // For rank 1 node, quantized_dimension should be 0
+
163 qparam->quantized_dimension = 0;
+
164 WARN(l) << "Wrong quantized_dimension is fixed (" << circle_node->name() << ")" << std::endl;
+
165 }
+
166
+
167 // Update output dtype
+
168 auto graph_outputs = g->outputs();
+
169 for (auto node : loco::output_nodes(g))
+
170 {
+
171 auto circle_node = loco::must_cast<luci::CircleOutput *>(node);
+
172 auto from_node = loco::must_cast<luci::CircleNode *>(circle_node->from());
+
173 if (from_node->dtype() == _output_dtype)
+
174 {
+
175 circle_node->dtype(_output_dtype);
+
176 auto graph_output = graph_outputs->at(circle_node->index());
+
177 graph_output->dtype(_output_dtype);
+
178 }
+
179 }
+
180
+
181 INFO(l) << "RequantizePass End" << std::endl;
+
182 return false; // one time run
+
183}
+
184
+
185} // namespace luci
#define RETURN_UNLESS(cond)
#define LOGGER(name)
Definition Log.h:65
#define INFO(name)
Definition Log.h:68
A neural network graph.
Definition Graph.h:161
Class to build tensor data.
Definition CircleConst.h:35
+
#define WARN(name)
Definition Log.h:70
std::set< loco::Node * > active_nodes(const std::vector< loco::Node * > &roots)
Enumerate all the nodes required to compute "roots".
diff --git a/_requantize_pass_8cpp_source.html b/_requantize_pass_8cpp_source.html index 359231e0308..95c539255b3 100644 --- a/_requantize_pass_8cpp_source.html +++ b/_requantize_pass_8cpp_source.html @@ -244,27 +244,47 @@
145 return false;
146 }
147
-
148 // Update output dtype
-
149 auto graph_outputs = g->outputs();
-
150 for (auto node : loco::output_nodes(g))
-
151 {
-
152 auto circle_node = loco::must_cast<luci::CircleOutput *>(node);
-
153 auto from_node = loco::must_cast<luci::CircleNode *>(circle_node->from());
-
154 if (from_node->dtype() == _output_dtype)
-
155 {
-
156 circle_node->dtype(_output_dtype);
-
157 auto graph_output = graph_outputs->at(circle_node->index());
-
158 graph_output->dtype(_output_dtype);
-
159 }
-
160 }
-
161
-
162 INFO(l) << "RequantizePass End" << std::endl;
-
163 return false; // one time run
-
164}
+
148 // Fix wrong quantized_dimension
+
149 for (auto node : loco::active_nodes(loco::output_nodes(g)))
+
150 {
+
151 auto circle_node = loco::must_cast<luci::CircleNode *>(node);
+
152
+
153 auto qparam = circle_node->quantparam();
+
154 if (not qparam)
+
155 continue;
+
156
+
157 if (circle_node->rank() != 1)
+
158 continue;
+
159
+
160 if (qparam->quantized_dimension == 0)
+
161 continue;
+
162
+
163 // For rank 1 node, quantized_dimension should be 0
+
164 qparam->quantized_dimension = 0;
+
165 WARN(l) << "Wrong quantized_dimension is fixed (" << circle_node->name() << ")" << std::endl;
+
166 }
+
167
+
168 // Update output dtype
+
169 auto graph_outputs = g->outputs();
+
170 for (auto node : loco::output_nodes(g))
+
171 {
+
172 auto circle_node = loco::must_cast<luci::CircleOutput *>(node);
+
173 auto from_node = loco::must_cast<luci::CircleNode *>(circle_node->from());
+
174 if (from_node->dtype() == _output_dtype)
+
175 {
+
176 circle_node->dtype(_output_dtype);
+
177 auto graph_output = graph_outputs->at(circle_node->index());
+
178 graph_output->dtype(_output_dtype);
+
179 }
+
180 }
+
181
+
182 INFO(l) << "RequantizePass End" << std::endl;
+
183 return false; // one time run
+
184}
-
165
-
166} // namespace luci
-
#define RETURN_UNLESS(COND)
+
185
+
186} // namespace luci
+
#define RETURN_UNLESS(COND)
@@ -276,6 +296,7 @@ +
#define WARN(name)
Definition Log.h:70
const T * data(const std::vector< T, Alloc > &v)
std::set< loco::Node * > active_nodes(const std::vector< loco::Node * > &roots)
Enumerate all the nodes required to compute "roots".
std::vector< Node * > output_nodes(Graph *)
Definition Graph.cpp:101
diff --git a/_safe_main_8cpp_source.html b/_safe_main_8cpp_source.html index 9100574231b..a355d67652c 100644 --- a/_safe_main_8cpp_source.html +++ b/_safe_main_8cpp_source.html @@ -119,7 +119,7 @@
20int entry(int argc, char **argv);
21
22#ifdef NDEBUG
-
23int main(int argc, char **argv)
+
23int main(int argc, char **argv)
24{
25 try
26 {
@@ -134,7 +134,7 @@
35}
36#else // NDEBUG
-
37int main(int argc, char **argv)
+
37int main(int argc, char **argv)
38{
39 // NOTE main does not catch internal exceptions for debug build to make it easy to
40 // check the stacktrace with a debugger
@@ -143,7 +143,7 @@
43#endif // !NDEBUG
int entry(int argc, char **argv)
Dump IR for given arguments.
Definition Driver.cpp:53
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
diff --git a/_shape_inference_rule_8h_source.html b/_shape_inference_rule_8h_source.html index 45f39532e77..ac81c720aa0 100644 --- a/_shape_inference_rule_8h_source.html +++ b/_shape_inference_rule_8h_source.html @@ -177,7 +177,7 @@
90
91 // WARNING! Invoke this method only when API v2 is supported
-
92 virtual void infer(const Context *, const Node *, Sink *) const;
+
92 virtual void infer(const Context *, const Node *, Sink *) const;
93};
94
@@ -192,7 +192,7 @@ -
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
virtual bool known(const Node *node) const =0
diff --git a/_spatial_8h.html b/_spatial_8h.html index 172e7862c7f..cb106ac0c59 100644 --- a/_spatial_8h.html +++ b/_spatial_8h.html @@ -161,7 +161,7 @@

26 return (imageSize - filterSize + stride + paddingHead + paddingTail) / stride;
27}
-

Referenced by convPrepare(), depthwiseConvPrepare(), and genericPoolingPrepare().

+

Referenced by convPrepare(), depthwiseConvPrepare(), and genericPoolingPrepare().

diff --git a/_string_utils_8cpp_source.html b/_string_utils_8cpp_source.html index f0c5898d7f5..b64d1a85fc5 100644 --- a/_string_utils_8cpp_source.html +++ b/_string_utils_8cpp_source.html @@ -173,7 +173,7 @@
const std::string toString(luci::CircleOpcode opcode)
- + diff --git a/_string_utils_8h.html b/_string_utils_8h.html index 25347f3bf56..8a1a1c12f76 100644 --- a/_string_utils_8h.html +++ b/_string_utils_8h.html @@ -95,7 +95,7 @@
StringUtils.h File Reference
-
#include <luci/IR/CircleOpcode.h>
+
#include <luci/IR/CircleOpcode.h>
#include <luci/IR/AttrFusedActFunc.h>
#include <string>
diff --git a/_string_utils_8h_source.html b/_string_utils_8h_source.html index dee3308f57b..91a4f348b30 100644 --- a/_string_utils_8h_source.html +++ b/_string_utils_8h_source.html @@ -116,7 +116,7 @@
17#ifndef __DALGONA_STRING_UTILS_H__
18#define __DALGONA_STRING_UTILS_H__
19
- +
22
23#include <string>
@@ -132,10 +132,10 @@
33
34#endif // __DALGONA_STRING_UTILS_H__
- +
const std::string toString(luci::CircleOpcode opcode)
- +
diff --git a/_subnet_8cpp_source.html b/_subnet_8cpp_source.html index 89e95430fcb..cea2ac1c6d3 100644 --- a/_subnet_8cpp_source.html +++ b/_subnet_8cpp_source.html @@ -545,7 +545,7 @@
Definition Bundle.h:26
void concat(std::ostream &os, const std::string &sep, It beg, It end)
Definition String.h:31
-
Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
Definition dims.cpp:24
+
Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
Definition dims.cpp:24
void Reverse(int axis, const Shape &input_shape, const Scalar *input_data, const Shape &, Scalar *output_data)
Definition Reverse.h:31
diff --git a/_t_f_l_shape_inference_rule_8h_source.html b/_t_f_l_shape_inference_rule_8h_source.html index 4cdf2e88fb3..2220a2786ed 100644 --- a/_t_f_l_shape_inference_rule_8h_source.html +++ b/_t_f_l_shape_inference_rule_8h_source.html @@ -125,7 +125,7 @@
26{
27 bool recognize(const loco::Dialect *) const final;
-
28 bool infer(const loco::Node *, loco::NodeShape &) const final;
+
28 bool infer(const loco::Node *, loco::NodeShape &) const final;
29};
30
@@ -137,7 +137,7 @@ -
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
bool recognize(const loco::Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_t_f_l_type_inference_rule_8h_source.html b/_t_f_l_type_inference_rule_8h_source.html index f5fef7f49e6..b3e1145c8f6 100644 --- a/_t_f_l_type_inference_rule_8h_source.html +++ b/_t_f_l_type_inference_rule_8h_source.html @@ -126,7 +126,7 @@
29{
30 bool recognize(const loco::Dialect *) const final;
31
-
32 bool infer(const loco::Node *, loco::DataType &) const final;
+
32 bool infer(const loco::Node *, loco::DataType &) const final;
33};
34
@@ -138,7 +138,7 @@
Logical unit of computation.
Definition Node.h:54
DataType
"scalar" value type
Definition DataType.h:27
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
Type Inference Rule for TFLDialect.
bool recognize(const loco::Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_t_f_shape_inference_helper_8h_source.html b/_t_f_shape_inference_helper_8h_source.html index 13e0d1a8df0..9d1cd1a0fbb 100644 --- a/_t_f_shape_inference_helper_8h_source.html +++ b/_t_f_shape_inference_helper_8h_source.html @@ -261,7 +261,7 @@
160
161 fill(p, in);
162
-
163 return infer(p, in);
+
163 return infer(p, in);
164 }
165
@@ -288,7 +288,7 @@
183
184 fill(p, in);
185
-
186 auto output = infer(p, in);
+
186 auto output = infer(p, in);
187
188 int64_t i_height = (int64_t)(output.height.value() - 1) * (int64_t)p.stride.height.value() +
189 (int64_t)p.effective_window.height.value() - (int64_t)p.input.height.value();
@@ -378,7 +378,7 @@
loco::FeatureShape as_feature_shape(const loco::NodeShape &nodeshape, const TFDataLayout &data_layout)
FeatureShapeUpdater update(loco::FeatureShape &feature_shape)
PlaneShape make_plane_shape(const loco::FeatureShape &feature_shape)
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
diff --git a/_t_f_shape_inference_rule_8cpp_source.html b/_t_f_shape_inference_rule_8cpp_source.html index 21407d240e5..53b594af718 100644 --- a/_t_f_shape_inference_rule_8cpp_source.html +++ b/_t_f_shape_inference_rule_8cpp_source.html @@ -963,7 +963,7 @@
859 ::compat::Context ctx;
860 ::compat::Sink sink;
861
-
862 infer(&ctx, node, &sink);
+
862 infer(&ctx, node, &sink);
863
864 assert(sink.status() == ::compat::Sink::Okay or sink.status() == ::compat::Sink::Fail);
865
@@ -1077,7 +1077,7 @@
loco::FeatureShape as_feature_shape(const loco::NodeShape &nodeshape, const TFDataLayout &data_layout)
FeatureShapeUpdater update(loco::FeatureShape &feature_shape)
PlaneShape make_plane_shape(const loco::FeatureShape &feature_shape)
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
int32_t size[5]
Definition Slice.cpp:35
int32_t begin[5]
Definition Slice.cpp:33
diff --git a/_t_f_shape_inference_rule_8h_source.html b/_t_f_shape_inference_rule_8h_source.html index 2a653a9de59..5adbea564e5 100644 --- a/_t_f_shape_inference_rule_8h_source.html +++ b/_t_f_shape_inference_rule_8h_source.html @@ -126,8 +126,8 @@
29{
30 bool support(const API &ver) const final;
31 bool recognize(const loco::Dialect *) const final;
-
32 bool infer(const loco::Node *, loco::NodeShape &) const final;
-
33 void infer(const Context *, const loco::Node *, Sink *) const final;
+
32 bool infer(const loco::Node *, loco::NodeShape &) const final;
+
33 void infer(const Context *, const loco::Node *, Sink *) const final;
34};
35
@@ -139,7 +139,7 @@
Logical unit of computation.
Definition Node.h:54
Definition Log.h:23
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
diff --git a/_t_f_type_inference_rule_8h_source.html b/_t_f_type_inference_rule_8h_source.html index 135efcb3425..86b7b294c02 100644 --- a/_t_f_type_inference_rule_8h_source.html +++ b/_t_f_type_inference_rule_8h_source.html @@ -125,7 +125,7 @@
29{
30 bool recognize(const loco::Dialect *) const final;
-
31 bool infer(const loco::Node *, loco::DataType &) const final;
+
31 bool infer(const loco::Node *, loco::DataType &) const final;
32};
33
@@ -137,7 +137,7 @@
Logical unit of computation.
Definition Node.h:54
DataType
"scalar" value type
Definition DataType.h:27
Definition Log.h:23
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
Type Inference Rule for TFDialect.
bool recognize(const loco::Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/_test_data_softmax_base_8h.html b/_test_data_softmax_base_8h.html new file mode 100644 index 00000000000..ec0d5feca67 --- /dev/null +++ b/_test_data_softmax_base_8h.html @@ -0,0 +1,124 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/include/test_models/softmax/TestDataSoftmaxBase.h File Reference + + + + + + + + + + + + + +
+
+ + + + + + +
+
ONE - On-device Neural Engine +
+
+
+ + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+
+
+
+
+
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+
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+
+
+
+
+ +
+ +
TestDataSoftmaxBase.h File Reference
+
+
+
#include "test_models/TestDataBase.h"
+
+

Go to the source code of this file.

+ + + + +

+Data Structures

class  onert_micro::test_model::TestDataSoftmaxBase< T >
 
+ + + + + +

+Namespaces

namespace  onert_micro
 
namespace  onert_micro::test_model
 
+
+
+ + + + diff --git a/_test_data_softmax_base_8h.js b/_test_data_softmax_base_8h.js new file mode 100644 index 00000000000..05f606d3f9f --- /dev/null +++ b/_test_data_softmax_base_8h.js @@ -0,0 +1,4 @@ +var _test_data_softmax_base_8h = +[ + [ "onert_micro::test_model::TestDataSoftmaxBase< T >", "classonert__micro_1_1test__model_1_1_test_data_softmax_base.html", "classonert__micro_1_1test__model_1_1_test_data_softmax_base" ] +]; \ No newline at end of file diff --git a/_test_data_softmax_base_8h_source.html b/_test_data_softmax_base_8h_source.html new file mode 100644 index 00000000000..33461cac1ab --- /dev/null +++ b/_test_data_softmax_base_8h_source.html @@ -0,0 +1,186 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/include/test_models/softmax/TestDataSoftmaxBase.h Source File + + + + + + + + + + + + + +
+
+ + + + + + +
+
ONE - On-device Neural Engine +
+
+
+ + + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+
+
+
+
+
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+
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+
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+ +
+
TestDataSoftmaxBase.h
+
+
+Go to the documentation of this file.
1/*
+
2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+
3 *
+
4 * Licensed under the Apache License, Version 2.0 (the "License");
+
5 * you may not use this file except in compliance with the License.
+
6 * You may obtain a copy of the License at
+
7 *
+
8 * http://www.apache.org/licenses/LICENSE-2.0
+
9 *
+
10 * Unless required by applicable law or agreed to in writing, software
+
11 * distributed under the License is distributed on an "AS IS" BASIS,
+
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+
13 * See the License for the specific language governing permissions and
+
14 * limitations under the License.
+
15 */
+
16
+
17#ifndef ONERT_MICRO_TEST_MODELS_SOFTMAX_KERNEL_BASE_H
+
18#define ONERT_MICRO_TEST_MODELS_SOFTMAX_KERNEL_BASE_H
+
19
+
20#include "test_models/TestDataBase.h"
+
21
+
22namespace onert_micro
+
23{
+
24namespace test_model
+
25{
+
26
+
+
27template <typename T> class TestDataSoftmaxBase : public TestDataBase<T>
+
28{
+
29public:
+ +
31
+
32 const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }
+
33
+
+
34 const std::vector<T> &get_input_data_by_index(int i) override final
+
35 {
+
36 switch (i)
+
37 {
+
38 case 0:
+
39 return _input_data;
+
40 default:
+
41 assert(false && "Wrong input index");
+
42 }
+
43 }
+
+
44
+
+
45 const std::vector<T> &get_output_data_by_index(int i) override final
+
46 {
+
47 assert(i == 0);
+ +
49 }
+
+
50
+
51protected:
+
52 std::vector<T> _input_data;
+
53 std::vector<T> _reference_output_data;
+
54 const unsigned char *_test_kernel_model_circle;
+
55};
+
+
56
+
57} // namespace test_model
+
58} // namespace onert_micro
+
59
+
60#endif // ONERT_MICRO_TEST_MODELS_SOFTMAX_KERNEL_BASE_H
+ + + + +
const unsigned char * get_model_ptr() override final
+ +
const std::vector< T > & get_input_data_by_index(int i) override final
+ +
const std::vector< T > & get_output_data_by_index(int i) override final
+ +
+
+ + + + diff --git a/_training_driver_8cpp_source.html b/_training_driver_8cpp_source.html index 0a621c5a8ac..4daf1ed2392 100644 --- a/_training_driver_8cpp_source.html +++ b/_training_driver_8cpp_source.html @@ -319,7 +319,7 @@
218int entry(int argc, char **argv);
219
220#ifdef NDEBUG
-
221int main(int argc, char **argv)
+
221int main(int argc, char **argv)
222{
223 try
224 {
@@ -334,7 +334,7 @@
233}
234#else // NDEBUG
-
235int main(int argc, char **argv)
+
235int main(int argc, char **argv)
236{
237 // NOTE main does not catch internal exceptions for debug build to make it easy to
238 // check the stacktrace with a debugger
@@ -347,7 +347,7 @@
void writeDataToFile(const std::string &file_path, const std::string &data)
write data to file_path
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
int32_t size[5]
Definition Slice.cpp:35
float test_data[1960]
Definition test_data.h:19
diff --git a/_training_onert_micro_8cpp_source.html b/_training_onert_micro_8cpp_source.html index b70f9c871d2..9cc92b1d666 100644 --- a/_training_onert_micro_8cpp_source.html +++ b/_training_onert_micro_8cpp_source.html @@ -250,7 +250,7 @@
151
152 for (uint32_t epoch = 0; epoch < epochs; ++epoch)
153 {
-
154 for (uint32_t infer = 0; infer < num_inferences; ++infer)
+
154 for (uint32_t infer = 0; infer < num_inferences; ++infer)
155 {
156 for (uint32_t batch = 0; batch < batch_size; ++batch)
157 {
@@ -348,7 +348,7 @@ -
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
float test_data[1960]
Definition test_data.h:19
diff --git a/_type_inference_8h_source.html b/_type_inference_8h_source.html index 52bdf7b6736..885c7c48a64 100644 --- a/_type_inference_8h_source.html +++ b/_type_inference_8h_source.html @@ -142,7 +142,7 @@
63{
64 bool recognize(const Dialect *) const final;
-
65 bool infer(const Node *, DataType &) const final;
+
65 bool infer(const Node *, DataType &) const final;
66};
67
@@ -151,7 +151,7 @@
72{
73public:
74 bool recognize(const Dialect *) const final;
-
75 bool infer(const Node *, DataType &) const final;
+
75 bool infer(const Node *, DataType &) const final;
76
79
@@ -216,7 +216,7 @@
bool dtype_known(const Node *node)
DataType
"scalar" value type
Definition DataType.h:27
DataType dtype_get(const Node *node)
-
std::vector< float > infer()
Definition main.cpp:25
+
std::vector< float > infer()
Definition main.cpp:25
Type Inference Rule for Canonical Dialect.
bool recognize(const Dialect *) const final
Return true if this rule recognizes a given dialect.
diff --git a/annotated.html b/annotated.html index c6dfe7ffcee..c23c45ac888 100644 --- a/annotated.html +++ b/annotated.html @@ -3372,59 +3372,63 @@  CNegTestDataInputOutputTypeMismatchGatherKernel  CNegTestDataInputOutputTypeMismatchLogisticKernel  CNegTestDataInputOutputTypeMismatchMaxPool2DKernel - CNegTestDataInputOutputTypeMismatchSubKernel - CNegTestDataInputsTypeMismatchSubKernel - CNegTestDataInt16TypeMul - CNegTestDataInvalidInputShapeConv2DKernel - CNegTestDataInvalidInputShapeMaxPool2DKernel - CNegTestDataNoQuantParamsLogisticKernel - CNegTestDataNoQuantParamsMaxPool2DKernel - CNegTestDataNoQuantParamsS16AddKernel - CNegTestDataNoQuantParamsSubKernel - CNegTestDataWrongAxisGatherKernel - CNegTestDataWrongBiasShapeFullyConnectedKernel - CNegTestDataWrongOutputTypeShapeKernel - CNegTestDataWrongPositionTypeGatherKernel - CNegTestDataWrongWeightShapeFullyConnectedKernel - CTestData32IntAdd - CTestData64IntAdd - CTestDataAbsBase - CTestDataAddBase - CTestDataBase - CTestDataConcatenationBase - CTestDataConv2DBase - CTestDataFloatAbs - CTestDataFloatAdd - CTestDataFloatConcatenation - CTestDataFloatConv2D - CTestDataFloatFullyConnected - CTestDataFloatGather - CTestDataFloatLogistic - CTestDataFloatMaxPool2D - CTestDataFloatMul - CTestDataFloatPack - CTestDataFloatSub - CTestDataFullyConnectedBase - CTestDataGatherBase - CTestDataInputTypeMismatchConcatenation - CTestDataIntGather - CTestDataIntMul - CTestDataIntPack - CTestDataIntSub - CTestDataLogisticBase - CTestDataMaxPool2DBase - CTestDataMulBase - CTestDataPackBase - CTestDataQuantU8Pack - CTestDataReluConcatenation - CTestDataReshapeKernel - CTestDataS32Concatenation - CTestDataS64Concatenation - CTestDataS8FullyConnected - CTestDataShapeKernel - CTestDataStridedSliceKernel - CTestDataSubBase - CTestDataWrongAxisConcatenation + CNegTestDataInputOutputTypeMismatchSoftmaxKernel + CNegTestDataInputOutputTypeMismatchSubKernel + CNegTestDataInputsTypeMismatchSubKernel + CNegTestDataInt16TypeMul + CNegTestDataInvalidInputShapeConv2DKernel + CNegTestDataInvalidInputShapeMaxPool2DKernel + CNegTestDataNoQuantParamsLogisticKernel + CNegTestDataNoQuantParamsMaxPool2DKernel + CNegTestDataNoQuantParamsS16AddKernel + CNegTestDataNoQuantParamsSoftmaxKernel + CNegTestDataNoQuantParamsSubKernel + CNegTestDataWrongAxisGatherKernel + CNegTestDataWrongBiasShapeFullyConnectedKernel + CNegTestDataWrongOutputTypeShapeKernel + CNegTestDataWrongPositionTypeGatherKernel + CNegTestDataWrongWeightShapeFullyConnectedKernel + CTestData32IntAdd + CTestData64IntAdd + CTestDataAbsBase + CTestDataAddBase + CTestDataBase + CTestDataConcatenationBase + CTestDataConv2DBase + CTestDataFloatAbs + CTestDataFloatAdd + CTestDataFloatConcatenation + CTestDataFloatConv2D + CTestDataFloatFullyConnected + CTestDataFloatGather + CTestDataFloatLogistic + CTestDataFloatMaxPool2D + CTestDataFloatMul + CTestDataFloatPack + CTestDataFloatSoftmax + CTestDataFloatSub + CTestDataFullyConnectedBase + CTestDataGatherBase + CTestDataInputTypeMismatchConcatenation + CTestDataIntGather + CTestDataIntMul + CTestDataIntPack + CTestDataIntSub + CTestDataLogisticBase + CTestDataMaxPool2DBase + CTestDataMulBase + CTestDataPackBase + CTestDataQuantU8Pack + CTestDataReluConcatenation + CTestDataReshapeKernel + CTestDataS32Concatenation + CTestDataS64Concatenation + CTestDataS8FullyConnected + CTestDataShapeKernel + CTestDataSoftmaxBase + CTestDataStridedSliceKernel + CTestDataSubBase + CTestDataWrongAxisConcatenation  COMConfig  COMInterpreter  Nonert_test diff --git a/annotated_dup.js b/annotated_dup.js index 2397da514e6..85ecf5f843e 100644 --- a/annotated_dup.js +++ b/annotated_dup.js @@ -3390,6 +3390,7 @@ var annotated_dup = [ "NegTestDataInputOutputTypeMismatchGatherKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_gather_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_gather_kernel" ], [ "NegTestDataInputOutputTypeMismatchLogisticKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_logistic_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_logistic_kernel" ], [ "NegTestDataInputOutputTypeMismatchMaxPool2DKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_max_pool2_d_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_max_pool2_d_kernel" ], + [ "NegTestDataInputOutputTypeMismatchSoftmaxKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel" ], [ "NegTestDataInputOutputTypeMismatchSubKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_sub_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_sub_kernel" ], [ "NegTestDataInputsTypeMismatchSubKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_inputs_type_mismatch_sub_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_inputs_type_mismatch_sub_kernel" ], [ "NegTestDataInt16TypeMul", "classonert__micro_1_1test__model_1_1_neg_test_data_int16_type_mul.html", "classonert__micro_1_1test__model_1_1_neg_test_data_int16_type_mul" ], @@ -3398,6 +3399,7 @@ var annotated_dup = [ "NegTestDataNoQuantParamsLogisticKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_logistic_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_logistic_kernel" ], [ "NegTestDataNoQuantParamsMaxPool2DKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_max_pool2_d_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_max_pool2_d_kernel" ], [ "NegTestDataNoQuantParamsS16AddKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_s16_add_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_s16_add_kernel" ], + [ "NegTestDataNoQuantParamsSoftmaxKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel" ], [ "NegTestDataNoQuantParamsSubKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_sub_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_sub_kernel" ], [ "NegTestDataWrongAxisGatherKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_wrong_axis_gather_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_wrong_axis_gather_kernel" ], [ "NegTestDataWrongBiasShapeFullyConnectedKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_wrong_bias_shape_fully_connected_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_wrong_bias_shape_fully_connected_kernel" ], @@ -3421,6 +3423,7 @@ var annotated_dup = [ "TestDataFloatMaxPool2D", "classonert__micro_1_1test__model_1_1_test_data_float_max_pool2_d.html", "classonert__micro_1_1test__model_1_1_test_data_float_max_pool2_d" ], [ "TestDataFloatMul", "classonert__micro_1_1test__model_1_1_test_data_float_mul.html", "classonert__micro_1_1test__model_1_1_test_data_float_mul" ], [ "TestDataFloatPack", "classonert__micro_1_1test__model_1_1_test_data_float_pack.html", "classonert__micro_1_1test__model_1_1_test_data_float_pack" ], + [ "TestDataFloatSoftmax", "classonert__micro_1_1test__model_1_1_test_data_float_softmax.html", "classonert__micro_1_1test__model_1_1_test_data_float_softmax" ], [ "TestDataFloatSub", "classonert__micro_1_1test__model_1_1_test_data_float_sub.html", "classonert__micro_1_1test__model_1_1_test_data_float_sub" ], [ "TestDataFullyConnectedBase", "classonert__micro_1_1test__model_1_1_test_data_fully_connected_base.html", "classonert__micro_1_1test__model_1_1_test_data_fully_connected_base" ], [ "TestDataGatherBase", "classonert__micro_1_1test__model_1_1_test_data_gather_base.html", "classonert__micro_1_1test__model_1_1_test_data_gather_base" ], @@ -3440,6 +3443,7 @@ var annotated_dup = [ "TestDataS64Concatenation", "classonert__micro_1_1test__model_1_1_test_data_s64_concatenation.html", "classonert__micro_1_1test__model_1_1_test_data_s64_concatenation" ], [ "TestDataS8FullyConnected", "classonert__micro_1_1test__model_1_1_test_data_s8_fully_connected.html", "classonert__micro_1_1test__model_1_1_test_data_s8_fully_connected" ], [ "TestDataShapeKernel", "classonert__micro_1_1test__model_1_1_test_data_shape_kernel.html", "classonert__micro_1_1test__model_1_1_test_data_shape_kernel" ], + [ "TestDataSoftmaxBase", "classonert__micro_1_1test__model_1_1_test_data_softmax_base.html", "classonert__micro_1_1test__model_1_1_test_data_softmax_base" ], [ "TestDataStridedSliceKernel", "classonert__micro_1_1test__model_1_1_test_data_strided_slice_kernel.html", "classonert__micro_1_1test__model_1_1_test_data_strided_slice_kernel" ], [ "TestDataSubBase", "classonert__micro_1_1test__model_1_1_test_data_sub_base.html", "classonert__micro_1_1test__model_1_1_test_data_sub_base" ], [ "TestDataWrongAxisConcatenation", "classonert__micro_1_1test__model_1_1_test_data_wrong_axis_concatenation.html", "classonert__micro_1_1test__model_1_1_test_data_wrong_axis_concatenation" ] diff --git a/api_2nnapi_2_execution_8cc.html b/api_2nnapi_2execution_8cc.html similarity index 97% rename from api_2nnapi_2_execution_8cc.html rename to api_2nnapi_2execution_8cc.html index 321f430f435..a3a32d37f6d 100644 --- a/api_2nnapi_2_execution_8cc.html +++ b/api_2nnapi_2execution_8cc.html @@ -63,7 +63,7 @@
@@ -103,7 +103,7 @@ #include "wrapper/NNAPIConvert.h"
#include "util/logging.h"
-

Go to the source code of this file.

+

Go to the source code of this file.

@@ -133,7 +133,7 @@ diff --git a/api_2nnapi_2_execution_8cc.js b/api_2nnapi_2execution_8cc.js similarity index 97% rename from api_2nnapi_2_execution_8cc.js rename to api_2nnapi_2execution_8cc.js index cb47000f00d..de077bc6371 100644 --- a/api_2nnapi_2_execution_8cc.js +++ b/api_2nnapi_2execution_8cc.js @@ -1,4 +1,4 @@ -var api_2nnapi_2_execution_8cc = +var api_2nnapi_2execution_8cc = [ [ "ANeuralNetworksExecution_compute", "group___neural_networks.html#gaeabec9cd6decfeb627ec664707178c04", null ], [ "ANeuralNetworksExecution_create", "group___neural_networks.html#ga1079439ec94c91b9a0d60005d6bad576", null ], diff --git a/api_2nnapi_2_execution_8cc_source.html b/api_2nnapi_2execution_8cc_source.html similarity index 98% rename from api_2nnapi_2_execution_8cc_source.html rename to api_2nnapi_2execution_8cc_source.html index 5ce1fa51c26..df545430eb4 100644 --- a/api_2nnapi_2_execution_8cc_source.html +++ b/api_2nnapi_2execution_8cc_source.html @@ -68,7 +68,7 @@
@@ -97,7 +97,7 @@
execution.cc
-Go to the documentation of this file.
1/*
+Go to the documentation of this file.
1/*
2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
@@ -625,18 +625,18 @@
This file contains convereter(s) from NNAPI frontend's struct to onert's internal struct.
static size_t calculateSizeFromType(const ANeuralNetworksOperandType *type)
Calcaulate operand size from NNAPI type.
-
int ANeuralNetworksExecution_create(ANeuralNetworksCompilation *compilation, ANeuralNetworksExecution **execution)
Definition execution.cc:31
-
int ANeuralNetworksExecution_setOutput(ANeuralNetworksExecution *execution, int32_t index, const ANeuralNetworksOperandType *type, void *buffer, size_t length)
Definition execution.cc:180
-
int ANeuralNetworksExecution_setOutputFromMemory(ANeuralNetworksExecution *execution, int32_t index, const ANeuralNetworksOperandType *type, const ANeuralNetworksMemory *memory, size_t offset, size_t length)
Definition execution.cc:379
-
void ANeuralNetworksExecution_free(ANeuralNetworksExecution *execution)
Definition execution.cc:301
-
int ANeuralNetworksExecution_startCompute(ANeuralNetworksExecution *execution, ANeuralNetworksEvent **event)
Definition execution.cc:257
-
int ANeuralNetworksExecution_getOutputOperandRank(ANeuralNetworksExecution *execution, int32_t index, uint32_t *rank)
Definition execution.cc:454
+
int ANeuralNetworksExecution_create(ANeuralNetworksCompilation *compilation, ANeuralNetworksExecution **execution)
Definition execution.cc:31
+
int ANeuralNetworksExecution_setOutput(ANeuralNetworksExecution *execution, int32_t index, const ANeuralNetworksOperandType *type, void *buffer, size_t length)
Definition execution.cc:180
+
int ANeuralNetworksExecution_setOutputFromMemory(ANeuralNetworksExecution *execution, int32_t index, const ANeuralNetworksOperandType *type, const ANeuralNetworksMemory *memory, size_t offset, size_t length)
Definition execution.cc:379
+
void ANeuralNetworksExecution_free(ANeuralNetworksExecution *execution)
Definition execution.cc:301
+
int ANeuralNetworksExecution_startCompute(ANeuralNetworksExecution *execution, ANeuralNetworksEvent **event)
Definition execution.cc:257
+
int ANeuralNetworksExecution_getOutputOperandRank(ANeuralNetworksExecution *execution, int32_t index, uint32_t *rank)
Definition execution.cc:454
-
int ANeuralNetworksExecution_setInputFromMemory(ANeuralNetworksExecution *execution, int32_t index, const ANeuralNetworksOperandType *type, const ANeuralNetworksMemory *memory, size_t offset, size_t length)
Definition execution.cc:303
-
int ANeuralNetworksExecution_compute(ANeuralNetworksExecution *execution)
Definition execution.cc:284
-
int ANeuralNetworksExecution_getOutputOperandDimensions(ANeuralNetworksExecution *execution, int32_t index, uint32_t *dimensions)
Definition execution.cc:480
-
int ANeuralNetworksExecution_setInput(ANeuralNetworksExecution *execution, int32_t index, const ANeuralNetworksOperandType *type, const void *buffer, size_t length)
Definition execution.cc:68
+
int ANeuralNetworksExecution_setInputFromMemory(ANeuralNetworksExecution *execution, int32_t index, const ANeuralNetworksOperandType *type, const ANeuralNetworksMemory *memory, size_t offset, size_t length)
Definition execution.cc:303
+
int ANeuralNetworksExecution_compute(ANeuralNetworksExecution *execution)
Definition execution.cc:284
+
int ANeuralNetworksExecution_getOutputOperandDimensions(ANeuralNetworksExecution *execution, int32_t index, uint32_t *dimensions)
Definition execution.cc:480
+
int ANeuralNetworksExecution_setInput(ANeuralNetworksExecution *execution, int32_t index, const ANeuralNetworksOperandType *type, const void *buffer, size_t length)
Definition execution.cc:68
@ ANEURALNETWORKS_UNEXPECTED_NULL
@ ANEURALNETWORKS_BAD_DATA
@ ANEURALNETWORKS_NO_ERROR
@@ -672,7 +672,7 @@ diff --git a/caffe2__dot__dumper_2model__dump_8cpp_source.html b/caffe2__dot__dumper_2model__dump_8cpp_source.html index 1922bc78b7a..774bf370aea 100644 --- a/caffe2__dot__dumper_2model__dump_8cpp_source.html +++ b/caffe2__dot__dumper_2model__dump_8cpp_source.html @@ -125,7 +125,7 @@
26using namespace mir;
27
-
28int main(int argc, const char **argv)
+
28int main(int argc, const char **argv)
29{
30 cli::Option<std::string> predict_net(cli::optname("--predict-net"),
31 cli::overview("Path to the model"));
@@ -160,7 +160,7 @@
void dumpGraph(const Graph *graph, std::ostream &stream)
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
diff --git a/caffe2circle_8cpp_source.html b/caffe2circle_8cpp_source.html index d37259c8d3a..2e2eb40b6e7 100644 --- a/caffe2circle_8cpp_source.html +++ b/caffe2circle_8cpp_source.html @@ -121,7 +121,7 @@
22#include <iostream>
23
-
24int main(int argc, char *argv[])
+
24int main(int argc, char *argv[])
25{
26 if (argc != 3)
27 {
@@ -146,7 +146,7 @@
std::unique_ptr< mir::Graph > importModelFromBinaryFile(const std::string &filename)
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
diff --git a/caffe_2src_2_i_r_builder_8h.html b/caffe_2src_2_i_r_builder_8h.html index e46a73d381a..8c146ef1f27 100644 --- a/caffe_2src_2_i_r_builder_8h.html +++ b/caffe_2src_2_i_r_builder_8h.html @@ -150,7 +150,7 @@

References m.

-

Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConcatBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), caffeimport::ReLUBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::build_activation(), and instr_builder().

+

Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConcatBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), caffeimport::ReLUBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::build_activation(), and instr_builder().

@@ -218,7 +218,7 @@

References m.

-

Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConcatBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), caffeimport::ReLUBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::build_activation(), and op_builder().

+

Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConcatBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), caffeimport::ReLUBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::build_activation(), and op_builder().

diff --git a/caffe__dot__dumper_2model__dump_8cpp_source.html b/caffe__dot__dumper_2model__dump_8cpp_source.html index 23c3a6fe416..d1d3b0f76f9 100644 --- a/caffe__dot__dumper_2model__dump_8cpp_source.html +++ b/caffe__dot__dumper_2model__dump_8cpp_source.html @@ -125,7 +125,7 @@
26using namespace mir;
27
-
28int main(int argc, const char **argv)
+
28int main(int argc, const char **argv)
29{
30 cli::Option<std::string> model_path(cli::optname("--model"), cli::overview("Path to the model"));
@@ -154,7 +154,7 @@
void dumpGraph(const Graph *graph, std::ostream &stream)
-
int main()
Definition main.cpp:58
+
int main()
Definition main.cpp:58
diff --git a/circle-quantizer_2src_2_circle_quantizer_8cpp.html b/circle-quantizer_2src_2_circle_quantizer_8cpp.html index 113c234df84..dc01512980a 100644 --- a/circle-quantizer_2src_2_circle_quantizer_8cpp.html +++ b/circle-quantizer_2src_2_circle_quantizer_8cpp.html @@ -251,356 +251,368 @@

-

Definition at line 162 of file CircleQuantizer.cpp.

-
163{
-
164 luci::CircleQuantizer quantizer;
-
165
-
166 auto options = quantizer.options();
-
167 auto settings = luci::UserSettings::settings();
-
168
-
169 const std::string qdqw = "--quantize_dequantize_weights";
-
170 const std::string qwmm = "--quantize_with_minmax";
-
171 const std::string rq = "--requantize";
-
172 const std::string fq = "--force_quantparam";
-
173 const std::string cq = "--copy_quantparam";
-
174 const std::string fake_quant = "--fake_quantize";
-
175 const std::string qw = "--quantize_weights";
-
176 const std::string cfg = "--config";
-
177
-
178 const std::string tf_maxpool = "--TF-style_maxpool";
+

Definition at line 163 of file CircleQuantizer.cpp.

+
164{
+
165 luci::CircleQuantizer quantizer;
+
166
+
167 auto options = quantizer.options();
+
168 auto settings = luci::UserSettings::settings();
+
169
+
170 const std::string qdqw = "--quantize_dequantize_weights";
+
171 const std::string qwmm = "--quantize_with_minmax";
+
172 const std::string qofm = "--quantize_onnx_fq_model";
+
173 const std::string rq = "--requantize";
+
174 const std::string fq = "--force_quantparam";
+
175 const std::string cq = "--copy_quantparam";
+
176 const std::string fake_quant = "--fake_quantize";
+
177 const std::string qw = "--quantize_weights";
+
178 const std::string cfg = "--config";
179
-
180 const std::string gpd = "--generate_profile_data";
+
180 const std::string tf_maxpool = "--TF-style_maxpool";
181
-
182 const std::string save_min_max = "--save_min_max";
+
182 const std::string gpd = "--generate_profile_data";
183
-
184 arser::Arser arser("circle-quantizer provides circle model quantization");
+
184 const std::string save_min_max = "--save_min_max";
185
- - -
188
-
189 arser.add_argument(qdqw)
-
190 .nargs(3)
-
191 .type(arser::DataType::STR_VEC)
-
192 .help("Quantize-dequantize weight values required action before quantization. "
-
193 "Three arguments required: input_model_dtype(float32) "
-
194 "output_model_dtype(uint8) granularity(layer, channel)");
-
195
-
196 arser.add_argument(qwmm)
-
197 .nargs(3)
-
198 .type(arser::DataType::STR_VEC)
-
199 .help("Quantize with min/max values. "
-
200 "Three arguments required: input_model_dtype(float32) "
-
201 "output_model_dtype(uint8) granularity(layer, channel)");
-
202
-
203 arser.add_argument(tf_maxpool)
-
204 .nargs(0)
-
205 .default_value(false)
-
206 .help("Force MaxPool Op to have the same input/output quantparams. NOTE: This feature can "
-
207 "degrade accuracy of some models");
-
208
-
209 arser.add_argument(save_min_max)
-
210 .nargs(0)
-
211 .default_value(false)
-
212 .help("Save recorded min/max values.");
+
186 arser::Arser arser("circle-quantizer provides circle model quantization");
+
187
+ + +
190
+
191 arser.add_argument(qofm).nargs(0).default_value(false).help(
+
192 "Quantize Onnx fake-quantized (with QDQ) model");
+
193
+
194 arser.add_argument(qdqw)
+
195 .nargs(3)
+
196 .type(arser::DataType::STR_VEC)
+
197 .help("Quantize-dequantize weight values required action before quantization. "
+
198 "Three arguments required: input_model_dtype(float32) "
+
199 "output_model_dtype(uint8) granularity(layer, channel)");
+
200
+
201 arser.add_argument(qwmm)
+
202 .nargs(3)
+
203 .type(arser::DataType::STR_VEC)
+
204 .help("Quantize with min/max values. "
+
205 "Three arguments required: input_model_dtype(float32) "
+
206 "output_model_dtype(uint8) granularity(layer, channel)");
+
207
+
208 arser.add_argument(tf_maxpool)
+
209 .nargs(0)
+
210 .default_value(false)
+
211 .help("Force MaxPool Op to have the same input/output quantparams. NOTE: This feature can "
+
212 "degrade accuracy of some models");
213
-
214 arser.add_argument(fake_quant)
+
214 arser.add_argument(save_min_max)
215 .nargs(0)
-
216 .help("Convert a quantized model to a fake-quantized model. NOTE: This feature will "
-
217 "generate an fp32 model.");
+
216 .default_value(false)
+
217 .help("Save recorded min/max values.");
218
-
219 arser.add_argument(rq)
-
220 .nargs(2)
-
221 .type(arser::DataType::STR_VEC)
-
222 .help("Requantize a quantized model. "
-
223 "Two arguments required: input_model_dtype(int8) "
-
224 "output_model_dtype(uint8)");
-
225
-
226 arser.add_argument(fq)
-
227 .nargs(3)
-
228 .type(arser::DataType::STR_VEC)
-
229 .accumulated(true)
-
230 .help("Write quantization parameters to the specified tensor. "
-
231 "Three arguments required: tensor_name(string), "
-
232 "scale(float) zero_point(int)");
-
233
-
234 arser.add_argument(cq)
-
235 .nargs(2)
-
236 .type(arser::DataType::STR_VEC)
-
237 .accumulated(true)
-
238 .help("Copy quantization parameter from a tensor to another tensor."
-
239 "Two arguments required: source_tensor_name(string), "
-
240 "destination_tensor_name(string)");
-
241
-
242 arser.add_argument(qw)
-
243 .nargs(3)
-
244 .type(arser::DataType::STR_VEC)
-
245 .help("Quantize weights values only"
-
246 "Three arguments required: input_model_dtype(float32) "
-
247 "output_model_dtype(int8, int16) granularity(channel)");
-
248
-
249 arser.add_argument("--input_type")
-
250 .help("Input type of quantized model (uint8, int16, int32, int64, float32, or bool). For "
-
251 "multiple inputs, "
-
252 "use comma-separated values. e.g., uint8,int16");
+
219 arser.add_argument(fake_quant)
+
220 .nargs(0)
+
221 .help("Convert a quantized model to a fake-quantized model. NOTE: This feature will "
+
222 "generate an fp32 model.");
+
223
+
224 arser.add_argument(rq)
+
225 .nargs(2)
+
226 .type(arser::DataType::STR_VEC)
+
227 .help("Requantize a quantized model. "
+
228 "Two arguments required: input_model_dtype(int8) "
+
229 "output_model_dtype(uint8)");
+
230
+
231 arser.add_argument(fq)
+
232 .nargs(3)
+
233 .type(arser::DataType::STR_VEC)
+
234 .accumulated(true)
+
235 .help("Write quantization parameters to the specified tensor. "
+
236 "Three arguments required: tensor_name(string), "
+
237 "scale(float) zero_point(int)");
+
238
+
239 arser.add_argument(cq)
+
240 .nargs(2)
+
241 .type(arser::DataType::STR_VEC)
+
242 .accumulated(true)
+
243 .help("Copy quantization parameter from a tensor to another tensor."
+
244 "Two arguments required: source_tensor_name(string), "
+
245 "destination_tensor_name(string)");
+
246
+
247 arser.add_argument(qw)
+
248 .nargs(3)
+
249 .type(arser::DataType::STR_VEC)
+
250 .help("Quantize weights values only"
+
251 "Three arguments required: input_model_dtype(float32) "
+
252 "output_model_dtype(int8, int16) granularity(channel)");
253
-
254 arser.add_argument("--output_type")
-
255 .help("Output type of quantized model (uint8, int16, int32, int64, float32, or bool). For "
-
256 "multiple outputs, "
+
254 arser.add_argument("--input_type")
+
255 .help("Input type of quantized model (uint8, int16, int32, int64, float32, or bool). For "
+
256 "multiple inputs, "
257 "use comma-separated values. e.g., uint8,int16");
258
-
259 arser.add_argument(cfg).help("Path to the quantization configuration file");
-
260
-
261 arser.add_argument("input").help("Input circle model");
-
262 arser.add_argument("output").help("Output circle model");
+
259 arser.add_argument("--output_type")
+
260 .help("Output type of quantized model (uint8, int16, int32, int64, float32, or bool). For "
+
261 "multiple outputs, "
+
262 "use comma-separated values. e.g., uint8,int16");
263
-
264 arser.add_argument(gpd).nargs(0).required(false).default_value(false).help(
-
265 "This will turn on profiling data generation.");
-
266
-
267 try
-
268 {
-
269 arser.parse(argc, argv);
-
270 }
-
271 catch (const std::runtime_error &err)
-
272 {
-
273 std::cerr << err.what() << std::endl;
-
274 std::cout << arser;
-
275 return 255;
-
276 }
-
277
-
278 {
-
279 // only one of qdqw, qwmm, rq, fq, cq, fake_quant, qw option can be used
-
280 int32_t opt_used = arser[qdqw] ? 1 : 0;
-
281 opt_used += arser[qwmm] ? 1 : 0;
-
282 opt_used += arser[rq] ? 1 : 0;
-
283 opt_used += arser[fq] ? 1 : 0;
-
284 opt_used += arser[cq] ? 1 : 0;
-
285 opt_used += arser[fake_quant] ? 1 : 0;
-
286 opt_used += arser[qw] ? 1 : 0;
-
287 if (opt_used != 1)
-
288 {
- -
290 return 255;
-
291 }
-
292 }
-
293
-
294 if (arser.get<bool>("--verbose"))
-
295 {
-
296 // The third parameter of setenv means REPLACE.
-
297 // If REPLACE is zero, it does not overwrite an existing value.
-
298 setenv("LUCI_LOG", "100", 0);
-
299 }
-
300
-
301 if (arser[qdqw])
-
302 {
-
303 auto values = arser.get<std::vector<std::string>>(qdqw);
-
304 if (values.size() != 3)
-
305 {
-
306 std::cerr << arser;
-
307 return 255;
-
308 }
-
309 options->enable(Algorithms::QuantizeDequantizeWeights);
-
310
-
311 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
-
312 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
-
313 options->param(AlgorithmParameters::Quantize_granularity, values.at(2));
-
314
-
315 if (arser[cfg])
-
316 {
-
317 auto filename = arser.get<std::string>(cfg);
-
318 try
-
319 {
-
320 auto layer_params = read_layer_params(filename);
-
321
-
322 options->layer_params(AlgorithmParameters::Quantize_layer_params, layer_params);
-
323
-
324 auto layer_params_set = read_layer_params_set(filename);
-
325
-
326 options->layer_params_set(layer_params_set);
-
327 }
-
328 catch (const std::runtime_error &e)
-
329 {
-
330 std::cerr << e.what() << '\n';
-
331 return 255;
-
332 }
-
333 }
-
334 }
-
335
-
336 if (arser[qwmm])
-
337 {
-
338 auto values = arser.get<std::vector<std::string>>(qwmm);
-
339 if (values.size() != 3)
-
340 {
-
341 std::cerr << arser;
-
342 return 255;
-
343 }
-
344 options->enable(Algorithms::QuantizeWithMinMax);
-
345
-
346 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
-
347 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
-
348 options->param(AlgorithmParameters::Quantize_granularity, values.at(2));
-
349
-
350 if (arser["--input_type"])
-
351 options->param(AlgorithmParameters::Quantize_input_type,
-
352 arser.get<std::string>("--input_type"));
-
353
-
354 if (arser["--output_type"])
-
355 options->param(AlgorithmParameters::Quantize_output_type,
-
356 arser.get<std::string>("--output_type"));
-
357
-
358 if (arser[tf_maxpool] and arser.get<bool>(tf_maxpool))
-
359 options->param(AlgorithmParameters::Quantize_TF_style_maxpool, "True");
-
360
-
361 if (arser[save_min_max] and arser.get<bool>(save_min_max))
-
362 options->param(AlgorithmParameters::Quantize_save_min_max, "True");
+
264 arser.add_argument(cfg).help("Path to the quantization configuration file");
+
265
+
266 arser.add_argument("input").help("Input circle model");
+
267 arser.add_argument("output").help("Output circle model");
+
268
+
269 arser.add_argument(gpd).nargs(0).required(false).default_value(false).help(
+
270 "This will turn on profiling data generation.");
+
271
+
272 try
+
273 {
+
274 arser.parse(argc, argv);
+
275 }
+
276 catch (const std::runtime_error &err)
+
277 {
+
278 std::cerr << err.what() << std::endl;
+
279 std::cout << arser;
+
280 return 255;
+
281 }
+
282
+
283 {
+
284 // only one of qdqw, qwmm, rq, fq, cq, fake_quant, qw, qofm option can be used
+
285 int32_t opt_used = arser[qdqw] ? 1 : 0;
+
286 opt_used += arser[qwmm] ? 1 : 0;
+
287 opt_used += arser[rq] ? 1 : 0;
+
288 opt_used += arser[fq] ? 1 : 0;
+
289 opt_used += arser[cq] ? 1 : 0;
+
290 opt_used += arser[fake_quant] ? 1 : 0;
+
291 opt_used += arser[qw] ? 1 : 0;
+
292 opt_used += arser.get<bool>(qofm) ? 1 : 0;
+
293 if (opt_used != 1)
+
294 {
+ +
296 return 255;
+
297 }
+
298 }
+
299
+
300 if (arser.get<bool>("--verbose"))
+
301 {
+
302 // The third parameter of setenv means REPLACE.
+
303 // If REPLACE is zero, it does not overwrite an existing value.
+
304 setenv("LUCI_LOG", "100", 0);
+
305 }
+
306
+
307 if (arser[qdqw])
+
308 {
+
309 auto values = arser.get<std::vector<std::string>>(qdqw);
+
310 if (values.size() != 3)
+
311 {
+
312 std::cerr << arser;
+
313 return 255;
+
314 }
+
315 options->enable(Algorithms::QuantizeDequantizeWeights);
+
316
+
317 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
+
318 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
+
319 options->param(AlgorithmParameters::Quantize_granularity, values.at(2));
+
320
+
321 if (arser[cfg])
+
322 {
+
323 auto filename = arser.get<std::string>(cfg);
+
324 try
+
325 {
+
326 auto layer_params = read_layer_params(filename);
+
327
+
328 options->layer_params(AlgorithmParameters::Quantize_layer_params, layer_params);
+
329
+
330 auto layer_params_set = read_layer_params_set(filename);
+
331
+
332 options->layer_params_set(layer_params_set);
+
333 }
+
334 catch (const std::runtime_error &e)
+
335 {
+
336 std::cerr << e.what() << '\n';
+
337 return 255;
+
338 }
+
339 }
+
340 }
+
341
+
342 if (arser[qwmm])
+
343 {
+
344 auto values = arser.get<std::vector<std::string>>(qwmm);
+
345 if (values.size() != 3)
+
346 {
+
347 std::cerr << arser;
+
348 return 255;
+
349 }
+
350 options->enable(Algorithms::QuantizeWithMinMax);
+
351
+
352 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
+
353 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
+
354 options->param(AlgorithmParameters::Quantize_granularity, values.at(2));
+
355
+
356 if (arser["--input_type"])
+
357 options->param(AlgorithmParameters::Quantize_input_type,
+
358 arser.get<std::string>("--input_type"));
+
359
+
360 if (arser["--output_type"])
+
361 options->param(AlgorithmParameters::Quantize_output_type,
+
362 arser.get<std::string>("--output_type"));
363
-
364 if (arser[cfg])
-
365 {
-
366 auto filename = arser.get<std::string>(cfg);
-
367 try
-
368 {
-
369 auto layer_params = read_layer_params(filename);
-
370
-
371 options->layer_params(AlgorithmParameters::Quantize_layer_params, layer_params);
-
372
-
373 auto layer_params_set = read_layer_params_set(filename);
-
374
-
375 options->layer_params_set(layer_params_set);
-
376 }
-
377 catch (const std::runtime_error &e)
-
378 {
-
379 std::cerr << e.what() << '\n';
-
380 return 255;
-
381 }
-
382 }
-
383 }
-
384
-
385 if (arser[rq])
-
386 {
-
387 auto values = arser.get<std::vector<std::string>>(rq);
-
388 if (values.size() != 2)
-
389 {
-
390 std::cerr << arser;
-
391 return 255;
-
392 }
-
393 options->enable(Algorithms::Requantize);
+
364 if (arser[tf_maxpool] and arser.get<bool>(tf_maxpool))
+
365 options->param(AlgorithmParameters::Quantize_TF_style_maxpool, "True");
+
366
+
367 if (arser[save_min_max] and arser.get<bool>(save_min_max))
+
368 options->param(AlgorithmParameters::Quantize_save_min_max, "True");
+
369
+
370 if (arser[cfg])
+
371 {
+
372 auto filename = arser.get<std::string>(cfg);
+
373 try
+
374 {
+
375 auto layer_params = read_layer_params(filename);
+
376
+
377 options->layer_params(AlgorithmParameters::Quantize_layer_params, layer_params);
+
378
+
379 auto layer_params_set = read_layer_params_set(filename);
+
380
+
381 options->layer_params_set(layer_params_set);
+
382 }
+
383 catch (const std::runtime_error &e)
+
384 {
+
385 std::cerr << e.what() << '\n';
+
386 return 255;
+
387 }
+
388 }
+
389 }
+
390
+
391 if (arser.get<bool>(qofm))
+
392 {
+
393 options->enable(Algorithms::QuantizeOnnxFakeQuantizedModel);
394
-
395 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
-
396 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
-
397 }
-
398
-
399 if (arser[fq])
-
400 {
-
401 auto values = arser.get<std::vector<std::vector<std::string>>>(fq);
-
402
-
403 std::vector<std::string> tensors;
-
404 std::vector<std::string> scales;
-
405 std::vector<std::string> zero_points;
-
406
-
407 for (auto const value : values)
-
408 {
-
409 if (value.size() != 3)
-
410 {
-
411 std::cerr << arser;
-
412 return 255;
-
413 }
-
414
-
415 tensors.push_back(value[0]);
-
416 scales.push_back(value[1]);
-
417 zero_points.push_back(value[2]);
-
418 }
+
395 options->param(AlgorithmParameters::Quantize_input_model_dtype, "onnx_fake_quant");
+
396 }
+
397
+
398 if (arser[rq])
+
399 {
+
400 auto values = arser.get<std::vector<std::string>>(rq);
+
401 if (values.size() != 2)
+
402 {
+
403 std::cerr << arser;
+
404 return 255;
+
405 }
+
406 options->enable(Algorithms::Requantize);
+
407
+
408 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
+
409 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
+
410 }
+
411
+
412 if (arser[fq])
+
413 {
+
414 auto values = arser.get<std::vector<std::vector<std::string>>>(fq);
+
415
+
416 std::vector<std::string> tensors;
+
417 std::vector<std::string> scales;
+
418 std::vector<std::string> zero_points;
419
-
420 options->enable(Algorithms::ForceQuantParam);
-
421
-
422 options->params(AlgorithmParameters::Quantize_tensor_names, tensors);
-
423 options->params(AlgorithmParameters::Quantize_scales, scales);
-
424 options->params(AlgorithmParameters::Quantize_zero_points, zero_points);
-
425 }
-
426
-
427 if (arser[cq])
-
428 {
-
429 auto values = arser.get<std::vector<std::vector<std::string>>>(cq);
-
430
-
431 std::vector<std::string> src;
-
432 std::vector<std::string> dst;
-
433
-
434 for (auto const value : values)
-
435 {
-
436 if (value.size() != 2)
-
437 {
-
438 std::cerr << arser;
-
439 return 255;
-
440 }
-
441
-
442 src.push_back(value[0]);
-
443 dst.push_back(value[1]);
-
444 }
-
445
-
446 options->enable(Algorithms::CopyQuantParam);
-
447
-
448 options->params(AlgorithmParameters::Quantize_src_tensor_names, src);
-
449 options->params(AlgorithmParameters::Quantize_dst_tensor_names, dst);
-
450 }
-
451
-
452 if (arser[fake_quant])
-
453 options->enable(Algorithms::ConvertToFakeQuantizedModel);
+
420 for (auto const value : values)
+
421 {
+
422 if (value.size() != 3)
+
423 {
+
424 std::cerr << arser;
+
425 return 255;
+
426 }
+
427
+
428 tensors.push_back(value[0]);
+
429 scales.push_back(value[1]);
+
430 zero_points.push_back(value[2]);
+
431 }
+
432
+
433 options->enable(Algorithms::ForceQuantParam);
+
434
+
435 options->params(AlgorithmParameters::Quantize_tensor_names, tensors);
+
436 options->params(AlgorithmParameters::Quantize_scales, scales);
+
437 options->params(AlgorithmParameters::Quantize_zero_points, zero_points);
+
438 }
+
439
+
440 if (arser[cq])
+
441 {
+
442 auto values = arser.get<std::vector<std::vector<std::string>>>(cq);
+
443
+
444 std::vector<std::string> src;
+
445 std::vector<std::string> dst;
+
446
+
447 for (auto const value : values)
+
448 {
+
449 if (value.size() != 2)
+
450 {
+
451 std::cerr << arser;
+
452 return 255;
+
453 }
454
-
455 if (arser[qw])
-
456 {
-
457 auto values = arser.get<std::vector<std::string>>(qw);
-
458 if (values.size() != 3)
-
459 {
-
460 std::cerr << arser;
-
461 return 255;
-
462 }
-
463 options->enable(Algorithms::QuantizeWeights);
+
455 src.push_back(value[0]);
+
456 dst.push_back(value[1]);
+
457 }
+
458
+
459 options->enable(Algorithms::CopyQuantParam);
+
460
+
461 options->params(AlgorithmParameters::Quantize_src_tensor_names, src);
+
462 options->params(AlgorithmParameters::Quantize_dst_tensor_names, dst);
+
463 }
464
-
465 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
-
466 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
-
467 options->param(AlgorithmParameters::Quantize_granularity, values.at(2));
-
468 }
-
469
-
470 std::string input_path = arser.get<std::string>("input");
-
471 std::string output_path = arser.get<std::string>("output");
-
472
-
473 if (arser[gpd])
- -
475
-
476 // Load model from the file
-
477 luci::ImporterEx importerex;
-
478 auto module = importerex.importVerifyModule(input_path);
-
479 if (module.get() == nullptr)
-
480 return EXIT_FAILURE;
-
481
-
482 for (size_t idx = 0; idx < module->size(); ++idx)
-
483 {
-
484 auto graph = module->graph(idx);
+
465 if (arser[fake_quant])
+
466 options->enable(Algorithms::ConvertToFakeQuantizedModel);
+
467
+
468 if (arser[qw])
+
469 {
+
470 auto values = arser.get<std::vector<std::string>>(qw);
+
471 if (values.size() != 3)
+
472 {
+
473 std::cerr << arser;
+
474 return 255;
+
475 }
+
476 options->enable(Algorithms::QuantizeWeights);
+
477
+
478 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
+
479 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
+
480 options->param(AlgorithmParameters::Quantize_granularity, values.at(2));
+
481 }
+
482
+
483 std::string input_path = arser.get<std::string>("input");
+
484 std::string output_path = arser.get<std::string>("output");
485
-
486 // quantize the graph
-
487 quantizer.quantize(graph);
+
486 if (arser[gpd])
+
488
-
489 if (!luci::validate(graph))
-
490 {
-
491 std::cerr << "ERROR: Quantized graph is invalid" << std::endl;
-
492 return 255;
-
493 }
-
494 }
-
495
-
496 // Export to output Circle file
-
497 luci::CircleExporter exporter;
+
489 // Load model from the file
+
490 luci::ImporterEx importerex;
+
491 auto module = importerex.importVerifyModule(input_path);
+
492 if (module.get() == nullptr)
+
493 return EXIT_FAILURE;
+
494
+
495 for (size_t idx = 0; idx < module->size(); ++idx)
+
496 {
+
497 auto graph = module->graph(idx);
498
-
499 luci::CircleFileExpContract contract(module.get(), output_path);
-
500
-
501 if (!exporter.invoke(&contract))
-
502 {
-
503 std::cerr << "ERROR: Failed to export '" << output_path << "'" << std::endl;
-
504 return 255;
-
505 }
-
506
-
507 return 0;
-
508}
+
499 // quantize the graph
+
500 quantizer.quantize(graph);
+
501
+
502 if (!luci::validate(graph))
+
503 {
+
504 std::cerr << "ERROR: Quantized graph is invalid" << std::endl;
+
505 return 255;
+
506 }
+
507 }
+
508
+
509 // Export to output Circle file
+
510 luci::CircleExporter exporter;
+
511
+
512 luci::CircleFileExpContract contract(module.get(), output_path);
+
513
+
514 if (!exporter.invoke(&contract))
+
515 {
+
516 std::cerr << "ERROR: Failed to export '" << output_path << "'" << std::endl;
+
517 return 255;
+
518 }
+
519
+
520 return 0;
+
521}
void print_exclusive_options(void)
LayerParams read_layer_params(std::string &filename)
-
void print_version(void)
+
void print_version(void)
LayerParamsSet read_layer_params_set(std::string &filename)
static void add_version(Arser &arser, const std::function< void(void)> &func)
Definition arser.h:733
@@ -621,7 +633,7 @@

static UserSettings * settings()

-

References arser::Helper::add_verbose(), arser::Helper::add_version(), luci::CircleExporter::invoke(), luci::CircleQuantizer::options(), print_exclusive_options(), print_version(), luci::UserSettings::ProfilingDataGen, luci::CircleQuantizer::quantize(), read_layer_params(), read_layer_params_set(), luci::UserSettings::settings(), and luci::validate().

+

References arser::Helper::add_verbose(), arser::Helper::add_version(), luci::CircleExporter::invoke(), luci::CircleQuantizer::options(), print_exclusive_options(), print_version(), luci::UserSettings::ProfilingDataGen, luci::CircleQuantizer::quantize(), read_layer_params(), read_layer_params_set(), luci::UserSettings::settings(), and luci::validate().

@@ -649,9 +661,10 @@

151 std::cout << " --requantize" << std::endl;
152 std::cout << " --force_quantparam" << std::endl;
153 std::cout << " --quantize_weights" << std::endl;
-
154}
+
154 std::cout << " --quantize_onnx_fq_model" << std::endl;
+
155}
-

Referenced by entry().

+

Referenced by entry().

@@ -671,17 +684,17 @@

-

Definition at line 156 of file CircleQuantizer.cpp.

-
157{
-
158 std::cout << "circle-quantizer version " << vconone::get_string() << std::endl;
-
159 std::cout << vconone::get_copyright() << std::endl;
-
160}
+

Definition at line 157 of file CircleQuantizer.cpp.

+
158{
+
159 std::cout << "circle-quantizer version " << vconone::get_string() << std::endl;
+
160 std::cout << vconone::get_copyright() << std::endl;
+
161}
std::string get_copyright(void)
get_copyright will return copyright string
Definition version.cpp:54
std::string get_string(void)
get_string will return string of major.minor.patch (without build)
Definition version.cpp:44

References vconone::get_copyright(), and vconone::get_string().

-

Referenced by entry().

+

Referenced by entry().

@@ -747,7 +760,7 @@

References QConfReader::init(), and QConfReader::root().

-

Referenced by entry(), and read_layer_params_set().

+

Referenced by entry(), and read_layer_params_set().

@@ -811,7 +824,7 @@

References luci::CircleQuantizer::Options::LayerParamsSet::emplace_back(), QConfReader::init(), read_layer_params(), and QConfReader::root().

-

Referenced by entry().

+

Referenced by entry().

diff --git a/circle-quantizer_2src_2_circle_quantizer_8cpp_source.html b/circle-quantizer_2src_2_circle_quantizer_8cpp_source.html index c78bf6d5047..00c88c08476 100644 --- a/circle-quantizer_2src_2_circle_quantizer_8cpp_source.html +++ b/circle-quantizer_2src_2_circle_quantizer_8cpp_source.html @@ -259,365 +259,378 @@
151 std::cout << " --requantize" << std::endl;
152 std::cout << " --force_quantparam" << std::endl;
153 std::cout << " --quantize_weights" << std::endl;
-
154}
+
154 std::cout << " --quantize_onnx_fq_model" << std::endl;
+
155}
-
155
-
- -
157{
-
158 std::cout << "circle-quantizer version " << vconone::get_string() << std::endl;
-
159 std::cout << vconone::get_copyright() << std::endl;
-
160}
+
156
+
+ +
158{
+
159 std::cout << "circle-quantizer version " << vconone::get_string() << std::endl;
+
160 std::cout << vconone::get_copyright() << std::endl;
+
161}
-
161
-
-
162int entry(int argc, char **argv)
-
163{
-
164 luci::CircleQuantizer quantizer;
-
165
-
166 auto options = quantizer.options();
-
167 auto settings = luci::UserSettings::settings();
-
168
-
169 const std::string qdqw = "--quantize_dequantize_weights";
-
170 const std::string qwmm = "--quantize_with_minmax";
-
171 const std::string rq = "--requantize";
-
172 const std::string fq = "--force_quantparam";
-
173 const std::string cq = "--copy_quantparam";
-
174 const std::string fake_quant = "--fake_quantize";
-
175 const std::string qw = "--quantize_weights";
-
176 const std::string cfg = "--config";
-
177
-
178 const std::string tf_maxpool = "--TF-style_maxpool";
+
162
+
+
163int entry(int argc, char **argv)
+
164{
+
165 luci::CircleQuantizer quantizer;
+
166
+
167 auto options = quantizer.options();
+
168 auto settings = luci::UserSettings::settings();
+
169
+
170 const std::string qdqw = "--quantize_dequantize_weights";
+
171 const std::string qwmm = "--quantize_with_minmax";
+
172 const std::string qofm = "--quantize_onnx_fq_model";
+
173 const std::string rq = "--requantize";
+
174 const std::string fq = "--force_quantparam";
+
175 const std::string cq = "--copy_quantparam";
+
176 const std::string fake_quant = "--fake_quantize";
+
177 const std::string qw = "--quantize_weights";
+
178 const std::string cfg = "--config";
179
-
180 const std::string gpd = "--generate_profile_data";
+
180 const std::string tf_maxpool = "--TF-style_maxpool";
181
-
182 const std::string save_min_max = "--save_min_max";
+
182 const std::string gpd = "--generate_profile_data";
183
-
184 arser::Arser arser("circle-quantizer provides circle model quantization");
+
184 const std::string save_min_max = "--save_min_max";
185
- - -
188
-
189 arser.add_argument(qdqw)
-
190 .nargs(3)
-
191 .type(arser::DataType::STR_VEC)
-
192 .help("Quantize-dequantize weight values required action before quantization. "
-
193 "Three arguments required: input_model_dtype(float32) "
-
194 "output_model_dtype(uint8) granularity(layer, channel)");
-
195
-
196 arser.add_argument(qwmm)
-
197 .nargs(3)
-
198 .type(arser::DataType::STR_VEC)
-
199 .help("Quantize with min/max values. "
-
200 "Three arguments required: input_model_dtype(float32) "
-
201 "output_model_dtype(uint8) granularity(layer, channel)");
-
202
-
203 arser.add_argument(tf_maxpool)
-
204 .nargs(0)
-
205 .default_value(false)
-
206 .help("Force MaxPool Op to have the same input/output quantparams. NOTE: This feature can "
-
207 "degrade accuracy of some models");
-
208
-
209 arser.add_argument(save_min_max)
-
210 .nargs(0)
-
211 .default_value(false)
-
212 .help("Save recorded min/max values.");
+
186 arser::Arser arser("circle-quantizer provides circle model quantization");
+
187
+ + +
190
+
191 arser.add_argument(qofm).nargs(0).default_value(false).help(
+
192 "Quantize Onnx fake-quantized (with QDQ) model");
+
193
+
194 arser.add_argument(qdqw)
+
195 .nargs(3)
+
196 .type(arser::DataType::STR_VEC)
+
197 .help("Quantize-dequantize weight values required action before quantization. "
+
198 "Three arguments required: input_model_dtype(float32) "
+
199 "output_model_dtype(uint8) granularity(layer, channel)");
+
200
+
201 arser.add_argument(qwmm)
+
202 .nargs(3)
+
203 .type(arser::DataType::STR_VEC)
+
204 .help("Quantize with min/max values. "
+
205 "Three arguments required: input_model_dtype(float32) "
+
206 "output_model_dtype(uint8) granularity(layer, channel)");
+
207
+
208 arser.add_argument(tf_maxpool)
+
209 .nargs(0)
+
210 .default_value(false)
+
211 .help("Force MaxPool Op to have the same input/output quantparams. NOTE: This feature can "
+
212 "degrade accuracy of some models");
213
-
214 arser.add_argument(fake_quant)
+
214 arser.add_argument(save_min_max)
215 .nargs(0)
-
216 .help("Convert a quantized model to a fake-quantized model. NOTE: This feature will "
-
217 "generate an fp32 model.");
+
216 .default_value(false)
+
217 .help("Save recorded min/max values.");
218
-
219 arser.add_argument(rq)
-
220 .nargs(2)
-
221 .type(arser::DataType::STR_VEC)
-
222 .help("Requantize a quantized model. "
-
223 "Two arguments required: input_model_dtype(int8) "
-
224 "output_model_dtype(uint8)");
-
225
-
226 arser.add_argument(fq)
-
227 .nargs(3)
-
228 .type(arser::DataType::STR_VEC)
-
229 .accumulated(true)
-
230 .help("Write quantization parameters to the specified tensor. "
-
231 "Three arguments required: tensor_name(string), "
-
232 "scale(float) zero_point(int)");
-
233
-
234 arser.add_argument(cq)
-
235 .nargs(2)
-
236 .type(arser::DataType::STR_VEC)
-
237 .accumulated(true)
-
238 .help("Copy quantization parameter from a tensor to another tensor."
-
239 "Two arguments required: source_tensor_name(string), "
-
240 "destination_tensor_name(string)");
-
241
-
242 arser.add_argument(qw)
-
243 .nargs(3)
-
244 .type(arser::DataType::STR_VEC)
-
245 .help("Quantize weights values only"
-
246 "Three arguments required: input_model_dtype(float32) "
-
247 "output_model_dtype(int8, int16) granularity(channel)");
-
248
-
249 arser.add_argument("--input_type")
-
250 .help("Input type of quantized model (uint8, int16, int32, int64, float32, or bool). For "
-
251 "multiple inputs, "
-
252 "use comma-separated values. e.g., uint8,int16");
+
219 arser.add_argument(fake_quant)
+
220 .nargs(0)
+
221 .help("Convert a quantized model to a fake-quantized model. NOTE: This feature will "
+
222 "generate an fp32 model.");
+
223
+
224 arser.add_argument(rq)
+
225 .nargs(2)
+
226 .type(arser::DataType::STR_VEC)
+
227 .help("Requantize a quantized model. "
+
228 "Two arguments required: input_model_dtype(int8) "
+
229 "output_model_dtype(uint8)");
+
230
+
231 arser.add_argument(fq)
+
232 .nargs(3)
+
233 .type(arser::DataType::STR_VEC)
+
234 .accumulated(true)
+
235 .help("Write quantization parameters to the specified tensor. "
+
236 "Three arguments required: tensor_name(string), "
+
237 "scale(float) zero_point(int)");
+
238
+
239 arser.add_argument(cq)
+
240 .nargs(2)
+
241 .type(arser::DataType::STR_VEC)
+
242 .accumulated(true)
+
243 .help("Copy quantization parameter from a tensor to another tensor."
+
244 "Two arguments required: source_tensor_name(string), "
+
245 "destination_tensor_name(string)");
+
246
+
247 arser.add_argument(qw)
+
248 .nargs(3)
+
249 .type(arser::DataType::STR_VEC)
+
250 .help("Quantize weights values only"
+
251 "Three arguments required: input_model_dtype(float32) "
+
252 "output_model_dtype(int8, int16) granularity(channel)");
253
-
254 arser.add_argument("--output_type")
-
255 .help("Output type of quantized model (uint8, int16, int32, int64, float32, or bool). For "
-
256 "multiple outputs, "
+
254 arser.add_argument("--input_type")
+
255 .help("Input type of quantized model (uint8, int16, int32, int64, float32, or bool). For "
+
256 "multiple inputs, "
257 "use comma-separated values. e.g., uint8,int16");
258
-
259 arser.add_argument(cfg).help("Path to the quantization configuration file");
-
260
-
261 arser.add_argument("input").help("Input circle model");
-
262 arser.add_argument("output").help("Output circle model");
+
259 arser.add_argument("--output_type")
+
260 .help("Output type of quantized model (uint8, int16, int32, int64, float32, or bool). For "
+
261 "multiple outputs, "
+
262 "use comma-separated values. e.g., uint8,int16");
263
-
264 arser.add_argument(gpd).nargs(0).required(false).default_value(false).help(
-
265 "This will turn on profiling data generation.");
-
266
-
267 try
-
268 {
-
269 arser.parse(argc, argv);
-
270 }
-
271 catch (const std::runtime_error &err)
-
272 {
-
273 std::cerr << err.what() << std::endl;
-
274 std::cout << arser;
-
275 return 255;
-
276 }
-
277
-
278 {
-
279 // only one of qdqw, qwmm, rq, fq, cq, fake_quant, qw option can be used
-
280 int32_t opt_used = arser[qdqw] ? 1 : 0;
-
281 opt_used += arser[qwmm] ? 1 : 0;
-
282 opt_used += arser[rq] ? 1 : 0;
-
283 opt_used += arser[fq] ? 1 : 0;
-
284 opt_used += arser[cq] ? 1 : 0;
-
285 opt_used += arser[fake_quant] ? 1 : 0;
-
286 opt_used += arser[qw] ? 1 : 0;
-
287 if (opt_used != 1)
-
288 {
- -
290 return 255;
-
291 }
-
292 }
-
293
-
294 if (arser.get<bool>("--verbose"))
-
295 {
-
296 // The third parameter of setenv means REPLACE.
-
297 // If REPLACE is zero, it does not overwrite an existing value.
-
298 setenv("LUCI_LOG", "100", 0);
-
299 }
-
300
-
301 if (arser[qdqw])
-
302 {
-
303 auto values = arser.get<std::vector<std::string>>(qdqw);
-
304 if (values.size() != 3)
-
305 {
-
306 std::cerr << arser;
-
307 return 255;
-
308 }
-
309 options->enable(Algorithms::QuantizeDequantizeWeights);
-
310
-
311 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
-
312 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
-
313 options->param(AlgorithmParameters::Quantize_granularity, values.at(2));
-
314
-
315 if (arser[cfg])
-
316 {
-
317 auto filename = arser.get<std::string>(cfg);
-
318 try
-
319 {
-
320 auto layer_params = read_layer_params(filename);
-
321
-
322 options->layer_params(AlgorithmParameters::Quantize_layer_params, layer_params);
-
323
-
324 auto layer_params_set = read_layer_params_set(filename);
-
325
-
326 options->layer_params_set(layer_params_set);
-
327 }
-
328 catch (const std::runtime_error &e)
-
329 {
-
330 std::cerr << e.what() << '\n';
-
331 return 255;
-
332 }
-
333 }
-
334 }
-
335
-
336 if (arser[qwmm])
-
337 {
-
338 auto values = arser.get<std::vector<std::string>>(qwmm);
-
339 if (values.size() != 3)
-
340 {
-
341 std::cerr << arser;
-
342 return 255;
-
343 }
-
344 options->enable(Algorithms::QuantizeWithMinMax);
-
345
-
346 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
-
347 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
-
348 options->param(AlgorithmParameters::Quantize_granularity, values.at(2));
-
349
-
350 if (arser["--input_type"])
-
351 options->param(AlgorithmParameters::Quantize_input_type,
-
352 arser.get<std::string>("--input_type"));
-
353
-
354 if (arser["--output_type"])
-
355 options->param(AlgorithmParameters::Quantize_output_type,
-
356 arser.get<std::string>("--output_type"));
-
357
-
358 if (arser[tf_maxpool] and arser.get<bool>(tf_maxpool))
-
359 options->param(AlgorithmParameters::Quantize_TF_style_maxpool, "True");
-
360
-
361 if (arser[save_min_max] and arser.get<bool>(save_min_max))
-
362 options->param(AlgorithmParameters::Quantize_save_min_max, "True");
+
264 arser.add_argument(cfg).help("Path to the quantization configuration file");
+
265
+
266 arser.add_argument("input").help("Input circle model");
+
267 arser.add_argument("output").help("Output circle model");
+
268
+
269 arser.add_argument(gpd).nargs(0).required(false).default_value(false).help(
+
270 "This will turn on profiling data generation.");
+
271
+
272 try
+
273 {
+
274 arser.parse(argc, argv);
+
275 }
+
276 catch (const std::runtime_error &err)
+
277 {
+
278 std::cerr << err.what() << std::endl;
+
279 std::cout << arser;
+
280 return 255;
+
281 }
+
282
+
283 {
+
284 // only one of qdqw, qwmm, rq, fq, cq, fake_quant, qw, qofm option can be used
+
285 int32_t opt_used = arser[qdqw] ? 1 : 0;
+
286 opt_used += arser[qwmm] ? 1 : 0;
+
287 opt_used += arser[rq] ? 1 : 0;
+
288 opt_used += arser[fq] ? 1 : 0;
+
289 opt_used += arser[cq] ? 1 : 0;
+
290 opt_used += arser[fake_quant] ? 1 : 0;
+
291 opt_used += arser[qw] ? 1 : 0;
+
292 opt_used += arser.get<bool>(qofm) ? 1 : 0;
+
293 if (opt_used != 1)
+
294 {
+ +
296 return 255;
+
297 }
+
298 }
+
299
+
300 if (arser.get<bool>("--verbose"))
+
301 {
+
302 // The third parameter of setenv means REPLACE.
+
303 // If REPLACE is zero, it does not overwrite an existing value.
+
304 setenv("LUCI_LOG", "100", 0);
+
305 }
+
306
+
307 if (arser[qdqw])
+
308 {
+
309 auto values = arser.get<std::vector<std::string>>(qdqw);
+
310 if (values.size() != 3)
+
311 {
+
312 std::cerr << arser;
+
313 return 255;
+
314 }
+
315 options->enable(Algorithms::QuantizeDequantizeWeights);
+
316
+
317 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
+
318 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
+
319 options->param(AlgorithmParameters::Quantize_granularity, values.at(2));
+
320
+
321 if (arser[cfg])
+
322 {
+
323 auto filename = arser.get<std::string>(cfg);
+
324 try
+
325 {
+
326 auto layer_params = read_layer_params(filename);
+
327
+
328 options->layer_params(AlgorithmParameters::Quantize_layer_params, layer_params);
+
329
+
330 auto layer_params_set = read_layer_params_set(filename);
+
331
+
332 options->layer_params_set(layer_params_set);
+
333 }
+
334 catch (const std::runtime_error &e)
+
335 {
+
336 std::cerr << e.what() << '\n';
+
337 return 255;
+
338 }
+
339 }
+
340 }
+
341
+
342 if (arser[qwmm])
+
343 {
+
344 auto values = arser.get<std::vector<std::string>>(qwmm);
+
345 if (values.size() != 3)
+
346 {
+
347 std::cerr << arser;
+
348 return 255;
+
349 }
+
350 options->enable(Algorithms::QuantizeWithMinMax);
+
351
+
352 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
+
353 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
+
354 options->param(AlgorithmParameters::Quantize_granularity, values.at(2));
+
355
+
356 if (arser["--input_type"])
+
357 options->param(AlgorithmParameters::Quantize_input_type,
+
358 arser.get<std::string>("--input_type"));
+
359
+
360 if (arser["--output_type"])
+
361 options->param(AlgorithmParameters::Quantize_output_type,
+
362 arser.get<std::string>("--output_type"));
363
-
364 if (arser[cfg])
-
365 {
-
366 auto filename = arser.get<std::string>(cfg);
-
367 try
-
368 {
-
369 auto layer_params = read_layer_params(filename);
-
370
-
371 options->layer_params(AlgorithmParameters::Quantize_layer_params, layer_params);
-
372
-
373 auto layer_params_set = read_layer_params_set(filename);
-
374
-
375 options->layer_params_set(layer_params_set);
-
376 }
-
377 catch (const std::runtime_error &e)
-
378 {
-
379 std::cerr << e.what() << '\n';
-
380 return 255;
-
381 }
-
382 }
-
383 }
-
384
-
385 if (arser[rq])
-
386 {
-
387 auto values = arser.get<std::vector<std::string>>(rq);
-
388 if (values.size() != 2)
-
389 {
-
390 std::cerr << arser;
-
391 return 255;
-
392 }
-
393 options->enable(Algorithms::Requantize);
+
364 if (arser[tf_maxpool] and arser.get<bool>(tf_maxpool))
+
365 options->param(AlgorithmParameters::Quantize_TF_style_maxpool, "True");
+
366
+
367 if (arser[save_min_max] and arser.get<bool>(save_min_max))
+
368 options->param(AlgorithmParameters::Quantize_save_min_max, "True");
+
369
+
370 if (arser[cfg])
+
371 {
+
372 auto filename = arser.get<std::string>(cfg);
+
373 try
+
374 {
+
375 auto layer_params = read_layer_params(filename);
+
376
+
377 options->layer_params(AlgorithmParameters::Quantize_layer_params, layer_params);
+
378
+
379 auto layer_params_set = read_layer_params_set(filename);
+
380
+
381 options->layer_params_set(layer_params_set);
+
382 }
+
383 catch (const std::runtime_error &e)
+
384 {
+
385 std::cerr << e.what() << '\n';
+
386 return 255;
+
387 }
+
388 }
+
389 }
+
390
+
391 if (arser.get<bool>(qofm))
+
392 {
+
393 options->enable(Algorithms::QuantizeOnnxFakeQuantizedModel);
394
-
395 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
-
396 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
-
397 }
-
398
-
399 if (arser[fq])
-
400 {
-
401 auto values = arser.get<std::vector<std::vector<std::string>>>(fq);
-
402
-
403 std::vector<std::string> tensors;
-
404 std::vector<std::string> scales;
-
405 std::vector<std::string> zero_points;
-
406
-
407 for (auto const value : values)
-
408 {
-
409 if (value.size() != 3)
-
410 {
-
411 std::cerr << arser;
-
412 return 255;
-
413 }
-
414
-
415 tensors.push_back(value[0]);
-
416 scales.push_back(value[1]);
-
417 zero_points.push_back(value[2]);
-
418 }
+
395 options->param(AlgorithmParameters::Quantize_input_model_dtype, "onnx_fake_quant");
+
396 }
+
397
+
398 if (arser[rq])
+
399 {
+
400 auto values = arser.get<std::vector<std::string>>(rq);
+
401 if (values.size() != 2)
+
402 {
+
403 std::cerr << arser;
+
404 return 255;
+
405 }
+
406 options->enable(Algorithms::Requantize);
+
407
+
408 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
+
409 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
+
410 }
+
411
+
412 if (arser[fq])
+
413 {
+
414 auto values = arser.get<std::vector<std::vector<std::string>>>(fq);
+
415
+
416 std::vector<std::string> tensors;
+
417 std::vector<std::string> scales;
+
418 std::vector<std::string> zero_points;
419
-
420 options->enable(Algorithms::ForceQuantParam);
-
421
-
422 options->params(AlgorithmParameters::Quantize_tensor_names, tensors);
-
423 options->params(AlgorithmParameters::Quantize_scales, scales);
-
424 options->params(AlgorithmParameters::Quantize_zero_points, zero_points);
-
425 }
-
426
-
427 if (arser[cq])
-
428 {
-
429 auto values = arser.get<std::vector<std::vector<std::string>>>(cq);
-
430
-
431 std::vector<std::string> src;
-
432 std::vector<std::string> dst;
-
433
-
434 for (auto const value : values)
-
435 {
-
436 if (value.size() != 2)
-
437 {
-
438 std::cerr << arser;
-
439 return 255;
-
440 }
-
441
-
442 src.push_back(value[0]);
-
443 dst.push_back(value[1]);
-
444 }
-
445
-
446 options->enable(Algorithms::CopyQuantParam);
-
447
-
448 options->params(AlgorithmParameters::Quantize_src_tensor_names, src);
-
449 options->params(AlgorithmParameters::Quantize_dst_tensor_names, dst);
-
450 }
-
451
-
452 if (arser[fake_quant])
-
453 options->enable(Algorithms::ConvertToFakeQuantizedModel);
+
420 for (auto const value : values)
+
421 {
+
422 if (value.size() != 3)
+
423 {
+
424 std::cerr << arser;
+
425 return 255;
+
426 }
+
427
+
428 tensors.push_back(value[0]);
+
429 scales.push_back(value[1]);
+
430 zero_points.push_back(value[2]);
+
431 }
+
432
+
433 options->enable(Algorithms::ForceQuantParam);
+
434
+
435 options->params(AlgorithmParameters::Quantize_tensor_names, tensors);
+
436 options->params(AlgorithmParameters::Quantize_scales, scales);
+
437 options->params(AlgorithmParameters::Quantize_zero_points, zero_points);
+
438 }
+
439
+
440 if (arser[cq])
+
441 {
+
442 auto values = arser.get<std::vector<std::vector<std::string>>>(cq);
+
443
+
444 std::vector<std::string> src;
+
445 std::vector<std::string> dst;
+
446
+
447 for (auto const value : values)
+
448 {
+
449 if (value.size() != 2)
+
450 {
+
451 std::cerr << arser;
+
452 return 255;
+
453 }
454
-
455 if (arser[qw])
-
456 {
-
457 auto values = arser.get<std::vector<std::string>>(qw);
-
458 if (values.size() != 3)
-
459 {
-
460 std::cerr << arser;
-
461 return 255;
-
462 }
-
463 options->enable(Algorithms::QuantizeWeights);
+
455 src.push_back(value[0]);
+
456 dst.push_back(value[1]);
+
457 }
+
458
+
459 options->enable(Algorithms::CopyQuantParam);
+
460
+
461 options->params(AlgorithmParameters::Quantize_src_tensor_names, src);
+
462 options->params(AlgorithmParameters::Quantize_dst_tensor_names, dst);
+
463 }
464
-
465 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
-
466 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
-
467 options->param(AlgorithmParameters::Quantize_granularity, values.at(2));
-
468 }
-
469
-
470 std::string input_path = arser.get<std::string>("input");
-
471 std::string output_path = arser.get<std::string>("output");
-
472
-
473 if (arser[gpd])
- -
475
-
476 // Load model from the file
-
477 luci::ImporterEx importerex;
-
478 auto module = importerex.importVerifyModule(input_path);
-
479 if (module.get() == nullptr)
-
480 return EXIT_FAILURE;
-
481
-
482 for (size_t idx = 0; idx < module->size(); ++idx)
-
483 {
-
484 auto graph = module->graph(idx);
+
465 if (arser[fake_quant])
+
466 options->enable(Algorithms::ConvertToFakeQuantizedModel);
+
467
+
468 if (arser[qw])
+
469 {
+
470 auto values = arser.get<std::vector<std::string>>(qw);
+
471 if (values.size() != 3)
+
472 {
+
473 std::cerr << arser;
+
474 return 255;
+
475 }
+
476 options->enable(Algorithms::QuantizeWeights);
+
477
+
478 options->param(AlgorithmParameters::Quantize_input_model_dtype, values.at(0));
+
479 options->param(AlgorithmParameters::Quantize_output_model_dtype, values.at(1));
+
480 options->param(AlgorithmParameters::Quantize_granularity, values.at(2));
+
481 }
+
482
+
483 std::string input_path = arser.get<std::string>("input");
+
484 std::string output_path = arser.get<std::string>("output");
485
-
486 // quantize the graph
-
487 quantizer.quantize(graph);
+
486 if (arser[gpd])
+
488
-
489 if (!luci::validate(graph))
-
490 {
-
491 std::cerr << "ERROR: Quantized graph is invalid" << std::endl;
-
492 return 255;
-
493 }
-
494 }
-
495
-
496 // Export to output Circle file
-
497 luci::CircleExporter exporter;
+
489 // Load model from the file
+
490 luci::ImporterEx importerex;
+
491 auto module = importerex.importVerifyModule(input_path);
+
492 if (module.get() == nullptr)
+
493 return EXIT_FAILURE;
+
494
+
495 for (size_t idx = 0; idx < module->size(); ++idx)
+
496 {
+
497 auto graph = module->graph(idx);
498
-
499 luci::CircleFileExpContract contract(module.get(), output_path);
-
500
-
501 if (!exporter.invoke(&contract))
-
502 {
-
503 std::cerr << "ERROR: Failed to export '" << output_path << "'" << std::endl;
-
504 return 255;
-
505 }
-
506
-
507 return 0;
-
508}
+
499 // quantize the graph
+
500 quantizer.quantize(graph);
+
501
+
502 if (!luci::validate(graph))
+
503 {
+
504 std::cerr << "ERROR: Quantized graph is invalid" << std::endl;
+
505 return 255;
+
506 }
+
507 }
+
508
+
509 // Export to output Circle file
+
510 luci::CircleExporter exporter;
+
511
+
512 luci::CircleFileExpContract contract(module.get(), output_path);
+
513
+
514 if (!exporter.invoke(&contract))
+
515 {
+
516 std::cerr << "ERROR: Failed to export '" << output_path << "'" << std::endl;
+
517 return 255;
+
518 }
+
519
+
520 return 0;
+
521}
@@ -627,10 +640,10 @@ -
int entry(int argc, char **argv)
+
int entry(int argc, char **argv)
void print_exclusive_options(void)
LayerParams read_layer_params(std::string &filename)
-
void print_version(void)
+
void print_version(void)
LayerParamsSet read_layer_params_set(std::string &filename)
static void add_version(Arser &arser, const std::function< void(void)> &func)
Definition arser.h:733
diff --git a/circlechef_2core_2src_2_convert_8cpp.html b/circlechef_2core_2src_2_convert_8cpp.html index 548313c16e6..b79469059a1 100644 --- a/circlechef_2core_2src_2_convert_8cpp.html +++ b/circlechef_2core_2src_2_convert_8cpp.html @@ -142,7 +142,7 @@

50 throw std::runtime_error{"Unknown activation"};

51}
-

Referenced by BCQFullyConnectedChef::value(), GRUChef::value(), and InstanceNormChef::value().

+

Referenced by BCQFullyConnectedChef::value(), FullyConnectedChef::value(), GRUChef::value(), and InstanceNormChef::value().

@@ -201,22 +201,22 @@

56 {
57 case circlechef::FLOAT32:
58 return circle::TensorType_FLOAT32;
-
59 case circlechef::INT32:
-
60 return circle::TensorType_INT32;
-
61 case circlechef::UINT8:
-
62 return circle::TensorType_UINT8;
-
63 case circlechef::UINT4:
-
64 return circle::TensorType_UINT4;
-
65 case circlechef::INT64:
-
66 return circle::TensorType_INT64;
-
67 case circlechef::STRING:
-
68 return circle::TensorType_STRING;
-
69 case circlechef::BOOL:
-
70 return circle::TensorType_BOOL;
-
71 case circlechef::INT16:
-
72 return circle::TensorType_INT16;
-
73 case circlechef::INT4:
-
74 return circle::TensorType_INT4;
+
59 case circlechef::INT64:
+
60 return circle::TensorType_INT64;
+
61 case circlechef::INT32:
+
62 return circle::TensorType_INT32;
+
63 case circlechef::INT16:
+
64 return circle::TensorType_INT16;
+
65 case circlechef::INT4:
+
66 return circle::TensorType_INT4;
+
67 case circlechef::UINT8:
+
68 return circle::TensorType_UINT8;
+
69 case circlechef::UINT4:
+
70 return circle::TensorType_UINT4;
+
71 case circlechef::STRING:
+
72 return circle::TensorType_STRING;
+
73 case circlechef::BOOL:
+
74 return circle::TensorType_BOOL;
75 default:
76 break;
77 }
diff --git a/circlechef_2core_2src_2_convert_8cpp_source.html b/circlechef_2core_2src_2_convert_8cpp_source.html index e245dbf7be3..a073b948a54 100644 --- a/circlechef_2core_2src_2_convert_8cpp_source.html +++ b/circlechef_2core_2src_2_convert_8cpp_source.html @@ -160,22 +160,22 @@
56 {
57 case circlechef::FLOAT32:
58 return circle::TensorType_FLOAT32;
-
59 case circlechef::INT32:
-
60 return circle::TensorType_INT32;
-
61 case circlechef::UINT8:
-
62 return circle::TensorType_UINT8;
-
63 case circlechef::UINT4:
-
64 return circle::TensorType_UINT4;
-
65 case circlechef::INT64:
-
66 return circle::TensorType_INT64;
-
67 case circlechef::STRING:
-
68 return circle::TensorType_STRING;
-
69 case circlechef::BOOL:
-
70 return circle::TensorType_BOOL;
-
71 case circlechef::INT16:
-
72 return circle::TensorType_INT16;
-
73 case circlechef::INT4:
-
74 return circle::TensorType_INT4;
+
59 case circlechef::INT64:
+
60 return circle::TensorType_INT64;
+
61 case circlechef::INT32:
+
62 return circle::TensorType_INT32;
+
63 case circlechef::INT16:
+
64 return circle::TensorType_INT16;
+
65 case circlechef::INT4:
+
66 return circle::TensorType_INT4;
+
67 case circlechef::UINT8:
+
68 return circle::TensorType_UINT8;
+
69 case circlechef::UINT4:
+
70 return circle::TensorType_UINT4;
+
71 case circlechef::STRING:
+
72 return circle::TensorType_STRING;
+
73 case circlechef::BOOL:
+
74 return circle::TensorType_BOOL;
75 default:
76 break;
77 }
diff --git a/circlechef_2core_2src_2_op_chefs_8h.html b/circlechef_2core_2src_2_op_chefs_8h.html index 93768b92ffc..c2b198980fb 100644 --- a/circlechef_2core_2src_2_op_chefs_8h.html +++ b/circlechef_2core_2src_2_op_chefs_8h.html @@ -95,6 +95,7 @@
#include "Op/BatchMatMul.h"
#include "Op/BCQFullyConnected.h"
#include "Op/BCQGather.h"
+#include "Op/FullyConnected.h"
#include "Op/GRU.h"
#include "Op/InstanceNorm.h"
diff --git a/circlechef_2core_2src_2_op_chefs_8h_source.html b/circlechef_2core_2src_2_op_chefs_8h_source.html index a0a829ccbf0..11354353bb5 100644 --- a/circlechef_2core_2src_2_op_chefs_8h_source.html +++ b/circlechef_2core_2src_2_op_chefs_8h_source.html @@ -119,10 +119,11 @@
20#include "Op/BatchMatMul.h"
21#include "Op/BCQFullyConnected.h"
22#include "Op/BCQGather.h"
-
23#include "Op/GRU.h"
-
24#include "Op/InstanceNorm.h"
-
25
-
26#endif // __OP_CHEFS_H__
+
23#include "Op/FullyConnected.h"
+
24#include "Op/GRU.h"
+
25#include "Op/InstanceNorm.h"
+
26
+
27#endif // __OP_CHEFS_H__
diff --git a/class_conv2_d_chef.html b/class_conv2_d_chef.html index b8e89d538a8..889a106f293 100644 --- a/class_conv2_d_chef.html +++ b/class_conv2_d_chef.html @@ -252,7 +252,7 @@

OpChef.

-

Definition at line 22 of file Conv2D.cpp.

+

Definition at line 22 of file Conv2D.cpp.

23{
24 auto &operation = (*_operation);
25
@@ -284,7 +284,7 @@

Conv2D.h -
  • compiler/tflchef/core/src/Op/Conv2D.cpp
  • +
  • compiler/tflchef/core/src/Op/Conv2D.cpp
  • diff --git a/class_dot_builder_1_1_dot_builder.html b/class_dot_builder_1_1_dot_builder.html index aab2ecd8e13..94c3f551da2 100644 --- a/class_dot_builder_1_1_dot_builder.html +++ b/class_dot_builder_1_1_dot_builder.html @@ -412,7 +412,7 @@

    164
    165 DOT.write(self._dot_path)
    -

    References DotBuilder.DotBuilder._dot_path, DotBuilder.DotBuilder._gen_color_table(), DotBuilder.DotBuilder._get_color(), mpqsolver::core::DatasetEvaluator._metric, DotBuilder.DotBuilder._metric, SingleOperatorTest.SingleOperatorTest._model, ScalarOperandDecl._model, TensorOperandDecl._model, WeightDecl._model, OperationDecl._model, luci::CircleReader._model, mir_onnx::ONNXImporterImpl._model, mir_tflite::TfliteImporter._model, GenericBackend._model, onnx_legalizer._ModelTransformerHelper._model, DotBuilder.DotBuilder._model, luci_interpreter::CircleReader._model, onert_micro::core::reader::OMCircleReader._model, RuntimeImpl._model, ANeuralNetworksCompilation._model, onert::compiler::Compiler._model, onert::compiler::train::TrainingCompiler._model, onert::loader::BaseLoader< LoaderDomain >._model, cli::App._name, coco::Arg._name, enco::Pass._name, TFLTensorInfo._name, loco::NamedEntity._name, locoex::COpCall._name, locop::NodeDesc._name, luci_interpreter::Tensor._name, CircleTensorInfo._name, luci::SubGraphContext._name, luci::CircleNode._name, UnrollLSTM._name, luci::CircleNodeOrigin::Source._name, mir::Operation::Output._name, TFReluGraphUpdate._name, TFRelu6GraphUpdate._name, TFRsqrtGraphUpdate._name, TFSqrtGraphUpdate._name, TFStopGradientGraphUpdate._name, TFTanhGraphUpdate._name, moco::TFNode._name, moco::TensorName._name, nnc::ArtifactNamed._name, nnc::ArtifactModule._name, DotBuilder.DotBuilder._name, DotBuilder._quote(), and DotBuilder._tensor_name().

    +

    References DotBuilder.DotBuilder._dot_path, DotBuilder.DotBuilder._gen_color_table(), DotBuilder.DotBuilder._get_color(), mpqsolver::core::DatasetEvaluator._metric, DotBuilder.DotBuilder._metric, SingleOperatorTest.SingleOperatorTest._model, ScalarOperandDecl._model, TensorOperandDecl._model, WeightDecl._model, OperationDecl._model, luci::CircleReader._model, mir_onnx::ONNXImporterImpl._model, mir_tflite::TfliteImporter._model, GenericBackend._model, onnx_legalizer._ModelTransformerHelper._model, DotBuilder.DotBuilder._model, luci_interpreter::CircleReader._model, onert_micro::core::reader::OMCircleReader._model, RuntimeImpl._model, ANeuralNetworksCompilation._model, onert::compiler::Compiler._model, onert::compiler::train::TrainingCompiler._model, onert::loader::BaseLoader< LoaderDomain >._model, cli::App._name, coco::Arg._name, enco::Pass._name, TFLTensorInfo._name, loco::NamedEntity._name, locoex::COpCall._name, locop::NodeDesc._name, luci_interpreter::Tensor._name, CircleTensorInfo._name, luci::SubGraphContext._name, luci::CircleNode._name, UnrollLSTM._name, luci::CircleNodeOrigin::Source._name, mir::Operation::Output._name, TFReluGraphUpdate._name, TFRelu6GraphUpdate._name, TFRsqrtGraphUpdate._name, TFSqrtGraphUpdate._name, TFStopGradientGraphUpdate._name, TFTanhGraphUpdate._name, moco::TFNode._name, moco::TensorName._name, nnc::ArtifactNamed._name, nnc::ArtifactModule._name, DotBuilder.DotBuilder._name, DotBuilder._quote(), and DotBuilder._tensor_name().

    diff --git a/class_e_l_u_chef.html b/class_e_l_u_chef.html index 2004a61d7ff..25f1aeb2969 100644 --- a/class_e_l_u_chef.html +++ b/class_e_l_u_chef.html @@ -252,7 +252,7 @@

    OpChef.

    -

    Definition at line 19 of file ELU.cpp.

    +

    Definition at line 19 of file ELU.cpp.

    20{
    22}
    @@ -262,7 +262,7 @@

    ELU.h -
  • compiler/tflchef/core/src/Op/ELU.cpp
  • +
  • compiler/tflchef/core/src/Op/ELU.cpp
  • diff --git a/class_fully_connected_chef.html b/class_fully_connected_chef.html index 8f018621f1c..5162650e634 100644 --- a/class_fully_connected_chef.html +++ b/class_fully_connected_chef.html @@ -95,7 +95,7 @@
    -

    #include <FullyConnected.h>

    +

    #include <FullyConnected.h>

    Collaboration diagram for FullyConnectedChef:
    @@ -103,12 +103,21 @@ - + +
    [legend]

    Functions

    + + + + + + + + @@ -129,10 +138,42 @@

    Public Member Functions

     FullyConnectedChef (const circlechef::Operation *operation)
     
    circle::BuiltinOperator code (void) const override
     
    circle::BuiltinOptions type (void) const override
     
    flatbuffers::Offset< void > value (flatbuffers::FlatBufferBuilder &fbb) const override
     
     FullyConnectedChef (const tflchef::Operation *operation)
     
    tflite::BuiltinOperator code (void) const override

    Detailed Description

    -

    Definition at line 22 of file FullyConnected.h.

    +

    Definition at line 22 of file FullyConnected.h.

    Constructor & Destructor Documentation

    + +

    ◆ FullyConnectedChef() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    FullyConnectedChef::FullyConnectedChef (const circlechef::Operation * operation)
    +
    +inlineexplicit
    +
    + +

    Definition at line 25 of file FullyConnected.h.

    +
    25 : _operation{operation}
    +
    26 {
    +
    27 // DO NOTHING
    +
    28 }
    +
    +
    +
    -

    ◆ FullyConnectedChef()

    +

    ◆ FullyConnectedChef() [2/2]

    @@ -164,8 +205,41 @@

    Member Function Documentation

    + +

    ◆ code() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    circle::BuiltinOperator FullyConnectedChef::code (void ) const
    +
    +inlineoverridevirtual
    +
    + +

    Implements OpChef.

    + +

    Definition at line 31 of file FullyConnected.h.

    +
    32 {
    +
    33 return circle::BuiltinOperator_FULLY_CONNECTED;
    +
    34 }
    +
    +
    +
    -

    ◆ code()

    +

    ◆ code() [2/2]

    @@ -197,8 +271,41 @@

    +

    ◆ type() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    circle::BuiltinOptions FullyConnectedChef::type (void ) const
    +
    +inlineoverridevirtual
    +
    + +

    Implements OpChef.

    + +

    Definition at line 36 of file FullyConnected.h.

    +
    37 {
    +
    38 return circle::BuiltinOptions_FullyConnectedOptions;
    +
    39 }
    +
    +
    +
    -

    ◆ type()

    +

    ◆ type() [2/2]

    @@ -231,7 +338,7 @@

    -

    ◆ value()

    +

    ◆ value() [1/2]

    @@ -256,29 +363,59 @@

    OpChef.

    -

    Definition at line 22 of file FullyConnected.cpp.

    +

    Definition at line 22 of file FullyConnected.cpp.

    23{
    24 auto &operation = (*_operation);
    25
    26 assert(operation.has_fullyconnected_options());
    27
    -
    28 auto tflite_activation = as_tflite_activation(operation.fullyconnected_options().activation());
    +
    28 auto circle_activation = as_circle_activation(operation.fullyconnected_options().activation());
    29
    -
    30 tflite::FullyConnectedOptionsBuilder fc_options_builder{fbb};
    -
    31 fc_options_builder.add_fused_activation_function(tflite_activation);
    +
    30 circle::FullyConnectedOptionsBuilder fc_options_builder{fbb};
    +
    31 fc_options_builder.add_fused_activation_function(circle_activation);
    32 fc_options_builder.add_keep_num_dims(operation.fullyconnected_options().keep_num_dims());
    33
    34 return fc_options_builder.Finish().Union();
    35}
    +
    circle::ActivationFunctionType as_circle_activation(const circlechef::Activation &value)
    Definition Convert.cpp:36
    void Finish(Offset< T > root, const char *file_identifier=nullptr)
    Finish serializing a buffer by writing the root offset.
    -
    tflite::ActivationFunctionType as_tflite_activation(const tflchef::Activation &value)
    Definition Convert.cpp:37
    -

    References as_tflite_activation(), and flatbuffers::FlatBufferBuilder::Finish().

    +

    References as_circle_activation(), and flatbuffers::FlatBufferBuilder::Finish().

    + +

    +
    + +

    ◆ value() [2/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    flatbuffers::Offset< void > FullyConnectedChef::value (flatbuffers::FlatBufferBuilderfbb) const
    +
    +overridevirtual
    +
    + +

    Implements OpChef.


    The documentation for this class was generated from the following files:

    diff --git a/class_fully_connected_chef.js b/class_fully_connected_chef.js index 2ddb77e28c8..75cf161e625 100644 --- a/class_fully_connected_chef.js +++ b/class_fully_connected_chef.js @@ -1,7 +1,11 @@ var class_fully_connected_chef = [ + [ "FullyConnectedChef", "class_fully_connected_chef.html#aed62b68040a2bd922988de021e5e6e26", null ], [ "FullyConnectedChef", "class_fully_connected_chef.html#a6b4fa40f7e6d09dcfad30a78e422d1c6", null ], + [ "code", "class_fully_connected_chef.html#a8911794c0666ca38eee70d56057d6b91", null ], [ "code", "class_fully_connected_chef.html#a1566dc7d7f00279e8ac9348f5213a6d2", null ], + [ "type", "class_fully_connected_chef.html#acae4bb910dfa62bbe22d507510c00505", null ], [ "type", "class_fully_connected_chef.html#a106ae9584012c83b7cf5465ac65f9496", null ], + [ "value", "class_fully_connected_chef.html#a6fe79310bce13a75f00b7aaa0e09f88a", null ], [ "value", "class_fully_connected_chef.html#a6fe79310bce13a75f00b7aaa0e09f88a", null ] ]; \ No newline at end of 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zI=Av!yIVHhI``t@qUVd)lk}Bj?pr3mf#$bSdic=ba973@A;K)AoCEG$n6c~iReferences coco::InstrManager::create(), coco::Module::entity(), coco::Copy::from(), and coco::EntityManager::instr().

    -

    Referenced by tflimport::ConcatenationGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    +

    Referenced by tflimport::ConcatenationGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    @@ -289,7 +289,7 @@

    References coco::InstrManager::create(), coco::Module::entity(), coco::EntityManager::instr(), and coco::Eval::op().

    -

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConcatBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), caffeimport::ReLUBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    +

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConcatBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), caffeimport::ReLUBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    diff --git a/class_leaky_relu_chef.html b/class_leaky_relu_chef.html index ac4f33d48c2..80e98e18d56 100644 --- a/class_leaky_relu_chef.html +++ b/class_leaky_relu_chef.html @@ -254,7 +254,7 @@

    OpChef.

    -

    Definition at line 19 of file LeakyRelu.cpp.

    +

    Definition at line 19 of file LeakyRelu.cpp.

    20{
    21 assert(_operation->has_leaky_relu_options());
    22
    @@ -274,7 +274,7 @@

    LeakyRelu.h -
  • compiler/tflchef/core/src/Op/LeakyRelu.cpp
  • +
  • compiler/tflchef/core/src/Op/LeakyRelu.cpp
  • diff --git a/class_n_n_a_p_i_convert.html b/class_n_n_a_p_i_convert.html index 6fa757c65ff..599984c6907 100644 --- a/class_n_n_a_p_i_convert.html +++ b/class_n_n_a_p_i_convert.html @@ -170,7 +170,7 @@

    References getDataType(), getShape(), and onert::ir::sizeOfDataType().

    -

    Referenced by ANeuralNetworksExecution_setInput(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    +

    Referenced by ANeuralNetworksExecution_setInput(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    diff --git a/class_op_builder.html b/class_op_builder.html index f962cad02ab..e931a03b032 100644 --- a/class_op_builder.html +++ b/class_op_builder.html @@ -254,7 +254,7 @@

    Definition at line 84 of file IRBuilder.h.

    84{ return binary<coco::Add>(); }
    -

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::EltwiseBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    +

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::EltwiseBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    @@ -429,7 +429,7 @@

    References coco::OpManager::create(), coco::Module::entity(), coco::Load::object(), coco::EntityManager::op(), and push().

    -

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConcatBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), caffeimport::ReLUBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    +

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConcatBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), caffeimport::ReLUBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    @@ -573,7 +573,7 @@

    121 return op;
    122 }
    -

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConcatBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), caffeimport::ReLUBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    +

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConcatBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::EltwiseBuilder::build(), caffeimport::PoolingBuilder::build(), caffeimport::ReLUBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    diff --git a/class_re_l_u6_chef.html b/class_re_l_u6_chef.html index 0f64a3faa80..4d1edfeab94 100644 --- a/class_re_l_u6_chef.html +++ b/class_re_l_u6_chef.html @@ -252,7 +252,7 @@

    OpChef.

    -

    Definition at line 19 of file ReLU6.cpp.

    +

    Definition at line 19 of file ReLU6.cpp.

    20{
    22}
    @@ -262,7 +262,7 @@

    ReLU6.h -
  • compiler/tflchef/core/src/Op/ReLU6.cpp
  • +
  • compiler/tflchef/core/src/Op/ReLU6.cpp
  • diff --git a/classcoco_1_1_block.html b/classcoco_1_1_block.html index 9987a7c2295..86a211d5e11 100644 --- a/classcoco_1_1_block.html +++ b/classcoco_1_1_block.html @@ -344,7 +344,7 @@

    Definition at line 65 of file Block.h.

    65{ return &_instr; }
    -

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::build_activation(), enco::HostBlockCompiler::compile(), and dump().

    +

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::build_activation(), enco::HostBlockCompiler::compile(), and dump().

    diff --git a/classcoco_1_1_conv2_d.html b/classcoco_1_1_conv2_d.html index f8871377abf..e55d154e881 100644 --- a/classcoco_1_1_conv2_d.html +++ b/classcoco_1_1_conv2_d.html @@ -225,7 +225,7 @@

    -

    Definition at line 24 of file Conv2D.cpp.

    +

    Definition at line 24 of file Conv2D.cpp.

    24 : _ker{this}, _arg{this}
    25{
    26 // DO NOTHING
    @@ -329,7 +329,7 @@

    References coco::Part::child().

    -

    Referenced by arg(), and uses().

    +

    Referenced by arg(), and uses().

    @@ -361,7 +361,7 @@

    coco::Op.

    -

    Definition at line 29 of file Conv2D.cpp.

    +

    Definition at line 29 of file Conv2D.cpp.

    30{
    31 // Conv2D has one argument (IFM)
    32 // NOTE This design is subject to change
    @@ -511,12 +511,12 @@

    -

    Definition at line 62 of file Conv2D.cpp.

    +

    Definition at line 62 of file Conv2D.cpp.

    62{ _ker.value(ker); }
    -
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    +
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    Object * value(void) const
    Definition Use.h:37
    -

    References ker(), and coco::Use::value().

    +

    References ker(), and coco::Use::value().

    @@ -536,7 +536,7 @@

    -

    Definition at line 64 of file Conv2D.cpp.

    +

    Definition at line 64 of file Conv2D.cpp.

    @@ -737,7 +737,7 @@

    coco::Op.

    -

    Definition at line 42 of file Conv2D.cpp.

    +

    Definition at line 42 of file Conv2D.cpp.

    43{
    44 std::set<Object *> res;
    45
    @@ -756,15 +756,15 @@

    58

    59 return res;
    60}
    -
    std::set< Object * > uses(void) const override
    Return a set of object(s) used during execution.
    Definition Conv2D.cpp:42
    +
    std::set< Object * > uses(void) const override
    Return a set of object(s) used during execution.
    Definition Conv2D.cpp:42
    -

    References arg(), and ker().

    +

    References arg(), and ker().


    The documentation for this class was generated from the following files: diff --git a/classcoco_1_1_d_linked_list_1_1_head.html b/classcoco_1_1_d_linked_list_1_1_head.html index b1638f58ca8..b9195714ad4 100644 --- a/classcoco_1_1_d_linked_list_1_1_head.html +++ b/classcoco_1_1_d_linked_list_1_1_head.html @@ -259,7 +259,7 @@

    References coco::DLinkedList< Child, Parent >::Head::empty(), and coco::DLinkedList< Child, Parent >::Head::enlist().

    -

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    +

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    diff --git a/classcoco_1_1_feature_layouts_1_1_b_c.html b/classcoco_1_1_feature_layouts_1_1_b_c.html index cf658137c1c..5bf2e22664a 100644 --- a/classcoco_1_1_feature_layouts_1_1_b_c.html +++ b/classcoco_1_1_feature_layouts_1_1_b_c.html @@ -253,7 +253,7 @@

    References shape().

    -

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    +

    Referenced by caffeimport::BatchNormBuilder::build(), caffeimport::ConvolutionBuilder::build(), caffeimport::ScaleBuilder::build(), tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    diff --git a/classcoco_1_1_feature_layouts_1_1_b_h_w_c.html b/classcoco_1_1_feature_layouts_1_1_b_h_w_c.html index d19b6136f0f..e0e569a645c 100644 --- a/classcoco_1_1_feature_layouts_1_1_b_h_w_c.html +++ b/classcoco_1_1_feature_layouts_1_1_b_h_w_c.html @@ -280,7 +280,7 @@

    References shape().

    -

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    +

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    diff --git a/classcoco_1_1_feature_object.html b/classcoco_1_1_feature_object.html index a208233e448..e44e4660141 100644 --- a/classcoco_1_1_feature_object.html +++ b/classcoco_1_1_feature_object.html @@ -368,7 +368,7 @@

    Definition at line 54 of file FeatureObject.h.

    54{ return _layout.get(); }
    -

    Referenced by caffeimport::ConcatBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), and tflimport::SubGraphBuilder::build().

    +

    Referenced by caffeimport::ConcatBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), and tflimport::SubGraphBuilder::build().

    diff --git a/classcoco_1_1_kernel_layouts_1_1_n_h_w_c.html b/classcoco_1_1_kernel_layouts_1_1_n_h_w_c.html index 27827a6f843..d70f9c94a12 100644 --- a/classcoco_1_1_kernel_layouts_1_1_n_h_w_c.html +++ b/classcoco_1_1_kernel_layouts_1_1_n_h_w_c.html @@ -227,7 +227,7 @@

    References shape().

    -

    Referenced by tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    +

    Referenced by tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    diff --git a/classcoco_1_1_object.html b/classcoco_1_1_object.html index 3d9763c21e2..2e2cfc02063 100644 --- a/classcoco_1_1_object.html +++ b/classcoco_1_1_object.html @@ -469,7 +469,7 @@

    References coco::Dep::bag().

    -

    Referenced by bag(), caffeimport::ConcatBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    +

    Referenced by bag(), caffeimport::ConcatBuilder::build(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::build_activation().

    diff --git a/classcoco_1_1_padding2_d.html b/classcoco_1_1_padding2_d.html index 8b65db944ba..603c80c8c47 100644 --- a/classcoco_1_1_padding2_d.html +++ b/classcoco_1_1_padding2_d.html @@ -265,7 +265,7 @@

    Definition at line 45 of file Padding2D.h.

    45{ return _bottom; }
    -

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and OpPrinter::visit().

    +

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and OpPrinter::visit().

    @@ -320,7 +320,7 @@

    Definition at line 49 of file Padding2D.h.

    49{ return _left; }
    -

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::get_padding(), enco::output_shape(), and OpPrinter::visit().

    +

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::get_padding(), enco::output_shape(), and OpPrinter::visit().

    @@ -375,7 +375,7 @@

    Definition at line 53 of file Padding2D.h.

    53{ return _right; }
    -

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and OpPrinter::visit().

    +

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and OpPrinter::visit().

    @@ -430,7 +430,7 @@

    Definition at line 41 of file Padding2D.h.

    41{ return _top; }
    -

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::get_padding(), and OpPrinter::visit().

    +

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::get_padding(), and OpPrinter::visit().

    diff --git a/classcoco_1_1_unary_op.html b/classcoco_1_1_unary_op.html index 32fa98add29..8d8f8c4a3aa 100644 --- a/classcoco_1_1_unary_op.html +++ b/classcoco_1_1_unary_op.html @@ -340,7 +340,7 @@

    coco::Op.

    -

    Referenced by tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::build_activation(), OpPrinter::visit(), OpPrinter::visit(), OpPrinter::visit(), OpPrinter::visit(), and OpPrinter::visit().

    +

    Referenced by tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::build_activation(), OpPrinter::visit(), OpPrinter::visit(), OpPrinter::visit(), OpPrinter::visit(), and OpPrinter::visit().

    diff --git a/classcoco_1_1_use.html b/classcoco_1_1_use.html index 0c736ad9a4d..a3ccf821779 100644 --- a/classcoco_1_1_use.html +++ b/classcoco_1_1_use.html @@ -273,7 +273,7 @@

    Definition at line 37 of file Use.h.

    37{ return _value; }
    -

    Referenced by ANNConv2D::bias(), ANNConv2D::bias(), coco::Copy::from(), coco::Copy::from(), ANNDepthConcatF::fst(), ANNDepthConcatF::fst(), ANNConv2D::ifm(), ANNConv2D::ifm(), ANNConv2D::ker(), coco::Conv2D::ker(), coco::Conv2D::ker(), ANNConv2D::ker(), coco::Load::object(), coco::Load::object(), ANNDepthConcatF::snd(), ANNDepthConcatF::snd(), value(), and ~Use().

    +

    Referenced by ANNConv2D::bias(), ANNConv2D::bias(), coco::Copy::from(), coco::Copy::from(), ANNDepthConcatF::fst(), ANNDepthConcatF::fst(), ANNConv2D::ifm(), ANNConv2D::ifm(), ANNConv2D::ker(), coco::Conv2D::ker(), coco::Conv2D::ker(), ANNConv2D::ker(), coco::Load::object(), coco::Load::object(), ANNDepthConcatF::snd(), ANNDepthConcatF::snd(), value(), and ~Use().

    diff --git a/classenco_1_1_cpp_code.html b/classenco_1_1_cpp_code.html index d6ca5c8ebc7..b9a1356c476 100644 --- a/classenco_1_1_cpp_code.html +++ b/classenco_1_1_cpp_code.html @@ -573,7 +573,7 @@

    lines
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    int32_t size[5]
    Definition Slice.cpp:35
    coco::Module * module(void) const
    Definition Code.h:37
    coco::Data * data(void) const
    Definition Code.h:38
    diff --git a/classes.html b/classes.html index e007790880f..8da3b9f46cf 100644 --- a/classes.html +++ b/classes.html @@ -135,7 +135,7 @@
    MAEMetric (mpqsolver::core)
    MAEPrinter (circle_eval_diff)
    make_unsigned (flatbuffers)
    MakeBatchNormGammaPositivePass (luci)
    ManualScheduler (onert::compiler)
    ManualSchedulerOptions (onert::compiler)
    Map (flexbuffers)
    MAPEPrinter (circle_eval_diff)
    MappedMemory
    TensorBroadcast::Mapping (loco)
    MatMul (loco)
    MatMulBCast (nnfw::cker)
    MatMulChef
    MatMulChefFactory
    MatMulConverter (exo)
    MatMulConvFunctor (nnfw::cker::eigen_support)
    MatrixBandPart (onert::ir::operation)
    MatrixBandPartChef
    MatrixBandPartChefFactory
    MatrixBandPartLayer (onert::backend::cpu::ops)
    MatrixDecode (loco)
    MatrixDecoder (loco)
    MatrixDiagChef
    MatrixDiagChefFactory
    MatrixEncode (loco)
    MatrixEncoder (loco)
    MatrixIndex (loco)
    MatrixParams (nnfw::cker)
    MatrixParams (nnfw::ruy)
    MatrixSetDiagChef
    MatrixSetDiagChefFactory
    MatrixShape (loco)
    MaxImpl (mir_interpreter)
    MaxImpl< uint8_t > (mir_interpreter)
    Maximum (luci_interpreter::kernels)
    MaximumCanonicalizer (moco::tf)
    MaximumChef
    MaximumChefFactory
    MaximumFn (luci_interpreter_pal)
    MaximumGraphBuilder (moco)
    MaximumOp (nnfw::cker)
    MaxOp (mir::ops)
    MaxPool2D (luci_interpreter::kernels)
    MaxPool2D (loco)
    MaxPool2D (coco)
    MaxPool2D_000_Q8 (MaxPool2D_000)
    MaxPool2DChef
    MaxPool2DChefFactory
    MaxPool2DConverter (exo)
    MaxPool2DGraphBuilder (tflimport)
    MaxPool2DImpl (mir_interpreter)
    MaxPool2DImpl< uint8_t > (mir_interpreter)
    MaxPool2DOp (mir::ops)
    MaxPool2DOpAttributes (mir)
    MaxPoolCanonicalizer (moco::tf)
    MaxPoolGraphBuilder (moco)
    MaxPoolWithArgmaxChef
    MaxPoolWithArgmaxChefFactory
    MDTableWriter
    Mean (luci_interpreter::kernels)
    Mean_000_Q8 (Mean_000)
    MeanCanonicalizer (moco::tf)
    MeanChef
    MeanChefFactory
    MeanGraphBuilder (moco)
    MeanLayer (onert::backend::train::ops)
    MeanLayer (onert::backend::cpu::ops)
    MeanParams (luci_interpreter_pal)
    Memory
    MemoryContext (enco)
    MemoryManager (onert::backend::basic)
    MemoryManager (onert::backend::gpu_cl)
    MemoryPlannerFactory (onert::backend::basic)
    MemoryService (rua)
    MemoryTracker
    MergeCommand
    MergeConcatNodesPass (exo)
    Message (flatbuffers::grpc)
    Message (hermes)
    MessageBuffer (hermes)
    MessageBuilder (flatbuffers::grpc)
    MessageBus (hermes)
    MessageText (hermes)
    MetaDataBufferLink (tflite2circle)
    MetadataPrinter (circledump)
    MetadataPrinterRegistry (circledump)
    MetricPrinter (circle_eval_diff)
    Minimum (luci_interpreter::kernels)
    MinimumChef
    MinimumChefFactory
    MinimumFn (luci_interpreter_pal)
    MinimumOp (nnfw::cker)
    MinMax (minmax_embedder_test)
    MinMaxComputer (record_minmax)
    MinMaxDumper (onert::dumper::h5)
    MinMaxMap (onert::util)
    MinMaxMap (record_minmax)
    MinMaxObserver (record_minmax)
    MinMaxRecorder (onert::exec)
    MinMaxVectors (minmax_embedder::h5)
    MinMaxVectors (record_minmax)
    MIRInterpreter (mir_interpreter)
    MirrorPad (luci_interpreter::kernels)
    MirrorPadChef
    MirrorPadChefFactory
    MirrorPadParams (luci_interpreter)
    MirrorPadPrinter (circledump)
    MirrorPadPrinter (tfldump)
    MISOKernel (luci_interpreter::kernels)
    FixedArity::Mixin (loco)
    Mixin (loco)
    With::Mixin (loco)
    Mixin< Trait::DataTyped > (loco)
    Mixin< Trait::TensorShaped > (loco)
    MMapedData (onert::ir)
    MockTensor
    MocoNodeSummaryBuilder (moco::tf)
    Model
    Model (nnsuite::conv)
    Model (onert::ir)
    ModelAnalyzer (nnc)
    ModelArgumentInfo
    ModelBuilder
    ModelContext (mir_onnx)
    ModelEdge (onert::ir)
    ModelEdgeEqual (onert::ir)
    ModelEdgeHash (onert::ir)
    ModelEdges (onert::ir)
    ModelService (rua)
    ModelSignature (moco)
    ModelSpec (minmax_embedder_test)
    Module (ann)
    Module (coco)
    Module (luci)
    Module (nest)
    ModuleLoader (luci_interpreter)
    ModuleProgressReporter (luci)
    MovingAvgComputer (record_minmax)
    MPEIRComputer (QErrorComputer)
    MPEIRPrinter (circle_eval_diff)
    MPQOptions (mpqsolver::pattern)
    MPQSolver (mpqsolver)
    MSEComputer (QErrorComputer)
    MSEPrinter (circle_eval_diff)
    Mul (coco)
    Mul (luci_interpreter::kernels)
    Mul_000_Q8 (Mul_000)
    Mul_001_Q8 (Mul_001)
    MulCanonicalizer (moco::tf)
    MulChef
    MulChefFactory
    MulFn (luci_interpreter_pal)
    MulFn (onert_micro::execute::pal)
    MulGraphBuilder (moco)
    MulImpl (mir_interpreter)
    MulImpl< uint8_t > (mir_interpreter)
    MulNode (nest::expr)
    MulOp (mir::ops)
    MulParams (luci_interpreter)
    MulPrinter (circledump)
    MulPrinter (tfldump)
    MultiDialectShapeInferenceRule (loco)
    MultiDialectTypeInferenceRule (loco)
    MultiLineText (pp)
    MultiModelCompiler (onert::compiler)
    MultiModelExecutors (onert::exec)
    Op::Mutator (coco)
    N
    -
    Pass::Name (enco)
    NamedEntity (loco)
    NamedHashFunction (flatbuffers)
    Namespace (flatbuffers)
    NCHW (coco::KernelLayouts)
    NCHWLayout (nncc::core::ADT::kernel)
    NdArrayDesc
    NdArrayDesc (nnfw::cker)
    NdArrayDesc (onert_micro::execute::pal)
    NdArrayDesc (luci_interpreter_pal)
    NEBinaryLogicalOperation (arm_compute)
    NEBinaryLogicalOperationKernel (arm_compute)
    NEBinaryLogicalOperationStatic (arm_compute)
    NECastBool (arm_compute)
    NECastBoolKernel (arm_compute)
    NEEmbeddingLookup (arm_compute)
    NEEmbeddingLookupKernel (arm_compute)
    NEFullyConnectedHybridLayer (arm_compute)
    NEFullyConnectedHybridLayerReshapeWeights (arm_compute)
    NEFullyConnectedLayerEx (arm_compute)
    NEFullyConnectedReshapingLayer (arm_compute)
    Neg (luci_interpreter::kernels)
    NEGatherEx (arm_compute)
    NEGatherKernelEx (arm_compute)
    NegChef
    NegChefFactory
    NEGEMMMatrixAccumulateBiasesKernel (arm_compute)
    NegTestDataBase (luci_interpreter::test_kernel)
    NegTestDataBase (onert_micro::test_model)
    NegTestDataIfKernel (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeDiv (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeFloorDiv (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeFloorMod (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeMaximum (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeMinimum (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeMul (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeMul (onert_micro::test_model)
    NegTestDataInput2WrongTypeDiv (luci_interpreter::test_kernel)
    NegTestDataInput2WrongTypeFloorDiv (luci_interpreter::test_kernel)
    NegTestDataInput2WrongTypeFloorMod (luci_interpreter::test_kernel)
    NegTestDataInput2WrongTypeMaximum (luci_interpreter::test_kernel)
    NegTestDataInput2WrongTypeMinimum (luci_interpreter::test_kernel)
    NegTestDataInput2WrongTypeMul (luci_interpreter::test_kernel)
    NegTestDataInput2WrongTypeMul (onert_micro::test_model)
    NegTestDataInputMismatchAddKernel (onert_micro::test_model)
    NegTestDataInputMismatchAddKernel (luci_interpreter::test_kernel)
    NegTestDataInputMismatchConv2DKernel (luci_interpreter::test_kernel)
    NegTestDataInputMismatchConv2DKernel (onert_micro::test_model)
    NegTestDataInputMismatchDepthwiseConv2DKernel (luci_interpreter::test_kernel)
    NegTestDataInputMismatchSelectV2Kernel (luci_interpreter::test_kernel)
    NegTestDataInputMismatchTransposeConvKernel (luci_interpreter::test_kernel)
    NegTestDataInputMismatchUnpackKernel (luci_interpreter::test_kernel)
    NegTestDataInputMismatchZerosLikeKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputShapeMismatchAbsKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputShapeMismatchAbsKernel (onert_micro::test_model)
    NegTestDataInputOutputShapeMismatchCeilKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputShapeMismatchDequantizeKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputShapeMismatchLogicalNotKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputShapeMismatchQuantizeKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchAbsKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchAbsKernel (onert_micro::test_model)
    NegTestDataInputOutputTypeMismatchAveragePool2DKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchBatchToSpaceNDKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchBroadcastToKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchCeilKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchCosKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchDepthToSpaceKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchEluKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchExpKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchFloorKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchGatherKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchGatherKernel (onert_micro::test_model)
    NegTestDataInputOutputTypeMismatchGatherNDKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchL2Pool2DKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchLeakyReLUKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchLogicalNotKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchLogisticKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchLogisticKernel (onert_micro::test_model)
    NegTestDataInputOutputTypeMismatchLogKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchLogSoftmaxKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchMaxPool2DKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchMaxPool2DKernel (onert_micro::test_model)
    NegTestDataInputOutputTypeMismatchMeanKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchMirrorPadKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchNegKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchPadKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchPadV2Kernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchPReluKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchReduceMaxKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchReLU6Kernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchReLUKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchResizeNearestNeighborKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchRoundKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchRsqrtKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSinKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSpaceToBatchNDKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSpaceToDepthKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSqrtKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSquareKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSubKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSubKernel (onert_micro::test_model)
    NegTestDataInputOutputTypeMismatchSumKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSVDFKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchTanhKernel (luci_interpreter::test_kernel)
    NegTestDataInputsTypeMismatchPReluKernel (luci_interpreter::test_kernel)
    NegTestDataInputsTypeMismatchSquaredDifference (luci_interpreter::test_kernel)
    NegTestDataInputsTypeMismatchSubKernel (luci_interpreter::test_kernel)
    NegTestDataInputsTypeMismatchSubKernel (onert_micro::test_model)
    NegTestDataInputTypeMismatchFillKernel (luci_interpreter::test_kernel)
    NegTestDataInputTypeMismatchLogicalAndKernel (luci_interpreter::test_kernel)
    NegTestDataInputTypeMismatchLogicalOrKernel (luci_interpreter::test_kernel)
    NegTestDataInt16TypeMul (onert_micro::test_model)
    NegTestDataInt16TypeMul (luci_interpreter::test_kernel)
    NegTestDataInvalidInputOutputShapeFloorKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputShapeConv2DKernel (onert_micro::test_model)
    NegTestDataInvalidInputShapeConv2DKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputShapeFloatResizeBilinearKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputShapeMaxPool2DKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputShapeMaxPool2DKernel (onert_micro::test_model)
    NegTestDataInvalidInputShapeNegKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputShapeTransposeConvKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputShapeUint8ResizeBilinearKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputTypeDepthwiseConv2DKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputTypeExpandDimsKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidParamFloatResizeBilinearKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidParamUint8ResizeBilinearKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidSizeShapeDimensionsFloatResizeBilinearKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidSizeShapeDimensionsUint8ResizeBilinearKernel (luci_interpreter::test_kernel)
    NegTestDataLessKernel (luci_interpreter::test_kernel)
    NegTestDataNoQuantParamsLogisticKernel (luci_interpreter::test_kernel)
    NegTestDataNoQuantParamsLogisticKernel (onert_micro::test_model)
    NegTestDataNoQuantParamsMaxPool2DKernel (luci_interpreter::test_kernel)
    NegTestDataNoQuantParamsMaxPool2DKernel (onert_micro::test_model)
    NegTestDataNoQuantParamsS16AddKernel (luci_interpreter::test_kernel)
    NegTestDataNoQuantParamsS16AddKernel (onert_micro::test_model)
    NegTestDataNoQuantParamsSubKernel (luci_interpreter::test_kernel)
    NegTestDataNoQuantParamsSubKernel (onert_micro::test_model)
    NegTestDataWhileKernel (luci_interpreter::test_kernel)
    NegTestDataWrongAxisGatherKernel (luci_interpreter::test_kernel)
    NegTestDataWrongAxisGatherKernel (onert_micro::test_model)
    NegTestDataWrongAxisTypeReduceProdKernel (luci_interpreter::test_kernel)
    NegTestDataWrongBiasShapeFullyConnectedKernel (luci_interpreter::test_kernel)
    NegTestDataWrongBiasShapeFullyConnectedKernel (onert_micro::test_model)
    NegTestDataWrongBiasTypeConv2DKernel (luci_interpreter::test_kernel)
    NegTestDataWrongBiasTypeDepthwiseConv2DKernel (luci_interpreter::test_kernel)
    NegTestDataWrongInputShapeFillKernel (luci_interpreter::test_kernel)
    NegTestDataWrongInputTypeReduceProdKernel (luci_interpreter::test_kernel)
    NegTestDataWrongOutputTypeShapeKernel (luci_interpreter::test_kernel)
    NegTestDataWrongOutputTypeShapeKernel (onert_micro::test_model)
    NegTestDataWrongParamFloatSqueeze (luci_interpreter::test_kernel)
    NegTestDataWrongPositionTypeGatherKernel (luci_interpreter::test_kernel)
    NegTestDataWrongPositionTypeGatherKernel (onert_micro::test_model)
    NegTestDataWrongWeightShapeFullyConnectedKernel (luci_interpreter::test_kernel)
    NegTestDataWrongWeightShapeFullyConnectedKernel (onert_micro::test_model)
    NegTestDataWrongWeightTypeFullyConnectedKernel (luci_interpreter::test_kernel)
    NegTestIOMismatchParamFloatSqueeze (luci_interpreter::test_kernel)
    NEHashtableLookup (arm_compute)
    NEHashtableLookupKernel (arm_compute)
    NEInstanceNormalizationLayerEx (arm_compute)
    NEInstanceNormalizationLayerKernelEx (arm_compute)
    NEMultiplyScaleFactorKernel (arm_compute)
    NEOneHot (arm_compute)
    NEOneHotKernel (arm_compute)
    NEQuantizationSymmetricKernel (arm_compute)
    NEReduceOperation (arm_compute)
    NEReduceSum (arm_compute)
    NESubTensor (onert::backend::acl_neon::operand)
    NETensor (onert::backend::acl_neon::operand)
    NETransposeConvLayer (arm_compute)
    NHWC (coco::KernelLayouts)
    NHWCLayout (nncc::core::ADT::kernel)
    NNAPIConvert
    nnfw_custom_kernel_params
    nnfw_loss_info
    nnfw_operand
    NNFW_SESSION
    nnfw_session
    nnfw_session_wrapper (package.libnnfw_api_pybind)
    nnfw_tensorinfo
    nnfw_train_info
    NNPkg (onert::ir)
    Node (nest::stmt)
    Node (onert::dumper::dot)
    Node (nest::expr)
    Node (loco)
    DLinkedList::Node (coco)
    NodeAnnotation (loco)
    NodeBuilderBase (luci)
    NodeConverterRegistry (mir_onnx)
    NodeData (locomotiv)
    NodeDataImpl (locomotiv)
    NodeDefTable (moco)
    NodeDesc (locop)
    NodeDomain (locomotiv)
    NodeExecution (locomotiv)
    NodeFiller (luci)
    NodeMixin (loco)
    NodeMixin< NodeTrait::DataType > (loco)
    NodeMixin< NodeTrait::TensorShape > (loco)
    NodePool (loco)
    NodeShape (loco)
    NodeSummaryBuilder (exo)
    NodeSummaryBuilder (locop)
    NodeSummaryBuilder (luci)
    NodeSummaryBuilderFactory (exo)
    NodeSummaryBuilderFactory (locop)
    NodeSummaryBuilderFactory (luci)
    NonIncreasingStride (nnfw::misc::tensor)
    NonMaxSuppressionV4Chef
    NonMaxSuppressionV4ChefFactory
    NonMaxSuppressionV5Chef
    NonMaxSuppressionV5ChefFactory
    NopFunction (onert::exec)
    NormalDistribution (nnfw::cker::random)
    NormalDistribution< Generator, double > (nnfw::cker::random)
    NormalDistribution< Generator, Eigen::half > (nnfw::cker::random)
    NormalDistribution< Generator, float > (nnfw::cker::random)
    NotEqual (luci_interpreter::kernels)
    NotEqualChef
    NotEqualChefFactory
    NpuContext (npud::core)
    nullopt_holder (flatbuffers::internal)
    nullopt_t (flatbuffers)
    numeric_limits (flatbuffers)
    +
    Pass::Name (enco)
    NamedEntity (loco)
    NamedHashFunction (flatbuffers)
    Namespace (flatbuffers)
    NCHW (coco::KernelLayouts)
    NCHWLayout (nncc::core::ADT::kernel)
    NdArrayDesc
    NdArrayDesc (nnfw::cker)
    NdArrayDesc (onert_micro::execute::pal)
    NdArrayDesc (luci_interpreter_pal)
    NEBinaryLogicalOperation (arm_compute)
    NEBinaryLogicalOperationKernel (arm_compute)
    NEBinaryLogicalOperationStatic (arm_compute)
    NECastBool (arm_compute)
    NECastBoolKernel (arm_compute)
    NEEmbeddingLookup (arm_compute)
    NEEmbeddingLookupKernel (arm_compute)
    NEFullyConnectedHybridLayer (arm_compute)
    NEFullyConnectedHybridLayerReshapeWeights (arm_compute)
    NEFullyConnectedLayerEx (arm_compute)
    NEFullyConnectedReshapingLayer (arm_compute)
    Neg (luci_interpreter::kernels)
    NEGatherEx (arm_compute)
    NEGatherKernelEx (arm_compute)
    NegChef
    NegChefFactory
    NEGEMMMatrixAccumulateBiasesKernel (arm_compute)
    NegTestDataBase (luci_interpreter::test_kernel)
    NegTestDataBase (onert_micro::test_model)
    NegTestDataIfKernel (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeDiv (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeFloorDiv (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeFloorMod (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeMaximum (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeMinimum (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeMul (luci_interpreter::test_kernel)
    NegTestDataInput1WrongTypeMul (onert_micro::test_model)
    NegTestDataInput2WrongTypeDiv (luci_interpreter::test_kernel)
    NegTestDataInput2WrongTypeFloorDiv (luci_interpreter::test_kernel)
    NegTestDataInput2WrongTypeFloorMod (luci_interpreter::test_kernel)
    NegTestDataInput2WrongTypeMaximum (luci_interpreter::test_kernel)
    NegTestDataInput2WrongTypeMinimum (luci_interpreter::test_kernel)
    NegTestDataInput2WrongTypeMul (luci_interpreter::test_kernel)
    NegTestDataInput2WrongTypeMul (onert_micro::test_model)
    NegTestDataInputMismatchAddKernel (onert_micro::test_model)
    NegTestDataInputMismatchAddKernel (luci_interpreter::test_kernel)
    NegTestDataInputMismatchConv2DKernel (luci_interpreter::test_kernel)
    NegTestDataInputMismatchConv2DKernel (onert_micro::test_model)
    NegTestDataInputMismatchDepthwiseConv2DKernel (luci_interpreter::test_kernel)
    NegTestDataInputMismatchSelectV2Kernel (luci_interpreter::test_kernel)
    NegTestDataInputMismatchTransposeConvKernel (luci_interpreter::test_kernel)
    NegTestDataInputMismatchUnpackKernel (luci_interpreter::test_kernel)
    NegTestDataInputMismatchZerosLikeKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputShapeMismatchAbsKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputShapeMismatchAbsKernel (onert_micro::test_model)
    NegTestDataInputOutputShapeMismatchCeilKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputShapeMismatchDequantizeKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputShapeMismatchLogicalNotKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputShapeMismatchQuantizeKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchAbsKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchAbsKernel (onert_micro::test_model)
    NegTestDataInputOutputTypeMismatchAveragePool2DKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchBatchToSpaceNDKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchBroadcastToKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchCeilKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchCosKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchDepthToSpaceKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchEluKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchExpKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchFloorKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchGatherKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchGatherKernel (onert_micro::test_model)
    NegTestDataInputOutputTypeMismatchGatherNDKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchL2Pool2DKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchLeakyReLUKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchLogicalNotKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchLogisticKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchLogisticKernel (onert_micro::test_model)
    NegTestDataInputOutputTypeMismatchLogKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchLogSoftmaxKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchMaxPool2DKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchMaxPool2DKernel (onert_micro::test_model)
    NegTestDataInputOutputTypeMismatchMeanKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchMirrorPadKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchNegKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchPadKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchPadV2Kernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchPReluKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchReduceMaxKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchReLU6Kernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchReLUKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchResizeNearestNeighborKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchRoundKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchRsqrtKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSinKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSoftmaxKernel (onert_micro::test_model)
    NegTestDataInputOutputTypeMismatchSpaceToBatchNDKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSpaceToDepthKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSqrtKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSquareKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSubKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSubKernel (onert_micro::test_model)
    NegTestDataInputOutputTypeMismatchSumKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchSVDFKernel (luci_interpreter::test_kernel)
    NegTestDataInputOutputTypeMismatchTanhKernel (luci_interpreter::test_kernel)
    NegTestDataInputsTypeMismatchPReluKernel (luci_interpreter::test_kernel)
    NegTestDataInputsTypeMismatchSquaredDifference (luci_interpreter::test_kernel)
    NegTestDataInputsTypeMismatchSubKernel (luci_interpreter::test_kernel)
    NegTestDataInputsTypeMismatchSubKernel (onert_micro::test_model)
    NegTestDataInputTypeMismatchFillKernel (luci_interpreter::test_kernel)
    NegTestDataInputTypeMismatchLogicalAndKernel (luci_interpreter::test_kernel)
    NegTestDataInputTypeMismatchLogicalOrKernel (luci_interpreter::test_kernel)
    NegTestDataInt16TypeMul (onert_micro::test_model)
    NegTestDataInt16TypeMul (luci_interpreter::test_kernel)
    NegTestDataInvalidInputOutputShapeFloorKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputShapeConv2DKernel (onert_micro::test_model)
    NegTestDataInvalidInputShapeConv2DKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputShapeFloatResizeBilinearKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputShapeMaxPool2DKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputShapeMaxPool2DKernel (onert_micro::test_model)
    NegTestDataInvalidInputShapeNegKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputShapeTransposeConvKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputShapeUint8ResizeBilinearKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputTypeDepthwiseConv2DKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidInputTypeExpandDimsKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidParamFloatResizeBilinearKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidParamUint8ResizeBilinearKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidSizeShapeDimensionsFloatResizeBilinearKernel (luci_interpreter::test_kernel)
    NegTestDataInvalidSizeShapeDimensionsUint8ResizeBilinearKernel (luci_interpreter::test_kernel)
    NegTestDataLessKernel (luci_interpreter::test_kernel)
    NegTestDataNoQuantParamsLogisticKernel (luci_interpreter::test_kernel)
    NegTestDataNoQuantParamsLogisticKernel (onert_micro::test_model)
    NegTestDataNoQuantParamsMaxPool2DKernel (luci_interpreter::test_kernel)
    NegTestDataNoQuantParamsMaxPool2DKernel (onert_micro::test_model)
    NegTestDataNoQuantParamsS16AddKernel (luci_interpreter::test_kernel)
    NegTestDataNoQuantParamsS16AddKernel (onert_micro::test_model)
    NegTestDataNoQuantParamsSoftmaxKernel (onert_micro::test_model)
    NegTestDataNoQuantParamsSubKernel (luci_interpreter::test_kernel)
    NegTestDataNoQuantParamsSubKernel (onert_micro::test_model)
    NegTestDataWhileKernel (luci_interpreter::test_kernel)
    NegTestDataWrongAxisGatherKernel (luci_interpreter::test_kernel)
    NegTestDataWrongAxisGatherKernel (onert_micro::test_model)
    NegTestDataWrongAxisTypeReduceProdKernel (luci_interpreter::test_kernel)
    NegTestDataWrongBiasShapeFullyConnectedKernel (onert_micro::test_model)
    NegTestDataWrongBiasShapeFullyConnectedKernel (luci_interpreter::test_kernel)
    NegTestDataWrongBiasTypeConv2DKernel (luci_interpreter::test_kernel)
    NegTestDataWrongBiasTypeDepthwiseConv2DKernel (luci_interpreter::test_kernel)
    NegTestDataWrongInputShapeFillKernel (luci_interpreter::test_kernel)
    NegTestDataWrongInputTypeReduceProdKernel (luci_interpreter::test_kernel)
    NegTestDataWrongOutputTypeShapeKernel (luci_interpreter::test_kernel)
    NegTestDataWrongOutputTypeShapeKernel (onert_micro::test_model)
    NegTestDataWrongParamFloatSqueeze (luci_interpreter::test_kernel)
    NegTestDataWrongPositionTypeGatherKernel (luci_interpreter::test_kernel)
    NegTestDataWrongPositionTypeGatherKernel (onert_micro::test_model)
    NegTestDataWrongWeightShapeFullyConnectedKernel (luci_interpreter::test_kernel)
    NegTestDataWrongWeightShapeFullyConnectedKernel (onert_micro::test_model)
    NegTestDataWrongWeightTypeFullyConnectedKernel (luci_interpreter::test_kernel)
    NegTestIOMismatchParamFloatSqueeze (luci_interpreter::test_kernel)
    NEHashtableLookup (arm_compute)
    NEHashtableLookupKernel (arm_compute)
    NEInstanceNormalizationLayerEx (arm_compute)
    NEInstanceNormalizationLayerKernelEx (arm_compute)
    NEMultiplyScaleFactorKernel (arm_compute)
    NEOneHot (arm_compute)
    NEOneHotKernel (arm_compute)
    NEQuantizationSymmetricKernel (arm_compute)
    NEReduceOperation (arm_compute)
    NEReduceSum (arm_compute)
    NESubTensor (onert::backend::acl_neon::operand)
    NETensor (onert::backend::acl_neon::operand)
    NETransposeConvLayer (arm_compute)
    NHWC (coco::KernelLayouts)
    NHWCLayout (nncc::core::ADT::kernel)
    NNAPIConvert
    nnfw_custom_kernel_params
    nnfw_loss_info
    nnfw_operand
    NNFW_SESSION
    nnfw_session
    nnfw_session_wrapper (package.libnnfw_api_pybind)
    nnfw_tensorinfo
    nnfw_train_info
    NNPkg (onert::ir)
    Node (nest::expr)
    Node (onert::dumper::dot)
    Node (nest::stmt)
    Node (loco)
    DLinkedList::Node (coco)
    NodeAnnotation (loco)
    NodeBuilderBase (luci)
    NodeConverterRegistry (mir_onnx)
    NodeData (locomotiv)
    NodeDataImpl (locomotiv)
    NodeDefTable (moco)
    NodeDesc (locop)
    NodeDomain (locomotiv)
    NodeExecution (locomotiv)
    NodeFiller (luci)
    NodeMixin (loco)
    NodeMixin< NodeTrait::DataType > (loco)
    NodeMixin< NodeTrait::TensorShape > (loco)
    NodePool (loco)
    NodeShape (loco)
    NodeSummaryBuilder (exo)
    NodeSummaryBuilder (locop)
    NodeSummaryBuilder (luci)
    NodeSummaryBuilderFactory (exo)
    NodeSummaryBuilderFactory (locop)
    NodeSummaryBuilderFactory (luci)
    NonIncreasingStride (nnfw::misc::tensor)
    NonMaxSuppressionV4Chef
    NonMaxSuppressionV4ChefFactory
    NonMaxSuppressionV5Chef
    NonMaxSuppressionV5ChefFactory
    NopFunction (onert::exec)
    NormalDistribution (nnfw::cker::random)
    NormalDistribution< Generator, double > (nnfw::cker::random)
    NormalDistribution< Generator, Eigen::half > (nnfw::cker::random)
    NormalDistribution< Generator, float > (nnfw::cker::random)
    NotEqual (luci_interpreter::kernels)
    NotEqualChef
    NotEqualChefFactory
    NpuContext (npud::core)
    nullopt_holder (flatbuffers::internal)
    nullopt_t (flatbuffers)
    numeric_limits (flatbuffers)
    O
    Object (flexbuffers)
    Object (coco)
    Object (nnfw::misc::vector)
    Object (nnfw::misc::feature)
    Object (nnfw::misc::tensor)
    ObjectManager (coco)
    ObjectManager (onert::util)
    ObjectPool (loco)
    Comparator::Observer (nnfw::misc::tensor)
    OddOutputPass (onert::compiler::pass)
    Offset (flatbuffers)
    Offset (tflite2circle)
    OMCircleReader (onert_micro::core::reader)
    OMConfig (onert_micro)
    OMConfigureArgs (onert_micro::import)
    OMDataTypeImpl (onert_micro::core)
    OMDataTypeImpl< OMDataType::BOOL > (onert_micro::core)
    OMDataTypeImpl< OMDataType::FLOAT16 > (onert_micro::core)
    OMDataTypeImpl< OMDataType::FLOAT32 > (onert_micro::core)
    OMDataTypeImpl< OMDataType::FLOAT64 > (onert_micro::core)
    OMDataTypeImpl< OMDataType::S16 > (onert_micro::core)
    OMDataTypeImpl< OMDataType::S32 > (onert_micro::core)
    OMDataTypeImpl< OMDataType::S64 > (onert_micro::core)
    OMDataTypeImpl< OMDataType::S8 > (onert_micro::core)
    OMDataTypeImpl< OMDataType::U16 > (onert_micro::core)
    OMDataTypeImpl< OMDataType::U32 > (onert_micro::core)
    OMDataTypeImpl< OMDataType::U64 > (onert_micro::core)
    OMDataTypeImpl< OMDataType::U8 > (onert_micro::core)
    OMExecuteArgs (onert_micro::execute)
    OMExecutionPlanCreator (onert_micro::import)
    OMGraphStatus (onert_micro::optimize)
    OMInterpreter (onert_micro)
    OMKernelConfiguration (onert_micro::import)
    OMKernelExecute (onert_micro::execute)
    OMMemoryManager (onert_micro::core::memory)
    OMOptimizer (onert_micro::optimize)
    OMRuntimeAllocator (onert_micro::core::memory)
    OMRuntimeContext (onert_micro::core)
    OMRuntimeGraph (onert_micro::core)
    OMRuntimeKernel (onert_micro::execute)
    OMRuntimeModule (onert_micro::core)
    OMRuntimeShape (onert_micro::core)
    OMRuntimeStorage (onert_micro::core)
    OneHot (luci_interpreter::kernels)
    OneHot (onert::ir::operation)
    OneHotChef
    OneHotChefFactory
    OneHotLayer (onert::backend::cpu::ops)
    OneHotParams (luci_interpreter)
    OneHotPrinter (circledump)
    OneHotPrinter (tfldump)
    OnertException (onert)
    OnnxRunner (validate_onnx2circle)
    Op (coco)
    OpBuilder
    OpChef
    OpChefFactory
    OpCode (exo::circle_detail)
    OpCode (exo::tflite_detail)
    OpCode (luci)
    Operand
    Operand (onert::ir)
    Operand (ann)
    Operand (onert::dumper::dot)
    OperandConstraint (onert::ir)
    OperandID (ann)
    OperandIndexSequence (onert::ir)
    OperandInfo (onert::ir)
    OperandInventory (ann)
    OperandLowerInfo (onert::compiler)
    OperandObserver (onert::compiler)
    OperandPass (onert::compiler::pass)
    Operands (onert::ir)
    Operation (ann)
    Operation (mir)
    Operation (onert::dumper::dot)
    Operation (onert::ir)
    Operation
    OperationDumper (onert::ir)
    OperationExporterRule (luci)
    OperationFactory
    OperationIndexSet (onert::ir)
    OperationInventory (ann)
    OperationLowerInfo (onert::compiler)
    OperationPass (onert::compiler::pass)
    Operations (onert::ir)
    OperationValidator (onert::ir)
    OperationVisitor (onert::ir)
    OperatorCodeLink (tflite2circle)
    OpManager (coco)
    OpMinMaxHash (onert::exec)
    OpPrinter (circledump)
    OpPrinter
    OpPrinter (tfldump)
    OpPrinterRegistry (circledump)
    OpPrinterRegistry (tfldump)
    OpSelector (opselector)
    OpSeqDurationEvent
    EventCollector::OpSeqEvent
    OpTablePrinter (circledump)
    OptimizePassRegistry (onert_micro::optimize)
    Optimizer (moco::tf)
    Optimizer (onert::backend::acl_cl)
    Optimizer (onert::backend::acl_neon)
    Optimizer (onert::exec::train::optimizer)
    OptimizerInfo (onert::ir::train)
    Option (nnc::cli)
    OptionBuilder (OptionBuilder)
    CircleOptimizer::Options (luci)
    CircleQuantizer::Options (luci)
    OptionType (nnc::cli)
    OptionType< T, false > (nnc::cli)
    OptionType< T, true > (nnc::cli)
    Output (coco)
    Operation::Output (mir)
    OutputBlobContext (nnkit::support::caffe)
    Graph::OutputContext (loco)
    OutputDesc (onert::exec)
    OutputLayer
    OutputManager (coco)
    OutputOp (mir::ops)
    OutputTensorContext (nnkit::support::moco::tf)
    OutputTensorSet (nnkit::support::tflite)
    Overlay (nncc::core::ADT::feature)
    Overlay (nncc::core::ADT::kernel)
    Overlay (nncc::core::ADT::tensor)
    OverlayFactory (nncc::core::ADT::kernel)
    @@ -153,7 +153,7 @@
    scalar_logistic_op (nnfw::cker)
    DetectionPostProcess::Scale (onert::ir::operation)
    ScaleBuilder (caffeimport)
    ScatterNdChef
    ScatterNdChefFactory
    Schedule (nest)
    ScratchpadHelperCMSISNN (circle_planner)
    ScratchpadHelperLinux (circle_planner)
    ScratchpadHelperMCU (circle_planner)
    Section (crew)
    SegmentSumChef
    SegmentSumChefFactory
    Select (luci_interpreter::kernels)
    Select (onert::ir::operation)
    SelectChef
    SelectChefFactory
    SelectLayer (onert::backend::cpu::ops)
    SelectV2 (luci_interpreter::kernels)
    SelectV2Chef
    SelectV2ChefFactory
    SequentialTensorWriter (nnfw::cker)
    SerializedGraphData (luci)
    SerializedModelData (exo::tflite_detail)
    SerializedModelData (luci)
    SerializedModelData (exo::circle_detail)
    Serializer (nnc)
    Server (npud::core)
    ServiceDef (flatbuffers)
    Session (locomotiv)
    Session (nnfw::tflite)
    Set (onert::util)
    SetZeroFunctor (nnfw::cker::functor)
    Severity (hermes)
    SGD (onert::backend::train::optimizer)
    Shape
    Shape (onert::ir)
    Shape (onert::ir::operation)
    Shape (nnfw::ruy)
    Shape (nnfw::misc::tensor)
    Shape (nnfw::misc::matrix)
    Shape (nncc::core::ADT::kernel)
    Shape (nnfw::misc::kernel)
    Shape (nnfw::misc::feature)
    Shape (nncc::core::ADT::tensor)
    Shape (nnfw::cker)
    TFLReshape::Shape (locoex)
    CircleReshape::Shape (luci)
    Shape (luci_interpreter)
    Shape (mir)
    Shape (ndarray)
    Shape (nncc::core::ADT::feature)
    ShapeChef
    ShapeChefFactory
    ShapeDescription (exo)
    ShapeDescription (luci)
    ShapeGraphBuilder (moco)
    ShapeHint (tfinfo)
    ShapeHint (tfinfo::v2)
    ShapeInference (exo)
    ShapeInference (loco)
    ShapeInferencePass (exo)
    ShapeInferencePass (moco::tf)
    ShapeInferenceRule (loco)
    ShapeInferenceSession (loco)
    ShapeIter (mir)
    ShapeKernel (luci_interpreter::kernels)
    ShapeLayer (onert::backend::cpu::ops)
    ShapeParams (luci_interpreter)
    ShapePrinter (circledump)
    ShapePrinter (tfldump)
    ShapeQuery
    ShapeRange (mir)
    ShapeValidator (onert::compiler)
    ShowAction
    Shuffle (coco)
    ShuffleWeightTo16x1Float32Pass (luci)
    SigmoidImpl (mir_interpreter)
    SigmoidImpl< uint8_t > (mir_interpreter)
    SigmoidOp (mir::ops)
    Signal (npud::core)
    Graph::SimpleFactoryObjectPool (loco)
    SimpleFloatConstantGenerator (flatbuffers)
    SimpleGraph (mpqsolver::test::models)
    SimpleMemoryManager (luci_interpreter)
    SimpleMock (onert_test::ir)
    SimpleNodeTransform (moco::tf)
    SimplifyDomainConversionPass (logo)
    Sin (luci_interpreter::kernels)
    SinChef
    SinChefFactory
    SingleModelExecutors (onert::exec)
    SingleOperatorTest (SingleOperatorTest)
    SingleSampleAdapter (nnfw::cker::random)
    Sink (hermes)
    ShapeInferenceRule::Sink (loco)
    SinkRelu (nnc)
    SinkTranspose (nnc)
    SISOKernel (luci_interpreter::kernels)
    Sized (flexbuffers)
    Slice (luci_interpreter::kernels)
    Slice (onert::ir::operation)
    SliceAllocator (flatbuffers::grpc)
    SliceChef
    SliceChefFactory
    SliceImpl (mir_interpreter)
    SliceLayer (onert::backend::cpu::ops)
    SliceOp (mir::ops)
    SliceParams (nnfw::cker)
    small_vector (adt)
    SNPEWriter
    Softmax (loco)
    Softmax (luci_interpreter::kernels)
    Softmax (onert::ir::operation)
    Softmax (onert::ir::train::operation)
    Softmax< Domain::Tensor > (loco)
    Softmax_000_Q8 (Softmax_000)
    SoftmaxCanonicalizer (moco::tf)
    SoftmaxChef
    SoftmaxChefFactory
    SoftmaxGraphBuilder (moco)
    SoftmaxGraphlet (mpqsolver::test::models)
    SoftmaxImpl (mir_interpreter)
    SoftmaxImpl< uint8_t > (mir_interpreter)
    SoftMaxLayer (onert::backend::cpu::ops)
    SoftMaxLayer (onert::backend::train::ops)
    SoftmaxOp (mir::ops)
    SoftmaxParams (luci_interpreter)
    SoftmaxParams (luci_interpreter_pal)
    SoftmaxParams (nnfw::cker)
    SoftmaxParams (onert_micro::core)
    SoftmaxPrinter (circledump)
    SoftmaxPrinter (tfldump)
    SoftmaxTestGraph (mpqsolver::test::models)
    SolverHooks (mpqsolver::core)
    SolverOutput
    Source (hermes)
    CircleNodeOrigin::Source (luci)
    SourceSetting (hermes)
    SourceTablePrinter (circledump)
    SpaceToBatchND (luci_interpreter::kernels)
    SpaceToBatchND (onert::ir::operation)
    SpaceToBatchNDChef
    SpaceToBatchNDChefFactory
    SpaceToBatchNDLayer (onert::backend::cpu::ops)
    SpaceToBatchParams (nnfw::cker)
    SpaceToDepth (luci_interpreter::kernels)
    SpaceToDepth (onert::ir::operation)
    SpaceToDepthChef
    SpaceToDepthChefFactory
    SpaceToDepthLayer (onert::backend::cpu::ops)
    SpaceToDepthParams (luci_interpreter)
    SpaceToDepthParams (nnfw::cker)
    SpaceToDepthPrinter (circledump)
    SpaceToDepthPrinter (tfldump)
    Span (coco)
    SparseIndexVector (luci)
    SparseToDenseChef
    SparseToDenseChefFactory
    SparseToDensePrinter (circledump)
    SparseToDensePrinter (tfldump)
    Sparsifier (luci)
    SparsifyTensorPass (luci)
    Sparsity (onert::ir)
    SparsityParam (luci)
    SpatialConvolutionBackwardInputFunc (nnfw::cker::train::functor)
    SpatialConvolutionBackwardInputWithExplicitPaddingFunc (nnfw::cker::train::functor)
    SpatialPadding
    SpatialPaddingBuilder
    Spec (locop)
    Spec< Interface::Formatted > (locop)
    Split (luci_interpreter::kernels)
    Split (onert::ir::operation)
    SplitChef
    SplitChefFactory
    SplitLayer (onert::backend::cpu::ops)
    SplitParams (nnfw::cker)
    SplitPrinter (circledump)
    SplitPrinter (tfldump)
    SplitV (luci_interpreter::kernels)
    SplitV (onert::ir::operation)
    SplitVChef
    SplitVChefFactory
    SplitVLayer (onert::backend::cpu::ops)
    SplitVParams (nnfw::cker)
    SplitVPrinter (circledump)
    SplitVPrinter (tfldump)
    SqDiffLayer (onert::backend::cpu::ops)
    Sqrt (coco)
    Sqrt (luci_interpreter::kernels)
    SqrtCanonicalizer (moco::tf)
    SqrtChef
    SqrtChefFactory
    SqrtGraphBuilder (moco)
    SqrtImpl (mir_interpreter)
    SqrtImpl< uint8_t > (mir_interpreter)
    SqrtOp (mir::ops)
    Square (luci_interpreter::kernels)
    SquareChef
    SquareChefFactory
    SquaredDifference (onert::ir::operation)
    SquaredDifference (luci_interpreter::kernels)
    SquaredDifferenceChef
    SquaredDifferenceChefFactory
    SquaredDifferenceGraphBuilder (moco)
    Squeeze (luci_interpreter::kernels)
    Squeeze (onert::ir::operation)
    SqueezeCanonicalizer (moco::tf)
    SqueezeChef
    SqueezeChefFactory
    SqueezeGraphBuilder (moco)
    SqueezeOp (mir::ops)
    SqueezeParams (luci_interpreter)
    SqueezePrinter (circledump)
    SqueezePrinter (tfldump)
    SqueezeReduceNode (moco)
    SRMSEComputer (QErrorComputer)
    GraphBuilder::Stack
    StatelessRandomUniform (onert::ir::operation)
    StatelessRandomUniformLayer (onert::backend::cpu::ops)
    StaticBackwardShapeInferer (onert::compiler::train)
    StaticMemoryManager (luci_interpreter)
    StaticShapeInferer (onert::compiler)
    StaticTensorManager (onert::backend::basic)
    Status (nnkit::support::onnx)
    Step (coco)
    StopGradientCanonicalizer (moco::tf)
    StopGradientGraphBuilder (moco)
    Stride (loco)
    Stride (onert::ir)
    Stride (locoex)
    Stride (luci)
    Stride2D (coco)
    Stride< 2 > (loco)
    StridedSlice (luci_interpreter::kernels)
    StridedSlice (onert::ir::operation)
    StridedSliceChef
    StridedSliceChefFactory
    StridedSliceGraphBuilder (moco)
    StridedSliceLayer (onert::backend::cpu::ops)
    StridedSliceParams (luci_interpreter)
    StridedSliceParams (luci_interpreter_pal)
    StridedSliceParams (nnfw::cker)
    StridedSliceParams (onert::shape_inference)
    StridedSliceParams (onert_micro::core)
    StridedSlicePrinter (circledump)
    StridedSlicePrinter (tfldump)
    StrideFunctor (nnfw::cker::functor)
    StrideInfo (nnop)
    Strides (ndarray)
    String (flatbuffers)
    String (flexbuffers)
    FlatBufferBuilder::StringOffsetCompare (flatbuffers)
    StructDef (flatbuffers)
    Sub (coco)
    Sub (luci_interpreter::kernels)
    SubCanonicalizer (moco::tf)
    SubChef
    SubChefFactory
    SubFn (luci_interpreter_pal)
    SubFn (onert_micro::execute::pal)
    SubgDurationEvent
    EventCollector::SubgEvent
    SubGraphBuilder (tflimport)
    SubGraphBuilder (moco)
    SubGraphContext (exo::circle_detail)
    SubGraphContext (luci)
    SubGraphContext (exo::tflite_detail)
    SubGraphLink (tflite2circle)
    SubImpl (mir_interpreter)
    SubImpl< uint8_t > (mir_interpreter)
    SubnetBlockCompiler (enco)
    SubnetManager (enco)
    SubnetStruct (enco)
    SubnetStructBuilder (enco)
    SubOp (mir::ops)
    SubParams (luci_interpreter)
    SubPrinter (circledump)
    SubPrinter (tfldump)
    Subscript (nest::expr)
    Subst (loco)
    Subst< SubstQualifier::Default > (loco)
    SubstitutePackToReshapePass (luci)
    SubstitutePadV2ToPadPass (luci)
    SubstituteSplitVToSplitPass (luci)
    SubstituteSqueezeToReshapePass (luci)
    SubstituteStridedSliceToReshapePass (luci)
    SubstituteTransposeToReshapePass (luci)
    Sum (luci_interpreter::kernels)
    SumChef
    SumChefFactory
    SVDF (luci_interpreter::kernels)
    SVDFChef
    SVDFChefFactory
    SVDFParams (luci_interpreter)
    SVDFPrinter (circledump)
    SVDFPrinter (tfldump)
    SymbolTable (flatbuffers)
    SymbolTable (locop)
    SymbolTable (moco::onnx)
    SymbolTable (moco)
    T
    -
    TAEComputer (QErrorComputer)
    Tanh (loco)
    Tanh (luci_interpreter::kernels)
    TanhCanonicalizer (moco::tf)
    TanhChef
    TanhChefFactory
    TanhGraphBuilder (moco)
    TanhImpl (mir_interpreter)
    TanhImpl< uint8_t > (mir_interpreter)
    TanhOp (mir::ops)
    TargetPlatform (circle_planner)
    Tensor (circle_eval_diff)
    Tensor (luci_interpreter)
    Tensor (mir)
    Tensor (nnfw::cker)
    Tensor (onert::backend::basic)
    Tensor (onert::backend::train)
    Tensor
    Tensor3D
    Tensor4D
    RuntimeGraph::TensorAllocPlan (luci_interpreter)
    TensorAxisSet (loco)
    TensorBags (tflimport)
    TensorBroadcast (loco)
    TensorBroadcastConverter (exo)
    TensorBroadcastLayer
    TensorBuilder (onert::backend::basic)
    TensorBuilder (onert::backend::train)
    TensorBuilder (onert::backend::gpu_cl)
    TensorBuilder (onert::backend::builtin)
    TensorConcat (loco)
    TensorConcatConverter (exo)
    TensorConstantPad (loco)
    TensorContext (nnkit::support::caffe)
    TensorContext (nnkit::support::moco::tf)
    TensorContext (nnkit::support::onnx)
    TensorContext (nnkit::support::tf)
    TensorContext (nnkit::support::tflite)
    TensorContext (nnkit)
    TensorContext (tflimport)
    TensorContractionInputMapper< Scalar_, Index, Side, TensorEvaluator< const TensorReshapingOp< NewDimension, const TensorImagePatchOp< Rows, Cols, ArgType > >, Device >, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment > (Eigen::internal)
    TensorContractionSubMapper< Scalar, Index, Side, TensorEvaluator< const TensorReshapingOp< NewDimension, const TensorImagePatchOp< Rows, Cols, ArgType > >, Device >, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment > (Eigen::internal)
    TensorDataInfo (npud::core)
    TensorDataInfos (npud::core)
    TensorDataMap (nnkit::support::tf)
    TensorDataType (circle_eval_diff)
    TensorDescriptor (nnc::sir)
    TensorEvaluatorHasPartialPacket (Eigen::internal)
    TensorFiller (souschef)
    TensorInfo (onert::backend::gpu_cl::operand)
    tensorinfo
    TensorManager (onert::backend::gpu_cl)
    TensorManager (onert::backend::train)
    TensorName (moco)
    TensorNameCompare (moco)
    TensorOperand (ann)
    TensorPackEnumerator (moco)
    TensorReduce (loco)
    TensorReduceConverter (exo)
    TensorRegistries (onert::compiler)
    TensorRegistries (onert::compiler::train)
    TensorRegistry (onert::backend::gpu_cl)
    TensorRegistry (onert::backend::builtin::train)
    TensorRegistry (onert::backend::builtin)
    TensorSet (nnkit::support::onnx)
    TensorSet (nnkit::support::tflite)
    TensorShape (circle_eval_diff)
    TensorShape (loco)
    TensorSignature (tfinfo)
    TensorSignature (tfinfo::v2)
    TensorSliceEnumerator (moco)
    TensorTranspose (loco)
    TensorTransposeConverter (exo)
    TensorType (mir)
    TensorVariant (mir)
    TensorView (nnfw::tflite)
    TestCase (test_utils)
    TestData32IntAdd (luci_interpreter::test_kernel)
    TestData32IntAdd (onert_micro::test_model)
    TestData64IntAdd (onert_micro::test_model)
    TestData64IntAdd (luci_interpreter::test_kernel)
    TestDataAbsBase (luci_interpreter::test_kernel)
    TestDataAbsBase (onert_micro::test_model)
    TestDataAddBase (luci_interpreter::test_kernel)
    TestDataAddBase (onert_micro::test_model)
    TestDataAddNBase (luci_interpreter::test_kernel)
    TestDataArgMaxBase (luci_interpreter::test_kernel)
    TestDataArgMinBase (luci_interpreter::test_kernel)
    TestDataAveragePool2DBase (luci_interpreter::test_kernel)
    TestDataBase (luci_interpreter::test_kernel)
    TestDataBase (onert_micro::test_model)
    TestDataBatchToSpaceNDBase (luci_interpreter::test_kernel)
    TestDataBoolLogicalAnd (luci_interpreter::test_kernel)
    TestDataBoolLogicalNot (luci_interpreter::test_kernel)
    TestDataBoolLogicalOr (luci_interpreter::test_kernel)
    TestDataBroadcastToBase (luci_interpreter::test_kernel)
    TestDataCastBase (luci_interpreter::test_kernel)
    TestDataCeilBase (luci_interpreter::test_kernel)
    TestDataConcatenationBase (luci_interpreter::test_kernel)
    TestDataConcatenationBase (onert_micro::test_model)
    TestDataConv2DBase (luci_interpreter::test_kernel)
    TestDataConv2DBase (onert_micro::test_model)
    TestDataCosBase (luci_interpreter::test_kernel)
    TestDataDepthToSpaceBase (luci_interpreter::test_kernel)
    TestDataDepthwiseConv2DBase (luci_interpreter::test_kernel)
    TestDataDequantizeBase (luci_interpreter::test_kernel)
    TestDataDivBase (luci_interpreter::test_kernel)
    TestDataEluBase (luci_interpreter::test_kernel)
    TestDataEqualBase (luci_interpreter::test_kernel)
    TestDataExpandDimsKernel (luci_interpreter::test_kernel)
    TestDataExpBase (luci_interpreter::test_kernel)
    TestDataFillKernel (luci_interpreter::test_kernel)
    TestDataFloatAbs (luci_interpreter::test_kernel)
    TestDataFloatAbs (onert_micro::test_model)
    TestDataFloatAdd (luci_interpreter::test_kernel)
    TestDataFloatAdd (onert_micro::test_model)
    TestDataFloatAddN (luci_interpreter::test_kernel)
    TestDataFloatArgMax (luci_interpreter::test_kernel)
    TestDataFloatArgMin (luci_interpreter::test_kernel)
    TestDataFloatAveragePool2D (luci_interpreter::test_kernel)
    TestDataFloatBatchToSpaceND (luci_interpreter::test_kernel)
    TestDataFloatBroadcastTo (luci_interpreter::test_kernel)
    TestDataFloatCast (luci_interpreter::test_kernel)
    TestDataFloatCeil (luci_interpreter::test_kernel)
    TestDataFloatConcatenation (luci_interpreter::test_kernel)
    TestDataFloatConcatenation (onert_micro::test_model)
    TestDataFloatConv2D (luci_interpreter::test_kernel)
    TestDataFloatConv2D (onert_micro::test_model)
    TestDataFloatCos (luci_interpreter::test_kernel)
    TestDataFloatDepthToSpace (luci_interpreter::test_kernel)
    TestDataFloatDepthwiseConv2D (luci_interpreter::test_kernel)
    TestDataFloatDequantize (luci_interpreter::test_kernel)
    TestDataFloatDiv (luci_interpreter::test_kernel)
    TestDataFloatElu (luci_interpreter::test_kernel)
    TestDataFloatEqual (luci_interpreter::test_kernel)
    TestDataFloatExp (luci_interpreter::test_kernel)
    TestDataFloatFloor (luci_interpreter::test_kernel)
    TestDataFloatFloorDiv (luci_interpreter::test_kernel)
    TestDataFloatFloorMod (luci_interpreter::test_kernel)
    TestDataFloatFullyConnected (onert_micro::test_model)
    TestDataFloatFullyConnected (luci_interpreter::test_kernel)
    TestDataFloatGather (luci_interpreter::test_kernel)
    TestDataFloatGather (onert_micro::test_model)
    TestDataFloatGatherND (luci_interpreter::test_kernel)
    TestDataFloatGreater (luci_interpreter::test_kernel)
    TestDataFloatGreaterEqual (luci_interpreter::test_kernel)
    TestDataFloatL2Normalization (luci_interpreter::test_kernel)
    TestDataFloatL2Pool2D (luci_interpreter::test_kernel)
    TestDataFloatLeakyReLU (luci_interpreter::test_kernel)
    TestDataFloatLess (luci_interpreter::test_kernel)
    TestDataFloatLessEqual (luci_interpreter::test_kernel)
    TestDataFloatLog (luci_interpreter::test_kernel)
    TestDataFloatLogistic (luci_interpreter::test_kernel)
    TestDataFloatLogistic (onert_micro::test_model)
    TestDataFloatLogSoftmax (luci_interpreter::test_kernel)
    TestDataFloatMaximum (luci_interpreter::test_kernel)
    TestDataFloatMaxPool2D (onert_micro::test_model)
    TestDataFloatMaxPool2D (luci_interpreter::test_kernel)
    TestDataFloatMean (luci_interpreter::test_kernel)
    TestDataFloatMinimum (luci_interpreter::test_kernel)
    TestDataFloatMirrorPad (luci_interpreter::test_kernel)
    TestDataFloatMul (onert_micro::test_model)
    TestDataFloatMul (luci_interpreter::test_kernel)
    TestDataFloatNeg (luci_interpreter::test_kernel)
    TestDataFloatNotEqual (luci_interpreter::test_kernel)
    TestDataFloatPack (luci_interpreter::test_kernel)
    TestDataFloatPack (onert_micro::test_model)
    TestDataFloatPad (luci_interpreter::test_kernel)
    TestDataFloatPadV2 (luci_interpreter::test_kernel)
    TestDataFloatPRelu (luci_interpreter::test_kernel)
    TestDataFloatQuantize (luci_interpreter::test_kernel)
    TestDataFloatReduceMax (luci_interpreter::test_kernel)
    TestDataFloatReduceProd (luci_interpreter::test_kernel)
    TestDataFloatReLU (luci_interpreter::test_kernel)
    TestDataFloatReLU6 (luci_interpreter::test_kernel)
    TestDataFloatResizeBilinear (luci_interpreter::test_kernel)
    TestDataFloatResizeNearestNeighbor (luci_interpreter::test_kernel)
    TestDataFloatRound (luci_interpreter::test_kernel)
    TestDataFloatRsqrt (luci_interpreter::test_kernel)
    TestDataFloatSelectV2 (luci_interpreter::test_kernel)
    TestDataFloatSin (luci_interpreter::test_kernel)
    TestDataFloatSlice (luci_interpreter::test_kernel)
    TestDataFloatSpaceToBatchND (luci_interpreter::test_kernel)
    TestDataFloatSpaceToDepth (luci_interpreter::test_kernel)
    TestDataFloatSplit (luci_interpreter::test_kernel)
    TestDataFloatSqrt (luci_interpreter::test_kernel)
    TestDataFloatSquare (luci_interpreter::test_kernel)
    TestDataFloatSquaredDifference (luci_interpreter::test_kernel)
    TestDataFloatSqueeze (luci_interpreter::test_kernel)
    TestDataFloatSub (luci_interpreter::test_kernel)
    TestDataFloatSub (onert_micro::test_model)
    TestDataFloatSum (luci_interpreter::test_kernel)
    TestDataFloatSVDF (luci_interpreter::test_kernel)
    TestDataFloatTanh (luci_interpreter::test_kernel)
    TestDataFloatTransposeConv (luci_interpreter::test_kernel)
    TestDataFloatUnidirectionalLSTM (luci_interpreter::test_kernel)
    TestDataFloatUnpack (luci_interpreter::test_kernel)
    TestDataFloatZerosLike (luci_interpreter::test_kernel)
    TestDataFloorBase (luci_interpreter::test_kernel)
    TestDataFloorDivBase (luci_interpreter::test_kernel)
    TestDataFloorModBase (luci_interpreter::test_kernel)
    TestDataFullyConnectedBase (luci_interpreter::test_kernel)
    TestDataFullyConnectedBase (onert_micro::test_model)
    TestDataGatherBase (luci_interpreter::test_kernel)
    TestDataGatherBase (onert_micro::test_model)
    TestDataGatherNDBase (luci_interpreter::test_kernel)
    TestDataGreaterBase (luci_interpreter::test_kernel)
    TestDataGreaterEqualBase (luci_interpreter::test_kernel)
    TestDataIfKernel (luci_interpreter::test_kernel)
    TestDataInputTypeMismatchAddN (luci_interpreter::test_kernel)
    TestDataInputTypeMismatchConcatenation (luci_interpreter::test_kernel)
    TestDataInputTypeMismatchConcatenation (onert_micro::test_model)
    TestDataInt8UnidirectionalLSTM (luci_interpreter::test_kernel)
    TestDataIntEqual (luci_interpreter::test_kernel)
    TestDataIntGather (luci_interpreter::test_kernel)
    TestDataIntGather (onert_micro::test_model)
    TestDataIntLess (luci_interpreter::test_kernel)
    TestDataIntMul (onert_micro::test_model)
    TestDataIntMul (luci_interpreter::test_kernel)
    TestDataIntPack (luci_interpreter::test_kernel)
    TestDataIntPack (onert_micro::test_model)
    TestDataIntReduceProd (luci_interpreter::test_kernel)
    TestDataIntSplit (luci_interpreter::test_kernel)
    TestDataIntSub (luci_interpreter::test_kernel)
    TestDataIntSub (onert_micro::test_model)
    TestDataL2NormalizationBase (luci_interpreter::test_kernel)
    TestDataL2Pool2DBase (luci_interpreter::test_kernel)
    TestDataLeakyReLUBase (luci_interpreter::test_kernel)
    TestDataLessBase (luci_interpreter::test_kernel)
    TestDataLessEqualBase (luci_interpreter::test_kernel)
    TestDataLogBase (luci_interpreter::test_kernel)
    TestDataLogicalAndBase (luci_interpreter::test_kernel)
    TestDataLogicalNotBase (luci_interpreter::test_kernel)
    TestDataLogicalOrBase (luci_interpreter::test_kernel)
    TestDataLogisticBase (onert_micro::test_model)
    TestDataLogisticBase (luci_interpreter::test_kernel)
    TestDataLogSoftmaxBase (luci_interpreter::test_kernel)
    TestDataMaximumBase (luci_interpreter::test_kernel)
    TestDataMaxPool2DBase (luci_interpreter::test_kernel)
    TestDataMaxPool2DBase (onert_micro::test_model)
    TestDataMeanBase (luci_interpreter::test_kernel)
    TestDataMinimumBase (luci_interpreter::test_kernel)
    TestDataMirrorPadBase (luci_interpreter::test_kernel)
    TestDataMulBase (luci_interpreter::test_kernel)
    TestDataMulBase (onert_micro::test_model)
    TestDataNegBase (luci_interpreter::test_kernel)
    TestDataNotEqualBase (luci_interpreter::test_kernel)
    TestDataOutputWrongOutputArgMax (luci_interpreter::test_kernel)
    TestDataOutputWrongOutputArgMin (luci_interpreter::test_kernel)
    TestDataPackBase (luci_interpreter::test_kernel)
    TestDataPackBase (onert_micro::test_model)
    TestDataPadBase (luci_interpreter::test_kernel)
    TestDataPadV2Base (luci_interpreter::test_kernel)
    TestDataPReluBase (luci_interpreter::test_kernel)
    TestDataQuantizeBase (luci_interpreter::test_kernel)
    TestDataQuantLess (luci_interpreter::test_kernel)
    TestDataQuantU8Pack (onert_micro::test_model)
    TestDataQuantU8Pack (luci_interpreter::test_kernel)
    TestDataReduceCommonBase (luci_interpreter::test_kernel)
    TestDataReduceMaxBase (luci_interpreter::test_kernel)
    TestDataReLU6Base (luci_interpreter::test_kernel)
    TestDataReLUBase (luci_interpreter::test_kernel)
    TestDataReluConcatenation (luci_interpreter::test_kernel)
    TestDataReluConcatenation (onert_micro::test_model)
    TestDataReshapeKernel (onert_micro::test_model)
    TestDataReshapeKernel (luci_interpreter::test_kernel)
    TestDataResizeBilinearBase (luci_interpreter::test_kernel)
    TestDataResizeNearestNeighborBase (luci_interpreter::test_kernel)
    TestDataRoundBase (luci_interpreter::test_kernel)
    TestDataRsqrtBase (luci_interpreter::test_kernel)
    TestDataS16Slice (luci_interpreter::test_kernel)
    TestDataS32Concatenation (luci_interpreter::test_kernel)
    TestDataS32Concatenation (onert_micro::test_model)
    TestDataS64Concatenation (onert_micro::test_model)
    TestDataS64Concatenation (luci_interpreter::test_kernel)
    TestDataS8FullyConnected (onert_micro::test_model)
    TestDataSelectV2Base (luci_interpreter::test_kernel)
    TestDataShapeKernel (luci_interpreter::test_kernel)
    TestDataShapeKernel (onert_micro::test_model)
    TestDataSinBase (luci_interpreter::test_kernel)
    TestDataSliceBase (luci_interpreter::test_kernel)
    TestDataSpaceToBatchNDBase (luci_interpreter::test_kernel)
    TestDataSpaceToDepthBase (luci_interpreter::test_kernel)
    TestDataSplitBase (luci_interpreter::test_kernel)
    TestDataSplitVKernel (luci_interpreter::test_kernel)
    TestDataSqrtBase (luci_interpreter::test_kernel)
    TestDataSquareBase (luci_interpreter::test_kernel)
    TestDataSquaredDifferenceBase (luci_interpreter::test_kernel)
    TestDataSqueezeBase (luci_interpreter::test_kernel)
    TestDataStridedSliceKernel (luci_interpreter::test_kernel)
    TestDataStridedSliceKernel (onert_micro::test_model)
    TestDataSubBase (luci_interpreter::test_kernel)
    TestDataSubBase (onert_micro::test_model)
    TestDataSumBase (luci_interpreter::test_kernel)
    TestDataSVDFBase (luci_interpreter::test_kernel)
    TestDataTanhBase (luci_interpreter::test_kernel)
    TestDataTransposeConvBase (luci_interpreter::test_kernel)
    TestDataTransposeKernel (luci_interpreter::test_kernel)
    TestDataTypeMismatchSlice (luci_interpreter::test_kernel)
    TestDataU8Conv2D (luci_interpreter::test_kernel)
    TestDataU8FullyConnected (luci_interpreter::test_kernel)
    TestDataU8Slice (luci_interpreter::test_kernel)
    TestDataUint8ResizeBilinear (luci_interpreter::test_kernel)
    TestDataUnidirectionalLSTMBase (luci_interpreter::test_kernel)
    TestDataUnpackBase (luci_interpreter::test_kernel)
    TestDataWhileKernel (luci_interpreter::test_kernel)
    TestDataWrongAxisConcatenation (luci_interpreter::test_kernel)
    TestDataWrongAxisConcatenation (onert_micro::test_model)
    TestDataWrongBeginTypeSlice (luci_interpreter::test_kernel)
    TestDataWrongInputShapeSlice (luci_interpreter::test_kernel)
    TestDataWrongSizeTypeSlice (luci_interpreter::test_kernel)
    TestDataZerosLikeBase (luci_interpreter::test_kernel)
    TestGraph (exo::test)
    TestGraph (luci::test)
    TestMemoryManager (luci_interpreter)
    TestRunner (test_utils)
    TextFormatter (nnfw::misc::feature)
    TFAdd (moco)
    TFAvgPool (moco)
    TFBiasAdd (moco)
    TFConcatV2 (moco)
    TFConst (moco)
    TFConv2D (moco)
    TFConv2DBackpropInput (moco)
    TFDepthwiseConv2dNative (moco)
    TFDialect (moco)
    TFFakeQuantWithMinMaxVars (moco)
    TFFusedBatchNorm (moco)
    TFIdentity (moco)
    TFLAdd (locoex)
    TFLAveragePool2D (locoex)
    TflBufferContext::TflBuffer (tflimport)
    TflBufferContext (tflimport)
    TFLConcatenation (locoex)
    TFLConst (locoex)
    TFLConv2D (locoex)
    TFLDepthwiseConv2D (locoex)
    TFLDialect (locoex)
    TFLDiv (locoex)
    TFLExporter (exo)
    TFLFullyConnected (locoex)
    TfLiteDimensionMetadata (sparsity)
    TFliteImport (tflchef)
    TfLiteIntArray (sparsity)
    TfLiteInterpMatchApp
    TFliteOpAbs (tflchef)
    TFliteOpAdd (tflchef)
    TFliteOpAddN (tflchef)
    TFliteOpArgMax (tflchef)
    TFliteOpArgMin (tflchef)
    TFliteOpAveragePool2D (tflchef)
    TFliteOpBatchMatMul (tflchef)
    TFliteOpBatchToSpaceND (tflchef)
    TFliteOpBidirectionalSequenceLSTM (tflchef)
    TFliteOpBroadcastTo (tflchef)
    TFliteOpCast (tflchef)
    TFliteOpCeil (tflchef)
    TFliteOpChef (tflchef)
    TFliteOpConcatenation (tflchef)
    TFliteOpConv2D (tflchef)
    TFliteOpCos (tflchef)
    TFLiteOpCreator (mir_tflite)
    TFliteOpCumsum (tflchef)
    TFliteOpDepthToSpace (tflchef)
    TFliteOpDepthwiseConv2D (tflchef)
    TFliteOpDequantize (tflchef)
    TFliteOpDiv (tflchef)
    TFliteOpELU (tflchef)
    TFliteOpEqual (tflchef)
    TFliteOpExp (tflchef)
    TFliteOpExpandDims (tflchef)
    TFliteOpFakeQuant (tflchef)
    TFliteOpFill (tflchef)
    TFliteOpFloor (tflchef)
    TFliteOpFloorDiv (tflchef)
    TFliteOpFloorMod (tflchef)
    TFliteOpFullyConnected (tflchef)
    TFliteOpGather (tflchef)
    TFliteOpGatherNd (tflchef)
    TFliteOpGelu (tflchef)
    TFliteOpGreater (tflchef)
    TFliteOpGreaterEqual (tflchef)
    TFliteOpHardSwish (tflchef)
    TFliteOpL2Normalize (tflchef)
    TFliteOpL2Pool2D (tflchef)
    TFliteOpLeakyRelu (tflchef)
    TFliteOpLess (tflchef)
    TFliteOpLessEqual (tflchef)
    TFliteOpLocalResponseNormalization (tflchef)
    TFliteOpLog (tflchef)
    TFliteOpLogicalAnd (tflchef)
    TFliteOpLogicalNot (tflchef)
    TFliteOpLogicalOr (tflchef)
    TFliteOpLogistic (tflchef)
    TFliteOpLogSoftmax (tflchef)
    TFliteOpMatrixDiag (tflchef)
    TFliteOpMatrixSetDiag (tflchef)
    TFliteOpMaximum (tflchef)
    TFliteOpMaxPool2D (tflchef)
    TFliteOpMean (tflchef)
    TFliteOpMinimum (tflchef)
    TFliteOpMirrorPad (tflchef)
    TFliteOpMul (tflchef)
    TFliteOpNeg (tflchef)
    TFliteOpNonMaxSuppressionV4 (tflchef)
    TFliteOpNonMaxSuppressionV5 (tflchef)
    TFliteOpNotEqual (tflchef)
    TFliteOpOneHot (tflchef)
    TFliteOpPack (tflchef)
    TFliteOpPad (tflchef)
    TFliteOpPadV2 (tflchef)
    TFliteOpPow (tflchef)
    TFliteOpPRelu (tflchef)
    TFliteOpQuantize (tflchef)
    TFliteOpRange (tflchef)
    TFliteOpRank (tflchef)
    TFliteOpReduceAny (tflchef)
    TFliteOpReduceMax (tflchef)
    TFliteOpReduceMin (tflchef)
    TFliteOpReduceProd (tflchef)
    TFliteOpRegistry (tflchef)
    TFliteOpReLU (tflchef)
    TFliteOpReLU6 (tflchef)
    TFliteOpReLUN1To1 (tflchef)
    TFliteOpReshape (tflchef)
    TFliteOpResizeBilinear (tflchef)
    TFliteOpResizeNearestNeighbor (tflchef)
    TFliteOpReverseSequence (tflchef)
    TFliteOpReverseV2 (tflchef)
    TFliteOpRound (tflchef)
    TFliteOpRsqrt (tflchef)
    TFliteOpScatterNd (tflchef)
    TFliteOpSegmentSum (tflchef)
    TFliteOpSelect (tflchef)
    TFliteOpSelectV2 (tflchef)
    TFliteOpShape (tflchef)
    TFliteOpSin (tflchef)
    TFliteOpSlice (tflchef)
    TFliteOpSoftmax (tflchef)
    TFliteOpSpaceToBatchND (tflchef)
    TFliteOpSpaceToDepth (tflchef)
    TFliteOpSparseToDense (tflchef)
    TFliteOpSplit (tflchef)
    TFliteOpSplitV (tflchef)
    TFliteOpSqrt (tflchef)
    TFliteOpSquare (tflchef)
    TFliteOpSquaredDifference (tflchef)
    TFliteOpSqueeze (tflchef)
    TFliteOpStridedSlice (tflchef)
    TFliteOpSub (tflchef)
    TFliteOpSum (tflchef)
    TFliteOpSVDF (tflchef)
    TFliteOpTanh (tflchef)
    TFliteOpTile (tflchef)
    TFliteOpTopKV2 (tflchef)
    TFliteOpTranspose (tflchef)
    TFliteOpTransposeConv (tflchef)
    TFliteOpUnidirectionalSequenceLSTM (tflchef)
    TFliteOpUnique (tflchef)
    TFliteOpUnpack (tflchef)
    TFliteOpWhere (tflchef)
    TFliteOpWhile (tflchef)
    TFliteOpZerosLike (tflchef)
    TfLiteSparsity (sparsity)
    TFLMaximum (locoex)
    TFLMaxPool2D (locoex)
    TFLMean (locoex)
    TFLModel (tflite2circle)
    TFLMul (locoex)
    TFLNode (locoex)
    TFLNodeImpl (locoex)
    TFLNodeMixin (locoex)
    TFLNodeMixin< TFLNodeTrait::Bias > (locoex)
    TFLNodeMixin< TFLNodeTrait::FusedActFunc > (locoex)
    TFLNodeMutableVisitor (locoex)
    TFLNodeMutableVisitorBase (locoex)
    TFLNodeVisitor (locoex)
    TFLNodeVisitorBase (locoex)
    TflOpCodeContext (tflimport)
    TFLRelu (locoex)
    TFLRelu6 (locoex)
    TFLReshape (locoex)
    TFLRsqrt (locoex)
    TFLShapeInferenceRule (locoex)
    TFLSqrt (locoex)
    TFLSquaredDifference (locoex)
    TFLSub (locoex)
    TFLTranspose (locoex)
    TFLTransposeConv (locoex)
    TFLTypeInferenceRule (locoex)
    TFMaximum (moco)
    TFMaxPool (moco)
    TFMean (moco)
    TFMul (moco)
    TFNode (moco)
    TFNodeBuildTester (moco::test)
    TFNodeBuildTester (moco::tf::test)
    TFNodeImpl (moco)
    TFNodeMutableVisitor (moco)
    TFNodeMutableVisitorBase (moco)
    TFNodeSummaryBuilderFactory (moco::tf)
    TFNodeVisitor (moco)
    TFNodeVisitorBase (moco)
    TFOptimizer (moco::tf)
    TFPack (moco)
    TFPad (moco)
    TFPlaceholder (moco)
    TFPush (moco)
    TFPushCanonicalizer (moco::tf)
    TFRealDiv (moco)
    TFRelu (moco)
    TFRelu6 (moco)
    TFReshape (moco)
    TFRsqrt (moco)
    TFShape (moco)
    TFShapeInferenceRule (moco)
    TFSoftmax (moco)
    TFSqrt (moco)
    TFSquaredDifference (moco)
    TFSqueeze (moco)
    TFStopGradient (moco)
    TFStridedSlice (moco)
    TFSub (moco)
    TFTanh (moco)
    TFTypeInferenceRule (moco)
    ThreadPool (onert::exec)
    Tile (luci_interpreter::kernels)
    Tile (onert::ir::operation)
    TileChef
    TileChefFactory
    TileLayer (onert::backend::cpu::ops)
    TISOData (luci_interpreter::kernels)
    TISOKernel (luci_interpreter::kernels)
    TopContainer (nnfw::rt::optimized_ops)
    TopKMatchPrinter (circle_eval_diff)
    TopKV2 (onert::ir::operation)
    TopKV2Chef
    TopKV2ChefFactory
    TopologicalSortHelper (TopologicalSortHelper)
    ToStringVisitor (flatbuffers)
    TracingCtx (onert::util)
    TracingObserver (onert::exec)
    TrainableBackendContext (onert::backend::train)
    TrainableCodeAndInfo (onert::compiler::train)
    TrainableContextData (onert::backend::train)
    TrainableExecutor (onert::exec::train)
    TrainableExecutors (onert::exec::train)
    TrainableFnSequence (onert::exec::train)
    TrainableGraph (onert::ir::train)
    TrainableOperationConverter (onert::compiler::train)
    TrainableOperationVisitor (onert::ir::train)
    TrainableTensor (onert::backend::basic::train)
    TrainingCompiler (onert::compiler::train)
    TrainingInfo (onert::ir::train)
    TrainingKernelRegistry (onert::backend::train::ops)
    Transformer (mir2loco)
    TransformMinMaxToRelu6Pass (luci)
    TransformMinReluToRelu6Pass (luci)
    Transpose (luci_interpreter::kernels)
    Transpose (onert::ir::operation)
    TransposeChef
    TransposeChefFactory
    TransposeConv (luci_interpreter::kernels)
    TransposeConv (onert::ir::operation)
    TransposeConvChef
    TransposeConvChefFactory
    TransposeConvParams (nnfw::cker)
    TransposeConvParams (luci_interpreter)
    TransposeConvPrinter (circledump)
    TransposeConvPrinter (tfldump)
    TransposedConv2D (loco)
    TransposedConv2DConverter (exo)
    TransposedConv2DLayer
    TransposeImpl (mir_interpreter)
    TransposeLayer (onert::backend::cpu::ops)
    TransposeOp (mir::ops)
    TransposeParams (luci_interpreter_pal)
    TransposeParams (nnfw::cker)
    TransposeTensor (nnc::sir)
    TrixBackend (npud::backend::trix)
    TrixDevice (npud::backend::trix)
    TrixLoader (onert::trix_loader)
    TrixMetaReader (onert::trix_loader)
    TrixModelInfo (npud::backend::trix)
    TrixRequestInfo (npud::backend::trix)
    TruncatedNormalDistribution (nnfw::cker::random)
    TruncatedNormalDistribution< SingleSampleGenerator, double > (nnfw::cker::random)
    TruncatedNormalDistribution< SingleSampleGenerator, Eigen::half > (nnfw::cker::random)
    TruncatedNormalDistribution< SingleSampleGenerator, float > (nnfw::cker::random)
    TTypes (nnfw::cker)
    Type (flatbuffers)
    TypedFloatConstantGenerator (flatbuffers)
    TypedNodeBuilder (luci)
    TypedVector (flexbuffers)
    TypeInference (exo::circle_detail)
    TypeInference (exo)
    TypeInference (loco)
    TypeInferencePass (exo)
    TypeInferencePass (moco::tf)
    TypeInferenceRule (loco)
    TypeInferenceSession (loco)
    TypeInfo (onert::backend::custom)
    TypeInfo (onert::ir)
    TypeMapper (luci)
    TypeMapper< float > (luci)
    TypeMapper< int16_t > (luci)
    TypeMapper< int32_t > (luci)
    TypeMapper< int64_t > (luci)
    TypeMapper< int8_t > (luci)
    TypeMapper< uint16_t > (luci)
    TypeMapper< uint32_t > (luci)
    TypeMapper< uint64_t > (luci)
    TypeMapper< uint8_t > (luci)
    TypeName (arser)
    TypeName< bool > (arser)
    TypeName< const char * > (arser)
    TypeName< float > (arser)
    TypeName< int > (arser)
    TypeName< std::string > (arser)
    TypeName< std::vector< const char * > > (arser)
    TypeName< std::vector< float > > (arser)
    TypeName< std::vector< int > > (arser)
    TypeName< std::vector< std::string > > (arser)
    TypeShapeReadyPhase (exo::test)
    +
    TAEComputer (QErrorComputer)
    Tanh (loco)
    Tanh (luci_interpreter::kernels)
    TanhCanonicalizer (moco::tf)
    TanhChef
    TanhChefFactory
    TanhGraphBuilder (moco)
    TanhImpl (mir_interpreter)
    TanhImpl< uint8_t > (mir_interpreter)
    TanhOp (mir::ops)
    TargetPlatform (circle_planner)
    Tensor (circle_eval_diff)
    Tensor (luci_interpreter)
    Tensor (mir)
    Tensor (nnfw::cker)
    Tensor (onert::backend::basic)
    Tensor (onert::backend::train)
    Tensor
    Tensor3D
    Tensor4D
    RuntimeGraph::TensorAllocPlan (luci_interpreter)
    TensorAxisSet (loco)
    TensorBags (tflimport)
    TensorBroadcast (loco)
    TensorBroadcastConverter (exo)
    TensorBroadcastLayer
    TensorBuilder (onert::backend::basic)
    TensorBuilder (onert::backend::train)
    TensorBuilder (onert::backend::builtin)
    TensorBuilder (onert::backend::gpu_cl)
    TensorConcat (loco)
    TensorConcatConverter (exo)
    TensorConstantPad (loco)
    TensorContext (nnkit::support::tf)
    TensorContext (tflimport)
    TensorContext (nnkit)
    TensorContext (nnkit::support::tflite)
    TensorContext (nnkit::support::onnx)
    TensorContext (nnkit::support::moco::tf)
    TensorContext (nnkit::support::caffe)
    TensorContractionInputMapper< Scalar_, Index, Side, TensorEvaluator< const TensorReshapingOp< NewDimension, const TensorImagePatchOp< Rows, Cols, ArgType > >, Device >, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment > (Eigen::internal)
    TensorContractionSubMapper< Scalar, Index, Side, TensorEvaluator< const TensorReshapingOp< NewDimension, const TensorImagePatchOp< Rows, Cols, ArgType > >, Device >, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment > (Eigen::internal)
    TensorDataInfo (npud::core)
    TensorDataInfos (npud::core)
    TensorDataMap (nnkit::support::tf)
    TensorDataType (circle_eval_diff)
    TensorDescriptor (nnc::sir)
    TensorEvaluatorHasPartialPacket (Eigen::internal)
    TensorFiller (souschef)
    TensorInfo (onert::backend::gpu_cl::operand)
    tensorinfo
    TensorManager (onert::backend::gpu_cl)
    TensorManager (onert::backend::train)
    TensorName (moco)
    TensorNameCompare (moco)
    TensorOperand (ann)
    TensorPackEnumerator (moco)
    TensorReduce (loco)
    TensorReduceConverter (exo)
    TensorRegistries (onert::compiler)
    TensorRegistries (onert::compiler::train)
    TensorRegistry (onert::backend::gpu_cl)
    TensorRegistry (onert::backend::builtin)
    TensorRegistry (onert::backend::builtin::train)
    TensorSet (nnkit::support::onnx)
    TensorSet (nnkit::support::tflite)
    TensorShape (circle_eval_diff)
    TensorShape (loco)
    TensorSignature (tfinfo)
    TensorSignature (tfinfo::v2)
    TensorSliceEnumerator (moco)
    TensorTranspose (loco)
    TensorTransposeConverter (exo)
    TensorType (mir)
    TensorVariant (mir)
    TensorView (nnfw::tflite)
    TestCase (test_utils)
    TestData32IntAdd (luci_interpreter::test_kernel)
    TestData32IntAdd (onert_micro::test_model)
    TestData64IntAdd (luci_interpreter::test_kernel)
    TestData64IntAdd (onert_micro::test_model)
    TestDataAbsBase (luci_interpreter::test_kernel)
    TestDataAbsBase (onert_micro::test_model)
    TestDataAddBase (luci_interpreter::test_kernel)
    TestDataAddBase (onert_micro::test_model)
    TestDataAddNBase (luci_interpreter::test_kernel)
    TestDataArgMaxBase (luci_interpreter::test_kernel)
    TestDataArgMinBase (luci_interpreter::test_kernel)
    TestDataAveragePool2DBase (luci_interpreter::test_kernel)
    TestDataBase (luci_interpreter::test_kernel)
    TestDataBase (onert_micro::test_model)
    TestDataBatchToSpaceNDBase (luci_interpreter::test_kernel)
    TestDataBoolLogicalAnd (luci_interpreter::test_kernel)
    TestDataBoolLogicalNot (luci_interpreter::test_kernel)
    TestDataBoolLogicalOr (luci_interpreter::test_kernel)
    TestDataBroadcastToBase (luci_interpreter::test_kernel)
    TestDataCastBase (luci_interpreter::test_kernel)
    TestDataCeilBase (luci_interpreter::test_kernel)
    TestDataConcatenationBase (luci_interpreter::test_kernel)
    TestDataConcatenationBase (onert_micro::test_model)
    TestDataConv2DBase (luci_interpreter::test_kernel)
    TestDataConv2DBase (onert_micro::test_model)
    TestDataCosBase (luci_interpreter::test_kernel)
    TestDataDepthToSpaceBase (luci_interpreter::test_kernel)
    TestDataDepthwiseConv2DBase (luci_interpreter::test_kernel)
    TestDataDequantizeBase (luci_interpreter::test_kernel)
    TestDataDivBase (luci_interpreter::test_kernel)
    TestDataEluBase (luci_interpreter::test_kernel)
    TestDataEqualBase (luci_interpreter::test_kernel)
    TestDataExpandDimsKernel (luci_interpreter::test_kernel)
    TestDataExpBase (luci_interpreter::test_kernel)
    TestDataFillKernel (luci_interpreter::test_kernel)
    TestDataFloatAbs (luci_interpreter::test_kernel)
    TestDataFloatAbs (onert_micro::test_model)
    TestDataFloatAdd (luci_interpreter::test_kernel)
    TestDataFloatAdd (onert_micro::test_model)
    TestDataFloatAddN (luci_interpreter::test_kernel)
    TestDataFloatArgMax (luci_interpreter::test_kernel)
    TestDataFloatArgMin (luci_interpreter::test_kernel)
    TestDataFloatAveragePool2D (luci_interpreter::test_kernel)
    TestDataFloatBatchToSpaceND (luci_interpreter::test_kernel)
    TestDataFloatBroadcastTo (luci_interpreter::test_kernel)
    TestDataFloatCast (luci_interpreter::test_kernel)
    TestDataFloatCeil (luci_interpreter::test_kernel)
    TestDataFloatConcatenation (luci_interpreter::test_kernel)
    TestDataFloatConcatenation (onert_micro::test_model)
    TestDataFloatConv2D (luci_interpreter::test_kernel)
    TestDataFloatConv2D (onert_micro::test_model)
    TestDataFloatCos (luci_interpreter::test_kernel)
    TestDataFloatDepthToSpace (luci_interpreter::test_kernel)
    TestDataFloatDepthwiseConv2D (luci_interpreter::test_kernel)
    TestDataFloatDequantize (luci_interpreter::test_kernel)
    TestDataFloatDiv (luci_interpreter::test_kernel)
    TestDataFloatElu (luci_interpreter::test_kernel)
    TestDataFloatEqual (luci_interpreter::test_kernel)
    TestDataFloatExp (luci_interpreter::test_kernel)
    TestDataFloatFloor (luci_interpreter::test_kernel)
    TestDataFloatFloorDiv (luci_interpreter::test_kernel)
    TestDataFloatFloorMod (luci_interpreter::test_kernel)
    TestDataFloatFullyConnected (onert_micro::test_model)
    TestDataFloatFullyConnected (luci_interpreter::test_kernel)
    TestDataFloatGather (luci_interpreter::test_kernel)
    TestDataFloatGather (onert_micro::test_model)
    TestDataFloatGatherND (luci_interpreter::test_kernel)
    TestDataFloatGreater (luci_interpreter::test_kernel)
    TestDataFloatGreaterEqual (luci_interpreter::test_kernel)
    TestDataFloatL2Normalization (luci_interpreter::test_kernel)
    TestDataFloatL2Pool2D (luci_interpreter::test_kernel)
    TestDataFloatLeakyReLU (luci_interpreter::test_kernel)
    TestDataFloatLess (luci_interpreter::test_kernel)
    TestDataFloatLessEqual (luci_interpreter::test_kernel)
    TestDataFloatLog (luci_interpreter::test_kernel)
    TestDataFloatLogistic (luci_interpreter::test_kernel)
    TestDataFloatLogistic (onert_micro::test_model)
    TestDataFloatLogSoftmax (luci_interpreter::test_kernel)
    TestDataFloatMaximum (luci_interpreter::test_kernel)
    TestDataFloatMaxPool2D (luci_interpreter::test_kernel)
    TestDataFloatMaxPool2D (onert_micro::test_model)
    TestDataFloatMean (luci_interpreter::test_kernel)
    TestDataFloatMinimum (luci_interpreter::test_kernel)
    TestDataFloatMirrorPad (luci_interpreter::test_kernel)
    TestDataFloatMul (onert_micro::test_model)
    TestDataFloatMul (luci_interpreter::test_kernel)
    TestDataFloatNeg (luci_interpreter::test_kernel)
    TestDataFloatNotEqual (luci_interpreter::test_kernel)
    TestDataFloatPack (onert_micro::test_model)
    TestDataFloatPack (luci_interpreter::test_kernel)
    TestDataFloatPad (luci_interpreter::test_kernel)
    TestDataFloatPadV2 (luci_interpreter::test_kernel)
    TestDataFloatPRelu (luci_interpreter::test_kernel)
    TestDataFloatQuantize (luci_interpreter::test_kernel)
    TestDataFloatReduceMax (luci_interpreter::test_kernel)
    TestDataFloatReduceProd (luci_interpreter::test_kernel)
    TestDataFloatReLU (luci_interpreter::test_kernel)
    TestDataFloatReLU6 (luci_interpreter::test_kernel)
    TestDataFloatResizeBilinear (luci_interpreter::test_kernel)
    TestDataFloatResizeNearestNeighbor (luci_interpreter::test_kernel)
    TestDataFloatRound (luci_interpreter::test_kernel)
    TestDataFloatRsqrt (luci_interpreter::test_kernel)
    TestDataFloatSelectV2 (luci_interpreter::test_kernel)
    TestDataFloatSin (luci_interpreter::test_kernel)
    TestDataFloatSlice (luci_interpreter::test_kernel)
    TestDataFloatSoftmax (onert_micro::test_model)
    TestDataFloatSpaceToBatchND (luci_interpreter::test_kernel)
    TestDataFloatSpaceToDepth (luci_interpreter::test_kernel)
    TestDataFloatSplit (luci_interpreter::test_kernel)
    TestDataFloatSqrt (luci_interpreter::test_kernel)
    TestDataFloatSquare (luci_interpreter::test_kernel)
    TestDataFloatSquaredDifference (luci_interpreter::test_kernel)
    TestDataFloatSqueeze (luci_interpreter::test_kernel)
    TestDataFloatSub (luci_interpreter::test_kernel)
    TestDataFloatSub (onert_micro::test_model)
    TestDataFloatSum (luci_interpreter::test_kernel)
    TestDataFloatSVDF (luci_interpreter::test_kernel)
    TestDataFloatTanh (luci_interpreter::test_kernel)
    TestDataFloatTransposeConv (luci_interpreter::test_kernel)
    TestDataFloatUnidirectionalLSTM (luci_interpreter::test_kernel)
    TestDataFloatUnpack (luci_interpreter::test_kernel)
    TestDataFloatZerosLike (luci_interpreter::test_kernel)
    TestDataFloorBase (luci_interpreter::test_kernel)
    TestDataFloorDivBase (luci_interpreter::test_kernel)
    TestDataFloorModBase (luci_interpreter::test_kernel)
    TestDataFullyConnectedBase (luci_interpreter::test_kernel)
    TestDataFullyConnectedBase (onert_micro::test_model)
    TestDataGatherBase (luci_interpreter::test_kernel)
    TestDataGatherBase (onert_micro::test_model)
    TestDataGatherNDBase (luci_interpreter::test_kernel)
    TestDataGreaterBase (luci_interpreter::test_kernel)
    TestDataGreaterEqualBase (luci_interpreter::test_kernel)
    TestDataIfKernel (luci_interpreter::test_kernel)
    TestDataInputTypeMismatchAddN (luci_interpreter::test_kernel)
    TestDataInputTypeMismatchConcatenation (luci_interpreter::test_kernel)
    TestDataInputTypeMismatchConcatenation (onert_micro::test_model)
    TestDataInt8UnidirectionalLSTM (luci_interpreter::test_kernel)
    TestDataIntEqual (luci_interpreter::test_kernel)
    TestDataIntGather (luci_interpreter::test_kernel)
    TestDataIntGather (onert_micro::test_model)
    TestDataIntLess (luci_interpreter::test_kernel)
    TestDataIntMul (onert_micro::test_model)
    TestDataIntMul (luci_interpreter::test_kernel)
    TestDataIntPack (luci_interpreter::test_kernel)
    TestDataIntPack (onert_micro::test_model)
    TestDataIntReduceProd (luci_interpreter::test_kernel)
    TestDataIntSplit (luci_interpreter::test_kernel)
    TestDataIntSub (luci_interpreter::test_kernel)
    TestDataIntSub (onert_micro::test_model)
    TestDataL2NormalizationBase (luci_interpreter::test_kernel)
    TestDataL2Pool2DBase (luci_interpreter::test_kernel)
    TestDataLeakyReLUBase (luci_interpreter::test_kernel)
    TestDataLessBase (luci_interpreter::test_kernel)
    TestDataLessEqualBase (luci_interpreter::test_kernel)
    TestDataLogBase (luci_interpreter::test_kernel)
    TestDataLogicalAndBase (luci_interpreter::test_kernel)
    TestDataLogicalNotBase (luci_interpreter::test_kernel)
    TestDataLogicalOrBase (luci_interpreter::test_kernel)
    TestDataLogisticBase (onert_micro::test_model)
    TestDataLogisticBase (luci_interpreter::test_kernel)
    TestDataLogSoftmaxBase (luci_interpreter::test_kernel)
    TestDataMaximumBase (luci_interpreter::test_kernel)
    TestDataMaxPool2DBase (luci_interpreter::test_kernel)
    TestDataMaxPool2DBase (onert_micro::test_model)
    TestDataMeanBase (luci_interpreter::test_kernel)
    TestDataMinimumBase (luci_interpreter::test_kernel)
    TestDataMirrorPadBase (luci_interpreter::test_kernel)
    TestDataMulBase (luci_interpreter::test_kernel)
    TestDataMulBase (onert_micro::test_model)
    TestDataNegBase (luci_interpreter::test_kernel)
    TestDataNotEqualBase (luci_interpreter::test_kernel)
    TestDataOutputWrongOutputArgMax (luci_interpreter::test_kernel)
    TestDataOutputWrongOutputArgMin (luci_interpreter::test_kernel)
    TestDataPackBase (luci_interpreter::test_kernel)
    TestDataPackBase (onert_micro::test_model)
    TestDataPadBase (luci_interpreter::test_kernel)
    TestDataPadV2Base (luci_interpreter::test_kernel)
    TestDataPReluBase (luci_interpreter::test_kernel)
    TestDataQuantizeBase (luci_interpreter::test_kernel)
    TestDataQuantLess (luci_interpreter::test_kernel)
    TestDataQuantU8Pack (onert_micro::test_model)
    TestDataQuantU8Pack (luci_interpreter::test_kernel)
    TestDataReduceCommonBase (luci_interpreter::test_kernel)
    TestDataReduceMaxBase (luci_interpreter::test_kernel)
    TestDataReLU6Base (luci_interpreter::test_kernel)
    TestDataReLUBase (luci_interpreter::test_kernel)
    TestDataReluConcatenation (luci_interpreter::test_kernel)
    TestDataReluConcatenation (onert_micro::test_model)
    TestDataReshapeKernel (onert_micro::test_model)
    TestDataReshapeKernel (luci_interpreter::test_kernel)
    TestDataResizeBilinearBase (luci_interpreter::test_kernel)
    TestDataResizeNearestNeighborBase (luci_interpreter::test_kernel)
    TestDataRoundBase (luci_interpreter::test_kernel)
    TestDataRsqrtBase (luci_interpreter::test_kernel)
    TestDataS16Slice (luci_interpreter::test_kernel)
    TestDataS32Concatenation (luci_interpreter::test_kernel)
    TestDataS32Concatenation (onert_micro::test_model)
    TestDataS64Concatenation (onert_micro::test_model)
    TestDataS64Concatenation (luci_interpreter::test_kernel)
    TestDataS8FullyConnected (onert_micro::test_model)
    TestDataSelectV2Base (luci_interpreter::test_kernel)
    TestDataShapeKernel (luci_interpreter::test_kernel)
    TestDataShapeKernel (onert_micro::test_model)
    TestDataSinBase (luci_interpreter::test_kernel)
    TestDataSliceBase (luci_interpreter::test_kernel)
    TestDataSoftmaxBase (onert_micro::test_model)
    TestDataSpaceToBatchNDBase (luci_interpreter::test_kernel)
    TestDataSpaceToDepthBase (luci_interpreter::test_kernel)
    TestDataSplitBase (luci_interpreter::test_kernel)
    TestDataSplitVKernel (luci_interpreter::test_kernel)
    TestDataSqrtBase (luci_interpreter::test_kernel)
    TestDataSquareBase (luci_interpreter::test_kernel)
    TestDataSquaredDifferenceBase (luci_interpreter::test_kernel)
    TestDataSqueezeBase (luci_interpreter::test_kernel)
    TestDataStridedSliceKernel (luci_interpreter::test_kernel)
    TestDataStridedSliceKernel (onert_micro::test_model)
    TestDataSubBase (onert_micro::test_model)
    TestDataSubBase (luci_interpreter::test_kernel)
    TestDataSumBase (luci_interpreter::test_kernel)
    TestDataSVDFBase (luci_interpreter::test_kernel)
    TestDataTanhBase (luci_interpreter::test_kernel)
    TestDataTransposeConvBase (luci_interpreter::test_kernel)
    TestDataTransposeKernel (luci_interpreter::test_kernel)
    TestDataTypeMismatchSlice (luci_interpreter::test_kernel)
    TestDataU8Conv2D (luci_interpreter::test_kernel)
    TestDataU8FullyConnected (luci_interpreter::test_kernel)
    TestDataU8Slice (luci_interpreter::test_kernel)
    TestDataUint8ResizeBilinear (luci_interpreter::test_kernel)
    TestDataUnidirectionalLSTMBase (luci_interpreter::test_kernel)
    TestDataUnpackBase (luci_interpreter::test_kernel)
    TestDataWhileKernel (luci_interpreter::test_kernel)
    TestDataWrongAxisConcatenation (luci_interpreter::test_kernel)
    TestDataWrongAxisConcatenation (onert_micro::test_model)
    TestDataWrongBeginTypeSlice (luci_interpreter::test_kernel)
    TestDataWrongInputShapeSlice (luci_interpreter::test_kernel)
    TestDataWrongSizeTypeSlice (luci_interpreter::test_kernel)
    TestDataZerosLikeBase (luci_interpreter::test_kernel)
    TestGraph (luci::test)
    TestGraph (exo::test)
    TestMemoryManager (luci_interpreter)
    TestRunner (test_utils)
    TextFormatter (nnfw::misc::feature)
    TFAdd (moco)
    TFAvgPool (moco)
    TFBiasAdd (moco)
    TFConcatV2 (moco)
    TFConst (moco)
    TFConv2D (moco)
    TFConv2DBackpropInput (moco)
    TFDepthwiseConv2dNative (moco)
    TFDialect (moco)
    TFFakeQuantWithMinMaxVars (moco)
    TFFusedBatchNorm (moco)
    TFIdentity (moco)
    TFLAdd (locoex)
    TFLAveragePool2D (locoex)
    TflBufferContext::TflBuffer (tflimport)
    TflBufferContext (tflimport)
    TFLConcatenation (locoex)
    TFLConst (locoex)
    TFLConv2D (locoex)
    TFLDepthwiseConv2D (locoex)
    TFLDialect (locoex)
    TFLDiv (locoex)
    TFLExporter (exo)
    TFLFullyConnected (locoex)
    TfLiteDimensionMetadata (sparsity)
    TFliteImport (tflchef)
    TfLiteIntArray (sparsity)
    TfLiteInterpMatchApp
    TFliteOpAbs (tflchef)
    TFliteOpAdd (tflchef)
    TFliteOpAddN (tflchef)
    TFliteOpArgMax (tflchef)
    TFliteOpArgMin (tflchef)
    TFliteOpAveragePool2D (tflchef)
    TFliteOpBatchMatMul (tflchef)
    TFliteOpBatchToSpaceND (tflchef)
    TFliteOpBidirectionalSequenceLSTM (tflchef)
    TFliteOpBroadcastTo (tflchef)
    TFliteOpCast (tflchef)
    TFliteOpCeil (tflchef)
    TFliteOpChef (tflchef)
    TFliteOpConcatenation (tflchef)
    TFliteOpConv2D (tflchef)
    TFliteOpCos (tflchef)
    TFLiteOpCreator (mir_tflite)
    TFliteOpCumsum (tflchef)
    TFliteOpDepthToSpace (tflchef)
    TFliteOpDepthwiseConv2D (tflchef)
    TFliteOpDequantize (tflchef)
    TFliteOpDiv (tflchef)
    TFliteOpELU (tflchef)
    TFliteOpEqual (tflchef)
    TFliteOpExp (tflchef)
    TFliteOpExpandDims (tflchef)
    TFliteOpFakeQuant (tflchef)
    TFliteOpFill (tflchef)
    TFliteOpFloor (tflchef)
    TFliteOpFloorDiv (tflchef)
    TFliteOpFloorMod (tflchef)
    TFliteOpFullyConnected (tflchef)
    TFliteOpGather (tflchef)
    TFliteOpGatherNd (tflchef)
    TFliteOpGelu (tflchef)
    TFliteOpGreater (tflchef)
    TFliteOpGreaterEqual (tflchef)
    TFliteOpHardSwish (tflchef)
    TFliteOpL2Normalize (tflchef)
    TFliteOpL2Pool2D (tflchef)
    TFliteOpLeakyRelu (tflchef)
    TFliteOpLess (tflchef)
    TFliteOpLessEqual (tflchef)
    TFliteOpLocalResponseNormalization (tflchef)
    TFliteOpLog (tflchef)
    TFliteOpLogicalAnd (tflchef)
    TFliteOpLogicalNot (tflchef)
    TFliteOpLogicalOr (tflchef)
    TFliteOpLogistic (tflchef)
    TFliteOpLogSoftmax (tflchef)
    TFliteOpMatrixDiag (tflchef)
    TFliteOpMatrixSetDiag (tflchef)
    TFliteOpMaximum (tflchef)
    TFliteOpMaxPool2D (tflchef)
    TFliteOpMean (tflchef)
    TFliteOpMinimum (tflchef)
    TFliteOpMirrorPad (tflchef)
    TFliteOpMul (tflchef)
    TFliteOpNeg (tflchef)
    TFliteOpNonMaxSuppressionV4 (tflchef)
    TFliteOpNonMaxSuppressionV5 (tflchef)
    TFliteOpNotEqual (tflchef)
    TFliteOpOneHot (tflchef)
    TFliteOpPack (tflchef)
    TFliteOpPad (tflchef)
    TFliteOpPadV2 (tflchef)
    TFliteOpPow (tflchef)
    TFliteOpPRelu (tflchef)
    TFliteOpQuantize (tflchef)
    TFliteOpRange (tflchef)
    TFliteOpRank (tflchef)
    TFliteOpReduceAny (tflchef)
    TFliteOpReduceMax (tflchef)
    TFliteOpReduceMin (tflchef)
    TFliteOpReduceProd (tflchef)
    TFliteOpRegistry (tflchef)
    TFliteOpReLU (tflchef)
    TFliteOpReLU6 (tflchef)
    TFliteOpReLUN1To1 (tflchef)
    TFliteOpReshape (tflchef)
    TFliteOpResizeBilinear (tflchef)
    TFliteOpResizeNearestNeighbor (tflchef)
    TFliteOpReverseSequence (tflchef)
    TFliteOpReverseV2 (tflchef)
    TFliteOpRound (tflchef)
    TFliteOpRsqrt (tflchef)
    TFliteOpScatterNd (tflchef)
    TFliteOpSegmentSum (tflchef)
    TFliteOpSelect (tflchef)
    TFliteOpSelectV2 (tflchef)
    TFliteOpShape (tflchef)
    TFliteOpSin (tflchef)
    TFliteOpSlice (tflchef)
    TFliteOpSoftmax (tflchef)
    TFliteOpSpaceToBatchND (tflchef)
    TFliteOpSpaceToDepth (tflchef)
    TFliteOpSparseToDense (tflchef)
    TFliteOpSplit (tflchef)
    TFliteOpSplitV (tflchef)
    TFliteOpSqrt (tflchef)
    TFliteOpSquare (tflchef)
    TFliteOpSquaredDifference (tflchef)
    TFliteOpSqueeze (tflchef)
    TFliteOpStridedSlice (tflchef)
    TFliteOpSub (tflchef)
    TFliteOpSum (tflchef)
    TFliteOpSVDF (tflchef)
    TFliteOpTanh (tflchef)
    TFliteOpTile (tflchef)
    TFliteOpTopKV2 (tflchef)
    TFliteOpTranspose (tflchef)
    TFliteOpTransposeConv (tflchef)
    TFliteOpUnidirectionalSequenceLSTM (tflchef)
    TFliteOpUnique (tflchef)
    TFliteOpUnpack (tflchef)
    TFliteOpWhere (tflchef)
    TFliteOpWhile (tflchef)
    TFliteOpZerosLike (tflchef)
    TfLiteSparsity (sparsity)
    TFLMaximum (locoex)
    TFLMaxPool2D (locoex)
    TFLMean (locoex)
    TFLModel (tflite2circle)
    TFLMul (locoex)
    TFLNode (locoex)
    TFLNodeImpl (locoex)
    TFLNodeMixin (locoex)
    TFLNodeMixin< TFLNodeTrait::Bias > (locoex)
    TFLNodeMixin< TFLNodeTrait::FusedActFunc > (locoex)
    TFLNodeMutableVisitor (locoex)
    TFLNodeMutableVisitorBase (locoex)
    TFLNodeVisitor (locoex)
    TFLNodeVisitorBase (locoex)
    TflOpCodeContext (tflimport)
    TFLRelu (locoex)
    TFLRelu6 (locoex)
    TFLReshape (locoex)
    TFLRsqrt (locoex)
    TFLShapeInferenceRule (locoex)
    TFLSqrt (locoex)
    TFLSquaredDifference (locoex)
    TFLSub (locoex)
    TFLTranspose (locoex)
    TFLTransposeConv (locoex)
    TFLTypeInferenceRule (locoex)
    TFMaximum (moco)
    TFMaxPool (moco)
    TFMean (moco)
    TFMul (moco)
    TFNode (moco)
    TFNodeBuildTester (moco::test)
    TFNodeBuildTester (moco::tf::test)
    TFNodeImpl (moco)
    TFNodeMutableVisitor (moco)
    TFNodeMutableVisitorBase (moco)
    TFNodeSummaryBuilderFactory (moco::tf)
    TFNodeVisitor (moco)
    TFNodeVisitorBase (moco)
    TFOptimizer (moco::tf)
    TFPack (moco)
    TFPad (moco)
    TFPlaceholder (moco)
    TFPush (moco)
    TFPushCanonicalizer (moco::tf)
    TFRealDiv (moco)
    TFRelu (moco)
    TFRelu6 (moco)
    TFReshape (moco)
    TFRsqrt (moco)
    TFShape (moco)
    TFShapeInferenceRule (moco)
    TFSoftmax (moco)
    TFSqrt (moco)
    TFSquaredDifference (moco)
    TFSqueeze (moco)
    TFStopGradient (moco)
    TFStridedSlice (moco)
    TFSub (moco)
    TFTanh (moco)
    TFTypeInferenceRule (moco)
    ThreadPool (onert::exec)
    Tile (luci_interpreter::kernels)
    Tile (onert::ir::operation)
    TileChef
    TileChefFactory
    TileLayer (onert::backend::cpu::ops)
    TISOData (luci_interpreter::kernels)
    TISOKernel (luci_interpreter::kernels)
    TopContainer (nnfw::rt::optimized_ops)
    TopKMatchPrinter (circle_eval_diff)
    TopKV2 (onert::ir::operation)
    TopKV2Chef
    TopKV2ChefFactory
    TopologicalSortHelper (TopologicalSortHelper)
    ToStringVisitor (flatbuffers)
    TracingCtx (onert::util)
    TracingObserver (onert::exec)
    TrainableBackendContext (onert::backend::train)
    TrainableCodeAndInfo (onert::compiler::train)
    TrainableContextData (onert::backend::train)
    TrainableExecutor (onert::exec::train)
    TrainableExecutors (onert::exec::train)
    TrainableFnSequence (onert::exec::train)
    TrainableGraph (onert::ir::train)
    TrainableOperationConverter (onert::compiler::train)
    TrainableOperationVisitor (onert::ir::train)
    TrainableTensor (onert::backend::basic::train)
    TrainingCompiler (onert::compiler::train)
    TrainingInfo (onert::ir::train)
    TrainingKernelRegistry (onert::backend::train::ops)
    Transformer (mir2loco)
    TransformMinMaxToRelu6Pass (luci)
    TransformMinReluToRelu6Pass (luci)
    Transpose (luci_interpreter::kernels)
    Transpose (onert::ir::operation)
    TransposeChef
    TransposeChefFactory
    TransposeConv (luci_interpreter::kernels)
    TransposeConv (onert::ir::operation)
    TransposeConvChef
    TransposeConvChefFactory
    TransposeConvParams (nnfw::cker)
    TransposeConvParams (luci_interpreter)
    TransposeConvPrinter (circledump)
    TransposeConvPrinter (tfldump)
    TransposedConv2D (loco)
    TransposedConv2DConverter (exo)
    TransposedConv2DLayer
    TransposeImpl (mir_interpreter)
    TransposeLayer (onert::backend::cpu::ops)
    TransposeOp (mir::ops)
    TransposeParams (luci_interpreter_pal)
    TransposeParams (nnfw::cker)
    TransposeTensor (nnc::sir)
    TrixBackend (npud::backend::trix)
    TrixDevice (npud::backend::trix)
    TrixLoader (onert::trix_loader)
    TrixMetaReader (onert::trix_loader)
    TrixModelInfo (npud::backend::trix)
    TrixRequestInfo (npud::backend::trix)
    TruncatedNormalDistribution (nnfw::cker::random)
    TruncatedNormalDistribution< SingleSampleGenerator, double > (nnfw::cker::random)
    TruncatedNormalDistribution< SingleSampleGenerator, Eigen::half > (nnfw::cker::random)
    TruncatedNormalDistribution< SingleSampleGenerator, float > (nnfw::cker::random)
    TTypes (nnfw::cker)
    Type (flatbuffers)
    TypedFloatConstantGenerator (flatbuffers)
    TypedNodeBuilder (luci)
    TypedVector (flexbuffers)
    TypeInference (exo::circle_detail)
    TypeInference (exo)
    TypeInference (loco)
    TypeInferencePass (exo)
    TypeInferencePass (moco::tf)
    TypeInferenceRule (loco)
    TypeInferenceSession (loco)
    TypeInfo (onert::backend::custom)
    TypeInfo (onert::ir)
    TypeMapper (luci)
    TypeMapper< float > (luci)
    TypeMapper< int16_t > (luci)
    TypeMapper< int32_t > (luci)
    TypeMapper< int64_t > (luci)
    TypeMapper< int8_t > (luci)
    TypeMapper< uint16_t > (luci)
    TypeMapper< uint32_t > (luci)
    TypeMapper< uint64_t > (luci)
    TypeMapper< uint8_t > (luci)
    TypeName (arser)
    TypeName< bool > (arser)
    TypeName< const char * > (arser)
    TypeName< float > (arser)
    TypeName< int > (arser)
    TypeName< std::string > (arser)
    TypeName< std::vector< const char * > > (arser)
    TypeName< std::vector< float > > (arser)
    TypeName< std::vector< int > > (arser)
    TypeName< std::vector< std::string > > (arser)
    TypeShapeReadyPhase (exo::test)
    U
    UI
    UnaryFunc (locomotiv)
    UnaryOp (coco)
    UnidirectionalSequenceLSTM (luci_interpreter::kernels)
    UnidirectionalSequenceLSTMChef
    UnidirectionalSequenceLSTMChefFactory
    UnidirectionalSequenceLSTMParams (luci_interpreter)
    UnidirectionalSequenceLSTMPrinter (circledump)
    UnidirectionalSequenceLSTMPrinter (tfldump)
    UniformDistribution (nnfw::cker::random)
    UniformDistribution< Generator, double > (nnfw::cker::random)
    UniformDistribution< Generator, Eigen::half > (nnfw::cker::random)
    UniformDistribution< Generator, float > (nnfw::cker::random)
    UniformDistribution< Generator, int32_t > (nnfw::cker::random)
    UniformDistribution< Generator, int64_t > (nnfw::cker::random)
    UniformFullIntDistribution (nnfw::cker::random)
    UniformFullIntDistribution32 (nnfw::cker::random)
    UniformFullIntDistribution64 (nnfw::cker::random)
    UniformFullIntDistribution< Generator, int32_t > (nnfw::cker::random)
    UniformFullIntDistribution< Generator, int64_t > (nnfw::cker::random)
    UniformFullIntDistribution< Generator, uint32_t > (nnfw::cker::random)
    UniformFullIntDistribution< Generator, uint64_t > (nnfw::cker::random)
    UniformPalette (Palette)
    UniformTransform (bino)
    unique_ptr (flatbuffers)
    UniqueChef
    UniqueChefFactory
    UniquePrinter (circledump)
    UniquePrinter (tfldump)
    Unpack (luci_interpreter::kernels)
    Unpack (onert::ir::operation)
    UnpackChef
    UnpackChefFactory
    UnpackCommand (tfkit)
    UnpackLayer (onert::backend::cpu::ops)
    UnpackParams (luci_interpreter)
    UnpackParams (nnfw::cker)
    UnrollUnidirectionalSequenceLSTMPass (luci)
    UntrainableOperation (onert::ir::train::operation)
    UntrainableOperationConverter (onert::compiler::train)
    UNUSED_ALL (nnfw::ruy)
    UNUSED_ALL (nnfw::cker)
    UnusedOperandEliminationPass (onert::compiler::pass)
    Update (coco)
    UpdateQueue (moco)
    Bag::Updater (coco)
    Use (coco)
    Use (loco)
    Operation::Use (mir)
    Custom::Userdata (onert::ir::operation)
    UserExn (oops)
    UserSettings (luci)
    UserSettingsImpl (luci)
    UserTensor (onert::backend::builtin)
    diff --git a/classflatbuffers_1_1_flat_buffer_builder.html b/classflatbuffers_1_1_flat_buffer_builder.html index 58cca3bcfc8..7e2f685fc3c 100644 --- a/classflatbuffers_1_1_flat_buffer_builder.html +++ b/classflatbuffers_1_1_flat_buffer_builder.html @@ -2693,7 +2693,7 @@

    References Finish().

    -

    Referenced by tflite2circle::build_circle_AbsOptions(), tflite2circle::build_circle_AddNOptions(), tflite2circle::build_circle_AddOptions(), tflite2circle::build_circle_ArgMaxOptions(), tflite2circle::build_circle_ArgMinOptions(), tflite2circle::build_circle_BatchMatMulOptions(), tflite2circle::build_circle_BatchToSpaceNDOptions(), tflite2circle::build_circle_BidirectionalSequenceLSTMOptions(), tflite2circle::build_circle_BroadcastToOptions(), tflite2circle::build_circle_CastOptions(), tflite2circle::build_circle_ConcatenationOptions(), tflite2circle::build_circle_Conv2DOptions(), tflite2circle::build_circle_CosOptions(), tflite2circle::build_circle_CumsumOptions(), tflite2circle::build_circle_DensifyOptions(), tflite2circle::build_circle_DepthToSpaceOptions(), tflite2circle::build_circle_DepthwiseConv2DOptions(), tflite2circle::build_circle_DequantizeOptions(), tflite2circle::build_circle_DivOptions(), tflite2circle::build_circle_EqualOptions(), tflite2circle::build_circle_ExpandDimsOptions(), tflite2circle::build_circle_ExpOptions(), tflite2circle::build_circle_FakeQuantOptions(), tflite2circle::build_circle_FillOptions(), tflite2circle::build_circle_FloorDivOptions(), tflite2circle::build_circle_FloorModOptions(), tflite2circle::build_circle_FullyConnectedOptions(), tflite2circle::build_circle_GatherNdOptions(), tflite2circle::build_circle_GatherOptions(), tflite2circle::build_circle_GeluOptions(), tflite2circle::build_circle_GreaterEqualOptions(), tflite2circle::build_circle_GreaterOptions(), tflite2circle::build_circle_IfOptions(), tflite2circle::build_circle_L2NormOptions(), tflite2circle::build_circle_LeakyReluOptions(), tflite2circle::build_circle_LessEqualOptions(), tflite2circle::build_circle_LessOptions(), tflite2circle::build_circle_LocalResponseNormalizationOptions(), tflite2circle::build_circle_LogicalAndOptions(), tflite2circle::build_circle_LogicalNotOptions(), tflite2circle::build_circle_LogicalOrOptions(), tflite2circle::build_circle_LogSoftmaxOptions(), tflite2circle::build_circle_MatrixDiagOptions(), tflite2circle::build_circle_MatrixSetDiagOptions(), tflite2circle::build_circle_MaximumMinimumOptions(), tflite2circle::build_circle_MirrorPadOptions(), tflite2circle::build_circle_MulOptions(), tflite2circle::build_circle_NegOptions(), tflite2circle::build_circle_NonMaxSuppressionV4Options(), tflite2circle::build_circle_NonMaxSuppressionV5Options(), tflite2circle::build_circle_NotEqualOptions(), tflite2circle::build_circle_OneHotOptions(), tflite2circle::build_circle_PackOptions(), tflite2circle::build_circle_PadOptions(), tflite2circle::build_circle_PadV2Options(), tflite2circle::build_circle_Pool2DOptions(), tflite2circle::build_circle_PowOptions(), tflite2circle::build_circle_RangeOptions(), tflite2circle::build_circle_RankOptions(), tflite2circle::build_circle_ReducerOptions(), tflite2circle::build_circle_ReshapeOptions(), tflite2circle::build_circle_ResizeBilinearOptions(), tflite2circle::build_circle_ResizeNearestNeighborOptions(), tflite2circle::build_circle_ReverseSequenceOptions(), tflite2circle::build_circle_ReverseV2Options(), tflite2circle::build_circle_ScatterNdOptions(), tflite2circle::build_circle_SegmentSumOptions(), tflite2circle::build_circle_SelectOptions(), tflite2circle::build_circle_SelectV2Options(), tflite2circle::build_circle_ShapeOptions(), tflite2circle::build_circle_SliceOptions(), tflite2circle::build_circle_SoftmaxOptions(), tflite2circle::build_circle_SpaceToBatchNDOptions(), tflite2circle::build_circle_SpaceToDepthOptions(), tflite2circle::build_circle_SparseToDenseOptions(), tflite2circle::build_circle_SplitOptions(), tflite2circle::build_circle_SplitVOptions(), tflite2circle::build_circle_SquaredDifferenceOptions(), tflite2circle::build_circle_SquareOptions(), tflite2circle::build_circle_SqueezeOptions(), tflite2circle::build_circle_StridedSliceOptions(), tflite2circle::build_circle_SubOptions(), tflite2circle::build_circle_SVDFOptions(), tflite2circle::build_circle_TileOptions(), tflite2circle::build_circle_TopKV2Options(), tflite2circle::build_circle_TransposeConvOptions(), tflite2circle::build_circle_TransposeOptions(), tflite2circle::build_circle_UnidirectionalSequenceLSTMOptions(), tflite2circle::build_circle_UniqueOptions(), tflite2circle::build_circle_UnpackOptions(), tflite2circle::build_circle_WhereOptions(), tflite2circle::build_circle_WhileOptions(), tflite2circle::build_circle_ZerosLikeOptions(), Finish(), FinishSizePrefixed(), tflite2circle::get_circle_sparse_index_vector(), BatchMatMulChef::value(), BCQFullyConnectedChef::value(), BCQGatherChef::value(), GRUChef::value(), InstanceNormChef::value(), AbsChef::value(), AddChef::value(), AddNChef::value(), ArgMaxChef::value(), ArgMinChef::value(), AveragePool2DChef::value(), BatchToSpaceNDChef::value(), CastChef::value(), ConcatenationChef::value(), Conv2DChef::value(), CosChef::value(), CumSumChef::value(), DensifyChef::value(), DepthToSpaceChef::value(), DepthwiseConv2DChef::value(), DivChef::value(), EqualChef::value(), ExpChef::value(), ExpandDimsChef::value(), FakeQuantChef::value(), FillChef::value(), FloorDivChef::value(), FloorModChef::value(), FullyConnectedChef::value(), GatherChef::value(), GatherNdChef::value(), GeluChef::value(), GreaterChef::value(), GreaterEqualChef::value(), IfChef::value(), L2Pool2DChef::value(), LeakyReluChef::value(), LessChef::value(), LessEqualChef::value(), LocalResponseNormalizationChef::value(), LogicalAndChef::value(), LogicalNotChef::value(), LogicalOrChef::value(), LogSoftmaxChef::value(), MatrixDiagChef::value(), MatrixSetDiagChef::value(), MaximumChef::value(), MaxPool2DChef::value(), MeanChef::value(), MinimumChef::value(), MirrorPadChef::value(), MulChef::value(), NegChef::value(), NonMaxSuppressionV4Chef::value(), NonMaxSuppressionV5Chef::value(), NotEqualChef::value(), OneHotChef::value(), PackChef::value(), PadChef::value(), PadV2Chef::value(), PowChef::value(), RangeChef::value(), RankChef::value(), ReduceAnyChef::value(), ReduceMaxChef::value(), ReduceMinChef::value(), ReduceProdChef::value(), ReshapeChef::value(), ResizeBilinearChef::value(), ResizeNearestNeighborChef::value(), ReverseSequenceChef::value(), ReverseV2Chef::value(), ScatterNdChef::value(), SegmentSumChef::value(), SelectChef::value(), SelectV2Chef::value(), ShapeChef::value(), SliceChef::value(), SoftmaxChef::value(), SpaceToBatchNDChef::value(), SpaceToDepthChef::value(), SplitChef::value(), SplitVChef::value(), SquareChef::value(), SquaredDifferenceChef::value(), StridedSliceChef::value(), SubChef::value(), SumChef::value(), SVDFChef::value(), TileChef::value(), TopKV2Chef::value(), TransposeChef::value(), UniqueChef::value(), UnpackChef::value(), WhereChef::value(), WhileChef::value(), and ZerosLikeChef::value().

    +

    Referenced by tflite2circle::build_circle_AbsOptions(), tflite2circle::build_circle_AddNOptions(), tflite2circle::build_circle_AddOptions(), tflite2circle::build_circle_ArgMaxOptions(), tflite2circle::build_circle_ArgMinOptions(), tflite2circle::build_circle_BatchMatMulOptions(), tflite2circle::build_circle_BatchToSpaceNDOptions(), tflite2circle::build_circle_BidirectionalSequenceLSTMOptions(), tflite2circle::build_circle_BroadcastToOptions(), tflite2circle::build_circle_CastOptions(), tflite2circle::build_circle_ConcatenationOptions(), tflite2circle::build_circle_Conv2DOptions(), tflite2circle::build_circle_CosOptions(), tflite2circle::build_circle_CumsumOptions(), tflite2circle::build_circle_DensifyOptions(), tflite2circle::build_circle_DepthToSpaceOptions(), tflite2circle::build_circle_DepthwiseConv2DOptions(), tflite2circle::build_circle_DequantizeOptions(), tflite2circle::build_circle_DivOptions(), tflite2circle::build_circle_EqualOptions(), tflite2circle::build_circle_ExpandDimsOptions(), tflite2circle::build_circle_ExpOptions(), tflite2circle::build_circle_FakeQuantOptions(), tflite2circle::build_circle_FillOptions(), tflite2circle::build_circle_FloorDivOptions(), tflite2circle::build_circle_FloorModOptions(), tflite2circle::build_circle_FullyConnectedOptions(), tflite2circle::build_circle_GatherNdOptions(), tflite2circle::build_circle_GatherOptions(), tflite2circle::build_circle_GeluOptions(), tflite2circle::build_circle_GreaterEqualOptions(), tflite2circle::build_circle_GreaterOptions(), tflite2circle::build_circle_IfOptions(), tflite2circle::build_circle_L2NormOptions(), tflite2circle::build_circle_LeakyReluOptions(), tflite2circle::build_circle_LessEqualOptions(), tflite2circle::build_circle_LessOptions(), tflite2circle::build_circle_LocalResponseNormalizationOptions(), tflite2circle::build_circle_LogicalAndOptions(), tflite2circle::build_circle_LogicalNotOptions(), tflite2circle::build_circle_LogicalOrOptions(), tflite2circle::build_circle_LogSoftmaxOptions(), tflite2circle::build_circle_MatrixDiagOptions(), tflite2circle::build_circle_MatrixSetDiagOptions(), tflite2circle::build_circle_MaximumMinimumOptions(), tflite2circle::build_circle_MirrorPadOptions(), tflite2circle::build_circle_MulOptions(), tflite2circle::build_circle_NegOptions(), tflite2circle::build_circle_NonMaxSuppressionV4Options(), tflite2circle::build_circle_NonMaxSuppressionV5Options(), tflite2circle::build_circle_NotEqualOptions(), tflite2circle::build_circle_OneHotOptions(), tflite2circle::build_circle_PackOptions(), tflite2circle::build_circle_PadOptions(), tflite2circle::build_circle_PadV2Options(), tflite2circle::build_circle_Pool2DOptions(), tflite2circle::build_circle_PowOptions(), tflite2circle::build_circle_RangeOptions(), tflite2circle::build_circle_RankOptions(), tflite2circle::build_circle_ReducerOptions(), tflite2circle::build_circle_ReshapeOptions(), tflite2circle::build_circle_ResizeBilinearOptions(), tflite2circle::build_circle_ResizeNearestNeighborOptions(), tflite2circle::build_circle_ReverseSequenceOptions(), tflite2circle::build_circle_ReverseV2Options(), tflite2circle::build_circle_ScatterNdOptions(), tflite2circle::build_circle_SegmentSumOptions(), tflite2circle::build_circle_SelectOptions(), tflite2circle::build_circle_SelectV2Options(), tflite2circle::build_circle_ShapeOptions(), tflite2circle::build_circle_SliceOptions(), tflite2circle::build_circle_SoftmaxOptions(), tflite2circle::build_circle_SpaceToBatchNDOptions(), tflite2circle::build_circle_SpaceToDepthOptions(), tflite2circle::build_circle_SparseToDenseOptions(), tflite2circle::build_circle_SplitOptions(), tflite2circle::build_circle_SplitVOptions(), tflite2circle::build_circle_SquaredDifferenceOptions(), tflite2circle::build_circle_SquareOptions(), tflite2circle::build_circle_SqueezeOptions(), tflite2circle::build_circle_StridedSliceOptions(), tflite2circle::build_circle_SubOptions(), tflite2circle::build_circle_SVDFOptions(), tflite2circle::build_circle_TileOptions(), tflite2circle::build_circle_TopKV2Options(), tflite2circle::build_circle_TransposeConvOptions(), tflite2circle::build_circle_TransposeOptions(), tflite2circle::build_circle_UnidirectionalSequenceLSTMOptions(), tflite2circle::build_circle_UniqueOptions(), tflite2circle::build_circle_UnpackOptions(), tflite2circle::build_circle_WhereOptions(), tflite2circle::build_circle_WhileOptions(), tflite2circle::build_circle_ZerosLikeOptions(), Finish(), FinishSizePrefixed(), tflite2circle::get_circle_sparse_index_vector(), BatchMatMulChef::value(), BCQFullyConnectedChef::value(), BCQGatherChef::value(), FullyConnectedChef::value(), GRUChef::value(), InstanceNormChef::value(), AbsChef::value(), AddChef::value(), AddNChef::value(), ArgMaxChef::value(), ArgMinChef::value(), AveragePool2DChef::value(), BatchToSpaceNDChef::value(), CastChef::value(), ConcatenationChef::value(), Conv2DChef::value(), CosChef::value(), CumSumChef::value(), DensifyChef::value(), DepthToSpaceChef::value(), DepthwiseConv2DChef::value(), DivChef::value(), EqualChef::value(), ExpChef::value(), ExpandDimsChef::value(), FakeQuantChef::value(), FillChef::value(), FloorDivChef::value(), FloorModChef::value(), GatherChef::value(), GatherNdChef::value(), GeluChef::value(), GreaterChef::value(), GreaterEqualChef::value(), IfChef::value(), L2Pool2DChef::value(), LeakyReluChef::value(), LessChef::value(), LessEqualChef::value(), LocalResponseNormalizationChef::value(), LogicalAndChef::value(), LogicalNotChef::value(), LogicalOrChef::value(), LogSoftmaxChef::value(), MatrixDiagChef::value(), MatrixSetDiagChef::value(), MaximumChef::value(), MaxPool2DChef::value(), MeanChef::value(), MinimumChef::value(), MirrorPadChef::value(), MulChef::value(), NegChef::value(), NonMaxSuppressionV4Chef::value(), NonMaxSuppressionV5Chef::value(), NotEqualChef::value(), OneHotChef::value(), PackChef::value(), PadChef::value(), PadV2Chef::value(), PowChef::value(), RangeChef::value(), RankChef::value(), ReduceAnyChef::value(), ReduceMaxChef::value(), ReduceMinChef::value(), ReduceProdChef::value(), ReshapeChef::value(), ResizeBilinearChef::value(), ResizeNearestNeighborChef::value(), ReverseSequenceChef::value(), ReverseV2Chef::value(), ScatterNdChef::value(), SegmentSumChef::value(), SelectChef::value(), SelectV2Chef::value(), ShapeChef::value(), SliceChef::value(), SoftmaxChef::value(), SpaceToBatchNDChef::value(), SpaceToDepthChef::value(), SplitChef::value(), SplitVChef::value(), SquareChef::value(), SquaredDifferenceChef::value(), StridedSliceChef::value(), SubChef::value(), SumChef::value(), SVDFChef::value(), TileChef::value(), TopKV2Chef::value(), TransposeChef::value(), UniqueChef::value(), UnpackChef::value(), WhereChef::value(), WhileChef::value(), and ZerosLikeChef::value().

    diff --git a/classluci_1_1_circle_quantizer.html b/classluci_1_1_circle_quantizer.html index f4208d8a3fd..3263f906ea3 100644 --- a/classluci_1_1_circle_quantizer.html +++ b/classluci_1_1_circle_quantizer.html @@ -140,7 +140,7 @@

    388 return _options.get();
    389}
    -

    Referenced by entry(), onert::odc::Quantizer::quantize(), and mpqsolver::core::Quantizer::quantize().

    +

    Referenced by entry(), onert::odc::Quantizer::quantize(), and mpqsolver::core::Quantizer::quantize().

    @@ -399,7 +399,7 @@

    627 if (_options->query(Options::Algorithm::QuantizeWeights))
    628 {
    629 static const std::vector<std::string> qw_supported_input_model_dtype{"float32"};
    -
    630 static const std::vector<std::string> qw_supported_output_model_dtype{"int8", "int16"};
    +
    630 static const std::vector<std::string> qw_supported_output_model_dtype{"int4", "int8", "int16"};
    631 static const std::vector<std::string> qw_supported_granularity{"channel"};
    632
    633 auto input_model_dtype =
    @@ -583,14 +583,14 @@

    @ ConvertToFakeQuantizedModel
    Class to convert a quantized model to a fake-quantized fp32 model.
    -
    bool run(loco::Graph *g) final
    Run the pass.
    +
    bool run(loco::Graph *g) final
    Run the pass.
    Class to verify quantized model.
    -

    References loco::active_nodes(), luci::CircleQuantizer::Options::ConvertToFakeQuantizedModel, luci::CircleQuantizer::Options::CopyQuantParam, luci::CircleQuantizer::Options::ForceQuantParam, luci::in_array(), info, luci::LayerWise, luci::LayerInfo::name, loco::output_nodes(), luci::CircleQuantizer::Options::QuantizeDequantizeWeights, luci::CircleQuantizer::Options::QuantizeOnnxFakeQuantizedModel, luci::CircleQuantizer::Options::QuantizeWeights, luci::CircleQuantizer::Options::QuantizeWithMinMax, luci::CircleQuantizer::Options::Requantize, logo::Restart, luci::ConvertToFakeQuantizedModelPass::run(), luci::CopyQuantParamPass::run(), luci::ForceQuantParamPass::run(), luci::QuantizeDequantizeWeightsPass::run(), luci::QuantizeOnnxFakeQuantModelPass::run(), luci::QuantizeWeightsPass::run(), luci::QuantizeWithMinMaxPass::run(), luci::RequantizePass::run(), luci::QuantizePreCheckerPass::run(), logo::Saturate, luci::str_to_dtype(), luci::str_to_granularity(), luci::str_vec_to_dtype_vec(), luci::to_lower_case(), luci::to_string(), and luci::QuantizedModelVerifier::verify().

    +

    References loco::active_nodes(), luci::CircleQuantizer::Options::ConvertToFakeQuantizedModel, luci::CircleQuantizer::Options::CopyQuantParam, luci::CircleQuantizer::Options::ForceQuantParam, luci::in_array(), info, luci::LayerWise, luci::LayerInfo::name, loco::output_nodes(), luci::CircleQuantizer::Options::QuantizeDequantizeWeights, luci::CircleQuantizer::Options::QuantizeOnnxFakeQuantizedModel, luci::CircleQuantizer::Options::QuantizeWeights, luci::CircleQuantizer::Options::QuantizeWithMinMax, luci::CircleQuantizer::Options::Requantize, logo::Restart, luci::ConvertToFakeQuantizedModelPass::run(), luci::CopyQuantParamPass::run(), luci::ForceQuantParamPass::run(), luci::QuantizeDequantizeWeightsPass::run(), luci::QuantizeOnnxFakeQuantModelPass::run(), luci::QuantizeWeightsPass::run(), luci::QuantizeWithMinMaxPass::run(), luci::RequantizePass::run(), luci::QuantizePreCheckerPass::run(), logo::Saturate, luci::str_to_dtype(), luci::str_to_granularity(), luci::str_vec_to_dtype_vec(), luci::to_lower_case(), luci::to_string(), and luci::QuantizedModelVerifier::verify().

    -

    Referenced by entry(), onert::odc::Quantizer::quantize(), and mpqsolver::core::Quantizer::quantize().

    +

    Referenced by entry(), onert::odc::Quantizer::quantize(), and mpqsolver::core::Quantizer::quantize().

    diff --git a/classluci_1_1_module.html b/classluci_1_1_module.html index badcfc9e5ef..73c1515fed8 100644 --- a/classluci_1_1_module.html +++ b/classluci_1_1_module.html @@ -349,7 +349,7 @@

    Definition at line 44 of file Module.h.

    44{ return _graphs.size(); }
    -

    Referenced by luci_interpreter::ModuleLoader::load(), luci::ModuleProgressReporter::notify(), luci::ModuleProgressReporter::notify(), opselector::OpSelector::OpSelector(), and opselector::OpSelector::select_by().

    +

    Referenced by luci_interpreter::ModuleLoader::load(), luci::ModuleProgressReporter::notify(), and luci::ModuleProgressReporter::notify().

    diff --git a/classluci_1_1_quantize_onnx_fake_quant_model_pass.html b/classluci_1_1_quantize_onnx_fake_quant_model_pass.html index 8823256f247..7b4b15b2665 100644 --- a/classluci_1_1_quantize_onnx_fake_quant_model_pass.html +++ b/classluci_1_1_quantize_onnx_fake_quant_model_pass.html @@ -311,7 +311,7 @@

    std::vector< Node * > output_nodes(Graph *)
    Definition Graph.cpp:101
    bool is_quantized(const CircleNode *node)
    -

    References loco::active_nodes(), INFO, luci::is_quantized(), LOGGER, loco::output_nodes(), luci::QuantizeOnnxDequantizeLinearPass::run(), luci::QuantizeOnnxQDQPass::run(), and luci::QuantizeWithPredecessorPass::run().

    +

    References loco::active_nodes(), INFO, luci::is_quantized(), LOGGER, loco::output_nodes(), luci::QuantizeOnnxDequantizeLinearPass::run(), luci::QuantizeOnnxQDQPass::run(), and luci::QuantizeWithPredecessorPass::run().

    Referenced by package.libnnfw_api_pybind.nnfw_session_wrapper::inference(), and luci::CircleQuantizer::quantize().

    diff --git a/classluci_1_1_requantize_pass.html b/classluci_1_1_requantize_pass.html index ea608c90172..2cc1f76b192 100644 --- a/classluci_1_1_requantize_pass.html +++ b/classluci_1_1_requantize_pass.html @@ -255,31 +255,52 @@

    145 return false;
    146 }
    147
    -
    148 // Update output dtype
    -
    -
    150 for (auto node : loco::output_nodes(g))
    -
    151 {
    -
    152 auto circle_node = loco::must_cast<luci::CircleOutput *>(node);
    -
    153 auto from_node = loco::must_cast<luci::CircleNode *>(circle_node->from());
    -
    154 if (from_node->dtype() == _output_dtype)
    -
    155 {
    -
    156 circle_node->dtype(_output_dtype);
    -
    157 auto graph_output = graph_outputs->at(circle_node->index());
    -
    158 graph_output->dtype(_output_dtype);
    -
    159 }
    -
    160 }
    -
    161
    -
    162 INFO(l) << "RequantizePass End" << std::endl;
    -
    163 return false; // one time run
    -
    164}
    +
    148 // Fix wrong quantized_dimension
    +
    149 for (auto node : loco::active_nodes(loco::output_nodes(g)))
    +
    150 {
    +
    151 auto circle_node = loco::must_cast<luci::CircleNode *>(node);
    +
    152
    +
    153 auto qparam = circle_node->quantparam();
    +
    154 if (not qparam)
    +
    155 continue;
    +
    156
    +
    157 if (circle_node->rank() != 1)
    +
    158 continue;
    +
    159
    +
    160 if (qparam->quantized_dimension == 0)
    +
    161 continue;
    +
    162
    +
    163 // For rank 1 node, quantized_dimension should be 0
    +
    164 qparam->quantized_dimension = 0;
    +
    165 WARN(l) << "Wrong quantized_dimension is fixed (" << circle_node->name() << ")" << std::endl;
    +
    166 }
    +
    167
    +
    168 // Update output dtype
    +
    169 auto graph_outputs = g->outputs();
    +
    170 for (auto node : loco::output_nodes(g))
    +
    171 {
    +
    172 auto circle_node = loco::must_cast<luci::CircleOutput *>(node);
    +
    173 auto from_node = loco::must_cast<luci::CircleNode *>(circle_node->from());
    +
    174 if (from_node->dtype() == _output_dtype)
    +
    175 {
    +
    176 circle_node->dtype(_output_dtype);
    +
    177 auto graph_output = graph_outputs->at(circle_node->index());
    +
    178 graph_output->dtype(_output_dtype);
    +
    179 }
    +
    180 }
    +
    181
    +
    182 INFO(l) << "RequantizePass End" << std::endl;
    +
    183 return false; // one time run
    +
    184}
    #define LOGGER(name)
    Definition Log.h:65
    #define INFO(name)
    Definition Log.h:68
    +
    #define WARN(name)
    Definition Log.h:70
    std::set< loco::Node * > active_nodes(const std::vector< loco::Node * > &roots)
    Enumerate all the nodes required to compute "roots".
    std::vector< Node * > output_nodes(Graph *)
    Definition Graph.cpp:101
    -

    References loco::active_nodes(), INFO, LOGGER, and loco::output_nodes().

    +

    References loco::active_nodes(), INFO, LOGGER, loco::output_nodes(), and WARN.

    Referenced by package.libnnfw_api_pybind.nnfw_session_wrapper::inference(), and luci::CircleQuantizer::quantize().

    diff --git a/classluci__interpreter_1_1_kernel.html b/classluci__interpreter_1_1_kernel.html index 4584150bd63..f45476cb791 100644 --- a/classluci__interpreter_1_1_kernel.html +++ b/classluci__interpreter_1_1_kernel.html @@ -311,7 +311,7 @@

    References _outputs.

    -

    Referenced by luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::If::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::SVDF::configure(), luci_interpreter::kernels::TransposeConv::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::While::configure(), luci_interpreter::kernels::If::execute(), and luci_interpreter::kernels::While::execute().

    +

    Referenced by luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::If::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::SVDF::configure(), luci_interpreter::kernels::TransposeConv::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::While::configure(), luci_interpreter::kernels::If::execute(), and luci_interpreter::kernels::While::execute().

    diff --git a/classluci__interpreter_1_1_kernel_builder_helper.html b/classluci__interpreter_1_1_kernel_builder_helper.html index 39982b8763d..c2d022d290e 100644 --- a/classluci__interpreter_1_1_kernel_builder_helper.html +++ b/classluci__interpreter_1_1_kernel_builder_helper.html @@ -189,7 +189,7 @@

    -

    Referenced by luci_interpreter::build_kernel_CircleAbs(), luci_interpreter::build_kernel_CircleAdd(), luci_interpreter::build_kernel_CircleArgMax(), luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleBatchToSpaceND(), luci_interpreter::build_kernel_CircleBroadcastTo(), luci_interpreter::build_kernel_CircleCast(), luci_interpreter::build_kernel_CircleConcatenation(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleCos(), luci_interpreter::build_kernel_CircleCumSum(), luci_interpreter::build_kernel_CircleDepthToSpace(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), luci_interpreter::build_kernel_CircleDequantize(), luci_interpreter::build_kernel_CircleDiv(), luci_interpreter::build_kernel_CircleElu(), luci_interpreter::build_kernel_CircleEqual(), luci_interpreter::build_kernel_CircleExp(), luci_interpreter::build_kernel_CircleExpandDims(), luci_interpreter::build_kernel_CircleFill(), luci_interpreter::build_kernel_CircleFloor(), luci_interpreter::build_kernel_CircleFloorDiv(), luci_interpreter::build_kernel_CircleFloorMod(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleGather(), luci_interpreter::build_kernel_CircleGelu(), luci_interpreter::build_kernel_CircleGreater(), luci_interpreter::build_kernel_CircleGreaterEqual(), luci_interpreter::build_kernel_CircleHardSwish(), luci_interpreter::build_kernel_CircleIf(), luci_interpreter::build_kernel_CircleInstanceNorm(), luci_interpreter::build_kernel_CircleL2Normalize(), luci_interpreter::build_kernel_CircleL2Pool2D(), luci_interpreter::build_kernel_CircleLeakyRelu(), luci_interpreter::build_kernel_CircleLess(), luci_interpreter::build_kernel_CircleLessEqual(), luci_interpreter::build_kernel_CircleLocalResponseNormalization(), luci_interpreter::build_kernel_CircleLog(), luci_interpreter::build_kernel_CircleLogicalAnd(), luci_interpreter::build_kernel_CircleLogicalNot(), luci_interpreter::build_kernel_CircleLogicalOr(), luci_interpreter::build_kernel_CircleLogistic(), luci_interpreter::build_kernel_CircleLogSoftmax(), luci_interpreter::build_kernel_CircleMaximum(), luci_interpreter::build_kernel_CircleMaxPool2D(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleMinimum(), luci_interpreter::build_kernel_CircleMirrorPad(), luci_interpreter::build_kernel_CircleMul(), luci_interpreter::build_kernel_CircleNeg(), luci_interpreter::build_kernel_CircleNotEqual(), luci_interpreter::build_kernel_CircleOneHot(), luci_interpreter::build_kernel_CirclePack(), luci_interpreter::build_kernel_CirclePad(), luci_interpreter::build_kernel_CirclePadV2(), luci_interpreter::build_kernel_CirclePow(), luci_interpreter::build_kernel_CirclePRelu(), luci_interpreter::build_kernel_CircleQuantize(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleRelu(), luci_interpreter::build_kernel_CircleRelu6(), luci_interpreter::build_kernel_CircleReshape(), luci_interpreter::build_kernel_CircleResizeBilinear(), luci_interpreter::build_kernel_CircleResizeNearestNeighbor(), luci_interpreter::build_kernel_CircleReverseV2(), luci_interpreter::build_kernel_CircleRsqrt(), luci_interpreter::build_kernel_CircleSelect(), luci_interpreter::build_kernel_CircleSelectV2(), luci_interpreter::build_kernel_CircleShape(), luci_interpreter::build_kernel_CircleSin(), luci_interpreter::build_kernel_CircleSlice(), luci_interpreter::build_kernel_CircleSoftmax(), luci_interpreter::build_kernel_CircleSpaceToBatchND(), luci_interpreter::build_kernel_CircleSpaceToDepth(), luci_interpreter::build_kernel_CircleSplit(), luci_interpreter::build_kernel_CircleSplitV(), luci_interpreter::build_kernel_CircleSqrt(), luci_interpreter::build_kernel_CircleSquare(), luci_interpreter::build_kernel_CircleSquaredDifference(), luci_interpreter::build_kernel_CircleSqueeze(), luci_interpreter::build_kernel_CircleStridedSlice(), luci_interpreter::build_kernel_CircleSub(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTanh(), luci_interpreter::build_kernel_CircleTile(), luci_interpreter::build_kernel_CircleTranspose(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), luci_interpreter::build_kernel_CircleUnpack(), luci_interpreter::build_kernel_CircleWhile(), and getOptionalInputTensor().

    +

    Referenced by luci_interpreter::build_kernel_CircleAbs(), luci_interpreter::build_kernel_CircleAdd(), luci_interpreter::build_kernel_CircleArgMax(), luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleBatchToSpaceND(), luci_interpreter::build_kernel_CircleBroadcastTo(), luci_interpreter::build_kernel_CircleCast(), luci_interpreter::build_kernel_CircleConcatenation(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleCos(), luci_interpreter::build_kernel_CircleCumSum(), luci_interpreter::build_kernel_CircleDepthToSpace(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), luci_interpreter::build_kernel_CircleDequantize(), luci_interpreter::build_kernel_CircleDiv(), luci_interpreter::build_kernel_CircleElu(), luci_interpreter::build_kernel_CircleEqual(), luci_interpreter::build_kernel_CircleExp(), luci_interpreter::build_kernel_CircleExpandDims(), luci_interpreter::build_kernel_CircleFill(), luci_interpreter::build_kernel_CircleFloor(), luci_interpreter::build_kernel_CircleFloorDiv(), luci_interpreter::build_kernel_CircleFloorMod(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleGather(), luci_interpreter::build_kernel_CircleGelu(), luci_interpreter::build_kernel_CircleGreater(), luci_interpreter::build_kernel_CircleGreaterEqual(), luci_interpreter::build_kernel_CircleHardSwish(), luci_interpreter::build_kernel_CircleIf(), luci_interpreter::build_kernel_CircleInstanceNorm(), luci_interpreter::build_kernel_CircleL2Normalize(), luci_interpreter::build_kernel_CircleL2Pool2D(), luci_interpreter::build_kernel_CircleLeakyRelu(), luci_interpreter::build_kernel_CircleLess(), luci_interpreter::build_kernel_CircleLessEqual(), luci_interpreter::build_kernel_CircleLocalResponseNormalization(), luci_interpreter::build_kernel_CircleLog(), luci_interpreter::build_kernel_CircleLogicalAnd(), luci_interpreter::build_kernel_CircleLogicalNot(), luci_interpreter::build_kernel_CircleLogicalOr(), luci_interpreter::build_kernel_CircleLogistic(), luci_interpreter::build_kernel_CircleLogSoftmax(), luci_interpreter::build_kernel_CircleMaximum(), luci_interpreter::build_kernel_CircleMaxPool2D(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleMinimum(), luci_interpreter::build_kernel_CircleMirrorPad(), luci_interpreter::build_kernel_CircleMul(), luci_interpreter::build_kernel_CircleNeg(), luci_interpreter::build_kernel_CircleNotEqual(), luci_interpreter::build_kernel_CircleOneHot(), luci_interpreter::build_kernel_CirclePack(), luci_interpreter::build_kernel_CirclePad(), luci_interpreter::build_kernel_CirclePadV2(), luci_interpreter::build_kernel_CirclePow(), luci_interpreter::build_kernel_CirclePRelu(), luci_interpreter::build_kernel_CircleQuantize(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleRelu(), luci_interpreter::build_kernel_CircleRelu6(), luci_interpreter::build_kernel_CircleReshape(), luci_interpreter::build_kernel_CircleResizeBilinear(), luci_interpreter::build_kernel_CircleResizeNearestNeighbor(), luci_interpreter::build_kernel_CircleReverseV2(), luci_interpreter::build_kernel_CircleRsqrt(), luci_interpreter::build_kernel_CircleSelect(), luci_interpreter::build_kernel_CircleSelectV2(), luci_interpreter::build_kernel_CircleShape(), luci_interpreter::build_kernel_CircleSin(), luci_interpreter::build_kernel_CircleSlice(), luci_interpreter::build_kernel_CircleSoftmax(), luci_interpreter::build_kernel_CircleSpaceToBatchND(), luci_interpreter::build_kernel_CircleSpaceToDepth(), luci_interpreter::build_kernel_CircleSplit(), luci_interpreter::build_kernel_CircleSplitV(), luci_interpreter::build_kernel_CircleSqrt(), luci_interpreter::build_kernel_CircleSquare(), luci_interpreter::build_kernel_CircleSquaredDifference(), luci_interpreter::build_kernel_CircleSqueeze(), luci_interpreter::build_kernel_CircleStridedSlice(), luci_interpreter::build_kernel_CircleSub(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTanh(), luci_interpreter::build_kernel_CircleTile(), luci_interpreter::build_kernel_CircleTranspose(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), luci_interpreter::build_kernel_CircleUnpack(), luci_interpreter::build_kernel_CircleWhile(), and getOptionalInputTensor().

    @@ -222,7 +222,7 @@

    References getInputTensor().

    -

    Referenced by luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTransposeConv(), and luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM().

    +

    Referenced by luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTransposeConv(), and luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM().

    @@ -249,7 +249,7 @@

    44 return tensor;
    45}
    -

    Referenced by luci_interpreter::build_kernel_CircleAbs(), luci_interpreter::build_kernel_CircleAdd(), luci_interpreter::build_kernel_CircleArgMax(), luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleBatchToSpaceND(), luci_interpreter::build_kernel_CircleBroadcastTo(), luci_interpreter::build_kernel_CircleCast(), luci_interpreter::build_kernel_CircleConcatenation(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleCos(), luci_interpreter::build_kernel_CircleCumSum(), luci_interpreter::build_kernel_CircleDepthToSpace(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), luci_interpreter::build_kernel_CircleDequantize(), luci_interpreter::build_kernel_CircleDiv(), luci_interpreter::build_kernel_CircleElu(), luci_interpreter::build_kernel_CircleEqual(), luci_interpreter::build_kernel_CircleExp(), luci_interpreter::build_kernel_CircleExpandDims(), luci_interpreter::build_kernel_CircleFill(), luci_interpreter::build_kernel_CircleFloor(), luci_interpreter::build_kernel_CircleFloorDiv(), luci_interpreter::build_kernel_CircleFloorMod(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleGather(), luci_interpreter::build_kernel_CircleGelu(), luci_interpreter::build_kernel_CircleGreater(), luci_interpreter::build_kernel_CircleGreaterEqual(), luci_interpreter::build_kernel_CircleHardSwish(), luci_interpreter::build_kernel_CircleInstanceNorm(), luci_interpreter::build_kernel_CircleL2Normalize(), luci_interpreter::build_kernel_CircleL2Pool2D(), luci_interpreter::build_kernel_CircleLeakyRelu(), luci_interpreter::build_kernel_CircleLess(), luci_interpreter::build_kernel_CircleLessEqual(), luci_interpreter::build_kernel_CircleLocalResponseNormalization(), luci_interpreter::build_kernel_CircleLog(), luci_interpreter::build_kernel_CircleLogicalAnd(), luci_interpreter::build_kernel_CircleLogicalNot(), luci_interpreter::build_kernel_CircleLogicalOr(), luci_interpreter::build_kernel_CircleLogistic(), luci_interpreter::build_kernel_CircleLogSoftmax(), luci_interpreter::build_kernel_CircleMaximum(), luci_interpreter::build_kernel_CircleMaxPool2D(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleMinimum(), luci_interpreter::build_kernel_CircleMirrorPad(), luci_interpreter::build_kernel_CircleMul(), luci_interpreter::build_kernel_CircleNeg(), luci_interpreter::build_kernel_CircleNotEqual(), luci_interpreter::build_kernel_CircleOneHot(), luci_interpreter::build_kernel_CirclePack(), luci_interpreter::build_kernel_CirclePad(), luci_interpreter::build_kernel_CirclePadV2(), luci_interpreter::build_kernel_CirclePow(), luci_interpreter::build_kernel_CirclePRelu(), luci_interpreter::build_kernel_CircleQuantize(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleRelu(), luci_interpreter::build_kernel_CircleRelu6(), luci_interpreter::build_kernel_CircleReshape(), luci_interpreter::build_kernel_CircleResizeBilinear(), luci_interpreter::build_kernel_CircleResizeNearestNeighbor(), luci_interpreter::build_kernel_CircleReverseV2(), luci_interpreter::build_kernel_CircleRsqrt(), luci_interpreter::build_kernel_CircleSelect(), luci_interpreter::build_kernel_CircleSelectV2(), luci_interpreter::build_kernel_CircleShape(), luci_interpreter::build_kernel_CircleSin(), luci_interpreter::build_kernel_CircleSlice(), luci_interpreter::build_kernel_CircleSoftmax(), luci_interpreter::build_kernel_CircleSpaceToBatchND(), luci_interpreter::build_kernel_CircleSpaceToDepth(), luci_interpreter::build_kernel_CircleSqrt(), luci_interpreter::build_kernel_CircleSquare(), luci_interpreter::build_kernel_CircleSquaredDifference(), luci_interpreter::build_kernel_CircleSqueeze(), luci_interpreter::build_kernel_CircleStridedSlice(), luci_interpreter::build_kernel_CircleSub(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTanh(), luci_interpreter::build_kernel_CircleTile(), luci_interpreter::build_kernel_CircleTranspose(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), and getOutputTensors().

    +

    Referenced by luci_interpreter::build_kernel_CircleAbs(), luci_interpreter::build_kernel_CircleAdd(), luci_interpreter::build_kernel_CircleArgMax(), luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleBatchToSpaceND(), luci_interpreter::build_kernel_CircleBroadcastTo(), luci_interpreter::build_kernel_CircleCast(), luci_interpreter::build_kernel_CircleConcatenation(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleCos(), luci_interpreter::build_kernel_CircleCumSum(), luci_interpreter::build_kernel_CircleDepthToSpace(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), luci_interpreter::build_kernel_CircleDequantize(), luci_interpreter::build_kernel_CircleDiv(), luci_interpreter::build_kernel_CircleElu(), luci_interpreter::build_kernel_CircleEqual(), luci_interpreter::build_kernel_CircleExp(), luci_interpreter::build_kernel_CircleExpandDims(), luci_interpreter::build_kernel_CircleFill(), luci_interpreter::build_kernel_CircleFloor(), luci_interpreter::build_kernel_CircleFloorDiv(), luci_interpreter::build_kernel_CircleFloorMod(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleGather(), luci_interpreter::build_kernel_CircleGelu(), luci_interpreter::build_kernel_CircleGreater(), luci_interpreter::build_kernel_CircleGreaterEqual(), luci_interpreter::build_kernel_CircleHardSwish(), luci_interpreter::build_kernel_CircleInstanceNorm(), luci_interpreter::build_kernel_CircleL2Normalize(), luci_interpreter::build_kernel_CircleL2Pool2D(), luci_interpreter::build_kernel_CircleLeakyRelu(), luci_interpreter::build_kernel_CircleLess(), luci_interpreter::build_kernel_CircleLessEqual(), luci_interpreter::build_kernel_CircleLocalResponseNormalization(), luci_interpreter::build_kernel_CircleLog(), luci_interpreter::build_kernel_CircleLogicalAnd(), luci_interpreter::build_kernel_CircleLogicalNot(), luci_interpreter::build_kernel_CircleLogicalOr(), luci_interpreter::build_kernel_CircleLogistic(), luci_interpreter::build_kernel_CircleLogSoftmax(), luci_interpreter::build_kernel_CircleMaximum(), luci_interpreter::build_kernel_CircleMaxPool2D(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleMinimum(), luci_interpreter::build_kernel_CircleMirrorPad(), luci_interpreter::build_kernel_CircleMul(), luci_interpreter::build_kernel_CircleNeg(), luci_interpreter::build_kernel_CircleNotEqual(), luci_interpreter::build_kernel_CircleOneHot(), luci_interpreter::build_kernel_CirclePack(), luci_interpreter::build_kernel_CirclePad(), luci_interpreter::build_kernel_CirclePadV2(), luci_interpreter::build_kernel_CirclePow(), luci_interpreter::build_kernel_CirclePRelu(), luci_interpreter::build_kernel_CircleQuantize(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleRelu(), luci_interpreter::build_kernel_CircleRelu6(), luci_interpreter::build_kernel_CircleReshape(), luci_interpreter::build_kernel_CircleResizeBilinear(), luci_interpreter::build_kernel_CircleResizeNearestNeighbor(), luci_interpreter::build_kernel_CircleReverseV2(), luci_interpreter::build_kernel_CircleRsqrt(), luci_interpreter::build_kernel_CircleSelect(), luci_interpreter::build_kernel_CircleSelectV2(), luci_interpreter::build_kernel_CircleShape(), luci_interpreter::build_kernel_CircleSin(), luci_interpreter::build_kernel_CircleSlice(), luci_interpreter::build_kernel_CircleSoftmax(), luci_interpreter::build_kernel_CircleSpaceToBatchND(), luci_interpreter::build_kernel_CircleSpaceToDepth(), luci_interpreter::build_kernel_CircleSqrt(), luci_interpreter::build_kernel_CircleSquare(), luci_interpreter::build_kernel_CircleSquaredDifference(), luci_interpreter::build_kernel_CircleSqueeze(), luci_interpreter::build_kernel_CircleStridedSlice(), luci_interpreter::build_kernel_CircleSub(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTanh(), luci_interpreter::build_kernel_CircleTile(), luci_interpreter::build_kernel_CircleTranspose(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), and getOutputTensors().

    @@ -309,7 +309,7 @@

    61 return runtime_graph;
    62}
    -

    Referenced by luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleIf(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), and luci_interpreter::build_kernel_CircleWhile().

    +

    Referenced by luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleIf(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), and luci_interpreter::build_kernel_CircleWhile().

    diff --git a/classluci__interpreter_1_1_runtime_graph.html b/classluci__interpreter_1_1_runtime_graph.html index bb449a56aee..4d4ab585f4c 100644 --- a/classluci__interpreter_1_1_runtime_graph.html +++ b/classluci__interpreter_1_1_runtime_graph.html @@ -517,7 +517,7 @@

    122 return _tensors.back().get();
    123}
    -

    Referenced by luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), and luci_interpreter::GraphLoader::loadTensors().

    +

    Referenced by luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), and luci_interpreter::GraphLoader::loadTensors().

    @@ -934,7 +934,7 @@

    References luci::CircleReader::buffers(), luci::VectorWrapper< T >::data(), and luci::wrap().

    -

    Referenced by luci_interpreter_pal::lstm_internal::calculateLstmGate(), luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleDepthwiseConv2D(), luci_interpreter::configure_kernel_CircleExpandDims(), luci_interpreter::configure_kernel_CircleMean(), luci_interpreter::configure_kernel_CirclePadCommon(), luci_interpreter::configure_kernel_CircleReduceMax(), luci_interpreter::configure_kernel_CircleSplitV(), luci_interpreter::configure_kernel_CircleSum(), luci_interpreter::configure_kernel_CircleTranspose(), luci_interpreter::configure_kernel_CircleTransposeConv(), luci_interpreter::kernels::evalComparisonGeneric(), luci_interpreter::execute_kernel_CircleBatchToSpaceND(), luci_interpreter::execute_kernel_CircleGatherND(), luci_interpreter::execute_kernel_CircleLogicalAnd(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogicalOr(), luci_interpreter::execute_kernel_CirclePadCommon(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleResizeBilinear(), luci_interpreter::execute_kernel_CircleResizeNearestNeighbor(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleSpaceToBatchND(), luci_interpreter::execute_kernel_CircleSplit(), luci_interpreter::execute_kernel_CircleSplitV(), luci_interpreter::execute_kernel_CircleStridedSlice(), luci_interpreter::execute_kernel_CircleSVDF(), luci_interpreter::kernels::TISOKernel::readData(), and luci_interpreter::kernels::TISOKernel::readInplaceData().

    +

    Referenced by luci_interpreter_pal::lstm_internal::calculateLstmGate(), luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleDepthwiseConv2D(), luci_interpreter::configure_kernel_CircleExpandDims(), luci_interpreter::configure_kernel_CircleMean(), luci_interpreter::configure_kernel_CirclePadCommon(), luci_interpreter::configure_kernel_CircleReduceMax(), luci_interpreter::configure_kernel_CircleSplitV(), luci_interpreter::configure_kernel_CircleSum(), luci_interpreter::configure_kernel_CircleTranspose(), luci_interpreter::configure_kernel_CircleTransposeConv(), luci_interpreter::kernels::evalComparisonGeneric(), luci_interpreter::execute_kernel_CircleBatchToSpaceND(), luci_interpreter::execute_kernel_CircleGatherND(), luci_interpreter::execute_kernel_CircleLogicalAnd(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogicalOr(), luci_interpreter::execute_kernel_CirclePadCommon(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleResizeBilinear(), luci_interpreter::execute_kernel_CircleResizeNearestNeighbor(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleSpaceToBatchND(), luci_interpreter::execute_kernel_CircleSplit(), luci_interpreter::execute_kernel_CircleSplitV(), luci_interpreter::execute_kernel_CircleStridedSlice(), luci_interpreter::execute_kernel_CircleSVDF(), luci_interpreter::kernels::TISOKernel::readData(), and luci_interpreter::kernels::TISOKernel::readInplaceData().

    @@ -969,7 +969,7 @@

    367 return _tensor_to_data.at(raw_tensor);
    368}
    -

    Referenced by luci_interpreter::configure_kernel_CircleSqueeze(), luci_interpreter::kernels::evalComparisonGeneric(), luci_interpreter::evalInteger(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleBatchToSpaceND(), luci_interpreter::execute_kernel_CircleBroadcastTo(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleExpandDims(), luci_interpreter::execute_kernel_CircleFloor(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleGatherND(), luci_interpreter::execute_kernel_CircleIf(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogicalAnd(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogicalOr(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleNeg(), luci_interpreter::execute_kernel_CirclePack(), luci_interpreter::execute_kernel_CirclePadCommon(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleResizeBilinear(), luci_interpreter::execute_kernel_CircleResizeNearestNeighbor(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleSpaceToBatchND(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSplit(), luci_interpreter::execute_kernel_CircleSplitV(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSquaredDifference(), luci_interpreter::execute_kernel_CircleSqueeze(), luci_interpreter::execute_kernel_CircleStridedSlice(), luci_interpreter::execute_kernel_CircleSVDF(), luci_interpreter::execute_kernel_CircleTanh(), luci_interpreter::execute_kernel_CircleZerosLike(), luci_interpreter_pal::lstm_internal::lstmStep(), luci_interpreter::kernels::TISOKernel::readData(), luci_interpreter::kernels::TISOKernel::readInplaceData(), and luci_interpreter::splitImpl().

    +

    Referenced by luci_interpreter::configure_kernel_CircleSqueeze(), luci_interpreter::kernels::evalComparisonGeneric(), luci_interpreter::evalInteger(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleBatchToSpaceND(), luci_interpreter::execute_kernel_CircleBroadcastTo(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleExpandDims(), luci_interpreter::execute_kernel_CircleFloor(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleGatherND(), luci_interpreter::execute_kernel_CircleIf(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogicalAnd(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogicalOr(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleNeg(), luci_interpreter::execute_kernel_CirclePack(), luci_interpreter::execute_kernel_CirclePadCommon(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleResizeBilinear(), luci_interpreter::execute_kernel_CircleResizeNearestNeighbor(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleSpaceToBatchND(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSplit(), luci_interpreter::execute_kernel_CircleSplitV(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSquaredDifference(), luci_interpreter::execute_kernel_CircleSqueeze(), luci_interpreter::execute_kernel_CircleStridedSlice(), luci_interpreter::execute_kernel_CircleSVDF(), luci_interpreter::execute_kernel_CircleTanh(), luci_interpreter::execute_kernel_CircleZerosLike(), luci_interpreter_pal::lstm_internal::lstmStep(), luci_interpreter::kernels::TISOKernel::readData(), luci_interpreter::kernels::TISOKernel::readInplaceData(), and luci_interpreter::splitImpl().

    @@ -1367,7 +1367,7 @@

    115 return _inplace_op_indexes.find(op) != _inplace_op_indexes.end();
    116 }
    -

    Referenced by luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDiv(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleExpandDims(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleMul(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSub(), luci_interpreter::execute_kernel_CircleTanh(), luci_interpreter::execute_kernel_CircleUnidirectionalSequenceLSTM(), luci_interpreter::execute_kernel_CircleWhile(), and luci_interpreter::execute_kernel_CircleZerosLike().

    +

    Referenced by luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDiv(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleExpandDims(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleMul(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSub(), luci_interpreter::execute_kernel_CircleTanh(), luci_interpreter::execute_kernel_CircleUnidirectionalSequenceLSTM(), luci_interpreter::execute_kernel_CircleWhile(), and luci_interpreter::execute_kernel_CircleZerosLike().

    @@ -1452,7 +1452,7 @@

    References flatbuffers::data().

    -

    Referenced by luci_interpreter::kernels::evalTISOInplaceKernel(), luci_interpreter::kernels::evalTISOInplaceQuantizedKernel(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleExpandDims(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    +

    Referenced by luci_interpreter::kernels::evalTISOInplaceKernel(), luci_interpreter::kernels::evalTISOInplaceQuantizedKernel(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleExpandDims(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    diff --git a/classluci__interpreter_1_1_runtime_shape.html b/classluci__interpreter_1_1_runtime_shape.html index 3920a7dc5de..acdc272bb63 100644 --- a/classluci__interpreter_1_1_runtime_shape.html +++ b/classluci__interpreter_1_1_runtime_shape.html @@ -595,7 +595,7 @@

    References dimsData().

    -

    Referenced by luci_interpreter_pal::BroadcastTo(), luci_interpreter::evalInteger(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSquaredDifference(), luci_interpreter::execute_kernel_CircleTanh(), luci_interpreter::execute_kernel_CircleZerosLike(), luci_interpreter_pal::Floor(), luci_interpreter_pal::GatherND(), luci_interpreter_pal::lstm_internal::lstmStep(), luci_interpreter_pal::lstm_internal::mul(), luci_interpreter_pal::lstm_internal::mul(), luci_interpreter_pal::lstm_internal::mul(), luci_interpreter_pal::Negate(), luci_interpreter_pal::ProcessBroadcastShapes(), luci_interpreter_pal::Select(), luci_interpreter_pal::lstm_internal::sigmoid(), luci_interpreter_pal::lstm_internal::sigmoid(), luci_interpreter_pal::lstm_internal::tanh(), luci_interpreter_pal::lstm_internal::tanh(), and luci_interpreter_pal::TransposeConv().

    +

    Referenced by luci_interpreter_pal::BroadcastTo(), luci_interpreter::evalInteger(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSquaredDifference(), luci_interpreter::execute_kernel_CircleTanh(), luci_interpreter::execute_kernel_CircleZerosLike(), luci_interpreter_pal::Floor(), luci_interpreter_pal::GatherND(), luci_interpreter_pal::lstm_internal::lstmStep(), luci_interpreter_pal::lstm_internal::mul(), luci_interpreter_pal::lstm_internal::mul(), luci_interpreter_pal::lstm_internal::mul(), luci_interpreter_pal::Negate(), luci_interpreter_pal::ProcessBroadcastShapes(), luci_interpreter_pal::Select(), luci_interpreter_pal::lstm_internal::sigmoid(), luci_interpreter_pal::lstm_internal::sigmoid(), luci_interpreter_pal::lstm_internal::tanh(), luci_interpreter_pal::lstm_internal::tanh(), and luci_interpreter_pal::TransposeConv().

    diff --git a/classluci__interpreter_1_1_shape.html b/classluci__interpreter_1_1_shape.html index 9a47e3b8276..0a32e3c53b2 100644 --- a/classluci__interpreter_1_1_shape.html +++ b/classluci__interpreter_1_1_shape.html @@ -243,7 +243,7 @@

    44 return _dims[i];
    45 }
    -

    Referenced by luci_interpreter::kernels::calcOffset(), luci_interpreter::kernels::calculateShapeForBroadcast(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthToSpace::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::L2Pool2D::configure(), luci_interpreter::kernels::MaxPool2D::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::ResizeBilinear::configure(), luci_interpreter::kernels::ResizeNearestNeighbor::configure(), luci_interpreter::kernels::Select::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::SpaceToDepth::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::SplitV::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::SVDF::configure(), luci_interpreter::kernels::Tile::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::TransposeConv::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), luci_interpreter::kernels::testing::dequantizeTensorData(), luci_interpreter_pal::eval_integer_8x8_16_lstm(), luci_interpreter::kernels::lstm::EvalFloat(), luci_interpreter::kernels::Transpose::execute(), luci_interpreter::kernels::getTensorShape(), large_num_elements(), luci_interpreter::kernels::testing::makeInputTensor(), and num_elements().

    +

    Referenced by luci_interpreter::kernels::calcOffset(), luci_interpreter::kernels::calculateShapeForBroadcast(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthToSpace::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::L2Pool2D::configure(), luci_interpreter::kernels::MaxPool2D::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::ResizeBilinear::configure(), luci_interpreter::kernels::ResizeNearestNeighbor::configure(), luci_interpreter::kernels::Select::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::SpaceToDepth::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::SplitV::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::SVDF::configure(), luci_interpreter::kernels::Tile::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::TransposeConv::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), luci_interpreter::kernels::testing::dequantizeTensorData(), luci_interpreter_pal::eval_integer_8x8_16_lstm(), luci_interpreter::kernels::lstm::EvalFloat(), luci_interpreter::kernels::Transpose::execute(), luci_interpreter::kernels::getTensorShape(), large_num_elements(), luci_interpreter::kernels::testing::makeInputTensor(), and num_elements().

    @@ -311,7 +311,7 @@

    Definition at line 39 of file Tensor.h.

    39{ return _dims.size(); }
    -

    Referenced by luci_interpreter::kernels::calculateShapeForBroadcast(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::BroadcastTo::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::ExpandDims::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::OneHot::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::Select::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::SplitV::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::SVDF::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), luci_interpreter::kernels::testing::dequantizeTensorData(), luci_interpreter::kernels::lstm::EvalFloat(), luci_interpreter::kernels::Pad::execute(), luci_interpreter::kernels::PadV2::execute(), luci_interpreter::kernels::StridedSlice::execute(), luci_interpreter::kernels::getTensorShape(), and luci_interpreter::kernels::testing::makeInputTensor().

    +

    Referenced by luci_interpreter::kernels::calculateShapeForBroadcast(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::BroadcastTo::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::ExpandDims::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::OneHot::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::Select::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::SplitV::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::SVDF::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), luci_interpreter::kernels::testing::dequantizeTensorData(), luci_interpreter::kernels::lstm::EvalFloat(), luci_interpreter::kernels::Pad::execute(), luci_interpreter::kernels::PadV2::execute(), luci_interpreter::kernels::StridedSlice::execute(), luci_interpreter::kernels::getTensorShape(), and luci_interpreter::kernels::testing::makeInputTensor().

    diff --git a/classluci__interpreter_1_1_tensor.html b/classluci__interpreter_1_1_tensor.html index 984e3c87eb9..ffe19be6e82 100644 --- a/classluci__interpreter_1_1_tensor.html +++ b/classluci__interpreter_1_1_tensor.html @@ -373,7 +373,7 @@

    Definition at line 105 of file Tensor.h.

    105{ return _element_type; }
    -

    Referenced by luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Unpack::configure(), luci_interpreter::kernels::FullyConnected::execute(), readData(), luci_interpreter::kernels::TransposeRowsColumns(), and writeData().

    +

    Referenced by luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::build_kernel_CircleSVDF(), luci_interpreter::build_kernel_CircleTransposeConv(), luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Unpack::configure(), luci_interpreter::kernels::FullyConnected::execute(), readData(), luci_interpreter::kernels::TransposeRowsColumns(), and writeData().

    @@ -805,7 +805,7 @@

    Definition at line 56 of file Tensor.cpp.

    56{ _shape = new_shape; }
    -

    Referenced by luci_interpreter::kernels::Abs::configure(), luci_interpreter::kernels::Add::configure(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::BatchMatMul::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::BroadcastTo::configure(), luci_interpreter::kernels::Cast::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::Cos::configure(), luci_interpreter::kernels::CumSum::configure(), luci_interpreter::kernels::DepthToSpace::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::Dequantize::configure(), luci_interpreter::kernels::Div::configure(), luci_interpreter::kernels::Elu::configure(), luci_interpreter::kernels::Equal::configure(), luci_interpreter::kernels::Exp::configure(), luci_interpreter::kernels::ExpandDims::configure(), luci_interpreter::kernels::Floor::configure(), luci_interpreter::kernels::FloorDiv::configure(), luci_interpreter::kernels::FloorMod::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::Gelu::configure(), luci_interpreter::kernels::Greater::configure(), luci_interpreter::kernels::GreaterEqual::configure(), luci_interpreter::kernels::HardSwish::configure(), luci_interpreter::kernels::InstanceNorm::configure(), luci_interpreter::kernels::L2Normalize::configure(), luci_interpreter::kernels::L2Pool2D::configure(), luci_interpreter::kernels::LeakyRelu::configure(), luci_interpreter::kernels::Less::configure(), luci_interpreter::kernels::LessEqual::configure(), luci_interpreter::kernels::LocalResponseNormalization::configure(), luci_interpreter::kernels::Log::configure(), luci_interpreter::kernels::LogicalAnd::configure(), luci_interpreter::kernels::LogicalNot::configure(), luci_interpreter::kernels::LogicalOr::configure(), luci_interpreter::kernels::Logistic::configure(), luci_interpreter::kernels::LogSoftmax::configure(), luci_interpreter::kernels::Maximum::configure(), luci_interpreter::kernels::MaxPool2D::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::Minimum::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::Mul::configure(), luci_interpreter::kernels::Neg::configure(), luci_interpreter::kernels::NotEqual::configure(), luci_interpreter::kernels::OneHot::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::Pow::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::Quantize::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::Relu::configure(), luci_interpreter::kernels::Relu6::configure(), luci_interpreter::kernels::Reshape::configure(), luci_interpreter::kernels::ResizeBilinear::configure(), luci_interpreter::kernels::ResizeNearestNeighbor::configure(), luci_interpreter::kernels::ReverseV2::configure(), luci_interpreter::kernels::Rsqrt::configure(), luci_interpreter::kernels::Select::configure(), luci_interpreter::kernels::SelectV2::configure(), luci_interpreter::kernels::ShapeKernel::configure(), luci_interpreter::kernels::Sin::configure(), luci_interpreter::kernels::Slice::configure(), luci_interpreter::kernels::Softmax::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::SpaceToDepth::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::Sqrt::configure(), luci_interpreter::kernels::Square::configure(), luci_interpreter::kernels::SquaredDifference::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::kernels::Sub::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::SVDF::configure(), luci_interpreter::kernels::Tanh::configure(), luci_interpreter::kernels::Tile::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::TransposeConv::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), and luci_interpreter::kernels::If::execute().

    +

    Referenced by luci_interpreter::kernels::Abs::configure(), luci_interpreter::kernels::Add::configure(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::BatchMatMul::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::BroadcastTo::configure(), luci_interpreter::kernels::Cast::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::Cos::configure(), luci_interpreter::kernels::CumSum::configure(), luci_interpreter::kernels::DepthToSpace::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::Dequantize::configure(), luci_interpreter::kernels::Div::configure(), luci_interpreter::kernels::Elu::configure(), luci_interpreter::kernels::Equal::configure(), luci_interpreter::kernels::Exp::configure(), luci_interpreter::kernels::ExpandDims::configure(), luci_interpreter::kernels::Floor::configure(), luci_interpreter::kernels::FloorDiv::configure(), luci_interpreter::kernels::FloorMod::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::Gelu::configure(), luci_interpreter::kernels::Greater::configure(), luci_interpreter::kernels::GreaterEqual::configure(), luci_interpreter::kernels::HardSwish::configure(), luci_interpreter::kernels::InstanceNorm::configure(), luci_interpreter::kernels::L2Normalize::configure(), luci_interpreter::kernels::L2Pool2D::configure(), luci_interpreter::kernels::LeakyRelu::configure(), luci_interpreter::kernels::Less::configure(), luci_interpreter::kernels::LessEqual::configure(), luci_interpreter::kernels::LocalResponseNormalization::configure(), luci_interpreter::kernels::Log::configure(), luci_interpreter::kernels::LogicalAnd::configure(), luci_interpreter::kernels::LogicalNot::configure(), luci_interpreter::kernels::LogicalOr::configure(), luci_interpreter::kernels::Logistic::configure(), luci_interpreter::kernels::LogSoftmax::configure(), luci_interpreter::kernels::Maximum::configure(), luci_interpreter::kernels::MaxPool2D::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::Minimum::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::Mul::configure(), luci_interpreter::kernels::Neg::configure(), luci_interpreter::kernels::NotEqual::configure(), luci_interpreter::kernels::OneHot::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::Pow::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::Quantize::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::Relu::configure(), luci_interpreter::kernels::Relu6::configure(), luci_interpreter::kernels::Reshape::configure(), luci_interpreter::kernels::ResizeBilinear::configure(), luci_interpreter::kernels::ResizeNearestNeighbor::configure(), luci_interpreter::kernels::ReverseV2::configure(), luci_interpreter::kernels::Rsqrt::configure(), luci_interpreter::kernels::Select::configure(), luci_interpreter::kernels::SelectV2::configure(), luci_interpreter::kernels::ShapeKernel::configure(), luci_interpreter::kernels::Sin::configure(), luci_interpreter::kernels::Slice::configure(), luci_interpreter::kernels::Softmax::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::SpaceToDepth::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::Sqrt::configure(), luci_interpreter::kernels::Square::configure(), luci_interpreter::kernels::SquaredDifference::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::kernels::Sub::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::SVDF::configure(), luci_interpreter::kernels::Tanh::configure(), luci_interpreter::kernels::Tile::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::TransposeConv::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), and luci_interpreter::kernels::If::execute().

    @@ -841,7 +841,7 @@

    References luci_interpreter::AffineQuantization::scale.

    -

    Referenced by luci_interpreter::kernels::LeakyRelu::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::Relu::configure(), luci_interpreter::kernels::Relu6::configure(), luci_interpreter::kernels::Dequantize::execute(), and luci_interpreter::kernels::Quantize::execute().

    +

    Referenced by luci_interpreter::kernels::LeakyRelu::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::Relu::configure(), luci_interpreter::kernels::Relu6::configure(), luci_interpreter::kernels::Dequantize::execute(), and luci_interpreter::kernels::Quantize::execute().

    @@ -1053,7 +1053,7 @@

    Definition at line 164 of file Tensor.h.

    164{ _is_observable = value; }
    -

    Referenced by luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), and luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM().

    +

    Referenced by luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleMean(), luci_interpreter::build_kernel_CircleReduceMax(), luci_interpreter::build_kernel_CircleReduceProd(), luci_interpreter::build_kernel_CircleSum(), luci_interpreter::build_kernel_CircleSVDF(), and luci_interpreter::build_kernel_CircleUnidirectionalSequenceLSTM().

    @@ -1115,7 +1115,7 @@

    Definition at line 107 of file Tensor.h.

    107{ return _shape; }
    -

    Referenced by RandomDataGenerator.RandomDataGenerator::_gen_float32(), RandomDataGenerator.RandomDataGenerator::_gen_int16(), RandomDataGenerator.RandomDataGenerator::_gen_uint8(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::BroadcastTo::configure(), luci_interpreter::kernels::Cast::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthToSpace::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::ExpandDims::configure(), luci_interpreter::kernels::Fill::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::L2Pool2D::configure(), luci_interpreter::kernels::MaxPool2D::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::OneHot::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::ResizeBilinear::configure(), luci_interpreter::kernels::ResizeNearestNeighbor::configure(), luci_interpreter::kernels::Select::configure(), luci_interpreter::kernels::SelectV2::configure(), luci_interpreter::kernels::ShapeKernel::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::SpaceToDepth::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::SplitV::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::SVDF::configure(), luci_interpreter::kernels::Tile::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::TransposeConv::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), luci_interpreter_pal::eval_integer_8x8_16_lstm(), luci_interpreter::kernels::lstm::EvalFloat(), luci_interpreter::kernels::ExpandDims::execute(), luci_interpreter::kernels::If::execute(), luci_interpreter::kernels::Pad::execute(), luci_interpreter::kernels::PadV2::execute(), luci_interpreter::kernels::Reshape::execute(), luci_interpreter::kernels::StridedSlice::execute(), luci_interpreter::kernels::Transpose::execute(), readData(), and writeData().

    +

    Referenced by RandomDataGenerator.RandomDataGenerator::_gen_float32(), RandomDataGenerator.RandomDataGenerator::_gen_int16(), RandomDataGenerator.RandomDataGenerator::_gen_uint8(), luci_interpreter::build_kernel_CircleFullyConnected(), luci_interpreter::kernels::ArgMax::configure(), luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::BatchToSpaceND::configure(), luci_interpreter::kernels::BroadcastTo::configure(), luci_interpreter::kernels::Cast::configure(), luci_interpreter::kernels::Concatenation::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthToSpace::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::ExpandDims::configure(), luci_interpreter::kernels::Fill::configure(), luci_interpreter::kernels::FullyConnected::configure(), luci_interpreter::kernels::Gather::configure(), luci_interpreter::kernels::L2Pool2D::configure(), luci_interpreter::kernels::MaxPool2D::configure(), luci_interpreter::kernels::Mean::configure(), luci_interpreter::kernels::MirrorPad::configure(), luci_interpreter::kernels::OneHot::configure(), luci_interpreter::kernels::Pack::configure(), luci_interpreter::kernels::Pad::configure(), luci_interpreter::kernels::PadV2::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::ReduceMax::configure(), luci_interpreter::kernels::ReduceProd::configure(), luci_interpreter::kernels::ResizeBilinear::configure(), luci_interpreter::kernels::ResizeNearestNeighbor::configure(), luci_interpreter::kernels::Select::configure(), luci_interpreter::kernels::SelectV2::configure(), luci_interpreter::kernels::ShapeKernel::configure(), luci_interpreter::kernels::SpaceToBatchND::configure(), luci_interpreter::kernels::SpaceToDepth::configure(), luci_interpreter::kernels::Split::configure(), luci_interpreter::kernels::SplitV::configure(), luci_interpreter::kernels::Squeeze::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::kernels::Sum::configure(), luci_interpreter::kernels::SVDF::configure(), luci_interpreter::kernels::Tile::configure(), luci_interpreter::kernels::Transpose::configure(), luci_interpreter::kernels::TransposeConv::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::Unpack::configure(), luci_interpreter_pal::eval_integer_8x8_16_lstm(), luci_interpreter::kernels::lstm::EvalFloat(), luci_interpreter::kernels::ExpandDims::execute(), luci_interpreter::kernels::If::execute(), luci_interpreter::kernels::Pad::execute(), luci_interpreter::kernels::PadV2::execute(), luci_interpreter::kernels::Reshape::execute(), luci_interpreter::kernels::StridedSlice::execute(), luci_interpreter::kernels::Transpose::execute(), readData(), and writeData().

    @@ -1296,7 +1296,7 @@

    References luci_interpreter::AffineQuantization::zero_point.

    -

    Referenced by luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::PRelu::configure(), and zero_points().

    +

    Referenced by luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::PRelu::configure(), and zero_points().

    diff --git a/classluci__interpreter_1_1kernels_1_1_conv2_d.html b/classluci__interpreter_1_1kernels_1_1_conv2_d.html index ad02031c026..2d65097caf3 100644 --- a/classluci__interpreter_1_1kernels_1_1_conv2_d.html +++ b/classluci__interpreter_1_1kernels_1_1_conv2_d.html @@ -214,7 +214,7 @@

    -

    Definition at line 32 of file Conv2D.cpp.

    +

    Definition at line 32 of file Conv2D.cpp.

    34 : KernelWithParams<Conv2DParams>({input, filter, bias}, {output, scratchpad}, params)
    35{
    36}
    @@ -258,7 +258,7 @@

    References luci_interpreter::Kernel::_inputs.

    -

    Referenced by configure(), and Conv2D().

    +

    Referenced by configure(), and Conv2D().

    @@ -287,7 +287,7 @@

    luci_interpreter::Kernel.

    -

    Definition at line 38 of file Conv2D.cpp.

    +

    Definition at line 38 of file Conv2D.cpp.

    39{
    40 // TensorFlow Lite (as of v2.2.0) supports the following combinations of types:
    41 // | input filter bias output |
    @@ -430,7 +430,7 @@

    luci_interpreter::Kernel.

    -

    Definition at line 136 of file Conv2D.cpp.

    +

    Definition at line 136 of file Conv2D.cpp.

    137{
    138 switch (input()->element_type())
    139 {
    @@ -497,7 +497,7 @@

    References luci_interpreter::Kernel::_inputs.

    -

    Referenced by configure(), Conv2D(), and execute().

    +

    Referenced by configure(), Conv2D(), and execute().

    @@ -529,7 +529,7 @@

    References luci_interpreter::Kernel::_inputs.

    -

    Referenced by configure(), Conv2D(), and execute().

    +

    Referenced by configure(), Conv2D(), and execute().

    @@ -562,13 +562,13 @@

    References luci_interpreter::Kernel::_outputs.

    -

    Referenced by configure().

    +

    Referenced by configure().


    The documentation for this class was generated from the following files:
    • compiler/luci-interpreter/src/kernels/Conv2D.h
    • -
    • compiler/luci-interpreter/src/kernels/Conv2D.cpp
    • +
    • compiler/luci-interpreter/src/kernels/Conv2D.cpp
    diff --git a/classluci__interpreter_1_1kernels_1_1_downsampling_conv2_d_kernel.html b/classluci__interpreter_1_1kernels_1_1_downsampling_conv2_d_kernel.html index 97e43930f2b..c1d31f35989 100644 --- a/classluci__interpreter_1_1kernels_1_1_downsampling_conv2_d_kernel.html +++ b/classluci__interpreter_1_1kernels_1_1_downsampling_conv2_d_kernel.html @@ -232,7 +232,7 @@

    Definition at line 66 of file ConvolutionCommon.h.

    66{ return _bias_tensor; }
    -

    Referenced by luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleDepthwiseConv2D(), luci_interpreter::execute_kernel_CircleConv2D(), and luci_interpreter::execute_kernel_CircleDepthwiseConv2D().

    +

    Referenced by luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleDepthwiseConv2D(), luci_interpreter::execute_kernel_CircleConv2D(), and luci_interpreter::execute_kernel_CircleDepthwiseConv2D().

    @@ -262,7 +262,7 @@

    Definition at line 65 of file ConvolutionCommon.h.

    65{ return _filter_tensor; }
    -

    Referenced by luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleDepthwiseConv2D(), luci_interpreter::execute_kernel_CircleConv2D(), and luci_interpreter::execute_kernel_CircleDepthwiseConv2D().

    +

    Referenced by luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleDepthwiseConv2D(), luci_interpreter::execute_kernel_CircleConv2D(), and luci_interpreter::execute_kernel_CircleDepthwiseConv2D().

    @@ -292,7 +292,7 @@

    Definition at line 64 of file ConvolutionCommon.h.

    64{ return _input_tensor; }
    -

    Referenced by luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleDepthwiseConv2D(), luci_interpreter::execute_kernel_CircleConv2D(), and luci_interpreter::execute_kernel_CircleDepthwiseConv2D().

    +

    Referenced by luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleDepthwiseConv2D(), luci_interpreter::execute_kernel_CircleConv2D(), and luci_interpreter::execute_kernel_CircleDepthwiseConv2D().

    @@ -322,7 +322,7 @@

    Definition at line 67 of file ConvolutionCommon.h.

    67{ return _output_tensor; }
    -

    Referenced by luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleDepthwiseConv2D(), luci_interpreter::execute_kernel_CircleConv2D(), and luci_interpreter::execute_kernel_CircleDepthwiseConv2D().

    +

    Referenced by luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleDepthwiseConv2D(), luci_interpreter::execute_kernel_CircleConv2D(), and luci_interpreter::execute_kernel_CircleDepthwiseConv2D().

    diff --git a/classluci__interpreter_1_1kernels_1_1_elu.html b/classluci__interpreter_1_1kernels_1_1_elu.html index 27213b0927a..a06fb55f167 100644 --- a/classluci__interpreter_1_1kernels_1_1_elu.html +++ b/classluci__interpreter_1_1kernels_1_1_elu.html @@ -168,7 +168,7 @@

    -

    Definition at line 30 of file Elu.cpp.

    +

    Definition at line 30 of file Elu.cpp.

    30: Kernel({input}, {output}) {}
    Kernel(std::vector< const Tensor * > inputs, std::vector< Tensor * > outputs)
    Definition Kernel.h:31
    Tensor * output() const
    Definition Elu.h:34
    @@ -204,7 +204,7 @@

    luci_interpreter::Kernel.

    -

    Definition at line 32 of file Elu.cpp.

    +

    Definition at line 32 of file Elu.cpp.

    33{
    34 LUCI_INTERPRETER_CHECK(input()->element_type() == output()->element_type());
    35 output()->resize(input()->shape());
    @@ -241,7 +241,7 @@

    luci_interpreter::Kernel.

    -

    Definition at line 38 of file Elu.cpp.

    +

    Definition at line 38 of file Elu.cpp.

    39{
    40 switch (input()->element_type())
    41 {
    @@ -288,7 +288,7 @@

    References luci_interpreter::Kernel::_inputs.

    -

    Referenced by configure(), Elu(), and execute().

    +

    Referenced by configure(), Elu(), and execute().

    @@ -321,13 +321,13 @@

    References luci_interpreter::Kernel::_outputs.

    -

    Referenced by configure(), and execute().

    +

    Referenced by configure(), and execute().


    The documentation for this class was generated from the following files:
    • compiler/luci-interpreter/src/kernels/Elu.h
    • -
    • compiler/luci-interpreter/src/kernels/Elu.cpp
    • +
    • compiler/luci-interpreter/src/kernels/Elu.cpp
    diff --git a/classluci__interpreter_1_1kernels_1_1_fully_connected.html b/classluci__interpreter_1_1kernels_1_1_fully_connected.html index 6f429105504..0d564bc8add 100644 --- a/classluci__interpreter_1_1kernels_1_1_fully_connected.html +++ b/classluci__interpreter_1_1kernels_1_1_fully_connected.html @@ -324,7 +324,7 @@

    References luci_interpreter::Kernel::_inputs.

    -

    Referenced by configure(), execute(), and FullyConnected().

    +

    Referenced by configure(), execute(), and FullyConnected().

    @@ -380,38 +380,45 @@

    61 LUCI_INTERPRETER_CHECK(output()->element_type() == DataType::FLOAT32);
    62 LUCI_INTERPRETER_CHECK(!bias() || bias()->element_type() == DataType::FLOAT32)
    63 }
    -
    64 else
    +
    64 else if (weights()->element_type() == DataType::U4)
    65 {
    -
    66 throw std::runtime_error("luci-intp FullyConnected(1) Unsupported type.");
    -
    67 }
    -
    68
    -
    69 const Shape &input_shape = input()->shape();
    -
    70 const Shape &weights_shape = weights()->shape();
    -
    71
    -
    72 LUCI_INTERPRETER_CHECK(weights_shape.num_dims() == 2);
    -
    73 LUCI_INTERPRETER_CHECK(bias() == nullptr ||
    -
    74 bias()->shape().num_elements() == weights_shape.dim(0));
    +
    66 // TODO support other combinations when needed
    +
    67 LUCI_INTERPRETER_CHECK(input()->element_type() == DataType::FLOAT32);
    +
    68 LUCI_INTERPRETER_CHECK(output()->element_type() == DataType::FLOAT32);
    +
    69 LUCI_INTERPRETER_CHECK(!bias() || bias()->element_type() == DataType::FLOAT32)
    +
    70 }
    +
    71 else
    +
    72 {
    +
    73 throw std::runtime_error("luci-intp FullyConnected(1) Unsupported type.");
    +
    74 }
    75
    -
    76 LUCI_INTERPRETER_CHECK(input_shape.num_elements() % weights_shape.dim(1) == 0);
    -
    77 const int32_t batch_size = input_shape.num_elements() / weights_shape.dim(1);
    -
    78 const int32_t num_units = weights_shape.dim(0);
    -
    79
    -
    80 if (bias())
    -
    81 LUCI_INTERPRETER_CHECK(bias()->shape().num_elements() == weights()->shape().dim(0));
    +
    76 const Shape &input_shape = input()->shape();
    +
    77 const Shape &weights_shape = weights()->shape();
    +
    78
    +
    79 LUCI_INTERPRETER_CHECK(weights_shape.num_dims() == 2);
    +
    80 LUCI_INTERPRETER_CHECK(bias() == nullptr ||
    +
    81 bias()->shape().num_elements() == weights_shape.dim(0));
    82
    -
    83 if (params().keep_num_dims == false)
    -
    84 {
    -
    85 output()->resize({batch_size, num_units});
    -
    86 }
    -
    87 else
    -
    88 {
    -
    89 luci_interpreter::Shape output_shape(input_shape.num_dims());
    -
    90 for (int i = 0; i < input_shape.num_dims(); ++i)
    -
    91 output_shape.dim(i) = input_shape.dim(i);
    -
    92 output_shape.dim(input_shape.num_dims() - 1) = num_units;
    - -
    94 }
    -
    95}
    +
    83 LUCI_INTERPRETER_CHECK(input_shape.num_elements() % weights_shape.dim(1) == 0);
    +
    84 const int32_t batch_size = input_shape.num_elements() / weights_shape.dim(1);
    +
    85 const int32_t num_units = weights_shape.dim(0);
    +
    86
    +
    87 if (bias())
    +
    88 LUCI_INTERPRETER_CHECK(bias()->shape().num_elements() == weights()->shape().dim(0));
    +
    89
    +
    90 if (params().keep_num_dims == false)
    +
    91 {
    +
    92 output()->resize({batch_size, num_units});
    +
    93 }
    +
    94 else
    +
    95 {
    +
    96 luci_interpreter::Shape output_shape(input_shape.num_dims());
    +
    97 for (int i = 0; i < input_shape.num_dims(); ++i)
    +
    98 output_shape.dim(i) = input_shape.dim(i);
    +
    99 output_shape.dim(input_shape.num_dims() - 1) = num_units;
    + +
    101 }
    +
    102}
    const luci_interpreter::RuntimeShape output_shape
    void resize(const Shape &new_shape)
    Definition Tensor.cpp:56
    @@ -449,34 +456,45 @@

    luci_interpreter::Kernel.

    -

    Definition at line 97 of file FullyConnected.cpp.

    -
    98{
    -
    99 const bool is_hybrid =
    -
    100 (input()->element_type() == DataType::FLOAT32 && weights()->element_type() == DataType::S4 &&
    -
    101 output()->element_type() == DataType::FLOAT32 &&
    -
    102 (!bias() || bias()->element_type() == DataType::FLOAT32));
    -
    103 if (is_hybrid)
    -
    104 {
    -
    105 evalHybridWI4AF32();
    -
    106 }
    -
    107 else
    -
    108 {
    -
    109 switch (input()->element_type())
    -
    110 {
    -
    111 case DataType::U8:
    -
    112 evalQuantized();
    -
    113 break;
    -
    114 case DataType::S8:
    -
    115 evalQuantizedS8();
    -
    116 break;
    -
    117 case DataType::FLOAT32:
    -
    118 evalFloat();
    -
    119 break;
    -
    120 default:
    -
    121 throw std::runtime_error("luci-intp FullyConnected(2) Unsupported type.");
    -
    122 }
    -
    123 }
    -
    124}
    +

    Definition at line 104 of file FullyConnected.cpp.

    +
    105{
    +
    106 const bool is_hybrid =
    +
    107 (input()->element_type() == DataType::FLOAT32 &&
    +
    108 (weights()->element_type() == DataType::S4 || weights()->element_type() == DataType::U4) &&
    +
    109 output()->element_type() == DataType::FLOAT32 &&
    +
    110 (!bias() || bias()->element_type() == DataType::FLOAT32));
    +
    111 if (is_hybrid)
    +
    112 {
    +
    113 switch (weights()->element_type())
    +
    114 {
    +
    115 case DataType::S4:
    +
    116 evalHybridWI4AF32();
    +
    117 break;
    +
    118 case DataType::U4:
    +
    119 evalHybridWU4AF32();
    +
    120 break;
    +
    121 default:
    +
    122 throw std::runtime_error("luci-intp FullyConnected(3) Unsupported type.");
    +
    123 }
    +
    124 }
    +
    125 else
    +
    126 {
    +
    127 switch (input()->element_type())
    +
    128 {
    +
    129 case DataType::U8:
    +
    130 evalQuantized();
    +
    131 break;
    +
    132 case DataType::S8:
    +
    133 evalQuantizedS8();
    +
    134 break;
    +
    135 case DataType::FLOAT32:
    +
    136 evalFloat();
    +
    137 break;
    +
    138 default:
    +
    139 throw std::runtime_error("luci-intp FullyConnected(2) Unsupported type.");
    +
    140 }
    +
    141 }
    +
    142}
    DataType element_type() const
    Definition Tensor.h:105

    References bias(), luci_interpreter::Tensor::element_type(), input(), output(), and weights().

    @@ -511,7 +529,7 @@

    References luci_interpreter::Kernel::_inputs.

    -

    Referenced by configure(), execute(), and FullyConnected().

    +

    Referenced by configure(), execute(), and FullyConnected().

    @@ -544,7 +562,7 @@

    References luci_interpreter::Kernel::_outputs.

    -

    Referenced by configure(), and execute().

    +

    Referenced by configure(), and execute().

    @@ -606,7 +624,7 @@

    References luci_interpreter::Kernel::_inputs.

    -

    Referenced by configure(), execute(), and FullyConnected().

    +

    Referenced by configure(), execute(), and FullyConnected().

    diff --git a/classluci__interpreter_1_1kernels_1_1_leaky_relu.html b/classluci__interpreter_1_1kernels_1_1_leaky_relu.html index e9ecb73e451..25d564b4001 100644 --- a/classluci__interpreter_1_1kernels_1_1_leaky_relu.html +++ b/classluci__interpreter_1_1kernels_1_1_leaky_relu.html @@ -190,7 +190,7 @@

    -

    Definition at line 33 of file LeakyRelu.cpp.

    +

    Definition at line 33 of file LeakyRelu.cpp.

    34 : KernelWithParams<LeakyReluParams>({input}, {output}, params)
    35{
    36}
    @@ -228,7 +228,7 @@

    luci_interpreter::Kernel.

    -

    Definition at line 38 of file LeakyRelu.cpp.

    +

    Definition at line 38 of file LeakyRelu.cpp.

    39{
    40 LUCI_INTERPRETER_CHECK(input()->element_type() == output()->element_type());
    41 if (input()->element_type() == DataType::U8)
    @@ -275,7 +275,7 @@

    luci_interpreter::Kernel.

    -

    Definition at line 51 of file LeakyRelu.cpp.

    +

    Definition at line 51 of file LeakyRelu.cpp.

    52{
    53 switch (input()->element_type())
    54 {
    @@ -323,7 +323,7 @@

    References luci_interpreter::Kernel::_inputs.

    -

    Referenced by configure(), execute(), and LeakyRelu().

    +

    Referenced by configure(), execute(), and LeakyRelu().

    @@ -356,13 +356,13 @@

    References luci_interpreter::Kernel::_outputs.

    -

    Referenced by configure().

    +

    Referenced by configure().


    The documentation for this class was generated from the following files: diff --git a/classluci__interpreter_1_1kernels_1_1_relu6.html b/classluci__interpreter_1_1kernels_1_1_relu6.html index f762ca4477a..4db3f0b0087 100644 --- a/classluci__interpreter_1_1kernels_1_1_relu6.html +++ b/classluci__interpreter_1_1kernels_1_1_relu6.html @@ -168,7 +168,7 @@

    -

    Definition at line 30 of file Relu6.cpp.

    +

    Definition at line 30 of file Relu6.cpp.

    30: Kernel({input}, {output}) {}
    Kernel(std::vector< const Tensor * > inputs, std::vector< Tensor * > outputs)
    Definition Kernel.h:31
    Tensor * output() const
    Definition Relu6.h:33
    @@ -204,7 +204,7 @@

    luci_interpreter::Kernel.

    -

    Definition at line 32 of file Relu6.cpp.

    +

    Definition at line 32 of file Relu6.cpp.

    33{
    34 LUCI_INTERPRETER_CHECK(input()->element_type() == output()->element_type());
    35
    @@ -249,7 +249,7 @@

    luci_interpreter::Kernel.

    -

    Definition at line 44 of file Relu6.cpp.

    +

    Definition at line 44 of file Relu6.cpp.

    45{
    46 switch (input()->element_type())
    47 {
    @@ -297,7 +297,7 @@

    References luci_interpreter::Kernel::_inputs.

    -

    Referenced by configure(), execute(), and Relu6().

    +

    Referenced by configure(), execute(), and Relu6().

    @@ -330,13 +330,13 @@

    References luci_interpreter::Kernel::_outputs.

    -

    Referenced by configure().

    +

    Referenced by configure().


    The documentation for this class was generated from the following files:
    • compiler/luci-interpreter/src/kernels/Relu6.h
    • -
    • compiler/luci-interpreter/src/kernels/Relu6.cpp
    • +
    • compiler/luci-interpreter/src/kernels/Relu6.cpp
    diff --git a/classluci__interpreter_1_1kernels_1_1_s_i_s_o_kernel.html b/classluci__interpreter_1_1kernels_1_1_s_i_s_o_kernel.html index 91cf8bcf898..d4424defe8b 100644 --- a/classluci__interpreter_1_1kernels_1_1_s_i_s_o_kernel.html +++ b/classluci__interpreter_1_1kernels_1_1_s_i_s_o_kernel.html @@ -191,7 +191,7 @@

    Definition at line 46 of file SISOKernel.h.

    46{ return _input_tensor; }
    -

    Referenced by luci_interpreter::configure_kernel_CircleAbs(), luci_interpreter::configure_kernel_CircleCast(), luci_interpreter::configure_kernel_CircleCeil(), luci_interpreter::configure_kernel_CircleCos(), luci_interpreter::configure_kernel_CircleDepthToSpace(), luci_interpreter::configure_kernel_CircleDequantize(), luci_interpreter::configure_kernel_CircleElu(), luci_interpreter::configure_kernel_CircleExp(), luci_interpreter::configure_kernel_CircleL2Normalize(), luci_interpreter::configure_kernel_CircleLeakyRelu(), luci_interpreter::configure_kernel_CircleLog(), luci_interpreter::configure_kernel_CircleLogicalNot(), luci_interpreter::configure_kernel_CircleLogistic(), luci_interpreter::configure_kernel_CircleLogSoftmax(), luci_interpreter::configure_kernel_CirclePool2DCommon(), luci_interpreter::configure_kernel_CircleQuantize(), luci_interpreter::configure_kernel_CircleRelu(), luci_interpreter::configure_kernel_CircleRelu6(), luci_interpreter::configure_kernel_CircleRound(), luci_interpreter::configure_kernel_CircleRsqrt(), luci_interpreter::configure_kernel_CircleSin(), luci_interpreter::configure_kernel_CircleSoftmax(), luci_interpreter::configure_kernel_CircleSpaceToDepth(), luci_interpreter::configure_kernel_CircleSqrt(), luci_interpreter::configure_kernel_CircleSquare(), luci_interpreter::configure_kernel_CircleSqueeze(), luci_interpreter::configure_kernel_CircleTanh(), luci_interpreter::configure_kernel_CircleZerosLike(), luci_interpreter::createPoolParams(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSoftmax(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSqueeze(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    +

    Referenced by luci_interpreter::configure_kernel_CircleAbs(), luci_interpreter::configure_kernel_CircleCast(), luci_interpreter::configure_kernel_CircleCeil(), luci_interpreter::configure_kernel_CircleCos(), luci_interpreter::configure_kernel_CircleDepthToSpace(), luci_interpreter::configure_kernel_CircleDequantize(), luci_interpreter::configure_kernel_CircleElu(), luci_interpreter::configure_kernel_CircleExp(), luci_interpreter::configure_kernel_CircleL2Normalize(), luci_interpreter::configure_kernel_CircleLeakyRelu(), luci_interpreter::configure_kernel_CircleLog(), luci_interpreter::configure_kernel_CircleLogicalNot(), luci_interpreter::configure_kernel_CircleLogistic(), luci_interpreter::configure_kernel_CircleLogSoftmax(), luci_interpreter::configure_kernel_CirclePool2DCommon(), luci_interpreter::configure_kernel_CircleQuantize(), luci_interpreter::configure_kernel_CircleRelu(), luci_interpreter::configure_kernel_CircleRelu6(), luci_interpreter::configure_kernel_CircleRound(), luci_interpreter::configure_kernel_CircleRsqrt(), luci_interpreter::configure_kernel_CircleSin(), luci_interpreter::configure_kernel_CircleSoftmax(), luci_interpreter::configure_kernel_CircleSpaceToDepth(), luci_interpreter::configure_kernel_CircleSqrt(), luci_interpreter::configure_kernel_CircleSquare(), luci_interpreter::configure_kernel_CircleSqueeze(), luci_interpreter::configure_kernel_CircleTanh(), luci_interpreter::configure_kernel_CircleZerosLike(), luci_interpreter::createPoolParams(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSoftmax(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSqueeze(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    @@ -221,7 +221,7 @@

    Definition at line 47 of file SISOKernel.h.

    47{ return _output_tensor; }
    -

    Referenced by luci_interpreter::configure_kernel_CircleAbs(), luci_interpreter::configure_kernel_CircleCast(), luci_interpreter::configure_kernel_CircleCeil(), luci_interpreter::configure_kernel_CircleCos(), luci_interpreter::configure_kernel_CircleDepthToSpace(), luci_interpreter::configure_kernel_CircleDequantize(), luci_interpreter::configure_kernel_CircleElu(), luci_interpreter::configure_kernel_CircleExp(), luci_interpreter::configure_kernel_CircleL2Normalize(), luci_interpreter::configure_kernel_CircleLeakyRelu(), luci_interpreter::configure_kernel_CircleLog(), luci_interpreter::configure_kernel_CircleLogicalNot(), luci_interpreter::configure_kernel_CircleLogistic(), luci_interpreter::configure_kernel_CircleLogSoftmax(), luci_interpreter::configure_kernel_CirclePool2DCommon(), luci_interpreter::configure_kernel_CircleQuantize(), luci_interpreter::configure_kernel_CircleRelu(), luci_interpreter::configure_kernel_CircleRelu6(), luci_interpreter::configure_kernel_CircleRound(), luci_interpreter::configure_kernel_CircleRsqrt(), luci_interpreter::configure_kernel_CircleShape(), luci_interpreter::configure_kernel_CircleSin(), luci_interpreter::configure_kernel_CircleSoftmax(), luci_interpreter::configure_kernel_CircleSpaceToDepth(), luci_interpreter::configure_kernel_CircleSqrt(), luci_interpreter::configure_kernel_CircleSquare(), luci_interpreter::configure_kernel_CircleSqueeze(), luci_interpreter::configure_kernel_CircleTanh(), luci_interpreter::configure_kernel_CircleZerosLike(), luci_interpreter::createPoolParams(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSoftmax(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSqueeze(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    +

    Referenced by luci_interpreter::configure_kernel_CircleAbs(), luci_interpreter::configure_kernel_CircleCast(), luci_interpreter::configure_kernel_CircleCeil(), luci_interpreter::configure_kernel_CircleCos(), luci_interpreter::configure_kernel_CircleDepthToSpace(), luci_interpreter::configure_kernel_CircleDequantize(), luci_interpreter::configure_kernel_CircleElu(), luci_interpreter::configure_kernel_CircleExp(), luci_interpreter::configure_kernel_CircleL2Normalize(), luci_interpreter::configure_kernel_CircleLeakyRelu(), luci_interpreter::configure_kernel_CircleLog(), luci_interpreter::configure_kernel_CircleLogicalNot(), luci_interpreter::configure_kernel_CircleLogistic(), luci_interpreter::configure_kernel_CircleLogSoftmax(), luci_interpreter::configure_kernel_CirclePool2DCommon(), luci_interpreter::configure_kernel_CircleQuantize(), luci_interpreter::configure_kernel_CircleRelu(), luci_interpreter::configure_kernel_CircleRelu6(), luci_interpreter::configure_kernel_CircleRound(), luci_interpreter::configure_kernel_CircleRsqrt(), luci_interpreter::configure_kernel_CircleShape(), luci_interpreter::configure_kernel_CircleSin(), luci_interpreter::configure_kernel_CircleSoftmax(), luci_interpreter::configure_kernel_CircleSpaceToDepth(), luci_interpreter::configure_kernel_CircleSqrt(), luci_interpreter::configure_kernel_CircleSquare(), luci_interpreter::configure_kernel_CircleSqueeze(), luci_interpreter::configure_kernel_CircleTanh(), luci_interpreter::configure_kernel_CircleZerosLike(), luci_interpreter::createPoolParams(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSoftmax(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSqueeze(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    diff --git a/classmir_1_1_shape.html b/classmir_1_1_shape.html index 839b2640ff3..a855ebfb660 100644 --- a/classmir_1_1_shape.html +++ b/classmir_1_1_shape.html @@ -325,7 +325,7 @@

    References dim(), adt::small_vector< T, Capacity >::size(), and mir::wrap_index().

    -

    Referenced by mir::broadcastShapes(), mir_caffe::CaffeOpCreator::checkReshape(), mir::ShapeRange::contains(), mir_onnx::convertBatchNormalizationV9(), mir_caffe2::Caffe2OpCreator::convertFC(), mir_tflite::TFLiteOpCreator::convertFullyConnected(), mir_tflite::TFLiteOpCreator::convertReshape(), mir_onnx::convertReshapeV1(), mir_tflite::TFLiteOpCreator::convertResizeNearestNeighbor(), mir_tflite::TFLiteOpCreator::convertShape(), mir_tflite::TFLiteOpCreator::convertStridedSlice(), mir_onnx::convertUnsqueezeV1(), mir_onnx::createTensor(), dim(), dim(), mir_onnx::fixPads(), nnc::AclCppOpGenerator::genPadStrideInfo(), mir::Tensor< T >::getRegion(), mir_onnx::inferAutoPadding(), numElements(), mir::ShapeIter::operator++(), mir_interpreter::DepthwiseConv2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::SoftmaxImpl< T >::run(), mir_interpreter::PadImpl< T >::run(), mir_interpreter::FullyConnectedImpl< T >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), mir_interpreter::Conv2DImpl< T >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), mir_interpreter::DeConv2DImpl< T >::run(), mir_interpreter::shift(), mir::TensorVariant::TensorVariant(), mir::TensorVariant::TensorVariant(), TEST(), mir::toString(), mir::transposeShape(), mir::transposeTensor(), mir2loco::Transformer::visit(), nnc::ModelAnalyzer::visit(), nnc::ModelAnalyzer::visit(), nnc::AclCppOpGenerator::visit(), and nnc::AclCppOpGenerator::visit().

    +

    Referenced by mir::broadcastShapes(), mir_caffe::CaffeOpCreator::checkReshape(), mir::ShapeRange::contains(), mir_onnx::convertBatchNormalizationV9(), mir_caffe2::Caffe2OpCreator::convertFC(), mir_tflite::TFLiteOpCreator::convertFullyConnected(), mir_tflite::TFLiteOpCreator::convertReshape(), mir_onnx::convertReshapeV1(), mir_tflite::TFLiteOpCreator::convertResizeNearestNeighbor(), mir_tflite::TFLiteOpCreator::convertShape(), mir_tflite::TFLiteOpCreator::convertStridedSlice(), mir_onnx::convertUnsqueezeV1(), mir_onnx::createTensor(), dim(), dim(), mir_onnx::fixPads(), nnc::AclCppOpGenerator::genPadStrideInfo(), mir::Tensor< T >::getRegion(), mir_onnx::inferAutoPadding(), numElements(), mir::ShapeIter::operator++(), mir_interpreter::DepthwiseConv2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::SoftmaxImpl< T >::run(), mir_interpreter::PadImpl< T >::run(), mir_interpreter::FullyConnectedImpl< T >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), mir_interpreter::Conv2DImpl< T >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), mir_interpreter::DeConv2DImpl< T >::run(), mir_interpreter::shift(), mir::TensorVariant::TensorVariant(), mir::TensorVariant::TensorVariant(), TEST(), mir::toString(), mir::transposeShape(), mir::transposeTensor(), mir2loco::Transformer::visit(), nnc::ModelAnalyzer::visit(), nnc::ModelAnalyzer::visit(), nnc::AclCppOpGenerator::visit(), and nnc::AclCppOpGenerator::visit().

    @@ -449,7 +449,7 @@

    References adt::small_vector< T, Capacity >::size().

    -

    Referenced by mir::broadcastShapes(), mir_caffe::CaffeOpCreator::checkReshape(), mir::ShapeRange::contains(), mir_onnx::convertBatchNormalizationV9(), mir_tflite::TFLiteOpCreator::convertPad(), mir_onnx::convertReshapeV1(), mir_onnx::convertReshapeV5(), mir_tflite::TFLiteOpCreator::convertShape(), mir_tflite::TFLiteOpCreator::convertStridedSlice(), mir_onnx::convertUnsqueezeV1(), nnc::AclCppOpGenerator::genPadStrideInfo(), mir::ops::ConcatOp::getAxis(), mir::ops::SoftmaxOp::getAxis(), mir::TensorVariant::getOffset(), mir::Tensor< T >::getRegion(), numElements(), mir::ShapeIter::operator++(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::TransposeImpl< T >::run(), mir_interpreter::PadImpl< T >::run(), mir_interpreter::FullyConnectedImpl< T >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), mir_interpreter::shift(), mir::TensorVariant::TensorVariant(), mir::toString(), mir::transposeShape(), mir2loco::Transformer::visit(), nnc::Serializer::visit(), and nnc::AclCppOpGenerator::visit().

    +

    Referenced by mir::broadcastShapes(), mir_caffe::CaffeOpCreator::checkReshape(), mir::ShapeRange::contains(), mir_onnx::convertBatchNormalizationV9(), mir_tflite::TFLiteOpCreator::convertPad(), mir_onnx::convertReshapeV1(), mir_onnx::convertReshapeV5(), mir_tflite::TFLiteOpCreator::convertShape(), mir_tflite::TFLiteOpCreator::convertStridedSlice(), mir_onnx::convertUnsqueezeV1(), nnc::AclCppOpGenerator::genPadStrideInfo(), mir::ops::ConcatOp::getAxis(), mir::ops::SoftmaxOp::getAxis(), mir::TensorVariant::getOffset(), mir::Tensor< T >::getRegion(), numElements(), mir::ShapeIter::operator++(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::TransposeImpl< T >::run(), mir_interpreter::PadImpl< T >::run(), mir_interpreter::FullyConnectedImpl< T >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), mir_interpreter::shift(), mir::TensorVariant::TensorVariant(), mir::toString(), mir::transposeShape(), mir2loco::Transformer::visit(), nnc::Serializer::visit(), and nnc::AclCppOpGenerator::visit().

    diff --git a/classmir_1_1_tensor.html b/classmir_1_1_tensor.html index c316d141254..9cefe076d90 100644 --- a/classmir_1_1_tensor.html +++ b/classmir_1_1_tensor.html @@ -216,7 +216,7 @@

    References mir::TensorVariant::at().

    -

    Referenced by mir_caffe::CaffeOpCreator::convertBatchNorm(), mir_onnx::convertBatchNormalizationV9(), mir_tflite::TFLiteOpCreator::convertPad(), mir_caffe2::Caffe2OpCreator::convertReshape(), mir_onnx::convertReshapeV5(), mir_tflite::TFLiteOpCreator::convertResizeNearestNeighbor(), mir_caffe2::Caffe2OpCreator::convertSpatialBN(), mir_interpreter::Dequantize(), mir_interpreter::Quantize(), mir_interpreter::AvgPool2DImpl< uint8_t >::run(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::ELUImpl< T >::run(), mir_interpreter::LeakyReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< uint8_t >::run(), mir_interpreter::SoftmaxImpl< T >::run(), mir_interpreter::AbsImpl< T >::run(), mir_interpreter::ReLUImpl< T >::run(), mir_interpreter::SigmoidImpl< T >::run(), mir_interpreter::SqrtImpl< T >::run(), mir_interpreter::TanhImpl< T >::run(), mir_interpreter::MaxPool2DImpl< uint8_t >::run(), mir_interpreter::MaxPool2DImpl< T >::run(), mir_interpreter::PadImpl< T >::run(), mir_interpreter::ReduceMeanImpl< T >::run(), mir_interpreter::FullyConnectedImpl< T >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), mir_interpreter::AddImpl< T >::run(), mir_interpreter::AddImpl< uint8_t >::run(), mir_interpreter::DivImpl< T >::run(), mir_interpreter::EqualImpl< T >::run(), mir_interpreter::GreaterImpl< T >::run(), mir_interpreter::LessImpl< T >::run(), mir_interpreter::MaxImpl< T >::run(), mir_interpreter::MulImpl< T >::run(), mir_interpreter::SubImpl< T >::run(), and mir_interpreter::FillImpl< T >::run().

    +

    Referenced by mir_caffe::CaffeOpCreator::convertBatchNorm(), mir_onnx::convertBatchNormalizationV9(), mir_tflite::TFLiteOpCreator::convertPad(), mir_caffe2::Caffe2OpCreator::convertReshape(), mir_onnx::convertReshapeV5(), mir_tflite::TFLiteOpCreator::convertResizeNearestNeighbor(), mir_caffe2::Caffe2OpCreator::convertSpatialBN(), mir_interpreter::Dequantize(), mir_interpreter::Quantize(), mir_interpreter::AvgPool2DImpl< uint8_t >::run(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::ELUImpl< T >::run(), mir_interpreter::LeakyReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< uint8_t >::run(), mir_interpreter::SoftmaxImpl< T >::run(), mir_interpreter::AbsImpl< T >::run(), mir_interpreter::ReLUImpl< T >::run(), mir_interpreter::SigmoidImpl< T >::run(), mir_interpreter::SqrtImpl< T >::run(), mir_interpreter::TanhImpl< T >::run(), mir_interpreter::MaxPool2DImpl< uint8_t >::run(), mir_interpreter::MaxPool2DImpl< T >::run(), mir_interpreter::PadImpl< T >::run(), mir_interpreter::ReduceMeanImpl< T >::run(), mir_interpreter::FullyConnectedImpl< T >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), mir_interpreter::AddImpl< T >::run(), mir_interpreter::AddImpl< uint8_t >::run(), mir_interpreter::DivImpl< T >::run(), mir_interpreter::EqualImpl< T >::run(), mir_interpreter::GreaterImpl< T >::run(), mir_interpreter::LessImpl< T >::run(), mir_interpreter::MaxImpl< T >::run(), mir_interpreter::MulImpl< T >::run(), mir_interpreter::SubImpl< T >::run(), and mir_interpreter::FillImpl< T >::run().

    diff --git a/classmir_1_1_tensor_variant.html b/classmir_1_1_tensor_variant.html index 7d06aa7e620..9b1cc401c30 100644 --- a/classmir_1_1_tensor_variant.html +++ b/classmir_1_1_tensor_variant.html @@ -440,7 +440,7 @@

    References getShape(), and offset().

    -

    Referenced by mir::Tensor< T >::atOffset(), mir::Tensor< T >::atOffset(), mir_interpreter::erase(), mir_interpreter::HardSwishImpl< T >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), mir_interpreter::Conv2DImpl< T >::run(), and mir_interpreter::DeConv2DImpl< T >::run().

    +

    Referenced by mir::Tensor< T >::atOffset(), mir::Tensor< T >::atOffset(), mir_interpreter::erase(), mir_interpreter::HardSwishImpl< T >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), mir_interpreter::Conv2DImpl< T >::run(), and mir_interpreter::DeConv2DImpl< T >::run().

    @@ -533,7 +533,7 @@

    References mir::TensorType::getElementType().

    -

    Referenced by mir_interpreter::Add(), mir_onnx::constantToShape(), mir_interpreter::Conv2D(), mir_interpreter::Div(), mir_interpreter::ELU(), mir_interpreter::Equal(), mir_interpreter::Fill(), mir_interpreter::FullyConnected(), mir_interpreter::Greater(), mir_interpreter::LeakyReLU(), mir_interpreter::Less(), mir_interpreter::Max(), mir_interpreter::Mul(), mir_interpreter::GatherByT< T >::run(), mir_interpreter::Sub(), and TensorVariant().

    +

    Referenced by mir_interpreter::Add(), mir_onnx::constantToShape(), mir_interpreter::Conv2D(), mir_interpreter::Div(), mir_interpreter::ELU(), mir_interpreter::Equal(), mir_interpreter::Fill(), mir_interpreter::FullyConnected(), mir_interpreter::Greater(), mir_interpreter::LeakyReLU(), mir_interpreter::Less(), mir_interpreter::Max(), mir_interpreter::Mul(), mir_interpreter::GatherByT< T >::run(), mir_interpreter::Sub(), and TensorVariant().

    @@ -606,7 +606,7 @@

    References mir::TensorType::getShape().

    -

    Referenced by atOffset(), mir_interpreter::erase(), getOffset(), mir::Tensor< T >::getShape(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::SliceImpl< T >::run(), mir_interpreter::ELUImpl< T >::run(), mir_interpreter::LeakyReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< uint8_t >::run(), mir_interpreter::SoftmaxImpl< T >::run(), mir_interpreter::AbsImpl< T >::run(), mir_interpreter::ReLUImpl< T >::run(), mir_interpreter::SigmoidImpl< T >::run(), mir_interpreter::SqrtImpl< T >::run(), mir_interpreter::TanhImpl< T >::run(), mir_interpreter::TransposeImpl< T >::run(), mir_interpreter::FullyConnectedImpl< T >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), mir_interpreter::GatherImpl< T, IndicesT >::run(), mir_interpreter::Conv2DImpl< T >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), mir_interpreter::DeConv2DImpl< T >::run(), mir_interpreter::AddImpl< T >::run(), mir_interpreter::AddImpl< uint8_t >::run(), mir_interpreter::DivImpl< T >::run(), mir_interpreter::EqualImpl< T >::run(), mir_interpreter::GreaterImpl< T >::run(), mir_interpreter::LessImpl< T >::run(), mir_interpreter::MaxImpl< T >::run(), mir_interpreter::MulImpl< T >::run(), mir_interpreter::SubImpl< T >::run(), mir_interpreter::FillImpl< T >::run(), TensorVariant(), TensorVariant(), TensorVariant(), TEST(), and nnc::AclCppOpGenerator::visit().

    +

    Referenced by atOffset(), mir_interpreter::erase(), getOffset(), mir::Tensor< T >::getShape(), mir_interpreter::AvgPool2DImpl< T >::run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::SliceImpl< T >::run(), mir_interpreter::ELUImpl< T >::run(), mir_interpreter::LeakyReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< T >::run(), mir_interpreter::CappedReLUImpl< uint8_t >::run(), mir_interpreter::SoftmaxImpl< T >::run(), mir_interpreter::AbsImpl< T >::run(), mir_interpreter::ReLUImpl< T >::run(), mir_interpreter::SigmoidImpl< T >::run(), mir_interpreter::SqrtImpl< T >::run(), mir_interpreter::TanhImpl< T >::run(), mir_interpreter::TransposeImpl< T >::run(), mir_interpreter::FullyConnectedImpl< T >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), mir_interpreter::GatherImpl< T, IndicesT >::run(), mir_interpreter::Conv2DImpl< T >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), mir_interpreter::DeConv2DImpl< T >::run(), mir_interpreter::AddImpl< T >::run(), mir_interpreter::AddImpl< uint8_t >::run(), mir_interpreter::DivImpl< T >::run(), mir_interpreter::EqualImpl< T >::run(), mir_interpreter::GreaterImpl< T >::run(), mir_interpreter::LessImpl< T >::run(), mir_interpreter::MaxImpl< T >::run(), mir_interpreter::MulImpl< T >::run(), mir_interpreter::SubImpl< T >::run(), mir_interpreter::FillImpl< T >::run(), TensorVariant(), TensorVariant(), TensorVariant(), TEST(), and nnc::AclCppOpGenerator::visit().

    @@ -636,7 +636,7 @@

    Definition at line 66 of file TensorVariant.h.

    66{ return _type; }
    -

    Referenced by mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::CappedReLUImpl< uint8_t >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), and mir_interpreter::AddImpl< uint8_t >::run().

    +

    Referenced by mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::CappedReLUImpl< uint8_t >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), and mir_interpreter::AddImpl< uint8_t >::run().

    diff --git a/classmir__interpreter_1_1_m_i_r_interpreter.html b/classmir__interpreter_1_1_m_i_r_interpreter.html index 962dd4152d4..dab10997dab 100644 --- a/classmir__interpreter_1_1_m_i_r_interpreter.html +++ b/classmir__interpreter_1_1_m_i_r_interpreter.html @@ -630,9 +630,9 @@

    const Conv2DOpAttributes & getAttributes() const
    Definition Conv2DOp.h:62
    -
    void Conv2D(const mir::TensorVariant &input, const mir::TensorVariant &kernel, const mir::Conv2DOpAttributes &attributes, mir::TensorVariant &result, const mir::TensorVariant *fused_bias)
    Definition Conv2D.cpp:254
    +
    void Conv2D(const mir::TensorVariant &input, const mir::TensorVariant &kernel, const mir::Conv2DOpAttributes &attributes, mir::TensorVariant &result, const mir::TensorVariant *fused_bias)
    Definition Conv2D.cpp:254
    -

    References mir_interpreter::Conv2D(), and mir::ops::Conv2DOp::getAttributes().

    +

    References mir_interpreter::Conv2D(), and mir::ops::Conv2DOp::getAttributes().

    @@ -817,9 +817,9 @@

    247 ELU(args[0], op.getAlpha(), results[0]);
    248}
    float getAlpha() const
    Definition EluOp.h:40
    -
    void ELU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition ELU.cpp:46
    +
    void ELU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition ELU.cpp:46
    -

    References mir_interpreter::ELU(), and mir::ops::EluOp::getAlpha().

    +

    References mir_interpreter::ELU(), and mir::ops::EluOp::getAlpha().

    @@ -1072,9 +1072,9 @@

    319 LeakyReLU(args[0], op.getAlpha(), results[0]);
    320}
    float getAlpha() const
    Definition LeakyReluOp.h:41
    -
    void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:44
    +
    void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:44
    -

    References mir::ops::LeakyReluOp::getAlpha(), and mir_interpreter::LeakyReLU().

    +

    References mir::ops::LeakyReluOp::getAlpha(), and mir_interpreter::LeakyReLU().

    diff --git a/classmoco_1_1_conv2_d_graph_builder.html b/classmoco_1_1_conv2_d_graph_builder.html index f7368368951..be47797b8e7 100644 --- a/classmoco_1_1_conv2_d_graph_builder.html +++ b/classmoco_1_1_conv2_d_graph_builder.html @@ -157,7 +157,7 @@

    moco::GraphBuilder.

    -

    Definition at line 98 of file Conv2D.cpp.

    +

    Definition at line 98 of file Conv2D.cpp.

    99{
    100 assert(context != nullptr);
    101
    @@ -244,7 +244,7 @@

    moco::GraphBuilder.

    -

    Definition at line 69 of file Conv2D.cpp.

    +

    Definition at line 69 of file Conv2D.cpp.

    70{
    71 if (node.input_size() != 2)
    72 return false;
    @@ -282,7 +282,7 @@

    Conv2D.h -
  • compiler/moco/import/src/Nodes/Conv2D.cpp
  • +
  • compiler/moco/import/src/Nodes/Conv2D.cpp
  • diff --git a/classmoco_1_1_graph_builder_context.html b/classmoco_1_1_graph_builder_context.html index f773d1ec7bb..dfd680c0672 100644 --- a/classmoco_1_1_graph_builder_context.html +++ b/classmoco_1_1_graph_builder_context.html @@ -258,7 +258,7 @@

    Definition at line 130 of file GraphBuilderContext.h.

    130{ return _g; }
    -

    Referenced by TopologicalSortHelper.TopologicalSortHelper::add_edge(), moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::ConcatV2GraphBuilder::build(), moco::ConstGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::PackGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::StridedSliceGraphBuilder::build(), moco::tf::COpCallGraphBuilder::build(), moco::AddGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), moco::FusedBatchNormGraphBuilder::build(), moco::MaximumGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::MulGraphBuilder::build(), moco::PadGraphBuilder::build(), moco::PlaceholderGraphBuilder::build(), moco::RealDivGraphBuilder::build(), moco::ReshapeGraphBuilder::build(), moco::RsqrtGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqrtGraphBuilder::build(), moco::SquaredDifferenceGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::StopGradientGraphBuilder::build(), moco::SubGraphBuilder::build(), moco::TanhGraphBuilder::build(), and TopologicalSortHelper.TopologicalSortHelper::sort_util().

    +

    Referenced by TopologicalSortHelper.TopologicalSortHelper::add_edge(), moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::ConcatV2GraphBuilder::build(), moco::ConstGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::PackGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::StridedSliceGraphBuilder::build(), moco::tf::COpCallGraphBuilder::build(), moco::AddGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), moco::FusedBatchNormGraphBuilder::build(), moco::MaximumGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::MulGraphBuilder::build(), moco::PadGraphBuilder::build(), moco::PlaceholderGraphBuilder::build(), moco::RealDivGraphBuilder::build(), moco::ReshapeGraphBuilder::build(), moco::RsqrtGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqrtGraphBuilder::build(), moco::SquaredDifferenceGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::StopGradientGraphBuilder::build(), moco::SubGraphBuilder::build(), moco::TanhGraphBuilder::build(), and TopologicalSortHelper.TopologicalSortHelper::sort_util().

    @@ -316,7 +316,7 @@

    Definition at line 132 of file GraphBuilderContext.h.

    132{ return _tensor_names; }
    -

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::ConcatV2GraphBuilder::build(), moco::ConstGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::PackGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::StridedSliceGraphBuilder::build(), moco::tf::COpCallGraphBuilder::build(), moco::AddGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), moco::FusedBatchNormGraphBuilder::build(), moco::MaximumGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::MulGraphBuilder::build(), moco::PadGraphBuilder::build(), moco::PlaceholderGraphBuilder::build(), moco::RealDivGraphBuilder::build(), moco::ReshapeGraphBuilder::build(), moco::RsqrtGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqrtGraphBuilder::build(), moco::SquaredDifferenceGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::StopGradientGraphBuilder::build(), moco::SubGraphBuilder::build(), and moco::TanhGraphBuilder::build().

    +

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::ConcatV2GraphBuilder::build(), moco::ConstGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::PackGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::StridedSliceGraphBuilder::build(), moco::tf::COpCallGraphBuilder::build(), moco::AddGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), moco::FusedBatchNormGraphBuilder::build(), moco::MaximumGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::MulGraphBuilder::build(), moco::PadGraphBuilder::build(), moco::PlaceholderGraphBuilder::build(), moco::RealDivGraphBuilder::build(), moco::ReshapeGraphBuilder::build(), moco::RsqrtGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqrtGraphBuilder::build(), moco::SquaredDifferenceGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::StopGradientGraphBuilder::build(), moco::SubGraphBuilder::build(), and moco::TanhGraphBuilder::build().

    @@ -346,7 +346,7 @@

    Definition at line 133 of file GraphBuilderContext.h.

    133{ return _updates; }
    -

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::ConcatV2GraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::PackGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::StridedSliceGraphBuilder::build(), moco::tf::COpCallGraphBuilder::build(), moco::AddGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), moco::FusedBatchNormGraphBuilder::build(), moco::MaximumGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::MulGraphBuilder::build(), moco::PadGraphBuilder::build(), moco::RealDivGraphBuilder::build(), moco::ReshapeGraphBuilder::build(), moco::RsqrtGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqrtGraphBuilder::build(), moco::SquaredDifferenceGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::StopGradientGraphBuilder::build(), moco::SubGraphBuilder::build(), and moco::TanhGraphBuilder::build().

    +

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::ConcatV2GraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::PackGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::StridedSliceGraphBuilder::build(), moco::tf::COpCallGraphBuilder::build(), moco::AddGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), moco::FusedBatchNormGraphBuilder::build(), moco::MaximumGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::MulGraphBuilder::build(), moco::PadGraphBuilder::build(), moco::RealDivGraphBuilder::build(), moco::ReshapeGraphBuilder::build(), moco::RsqrtGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqrtGraphBuilder::build(), moco::SquaredDifferenceGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::StopGradientGraphBuilder::build(), moco::SubGraphBuilder::build(), and moco::TanhGraphBuilder::build().

    diff --git a/classmoco_1_1_padding2_d_inference.html b/classmoco_1_1_padding2_d_inference.html index b582ce339f4..bc914ab275a 100644 --- a/classmoco_1_1_padding2_d_inference.html +++ b/classmoco_1_1_padding2_d_inference.html @@ -163,7 +163,7 @@

    183
    184 fill(p, in);
    185
    -
    186 auto output = infer(p, in);
    +
    186 auto output = infer(p, in);
    187
    188 int64_t i_height = (int64_t)(output.height.value() - 1) * (int64_t)p.stride.height.value() +
    189 (int64_t)p.effective_window.height.value() - (int64_t)p.input.height.value();
    @@ -189,9 +189,9 @@

    uint32_t right(void) const
    Definition Padding2D.h:53
    void fill(Parameters &p, const PlaneShape &in)
    -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    -

    References loco::Padding2D::bottom(), moco::PlaneInference::Parameters::effective_window, moco::PlaneInference::fill(), moco::PlaneShape::height, infer(), moco::PlaneInference::Parameters::input, loco::Padding2D::left(), loco::Padding2D::right(), moco::PlaneInference::Parameters::stride, loco::Padding2D::top(), loco::Dimension::value(), and moco::PlaneShape::width.

    +

    References loco::Padding2D::bottom(), moco::PlaneInference::Parameters::effective_window, moco::PlaneInference::fill(), moco::PlaneShape::height, infer(), moco::PlaneInference::Parameters::input, loco::Padding2D::left(), loco::Padding2D::right(), moco::PlaneInference::Parameters::stride, loco::Padding2D::top(), loco::Dimension::value(), and moco::PlaneShape::width.

    diff --git a/classmoco_1_1_plane_inference.html b/classmoco_1_1_plane_inference.html index 0d46ed097bb..5af9bae9266 100644 --- a/classmoco_1_1_plane_inference.html +++ b/classmoco_1_1_plane_inference.html @@ -281,12 +281,12 @@

    160
    161 fill(p, in);
    162
    -
    163 return infer(p, in);
    +
    163 return infer(p, in);
    164 }
    void fill(Parameters &p, const PlaneShape &in)
    -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    -

    References fill(), and infer().

    +

    References fill(), and infer().

    diff --git a/classmoco_1_1_relu6_graph_builder.html b/classmoco_1_1_relu6_graph_builder.html index c01002949fc..60614a9a2e2 100644 --- a/classmoco_1_1_relu6_graph_builder.html +++ b/classmoco_1_1_relu6_graph_builder.html @@ -161,7 +161,7 @@

    moco::GraphBuilder.

    -

    Definition at line 59 of file Relu6.cpp.

    +

    Definition at line 59 of file Relu6.cpp.

    60{
    61 assert(context != nullptr);
    62
    @@ -225,7 +225,7 @@

    moco::GraphBuilder.

    -

    Definition at line 51 of file Relu6.cpp.

    +

    Definition at line 51 of file Relu6.cpp.

    52{
    53 // ReLU6 node SHOULD have only one input
    54 if (node.input_size() != 1)
    @@ -237,7 +237,7 @@

    Relu6.h -
  • compiler/moco/import/src/Nodes/Relu6.cpp
  • +
  • compiler/moco/import/src/Nodes/Relu6.cpp
  • diff --git a/classmoco_1_1_symbol_table.html b/classmoco_1_1_symbol_table.html index b7d609187c1..504688222de 100644 --- a/classmoco_1_1_symbol_table.html +++ b/classmoco_1_1_symbol_table.html @@ -159,7 +159,7 @@

    References node().

    -

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::ConcatV2GraphBuilder::build(), moco::ConstGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::PackGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::StridedSliceGraphBuilder::build(), moco::tf::COpCallGraphBuilder::build(), moco::AddGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), moco::FusedBatchNormGraphBuilder::build(), moco::MaximumGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::MulGraphBuilder::build(), moco::PadGraphBuilder::build(), moco::PlaceholderGraphBuilder::build(), moco::RealDivGraphBuilder::build(), moco::ReshapeGraphBuilder::build(), moco::RsqrtGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqrtGraphBuilder::build(), moco::SquaredDifferenceGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::StopGradientGraphBuilder::build(), moco::SubGraphBuilder::build(), and moco::TanhGraphBuilder::build().

    +

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::ConcatV2GraphBuilder::build(), moco::ConstGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::PackGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::StridedSliceGraphBuilder::build(), moco::tf::COpCallGraphBuilder::build(), moco::AddGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), moco::FusedBatchNormGraphBuilder::build(), moco::MaximumGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::MulGraphBuilder::build(), moco::PadGraphBuilder::build(), moco::PlaceholderGraphBuilder::build(), moco::RealDivGraphBuilder::build(), moco::ReshapeGraphBuilder::build(), moco::RsqrtGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqrtGraphBuilder::build(), moco::SquaredDifferenceGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::StopGradientGraphBuilder::build(), moco::SubGraphBuilder::build(), and moco::TanhGraphBuilder::build().

    diff --git a/classmoco_1_1_update_queue.html b/classmoco_1_1_update_queue.html index 723720eba92..e9244a6159a 100644 --- a/classmoco_1_1_update_queue.html +++ b/classmoco_1_1_update_queue.html @@ -162,7 +162,7 @@

    References moco::update().

    -

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::StridedSliceGraphBuilder::build(), moco::tf::COpCallGraphBuilder::build(), moco::AddGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), moco::FusedBatchNormGraphBuilder::build(), moco::MaximumGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::MulGraphBuilder::build(), moco::PadGraphBuilder::build(), moco::RealDivGraphBuilder::build(), moco::ReshapeGraphBuilder::build(), moco::RsqrtGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqrtGraphBuilder::build(), moco::SquaredDifferenceGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::StopGradientGraphBuilder::build(), moco::SubGraphBuilder::build(), and moco::TanhGraphBuilder::build().

    +

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::StridedSliceGraphBuilder::build(), moco::tf::COpCallGraphBuilder::build(), moco::AddGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), moco::FusedBatchNormGraphBuilder::build(), moco::MaximumGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::MulGraphBuilder::build(), moco::PadGraphBuilder::build(), moco::RealDivGraphBuilder::build(), moco::ReshapeGraphBuilder::build(), moco::RsqrtGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqrtGraphBuilder::build(), moco::SquaredDifferenceGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::StopGradientGraphBuilder::build(), moco::SubGraphBuilder::build(), and moco::TanhGraphBuilder::build().

    diff --git a/classnest_1_1_domain_context.html b/classnest_1_1_domain_context.html index e2a9653f131..eea81612663 100644 --- a/classnest_1_1_domain_context.html +++ b/classnest_1_1_domain_context.html @@ -187,7 +187,7 @@

    References count().

    -

    Referenced by main().

    +

    Referenced by main().

    diff --git a/classnest_1_1_module.html b/classnest_1_1_module.html index 1ede4381796..14621921707 100644 --- a/classnest_1_1_module.html +++ b/classnest_1_1_module.html @@ -206,7 +206,7 @@

    Definition at line 44 of file Module.h.

    44{ return _domain_ctx; }
    -

    Referenced by nest::Schedule::domain(), and main().

    +

    Referenced by nest::Schedule::domain(), and main().

    diff --git a/classnnc_1_1cli_1_1_command_line.html b/classnnc_1_1cli_1_1_command_line.html index da03451f898..713afa88994 100644 --- a/classnnc_1_1cli_1_1_command_line.html +++ b/classnnc_1_1cli_1_1_command_line.html @@ -186,7 +186,7 @@

    112} // getParser
    CommandLine(const CommandLine &)=delete
    -

    Referenced by main(), main(), nnc::cli::Option< T >::Option(), and TEST().

    +

    Referenced by main(), main(), nnc::cli::Option< T >::Option(), and TEST().

    @@ -354,7 +354,7 @@

    References nnc::cli::IOption::canHaveSeveralVals(), nnc::cli::BadOption::getName(), nnc::cli::IOption::getNames(), nnc::cli::BadOption::getValue(), nnc::cli::optname(), and nnc::cli::IOption::setValue().

    -

    Referenced by main(), main(), and TEST().

    +

    Referenced by main(), main(), and TEST().

    diff --git a/classnncc_1_1core_1_1_a_d_t_1_1tensor_1_1_shape.html b/classnncc_1_1core_1_1_a_d_t_1_1tensor_1_1_shape.html index 2597e98dbdd..90150574df5 100644 --- a/classnncc_1_1core_1_1_a_d_t_1_1tensor_1_1_shape.html +++ b/classnncc_1_1core_1_1_a_d_t_1_1tensor_1_1_shape.html @@ -188,7 +188,7 @@

    Definition at line 42 of file Shape.cpp.

    42{ return _dims.at(axis); }
    -

    Referenced by nncc::core::ADT::tensor::IndexEnumerator::advance(), morph::as_dims(), morph::caffe::as_feature_shape(), morph::nnapi::as_feature_shape(), morph::tflite::as_feature_shape(), morph::caffe::as_kernel_shape(), morph::nnapi::as_kernel_shape(), morph::tflite::as_kernel_shape(), caffeimport::as_tensor_shape(), tflimport::as_tensor_shape(), morph::caffe::as_tensor_shape(), morph::nnapi::as_tensor_shape(), morph::tflite::as_tensor_shape(), morph::caffe::as_tensor_shape(), morph::nnapi::as_tensor_shape(), morph::tflite::as_tensor_shape(), nnkit::support::tf::Backend::Backend(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::conv2D_padding(), plier::tf::copy_shape(), tflimport::depthwiseConv2D_padding(), tflimport::get_padding(), nnkit::support::tf::Runner::getTensorShapeFromGraphDef(), ConvolutionSpec::ifm_dim(), nncc::core::ADT::tensor::IndexEnumerator::IndexEnumerator(), ConvolutionSpec::ker_shape(), nncc::core::ADT::tensor::num_elements(), ConvolutionSpec::ofm_shape(), PoolingSpec::ofm_shape(), nncc::core::ADT::tensor::operator==(), nnkit::support::tftestinfo::ParsedTensor::ParsedTensor(), nnkit::support::onnx::TensorContext::shape(), and nnkit::support::tflite::tensor_shape().

    +

    Referenced by nncc::core::ADT::tensor::IndexEnumerator::advance(), morph::as_dims(), morph::caffe::as_feature_shape(), morph::nnapi::as_feature_shape(), morph::tflite::as_feature_shape(), morph::caffe::as_kernel_shape(), morph::nnapi::as_kernel_shape(), morph::tflite::as_kernel_shape(), caffeimport::as_tensor_shape(), tflimport::as_tensor_shape(), morph::caffe::as_tensor_shape(), morph::nnapi::as_tensor_shape(), morph::tflite::as_tensor_shape(), morph::caffe::as_tensor_shape(), morph::nnapi::as_tensor_shape(), morph::tflite::as_tensor_shape(), nnkit::support::tf::Backend::Backend(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::conv2D_padding(), plier::tf::copy_shape(), tflimport::depthwiseConv2D_padding(), tflimport::get_padding(), nnkit::support::tf::Runner::getTensorShapeFromGraphDef(), ConvolutionSpec::ifm_dim(), nncc::core::ADT::tensor::IndexEnumerator::IndexEnumerator(), ConvolutionSpec::ker_shape(), nncc::core::ADT::tensor::num_elements(), ConvolutionSpec::ofm_shape(), PoolingSpec::ofm_shape(), nncc::core::ADT::tensor::operator==(), nnkit::support::tftestinfo::ParsedTensor::ParsedTensor(), nnkit::support::onnx::TensorContext::shape(), and nnkit::support::tflite::tensor_shape().

    @@ -232,7 +232,7 @@

    Definition at line 35 of file Shape.cpp.

    35{ return _dims.size(); }
    -

    Referenced by nncc::core::ADT::tensor::IndexEnumerator::advance(), morph::as_dims(), morph::caffe::as_feature_shape(), morph::nnapi::as_feature_shape(), morph::tflite::as_feature_shape(), morph::caffe::as_kernel_shape(), morph::nnapi::as_kernel_shape(), morph::tflite::as_kernel_shape(), ShapeQuery::axis(), axis_of(), nnkit::support::tf::Backend::Backend(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::get_padding(), ConvolutionSpec::ifm_rank(), nncc::core::ADT::tensor::IndexEnumerator::IndexEnumerator(), nncc::core::ADT::tensor::num_elements(), PoolingSpec::ofm_shape(), nncc::core::ADT::tensor::operator==(), HD5ExportAction::run(), and nncc::core::ADT::tensor::IndexEnumerator::valid().

    +

    Referenced by nncc::core::ADT::tensor::IndexEnumerator::advance(), morph::as_dims(), morph::caffe::as_feature_shape(), morph::nnapi::as_feature_shape(), morph::tflite::as_feature_shape(), morph::caffe::as_kernel_shape(), morph::nnapi::as_kernel_shape(), morph::tflite::as_kernel_shape(), ShapeQuery::axis(), axis_of(), nnkit::support::tf::Backend::Backend(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::get_padding(), ConvolutionSpec::ifm_rank(), nncc::core::ADT::tensor::IndexEnumerator::IndexEnumerator(), nncc::core::ADT::tensor::num_elements(), PoolingSpec::ofm_shape(), nncc::core::ADT::tensor::operator==(), HD5ExportAction::run(), and nncc::core::ADT::tensor::IndexEnumerator::valid().

    diff --git a/classonert_1_1exec_1_1_execution.html b/classonert_1_1exec_1_1_execution.html index 99c142f0176..acee233f01e 100644 --- a/classonert_1_1exec_1_1_execution.html +++ b/classonert_1_1exec_1_1_execution.html @@ -188,7 +188,7 @@

    Definition at line 28 of file Execution.cc.

    +

    Definition at line 28 of file Execution.cc.

    28 : _executors{executors}
    29{
    30 assert(executors != nullptr);
    @@ -239,7 +239,7 @@

    Definition at line 36 of file Execution.cc.

    +

    Definition at line 36 of file Execution.cc.

    37{
    38 // This will be used later to set input tensor dynamic
    39 // Note that 'compiled' model will not be updated with new_shape
    @@ -275,7 +275,7 @@

    Note
    It should be called after setting input and output buffer
    -

    Definition at line 129 of file Execution.cc.

    +

    Definition at line 129 of file Execution.cc.

    130{
    131 VERBOSE(Execution) << "Start execution" << std::endl;
    132
    @@ -287,7 +287,7 @@

    References VERBOSE.

    -

    Referenced by startExecute().

    +

    Referenced by startExecute().

    @@ -307,7 +307,7 @@

    -

    Definition at line 191 of file Execution.cc.

    +

    Definition at line 191 of file Execution.cc.

    192{
    193 auto itr = _io_desc.dynamic_input_shapes.find(ind);
    194 if (itr == _io_desc.dynamic_input_shapes.end())
    @@ -340,7 +340,7 @@

    -

    Definition at line 220 of file Execution.cc.

    +

    Definition at line 220 of file Execution.cc.

    221{
    222 // TODO Support dynamic shape
    223 return _executors->inputInfo(ind).total_size();
    @@ -374,7 +374,7 @@

    Returns
    float Loss value
    -

    Definition at line 168 of file Execution.cc.

    +

    Definition at line 168 of file Execution.cc.

    169{
    170 auto execs = dynamic_cast<exec::train::TrainableExecutors *>(_executors.get());
    171 if (!execs)
    @@ -405,7 +405,7 @@

    -

    Definition at line 210 of file Execution.cc.

    +

    Definition at line 210 of file Execution.cc.

    211{
    212 if (!isFinished())
    213 return _executors->outputInfo(ind).shape();
    @@ -414,9 +414,9 @@

    216

    217 return output_desc->info.shape();
    218}
    -
    bool isFinished(void) const
    Check execution is finished.
    Definition Execution.cc:154
    +
    bool isFinished(void) const
    Check execution is finished.
    Definition Execution.cc:154

    -

    References isFinished(), onert::exec::IODescription::outputs, and onert::util::Index< T, DummyTag >::value().

    +

    References isFinished(), onert::exec::IODescription::outputs, and onert::util::Index< T, DummyTag >::value().

    @@ -436,7 +436,7 @@

    -

    Definition at line 226 of file Execution.cc.

    +

    Definition at line 226 of file Execution.cc.

    227{
    228 return _executors->outputInfo(ind).total_size();
    229}
    @@ -462,10 +462,10 @@

    Returns
    true if execution is finished, otherwise false
    -

    Definition at line 154 of file Execution.cc.

    +

    Definition at line 154 of file Execution.cc.

    154{ return finished; }
    -

    Referenced by getOutputShape().

    +

    Referenced by getOutputShape().

    @@ -494,7 +494,7 @@

    Definition at line 179 of file Execution.cc.

    +

    Definition at line 179 of file Execution.cc.

    182{
    183 auto execs = dynamic_cast<exec::train::TrainableExecutors *>(_executors.get());
    184 if (!execs)
    @@ -605,7 +605,7 @@

    Definition at line 75 of file Execution.cc.

    +

    Definition at line 75 of file Execution.cc.

    77{
    78 auto info = ir::OperandInfo::createStaticInfo(shape, type);
    79
    @@ -672,7 +672,7 @@

    Definition at line 48 of file Execution.cc.

    +

    Definition at line 48 of file Execution.cc.

    50{
    51 const auto &info = _executors->inputInfo(index);
    52
    @@ -737,7 +737,7 @@

    Definition at line 115 of file Execution.cc.

    +

    Definition at line 115 of file Execution.cc.

    116{
    117 const auto &input_desc = _io_desc.inputs.at(index.value());
    118 _io_desc.inputs.at(index.value()) =
    @@ -811,7 +811,7 @@

    Definition at line 102 of file Execution.cc.

    +

    Definition at line 102 of file Execution.cc.

    104{
    105 const auto &info = ir::OperandInfo::createStaticInfo(shape, type);
    106
    @@ -876,7 +876,7 @@

    Definition at line 89 of file Execution.cc.

    +

    Definition at line 89 of file Execution.cc.

    90{
    91 const auto &info = _executors->outputInfo(index);
    92
    @@ -927,7 +927,7 @@

    Definition at line 122 of file Execution.cc.

    +

    Definition at line 122 of file Execution.cc.

    123{
    124 const auto &output_desc = _io_desc.outputs.at(index.value());
    125 _io_desc.outputs.at(index.value()) =
    @@ -957,15 +957,15 @@

    Note
    It returns after execution thread is started It should be called after setting input and output buffer
    -

    Definition at line 139 of file Execution.cc.

    +

    Definition at line 139 of file Execution.cc.

    140{
    141 VERBOSE(Execution) << "Create asynchronous execution thread" << std::endl;
    142
    143 _exec_thread = std::make_unique<std::thread>(&Execution::execute, this);
    144}
    -
    void execute()
    Execution.
    Definition Execution.cc:129
    +
    void execute()
    Execution.
    Definition Execution.cc:129
    -

    References execute(), and VERBOSE.

    +

    References execute(), and VERBOSE.

    @@ -994,7 +994,7 @@

    Definition at line 156 of file Execution.cc.

    +

    Definition at line 156 of file Execution.cc.

    157{
    158 auto execs = dynamic_cast<exec::train::TrainableExecutors *>(_executors.get());
    159 if (!execs)
    @@ -1029,7 +1029,7 @@

    Note
    It waits until execution is finished
    -

    Definition at line 146 of file Execution.cc.

    +

    Definition at line 146 of file Execution.cc.

    147{
    148 VERBOSE(Execution) << "Wait to finish execution" << std::endl;
    149
    @@ -1043,7 +1043,7 @@

    Execution.h -
  • runtime/onert/core/src/exec/Execution.cc
  • +
  • runtime/onert/core/src/exec/Execution.cc
  • diff --git a/classonert_1_1exec_1_1train_1_1_trainable_executors.html b/classonert_1_1exec_1_1train_1_1_trainable_executors.html index d5c6357ec26..c4012437ed9 100644 --- a/classonert_1_1exec_1_1train_1_1_trainable_executors.html +++ b/classonert_1_1exec_1_1train_1_1_trainable_executors.html @@ -502,7 +502,7 @@

    References entryExecutor(), and onert::exec::train::TrainableExecutor::getLoss().

    -

    Referenced by onert::exec::Execution::getLoss().

    +

    Referenced by onert::exec::Execution::getLoss().

    @@ -611,7 +611,7 @@

    References entryExecutor(), and onert::exec::train::TrainableExecutor::iterateTrainableTensors().

    -

    Referenced by onert::exec::Execution::iterateTrainableTensors().

    +

    Referenced by onert::exec::Execution::iterateTrainableTensors().

    @@ -797,7 +797,7 @@

    References onert::exec::train::TrainableExecutor::backward(), entryExecutor(), and onert::exec::train::TrainableExecutor::forward().

    -

    Referenced by onert::exec::Execution::train().

    +

    Referenced by onert::exec::Execution::train().

    diff --git a/classonert_1_1ir_1_1_operand_info.html b/classonert_1_1ir_1_1_operand_info.html index 9b2a26f7c8f..3d04285cd67 100644 --- a/classonert_1_1ir_1_1_operand_info.html +++ b/classonert_1_1ir_1_1_operand_info.html @@ -350,7 +350,7 @@

    References OperandInfo(), shape(), onert::ir::STATIC, and typeInfo().

    -

    Referenced by onert::backend::acl_common::AclTensorBuilder< T_ITensor, T_Tensor, T_SubTensor >::registerTensorInfo(), onert::exec::Execution::setInput(), and onert::exec::Execution::setOutput().

    +

    Referenced by onert::backend::acl_common::AclTensorBuilder< T_ITensor, T_Tensor, T_SubTensor >::registerTensorInfo(), onert::exec::Execution::setInput(), and onert::exec::Execution::setOutput().

    diff --git a/classonert_1_1util_1_1_index.html b/classonert_1_1util_1_1_index.html index 3a4a6a8c871..c74f05f5118 100644 --- a/classonert_1_1util_1_1_index.html +++ b/classonert_1_1util_1_1_index.html @@ -718,7 +718,7 @@

    Definition at line 139 of file Index.h.

    139{ return _index; }
    -

    Referenced by onert::ir::OperandIndexSequence::at(), onert::compiler::Compiler::compile(), onert::compiler::MultiModelCompiler::compile(), onert::exec::MultiModelExecutors::execute(), onert::exec::Execution::getOutputShape(), onert::exec::TracingObserver::handleJobBegin(), onert::exec::TracingObserver::handleJobEnd(), onert::exec::TracingObserver::handleSubgraphBegin(), onert::exec::TracingObserver::handleSubgraphEnd(), onert::exec::MultiModelExecutors::inputInfo(), onert::util::Index< T, DummyTag >::operator<(), onert::exec::MultiModelExecutors::outputInfo(), onert::backend::basic::FirstFitPlanner::release(), nnfw_session::train_export_circle(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), and onert::ir::OperationDumper::visit().

    +

    Referenced by onert::ir::OperandIndexSequence::at(), onert::compiler::Compiler::compile(), onert::compiler::MultiModelCompiler::compile(), onert::exec::MultiModelExecutors::execute(), onert::exec::Execution::getOutputShape(), onert::exec::TracingObserver::handleJobBegin(), onert::exec::TracingObserver::handleJobEnd(), onert::exec::TracingObserver::handleSubgraphBegin(), onert::exec::TracingObserver::handleSubgraphEnd(), onert::exec::MultiModelExecutors::inputInfo(), onert::util::Index< T, DummyTag >::operator<(), onert::exec::MultiModelExecutors::outputInfo(), onert::backend::basic::FirstFitPlanner::release(), nnfw_session::train_export_circle(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), onert::ir::OperationDumper::visit(), and onert::ir::OperationDumper::visit().

    diff --git a/classonert__micro_1_1test__model_1_1_neg_test_data_base.html b/classonert__micro_1_1test__model_1_1_neg_test_data_base.html index e6c44c1efa4..2682a04b336 100644 --- a/classonert__micro_1_1test__model_1_1_neg_test_data_base.html +++ b/classonert__micro_1_1test__model_1_1_neg_test_data_base.html @@ -157,7 +157,7 @@

    -

    Implemented in onert_micro::test_model::NegTestDataNoQuantParamsSubKernel, onert_micro::test_model::NegTestDataInputOutputTypeMismatchAbsKernel, onert_micro::test_model::NegTestDataInputOutputShapeMismatchAbsKernel, onert_micro::test_model::NegTestDataInputMismatchAddKernel, onert_micro::test_model::NegTestDataNoQuantParamsS16AddKernel, onert_micro::test_model::TestDataInputTypeMismatchConcatenation, onert_micro::test_model::TestDataReluConcatenation, onert_micro::test_model::TestDataWrongAxisConcatenation, onert_micro::test_model::NegTestDataInputMismatchConv2DKernel, onert_micro::test_model::NegTestDataInvalidInputShapeConv2DKernel, onert_micro::test_model::NegTestDataWrongWeightShapeFullyConnectedKernel, onert_micro::test_model::NegTestDataWrongBiasShapeFullyConnectedKernel, onert_micro::test_model::NegTestDataInputOutputTypeMismatchGatherKernel, onert_micro::test_model::NegTestDataWrongPositionTypeGatherKernel, onert_micro::test_model::NegTestDataWrongAxisGatherKernel, onert_micro::test_model::NegTestDataInputOutputTypeMismatchLogisticKernel, onert_micro::test_model::NegTestDataNoQuantParamsLogisticKernel, onert_micro::test_model::NegTestDataInputOutputTypeMismatchMaxPool2DKernel, onert_micro::test_model::NegTestDataInvalidInputShapeMaxPool2DKernel, onert_micro::test_model::NegTestDataNoQuantParamsMaxPool2DKernel, onert_micro::test_model::NegTestDataInput1WrongTypeMul, onert_micro::test_model::NegTestDataInput2WrongTypeMul, onert_micro::test_model::NegTestDataInt16TypeMul, onert_micro::test_model::NegTestDataWrongOutputTypeShapeKernel, onert_micro::test_model::NegTestDataInputsTypeMismatchSubKernel, and onert_micro::test_model::NegTestDataInputOutputTypeMismatchSubKernel.

    +

    Implemented in onert_micro::test_model::NegTestDataNoQuantParamsSubKernel, onert_micro::test_model::NegTestDataInputOutputTypeMismatchAbsKernel, onert_micro::test_model::NegTestDataInputOutputShapeMismatchAbsKernel, onert_micro::test_model::NegTestDataInputMismatchAddKernel, onert_micro::test_model::NegTestDataNoQuantParamsS16AddKernel, onert_micro::test_model::TestDataInputTypeMismatchConcatenation, onert_micro::test_model::TestDataReluConcatenation, onert_micro::test_model::TestDataWrongAxisConcatenation, onert_micro::test_model::NegTestDataInputMismatchConv2DKernel, onert_micro::test_model::NegTestDataInvalidInputShapeConv2DKernel, onert_micro::test_model::NegTestDataWrongWeightShapeFullyConnectedKernel, onert_micro::test_model::NegTestDataWrongBiasShapeFullyConnectedKernel, onert_micro::test_model::NegTestDataInputOutputTypeMismatchGatherKernel, onert_micro::test_model::NegTestDataWrongPositionTypeGatherKernel, onert_micro::test_model::NegTestDataWrongAxisGatherKernel, onert_micro::test_model::NegTestDataInputOutputTypeMismatchLogisticKernel, onert_micro::test_model::NegTestDataNoQuantParamsLogisticKernel, onert_micro::test_model::NegTestDataInputOutputTypeMismatchMaxPool2DKernel, onert_micro::test_model::NegTestDataInvalidInputShapeMaxPool2DKernel, onert_micro::test_model::NegTestDataNoQuantParamsMaxPool2DKernel, onert_micro::test_model::NegTestDataInput1WrongTypeMul, onert_micro::test_model::NegTestDataInput2WrongTypeMul, onert_micro::test_model::NegTestDataInt16TypeMul, onert_micro::test_model::NegTestDataWrongOutputTypeShapeKernel, onert_micro::test_model::NegTestDataInputOutputTypeMismatchSoftmaxKernel, onert_micro::test_model::NegTestDataNoQuantParamsSoftmaxKernel, onert_micro::test_model::NegTestDataInputsTypeMismatchSubKernel, and onert_micro::test_model::NegTestDataInputOutputTypeMismatchSubKernel.

    Referenced by onert_micro::execute::testing::checkNEGSISOKernel().

    diff --git a/classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.html b/classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.html new file mode 100644 index 00000000000..c31d1da3c10 --- /dev/null +++ b/classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.html @@ -0,0 +1,264 @@ + + + + + + + +ONE - On-device Neural Engine: onert_micro::test_model::NegTestDataInputOutputTypeMismatchSoftmaxKernel Class Reference + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
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    + + +
    +
    +
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    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    + +
    onert_micro::test_model::NegTestDataInputOutputTypeMismatchSoftmaxKernel Class Reference
    +
    +
    + +

    #include <NegSoftmaxKernel.h>

    +
    +Collaboration diagram for onert_micro::test_model::NegTestDataInputOutputTypeMismatchSoftmaxKernel:
    +
    +
    Collaboration graph
    + + + + + +
    [legend]
    + + + + + + + + + + + +

    +Public Member Functions

     NegTestDataInputOutputTypeMismatchSoftmaxKernel ()
     
     ~NegTestDataInputOutputTypeMismatchSoftmaxKernel () override=default
     
    const unsigned char * get_model_ptr () override final
     
    - Public Member Functions inherited from onert_micro::test_model::NegTestDataBase
    virtual ~NegTestDataBase ()=default
     
    + + + +

    +Protected Attributes

    const unsigned char * _test_kernel_model_circle
     
    +

    Detailed Description

    +
    +

    Definition at line 108 of file NegSoftmaxKernel.h.

    +

    Constructor & Destructor Documentation

    + +

    ◆ NegTestDataInputOutputTypeMismatchSoftmaxKernel()

    + +
    +
    + + + + + +
    + + + + + + + +
    onert_micro::test_model::NegTestDataInputOutputTypeMismatchSoftmaxKernel::NegTestDataInputOutputTypeMismatchSoftmaxKernel ()
    +
    +inline
    +
    +
    + +

    ◆ ~NegTestDataInputOutputTypeMismatchSoftmaxKernel()

    + +
    +
    + + + + + +
    + + + + + + + +
    onert_micro::test_model::NegTestDataInputOutputTypeMismatchSoftmaxKernel::~NegTestDataInputOutputTypeMismatchSoftmaxKernel ()
    +
    +overridedefault
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ get_model_ptr()

    + +
    +
    + + + + + +
    + + + + + + + +
    const unsigned char * onert_micro::test_model::NegTestDataInputOutputTypeMismatchSoftmaxKernel::get_model_ptr ()
    +
    +inlinefinaloverridevirtual
    +
    + +

    Implements onert_micro::test_model::NegTestDataBase.

    + +

    Definition at line 118 of file NegSoftmaxKernel.h.

    +
    +
    +

    References _test_kernel_model_circle.

    + +
    +
    +

    Field Documentation

    + +

    ◆ _test_kernel_model_circle

    + +
    +
    + + + + + +
    + + + + +
    const unsigned char* onert_micro::test_model::NegTestDataInputOutputTypeMismatchSoftmaxKernel::_test_kernel_model_circle
    +
    +protected
    +
    + +

    Definition at line 121 of file NegSoftmaxKernel.h.

    + +

    Referenced by get_model_ptr(), and NegTestDataInputOutputTypeMismatchSoftmaxKernel().

    + +
    +
    +
    The documentation for this class was generated from the following file: +
    +
    + + + + diff --git a/classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.js b/classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.js new file mode 100644 index 00000000000..d6d2a635289 --- /dev/null +++ b/classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.js @@ -0,0 +1,7 @@ +var classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel = +[ + [ "NegTestDataInputOutputTypeMismatchSoftmaxKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.html#ae0a3de030c7964953467be3b32c3e9e7", null ], + [ "~NegTestDataInputOutputTypeMismatchSoftmaxKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.html#aa9e0455723363fa3bbbc8c9d8f1d96c6", null ], + [ "get_model_ptr", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.html#a8f70e1b3d668da5bca4cd70956439cb6", null ], + [ "_test_kernel_model_circle", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.html#ae0e0daa34f4a790c00906db63389860e", null ] +]; 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    +
    ONE - On-device Neural Engine +
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    onert_micro::test_model::NegTestDataNoQuantParamsSoftmaxKernel Class Reference
    +
    +
    + +

    #include <NegSoftmaxKernel.h>

    +
    +Collaboration diagram for onert_micro::test_model::NegTestDataNoQuantParamsSoftmaxKernel:
    +
    +
    Collaboration graph
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    [legend]
    + + + + + + + + + + + +

    +Public Member Functions

     NegTestDataNoQuantParamsSoftmaxKernel ()
     
     ~NegTestDataNoQuantParamsSoftmaxKernel () override=default
     
    const unsigned char * get_model_ptr () override final
     
    - Public Member Functions inherited from onert_micro::test_model::NegTestDataBase
    virtual ~NegTestDataBase ()=default
     
    + + + +

    +Protected Attributes

    const unsigned char * _test_kernel_model_circle
     
    +

    Detailed Description

    +
    +

    Definition at line 124 of file NegSoftmaxKernel.h.

    +

    Constructor & Destructor Documentation

    + +

    ◆ NegTestDataNoQuantParamsSoftmaxKernel()

    + +
    +
    + + + + + +
    + + + + + + + +
    onert_micro::test_model::NegTestDataNoQuantParamsSoftmaxKernel::NegTestDataNoQuantParamsSoftmaxKernel ()
    +
    +inline
    +
    +
    + +

    ◆ ~NegTestDataNoQuantParamsSoftmaxKernel()

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    + + + + + + + +
    onert_micro::test_model::NegTestDataNoQuantParamsSoftmaxKernel::~NegTestDataNoQuantParamsSoftmaxKernel ()
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    +overridedefault
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    + +
    +
    +

    Member Function Documentation

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    ◆ get_model_ptr()

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    const unsigned char * onert_micro::test_model::NegTestDataNoQuantParamsSoftmaxKernel::get_model_ptr ()
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    +inlinefinaloverridevirtual
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    + +

    Implements onert_micro::test_model::NegTestDataBase.

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    Definition at line 134 of file NegSoftmaxKernel.h.

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    References _test_kernel_model_circle.

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    Field Documentation

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    ◆ _test_kernel_model_circle

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    const unsigned char* onert_micro::test_model::NegTestDataNoQuantParamsSoftmaxKernel::_test_kernel_model_circle
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    +protected
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    + +

    Definition at line 137 of file NegSoftmaxKernel.h.

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    Referenced by get_model_ptr(), and NegTestDataNoQuantParamsSoftmaxKernel().

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    +
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    The documentation for this class was generated from the following file: +
    +
    + + + + diff --git a/classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel.js b/classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel.js new file mode 100644 index 00000000000..72221680940 --- /dev/null +++ b/classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel.js @@ -0,0 +1,7 @@ +var classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel = +[ + [ "NegTestDataNoQuantParamsSoftmaxKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel.html#ac19320a688a9a7bc330c3916b2e37907", null ], + [ "~NegTestDataNoQuantParamsSoftmaxKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel.html#a3015964f3ea66d7f67b4790c905eb569", null ], + [ "get_model_ptr", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel.html#ab70d709dd3a957f2b9dc6fd382d89f57", null ], + [ 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    Implemented in onert_micro::test_model::TestDataAbsBase< T >, onert_micro::test_model::TestDataAddBase< T >, onert_micro::test_model::TestDataConcatenationBase< T >, onert_micro::test_model::TestDataConv2DBase< T >, onert_micro::test_model::TestDataFullyConnectedBase< T >, onert_micro::test_model::TestDataFullyConnectedBase< int8_t >, onert_micro::test_model::TestDataGatherBase< T >, onert_micro::test_model::TestDataLogisticBase< T >, onert_micro::test_model::TestDataMaxPool2DBase< T >, onert_micro::test_model::TestDataMulBase< T >, onert_micro::test_model::TestDataPackBase< T >, onert_micro::test_model::TestDataReshapeKernel< T >, onert_micro::test_model::TestDataShapeKernel< T, U >, onert_micro::test_model::TestDataStridedSliceKernel< T >, and onert_micro::test_model::TestDataSubBase< T >.

    +

    Implemented in onert_micro::test_model::TestDataAbsBase< T >, onert_micro::test_model::TestDataAddBase< T >, onert_micro::test_model::TestDataConcatenationBase< T >, onert_micro::test_model::TestDataConv2DBase< T >, onert_micro::test_model::TestDataFullyConnectedBase< T >, onert_micro::test_model::TestDataFullyConnectedBase< int8_t >, onert_micro::test_model::TestDataGatherBase< T >, onert_micro::test_model::TestDataLogisticBase< T >, onert_micro::test_model::TestDataMaxPool2DBase< T >, onert_micro::test_model::TestDataMulBase< T >, onert_micro::test_model::TestDataPackBase< T >, onert_micro::test_model::TestDataReshapeKernel< T >, onert_micro::test_model::TestDataShapeKernel< T, U >, onert_micro::test_model::TestDataSoftmaxBase< T >, onert_micro::test_model::TestDataSoftmaxBase< float >, onert_micro::test_model::TestDataStridedSliceKernel< T >, and onert_micro::test_model::TestDataSubBase< T >.

    Referenced by onert_micro::execute::testing::checkKernel().

    @@ -198,7 +198,7 @@

    -

    Implemented in onert_micro::test_model::TestDataAbsBase< T >, onert_micro::test_model::TestDataAddBase< T >, onert_micro::test_model::TestDataConcatenationBase< T >, onert_micro::test_model::TestDataConv2DBase< T >, onert_micro::test_model::TestDataFullyConnectedBase< T >, onert_micro::test_model::TestDataFullyConnectedBase< int8_t >, onert_micro::test_model::TestDataGatherBase< T >, onert_micro::test_model::TestDataLogisticBase< T >, onert_micro::test_model::TestDataMaxPool2DBase< T >, onert_micro::test_model::TestDataMulBase< T >, onert_micro::test_model::TestDataPackBase< T >, onert_micro::test_model::TestDataReshapeKernel< T >, onert_micro::test_model::TestDataShapeKernel< T, U >, onert_micro::test_model::TestDataStridedSliceKernel< T >, and onert_micro::test_model::TestDataSubBase< T >.

    +

    Implemented in onert_micro::test_model::TestDataAbsBase< T >, onert_micro::test_model::TestDataAddBase< T >, onert_micro::test_model::TestDataConcatenationBase< T >, onert_micro::test_model::TestDataConv2DBase< T >, onert_micro::test_model::TestDataFullyConnectedBase< T >, onert_micro::test_model::TestDataFullyConnectedBase< int8_t >, onert_micro::test_model::TestDataGatherBase< T >, onert_micro::test_model::TestDataLogisticBase< T >, onert_micro::test_model::TestDataMaxPool2DBase< T >, onert_micro::test_model::TestDataMulBase< T >, onert_micro::test_model::TestDataPackBase< T >, onert_micro::test_model::TestDataReshapeKernel< T >, onert_micro::test_model::TestDataShapeKernel< T, U >, onert_micro::test_model::TestDataSoftmaxBase< T >, onert_micro::test_model::TestDataSoftmaxBase< float >, onert_micro::test_model::TestDataStridedSliceKernel< T >, and onert_micro::test_model::TestDataSubBase< T >.

    Referenced by onert_micro::execute::testing::checkKernel().

    @@ -230,7 +230,7 @@

    -

    Implemented in onert_micro::test_model::TestDataAbsBase< T >, onert_micro::test_model::TestDataAddBase< T >, onert_micro::test_model::TestDataConcatenationBase< T >, onert_micro::test_model::TestDataConv2DBase< T >, onert_micro::test_model::TestDataFullyConnectedBase< T >, onert_micro::test_model::TestDataFullyConnectedBase< int8_t >, onert_micro::test_model::TestDataGatherBase< T >, onert_micro::test_model::TestDataLogisticBase< T >, onert_micro::test_model::TestDataMaxPool2DBase< T >, onert_micro::test_model::TestDataMulBase< T >, onert_micro::test_model::TestDataPackBase< T >, onert_micro::test_model::TestDataReshapeKernel< T >, onert_micro::test_model::TestDataShapeKernel< T, U >, onert_micro::test_model::TestDataStridedSliceKernel< T >, and onert_micro::test_model::TestDataSubBase< T >.

    +

    Implemented in onert_micro::test_model::TestDataAbsBase< T >, onert_micro::test_model::TestDataAddBase< T >, onert_micro::test_model::TestDataConcatenationBase< T >, onert_micro::test_model::TestDataConv2DBase< T >, onert_micro::test_model::TestDataFullyConnectedBase< T >, onert_micro::test_model::TestDataFullyConnectedBase< int8_t >, onert_micro::test_model::TestDataGatherBase< T >, onert_micro::test_model::TestDataLogisticBase< T >, onert_micro::test_model::TestDataMaxPool2DBase< T >, onert_micro::test_model::TestDataMulBase< T >, onert_micro::test_model::TestDataPackBase< T >, onert_micro::test_model::TestDataReshapeKernel< T >, onert_micro::test_model::TestDataShapeKernel< T, U >, onert_micro::test_model::TestDataSoftmaxBase< T >, onert_micro::test_model::TestDataSoftmaxBase< float >, onert_micro::test_model::TestDataStridedSliceKernel< T >, and onert_micro::test_model::TestDataSubBase< T >.

    diff --git a/classonert__micro_1_1test__model_1_1_test_data_float_softmax.html b/classonert__micro_1_1test__model_1_1_test_data_float_softmax.html new file mode 100644 index 00000000000..e789a207ecb --- /dev/null +++ b/classonert__micro_1_1test__model_1_1_test_data_float_softmax.html @@ -0,0 +1,227 @@ + + + + + + + +ONE - On-device Neural Engine: onert_micro::test_model::TestDataFloatSoftmax Class Reference + + + + + + + + + + + + + +
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    +
    ONE - On-device Neural Engine +
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    Loading...
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    + +
    onert_micro::test_model::TestDataFloatSoftmax Class Reference
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    +
    + +

    #include <FloatSoftmaxKernel.h>

    +
    +Collaboration diagram for onert_micro::test_model::TestDataFloatSoftmax:
    +
    +
    Collaboration graph
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    [legend]
    + + + + + + + + + + + + + + + + + + +

    +Public Member Functions

     TestDataFloatSoftmax ()
     
     ~TestDataFloatSoftmax () override=default
     
    - Public Member Functions inherited from onert_micro::test_model::TestDataSoftmaxBase< float >
     TestDataSoftmaxBase ()=default
     
    const unsigned char * get_model_ptr () override final
     
    const std::vector< float > & get_input_data_by_index (int i) override final
     
    const std::vector< float > & get_output_data_by_index (int i) override final
     
    - Public Member Functions inherited from onert_micro::test_model::TestDataBase< T, U >
    virtual ~TestDataBase ()=default
     
    + + + + + + + + +

    +Additional Inherited Members

    - Protected Attributes inherited from onert_micro::test_model::TestDataSoftmaxBase< float >
    std::vector< float > _input_data
     
    std::vector< float > _reference_output_data
     
    const unsigned char * _test_kernel_model_circle
     
    +

    Detailed Description

    +
    +

    Definition at line 76 of file FloatSoftmaxKernel.h.

    +

    Constructor & Destructor Documentation

    + +

    ◆ TestDataFloatSoftmax()

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    onert_micro::test_model::TestDataFloatSoftmax::TestDataFloatSoftmax ()
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    +inline
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    Definition at line 79 of file FloatSoftmaxKernel.h.

    + +

    References onert_micro::test_model::TestDataSoftmaxBase< float >::_input_data, onert_micro::test_model::TestDataSoftmaxBase< float >::_reference_output_data, onert_micro::test_model::TestDataSoftmaxBase< float >::_test_kernel_model_circle, onert_micro::test_model::softmax_float::input_data, onert_micro::test_model::softmax_float::reference_output_data, and onert_micro::test_model::softmax_float::test_kernel_model_circle.

    + +
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    ◆ ~TestDataFloatSoftmax()

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    onert_micro::test_model::TestDataFloatSoftmax::~TestDataFloatSoftmax ()
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    +overridedefault
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    + +
    +
    +
    The documentation for this class was generated from the following file: +
    +
    + + + + diff --git a/classonert__micro_1_1test__model_1_1_test_data_float_softmax.js b/classonert__micro_1_1test__model_1_1_test_data_float_softmax.js new file mode 100644 index 00000000000..d6b83cc69c6 --- /dev/null +++ b/classonert__micro_1_1test__model_1_1_test_data_float_softmax.js @@ -0,0 +1,5 @@ +var classonert__micro_1_1test__model_1_1_test_data_float_softmax = +[ + [ "TestDataFloatSoftmax", "classonert__micro_1_1test__model_1_1_test_data_float_softmax.html#a499efb9cf92e21bbcb871fb48a3ef78a", null ], + [ "~TestDataFloatSoftmax", "classonert__micro_1_1test__model_1_1_test_data_float_softmax.html#a82d13760b2c2063034017e1e3cf5ad90", null ] +]; \ No newline at end of file diff --git a/classonert__micro_1_1test__model_1_1_test_data_float_softmax__coll__graph.map b/classonert__micro_1_1test__model_1_1_test_data_float_softmax__coll__graph.map new file mode 100644 index 00000000000..87b4c6a6717 --- /dev/null +++ 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zL_Nsn%aYQ!Rk%*H2&j%kDLi>_o4P0zMbxp+Xg58^mdwJPPo{+R>)w?(KDsA%^iWC( zfjFFlh%h(@D{fI5J5c3+TV7`;Lm#qt$hY2&^y@-goS-bJC%MRDvmby=lX7$4X7$w9 z=hg)I~$^A!p`t*{}K&|qDV)q=pl>08O$L!4=hqH)YlbqRJhoOUfR8&kNE zfD*WDNob3PY>Br24l8S5ziAuL|HO&+MKC0)UNwRH{r&eqZWAZ1I7I+XiT$D=Q63OH1!jJVNbHqao4W#SSjIc~iIx8*4%+H^ed%QU-CLl9s4r zXgG>DKqddCpsXAmF7x$;uMxbc!L7)(8v%*`;+=_%44BH;!oq-ts@QY*zI9L^k?b>4 z67ibYBF1u`??_5ALG`?Wp-#t!H@ox{%aTAgp*w!m)}{^aX76x93}u#_eN&mT*!}xg;KqWq z9?L#j>z3}BpIg4Qu2nV5Hc5xlTvJnX8>$9T0=T<62i2U}NT(X25>xLGQd~aY*ZdZnLRc=Kq`1zaj*W%Hr)2L@hIyX~^cO|FEJZxa)1=S2(x@ujJ%I1(~?8sh$Z k*}?by|Nm}W@VsBm + + + + + + +ONE - On-device Neural Engine: onert_micro::test_model::TestDataSoftmaxBase< T > Class Template Reference + + + + + + + + + + + + + +
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    ONE - On-device Neural Engine +
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    onert_micro::test_model::TestDataSoftmaxBase< T > Class Template Reference
    +
    +
    + +

    #include <TestDataSoftmaxBase.h>

    +
    +Collaboration diagram for onert_micro::test_model::TestDataSoftmaxBase< T >:
    +
    +
    Collaboration graph
    + + + + + +
    [legend]
    + + + + + + + + + + + + + +

    +Public Member Functions

     TestDataSoftmaxBase ()=default
     
    const unsigned char * get_model_ptr () override final
     
    const std::vector< T > & get_input_data_by_index (int i) override final
     
    const std::vector< T > & get_output_data_by_index (int i) override final
     
    - Public Member Functions inherited from onert_micro::test_model::TestDataBase< T, U >
    virtual ~TestDataBase ()=default
     
    + + + + + + + +

    +Protected Attributes

    std::vector< T > _input_data
     
    std::vector< T > _reference_output_data
     
    const unsigned char * _test_kernel_model_circle
     
    +

    Detailed Description

    +
    template<typename T>
    +class onert_micro::test_model::TestDataSoftmaxBase< T >
    +

    Definition at line 27 of file TestDataSoftmaxBase.h.

    +

    Constructor & Destructor Documentation

    + +

    ◆ TestDataSoftmaxBase()

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + + + + +
    onert_micro::test_model::TestDataSoftmaxBase< T >::TestDataSoftmaxBase ()
    +
    +default
    +
    + +
    +
    +

    Member Function Documentation

    + +

    ◆ get_input_data_by_index()

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + + + + + +
    const std::vector< T > & onert_micro::test_model::TestDataSoftmaxBase< T >::get_input_data_by_index (int i)
    +
    +inlinefinaloverridevirtual
    +
    + +

    Implements onert_micro::test_model::TestDataBase< T, U >.

    + +

    Definition at line 34 of file TestDataSoftmaxBase.h.

    +
    35 {
    +
    36 switch (i)
    +
    37 {
    +
    38 case 0:
    +
    39 return _input_data;
    +
    40 default:
    +
    41 assert(false && "Wrong input index");
    +
    42 }
    +
    43 }
    + +
    +

    References onert_micro::test_model::TestDataSoftmaxBase< T >::_input_data.

    + +
    +
    + +

    ◆ get_model_ptr()

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + + + + +
    const unsigned char * onert_micro::test_model::TestDataSoftmaxBase< T >::get_model_ptr ()
    +
    +inlinefinaloverridevirtual
    +
    +
    + +

    ◆ get_output_data_by_index()

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + + + + + +
    const std::vector< T > & onert_micro::test_model::TestDataSoftmaxBase< T >::get_output_data_by_index (int i)
    +
    +inlinefinaloverridevirtual
    +
    + +

    Implements onert_micro::test_model::TestDataBase< T, U >.

    + +

    Definition at line 45 of file TestDataSoftmaxBase.h.

    +
    46 {
    +
    47 assert(i == 0);
    + +
    49 }
    + +
    +

    References onert_micro::test_model::TestDataSoftmaxBase< T >::_reference_output_data.

    + +
    +
    +

    Field Documentation

    + +

    ◆ _input_data

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + +
    std::vector<T> onert_micro::test_model::TestDataSoftmaxBase< T >::_input_data
    +
    +protected
    +
    +
    + +

    ◆ _reference_output_data

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + +
    std::vector<T> onert_micro::test_model::TestDataSoftmaxBase< T >::_reference_output_data
    +
    +protected
    +
    +
    + +

    ◆ _test_kernel_model_circle

    + +
    +
    +
    +template<typename T >
    + + + + + +
    + + + + +
    const unsigned char* onert_micro::test_model::TestDataSoftmaxBase< T >::_test_kernel_model_circle
    +
    +protected
    +
    +
    +
    The documentation for this class was generated from the following file: +
    +
    + + + + diff --git a/classonert__micro_1_1test__model_1_1_test_data_softmax_base.js b/classonert__micro_1_1test__model_1_1_test_data_softmax_base.js new file mode 100644 index 00000000000..6b9ab543e48 --- /dev/null +++ b/classonert__micro_1_1test__model_1_1_test_data_softmax_base.js @@ -0,0 +1,10 @@ +var classonert__micro_1_1test__model_1_1_test_data_softmax_base = +[ + [ "TestDataSoftmaxBase", "classonert__micro_1_1test__model_1_1_test_data_softmax_base.html#a28d6fa091342ae27d029ff3a069ca337", null ], + [ "get_input_data_by_index", "classonert__micro_1_1test__model_1_1_test_data_softmax_base.html#a6fe8fea8a058feaacc3e89fc29695161", null ], + [ "get_model_ptr", "classonert__micro_1_1test__model_1_1_test_data_softmax_base.html#a51dc25978ea79b63c3c46ff5902853b6", null ], + [ "get_output_data_by_index", "classonert__micro_1_1test__model_1_1_test_data_softmax_base.html#ae66cdb24b1cd95c52c580d0b0076ae60", null ], + [ "_input_data", 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zhK3k4rIqoOL|`QKXRXxNvMjQ|4s>S)g@sB!K2p$w8AU~;(&^E#ycmc%+^m|jsv#!~ zLV9d5Aj}3*#36{X=^uqVFXl6tr@mbMW sfp*O_go>8+l3U#W_r@z>cJJYZ+AH^c8~TcCaAO#us;H$ -

    Definition at line 256 of file OpSelector.cpp.

    -
    256 : _module{module}
    -
    257{
    -
    258 if (_module->size() != 1)
    -
    259 {
    -
    260 throw std::runtime_error{"ERROR: Not support two or more subgraphs"};
    -
    261 }
    -
    262}
    +

    Definition at line 265 of file OpSelector.cpp.

    +
    265 : _module{module}
    +
    266{
    +
    267 // DO NOTHING
    +
    268}
    -

    References luci::Module::size().

    -

    Member Function Documentation

    @@ -157,45 +152,53 @@

    -

    Definition at line 370 of file OpSelector.cpp.

    -
    371{
    -
    372 auto colon_tokens = ::split_into_vector(str, ',');
    -
    373 if (colon_tokens.empty())
    -
    374 {
    -
    375 throw std::runtime_error{"ERROR: Nothing was entered."};
    -
    376 }
    -
    377
    -
    378 assert(_module->size() == 1);
    -
    379
    -
    380 auto selected_nodes = select_by<SELECT_TYPE>(colon_tokens);
    -
    381
    -
    382 // multiout node should be considered
    -
    383 IsMultiOutputNode multiout_visitor;
    -
    384 std::vector<const luci::CircleNode *> output_nodes;
    -
    385 for (const auto &node : selected_nodes)
    -
    386 {
    -
    387 if (node->accept(&multiout_visitor))
    -
    388 {
    -
    389 auto outputs = loco::succs(node);
    -
    390 for (auto &o : outputs)
    -
    391 {
    -
    392 output_nodes.push_back(dynamic_cast<luci::CircleNode *>(o));
    -
    393 }
    -
    394 }
    -
    395 }
    -
    396 selected_nodes.insert(selected_nodes.end(), output_nodes.begin(), output_nodes.end());
    -
    397
    -
    398 auto new_module = std::make_unique<luci::Module>();
    -
    399 new_module->add(::make_graph(selected_nodes));
    -
    400
    -
    401 return new_module;
    -
    402}
    -
    size_t size(void) const
    Definition Module.h:44
    +

    Definition at line 376 of file OpSelector.cpp.

    +
    377{
    +
    378 auto colon_tokens = ::split_into_vector(str, ',');
    +
    379 if (colon_tokens.empty())
    +
    380 {
    +
    381 throw std::runtime_error{"ERROR: Nothing was entered."};
    +
    382 }
    +
    383
    +
    384 auto selected_nodes = select_by<SELECT_TYPE>(colon_tokens);
    +
    385
    +
    386 // multiout node should be considered
    +
    387 IsMultiOutputNode multiout_visitor;
    +
    388 std::vector<const luci::CircleNode *> output_nodes;
    +
    389 for (const auto &node : selected_nodes)
    +
    390 {
    +
    391 if (node->accept(&multiout_visitor))
    +
    392 {
    +
    393 auto outputs = loco::succs(node);
    +
    394 for (auto &o : outputs)
    +
    395 {
    +
    396 output_nodes.push_back(dynamic_cast<luci::CircleNode *>(o));
    +
    397 }
    +
    398 }
    +
    399 }
    +
    400 selected_nodes.insert(selected_nodes.end(), output_nodes.begin(), output_nodes.end());
    +
    401
    +
    402 // TODO support two or more subgraphs
    +
    403 for (const auto &n : selected_nodes)
    +
    404 {
    +
    405 IsMultiGraphNode multigraph_visitor;
    +
    406 bool isMultiGraph = n->accept(&multigraph_visitor);
    +
    407 if (isMultiGraph)
    +
    408 {
    +
    409 throw std::runtime_error{"ERROR: If or While operator can't be selected."};
    +
    410 }
    +
    411 }
    +
    412
    +
    413 auto new_module = std::make_unique<luci::Module>();
    +
    414 new_module->add(::make_graph(selected_nodes));
    +
    415
    +
    416 return new_module;
    +
    417}
    std::set< Node * > succs(const Node *node)
    Enumerate all the successors of a given node.
    Definition Node.cpp:46
    std::vector< Node * > output_nodes(Graph *)
    Definition Graph.cpp:101
    -

    References luci::Module::size(), and loco::succs().

    +

    References loco::succs().

    diff --git a/classpackage_1_1libnnfw__api__pybind_1_1nnfw__session__wrapper.html b/classpackage_1_1libnnfw__api__pybind_1_1nnfw__session__wrapper.html index d14b596a909..f2cfc677e35 100644 --- a/classpackage_1_1libnnfw__api__pybind_1_1nnfw__session__wrapper.html +++ b/classpackage_1_1libnnfw__api__pybind_1_1nnfw__session__wrapper.html @@ -210,7 +210,7 @@

    77
    78
    -

    References Operation.outputs, Request.outputs, circlechef::CircleImport.outputs(), crew::Part.outputs, luci::CircleReader.outputs(), luci::PGroup.outputs, mio::circle::Reader.outputs(), moco::ModelSignature.outputs(), tflinspect::Reader.outputs(), tflchef::TFliteImport.outputs(), tflread::Reader.outputs(), luci_interpreter::CircleReader.outputs(), onert_micro::core::reader::OMCircleReader.outputs(), mio::circle::Reader.outputs(), loco::Graph.outputs(), ann::Operation.outputs(), loco::Graph.outputs(), nnc::sir::CallFunction.outputs, nnkit::support::onnx::Runner.outputs(), validate_onnx2circle.OnnxRunner.outputs, onert_micro::execute::OMRuntimeKernel.outputs, OperationFactory::Param.outputs, nnfw_custom_kernel_params.outputs, package.libnnfw_api_pybind.nnfw_session_wrapper.outputs, onert::exec::IODescription.outputs, nnkit::support::tf::Runner.run(), onert_micro::core::OMRuntimeModule.run(), onert_micro::OMInterpreter.run(), nnfw_session.run(), NNFW_SESSION.run(), onert::backend::acl_common::AclConstantInitializer.run(), onert::backend::cpu::ops::LogSoftMaxLayer.run(), onert::backend::gpu_cl::ClConstantInitializer.run(), onert::compiler::pass::PassRunner.run(), onert::exec::Job.run(), onert::compiler::pass::OperationPass.run(), onert::compiler::pass::UnusedOperandEliminationPass.run(), onert::compiler::train::pass::LossInsertionPass.run(), arm_compute::CLArgMinMaxLayerEx.run(), arm_compute::CLDirectTransposeConvLayer.run(), arm_compute::CLFullyConnectedHybridLayer.run(), arm_compute::weights_transformations::CLFullyConnectedLayerReshapeWeightsExManaged.run(), arm_compute::CLFullyConnectedLayerEx.run(), arm_compute::CLOneHot.run(), arm_compute::CLPadLayerEx.run(), arm_compute::CLReduceOperation.run(), arm_compute::CLSplitVEx.run(), arm_compute::CLTopKV2.run(), arm_compute::CLTransposeConvLayer.run(), arm_compute::NEFullyConnectedHybridLayer.run(), arm_compute::NEFullyConnectedLayerEx.run(), arm_compute::NEInstanceNormalizationLayerEx.run(), arm_compute::NEReduceOperation.run(), arm_compute::NEReduceSum.run(), arm_compute::NETransposeConvLayer.run(), onert::api::CustomKernel.run(), onert::backend::acl_common::AclFunction.run(), onert::backend::cpu::ops::AddNLayer.run(), onert::backend::cpu::ops::ArgMinMaxLayer.run(), onert::backend::cpu::ops::BatchMatMulLayer.run(), onert::backend::cpu::ops::BatchToSpaceNDLayer.run(), onert::backend::cpu::ops::BinaryArithmeticLayer.run(), onert::backend::cpu::ops::BroadcastToLayer.run(), onert::backend::cpu::ops::CompareLayer.run(), onert::backend::cpu::ops::ConcatLayer.run(), onert::backend::cpu::ops::ConvolutionLayer.run(), onert::backend::cpu::ops::DepthToSpaceLayer.run(), onert::backend::cpu::ops::DepthwiseConvolutionLayer.run(), onert::backend::cpu::ops::DetectionPostProcessLayer.run(), onert::backend::cpu::ops::EinsumLayer.run(), onert::backend::cpu::ops::ElementwiseActivationLayer.run(), onert::backend::cpu::ops::ElementwiseBinaryLayer.run(), onert::backend::cpu::ops::ElementwiseUnaryLayer.run(), onert::backend::cpu::ops::ExpandDimsLayer.run(), onert::backend::cpu::ops::FillLayer.run(), onert::backend::cpu::ops::FullyConnectedLayer.run(), onert::backend::cpu::ops::FusedBatchNormLayer.run(), onert::backend::cpu::ops::GatherLayer.run(), onert::backend::cpu::ops::L2NormLayer.run(), onert::backend::cpu::ops::LSTMLayer.run(), onert::backend::cpu::ops::MatrixBandPartLayer.run(), onert::backend::cpu::ops::MeanLayer.run(), onert::backend::cpu::ops::OneHotLayer.run(), onert::backend::cpu::ops::PackLayer.run(), onert::backend::cpu::ops::PadLayer.run(), onert::backend::cpu::ops::PoolLayer.run(), onert::backend::cpu::ops::PowLayer.run(), onert::backend::cpu::ops::QuantizeLayer.run(), onert::backend::cpu::ops::RangeLayer.run(), onert::backend::cpu::ops::RankLayer.run(), onert::backend::cpu::ops::ReduceLayer.run(), onert::backend::cpu::ops::ReshapeLayer.run(), onert::backend::cpu::ops::ResizeBilinearLayer.run(), onert::backend::cpu::ops::ReverseLayer.run(), onert::backend::cpu::ops::SelectLayer.run(), onert::backend::cpu::ops::ShapeLayer.run(), onert::backend::cpu::ops::SliceLayer.run(), onert::backend::cpu::ops::SoftMaxLayer.run(), onert::backend::cpu::ops::SpaceToBatchNDLayer.run(), onert::backend::cpu::ops::SpaceToDepthLayer.run(), onert::backend::cpu::ops::SplitLayer.run(), onert::backend::cpu::ops::SplitVLayer.run(), onert::backend::cpu::ops::SqDiffLayer.run(), onert::backend::cpu::ops::StatelessRandomUniformLayer.run(), onert::backend::cpu::ops::StridedSliceLayer.run(), onert::backend::cpu::ops::TileLayer.run(), onert::backend::cpu::ops::TransposeLayer.run(), onert::backend::cpu::ops::UnpackLayer.run(), onert::backend::gpu_cl::ClFunction.run(), onert::backend::ruy::ops::ConvolutionLayer.run(), onert::backend::ruy::ops::FullyConnectedLayer.run(), onert::backend::trix::ops::BulkLayer.run(), onert::backend::xnnpack::ops::ConvolutionLayer.run(), onert::backend::xnnpack::ops::DepthwiseConvolutionLayer.run(), onert::backend::xnnpack::ops::FullyConnectedLayer.run(), onert::exec::FunctionSequence.run(), onert::exec::NopFunction.run(), onert::backend::builtin::kernel::IfLayer.run(), onert::backend::builtin::kernel::PermuteLayer.run(), onert::backend::builtin::kernel::WhileLayer.run(), onert::compiler::pass::OddOutputPass.run(), onert::exec::IPermuteFunction.run(), onert::exec::HookFunction.run(), onert::compiler::pass::OperandPass.run(), onert::exec::IFunction.run(), onert::compiler::pass::IPass.run(), onert::compiler::pass::Pass.run(), mir_interpreter::AvgPool2DImpl< uint8_t >.run(), mir_interpreter::AvgPool2DImpl< T >.run(), mir_interpreter::DepthwiseConv2DImpl< T >.run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >.run(), mir_interpreter::SliceImpl< T >.run(), mir_interpreter::ELUImpl< T >.run(), mir_interpreter::LeakyReLUImpl< T >.run(), mir_interpreter::CappedReLUImpl< T >.run(), mir_interpreter::CappedReLUImpl< uint8_t >.run(), mir_interpreter::SoftmaxImpl< T >.run(), mir_interpreter::AbsImpl< T >.run(), mir_interpreter::AbsImpl< uint8_t >.run(), mir_interpreter::ReLUImpl< T >.run(), mir_interpreter::ReLUImpl< uint8_t >.run(), mir_interpreter::SigmoidImpl< T >.run(), mir_interpreter::SigmoidImpl< uint8_t >.run(), mir_interpreter::SqrtImpl< T >.run(), mir_interpreter::SqrtImpl< uint8_t >.run(), mir_interpreter::TanhImpl< T >.run(), mir_interpreter::TanhImpl< uint8_t >.run(), mir_interpreter::MaxPool2DImpl< uint8_t >.run(), mir_interpreter::TransposeImpl< T >.run(), mir_interpreter::SoftmaxImpl< uint8_t >.run(), mir_interpreter::HardSwishImpl< T >.run(), mir_interpreter::HardSwishImpl< uint8_t >.run(), mir_interpreter::MaxPool2DImpl< T >.run(), mir_interpreter::PadImpl< T >.run(), mir_interpreter::ReduceMeanImpl< T >.run(), mir_interpreter::FullyConnectedImpl< T >.run(), mir_interpreter::FullyConnectedImpl< uint8_t >.run(), Executor.run(), logo::PhaseRunner< PhaseStrategy::Saturate >.run(), logo::PhaseRunner< PhaseStrategy::Restart >.run(), luci::PhaseRunner< logo::PhaseStrategy::Saturate >.run(), luci::PhaseRunner< logo::PhaseStrategy::Restart >.run(), enco::Pass.run(), enco::AvgPoolLoweringPass.run(), enco::ConcatLoweringPass.run(), enco::ConstantFoldingPass.run(), enco::CopyLoweringPass.run(), enco::DataLayoutConversionPass.run(), enco::DeadBagEliminationPass.run(), enco::DeadObjectEliminationPass.run(), enco::BagDuplicationPass.run(), enco::DuplicatedObjectReductionPass.run(), enco::FeatureUnificationPass.run(), enco::FreeInstrEliminationPass.run(), enco::FreeOpEliminationPass.run(), enco::IdenticalObjectReductionPass.run(), enco::IndirectCopyEliminationPass.run(), enco::IntrinsicSelectionPass.run(), enco::BypassGenerationPass.run(), enco::PhaseConstructionPass.run(), VerifyFlatbuffers.run(), mpqsolver::bisection::BisectionSolver.run(), mpqsolver::pattern::PatternSolver.run(), mpqsolver::MPQSolver.run(), mir_interpreter::ConcatImpl< T >.run(), mir_interpreter::ConcatImpl< uint8_t >.run(), mir_interpreter::GatherByT< T >.run(), mir_interpreter::GatherImpl< T, IndicesT >.run(), mir_interpreter::Conv2DImpl< T >.run(), mir_interpreter::Conv2DImpl< uint8_t >.run(), mir_interpreter::DeConv2DImpl< T >.run(), mir_interpreter::AddImpl< T >.run(), mir_interpreter::AddImpl< uint8_t >.run(), mir_interpreter::DivImpl< T >.run(), mir_interpreter::DivImpl< uint8_t >.run(), mir_interpreter::EqualImpl< T >.run(), mir_interpreter::GreaterImpl< T >.run(), mir_interpreter::LessImpl< T >.run(), mir_interpreter::MaxImpl< T >.run(), mir_interpreter::MaxImpl< uint8_t >.run(), mir_interpreter::MulImpl< T >.run(), mir_interpreter::MulImpl< uint8_t >.run(), mir_interpreter::SubImpl< T >.run(), mir_interpreter::SubImpl< uint8_t >.run(), arm_compute::CLArgMinMaxLayerKernelEx.run(), arm_compute::CLBinaryLogicalOpKernel.run(), arm_compute::CLEmbeddingLookupKernel.run(), arm_compute::CLGatherExKernel.run(), arm_compute::CLGEMMMatrixAccumulateBiasesKernel.run(), arm_compute::CLHashtableLookupKernel.run(), arm_compute::CLInstanceNormalizationLayerKernelEx.run(), arm_compute::CLMemsetKernel.run(), arm_compute::CLMultiplyScaleFactorKernel.run(), arm_compute::CLNegKernel.run(), arm_compute::CLOneHotKernel.run(), arm_compute::CLPadLayerKernelEx.run(), arm_compute::CLQuantizationSymmetricKernel.run(), arm_compute::CLReduceOperationKernel.run(), arm_compute::CLScaleFactorSymm8Kernel.run(), arm_compute::NECastBoolKernel.run(), arm_compute::NEEmbeddingLookupKernel.run(), arm_compute::NEGatherKernelEx.run(), arm_compute::NEGEMMMatrixAccumulateBiasesKernel.run(), arm_compute::NEHashtableLookupKernel.run(), arm_compute::NEInstanceNormalizationLayerKernelEx.run(), arm_compute::NEMultiplyScaleFactorKernel.run(), arm_compute::NEOneHotKernel.run(), arm_compute::NEQuantizationSymmetricKernel.run(), cli::App.run(), cli::Command.run(), DecodeCommand.run(), EncodeCommand.run(), InitCommand.run(), MergeCommand.run(), cli::FunctionCommand.run(), tfkit::ConvertCommand.run(), tfkit::DecodeCommand.run(), tfkit::EncodeCommand.run(), tfkit::PackCommand.run(), tfkit::UnpackCommand.run(), exo::test::TypeShapeReadyPhase.run(), logo::RemoveDeadNodePass.run(), logo::RemoveDeadNodeWithQueryPass.run(), logo::ReorderDecodePass< loco::TensorBiasAdd >.run(), logo::ReorderDecodePass< loco::ReLU >.run(), luci::CircleTypeInferencePass.run(), exo::FoldReshapeOfConstPass.run(), exo::FoldTransposeOfConstPass.run(), exo::FuseBiasAddPass.run(), exo::FuseInstanceNormPass.run(), exo::FuseReluPass.run(), exo::FuseRsqrtPass.run(), exo::FuseSquaredDifferencePass.run(), logo::RemoveForwardNodePass.run(), logo::SimplifyDomainConversionPass.run(), luci::ConvertNCHWToNHWCPass.run(), luci::ConvertToFakeQuantizedModelPass.run(), luci::DecomposeHardSwishPass.run(), luci::DecomposeSoftmaxPass.run(), luci::ExpandBroadcastConstPass.run(), luci::FoldAddV2Pass.run(), luci::FoldCastPass.run(), luci::FoldDensifyPass.run(), luci::FoldDepthwiseConv2DPass.run(), luci::FoldDequantizePass.run(), luci::FoldFullyConnectedPass.run(), luci::FoldGatherPass.run(), luci::FoldShapePass.run(), luci::FoldSparseToDensePass.run(), luci::ForwardReshapeToUnaryOpPass.run(), luci::ForwardTransposeOpPass.run(), luci::FuseActivationFunctionPass.run(), luci::FuseAddWithConvPass.run(), luci::FuseAddWithFullyConnectedPass.run(), luci::FuseAddWithTConvPass.run(), luci::FuseBatchNormWithConvPass.run(), luci::FuseBatchNormWithDwConvPass.run(), luci::FuseBatchNormWithTConvPass.run(), luci::FuseBCQPass.run(), luci::FuseGeluPass.run(), luci::FuseHorizontalFullyConnectedPass.run(), luci::FuseInstanceNormPass.run(), luci::FuseMeanWithMeanPass.run(), luci::FuseMulWithConvPass.run(), luci::FuseMulWithDivPass.run(), luci::FusePreActivationBatchNormPass.run(), luci::FusePReluPass.run(), luci::FuseSliceWithTConvPass.run(), luci::FuseTransposeWithMeanPass.run(), luci::MakeBatchNormGammaPositivePass.run(), luci::PropagateQParamBackwardPass.run(), luci::PropagateQParamForwardPass.run(), luci::RemoveDuplicateConstPass.run(), luci::RemoveFakeQuantPass.run(), luci::RemoveGatherGuardPass.run(), luci::RemoveQuantDequantSeqPass.run(), luci::RemoveRedundantDequantizePass.run(), luci::RemoveRedundantQuantizePass.run(), luci::RemoveRedundantReshapePass.run(), luci::RemoveRedundantTransposePass.run(), luci::RemoveUnnecessaryAddPass.run(), luci::RemoveUnnecessaryReshapeNetPass.run(), luci::RemoveUnnecessaryReshapePass.run(), luci::RemoveUnnecessarySlicePass.run(), luci::RemoveUnnecessarySplitPass.run(), luci::RemoveUnnecessaryStridedSlicePass.run(), luci::RemoveUnnecessaryTransposeNetPass.run(), luci::ReplaceMulAddWithDepthwiseConvPass.run(), luci::ReplaceNonConstFCWithBatchMatMulPass.run(), luci::ReplaceSubWithAddPass.run(), luci::ReplaceWithFCGeluFCPass.run(), luci::ResolveCustomOpAddPass.run(), luci::ResolveCustomOpBatchMatMulPass.run(), luci::ResolveCustomOpMatMulPass.run(), luci::ResolveCustomOpMaxPoolWithArgmaxPass.run(), luci::ResolveCustomOpSplitVPass.run(), luci::ResolveFormerCustomOpPass.run(), luci::ShuffleWeightTo16x1Float32Pass.run(), luci::SparsifyTensorPass.run(), luci::SubstitutePackToReshapePass.run(), luci::SubstitutePadV2ToPadPass.run(), luci::SubstituteSplitVToSplitPass.run(), luci::SubstituteSqueezeToReshapePass.run(), luci::SubstituteStridedSliceToReshapePass.run(), luci::SubstituteTransposeToReshapePass.run(), luci::TransformMinMaxToRelu6Pass.run(), luci::TransformMinReluToRelu6Pass.run(), luci::UnrollUnidirectionalSequenceLSTMPass.run(), luci::XpSepActFromTransposeConvPass.run(), luci::QuantizeOnnxDequantizeLinearPass.run(), luci::QuantizeOnnxQDQPass.run(), luci::QuantizeWithPredecessorPass.run(), moco::RemoveTFIdentityNode.run(), exo::CanonicalNodeConverter< loco::FeatureBiasAdd >.run(), exo::CanonicalNodeConverter< loco::EltwiseDiv >.run(), exo::CanonicalNodeConverter< loco::ReLU >.run(), exo::CanonicalNodeConverter< loco::TensorTranspose >.run(), exo::CanonicalNodeConverter< loco::AvgPool2D >.run(), exo::CanonicalNodeConverter< CanonicalType >.run(), exo::CanonicalNodeConverter< loco::TensorReduce >.run(), exo::CanonicalNodeConverter< loco::TensorConcat >.run(), exo::CanonicalNodeConverter< loco::EltwiseAdd >.run(), exo::CanonicalNodeConverter< loco::MaxPool2D >.run(), exo::CanonicalNodeConverter< loco::ReLU6 >.run(), exo::CanonicalNodeConverter< loco::EltwiseSub >.run(), exo::CanonicalNodeConverter< loco::EltwiseSqrt >.run(), exo::CanonicalNodeConverter< loco::EltwiseMul >.run(), exo::CanonicalNodeConverter< loco::EltwiseMax >.run(), exo::CanonicalNodeConverter< loco::DepthwiseConv2D >.run(), exo::CanonicalNodeConverter< loco::TransposedConv2D >.run(), exo::CanonicalNodeConverter< loco::Conv2D >.run(), exo::CanonicalNodeConverter< loco::ConstGen >.run(), exo::CanonicalNodeConverter< loco::MatMul >.run(), exo::TensorBroadcastConverter.run(), exo::MergeConcatNodesPass.run(), exo::ShapeInferencePass.run(), exo::TypeInferencePass.run(), luci::CircleShapeInferencePass.run(), luci::CommonSubExpressionEliminationPass.run(), luci::CopyQuantParamPass.run(), luci::DynamicBatchToSingleBatchPass.run(), luci::ForceQuantParamPass.run(), luci::QuantizeDequantizeWeightsPass.run(), luci::QuantizeOnnxFakeQuantModelPass.run(), luci::QuantizeWeightsPass.run(), luci::QuantizeWithMinMaxPass.run(), luci::RequantizePass.run(), luci::QuantizePreCheckerPass.run(), moco::tf::SimpleNodeTransform< moco::TFPush >.run(), moco::tf::SimpleNodeTransform< moco::TFTanh >.run(), moco::tf::SimpleNodeTransform< moco::TFStopGradient >.run(), moco::tf::SimpleNodeTransform< moco::TFMean >.run(), moco::tf::SimpleNodeTransform< moco::TFSoftmax >.run(), moco::tf::SimpleNodeTransform< moco::TFRsqrt >.run(), moco::tf::SimpleNodeTransform<::moco::TFPlaceholder >.run(), moco::tf::SimpleNodeTransform< moco::TFMul >.run(), moco::tf::SimpleNodeTransform< moco::TFMaximum >.run(), moco::tf::SimpleNodeTransform< moco::TFIdentity >.run(), moco::tf::SimpleNodeTransform< moco::TFRealDiv >.run(), moco::tf::SimpleNodeTransform< moco::TFConst >.run(), moco::tf::SimpleNodeTransform< TFAdd >.run(), moco::tf::SimpleNodeTransform< moco::TFAvgPool >.run(), moco::tf::SimpleNodeTransform< moco::TFConcatV2 >.run(), moco::tf::SimpleNodeTransform< moco::TFMaxPool >.run(), moco::tf::SimpleNodeTransform< moco::TFPad >.run(), moco::tf::SimpleNodeTransform< moco::TFConv2DBackpropInput >.run(), moco::tf::SimpleNodeTransform< moco::TFRelu >.run(), moco::tf::SimpleNodeTransform< TFConv2D >.run(), moco::tf::SimpleNodeTransform< moco::TFRelu6 >.run(), moco::tf::SimpleNodeTransform< moco::TFDepthwiseConv2dNative >.run(), moco::tf::SimpleNodeTransform< ConcreteNode >.run(), moco::tf::SimpleNodeTransform< moco::TFBiasAdd >.run(), moco::tf::SimpleNodeTransform< moco::TFReshape >.run(), moco::tf::SimpleNodeTransform< moco::TFSqueeze >.run(), moco::tf::SimpleNodeTransform< moco::TFSub >.run(), moco::tf::SimpleNodeTransform< moco::TFSqrt >.run(), logo::ConstantFoldingPass.run(), logo::ResolveDuplicateReshapePass.run(), logo::ResolveRedundantReshapePass.run(), moco::tf::ShapeInferencePass.run(), moco::tf::TypeInferencePass.run(), moco::ConstantFoldAdd.run(), moco::ConstantFoldMul.run(), moco::ConstantFoldPack.run(), moco::ConstantFoldStridedSlice.run(), moco::FuseBinaryIntoPreceding.run(), moco::ResolveConstantShape.run(), moco::ResolveFusedBatchNorm.run(), moco::ResolveReshapeWildcardDim.run(), moco::ResolveSquaredDifference.run(), moco::SqueezeReduceNode.run(), logo::Pass.run(), locomotiv::NodeExecution.run(), luci::Pass.run(), luci::CircleShapeInferencePass.run(), luci::CircleTypeInferencePass.run(), luci::FuseBCQPass.run(), nnc::InterpreterBackend.run(), nnc::AclCppCodeGenerator.run(), nnc::CPPCodeGenerator.run(), mir_interpreter::FillImpl< T >.run(), ShowAction.run(), nnc::DumperPass.run(), nnc::CombineTransposes.run(), nnc::ConstantFoldTranspose.run(), nnc::DeadCodeElimination.run(), nnc::FuseArithmeticOps.run(), nnc::SinkRelu.run(), nnc::SinkTranspose.run(), nnc::DataFormatSwitcher.run(), nnc::LowerConv2D.run(), DummyPass1.run(), DummyPass2.run(), nnc::Pass.run(), Command.Command.run(), validate_onnx2circle.OnnxRunner.run(), test_utils.TestRunner.run(), QErrorComputer.QErrorComputer.run(), QErrorComputer.MPEIRComputer.run(), QErrorComputer.MSEComputer.run(), QErrorComputer.TAEComputer.run(), QErrorComputer.SRMSEComputer.run(), CfgRunner.CfgRunner.run(), WorkflowRunner.WorkflowRunner.run(), circleinspect::DumpOperators.run(), circleinspect::DumpConv2DWeight.run(), circleinspect::DumpOperatorVersion.run(), circleinspect::DumpTensorDType.run(), circleinspect::DumpConstants.run(), circleinspect::DumpInterface.run(), cirops::DumpOperators.run(), circletensordump::DumpTensors.run(), circletensordump::DumpTensorsToHdf5.run(), circletensordump::DumpInterface.run(), tflinspect::DumpOperators.run(), tflinspect::DumpConv2DWeight.run(), tflinspect::DumpOperatorVersion.run(), tflinspect::DumpInterface.run(), RandomizeAction.run(), HD5ExportAction.run(), HD5ImportAction.run(), nnkit::Action.run(), moco::tf::test::TFNodeBuildTester.run(), moco::test::TFNodeBuildTester.run(), TfLiteInterpMatchApp.run(), nnfw::tflite::RandomInputInitializer.run(), prunner::PModelsRunner.run(), nnkit::support::onnx::Runner.run(), npud::core::Server.run(), nnkit::support::caffe::Backend< DType >.run(), nnkit::support::moco::tf::Backend.run(), nnkit::support::onnx::Backend.run(), nnkit::support::tf::Backend.run(), nnkit::support::tflite::AbstractBackend.run(), arm_compute::CLFullyConnectedReshapingLayer.run(), arm_compute::NEFullyConnectedReshapingLayer.run(), nnfw::tflite::InterpreterSession.run(), nnkit::Backend.run(), and nnfw::tflite::Session.run().

    +

    References Operation.outputs, Request.outputs, circlechef::CircleImport.outputs(), crew::Part.outputs, luci::CircleReader.outputs(), luci::PGroup.outputs, mio::circle::Reader.outputs(), moco::ModelSignature.outputs(), tflinspect::Reader.outputs(), tflchef::TFliteImport.outputs(), tflread::Reader.outputs(), luci_interpreter::CircleReader.outputs(), onert_micro::core::reader::OMCircleReader.outputs(), mio::circle::Reader.outputs(), loco::Graph.outputs(), ann::Operation.outputs(), loco::Graph.outputs(), nnc::sir::CallFunction.outputs, nnkit::support::onnx::Runner.outputs(), validate_onnx2circle.OnnxRunner.outputs, onert_micro::execute::OMRuntimeKernel.outputs, OperationFactory::Param.outputs, nnfw_custom_kernel_params.outputs, package.libnnfw_api_pybind.nnfw_session_wrapper.outputs, onert::exec::IODescription.outputs, nnkit::support::tf::Runner.run(), onert_micro::core::OMRuntimeModule.run(), onert_micro::OMInterpreter.run(), nnfw_session.run(), NNFW_SESSION.run(), onert::backend::acl_common::AclConstantInitializer.run(), onert::backend::cpu::ops::LogSoftMaxLayer.run(), onert::backend::gpu_cl::ClConstantInitializer.run(), onert::compiler::pass::PassRunner.run(), onert::exec::Job.run(), onert::compiler::pass::OperationPass.run(), onert::compiler::pass::UnusedOperandEliminationPass.run(), onert::compiler::train::pass::LossInsertionPass.run(), arm_compute::CLArgMinMaxLayerEx.run(), arm_compute::CLDirectTransposeConvLayer.run(), arm_compute::CLFullyConnectedHybridLayer.run(), arm_compute::weights_transformations::CLFullyConnectedLayerReshapeWeightsExManaged.run(), arm_compute::CLFullyConnectedLayerEx.run(), arm_compute::CLOneHot.run(), arm_compute::CLPadLayerEx.run(), arm_compute::CLReduceOperation.run(), arm_compute::CLSplitVEx.run(), arm_compute::CLTopKV2.run(), arm_compute::CLTransposeConvLayer.run(), arm_compute::NEFullyConnectedHybridLayer.run(), arm_compute::NEFullyConnectedLayerEx.run(), arm_compute::NEInstanceNormalizationLayerEx.run(), arm_compute::NEReduceOperation.run(), arm_compute::NEReduceSum.run(), arm_compute::NETransposeConvLayer.run(), onert::api::CustomKernel.run(), onert::backend::acl_common::AclFunction.run(), onert::backend::cpu::ops::AddNLayer.run(), onert::backend::cpu::ops::ArgMinMaxLayer.run(), onert::backend::cpu::ops::BatchMatMulLayer.run(), onert::backend::cpu::ops::BatchToSpaceNDLayer.run(), onert::backend::cpu::ops::BinaryArithmeticLayer.run(), onert::backend::cpu::ops::BroadcastToLayer.run(), onert::backend::cpu::ops::CompareLayer.run(), onert::backend::cpu::ops::ConcatLayer.run(), onert::backend::cpu::ops::ConvolutionLayer.run(), onert::backend::cpu::ops::DepthToSpaceLayer.run(), onert::backend::cpu::ops::DepthwiseConvolutionLayer.run(), onert::backend::cpu::ops::DetectionPostProcessLayer.run(), onert::backend::cpu::ops::EinsumLayer.run(), onert::backend::cpu::ops::ElementwiseActivationLayer.run(), onert::backend::cpu::ops::ElementwiseBinaryLayer.run(), onert::backend::cpu::ops::ElementwiseUnaryLayer.run(), onert::backend::cpu::ops::ExpandDimsLayer.run(), onert::backend::cpu::ops::FillLayer.run(), onert::backend::cpu::ops::FullyConnectedLayer.run(), onert::backend::cpu::ops::FusedBatchNormLayer.run(), onert::backend::cpu::ops::GatherLayer.run(), onert::backend::cpu::ops::L2NormLayer.run(), onert::backend::cpu::ops::LSTMLayer.run(), onert::backend::cpu::ops::MatrixBandPartLayer.run(), onert::backend::cpu::ops::MeanLayer.run(), onert::backend::cpu::ops::OneHotLayer.run(), onert::backend::cpu::ops::PackLayer.run(), onert::backend::cpu::ops::PadLayer.run(), onert::backend::cpu::ops::PoolLayer.run(), onert::backend::cpu::ops::PowLayer.run(), onert::backend::cpu::ops::QuantizeLayer.run(), onert::backend::cpu::ops::RangeLayer.run(), onert::backend::cpu::ops::RankLayer.run(), onert::backend::cpu::ops::ReduceLayer.run(), onert::backend::cpu::ops::ReshapeLayer.run(), onert::backend::cpu::ops::ResizeBilinearLayer.run(), onert::backend::cpu::ops::ReverseLayer.run(), onert::backend::cpu::ops::SelectLayer.run(), onert::backend::cpu::ops::ShapeLayer.run(), onert::backend::cpu::ops::SliceLayer.run(), onert::backend::cpu::ops::SoftMaxLayer.run(), onert::backend::cpu::ops::SpaceToBatchNDLayer.run(), onert::backend::cpu::ops::SpaceToDepthLayer.run(), onert::backend::cpu::ops::SplitLayer.run(), onert::backend::cpu::ops::SplitVLayer.run(), onert::backend::cpu::ops::SqDiffLayer.run(), onert::backend::cpu::ops::StatelessRandomUniformLayer.run(), onert::backend::cpu::ops::StridedSliceLayer.run(), onert::backend::cpu::ops::TileLayer.run(), onert::backend::cpu::ops::TransposeLayer.run(), onert::backend::cpu::ops::UnpackLayer.run(), onert::backend::gpu_cl::ClFunction.run(), onert::backend::ruy::ops::ConvolutionLayer.run(), onert::backend::ruy::ops::FullyConnectedLayer.run(), onert::backend::trix::ops::BulkLayer.run(), onert::backend::xnnpack::ops::ConvolutionLayer.run(), onert::backend::xnnpack::ops::DepthwiseConvolutionLayer.run(), onert::backend::xnnpack::ops::FullyConnectedLayer.run(), onert::exec::FunctionSequence.run(), onert::exec::NopFunction.run(), onert::backend::builtin::kernel::IfLayer.run(), onert::backend::builtin::kernel::PermuteLayer.run(), onert::backend::builtin::kernel::WhileLayer.run(), onert::compiler::pass::OddOutputPass.run(), onert::exec::IPermuteFunction.run(), onert::exec::HookFunction.run(), onert::compiler::pass::OperandPass.run(), onert::exec::IFunction.run(), onert::compiler::pass::IPass.run(), onert::compiler::pass::Pass.run(), mir_interpreter::AvgPool2DImpl< uint8_t >.run(), mir_interpreter::AvgPool2DImpl< T >.run(), mir_interpreter::DepthwiseConv2DImpl< T >.run(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >.run(), mir_interpreter::SliceImpl< T >.run(), mir_interpreter::ELUImpl< T >.run(), mir_interpreter::LeakyReLUImpl< T >.run(), mir_interpreter::CappedReLUImpl< T >.run(), mir_interpreter::CappedReLUImpl< uint8_t >.run(), mir_interpreter::SoftmaxImpl< T >.run(), mir_interpreter::AbsImpl< T >.run(), mir_interpreter::AbsImpl< uint8_t >.run(), mir_interpreter::ReLUImpl< T >.run(), mir_interpreter::ReLUImpl< uint8_t >.run(), mir_interpreter::SigmoidImpl< T >.run(), mir_interpreter::SigmoidImpl< uint8_t >.run(), mir_interpreter::SqrtImpl< T >.run(), mir_interpreter::SqrtImpl< uint8_t >.run(), mir_interpreter::TanhImpl< T >.run(), mir_interpreter::TanhImpl< uint8_t >.run(), mir_interpreter::MaxPool2DImpl< uint8_t >.run(), mir_interpreter::TransposeImpl< T >.run(), mir_interpreter::SoftmaxImpl< uint8_t >.run(), mir_interpreter::HardSwishImpl< T >.run(), mir_interpreter::HardSwishImpl< uint8_t >.run(), mir_interpreter::MaxPool2DImpl< T >.run(), mir_interpreter::PadImpl< T >.run(), mir_interpreter::ReduceMeanImpl< T >.run(), mir_interpreter::FullyConnectedImpl< T >.run(), mir_interpreter::FullyConnectedImpl< uint8_t >.run(), Executor.run(), logo::PhaseRunner< PhaseStrategy::Saturate >.run(), logo::PhaseRunner< PhaseStrategy::Restart >.run(), luci::PhaseRunner< logo::PhaseStrategy::Saturate >.run(), luci::PhaseRunner< logo::PhaseStrategy::Restart >.run(), enco::Pass.run(), enco::AvgPoolLoweringPass.run(), enco::ConcatLoweringPass.run(), enco::ConstantFoldingPass.run(), enco::CopyLoweringPass.run(), enco::DataLayoutConversionPass.run(), enco::DeadBagEliminationPass.run(), enco::DeadObjectEliminationPass.run(), enco::BagDuplicationPass.run(), enco::DuplicatedObjectReductionPass.run(), enco::FeatureUnificationPass.run(), enco::FreeInstrEliminationPass.run(), enco::FreeOpEliminationPass.run(), enco::IdenticalObjectReductionPass.run(), enco::IndirectCopyEliminationPass.run(), enco::IntrinsicSelectionPass.run(), enco::BypassGenerationPass.run(), enco::PhaseConstructionPass.run(), VerifyFlatbuffers.run(), mpqsolver::bisection::BisectionSolver.run(), mpqsolver::pattern::PatternSolver.run(), mpqsolver::MPQSolver.run(), mir_interpreter::ConcatImpl< T >.run(), mir_interpreter::ConcatImpl< uint8_t >.run(), mir_interpreter::GatherByT< T >.run(), mir_interpreter::GatherImpl< T, IndicesT >.run(), mir_interpreter::Conv2DImpl< T >.run(), mir_interpreter::Conv2DImpl< uint8_t >.run(), mir_interpreter::DeConv2DImpl< T >.run(), mir_interpreter::AddImpl< T >.run(), mir_interpreter::AddImpl< uint8_t >.run(), mir_interpreter::DivImpl< T >.run(), mir_interpreter::DivImpl< uint8_t >.run(), mir_interpreter::EqualImpl< T >.run(), mir_interpreter::GreaterImpl< T >.run(), mir_interpreter::LessImpl< T >.run(), mir_interpreter::MaxImpl< T >.run(), mir_interpreter::MaxImpl< uint8_t >.run(), mir_interpreter::MulImpl< T >.run(), mir_interpreter::MulImpl< uint8_t >.run(), mir_interpreter::SubImpl< T >.run(), mir_interpreter::SubImpl< uint8_t >.run(), arm_compute::CLArgMinMaxLayerKernelEx.run(), arm_compute::CLBinaryLogicalOpKernel.run(), arm_compute::CLEmbeddingLookupKernel.run(), arm_compute::CLGatherExKernel.run(), arm_compute::CLGEMMMatrixAccumulateBiasesKernel.run(), arm_compute::CLHashtableLookupKernel.run(), arm_compute::CLInstanceNormalizationLayerKernelEx.run(), arm_compute::CLMemsetKernel.run(), arm_compute::CLMultiplyScaleFactorKernel.run(), arm_compute::CLNegKernel.run(), arm_compute::CLOneHotKernel.run(), arm_compute::CLPadLayerKernelEx.run(), arm_compute::CLQuantizationSymmetricKernel.run(), arm_compute::CLReduceOperationKernel.run(), arm_compute::CLScaleFactorSymm8Kernel.run(), arm_compute::NECastBoolKernel.run(), arm_compute::NEEmbeddingLookupKernel.run(), arm_compute::NEGatherKernelEx.run(), arm_compute::NEGEMMMatrixAccumulateBiasesKernel.run(), arm_compute::NEHashtableLookupKernel.run(), arm_compute::NEInstanceNormalizationLayerKernelEx.run(), arm_compute::NEMultiplyScaleFactorKernel.run(), arm_compute::NEOneHotKernel.run(), arm_compute::NEQuantizationSymmetricKernel.run(), cli::App.run(), cli::Command.run(), DecodeCommand.run(), EncodeCommand.run(), InitCommand.run(), MergeCommand.run(), cli::FunctionCommand.run(), tfkit::ConvertCommand.run(), tfkit::DecodeCommand.run(), tfkit::EncodeCommand.run(), tfkit::PackCommand.run(), tfkit::UnpackCommand.run(), exo::test::TypeShapeReadyPhase.run(), logo::RemoveDeadNodePass.run(), logo::RemoveDeadNodeWithQueryPass.run(), logo::ReorderDecodePass< loco::TensorBiasAdd >.run(), logo::ReorderDecodePass< loco::ReLU >.run(), luci::CircleTypeInferencePass.run(), exo::FoldReshapeOfConstPass.run(), exo::FoldTransposeOfConstPass.run(), exo::FuseBiasAddPass.run(), exo::FuseInstanceNormPass.run(), exo::FuseReluPass.run(), exo::FuseRsqrtPass.run(), exo::FuseSquaredDifferencePass.run(), logo::RemoveForwardNodePass.run(), logo::SimplifyDomainConversionPass.run(), luci::ConvertNCHWToNHWCPass.run(), luci::ConvertToFakeQuantizedModelPass.run(), luci::DecomposeHardSwishPass.run(), luci::DecomposeSoftmaxPass.run(), luci::ExpandBroadcastConstPass.run(), luci::FoldAddV2Pass.run(), luci::FoldCastPass.run(), luci::FoldDensifyPass.run(), luci::FoldDepthwiseConv2DPass.run(), luci::FoldDequantizePass.run(), luci::FoldFullyConnectedPass.run(), luci::FoldGatherPass.run(), luci::FoldShapePass.run(), luci::FoldSparseToDensePass.run(), luci::ForwardReshapeToUnaryOpPass.run(), luci::ForwardTransposeOpPass.run(), luci::FuseActivationFunctionPass.run(), luci::FuseAddWithConvPass.run(), luci::FuseAddWithFullyConnectedPass.run(), luci::FuseAddWithTConvPass.run(), luci::FuseBatchNormWithConvPass.run(), luci::FuseBatchNormWithDwConvPass.run(), luci::FuseBatchNormWithTConvPass.run(), luci::FuseBCQPass.run(), luci::FuseGeluPass.run(), luci::FuseHorizontalFullyConnectedPass.run(), luci::FuseInstanceNormPass.run(), luci::FuseMeanWithMeanPass.run(), luci::FuseMulWithConvPass.run(), luci::FuseMulWithDivPass.run(), luci::FusePreActivationBatchNormPass.run(), luci::FusePReluPass.run(), luci::FuseSliceWithTConvPass.run(), luci::FuseTransposeWithMeanPass.run(), luci::MakeBatchNormGammaPositivePass.run(), luci::PropagateQParamBackwardPass.run(), luci::PropagateQParamForwardPass.run(), luci::RemoveDuplicateConstPass.run(), luci::RemoveFakeQuantPass.run(), luci::RemoveGatherGuardPass.run(), luci::RemoveQuantDequantSeqPass.run(), luci::RemoveRedundantDequantizePass.run(), luci::RemoveRedundantQuantizePass.run(), luci::RemoveRedundantReshapePass.run(), luci::RemoveRedundantTransposePass.run(), luci::RemoveUnnecessaryAddPass.run(), luci::RemoveUnnecessaryReshapeNetPass.run(), luci::RemoveUnnecessaryReshapePass.run(), luci::RemoveUnnecessarySlicePass.run(), luci::RemoveUnnecessarySplitPass.run(), luci::RemoveUnnecessaryStridedSlicePass.run(), luci::RemoveUnnecessaryTransposeNetPass.run(), luci::ReplaceMulAddWithDepthwiseConvPass.run(), luci::ReplaceNonConstFCWithBatchMatMulPass.run(), luci::ReplaceSubWithAddPass.run(), luci::ReplaceWithFCGeluFCPass.run(), luci::ResolveCustomOpAddPass.run(), luci::ResolveCustomOpBatchMatMulPass.run(), luci::ResolveCustomOpMatMulPass.run(), luci::ResolveCustomOpMaxPoolWithArgmaxPass.run(), luci::ResolveCustomOpSplitVPass.run(), luci::ResolveFormerCustomOpPass.run(), luci::ShuffleWeightTo16x1Float32Pass.run(), luci::SparsifyTensorPass.run(), luci::SubstitutePackToReshapePass.run(), luci::SubstitutePadV2ToPadPass.run(), luci::SubstituteSplitVToSplitPass.run(), luci::SubstituteSqueezeToReshapePass.run(), luci::SubstituteStridedSliceToReshapePass.run(), luci::SubstituteTransposeToReshapePass.run(), luci::TransformMinMaxToRelu6Pass.run(), luci::TransformMinReluToRelu6Pass.run(), luci::UnrollUnidirectionalSequenceLSTMPass.run(), luci::XpSepActFromTransposeConvPass.run(), luci::QuantizeOnnxDequantizeLinearPass.run(), luci::QuantizeOnnxQDQPass.run(), luci::QuantizeWithPredecessorPass.run(), moco::RemoveTFIdentityNode.run(), exo::CanonicalNodeConverter< loco::FeatureBiasAdd >.run(), exo::CanonicalNodeConverter< loco::EltwiseDiv >.run(), exo::CanonicalNodeConverter< loco::ReLU >.run(), exo::CanonicalNodeConverter< loco::TensorTranspose >.run(), exo::CanonicalNodeConverter< loco::AvgPool2D >.run(), exo::CanonicalNodeConverter< CanonicalType >.run(), exo::CanonicalNodeConverter< loco::TensorReduce >.run(), exo::CanonicalNodeConverter< loco::TensorConcat >.run(), exo::CanonicalNodeConverter< loco::EltwiseAdd >.run(), exo::CanonicalNodeConverter< loco::MaxPool2D >.run(), exo::CanonicalNodeConverter< loco::ReLU6 >.run(), exo::CanonicalNodeConverter< loco::EltwiseSub >.run(), exo::CanonicalNodeConverter< loco::EltwiseSqrt >.run(), exo::CanonicalNodeConverter< loco::EltwiseMul >.run(), exo::CanonicalNodeConverter< loco::EltwiseMax >.run(), exo::CanonicalNodeConverter< loco::DepthwiseConv2D >.run(), exo::CanonicalNodeConverter< loco::TransposedConv2D >.run(), exo::CanonicalNodeConverter< loco::Conv2D >.run(), exo::CanonicalNodeConverter< loco::ConstGen >.run(), exo::CanonicalNodeConverter< loco::MatMul >.run(), exo::TensorBroadcastConverter.run(), exo::MergeConcatNodesPass.run(), exo::ShapeInferencePass.run(), exo::TypeInferencePass.run(), luci::CircleShapeInferencePass.run(), luci::CommonSubExpressionEliminationPass.run(), luci::CopyQuantParamPass.run(), luci::DynamicBatchToSingleBatchPass.run(), luci::ForceQuantParamPass.run(), luci::QuantizeDequantizeWeightsPass.run(), luci::QuantizeOnnxFakeQuantModelPass.run(), luci::QuantizeWeightsPass.run(), luci::QuantizeWithMinMaxPass.run(), luci::RequantizePass.run(), luci::QuantizePreCheckerPass.run(), moco::tf::SimpleNodeTransform< moco::TFPush >.run(), moco::tf::SimpleNodeTransform< moco::TFTanh >.run(), moco::tf::SimpleNodeTransform< moco::TFStopGradient >.run(), moco::tf::SimpleNodeTransform< moco::TFMean >.run(), moco::tf::SimpleNodeTransform< moco::TFSoftmax >.run(), moco::tf::SimpleNodeTransform< moco::TFRsqrt >.run(), moco::tf::SimpleNodeTransform<::moco::TFPlaceholder >.run(), moco::tf::SimpleNodeTransform< moco::TFMul >.run(), moco::tf::SimpleNodeTransform< moco::TFMaximum >.run(), moco::tf::SimpleNodeTransform< moco::TFIdentity >.run(), moco::tf::SimpleNodeTransform< moco::TFRealDiv >.run(), moco::tf::SimpleNodeTransform< moco::TFConst >.run(), moco::tf::SimpleNodeTransform< TFAdd >.run(), moco::tf::SimpleNodeTransform< moco::TFAvgPool >.run(), moco::tf::SimpleNodeTransform< moco::TFConcatV2 >.run(), moco::tf::SimpleNodeTransform< moco::TFMaxPool >.run(), moco::tf::SimpleNodeTransform< moco::TFPad >.run(), moco::tf::SimpleNodeTransform< moco::TFConv2DBackpropInput >.run(), moco::tf::SimpleNodeTransform< moco::TFRelu >.run(), moco::tf::SimpleNodeTransform< TFConv2D >.run(), moco::tf::SimpleNodeTransform< moco::TFRelu6 >.run(), moco::tf::SimpleNodeTransform< moco::TFDepthwiseConv2dNative >.run(), moco::tf::SimpleNodeTransform< ConcreteNode >.run(), moco::tf::SimpleNodeTransform< moco::TFBiasAdd >.run(), moco::tf::SimpleNodeTransform< moco::TFReshape >.run(), moco::tf::SimpleNodeTransform< moco::TFSqueeze >.run(), moco::tf::SimpleNodeTransform< moco::TFSub >.run(), moco::tf::SimpleNodeTransform< moco::TFSqrt >.run(), logo::ConstantFoldingPass.run(), logo::ResolveDuplicateReshapePass.run(), logo::ResolveRedundantReshapePass.run(), moco::tf::ShapeInferencePass.run(), moco::tf::TypeInferencePass.run(), moco::ConstantFoldAdd.run(), moco::ConstantFoldMul.run(), moco::ConstantFoldPack.run(), moco::ConstantFoldStridedSlice.run(), moco::FuseBinaryIntoPreceding.run(), moco::ResolveConstantShape.run(), moco::ResolveFusedBatchNorm.run(), moco::ResolveReshapeWildcardDim.run(), moco::ResolveSquaredDifference.run(), moco::SqueezeReduceNode.run(), logo::Pass.run(), locomotiv::NodeExecution.run(), luci::Pass.run(), luci::CircleShapeInferencePass.run(), luci::CircleTypeInferencePass.run(), luci::FuseBCQPass.run(), nnc::InterpreterBackend.run(), nnc::AclCppCodeGenerator.run(), nnc::CPPCodeGenerator.run(), mir_interpreter::FillImpl< T >.run(), ShowAction.run(), nnc::DumperPass.run(), nnc::CombineTransposes.run(), nnc::ConstantFoldTranspose.run(), nnc::DeadCodeElimination.run(), nnc::FuseArithmeticOps.run(), nnc::SinkRelu.run(), nnc::SinkTranspose.run(), nnc::DataFormatSwitcher.run(), nnc::LowerConv2D.run(), DummyPass1.run(), DummyPass2.run(), nnc::Pass.run(), Command.Command.run(), validate_onnx2circle.OnnxRunner.run(), test_utils.TestRunner.run(), QErrorComputer.QErrorComputer.run(), QErrorComputer.MPEIRComputer.run(), QErrorComputer.MSEComputer.run(), QErrorComputer.TAEComputer.run(), QErrorComputer.SRMSEComputer.run(), CfgRunner.CfgRunner.run(), WorkflowRunner.WorkflowRunner.run(), circleinspect::DumpOperators.run(), circleinspect::DumpConv2DWeight.run(), circleinspect::DumpOperatorVersion.run(), circleinspect::DumpTensorDType.run(), circleinspect::DumpConstants.run(), circleinspect::DumpInterface.run(), cirops::DumpOperators.run(), circletensordump::DumpTensors.run(), circletensordump::DumpTensorsToHdf5.run(), circletensordump::DumpInterface.run(), tflinspect::DumpOperators.run(), tflinspect::DumpConv2DWeight.run(), tflinspect::DumpOperatorVersion.run(), tflinspect::DumpInterface.run(), RandomizeAction.run(), HD5ExportAction.run(), HD5ImportAction.run(), nnkit::Action.run(), moco::tf::test::TFNodeBuildTester.run(), moco::test::TFNodeBuildTester.run(), TfLiteInterpMatchApp.run(), nnfw::tflite::RandomInputInitializer.run(), prunner::PModelsRunner.run(), nnkit::support::onnx::Runner.run(), npud::core::Server.run(), nnkit::support::caffe::Backend< DType >.run(), nnkit::support::moco::tf::Backend.run(), nnkit::support::onnx::Backend.run(), nnkit::support::tf::Backend.run(), nnkit::support::tflite::AbstractBackend.run(), arm_compute::CLFullyConnectedReshapingLayer.run(), arm_compute::NEFullyConnectedReshapingLayer.run(), nnfw::tflite::InterpreterSession.run(), nnkit::Backend.run(), and nnfw::tflite::Session.run().

    diff --git a/classtflchef_1_1_t_flite_op_conv2_d.html b/classtflchef_1_1_t_flite_op_conv2_d.html index cd4229c4d33..7d6f54e59ee 100644 --- a/classtflchef_1_1_t_flite_op_conv2_d.html +++ b/classtflchef_1_1_t_flite_op_conv2_d.html @@ -151,7 +151,7 @@

    tflchef::TFliteOpChef.

    -

    Definition at line 37 of file Conv2D.cpp.

    +

    Definition at line 37 of file Conv2D.cpp.

    38{
    39 tflchef::Operation *operation = ctx->chefop;
    40 const tflite::Operator *op = ctx->tflop;
    @@ -221,7 +221,7 @@

    tflchef::TFliteOpChef.

    -

    Definition at line 24 of file Conv2D.cpp.

    +

    Definition at line 24 of file Conv2D.cpp.

    26{
    27 const std::vector<int32_t> &inputs = as_index_vector(op->inputs());
    28
    @@ -241,7 +241,7 @@

    Conv2D.h -
  • compiler/tflchef/tflite/src/Op/Conv2D.cpp
  • +
  • compiler/tflchef/tflite/src/Op/Conv2D.cpp
  • diff --git a/classtflchef_1_1_t_flite_op_e_l_u.html b/classtflchef_1_1_t_flite_op_e_l_u.html index 20410ca05ea..0aa01f55be4 100644 --- a/classtflchef_1_1_t_flite_op_e_l_u.html +++ b/classtflchef_1_1_t_flite_op_e_l_u.html @@ -151,7 +151,7 @@

    tflchef::TFliteOpChef.

    -

    Definition at line 30 of file ELU.cpp.

    +

    Definition at line 30 of file ELU.cpp.

    31{
    32 tflchef::Operation *operation = ctx->chefop;
    33 const tflite::Operator *op = ctx->tflop;
    @@ -207,7 +207,7 @@

    tflchef::TFliteOpChef.

    -

    Definition at line 24 of file ELU.cpp.

    +

    Definition at line 24 of file ELU.cpp.

    26{
    27 // Nothing to do with filler
    28}
    @@ -216,7 +216,7 @@

    ELU.h -
  • compiler/tflchef/tflite/src/Op/ELU.cpp
  • +
  • compiler/tflchef/tflite/src/Op/ELU.cpp
  • diff --git a/classtflchef_1_1_t_flite_op_leaky_relu.html b/classtflchef_1_1_t_flite_op_leaky_relu.html index 2af5cd9dc63..0bd2b45a3af 100644 --- a/classtflchef_1_1_t_flite_op_leaky_relu.html +++ b/classtflchef_1_1_t_flite_op_leaky_relu.html @@ -151,7 +151,7 @@

    tflchef::TFliteOpChef.

    -

    Definition at line 30 of file LeakyRelu.cpp.

    +

    Definition at line 30 of file LeakyRelu.cpp.

    31{
    32 tflchef::Operation *operation = ctx->chefop;
    33 const tflite::Operator *op = ctx->tflop;
    @@ -213,7 +213,7 @@

    tflchef::TFliteOpChef.

    -

    Definition at line 24 of file LeakyRelu.cpp.

    +

    Definition at line 24 of file LeakyRelu.cpp.

    26{
    27 // Nothing to do with filler
    28}
    @@ -222,7 +222,7 @@

    LeakyRelu.h -
  • compiler/tflchef/tflite/src/Op/LeakyRelu.cpp
  • +
  • compiler/tflchef/tflite/src/Op/LeakyRelu.cpp
  • diff --git a/classtflchef_1_1_t_flite_op_re_l_u6.html b/classtflchef_1_1_t_flite_op_re_l_u6.html index e64cfaf6fd3..2382c7da329 100644 --- a/classtflchef_1_1_t_flite_op_re_l_u6.html +++ b/classtflchef_1_1_t_flite_op_re_l_u6.html @@ -151,7 +151,7 @@

    tflchef::TFliteOpChef.

    -

    Definition at line 30 of file ReLU6.cpp.

    +

    Definition at line 30 of file ReLU6.cpp.

    31{
    32 tflchef::Operation *operation = ctx->chefop;
    33 const tflite::Operator *op = ctx->tflop;
    @@ -207,7 +207,7 @@

    tflchef::TFliteOpChef.

    -

    Definition at line 24 of file ReLU6.cpp.

    +

    Definition at line 24 of file ReLU6.cpp.

    26{
    27 // Nothing to do with filler
    28}
    @@ -216,7 +216,7 @@

    ReLU6.h -
  • compiler/tflchef/tflite/src/Op/ReLU6.cpp
  • +
  • compiler/tflchef/tflite/src/Op/ReLU6.cpp
  • diff --git a/classtflimport_1_1_concatenation_graph_builder.html b/classtflimport_1_1_concatenation_graph_builder.html index 8da886d12a6..0e7f401de2c 100644 --- a/classtflimport_1_1_concatenation_graph_builder.html +++ b/classtflimport_1_1_concatenation_graph_builder.html @@ -332,7 +332,7 @@

    coco::Bag * bag(void) const
    Definition Object.h:74
    loco::FeatureShape as_feature_shape(const loco::NodeShape &nodeshape, const TFDataLayout &data_layout)
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    uint32_t num_elements(const Shape &shape)
    The number of elements of a feature map of a given shape.
    Definition Shape.h:59
    std::vector< int32_t > IndexVector
    Definition Convert.h:29
    IndexVector as_index_vector(const flatbuffers::Vector< int32_t > *array)
    Converts flatbuffers::Vector to IndexVector.
    Definition Convert.cpp:28
    diff --git a/classtflimport_1_1_conv2_d_graph_builder.html b/classtflimport_1_1_conv2_d_graph_builder.html index d1da4f8362a..b466fb1c48e 100644 --- a/classtflimport_1_1_conv2_d_graph_builder.html +++ b/classtflimport_1_1_conv2_d_graph_builder.html @@ -161,7 +161,7 @@

    tflimport::GraphBuilder.

    -

    Definition at line 53 of file Conv2D.cpp.

    +

    Definition at line 53 of file Conv2D.cpp.

    54{
    55 assert(context != nullptr);
    56
    @@ -300,7 +300,7 @@

    A unit of (grouped) instructions.
    Definition Block.h:40

    InstrList * instr(void)
    Definition Block.h:65
    2D Convolution over 3D Feature Map with 4D kernel
    Definition Ops.h:74
    -
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    +
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    void append(Child *child)
    static std::unique_ptr< BC > create(const nncc::core::ADT::feature::Shape &shape)
    static std::unique_ptr< BHWC > create(const nncc::core::ADT::feature::Shape &shape)
    @@ -326,7 +326,7 @@

    IndexVector as_index_vector(const flatbuffers::Vector< int32_t > *array)
    Converts flatbuffers::Vector to IndexVector.
    Definition Convert.cpp:28
    Core coco entity for constant weights.
    Definition Data.h:31
    -

    References OpBuilder::add(), coco::DLinkedList< Child, Parent >::Head::append(), morph::tflite::as_feature_shape(), tflimport::as_index_vector(), morph::tflite::as_kernel_shape(), tflimport::TensorBags::bag(), coco::Object::bag(), tflimport::GraphBuilderContext::bags(), tflimport::GraphBuilderContext::block(), coco::Padding2D::bottom(), tflimport::GraphBuilderContext::buffer(), tflimport::build_activation(), tflimport::conv2D_padding(), InstrBuilder::copy(), coco::FeatureLayouts::BHWC::create(), coco::FeatureLayouts::BC::create(), coco::KernelLayouts::NHWC::create(), tflimport::GraphBuilderContext::d(), InstrBuilder::eval(), tflimport::GraphBuilderContext::graph(), coco::Block::instr(), instr_builder(), coco::Conv2D::ker(), coco::Padding2D::left(), OpBuilder::load(), tflimport::GraphBuilderContext::m(), m, op_builder(), OpBuilder::pop(), coco::Padding2D::right(), tflimport::TensorContext::shape(), tflimport::GraphBuilderContext::tensor(), and coco::Padding2D::top().

    +

    References OpBuilder::add(), coco::DLinkedList< Child, Parent >::Head::append(), morph::tflite::as_feature_shape(), tflimport::as_index_vector(), morph::tflite::as_kernel_shape(), tflimport::TensorBags::bag(), coco::Object::bag(), tflimport::GraphBuilderContext::bags(), tflimport::GraphBuilderContext::block(), coco::Padding2D::bottom(), tflimport::GraphBuilderContext::buffer(), tflimport::build_activation(), tflimport::conv2D_padding(), InstrBuilder::copy(), coco::FeatureLayouts::BHWC::create(), coco::FeatureLayouts::BC::create(), coco::KernelLayouts::NHWC::create(), tflimport::GraphBuilderContext::d(), InstrBuilder::eval(), tflimport::GraphBuilderContext::graph(), coco::Block::instr(), instr_builder(), coco::Conv2D::ker(), coco::Padding2D::left(), OpBuilder::load(), tflimport::GraphBuilderContext::m(), m, op_builder(), OpBuilder::pop(), coco::Padding2D::right(), tflimport::TensorContext::shape(), tflimport::GraphBuilderContext::tensor(), and coco::Padding2D::top().

    @@ -358,7 +358,7 @@

    tflimport::GraphBuilder.

    -

    Definition at line 41 of file Conv2D.cpp.

    +

    Definition at line 41 of file Conv2D.cpp.

    42{
    43 auto const options = op->builtin_options_as_Conv2DOptions();
    44
    @@ -375,7 +375,7 @@

    Conv2D.h -
  • compiler/enco/frontend/tflite/src/Op/Conv2D.cpp
  • +
  • compiler/enco/frontend/tflite/src/Op/Conv2D.cpp
  • diff --git a/classtflimport_1_1_depthwise_conv2_d_graph_builder.html b/classtflimport_1_1_depthwise_conv2_d_graph_builder.html index 444b37105ce..b57ab9a5ee1 100644 --- a/classtflimport_1_1_depthwise_conv2_d_graph_builder.html +++ b/classtflimport_1_1_depthwise_conv2_d_graph_builder.html @@ -347,7 +347,7 @@

    A unit of (grouped) instructions.
    Definition Block.h:40
    InstrList * instr(void)
    Definition Block.h:65
    2D Convolution over 3D Feature Map with 4D kernel
    Definition Ops.h:74
    -
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    +
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    void append(Child *child)
    static std::unique_ptr< BC > create(const nncc::core::ADT::feature::Shape &shape)
    static std::unique_ptr< BHWC > create(const nncc::core::ADT::feature::Shape &shape)
    @@ -378,7 +378,7 @@

    Core coco entity for constant weights.
    Definition Data.h:31
    virtual PlainWeightContext< float > * f32(void)=0
    -

    References OpBuilder::add(), coco::DLinkedList< Child, Parent >::Head::append(), morph::tflite::as_feature_shape(), tflimport::as_index_vector(), tflimport::TensorBags::bag(), coco::Object::bag(), tflimport::GraphBuilderContext::bags(), tflimport::GraphBuilderContext::block(), coco::Padding2D::bottom(), tflimport::GraphBuilderContext::buffer(), tflimport::build_activation(), InstrBuilder::copy(), coco::FeatureLayouts::BHWC::create(), coco::FeatureLayouts::BC::create(), coco::KernelLayouts::NHWC::create(), tflimport::GraphBuilderContext::d(), tflimport::depthwiseConv2D_padding(), nncc::core::ADT::tensor::Shape::dim(), InstrBuilder::eval(), coco::Data::f32(), tflimport::GraphBuilderContext::graph(), coco::Block::instr(), instr_builder(), coco::Conv2D::ker(), coco::Padding2D::left(), OpBuilder::load(), tflimport::GraphBuilderContext::m(), m, op_builder(), OpBuilder::pop(), tflimport::TflBufferContext::TflBuffer< T >::ptr, nncc::core::ADT::tensor::Shape::rank(), coco::Padding2D::right(), tflimport::TensorContext::shape(), tflimport::GraphBuilderContext::tensor(), tflimport::TflBufferContext::tensor_buffer(), and coco::Padding2D::top().

    +

    References OpBuilder::add(), coco::DLinkedList< Child, Parent >::Head::append(), morph::tflite::as_feature_shape(), tflimport::as_index_vector(), tflimport::TensorBags::bag(), coco::Object::bag(), tflimport::GraphBuilderContext::bags(), tflimport::GraphBuilderContext::block(), coco::Padding2D::bottom(), tflimport::GraphBuilderContext::buffer(), tflimport::build_activation(), InstrBuilder::copy(), coco::FeatureLayouts::BHWC::create(), coco::FeatureLayouts::BC::create(), coco::KernelLayouts::NHWC::create(), tflimport::GraphBuilderContext::d(), tflimport::depthwiseConv2D_padding(), nncc::core::ADT::tensor::Shape::dim(), InstrBuilder::eval(), coco::Data::f32(), tflimport::GraphBuilderContext::graph(), coco::Block::instr(), instr_builder(), coco::Conv2D::ker(), coco::Padding2D::left(), OpBuilder::load(), tflimport::GraphBuilderContext::m(), m, op_builder(), OpBuilder::pop(), tflimport::TflBufferContext::TflBuffer< T >::ptr, nncc::core::ADT::tensor::Shape::rank(), coco::Padding2D::right(), tflimport::TensorContext::shape(), tflimport::GraphBuilderContext::tensor(), tflimport::TflBufferContext::tensor_buffer(), and coco::Padding2D::top().

    diff --git a/classtflimport_1_1_graph_builder_context.html b/classtflimport_1_1_graph_builder_context.html index 20b8226e6ea..c9215b1f0db 100644 --- a/classtflimport_1_1_graph_builder_context.html +++ b/classtflimport_1_1_graph_builder_context.html @@ -311,7 +311,7 @@

    Definition at line 153 of file Context.h.

    153{ return _tensor_bags; }
    -

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::copy_tensors().

    +

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::copy_tensors().

    @@ -341,7 +341,7 @@

    Definition at line 151 of file Context.h.

    151{ return _block; }
    -

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    +

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    @@ -371,7 +371,7 @@

    Definition at line 154 of file Context.h.

    154{ return _buffer_context; }
    -

    Referenced by tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::copy_tensors().

    +

    Referenced by tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::copy_tensors().

    @@ -401,7 +401,7 @@

    Definition at line 150 of file Context.h.

    150{ return _d; }
    -

    Referenced by tflimport::ConcatenationGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::copy_tensors().

    +

    Referenced by tflimport::ConcatenationGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::copy_tensors().

    @@ -431,7 +431,7 @@

    Definition at line 155 of file Context.h.

    155{ return _graph; }
    -

    Referenced by TopologicalSortHelper.TopologicalSortHelper::add_edge(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::copy_tensors(), and TopologicalSortHelper.TopologicalSortHelper::sort_util().

    +

    Referenced by TopologicalSortHelper.TopologicalSortHelper::add_edge(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::copy_tensors(), and TopologicalSortHelper.TopologicalSortHelper::sort_util().

    @@ -461,7 +461,7 @@

    Definition at line 149 of file Context.h.

    149{ return _m; }
    -

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    +

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    @@ -491,7 +491,7 @@

    Definition at line 152 of file Context.h.

    152{ return _tensor_context; }
    -

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::copy_tensors().

    +

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), and tflimport::copy_tensors().

    diff --git a/classtflimport_1_1_re_l_u6_graph_builder.html b/classtflimport_1_1_re_l_u6_graph_builder.html index 76dcf0166ac..dc4c1e6131d 100644 --- a/classtflimport_1_1_re_l_u6_graph_builder.html +++ b/classtflimport_1_1_re_l_u6_graph_builder.html @@ -161,7 +161,7 @@

    tflimport::GraphBuilder.

    -

    Definition at line 37 of file ReLU6.cpp.

    +

    Definition at line 37 of file ReLU6.cpp.

    38{
    39 assert(context != nullptr); // check if init(..) is called
    40
    @@ -240,7 +240,7 @@

    ReLU6.h -
  • compiler/enco/frontend/tflite/src/Op/ReLU6.cpp
  • +
  • compiler/enco/frontend/tflite/src/Op/ReLU6.cpp
  • diff --git a/classtflimport_1_1_tensor_bags.html b/classtflimport_1_1_tensor_bags.html index 633bc020df3..ae8178fad58 100644 --- a/classtflimport_1_1_tensor_bags.html +++ b/classtflimport_1_1_tensor_bags.html @@ -143,7 +143,7 @@

    Definition at line 52 of file TensorBags.h.

    52{ return _bag_ctx[tensor_id]; }
    -

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::set_module_inputs(), and tflimport::set_module_outputs().

    +

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::set_module_inputs(), and tflimport::set_module_outputs().

    diff --git a/classtflimport_1_1_tensor_context.html b/classtflimport_1_1_tensor_context.html index 90a436302de..b87fd106838 100644 --- a/classtflimport_1_1_tensor_context.html +++ b/classtflimport_1_1_tensor_context.html @@ -214,7 +214,7 @@

    Definition at line 44 of file Context.h.

    44{ return _shape_ctx[tensor_id]; }
    -

    Referenced by RandomDataGenerator.RandomDataGenerator::_gen_float32(), RandomDataGenerator.RandomDataGenerator::_gen_int16(), RandomDataGenerator.RandomDataGenerator::_gen_uint8(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::set_module_inputs(), and tflimport::set_module_outputs().

    +

    Referenced by RandomDataGenerator.RandomDataGenerator::_gen_float32(), RandomDataGenerator.RandomDataGenerator::_gen_int16(), RandomDataGenerator.RandomDataGenerator::_gen_uint8(), tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), tflimport::DepthwiseConv2DGraphBuilder::build(), tflimport::set_module_inputs(), and tflimport::set_module_outputs().

    diff --git a/compiler_2ann-ref_2src_2_shape_8cpp.html b/compiler_2ann-ref_2src_2_shape_8cpp.html index 5963eed8372..9911fd0c279 100644 --- a/compiler_2ann-ref_2src_2_shape_8cpp.html +++ b/compiler_2ann-ref_2src_2_shape_8cpp.html @@ -135,7 +135,7 @@

    References Shape::dimensions, and getNumberOfDimensions().

    -

    Referenced by addPrepare(), concatenationFloat32(), concatenationPrepare(), convPrepare(), depthwiseConvPrepare(), divPrepare(), fullyConnectedPrepare(), genericActivationPrepare(), genericPoolingPrepare(), onert::backend::cpu::ops::getNumberOfDimensions(), getNumberOfDimensions(), onert::backend::cpu::ops::HaveSameShapes(), mulPrepare(), padGeneric(), padPrepare(), onert::backend::cpu::ops::SoftMaxLayer::softmaxFloat32(), softmaxFloat32(), and subPrepare().

    +

    Referenced by addPrepare(), concatenationFloat32(), concatenationPrepare(), convPrepare(), depthwiseConvPrepare(), divPrepare(), fullyConnectedPrepare(), genericActivationPrepare(), genericPoolingPrepare(), onert::backend::cpu::ops::getNumberOfDimensions(), getNumberOfDimensions(), onert::backend::cpu::ops::HaveSameShapes(), mulPrepare(), padGeneric(), padPrepare(), onert::backend::cpu::ops::SoftMaxLayer::softmaxFloat32(), softmaxFloat32(), and subPrepare().

    @@ -209,7 +209,7 @@

    References Shape::dimensions, and getSizeOfDimension().

    -

    Referenced by addPrepare(), concatenationPrepare(), convertShapeToDims(), convPrepare(), depthwiseConvPrepare(), divPrepare(), fullyConnectedPrepare(), genericPoolingPrepare(), onert::backend::cpu::ops::getSizeOfDimension(), getSizeOfDimension(), mulPrepare(), padPrepare(), onert::backend::cpu::ops::SoftMaxLayer::softmaxFloat32(), softmaxFloat32(), and subPrepare().

    +

    Referenced by addPrepare(), concatenationPrepare(), convertShapeToDims(), convPrepare(), depthwiseConvPrepare(), divPrepare(), fullyConnectedPrepare(), genericPoolingPrepare(), onert::backend::cpu::ops::getSizeOfDimension(), getSizeOfDimension(), mulPrepare(), padPrepare(), onert::backend::cpu::ops::SoftMaxLayer::softmaxFloat32(), softmaxFloat32(), and subPrepare().

    diff --git a/compiler_2ann-ref_2src_2_shape_8h.html b/compiler_2ann-ref_2src_2_shape_8h.html index c35e6c45ca3..901445e1743 100644 --- a/compiler_2ann-ref_2src_2_shape_8h.html +++ b/compiler_2ann-ref_2src_2_shape_8h.html @@ -142,7 +142,7 @@

    References Shape::dimensions, and getNumberOfDimensions().

    -

    Referenced by addPrepare(), concatenationFloat32(), concatenationPrepare(), convPrepare(), depthwiseConvPrepare(), divPrepare(), fullyConnectedPrepare(), genericActivationPrepare(), genericPoolingPrepare(), onert::backend::cpu::ops::getNumberOfDimensions(), getNumberOfDimensions(), onert::backend::cpu::ops::HaveSameShapes(), mulPrepare(), padGeneric(), padPrepare(), onert::backend::cpu::ops::SoftMaxLayer::softmaxFloat32(), softmaxFloat32(), and subPrepare().

    +

    Referenced by addPrepare(), concatenationFloat32(), concatenationPrepare(), convPrepare(), depthwiseConvPrepare(), divPrepare(), fullyConnectedPrepare(), genericActivationPrepare(), genericPoolingPrepare(), onert::backend::cpu::ops::getNumberOfDimensions(), getNumberOfDimensions(), onert::backend::cpu::ops::HaveSameShapes(), mulPrepare(), padGeneric(), padPrepare(), onert::backend::cpu::ops::SoftMaxLayer::softmaxFloat32(), softmaxFloat32(), and subPrepare().

    @@ -216,7 +216,7 @@

    References Shape::dimensions, and getSizeOfDimension().

    -

    Referenced by addPrepare(), concatenationPrepare(), convertShapeToDims(), convPrepare(), depthwiseConvPrepare(), divPrepare(), fullyConnectedPrepare(), genericPoolingPrepare(), onert::backend::cpu::ops::getSizeOfDimension(), getSizeOfDimension(), mulPrepare(), padPrepare(), onert::backend::cpu::ops::SoftMaxLayer::softmaxFloat32(), softmaxFloat32(), and subPrepare().

    +

    Referenced by addPrepare(), concatenationPrepare(), convertShapeToDims(), convPrepare(), depthwiseConvPrepare(), divPrepare(), fullyConnectedPrepare(), genericPoolingPrepare(), onert::backend::cpu::ops::getSizeOfDimension(), getSizeOfDimension(), mulPrepare(), padPrepare(), onert::backend::cpu::ops::SoftMaxLayer::softmaxFloat32(), softmaxFloat32(), and subPrepare().

    diff --git a/compiler_2ann-ref_2src_2ops_2conv2d_8cpp.html b/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp.html similarity index 95% rename from compiler_2ann-ref_2src_2ops_2conv2d_8cpp.html rename to compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp.html index b556a485ac2..ed4c984a0c0 100644 --- a/compiler_2ann-ref_2src_2ops_2conv2d_8cpp.html +++ b/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -98,11 +98,11 @@ #include "Assert.h"
    #include "internal/Spatial.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    bool convPrepare (const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, Shape *output)
    bool convPrepare (const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, Shape *output)
     

    Function Documentation

    @@ -180,7 +180,7 @@

    -

    Definition at line 23 of file Conv2D.cpp.

    +

    Definition at line 23 of file Conv2D.cpp.

    26{
    27 ASSERT(input.type == filter.type);
    28 if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
    @@ -231,7 +231,7 @@

    diff --git a/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp.js b/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp.js new file mode 100644 index 00000000000..20a46505ef3 --- /dev/null +++ b/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2ann_ref_2src_2ops_2_conv2_d_8cpp = +[ + [ "convPrepare", "compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp.html#a030679d33d1c455aa2538feee0956681", null ] +]; \ No newline at end of file diff --git a/compiler_2ann-ref_2src_2ops_2conv2d_8cpp_source.html b/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp_source.html similarity index 91% rename from compiler_2ann-ref_2src_2ops_2conv2d_8cpp_source.html rename to compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp_source.html index 5b396988950..d50a619c504 100644 --- a/compiler_2ann-ref_2src_2ops_2conv2d_8cpp_source.html +++ b/compiler_2ann-ref_2src_2ops_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 * Copyright (C) 2017 The Android Open Source Project
    4 *
    @@ -120,7 +120,7 @@
    21#include "internal/Spatial.h"
    22
    -
    23bool convPrepare(const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left,
    +
    23bool convPrepare(const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left,
    24 int32_t padding_right, int32_t padding_top, int32_t padding_bottom,
    25 int32_t stride_width, int32_t stride_height, Shape *output)
    26{
    @@ -161,7 +161,7 @@
    #define ASSERT(v)
    Definition Assert.h:24
    uint32_t getSizeOfDimension(const Shape &shape, uint32_t dimensionIdx)
    Definition Shape.cpp:60
    uint32_t getNumberOfDimensions(const Shape &shape)
    Definition Shape.cpp:58
    -
    bool convPrepare(const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, Shape *output)
    Definition Conv2D.cpp:23
    +
    bool convPrepare(const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, Shape *output)
    Definition Conv2D.cpp:23
    Definition Shape.h:28
    @@ -169,7 +169,7 @@ diff --git a/compiler_2ann-ref_2src_2ops_2_conv2_d_8h.html b/compiler_2ann-ref_2src_2ops_2_conv2_d_8h.html index bf7d8157627..8709d7e3579 100644 --- a/compiler_2ann-ref_2src_2ops_2_conv2_d_8h.html +++ b/compiler_2ann-ref_2src_2ops_2_conv2_d_8h.html @@ -179,7 +179,7 @@

    -

    Definition at line 23 of file Conv2D.cpp.

    +

    Definition at line 23 of file Conv2D.cpp.

    26{
    27 ASSERT(input.type == filter.type);
    28 if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
    diff --git a/compiler_2ann-ref_2src_2ops_2_conv2_d_8h_source.html b/compiler_2ann-ref_2src_2ops_2_conv2_d_8h_source.html index 61a594740e8..f282dbea0c8 100644 --- a/compiler_2ann-ref_2src_2ops_2_conv2_d_8h_source.html +++ b/compiler_2ann-ref_2src_2ops_2_conv2_d_8h_source.html @@ -126,7 +126,7 @@
    27 int32_t stride_width, int32_t stride_height, Shape *output);
    28
    29#endif // __OP_CONV_2D_H__
    -
    bool convPrepare(const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, Shape *output)
    Definition Conv2D.cpp:23
    +
    bool convPrepare(const Shape &input, const Shape &filter, const Shape &bias, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, Shape *output)
    Definition Conv2D.cpp:23
    Definition Shape.h:28

    diff --git a/compiler_2ann-ref_2src_2ops_2_relu6_8cpp.html b/compiler_2ann-ref_2src_2ops_2_re_l_u6_8cpp.html similarity index 91% rename from compiler_2ann-ref_2src_2ops_2_relu6_8cpp.html rename to compiler_2ann-ref_2src_2ops_2_re_l_u6_8cpp.html index fb280b47dac..808f8012c0e 100644 --- a/compiler_2ann-ref_2src_2ops_2_relu6_8cpp.html +++ b/compiler_2ann-ref_2src_2ops_2_re_l_u6_8cpp.html @@ -63,7 +63,7 @@
    @@ -97,11 +97,11 @@
    #include "ReLU6.h"
    #include "internal/Elementwise.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    bool relu6Prepare (const Shape &input, Shape *output)
    bool relu6Prepare (const Shape &input, Shape *output)
     

    Function Documentation

    @@ -131,7 +131,7 @@

    -

    Definition at line 22 of file ReLU6.cpp.

    +

    Definition at line 22 of file ReLU6.cpp.

    23{
    24 return genericActivationPrepare(input, output);
    25}
    @@ -146,7 +146,7 @@

    diff --git a/compiler_2ann-ref_2src_2ops_2_re_l_u6_8cpp.js b/compiler_2ann-ref_2src_2ops_2_re_l_u6_8cpp.js new file mode 100644 index 00000000000..e639610bb5d --- /dev/null +++ b/compiler_2ann-ref_2src_2ops_2_re_l_u6_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2ann_ref_2src_2ops_2_re_l_u6_8cpp = +[ + [ "relu6Prepare", "compiler_2ann-ref_2src_2ops_2_re_l_u6_8cpp.html#a0fd41189716d21145ca9896b75908baf", null ] +]; \ No newline at end of file diff --git a/compiler_2ann-ref_2src_2ops_2_relu6_8cpp_source.html b/compiler_2ann-ref_2src_2ops_2_re_l_u6_8cpp_source.html similarity index 87% rename from compiler_2ann-ref_2src_2ops_2_relu6_8cpp_source.html rename to compiler_2ann-ref_2src_2ops_2_re_l_u6_8cpp_source.html index bdf273a26d2..171ceb7a1e8 100644 --- a/compiler_2ann-ref_2src_2ops_2_relu6_8cpp_source.html +++ b/compiler_2ann-ref_2src_2ops_2_re_l_u6_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    ReLU6.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 * Copyright (C) 2017 The Android Open Source Project
    4 *
    @@ -119,13 +119,13 @@
    21
    -
    22bool relu6Prepare(const Shape &input, Shape *output)
    +
    22bool relu6Prepare(const Shape &input, Shape *output)
    23{
    24 return genericActivationPrepare(input, output);
    25}
    bool genericActivationPrepare(const Shape &input, Shape *output)
    -
    bool relu6Prepare(const Shape &input, Shape *output)
    Definition ReLU6.cpp:22
    +
    bool relu6Prepare(const Shape &input, Shape *output)
    Definition ReLU6.cpp:22
    Definition Shape.h:28
    @@ -134,7 +134,7 @@ diff --git a/compiler_2ann-ref_2src_2ops_2_re_l_u6_8h.html b/compiler_2ann-ref_2src_2ops_2_re_l_u6_8h.html index 872c6c90821..ed449ecf75b 100644 --- a/compiler_2ann-ref_2src_2ops_2_re_l_u6_8h.html +++ b/compiler_2ann-ref_2src_2ops_2_re_l_u6_8h.html @@ -130,7 +130,7 @@

    -

    Definition at line 22 of file ReLU6.cpp.

    +

    Definition at line 22 of file ReLU6.cpp.

    23{
    24 return genericActivationPrepare(input, output);
    25}
    diff --git a/compiler_2ann-ref_2src_2ops_2_re_l_u6_8h_source.html b/compiler_2ann-ref_2src_2ops_2_re_l_u6_8h_source.html index 7972bb0fc48..ec835ba9f55 100644 --- a/compiler_2ann-ref_2src_2ops_2_re_l_u6_8h_source.html +++ b/compiler_2ann-ref_2src_2ops_2_re_l_u6_8h_source.html @@ -122,7 +122,7 @@
    23bool relu6Prepare(const Shape &input, Shape *output);
    24
    25#endif // __OP_RELU6_H__
    -
    bool relu6Prepare(const Shape &input, Shape *output)
    Definition ReLU6.cpp:22
    +
    bool relu6Prepare(const Shape &input, Shape *output)
    Definition ReLU6.cpp:22
    Definition Shape.h:28

    diff --git a/compiler_2ann-ref_2src_2ops_2_relu6_8cpp.js b/compiler_2ann-ref_2src_2ops_2_relu6_8cpp.js deleted file mode 100644 index 6ce806b3677..00000000000 --- a/compiler_2ann-ref_2src_2ops_2_relu6_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2ann_ref_2src_2ops_2_relu6_8cpp = -[ - [ "relu6Prepare", "compiler_2ann-ref_2src_2ops_2_relu6_8cpp.html#a0fd41189716d21145ca9896b75908baf", null ] -]; \ No newline at end of file diff --git a/compiler_2ann-ref_2src_2ops_2conv2d_8cpp.js b/compiler_2ann-ref_2src_2ops_2conv2d_8cpp.js deleted file mode 100644 index f9f59abec56..00000000000 --- a/compiler_2ann-ref_2src_2ops_2conv2d_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2ann_ref_2src_2ops_2conv2d_8cpp = -[ - [ "convPrepare", "compiler_2ann-ref_2src_2ops_2conv2d_8cpp.html#a030679d33d1c455aa2538feee0956681", null ] -]; \ No newline at end of file diff --git a/compiler_2ann-ref_2src_2ops_2internal_2_elementwise_8h.html b/compiler_2ann-ref_2src_2ops_2internal_2_elementwise_8h.html index 53545fedbce..98d95feeae4 100644 --- a/compiler_2ann-ref_2src_2ops_2internal_2_elementwise_8h.html +++ b/compiler_2ann-ref_2src_2ops_2internal_2_elementwise_8h.html @@ -141,7 +141,7 @@

    References ASSERT, getNumberOfDimensions(), and SetShape().

    -

    Referenced by relu6Prepare(), reluPrepare(), and softmaxPrepare().

    +

    Referenced by relu6Prepare(), reluPrepare(), and softmaxPrepare().

    diff --git a/compiler_2caffegen_2src_2_driver_8cpp_source.html b/compiler_2caffegen_2src_2_driver_8cpp_source.html index 8135a46bc32..a2381b24e5a 100644 --- a/compiler_2caffegen_2src_2_driver_8cpp_source.html +++ b/compiler_2caffegen_2src_2_driver_8cpp_source.html @@ -127,7 +127,7 @@
    28using std::make_unique;
    29
    -
    30int main(int argc, char **argv)
    +
    30int main(int argc, char **argv)
    31{
    32 cli::App app{argv[0]};
    33
    @@ -147,7 +147,7 @@
    Definition App.h:30
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/compiler_2circle-opselector_2driver_2_driver_8cpp.html b/compiler_2circle-opselector_2driver_2_driver_8cpp.html index 53f4d1ee425..f7901dbd660 100644 --- a/compiler_2circle-opselector_2driver_2_driver_8cpp.html +++ b/compiler_2circle-opselector_2driver_2_driver_8cpp.html @@ -187,36 +187,35 @@

    80 auto module = opselector::getModule(input_path);
    81
    82 // TODO support two or more subgraphs
    -
    83 if (module.get()->size() != 1)
    +
    83 if (module.get()->size() > 1)
    84 {
    -
    85 std::cerr << "ERROR: Not support two or more subgraphs" << std::endl;
    -
    86 return EXIT_FAILURE;
    -
    87 }
    -
    88
    -
    89 opselector::OpSelector op_selector{module.get()};
    -
    90
    -
    91 std::unique_ptr<luci::Module> new_module;
    -
    92 std::string operator_input;
    -
    93
    -
    94 if (arser["--by_id"])
    -
    95 {
    -
    96 operator_input = arser.get<std::string>("--by_id");
    -
    97 new_module = op_selector.select_by<opselector::SelectType::ID>(operator_input);
    -
    98 }
    -
    99 if (arser["--by_name"])
    -
    100 {
    -
    101 operator_input = arser.get<std::string>("--by_name");
    -
    102 new_module = op_selector.select_by<opselector::SelectType::NAME>(operator_input);
    -
    103 }
    -
    104
    -
    105 if (not opselector::exportModule(new_module.get(), output_path))
    -
    106 {
    -
    107 std::cerr << "ERROR: Cannot export the module" << std::endl;
    -
    108 return EXIT_FAILURE;
    -
    109 }
    -
    110
    -
    111 return 0;
    -
    112}
    +
    85 std::cout << "WARNING: Only first subgraph's operators will be selected" << std::endl;
    +
    86 }
    +
    87
    +
    88 opselector::OpSelector op_selector{module.get()};
    +
    89
    +
    90 std::unique_ptr<luci::Module> new_module;
    +
    91 std::string operator_input;
    +
    92
    +
    93 if (arser["--by_id"])
    +
    94 {
    +
    95 operator_input = arser.get<std::string>("--by_id");
    +
    96 new_module = op_selector.select_by<opselector::SelectType::ID>(operator_input);
    +
    97 }
    +
    98 if (arser["--by_name"])
    +
    99 {
    +
    100 operator_input = arser.get<std::string>("--by_name");
    +
    101 new_module = op_selector.select_by<opselector::SelectType::NAME>(operator_input);
    +
    102 }
    +
    103
    +
    104 if (not opselector::exportModule(new_module.get(), output_path))
    +
    105 {
    +
    106 std::cerr << "ERROR: Cannot export the module" << std::endl;
    +
    107 return EXIT_FAILURE;
    +
    108 }
    +
    109
    +
    110 return 0;
    +
    111}
    static void add_version(Arser &arser, const std::function< void(void)> &func)
    Definition arser.h:733
    diff --git a/compiler_2circle-opselector_2driver_2_driver_8cpp_source.html b/compiler_2circle-opselector_2driver_2_driver_8cpp_source.html index b299a9b1287..b3b07e65c06 100644 --- a/compiler_2circle-opselector_2driver_2_driver_8cpp_source.html +++ b/compiler_2circle-opselector_2driver_2_driver_8cpp_source.html @@ -182,36 +182,35 @@
    80 auto module = opselector::getModule(input_path);
    81
    82 // TODO support two or more subgraphs
    -
    83 if (module.get()->size() != 1)
    +
    83 if (module.get()->size() > 1)
    84 {
    -
    85 std::cerr << "ERROR: Not support two or more subgraphs" << std::endl;
    -
    86 return EXIT_FAILURE;
    -
    87 }
    -
    88
    -
    89 opselector::OpSelector op_selector{module.get()};
    -
    90
    -
    91 std::unique_ptr<luci::Module> new_module;
    -
    92 std::string operator_input;
    -
    93
    -
    94 if (arser["--by_id"])
    -
    95 {
    -
    96 operator_input = arser.get<std::string>("--by_id");
    -
    97 new_module = op_selector.select_by<opselector::SelectType::ID>(operator_input);
    -
    98 }
    -
    99 if (arser["--by_name"])
    -
    100 {
    -
    101 operator_input = arser.get<std::string>("--by_name");
    -
    102 new_module = op_selector.select_by<opselector::SelectType::NAME>(operator_input);
    -
    103 }
    -
    104
    -
    105 if (not opselector::exportModule(new_module.get(), output_path))
    -
    106 {
    -
    107 std::cerr << "ERROR: Cannot export the module" << std::endl;
    -
    108 return EXIT_FAILURE;
    -
    109 }
    -
    110
    -
    111 return 0;
    -
    112}
    +
    85 std::cout << "WARNING: Only first subgraph's operators will be selected" << std::endl;
    +
    86 }
    +
    87
    +
    88 opselector::OpSelector op_selector{module.get()};
    +
    89
    +
    90 std::unique_ptr<luci::Module> new_module;
    +
    91 std::string operator_input;
    +
    92
    +
    93 if (arser["--by_id"])
    +
    94 {
    +
    95 operator_input = arser.get<std::string>("--by_id");
    +
    96 new_module = op_selector.select_by<opselector::SelectType::ID>(operator_input);
    +
    97 }
    +
    98 if (arser["--by_name"])
    +
    99 {
    +
    100 operator_input = arser.get<std::string>("--by_name");
    +
    101 new_module = op_selector.select_by<opselector::SelectType::NAME>(operator_input);
    +
    102 }
    +
    103
    +
    104 if (not opselector::exportModule(new_module.get(), output_path))
    +
    105 {
    +
    106 std::cerr << "ERROR: Cannot export the module" << std::endl;
    +
    107 return EXIT_FAILURE;
    +
    108 }
    +
    109
    +
    110 return 0;
    +
    111}
    diff --git a/compiler_2circlechef_2core_2src_2_convert_8h.html b/compiler_2circlechef_2core_2src_2_convert_8h.html index 39f81c38a30..9c5b8671a0f 100644 --- a/compiler_2circlechef_2core_2src_2_convert_8h.html +++ b/compiler_2circlechef_2core_2src_2_convert_8h.html @@ -149,7 +149,7 @@

    50 throw std::runtime_error{"Unknown activation"};
    51}
    -

    Referenced by BCQFullyConnectedChef::value(), GRUChef::value(), and InstanceNormChef::value().

    +

    Referenced by BCQFullyConnectedChef::value(), FullyConnectedChef::value(), GRUChef::value(), and InstanceNormChef::value().

    @@ -208,22 +208,22 @@

    56 {
    57 case circlechef::FLOAT32:
    58 return circle::TensorType_FLOAT32;
    -
    59 case circlechef::INT32:
    -
    60 return circle::TensorType_INT32;
    -
    61 case circlechef::UINT8:
    -
    62 return circle::TensorType_UINT8;
    -
    63 case circlechef::UINT4:
    -
    64 return circle::TensorType_UINT4;
    -
    65 case circlechef::INT64:
    -
    66 return circle::TensorType_INT64;
    -
    67 case circlechef::STRING:
    -
    68 return circle::TensorType_STRING;
    -
    69 case circlechef::BOOL:
    -
    70 return circle::TensorType_BOOL;
    -
    71 case circlechef::INT16:
    -
    72 return circle::TensorType_INT16;
    -
    73 case circlechef::INT4:
    -
    74 return circle::TensorType_INT4;
    +
    59 case circlechef::INT64:
    +
    60 return circle::TensorType_INT64;
    +
    61 case circlechef::INT32:
    +
    62 return circle::TensorType_INT32;
    +
    63 case circlechef::INT16:
    +
    64 return circle::TensorType_INT16;
    +
    65 case circlechef::INT4:
    +
    66 return circle::TensorType_INT4;
    +
    67 case circlechef::UINT8:
    +
    68 return circle::TensorType_UINT8;
    +
    69 case circlechef::UINT4:
    +
    70 return circle::TensorType_UINT4;
    +
    71 case circlechef::STRING:
    +
    72 return circle::TensorType_STRING;
    +
    73 case circlechef::BOOL:
    +
    74 return circle::TensorType_BOOL;
    75 default:
    76 break;
    77 }
    diff --git a/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8cpp.html b/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8cpp.html new file mode 100644 index 00000000000..3842d7252f1 --- /dev/null +++ b/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8cpp.html @@ -0,0 +1,110 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/circlechef/core/src/Op/FullyConnected.cpp File Reference + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + + + + diff --git a/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8cpp_source.html b/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8cpp_source.html new file mode 100644 index 00000000000..b08c752db57 --- /dev/null +++ b/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8cpp_source.html @@ -0,0 +1,163 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/circlechef/core/src/Op/FullyConnected.cpp Source File + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +
    FullyConnected.cpp
    +
    +
    +Go to the documentation of this file.
    1/*
    +
    2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
    +
    3 *
    +
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    +
    5 * you may not use this file except in compliance with the License.
    +
    6 * You may obtain a copy of the License at
    +
    7 *
    +
    8 * http://www.apache.org/licenses/LICENSE-2.0
    +
    9 *
    +
    10 * Unless required by applicable law or agreed to in writing, software
    +
    11 * distributed under the License is distributed on an "AS IS" BASIS,
    +
    12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    +
    13 * See the License for the specific language governing permissions and
    +
    14 * limitations under the License.
    +
    15 */
    +
    16
    +
    17#include "FullyConnected.h"
    +
    18#include "Convert.h"
    +
    19
    +
    20#include <cassert>
    +
    21
    +
    + +
    23{
    +
    24 auto &operation = (*_operation);
    +
    25
    +
    26 assert(operation.has_fullyconnected_options());
    +
    27
    +
    28 auto circle_activation = as_circle_activation(operation.fullyconnected_options().activation());
    +
    29
    +
    30 circle::FullyConnectedOptionsBuilder fc_options_builder{fbb};
    +
    31 fc_options_builder.add_fused_activation_function(circle_activation);
    +
    32 fc_options_builder.add_keep_num_dims(operation.fullyconnected_options().keep_num_dims());
    +
    33
    +
    34 return fc_options_builder.Finish().Union();
    +
    35}
    +
    +
    36
    +
    37std::unique_ptr<OpChef>
    +
    +
    38FullyConnectedChefFactory::create(const circlechef::Operation *operation) const
    +
    39{
    +
    40 return std::unique_ptr<OpChef>{new FullyConnectedChef{operation}};
    +
    41}
    +
    +
    circle::ActivationFunctionType as_circle_activation(const circlechef::Activation &value)
    Definition Convert.cpp:36
    + +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    +
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    +
    void Finish(Offset< T > root, const char *file_identifier=nullptr)
    Finish serializing a buffer by writing the root offset.
    + +
    std::unique_ptr< OpChef > create(const circlechef::Operation *operation) const override
    + +
    +
    + + + + diff --git a/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8h.html b/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8h.html new file mode 100644 index 00000000000..c3c27787a81 --- /dev/null +++ b/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8h.html @@ -0,0 +1,118 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/circlechef/core/src/Op/FullyConnected.h File Reference + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    + +
    FullyConnected.h File Reference
    +
    +
    +
    #include "OpChef.h"
    +
    +

    Go to the source code of this file.

    + + + + + + +

    +Data Structures

    class  FullyConnectedChef
     
    struct  FullyConnectedChefFactory
     
    +
    +
    + + + + diff --git a/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8h.js b/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8h.js new file mode 100644 index 00000000000..c31a8d67e84 --- /dev/null +++ b/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8h.js @@ -0,0 +1,5 @@ +var compiler_2circlechef_2core_2src_2_op_2_fully_connected_8h = +[ + [ "FullyConnectedChef", "class_fully_connected_chef.html", "class_fully_connected_chef" ], + [ "FullyConnectedChefFactory", "struct_fully_connected_chef_factory.html", "struct_fully_connected_chef_factory" ] +]; \ No newline at end of file diff --git a/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8h_source.html b/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8h_source.html new file mode 100644 index 00000000000..d5b03a79445 --- /dev/null +++ b/compiler_2circlechef_2core_2src_2_op_2_fully_connected_8h_source.html @@ -0,0 +1,183 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/circlechef/core/src/Op/FullyConnected.h Source File + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +
    FullyConnected.h
    +
    +
    +Go to the documentation of this file.
    1/*
    +
    2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
    +
    3 *
    +
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    +
    5 * you may not use this file except in compliance with the License.
    +
    6 * You may obtain a copy of the License at
    +
    7 *
    +
    8 * http://www.apache.org/licenses/LICENSE-2.0
    +
    9 *
    +
    10 * Unless required by applicable law or agreed to in writing, software
    +
    11 * distributed under the License is distributed on an "AS IS" BASIS,
    +
    12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    +
    13 * See the License for the specific language governing permissions and
    +
    14 * limitations under the License.
    +
    15 */
    +
    16
    +
    17#ifndef __OP_FULLYCONNECTED_H__
    +
    18#define __OP_FULLYCONNECTED_H__
    +
    19
    +
    20#include "OpChef.h"
    +
    21
    +
    +
    22class FullyConnectedChef final : public OpChef
    +
    23{
    +
    24public:
    +
    +
    25 explicit FullyConnectedChef(const circlechef::Operation *operation) : _operation{operation}
    +
    26 {
    +
    27 // DO NOTHING
    +
    28 }
    +
    +
    29
    +
    30public:
    +
    +
    31 circle::BuiltinOperator code(void) const override
    +
    32 {
    +
    33 return circle::BuiltinOperator_FULLY_CONNECTED;
    +
    34 }
    +
    +
    35
    +
    +
    36 circle::BuiltinOptions type(void) const override
    +
    37 {
    +
    38 return circle::BuiltinOptions_FullyConnectedOptions;
    +
    39 }
    +
    +
    40
    + +
    42
    +
    43private:
    +
    44 const circlechef::Operation *_operation;
    +
    45};
    +
    +
    46
    +
    + +
    48{
    +
    49 std::unique_ptr<OpChef> create(const circlechef::Operation *operation) const override;
    +
    50};
    +
    +
    51
    +
    52#endif // __OP_FULLYCONNECTED_H__
    + +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    +
    circle::BuiltinOperator code(void) const override
    +
    circle::BuiltinOptions type(void) const override
    +
    FullyConnectedChef(const circlechef::Operation *operation)
    +
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    + +
    std::unique_ptr< OpChef > create(const circlechef::Operation *operation) const override
    + + + +
    +
    + + + + diff --git a/compiler_2coco_2core_2src_2_i_r_2conv2d_8cpp.html b/compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp.html similarity index 95% rename from compiler_2coco_2core_2src_2_i_r_2conv2d_8cpp.html rename to compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp.html index 1b2039bf56d..bc93366c8c7 100644 --- a/compiler_2coco_2core_2src_2_i_r_2conv2d_8cpp.html +++ b/compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -97,7 +97,7 @@
    #include "coco/IR/Ops.h"
    #include <pepper/assert.h>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -109,7 +109,7 @@ diff --git a/compiler_2coco_2core_2src_2_i_r_2conv2d_8cpp_source.html b/compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp_source.html similarity index 96% rename from compiler_2coco_2core_2src_2_i_r_2conv2d_8cpp_source.html rename to compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp_source.html index 204c8c2afbf..b0812146cf3 100644 --- a/compiler_2coco_2core_2src_2_i_r_2conv2d_8cpp_source.html +++ b/compiler_2coco_2core_2src_2_i_r_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -181,11 +181,11 @@
    74
    75} // namespace coco
    -
    std::set< Object * > uses(void) const override
    Return a set of object(s) used during execution.
    Definition Conv2D.cpp:42
    -
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    +
    std::set< Object * > uses(void) const override
    Return a set of object(s) used during execution.
    Definition Conv2D.cpp:42
    +
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    Op * arg(void) const
    Definition Ops.h:95
    - -
    uint32_t arity(void) const final
    Return the number of arguments (# of child Ops)
    Definition Conv2D.cpp:29
    + +
    uint32_t arity(void) const final
    Return the number of arguments (# of child Ops)
    Definition Conv2D.cpp:29
    Convolution Kernel (in CNN) values.
    Object * value(void) const
    Definition Use.h:37
    @@ -197,7 +197,7 @@ diff --git a/compiler_2dalgona_2src_2_utils_8cpp.html b/compiler_2dalgona_2src_2_utils_8cpp.html index 5d5dee706fa..004d8bdc9ed 100644 --- a/compiler_2dalgona_2src_2_utils_8cpp.html +++ b/compiler_2dalgona_2src_2_utils_8cpp.html @@ -100,7 +100,7 @@
    #include "Utils.h"
    #include "StringUtils.h"
    #include <luci_interpreter/core/Tensor.h>
    -#include <luci/IR/CircleOpcode.h>
    +#include <luci/IR/CircleOpcode.h>
    #include <luci/IR/CircleNodeDecl.h>
    #include <pybind11/numpy.h>
    #include <stdexcept>
    diff --git a/compiler_2dalgona_2src_2_utils_8cpp_source.html b/compiler_2dalgona_2src_2_utils_8cpp_source.html index 4b6bbddd690..37fdad70916 100644 --- a/compiler_2dalgona_2src_2_utils_8cpp_source.html +++ b/compiler_2dalgona_2src_2_utils_8cpp_source.html @@ -117,7 +117,7 @@
    18#include "StringUtils.h"
    19
    20#include <luci_interpreter/core/Tensor.h>
    - +
    23
    24#include <pybind11/numpy.h>
    @@ -314,7 +314,7 @@
    #define THROW_UNLESS(COND, MSG)
    Definition Utils.cpp:33
    - +
    std::vector< py::dict > inputsPyArray(const luci::CircleNode *node, luci_interpreter::Interpreter *interpreter)
    Definition Utils.cpp:107
    const std::string toString(luci::CircleOpcode opcode)
    diff --git a/compiler_2enco_2cli_2src_2_driver_8cpp_source.html b/compiler_2enco_2cli_2src_2_driver_8cpp_source.html index a7adb2fcc85..3f6f1e204e8 100644 --- a/compiler_2enco_2cli_2src_2_driver_8cpp_source.html +++ b/compiler_2enco_2cli_2src_2_driver_8cpp_source.html @@ -300,7 +300,7 @@
    197}
    198
    199#ifdef NDEBUG
    -
    200int main(int argc, char **argv)
    +
    200int main(int argc, char **argv)
    201{
    202 try
    203 {
    @@ -315,7 +315,7 @@
    212}
    213#else // NDEBUG
    -
    214int main(int argc, char **argv)
    +
    214int main(int argc, char **argv)
    215{
    216 // NOTE main does not catch internal exceptions for debug build to make it easy to
    217 // check the stacktrace with a debugger
    @@ -338,7 +338,7 @@ -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/compiler_2enco_2frontend_2tflite_2src_2_op_2_concatenation_8cpp_source.html b/compiler_2enco_2frontend_2tflite_2src_2_op_2_concatenation_8cpp_source.html index d4eca7f7836..80bc959ecf2 100644 --- a/compiler_2enco_2frontend_2tflite_2src_2_op_2_concatenation_8cpp_source.html +++ b/compiler_2enco_2frontend_2tflite_2src_2_op_2_concatenation_8cpp_source.html @@ -390,7 +390,7 @@
    loco::FeatureShape as_feature_shape(const loco::NodeShape &nodeshape, const TFDataLayout &data_layout)
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    std::vector< int32_t > IndexVector
    Definition Convert.h:29
    diff --git a/compiler_2enco_2frontend_2tflite_2src_2_op_2conv2d_8cpp.html b/compiler_2enco_2frontend_2tflite_2src_2_op_2_conv2_d_8cpp.html similarity index 96% rename from compiler_2enco_2frontend_2tflite_2src_2_op_2conv2d_8cpp.html rename to compiler_2enco_2frontend_2tflite_2src_2_op_2_conv2_d_8cpp.html index dd58c4a4752..9334522950e 100644 --- a/compiler_2enco_2frontend_2tflite_2src_2_op_2conv2d_8cpp.html +++ b/compiler_2enco_2frontend_2tflite_2src_2_op_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -108,7 +108,7 @@ #include <schema_generated.h>
    #include <cassert>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -120,7 +120,7 @@ diff --git a/compiler_2enco_2frontend_2tflite_2src_2_op_2conv2d_8cpp_source.html b/compiler_2enco_2frontend_2tflite_2src_2_op_2_conv2_d_8cpp_source.html similarity index 98% rename from compiler_2enco_2frontend_2tflite_2src_2_op_2conv2d_8cpp_source.html rename to compiler_2enco_2frontend_2tflite_2src_2_op_2_conv2_d_8cpp_source.html index 99627be3ece..549294488a8 100644 --- a/compiler_2enco_2frontend_2tflite_2src_2_op_2conv2d_8cpp_source.html +++ b/compiler_2enco_2frontend_2tflite_2src_2_op_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -297,7 +297,7 @@
    A unit of (grouped) instructions.
    Definition Block.h:40
    InstrList * instr(void)
    Definition Block.h:65
    2D Convolution over 3D Feature Map with 4D kernel
    Definition Ops.h:74
    -
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    +
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    void append(Child *child)
    static std::unique_ptr< BC > create(const nncc::core::ADT::feature::Shape &shape)
    static std::unique_ptr< BHWC > create(const nncc::core::ADT::feature::Shape &shape)
    @@ -312,8 +312,8 @@
    uint32_t top(void) const
    Definition Padding2D.h:41
    uint32_t bottom(void) const
    Definition Padding2D.h:45
    -
    bool validate(const tflite::Operator *op) const override
    Definition Conv2D.cpp:41
    -
    void build(const tflite::Operator *op, GraphBuilderContext *context) const override
    Definition Conv2D.cpp:53
    +
    bool validate(const tflite::Operator *op) const override
    Definition Conv2D.cpp:41
    +
    void build(const tflite::Operator *op, GraphBuilderContext *context) const override
    Definition Conv2D.cpp:53
    Class to store context to build IR from tflite.
    Definition Context.h:133
    TensorContext & tensor()
    Definition Context.h:152
    @@ -347,7 +347,7 @@ diff --git a/compiler_2enco_2frontend_2tflite_2src_2_op_2_conv2_d_8h_source.html b/compiler_2enco_2frontend_2tflite_2src_2_op_2_conv2_d_8h_source.html index a9208e3a606..33a72817634 100644 --- a/compiler_2enco_2frontend_2tflite_2src_2_op_2_conv2_d_8h_source.html +++ b/compiler_2enco_2frontend_2tflite_2src_2_op_2_conv2_d_8h_source.html @@ -136,8 +136,8 @@
    38
    39#endif // __OP_CONV2D_H__
    GraphBuilder for Conv2D operator.
    Definition Conv2D.h:31
    -
    bool validate(const tflite::Operator *op) const override
    Definition Conv2D.cpp:41
    -
    void build(const tflite::Operator *op, GraphBuilderContext *context) const override
    Definition Conv2D.cpp:53
    +
    bool validate(const tflite::Operator *op) const override
    Definition Conv2D.cpp:41
    +
    void build(const tflite::Operator *op, GraphBuilderContext *context) const override
    Definition Conv2D.cpp:53
    Class to store context to build IR from tflite.
    Definition Context.h:133
    Parent class of tflite operation graph builders (e.g., Conv2DGraphBuilder)
    diff --git a/compiler_2enco_2frontend_2tflite_2src_2_op_2_depthwise_conv2_d_8cpp_source.html b/compiler_2enco_2frontend_2tflite_2src_2_op_2_depthwise_conv2_d_8cpp_source.html index 0ba68867a9b..81a513d1505 100644 --- a/compiler_2enco_2frontend_2tflite_2src_2_op_2_depthwise_conv2_d_8cpp_source.html +++ b/compiler_2enco_2frontend_2tflite_2src_2_op_2_depthwise_conv2_d_8cpp_source.html @@ -346,7 +346,7 @@
    A unit of (grouped) instructions.
    Definition Block.h:40
    InstrList * instr(void)
    Definition Block.h:65
    2D Convolution over 3D Feature Map with 4D kernel
    Definition Ops.h:74
    -
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    +
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    void append(Child *child)
    static std::unique_ptr< BC > create(const nncc::core::ADT::feature::Shape &shape)
    static std::unique_ptr< BHWC > create(const nncc::core::ADT::feature::Shape &shape)
    diff --git a/compiler_2enco_2frontend_2tflite_2src_2_op_2_relu6_8cpp.html b/compiler_2enco_2frontend_2tflite_2src_2_op_2_re_l_u6_8cpp.html similarity index 95% rename from compiler_2enco_2frontend_2tflite_2src_2_op_2_relu6_8cpp.html rename to compiler_2enco_2frontend_2tflite_2src_2_op_2_re_l_u6_8cpp.html index b0e21031cbe..98135c24c41 100644 --- a/compiler_2enco_2frontend_2tflite_2src_2_op_2_relu6_8cpp.html +++ b/compiler_2enco_2frontend_2tflite_2src_2_op_2_re_l_u6_8cpp.html @@ -63,7 +63,7 @@
    @@ -104,7 +104,7 @@ #include <schema_generated.h>
    #include <cassert>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -116,7 +116,7 @@ diff --git a/compiler_2enco_2frontend_2tflite_2src_2_op_2_relu6_8cpp_source.html b/compiler_2enco_2frontend_2tflite_2src_2_op_2_re_l_u6_8cpp_source.html similarity index 98% rename from compiler_2enco_2frontend_2tflite_2src_2_op_2_relu6_8cpp_source.html rename to compiler_2enco_2frontend_2tflite_2src_2_op_2_re_l_u6_8cpp_source.html index f348699567e..c9f9545c987 100644 --- a/compiler_2enco_2frontend_2tflite_2src_2_op_2_relu6_8cpp_source.html +++ b/compiler_2enco_2frontend_2tflite_2src_2_op_2_re_l_u6_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    ReLU6.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -212,7 +212,7 @@ -
    void build(const tflite::Operator *op, GraphBuilderContext *) const override
    Definition ReLU6.cpp:37
    +
    void build(const tflite::Operator *op, GraphBuilderContext *) const override
    Definition ReLU6.cpp:37
    Pre-creates coco:Bags for each operands(tensors)
    Definition TensorBags.h:38
    coco::Bag * bag(int32_t tensor_id)
    Definition TensorBags.h:52
    Extracts and holds operand(tensor) information such as name, shape, and type.
    Definition Context.h:39
    @@ -232,7 +232,7 @@ diff --git a/compiler_2enco_2frontend_2tflite_2src_2_op_2_re_l_u6_8h_source.html b/compiler_2enco_2frontend_2tflite_2src_2_op_2_re_l_u6_8h_source.html index f683f7ab38c..2a726039d2e 100644 --- a/compiler_2enco_2frontend_2tflite_2src_2_op_2_re_l_u6_8h_source.html +++ b/compiler_2enco_2frontend_2tflite_2src_2_op_2_re_l_u6_8h_source.html @@ -137,7 +137,7 @@
    Class to store context to build IR from tflite.
    Definition Context.h:133
    Parent class of tflite operation graph builders (e.g., Conv2DGraphBuilder)
    GraphBuilder for ReLU6 operator.
    Definition ReLU6.h:31
    -
    void build(const tflite::Operator *op, GraphBuilderContext *) const override
    Definition ReLU6.cpp:37
    +
    void build(const tflite::Operator *op, GraphBuilderContext *) const override
    Definition ReLU6.cpp:37
    diff --git a/compiler_2locomotiv_2src_2_node_2conv2d_8cpp.html b/compiler_2locomotiv_2src_2_node_2_conv2_d_8cpp.html similarity index 96% rename from compiler_2locomotiv_2src_2_node_2conv2d_8cpp.html rename to compiler_2locomotiv_2src_2_node_2_conv2_d_8cpp.html index 7c05d8a6102..4bb248ae901 100644 --- a/compiler_2locomotiv_2src_2_node_2conv2d_8cpp.html +++ b/compiler_2locomotiv_2src_2_node_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -106,7 +106,7 @@ #include <cassert>
    #include <stdexcept>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -118,7 +118,7 @@ diff --git a/compiler_2locomotiv_2src_2_node_2conv2d_8cpp_source.html b/compiler_2locomotiv_2src_2_node_2_conv2_d_8cpp_source.html similarity index 99% rename from compiler_2locomotiv_2src_2_node_2conv2d_8cpp_source.html rename to compiler_2locomotiv_2src_2_node_2_conv2_d_8cpp_source.html index 818d63a88ca..409ac2fbefe 100644 --- a/compiler_2locomotiv_2src_2_node_2conv2d_8cpp_source.html +++ b/compiler_2locomotiv_2src_2_node_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 * Copyright 2018 The TensorFlow Authors. All Rights Reserved.
    4 *
    @@ -321,7 +321,7 @@ diff --git a/compiler_2locomotiv_2src_2_node_2_relu6_8cpp.html b/compiler_2locomotiv_2src_2_node_2_re_l_u6_8cpp.html similarity index 95% rename from compiler_2locomotiv_2src_2_node_2_relu6_8cpp.html rename to compiler_2locomotiv_2src_2_node_2_re_l_u6_8cpp.html index bc6be74e97f..43affe324d2 100644 --- a/compiler_2locomotiv_2src_2_node_2_relu6_8cpp.html +++ b/compiler_2locomotiv_2src_2_node_2_re_l_u6_8cpp.html @@ -63,7 +63,7 @@

    Namespaces

    @@ -108,7 +108,7 @@ diff --git a/compiler_2locomotiv_2src_2_node_2_relu6_8cpp_source.html b/compiler_2locomotiv_2src_2_node_2_re_l_u6_8cpp_source.html similarity index 96% rename from compiler_2locomotiv_2src_2_node_2_relu6_8cpp_source.html rename to compiler_2locomotiv_2src_2_node_2_re_l_u6_8cpp_source.html index 1a1d1d3b5bb..be7e017f7fe 100644 --- a/compiler_2locomotiv_2src_2_node_2_relu6_8cpp_source.html +++ b/compiler_2locomotiv_2src_2_node_2_re_l_u6_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    ReLU6.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -147,7 +147,7 @@ diff --git a/compiler_2luci-interpreter_2src_2kernels_2conv2d_8cpp.html b/compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.html similarity index 95% rename from compiler_2luci-interpreter_2src_2kernels_2conv2d_8cpp.html rename to compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.html index f30b63079bd..9631594c2a3 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2conv2d_8cpp.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,7 +100,7 @@ #include <stdexcept>
    #include <thread>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -114,7 +114,7 @@ diff --git a/compiler_2luci-interpreter_2src_2kernels_2conv2d_8cpp_source.html b/compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp_source.html similarity index 99% rename from compiler_2luci-interpreter_2src_2kernels_2conv2d_8cpp_source.html rename to compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp_source.html index cefaf034618..06fca945e60 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2conv2d_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 * Copyright 2019 The TensorFlow Authors. All Rights Reserved.
    4 *
    @@ -574,11 +574,11 @@
    const std::vector< int32_t > & zero_points() const
    Definition Tensor.h:123
    int32_t zero_point() const
    Definition Tensor.h:115
    const Tensor * input() const
    Definition Conv2D.h:36
    -
    Conv2D(const Tensor *input, const Tensor *filter, const Tensor *bias, Tensor *output, Tensor *scratchpad, const Conv2DParams &params)
    Definition Conv2D.cpp:32
    +
    Conv2D(const Tensor *input, const Tensor *filter, const Tensor *bias, Tensor *output, Tensor *scratchpad, const Conv2DParams &params)
    Definition Conv2D.cpp:32
    - +
    const Tensor * bias() const
    Definition Conv2D.h:38
    -
    void execute() const override
    Definition Conv2D.cpp:136
    +
    void execute() const override
    Definition Conv2D.cpp:136
    const Tensor * filter() const
    Definition Conv2D.h:37
    #define LUCI_INTERPRETER_CHECK(cond)
    Definition Utils.h:36
    @@ -609,7 +609,7 @@ diff --git a/compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8h_source.html b/compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8h_source.html index 6bd3b574df6..0dbdb6c0dd5 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8h_source.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8h_source.html @@ -168,9 +168,9 @@
    const Tensor * input() const
    Definition Conv2D.h:36
    - +
    const Tensor * bias() const
    Definition Conv2D.h:38
    -
    void execute() const override
    Definition Conv2D.cpp:136
    +
    void execute() const override
    Definition Conv2D.cpp:136
    const Tensor * filter() const
    Definition Conv2D.h:37
    diff --git a/compiler_2luci-interpreter_2src_2kernels_2_elu_8cpp.html b/compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.html similarity index 95% rename from compiler_2luci-interpreter_2src_2kernels_2_elu_8cpp.html rename to compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.html index 7b70bd7aa7a..1854b6454ae 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_elu_8cpp.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.html @@ -63,7 +63,7 @@
    @@ -99,7 +99,7 @@ #include "PALElu.h"
    #include <stdexcept>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -113,7 +113,7 @@ diff --git a/compiler_2luci-interpreter_2src_2kernels_2_elu_8cpp_source.html b/compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp_source.html similarity index 96% rename from compiler_2luci-interpreter_2src_2kernels_2_elu_8cpp_source.html rename to compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp_source.html index fc4effbbac9..5c39a6bfe76 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_elu_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Elu.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -156,10 +156,10 @@
    void resize(const Shape &new_shape)
    Definition Tensor.cpp:56
    -
    void execute() const override
    Definition Elu.cpp:38
    -
    void configure() override
    Definition Elu.cpp:32
    +
    void execute() const override
    Definition Elu.cpp:38
    +
    void configure() override
    Definition Elu.cpp:32
    Tensor * output() const
    Definition Elu.h:34
    -
    Elu(const Tensor *input, Tensor *output)
    Definition Elu.cpp:30
    +
    Elu(const Tensor *input, Tensor *output)
    Definition Elu.cpp:30
    const Tensor * input() const
    Definition Elu.h:33
    #define LUCI_INTERPRETER_CHECK(cond)
    Definition Utils.h:36
    @@ -170,7 +170,7 @@ diff --git a/compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8h_source.html b/compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8h_source.html index 92e375e5dba..1ea7687835f 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8h_source.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8h_source.html @@ -149,8 +149,8 @@
    const std::vector< Tensor * > _outputs
    Definition Kernel.h:53
    -
    void execute() const override
    Definition Elu.cpp:38
    -
    void configure() override
    Definition Elu.cpp:32
    +
    void execute() const override
    Definition Elu.cpp:38
    +
    void configure() override
    Definition Elu.cpp:32
    Tensor * output() const
    Definition Elu.h:34
    const Tensor * input() const
    Definition Elu.h:33
    diff --git a/compiler_2luci-interpreter_2src_2kernels_2_fully_connected_8cpp_source.html b/compiler_2luci-interpreter_2src_2kernels_2_fully_connected_8cpp_source.html index 4d4164ebae2..b6d762ca6a8 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_fully_connected_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_fully_connected_8cpp_source.html @@ -163,181 +163,299 @@
    61 LUCI_INTERPRETER_CHECK(output()->element_type() == DataType::FLOAT32);
    62 LUCI_INTERPRETER_CHECK(!bias() || bias()->element_type() == DataType::FLOAT32)
    63 }
    -
    64 else
    +
    64 else if (weights()->element_type() == DataType::U4)
    65 {
    -
    66 throw std::runtime_error("luci-intp FullyConnected(1) Unsupported type.");
    -
    67 }
    -
    68
    -
    69 const Shape &input_shape = input()->shape();
    -
    70 const Shape &weights_shape = weights()->shape();
    -
    71
    -
    72 LUCI_INTERPRETER_CHECK(weights_shape.num_dims() == 2);
    -
    73 LUCI_INTERPRETER_CHECK(bias() == nullptr ||
    -
    74 bias()->shape().num_elements() == weights_shape.dim(0));
    +
    66 // TODO support other combinations when needed
    +
    67 LUCI_INTERPRETER_CHECK(input()->element_type() == DataType::FLOAT32);
    +
    68 LUCI_INTERPRETER_CHECK(output()->element_type() == DataType::FLOAT32);
    +
    69 LUCI_INTERPRETER_CHECK(!bias() || bias()->element_type() == DataType::FLOAT32)
    +
    70 }
    +
    71 else
    +
    72 {
    +
    73 throw std::runtime_error("luci-intp FullyConnected(1) Unsupported type.");
    +
    74 }
    75
    -
    76 LUCI_INTERPRETER_CHECK(input_shape.num_elements() % weights_shape.dim(1) == 0);
    -
    77 const int32_t batch_size = input_shape.num_elements() / weights_shape.dim(1);
    -
    78 const int32_t num_units = weights_shape.dim(0);
    -
    79
    -
    80 if (bias())
    -
    81 LUCI_INTERPRETER_CHECK(bias()->shape().num_elements() == weights()->shape().dim(0));
    +
    76 const Shape &input_shape = input()->shape();
    +
    77 const Shape &weights_shape = weights()->shape();
    +
    78
    +
    79 LUCI_INTERPRETER_CHECK(weights_shape.num_dims() == 2);
    +
    80 LUCI_INTERPRETER_CHECK(bias() == nullptr ||
    +
    81 bias()->shape().num_elements() == weights_shape.dim(0));
    82
    -
    83 if (params().keep_num_dims == false)
    -
    84 {
    -
    85 output()->resize({batch_size, num_units});
    -
    86 }
    -
    87 else
    -
    88 {
    - -
    90 for (int i = 0; i < input_shape.num_dims(); ++i)
    -
    91 output_shape.dim(i) = input_shape.dim(i);
    -
    92 output_shape.dim(input_shape.num_dims() - 1) = num_units;
    - -
    94 }
    -
    95}
    +
    83 LUCI_INTERPRETER_CHECK(input_shape.num_elements() % weights_shape.dim(1) == 0);
    +
    84 const int32_t batch_size = input_shape.num_elements() / weights_shape.dim(1);
    +
    85 const int32_t num_units = weights_shape.dim(0);
    +
    86
    +
    87 if (bias())
    +
    88 LUCI_INTERPRETER_CHECK(bias()->shape().num_elements() == weights()->shape().dim(0));
    +
    89
    +
    90 if (params().keep_num_dims == false)
    +
    91 {
    +
    92 output()->resize({batch_size, num_units});
    +
    93 }
    +
    94 else
    +
    95 {
    + +
    97 for (int i = 0; i < input_shape.num_dims(); ++i)
    +
    98 output_shape.dim(i) = input_shape.dim(i);
    +
    99 output_shape.dim(input_shape.num_dims() - 1) = num_units;
    + +
    101 }
    +
    102}
    -
    96
    -
    - -
    98{
    -
    99 const bool is_hybrid =
    -
    100 (input()->element_type() == DataType::FLOAT32 && weights()->element_type() == DataType::S4 &&
    -
    101 output()->element_type() == DataType::FLOAT32 &&
    -
    102 (!bias() || bias()->element_type() == DataType::FLOAT32));
    -
    103 if (is_hybrid)
    -
    104 {
    -
    105 evalHybridWI4AF32();
    -
    106 }
    -
    107 else
    -
    108 {
    -
    109 switch (input()->element_type())
    -
    110 {
    -
    111 case DataType::U8:
    -
    112 evalQuantized();
    -
    113 break;
    -
    114 case DataType::S8:
    -
    115 evalQuantizedS8();
    -
    116 break;
    -
    117 case DataType::FLOAT32:
    -
    118 evalFloat();
    -
    119 break;
    -
    120 default:
    -
    121 throw std::runtime_error("luci-intp FullyConnected(2) Unsupported type.");
    -
    122 }
    -
    123 }
    -
    124}
    +
    103
    +
    + +
    105{
    +
    106 const bool is_hybrid =
    +
    107 (input()->element_type() == DataType::FLOAT32 &&
    +
    108 (weights()->element_type() == DataType::S4 || weights()->element_type() == DataType::U4) &&
    +
    109 output()->element_type() == DataType::FLOAT32 &&
    +
    110 (!bias() || bias()->element_type() == DataType::FLOAT32));
    +
    111 if (is_hybrid)
    +
    112 {
    +
    113 switch (weights()->element_type())
    +
    114 {
    +
    115 case DataType::S4:
    +
    116 evalHybridWI4AF32();
    +
    117 break;
    +
    118 case DataType::U4:
    +
    119 evalHybridWU4AF32();
    +
    120 break;
    +
    121 default:
    +
    122 throw std::runtime_error("luci-intp FullyConnected(3) Unsupported type.");
    +
    123 }
    +
    124 }
    +
    125 else
    +
    126 {
    +
    127 switch (input()->element_type())
    +
    128 {
    +
    129 case DataType::U8:
    +
    130 evalQuantized();
    +
    131 break;
    +
    132 case DataType::S8:
    +
    133 evalQuantizedS8();
    +
    134 break;
    +
    135 case DataType::FLOAT32:
    +
    136 evalFloat();
    +
    137 break;
    +
    138 default:
    +
    139 throw std::runtime_error("luci-intp FullyConnected(2) Unsupported type.");
    +
    140 }
    +
    141 }
    +
    142}
    -
    125
    -
    126void FullyConnected::evalFloat() const
    -
    127{
    -
    128 float activation_min{};
    -
    129 float activation_max{};
    -
    130 calculateActivationRange(_params.activation, &activation_min, &activation_max);
    -
    131
    -
    132 tflite::FullyConnectedParams params{};
    -
    133 params.float_activation_min = activation_min;
    -
    134 params.float_activation_max = activation_max;
    -
    135 params.weights_format = tflite::FullyConnectedWeightsFormat::kDefault;
    -
    136
    -
    137 tflite::reference_ops::FullyConnected(
    -
    138 params, getTensorShape(input()), getTensorData<float>(input()), getTensorShape(weights()),
    -
    139 getTensorData<float>(weights()), getTensorShape(bias()), getTensorData<float>(bias()),
    -
    140 getTensorShape(output()), getTensorData<float>(output()));
    -
    141}
    -
    142
    -
    143void FullyConnected::evalQuantized() const
    -
    144{
    -
    145 double real_multiplier = 0.0;
    -
    146 int output_shift;
    -
    147 int32_t output_activation_min;
    -
    148 int32_t output_activation_max;
    -
    149 int32_t output_multiplier;
    -
    150 real_multiplier =
    - -
    152 quantizeMultiplier(real_multiplier, &output_multiplier, &output_shift);
    -
    153 calculateActivationRangeQuantized(params().activation, output(), &output_activation_min,
    -
    154 &output_activation_max);
    -
    155
    -
    156 int32_t input_offset = -input()->zero_point();
    -
    157 int32_t filter_offset = -weights()->zero_point();
    -
    158 int32_t output_offset = output()->zero_point();
    -
    159
    -
    160 tflite::FullyConnectedParams op_params{};
    -
    161 op_params.input_offset = input_offset;
    -
    162 op_params.weights_offset = filter_offset;
    -
    163 op_params.output_offset = output_offset;
    -
    164 op_params.output_multiplier = output_multiplier;
    -
    165 op_params.output_shift = output_shift;
    -
    166 op_params.quantized_activation_min = output_activation_min;
    -
    167 op_params.quantized_activation_max = output_activation_max;
    -
    168 op_params.lhs_cacheable = false;
    -
    169 op_params.rhs_cacheable = false;
    -
    170 tflite::reference_ops::FullyConnected(
    -
    171 op_params, getTensorShape(input()), getTensorData<uint8_t>(input()), getTensorShape(weights()),
    -
    172 getTensorData<uint8_t>(weights()), getTensorShape(bias()), getTensorData<int32_t>(bias()),
    -
    173 getTensorShape(output()), getTensorData<uint8_t>(output()));
    -
    174}
    -
    175
    -
    176void FullyConnected::evalQuantizedS8() const
    -
    177{
    -
    178 double real_multiplier = 0.0;
    -
    179 int output_shift;
    -
    180 int32_t output_activation_min;
    -
    181 int32_t output_activation_max;
    -
    182 int32_t output_multiplier;
    -
    183 real_multiplier =
    - -
    185 quantizeMultiplier(real_multiplier, &output_multiplier, &output_shift);
    -
    186 calculateActivationRangeQuantized(params().activation, output(), &output_activation_min,
    -
    187 &output_activation_max);
    -
    188
    -
    189 int32_t input_offset = -input()->zero_point();
    -
    190 int32_t filter_offset = -weights()->zero_point();
    -
    191 int32_t output_offset = output()->zero_point();
    -
    192
    -
    193 tflite::FullyConnectedParams op_params{};
    -
    194 op_params.input_offset = input_offset;
    -
    195 op_params.weights_offset = filter_offset;
    -
    196 op_params.output_offset = output_offset;
    -
    197 op_params.output_multiplier = output_multiplier;
    -
    198 op_params.output_shift = output_shift;
    -
    199 op_params.quantized_activation_min = output_activation_min;
    -
    200 op_params.quantized_activation_max = output_activation_max;
    -
    201 op_params.lhs_cacheable = false;
    -
    202 op_params.rhs_cacheable = false;
    - -
    204 op_params, getTensorShape(input()), getTensorData<int8_t>(input()), getTensorShape(weights()),
    -
    205 getTensorData<int8_t>(weights()), getTensorShape(bias()), getTensorData<int32_t>(bias()),
    -
    206 getTensorShape(output()), getTensorData<int8_t>(output()));
    -
    207}
    -
    208
    -
    209void FullyConnected::evalHybridWI4AF32() const
    -
    210{
    -
    211 float activation_min{};
    -
    212 float activation_max{};
    -
    213 calculateActivationRange(_params.activation, &activation_min, &activation_max);
    -
    214
    -
    215 tflite::FullyConnectedParams params{};
    -
    216 params.float_activation_min = activation_min;
    -
    217 params.float_activation_max = activation_max;
    -
    218 params.weights_format = tflite::FullyConnectedWeightsFormat::kDefault;
    -
    219
    -
    220 const int8_t *weights_int4 = getTensorData<int8_t>(weights());
    -
    221 float *weights_float = getTensorData<float>(scratch());
    -
    222 const Shape &weights_shape = weights()->shape();
    -
    223 for (int32_t i = 0; i < weights_shape.num_elements(); ++i)
    -
    224 {
    -
    225 // 1bit for sign, 3bit for value
    -
    226 weights_float[i] = weights()->scale() * weights_int4[i];
    -
    227 }
    -
    228 tflite::reference_ops::FullyConnected(
    -
    229 params, getTensorShape(input()), getTensorData<float>(input()), getTensorShape(scratch()),
    -
    230 getTensorData<float>(scratch()), getTensorShape(bias()), getTensorData<float>(bias()),
    -
    231 getTensorShape(output()), getTensorData<float>(output()));
    -
    232}
    -
    233
    -
    234} // namespace kernels
    -
    235} // namespace luci_interpreter
    +
    143
    +
    144void FullyConnected::evalFloat() const
    +
    145{
    +
    146 float activation_min{};
    +
    147 float activation_max{};
    +
    148 calculateActivationRange(_params.activation, &activation_min, &activation_max);
    +
    149
    +
    150 tflite::FullyConnectedParams params{};
    +
    151 params.float_activation_min = activation_min;
    +
    152 params.float_activation_max = activation_max;
    +
    153 params.weights_format = tflite::FullyConnectedWeightsFormat::kDefault;
    +
    154
    +
    155 tflite::reference_ops::FullyConnected(
    +
    156 params, getTensorShape(input()), getTensorData<float>(input()), getTensorShape(weights()),
    +
    157 getTensorData<float>(weights()), getTensorShape(bias()), getTensorData<float>(bias()),
    +
    158 getTensorShape(output()), getTensorData<float>(output()));
    +
    159}
    +
    160
    +
    161void FullyConnected::evalQuantized() const
    +
    162{
    +
    163 double real_multiplier = 0.0;
    +
    164 int output_shift;
    +
    165 int32_t output_activation_min;
    +
    166 int32_t output_activation_max;
    +
    167 int32_t output_multiplier;
    +
    168 real_multiplier =
    + +
    170 quantizeMultiplier(real_multiplier, &output_multiplier, &output_shift);
    +
    171 calculateActivationRangeQuantized(params().activation, output(), &output_activation_min,
    +
    172 &output_activation_max);
    +
    173
    +
    174 int32_t input_offset = -input()->zero_point();
    +
    175 int32_t filter_offset = -weights()->zero_point();
    +
    176 int32_t output_offset = output()->zero_point();
    +
    177
    +
    178 tflite::FullyConnectedParams op_params{};
    +
    179 op_params.input_offset = input_offset;
    +
    180 op_params.weights_offset = filter_offset;
    +
    181 op_params.output_offset = output_offset;
    +
    182 op_params.output_multiplier = output_multiplier;
    +
    183 op_params.output_shift = output_shift;
    +
    184 op_params.quantized_activation_min = output_activation_min;
    +
    185 op_params.quantized_activation_max = output_activation_max;
    +
    186 op_params.lhs_cacheable = false;
    +
    187 op_params.rhs_cacheable = false;
    +
    188 tflite::reference_ops::FullyConnected(
    +
    189 op_params, getTensorShape(input()), getTensorData<uint8_t>(input()), getTensorShape(weights()),
    +
    190 getTensorData<uint8_t>(weights()), getTensorShape(bias()), getTensorData<int32_t>(bias()),
    +
    191 getTensorShape(output()), getTensorData<uint8_t>(output()));
    +
    192}
    +
    193
    +
    194void FullyConnected::evalQuantizedS8() const
    +
    195{
    +
    196 double real_multiplier = 0.0;
    +
    197 int output_shift;
    +
    198 int32_t output_activation_min;
    +
    199 int32_t output_activation_max;
    +
    200 int32_t output_multiplier;
    +
    201 real_multiplier =
    + +
    203 quantizeMultiplier(real_multiplier, &output_multiplier, &output_shift);
    +
    204 calculateActivationRangeQuantized(params().activation, output(), &output_activation_min,
    +
    205 &output_activation_max);
    +
    206
    +
    207 int32_t input_offset = -input()->zero_point();
    +
    208 int32_t filter_offset = -weights()->zero_point();
    +
    209 int32_t output_offset = output()->zero_point();
    +
    210
    +
    211 tflite::FullyConnectedParams op_params{};
    +
    212 op_params.input_offset = input_offset;
    +
    213 op_params.weights_offset = filter_offset;
    +
    214 op_params.output_offset = output_offset;
    +
    215 op_params.output_multiplier = output_multiplier;
    +
    216 op_params.output_shift = output_shift;
    +
    217 op_params.quantized_activation_min = output_activation_min;
    +
    218 op_params.quantized_activation_max = output_activation_max;
    +
    219 op_params.lhs_cacheable = false;
    +
    220 op_params.rhs_cacheable = false;
    + +
    222 op_params, getTensorShape(input()), getTensorData<int8_t>(input()), getTensorShape(weights()),
    +
    223 getTensorData<int8_t>(weights()), getTensorShape(bias()), getTensorData<int32_t>(bias()),
    +
    224 getTensorShape(output()), getTensorData<int8_t>(output()));
    +
    225}
    +
    226
    +
    227void FullyConnected::evalHybridWI4AF32() const
    +
    228{
    +
    229 float activation_min{};
    +
    230 float activation_max{};
    +
    231 calculateActivationRange(_params.activation, &activation_min, &activation_max);
    +
    232
    +
    233 tflite::FullyConnectedParams params{};
    +
    234 params.float_activation_min = activation_min;
    +
    235 params.float_activation_max = activation_max;
    +
    236 params.weights_format = tflite::FullyConnectedWeightsFormat::kDefault;
    +
    237
    +
    238 const int8_t *weights_int4 = getTensorData<int8_t>(weights());
    +
    239 float *weights_float = getTensorData<float>(scratch());
    +
    240 const Shape &weights_shape = weights()->shape();
    +
    241 const auto weights_scales = weights()->scales();
    +
    242 const auto weights_quantized_dimension = weights()->quantized_dimension();
    +
    243 // Invariant for per-channel quantization of FC weights.
    +
    244 LUCI_INTERPRETER_CHECK(weights_quantized_dimension == 0);
    +
    245
    +
    246 if (weights_scales.size() == 1)
    +
    247 {
    +
    248 // Per tensor
    +
    249 const auto scale = weights()->scale();
    +
    250 for (int32_t i = 0; i < weights_shape.num_elements(); ++i)
    +
    251 {
    +
    252 weights_float[i] = scale * static_cast<float>(weights_int4[i]);
    +
    253 }
    +
    254 }
    +
    255 else
    +
    256 {
    +
    257 // Per channel
    +
    258 const int32_t quant_dim_size = weights_shape.dim(weights_quantized_dimension);
    +
    259
    +
    260 size_t outer_dims_size = 1;
    +
    261 size_t inner_dims_size = 1;
    +
    262 for (int i = 0; i < weights_quantized_dimension; ++i)
    +
    263 outer_dims_size *= weights_shape.dim(i);
    +
    264 for (int i = weights_quantized_dimension + 1; i < weights_shape.num_dims(); ++i)
    +
    265 inner_dims_size *= weights_shape.dim(i);
    +
    266
    +
    267 for (size_t outer_it = 0; outer_it < outer_dims_size; ++outer_it)
    +
    268 for (int32_t channel = 0; channel < quant_dim_size; ++channel)
    +
    269 {
    +
    270 float scale = weights_scales[channel];
    +
    271 size_t offset = inner_dims_size * (quant_dim_size * outer_it + channel);
    +
    272 for (size_t inner_it = 0; inner_it < inner_dims_size; ++inner_it)
    +
    273 {
    +
    274 LUCI_INTERPRETER_CHECK(offset + inner_it <
    +
    275 static_cast<size_t>(weights_shape.num_elements()));
    +
    276 weights_float[offset + inner_it] =
    +
    277 scale * static_cast<float>(weights_int4[offset + inner_it]);
    +
    278 }
    +
    279 }
    +
    280 }
    +
    281
    +
    282 tflite::reference_ops::FullyConnected(
    +
    283 params, getTensorShape(input()), getTensorData<float>(input()), getTensorShape(scratch()),
    +
    284 getTensorData<float>(scratch()), getTensorShape(bias()), getTensorData<float>(bias()),
    +
    285 getTensorShape(output()), getTensorData<float>(output()));
    +
    286}
    +
    287
    +
    288void FullyConnected::evalHybridWU4AF32() const
    +
    289{
    +
    290 float activation_min{};
    +
    291 float activation_max{};
    +
    292 calculateActivationRange(_params.activation, &activation_min, &activation_max);
    +
    293
    +
    294 tflite::FullyConnectedParams params{};
    +
    295 params.float_activation_min = activation_min;
    +
    296 params.float_activation_max = activation_max;
    +
    297 params.weights_format = tflite::FullyConnectedWeightsFormat::kDefault;
    +
    298
    +
    299 const auto *weights_uint4 = getTensorData<uint8_t>(weights());
    +
    300 auto *weights_float = getTensorData<float>(scratch());
    +
    301 const Shape &weights_shape = weights()->shape();
    +
    302 const auto weights_scales = weights()->scales();
    +
    303 const auto weights_zero_points = weights()->zero_points();
    +
    304 const auto weights_quantized_dimension = weights()->quantized_dimension();
    +
    305 LUCI_INTERPRETER_CHECK(weights_quantized_dimension == 0);
    +
    306 if (weights_scales.size() == 1)
    +
    307 {
    +
    308 // Per tensor
    +
    309 const auto scale = weights()->scale();
    +
    310 const auto zero_point = weights()->zero_point();
    +
    311 LUCI_INTERPRETER_CHECK(zero_point >= 0 and zero_point <= 15);
    +
    312 for (int32_t i = 0; i < weights_shape.num_elements(); ++i)
    +
    313 {
    +
    314 weights_float[i] =
    +
    315 scale * static_cast<float>(static_cast<int32_t>(weights_uint4[i]) - zero_point);
    +
    316 }
    +
    317 }
    +
    318 else
    +
    319 {
    +
    320 // Per channel
    +
    321 const int32_t quant_dim_size = weights_shape.dim(weights_quantized_dimension);
    +
    322
    +
    323 size_t outer_dims_size = 1;
    +
    324 size_t inner_dims_size = 1;
    +
    325 for (int i = 0; i < weights_quantized_dimension; ++i)
    +
    326 outer_dims_size *= weights_shape.dim(i);
    +
    327 for (int i = weights_quantized_dimension + 1; i < weights_shape.num_dims(); ++i)
    +
    328 inner_dims_size *= weights_shape.dim(i);
    +
    329
    +
    330 for (size_t outer_it = 0; outer_it < outer_dims_size; ++outer_it)
    +
    331 for (int32_t channel = 0; channel < quant_dim_size; ++channel)
    +
    332 {
    +
    333 int32_t zero_point = weights_zero_points[channel];
    +
    334 LUCI_INTERPRETER_CHECK(zero_point >= 0 and zero_point <= 15);
    +
    335 float scale = weights_scales[channel];
    +
    336 size_t offset = inner_dims_size * (quant_dim_size * outer_it + channel);
    +
    337 for (size_t inner_it = 0; inner_it < inner_dims_size; ++inner_it)
    +
    338 {
    +
    339 weights_float[offset + inner_it] =
    +
    340 scale *
    +
    341 static_cast<float>(static_cast<int32_t>(weights_uint4[offset + inner_it]) - zero_point);
    +
    342 }
    +
    343 }
    +
    344 }
    +
    345
    +
    346 tflite::reference_ops::FullyConnected(
    +
    347 params, getTensorShape(input()), getTensorData<float>(input()), getTensorShape(scratch()),
    +
    348 getTensorData<float>(scratch()), getTensorShape(bias()), getTensorData<float>(bias()),
    +
    349 getTensorShape(output()), getTensorData<float>(output()));
    +
    350}
    +
    351
    +
    352} // namespace kernels
    +
    353} // namespace luci_interpreter
    const luci_interpreter::RuntimeShape output_shape
    @@ -349,19 +467,23 @@
    void resize(const Shape &new_shape)
    Definition Tensor.cpp:56
    const Shape & shape() const
    Definition Tensor.h:107
    +
    const std::vector< float > & scales() const
    Definition Tensor.h:121
    float scale() const
    Definition Tensor.h:109
    +
    const std::vector< int32_t > & zero_points() const
    Definition Tensor.h:123
    DataType element_type() const
    Definition Tensor.h:105
    +
    int32_t quantized_dimension() const
    Definition Tensor.h:125
    int32_t zero_point() const
    Definition Tensor.h:115
    FullyConnected(const Tensor *input, const Tensor *weights, const Tensor *bias, Tensor *output, const FullyConnectedParams &params)
    - +
    #define LUCI_INTERPRETER_CHECK(cond)
    Definition Utils.h:36
    +
    __global uchar * offset(const Image *img, int x, int y)
    Definition helpers.h:540
    tflite::RuntimeShape getTensorShape(const Tensor *tensor)
    Definition Utils.h:194
    void calculateActivationRange(Activation activation, T *activation_min, T *activation_max)
    Definition Utils.cpp:52
    void calculateActivationRangeQuantized(Activation activation, const Tensor *output, int32_t *activation_min, int32_t *activation_max)
    Definition Utils.cpp:119
    diff --git a/compiler_2luci-interpreter_2src_2kernels_2_fully_connected_8h_source.html b/compiler_2luci-interpreter_2src_2kernels_2_fully_connected_8h_source.html index bc894147562..f97b2effda4 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_fully_connected_8h_source.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_fully_connected_8h_source.html @@ -152,14 +152,15 @@
    50 void evalQuantized() const;
    51 void evalQuantizedS8() const;
    52 void evalHybridWI4AF32() const;
    -
    53 Tensor *_scratch = nullptr;
    -
    54};
    +
    53 void evalHybridWU4AF32() const;
    +
    54 Tensor *_scratch = nullptr;
    +
    55};
    -
    55
    -
    56} // namespace kernels
    -
    57} // namespace luci_interpreter
    -
    58
    -
    59#endif // LUCI_INTERPRETER_KERNELS_FULLYCONNECTED_H
    +
    56
    +
    57} // namespace kernels
    +
    58} // namespace luci_interpreter
    +
    59
    +
    60#endif // LUCI_INTERPRETER_KERNELS_FULLYCONNECTED_H
    const std::vector< const Tensor * > _inputs
    Definition Kernel.h:52
    @@ -172,7 +173,7 @@
    FullyConnected(const Tensor *input, const Tensor *weights, const Tensor *bias, Tensor *output, Tensor *scratch, const FullyConnectedParams &params)
    - + diff --git a/compiler_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html b/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html similarity index 95% rename from compiler_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html rename to compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html index 1258e39d31d..229349fa504 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,7 +100,7 @@ #include "PALLeakyRelu.h"
    #include <stdexcept>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -114,7 +114,7 @@ diff --git a/compiler_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html b/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html similarity index 97% rename from compiler_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html rename to compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html index f464bc10153..b782888587b 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    LeakyRelu.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -199,11 +199,11 @@
    void resize(const Shape &new_shape)
    Definition Tensor.cpp:56
    float scale() const
    Definition Tensor.h:109
    int32_t zero_point() const
    Definition Tensor.h:115
    - +
    const Tensor * input() const
    Definition LeakyRelu.h:33
    - -
    LeakyRelu(const Tensor *input, Tensor *output, const LeakyReluParams &params)
    Definition LeakyRelu.cpp:33
    + +
    LeakyRelu(const Tensor *input, Tensor *output, const LeakyReluParams &params)
    Definition LeakyRelu.cpp:33
    #define LUCI_INTERPRETER_CHECK(cond)
    Definition Utils.h:36
    tflite::RuntimeShape getTensorShape(const Tensor *tensor)
    Definition Utils.h:194
    @@ -216,7 +216,7 @@ diff --git a/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8h_source.html b/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8h_source.html index c707da260e2..9feea33cf70 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8h_source.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8h_source.html @@ -160,10 +160,10 @@
    const LeakyReluParams & params() const
    Definition Kernel.h:67
    - +
    const Tensor * input() const
    Definition LeakyRelu.h:33
    - +
    diff --git a/compiler_2luci-interpreter_2src_2kernels_2_relu6_8cpp.html b/compiler_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.html similarity index 95% rename from compiler_2luci-interpreter_2src_2kernels_2_relu6_8cpp.html rename to compiler_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.html index da8db35cd13..026a6a8b721 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_relu6_8cpp.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.html @@ -63,7 +63,7 @@
    @@ -99,7 +99,7 @@ #include "PALRelu6.h"
    #include <stdexcept>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -113,7 +113,7 @@ diff --git a/compiler_2luci-interpreter_2src_2kernels_2_relu6_8cpp_source.html b/compiler_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp_source.html similarity index 97% rename from compiler_2luci-interpreter_2src_2kernels_2_relu6_8cpp_source.html rename to compiler_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp_source.html index 9e03d898284..647c83c8ce8 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_relu6_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Relu6.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -196,10 +196,10 @@
    void resize(const Shape &new_shape)
    Definition Tensor.cpp:56
    float scale() const
    Definition Tensor.h:109
    int32_t zero_point() const
    Definition Tensor.h:115
    -
    Relu6(const Tensor *input, Tensor *output)
    Definition Relu6.cpp:30
    - +
    Relu6(const Tensor *input, Tensor *output)
    Definition Relu6.cpp:30
    +
    Tensor * output() const
    Definition Relu6.h:33
    -
    void execute() const override
    Definition Relu6.cpp:44
    +
    void execute() const override
    Definition Relu6.cpp:44
    const Tensor * input() const
    Definition Relu6.h:32
    #define LUCI_INTERPRETER_CHECK(cond)
    Definition Utils.h:36
    @@ -212,7 +212,7 @@ diff --git a/compiler_2luci-interpreter_2src_2kernels_2_re_l_u6_8h_source.html b/compiler_2luci-interpreter_2src_2kernels_2_re_l_u6_8h_source.html index 954521ddb55..e953632b68b 100644 --- a/compiler_2luci-interpreter_2src_2kernels_2_re_l_u6_8h_source.html +++ b/compiler_2luci-interpreter_2src_2kernels_2_re_l_u6_8h_source.html @@ -155,9 +155,9 @@
    const std::vector< Tensor * > _outputs
    Definition Kernel.h:53
    - +
    Tensor * output() const
    Definition Relu6.h:33
    -
    void execute() const override
    Definition Relu6.cpp:44
    +
    void execute() const override
    Definition Relu6.cpp:44
    const Tensor * input() const
    Definition Relu6.h:32
    diff --git a/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp.html b/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp.html index 7917577418c..6b5940dbfdb 100644 --- a/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp.html +++ b/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp.html @@ -99,7 +99,7 @@
    #include "loader/KernelBuilder.h"
    #include "loader/nodes/Builders.h"
    -#include <luci/IR/CircleOpcode.h>
    +#include <luci/IR/CircleOpcode.h>
    #include <luci/IR/CircleNodeDecl.h>
    #include <stdexcept>
    #include <luci/IR/CircleNodes.lst>
    diff --git a/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp_source.html b/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp_source.html index 5b61175ab4c..538cc7d47c2 100644 --- a/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2loader_2_kernel_builder_8cpp_source.html @@ -116,7 +116,7 @@
    19
    - +
    22
    23#include <stdexcept>
    @@ -248,12 +248,12 @@ - +
    const std::string toString(luci::CircleOpcode opcode)
    - +
    NodeName name(void) const
    virtual CircleOpcode opcode(void) const =0
    diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2conv2d_8cpp.html b/compiler_2luci-interpreter_2src_2loader_2nodes_2_conv2_d_8cpp.html similarity index 96% rename from compiler_2luci-interpreter_2src_2loader_2nodes_2conv2d_8cpp.html rename to compiler_2luci-interpreter_2src_2loader_2nodes_2_conv2_d_8cpp.html index 99f13423797..7503e16c0b0 100644 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2conv2d_8cpp.html +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -99,7 +99,7 @@ #include "kernels/Conv2D.h"
    #include <luci/Plan/CircleNodeExecutionPlan.h>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -116,7 +116,7 @@ diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_conv2_d_8cpp.js b/compiler_2luci-interpreter_2src_2loader_2nodes_2_conv2_d_8cpp.js new file mode 100644 index 00000000000..702ea64e1d5 --- /dev/null +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_conv2_d_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2luci_interpreter_2src_2loader_2nodes_2_conv2_d_8cpp = +[ + [ "build_kernel_CircleConv2D", "compiler_2luci-interpreter_2src_2loader_2nodes_2_conv2_d_8cpp.html#a57bf8d47dadfd78ec6bc0ffd8d5ce941", null ] +]; \ No newline at end of file diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2conv2d_8cpp_source.html b/compiler_2luci-interpreter_2src_2loader_2nodes_2_conv2_d_8cpp_source.html similarity index 98% rename from compiler_2luci-interpreter_2src_2loader_2nodes_2conv2d_8cpp_source.html rename to compiler_2luci-interpreter_2src_2loader_2nodes_2_conv2_d_8cpp_source.html index d15f82d989d..57847311b77 100644 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2conv2d_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -177,7 +177,7 @@
    void set_observable(bool value)
    Definition Tensor.h:164
    -
    std::unique_ptr< Kernel > build_kernel_CircleConv2D(const luci::CircleNode *circle_node, KernelBuilderHelper &helper)
    Definition Conv2D.cpp:25
    +
    std::unique_ptr< Kernel > build_kernel_CircleConv2D(const luci::CircleNode *circle_node, KernelBuilderHelper &helper)
    Definition Conv2D.cpp:25
    bool has_execution_plan(const luci::CircleNode *circle_node)
    luci::CircleNodeExecutionPlan get_execution_plan(const luci::CircleNode *circle_node)
    @@ -190,7 +190,7 @@ diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_elu_8cpp.html b/compiler_2luci-interpreter_2src_2loader_2nodes_2_e_l_u_8cpp.html similarity index 96% rename from compiler_2luci-interpreter_2src_2loader_2nodes_2_elu_8cpp.html rename to compiler_2luci-interpreter_2src_2loader_2nodes_2_e_l_u_8cpp.html index 5376c860a90..f193c4f47ff 100644 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_elu_8cpp.html +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_e_l_u_8cpp.html @@ -63,7 +63,7 @@

    Namespaces

    @@ -115,7 +115,7 @@ diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_e_l_u_8cpp.js b/compiler_2luci-interpreter_2src_2loader_2nodes_2_e_l_u_8cpp.js new file mode 100644 index 00000000000..200ee7e84c1 --- /dev/null +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_e_l_u_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2luci_interpreter_2src_2loader_2nodes_2_e_l_u_8cpp = +[ + [ "build_kernel_CircleElu", "compiler_2luci-interpreter_2src_2loader_2nodes_2_e_l_u_8cpp.html#a4209e7359ba885e256535fe0e898cfe0", null ] +]; \ No newline at end of file diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_elu_8cpp_source.html b/compiler_2luci-interpreter_2src_2loader_2nodes_2_e_l_u_8cpp_source.html similarity index 96% rename from compiler_2luci-interpreter_2src_2loader_2nodes_2_elu_8cpp_source.html rename to compiler_2luci-interpreter_2src_2loader_2nodes_2_e_l_u_8cpp_source.html index b127d041e22..45d0ee2e72d 100644 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_elu_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_e_l_u_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Elu.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -140,7 +140,7 @@ -
    std::unique_ptr< Kernel > build_kernel_CircleElu(const luci::CircleNode *circle_node, KernelBuilderHelper &helper)
    Definition Elu.cpp:24
    +
    std::unique_ptr< Kernel > build_kernel_CircleElu(const luci::CircleNode *circle_node, KernelBuilderHelper &helper)
    Definition Elu.cpp:24
    @@ -148,7 +148,7 @@ diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_elu_8cpp.js b/compiler_2luci-interpreter_2src_2loader_2nodes_2_elu_8cpp.js deleted file mode 100644 index 1db3f66e2f7..00000000000 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_elu_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2luci_interpreter_2src_2loader_2nodes_2_elu_8cpp = -[ - [ "build_kernel_CircleElu", "compiler_2luci-interpreter_2src_2loader_2nodes_2_elu_8cpp.html#a4209e7359ba885e256535fe0e898cfe0", null ] -]; \ No newline at end of file diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_fully_connected_8cpp_source.html b/compiler_2luci-interpreter_2src_2loader_2nodes_2_fully_connected_8cpp_source.html index ae37bd31ae6..1ad676cff9e 100644 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_fully_connected_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_fully_connected_8cpp_source.html @@ -135,23 +135,24 @@
    35 FullyConnectedParams params{};
    36 params.activation = node->fusedActivationFunction();
    37 params.keep_num_dims = node->keep_num_dims();
    -
    38 if (weights->element_type() == loco::DataType::S4)
    -
    39 {
    -
    40 auto scratchpad =
    -
    41 std::make_unique<Tensor>(input->element_type(), weights->shape(), AffineQuantization{}, "");
    -
    42 scratchpad->set_observable(false);
    -
    43 scratchpad->set_data_buffer(nullptr);
    -
    44 Tensor *scratchpad_tmp =
    -
    45 helper.getRuntimeGraph(node->graph())->addTensor(std::move(scratchpad));
    -
    46 helper.getRuntimeGraph(node->graph())->configureAllocations(scratchpad_tmp);
    -
    47 return std::make_unique<kernels::FullyConnected>(input, weights, bias, output, scratchpad_tmp,
    -
    48 params);
    -
    49 }
    -
    50 return std::make_unique<kernels::FullyConnected>(input, weights, bias, output, params);
    -
    51}
    +
    38 if (weights->element_type() == loco::DataType::S4 ||
    +
    39 weights->element_type() == loco::DataType::U4)
    +
    40 {
    +
    41 auto scratchpad =
    +
    42 std::make_unique<Tensor>(input->element_type(), weights->shape(), AffineQuantization{}, "");
    +
    43 scratchpad->set_observable(false);
    +
    44 scratchpad->set_data_buffer(nullptr);
    +
    45 Tensor *scratchpad_tmp =
    +
    46 helper.getRuntimeGraph(node->graph())->addTensor(std::move(scratchpad));
    +
    47 helper.getRuntimeGraph(node->graph())->configureAllocations(scratchpad_tmp);
    +
    48 return std::make_unique<kernels::FullyConnected>(input, weights, bias, output, scratchpad_tmp,
    +
    49 params);
    +
    50 }
    +
    51 return std::make_unique<kernels::FullyConnected>(input, weights, bias, output, params);
    +
    52}
    -
    52
    -
    53} // namespace luci_interpreter
    +
    53
    +
    54} // namespace luci_interpreter
    Tensor * getOutputTensor(const loco::Node *node) const
    const Tensor * getOptionalInputTensor(const loco::Node *node) const
    diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.html b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.html similarity index 96% rename from compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.html rename to compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.html index 89267b9e0e4..ac92451d3d4 100644 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.html +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.html @@ -63,7 +63,7 @@

    Namespaces

    @@ -115,7 +115,7 @@ diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.js b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.js new file mode 100644 index 00000000000..2cf8835625d --- /dev/null +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2luci_interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp = +[ + [ "build_kernel_CircleLeakyRelu", "compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp.html#aa92301980d51b10774621c4ca328e67b", null ] +]; \ No newline at end of file diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp_source.html b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp_source.html similarity index 97% rename from compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp_source.html rename to compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp_source.html index 6cd17fd730a..27c46adaeef 100644 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_re_l_u_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    LeakyRelu.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -143,7 +143,7 @@ -
    std::unique_ptr< Kernel > build_kernel_CircleLeakyRelu(const luci::CircleNode *circle_node, KernelBuilderHelper &helper)
    Definition LeakyRelu.cpp:24
    +
    std::unique_ptr< Kernel > build_kernel_CircleLeakyRelu(const luci::CircleNode *circle_node, KernelBuilderHelper &helper)
    Definition LeakyRelu.cpp:24
    @@ -153,7 +153,7 @@ diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.js b/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.js deleted file mode 100644 index 5363a354376..00000000000 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2luci_interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp = -[ - [ "build_kernel_CircleLeakyRelu", "compiler_2luci-interpreter_2src_2loader_2nodes_2_leaky_relu_8cpp.html#aa92301980d51b10774621c4ca328e67b", null ] -]; \ No newline at end of file diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_relu6_8cpp.html b/compiler_2luci-interpreter_2src_2loader_2nodes_2_re_l_u6_8cpp.html similarity index 96% rename from compiler_2luci-interpreter_2src_2loader_2nodes_2_relu6_8cpp.html rename to compiler_2luci-interpreter_2src_2loader_2nodes_2_re_l_u6_8cpp.html index cbd7cc7c74c..89bf6c719a7 100644 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_relu6_8cpp.html +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_re_l_u6_8cpp.html @@ -63,7 +63,7 @@

    Namespaces

    @@ -115,7 +115,7 @@ diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_re_l_u6_8cpp.js b/compiler_2luci-interpreter_2src_2loader_2nodes_2_re_l_u6_8cpp.js new file mode 100644 index 00000000000..49281b8899b --- /dev/null +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_re_l_u6_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2luci_interpreter_2src_2loader_2nodes_2_re_l_u6_8cpp = +[ + [ "build_kernel_CircleRelu6", "compiler_2luci-interpreter_2src_2loader_2nodes_2_re_l_u6_8cpp.html#ab09fc2d0519e76de7fb4248266045864", null ] +]; \ No newline at end of file diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_relu6_8cpp_source.html b/compiler_2luci-interpreter_2src_2loader_2nodes_2_re_l_u6_8cpp_source.html similarity index 96% rename from compiler_2luci-interpreter_2src_2loader_2nodes_2_relu6_8cpp_source.html rename to compiler_2luci-interpreter_2src_2loader_2nodes_2_re_l_u6_8cpp_source.html index 0c3b0a76718..05530b4cb37 100644 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_relu6_8cpp_source.html +++ b/compiler_2luci-interpreter_2src_2loader_2nodes_2_re_l_u6_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Relu6.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -141,7 +141,7 @@ -
    std::unique_ptr< Kernel > build_kernel_CircleRelu6(const luci::CircleNode *circle_node, KernelBuilderHelper &helper)
    Definition Relu6.cpp:24
    +
    std::unique_ptr< Kernel > build_kernel_CircleRelu6(const luci::CircleNode *circle_node, KernelBuilderHelper &helper)
    Definition Relu6.cpp:24
    @@ -149,7 +149,7 @@ diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2_relu6_8cpp.js b/compiler_2luci-interpreter_2src_2loader_2nodes_2_relu6_8cpp.js deleted file mode 100644 index fc6d7210901..00000000000 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2_relu6_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2luci_interpreter_2src_2loader_2nodes_2_relu6_8cpp = -[ - [ "build_kernel_CircleRelu6", "compiler_2luci-interpreter_2src_2loader_2nodes_2_relu6_8cpp.html#ab09fc2d0519e76de7fb4248266045864", null ] -]; \ No newline at end of file diff --git a/compiler_2luci-interpreter_2src_2loader_2nodes_2conv2d_8cpp.js b/compiler_2luci-interpreter_2src_2loader_2nodes_2conv2d_8cpp.js deleted file mode 100644 index bf438cfef9d..00000000000 --- a/compiler_2luci-interpreter_2src_2loader_2nodes_2conv2d_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2luci_interpreter_2src_2loader_2nodes_2conv2d_8cpp = -[ - [ "build_kernel_CircleConv2D", "compiler_2luci-interpreter_2src_2loader_2nodes_2conv2d_8cpp.html#a57bf8d47dadfd78ec6bc0ffd8d5ce941", null ] -]; \ No newline at end of file diff --git a/compiler_2mir-interpreter_2src_2ops_2conv2d_8cpp.html b/compiler_2mir-interpreter_2src_2ops_2_conv2_d_8cpp.html similarity index 96% rename from compiler_2mir-interpreter_2src_2ops_2conv2d_8cpp.html rename to compiler_2mir-interpreter_2src_2ops_2_conv2_d_8cpp.html index 62b933a1993..69df8b8c97f 100644 --- a/compiler_2mir-interpreter_2src_2ops_2conv2d_8cpp.html +++ b/compiler_2mir-interpreter_2src_2ops_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -102,7 +102,7 @@ #include "mir/Tensor.h"
    #include <cmath>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -126,7 +126,7 @@ diff --git a/compiler_2mir-interpreter_2src_2ops_2conv2d_8cpp.js b/compiler_2mir-interpreter_2src_2ops_2_conv2_d_8cpp.js similarity index 56% rename from compiler_2mir-interpreter_2src_2ops_2conv2d_8cpp.js rename to compiler_2mir-interpreter_2src_2ops_2_conv2_d_8cpp.js index fbfda791c7b..d1e67ede8ee 100644 --- a/compiler_2mir-interpreter_2src_2ops_2conv2d_8cpp.js +++ b/compiler_2mir-interpreter_2src_2ops_2_conv2_d_8cpp.js @@ -1,6 +1,6 @@ -var compiler_2mir_interpreter_2src_2ops_2conv2d_8cpp = +var compiler_2mir_interpreter_2src_2ops_2_conv2_d_8cpp = [ [ "mir_interpreter::Conv2DImpl< T >", "structmir__interpreter_1_1_conv2_d_impl.html", null ], [ "mir_interpreter::Conv2DImpl< uint8_t >", "structmir__interpreter_1_1_conv2_d_impl_3_01uint8__t_01_4.html", null ], - [ "Conv2D", "compiler_2mir-interpreter_2src_2ops_2conv2d_8cpp.html#ade0a7b93688c5b32cb92e4c8a6b72f28", null ] + [ "Conv2D", "compiler_2mir-interpreter_2src_2ops_2_conv2_d_8cpp.html#ade0a7b93688c5b32cb92e4c8a6b72f28", null ] ]; \ No newline at end of file diff --git a/compiler_2mir-interpreter_2src_2ops_2conv2d_8cpp_source.html b/compiler_2mir-interpreter_2src_2ops_2_conv2_d_8cpp_source.html similarity index 99% rename from compiler_2mir-interpreter_2src_2ops_2conv2d_8cpp_source.html rename to compiler_2mir-interpreter_2src_2ops_2_conv2_d_8cpp_source.html index b47869dadc0..a2d102e2179 100644 --- a/compiler_2mir-interpreter_2src_2ops_2conv2d_8cpp_source.html +++ b/compiler_2mir-interpreter_2src_2ops_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 * Copyright 2019 The TensorFlow Authors. All Rights Reserved.
    4 *
    @@ -385,7 +385,7 @@
    int32_t calcOffset(const Shape &shape, int32_t d0, int32_t d1, int32_t d2, int32_t d3)
    Definition Utils.h:75
    int32_t MultiplyByQuantizedMultiplier(int32_t x, int32_t quantized_multiplier, int shift)
    -
    void Conv2D(const mir::TensorVariant &input, const mir::TensorVariant &kernel, const mir::Conv2DOpAttributes &attributes, mir::TensorVariant &result, const mir::TensorVariant *fused_bias)
    Definition Conv2D.cpp:254
    +
    void Conv2D(const mir::TensorVariant &input, const mir::TensorVariant &kernel, const mir::Conv2DOpAttributes &attributes, mir::TensorVariant &result, const mir::TensorVariant *fused_bias)
    Definition Conv2D.cpp:254
    void QuantizeMultiplier(double double_multiplier, int32_t *quantized_multiplier, int *shift)
    @@ -396,14 +396,14 @@
    std::int32_t num_groups
    Definition Attributes.h:34
    std::vector< std::int32_t > padding_before
    Definition Attributes.h:32
    - -
    static void run(const TensorVariant &input, const TensorVariant &kernel, const Conv2DOpAttributes &attributes, TensorVariant &result, const TensorVariant *fused_bias)
    Definition Conv2D.cpp:45
    + +
    static void run(const TensorVariant &input, const TensorVariant &kernel, const Conv2DOpAttributes &attributes, TensorVariant &result, const TensorVariant *fused_bias)
    Definition Conv2D.cpp:45
    diff --git a/compiler_2mir-interpreter_2src_2ops_2_conv2_d_8h_source.html b/compiler_2mir-interpreter_2src_2ops_2_conv2_d_8h_source.html index 3958b02760e..fa97439457f 100644 --- a/compiler_2mir-interpreter_2src_2ops_2_conv2_d_8h_source.html +++ b/compiler_2mir-interpreter_2src_2ops_2_conv2_d_8h_source.html @@ -133,7 +133,7 @@ -
    void Conv2D(const mir::TensorVariant &input, const mir::TensorVariant &kernel, const mir::Conv2DOpAttributes &attributes, mir::TensorVariant &result, const mir::TensorVariant *fused_bias)
    Definition Conv2D.cpp:254
    +
    void Conv2D(const mir::TensorVariant &input, const mir::TensorVariant &kernel, const mir::Conv2DOpAttributes &attributes, mir::TensorVariant &result, const mir::TensorVariant *fused_bias)
    Definition Conv2D.cpp:254
    diff --git a/compiler_2mir-interpreter_2src_2ops_2_elu_8cpp.html b/compiler_2mir-interpreter_2src_2ops_2_e_l_u_8cpp.html similarity index 96% rename from compiler_2mir-interpreter_2src_2ops_2_elu_8cpp.html rename to compiler_2mir-interpreter_2src_2ops_2_e_l_u_8cpp.html index ee0474edf6d..9befd86b03c 100644 --- a/compiler_2mir-interpreter_2src_2ops_2_elu_8cpp.html +++ b/compiler_2mir-interpreter_2src_2ops_2_e_l_u_8cpp.html @@ -63,7 +63,7 @@
    @@ -102,7 +102,7 @@ #include "mir/Tensor.h"
    #include <cmath>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Data Structures

    @@ -124,7 +124,7 @@ diff --git a/compiler_2mir-interpreter_2src_2ops_2_e_l_u_8cpp.js b/compiler_2mir-interpreter_2src_2ops_2_e_l_u_8cpp.js new file mode 100644 index 00000000000..af188506c3a --- /dev/null +++ b/compiler_2mir-interpreter_2src_2ops_2_e_l_u_8cpp.js @@ -0,0 +1,5 @@ +var compiler_2mir_interpreter_2src_2ops_2_e_l_u_8cpp = +[ + [ "mir_interpreter::ELUImpl< T >", "structmir__interpreter_1_1_e_l_u_impl.html", null ], + [ "ELU", "compiler_2mir-interpreter_2src_2ops_2_e_l_u_8cpp.html#abfc0a12039df388f4ef7f38f563ccdd5", null ] +]; \ No newline at end of file diff --git a/compiler_2mir-interpreter_2src_2ops_2_elu_8cpp_source.html b/compiler_2mir-interpreter_2src_2ops_2_e_l_u_8cpp_source.html similarity index 96% rename from compiler_2mir-interpreter_2src_2ops_2_elu_8cpp_source.html rename to compiler_2mir-interpreter_2src_2ops_2_e_l_u_8cpp_source.html index db0f891edcc..822fe0f3658 100644 --- a/compiler_2mir-interpreter_2src_2ops_2_elu_8cpp_source.html +++ b/compiler_2mir-interpreter_2src_2ops_2_e_l_u_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    ELU.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -164,16 +164,16 @@ -
    void ELU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition ELU.cpp:46
    +
    void ELU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition ELU.cpp:46
    - -
    static void run(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition ELU.cpp:34
    + +
    static void run(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition ELU.cpp:34
    diff --git a/compiler_2mir-interpreter_2src_2ops_2_e_l_u_8h_source.html b/compiler_2mir-interpreter_2src_2ops_2_e_l_u_8h_source.html index c7a5972c5f6..62ddd23f25a 100644 --- a/compiler_2mir-interpreter_2src_2ops_2_e_l_u_8h_source.html +++ b/compiler_2mir-interpreter_2src_2ops_2_e_l_u_8h_source.html @@ -129,7 +129,7 @@ -
    void ELU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition ELU.cpp:46
    +
    void ELU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition ELU.cpp:46
    diff --git a/compiler_2mir-interpreter_2src_2ops_2_elu_8cpp.js b/compiler_2mir-interpreter_2src_2ops_2_elu_8cpp.js deleted file mode 100644 index 1ee65c5e62b..00000000000 --- a/compiler_2mir-interpreter_2src_2ops_2_elu_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var compiler_2mir_interpreter_2src_2ops_2_elu_8cpp = -[ - [ "mir_interpreter::ELUImpl< T >", "structmir__interpreter_1_1_e_l_u_impl.html", null ], - [ "ELU", "compiler_2mir-interpreter_2src_2ops_2_elu_8cpp.html#abfc0a12039df388f4ef7f38f563ccdd5", null ] -]; \ No newline at end of file diff --git a/compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.html b/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.html similarity index 96% rename from compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.html rename to compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.html index 534c56ed310..0c99d934ad9 100644 --- a/compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.html +++ b/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.html @@ -63,7 +63,7 @@
    @@ -101,7 +101,7 @@ #include <mir/ShapeRange.h>
    #include <mir/Tensor.h>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Data Structures

    @@ -123,7 +123,7 @@ diff --git a/compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.js b/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.js similarity index 58% rename from compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.js rename to compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.js index 84aee354ee6..290f91a83e7 100644 --- a/compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.js +++ b/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.js @@ -1,5 +1,5 @@ -var compiler_2mir_interpreter_2src_2ops_2_leaky_relu_8cpp = +var compiler_2mir_interpreter_2src_2ops_2_leaky_re_l_u_8cpp = [ [ "mir_interpreter::LeakyReLUImpl< T >", "structmir__interpreter_1_1_leaky_re_l_u_impl.html", null ], - [ "LeakyReLU", "compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp.html#a48dd1547b9010131974c17cba6e516b2", null ] + [ "LeakyReLU", "compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp.html#a48dd1547b9010131974c17cba6e516b2", null ] ]; \ No newline at end of file diff --git a/compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp_source.html b/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp_source.html similarity index 96% rename from compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp_source.html rename to compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp_source.html index 0ec69ac21a6..29357308577 100644 --- a/compiler_2mir-interpreter_2src_2ops_2_leaky_relu_8cpp_source.html +++ b/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    LeakyReLU.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -162,16 +162,16 @@ -
    void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:44
    +
    void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:44
    - -
    static void run(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:32
    + +
    static void run(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:32
    diff --git a/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8h_source.html b/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8h_source.html index edf77986abc..f7ac284dbcb 100644 --- a/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8h_source.html +++ b/compiler_2mir-interpreter_2src_2ops_2_leaky_re_l_u_8h_source.html @@ -129,7 +129,7 @@ -
    void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:44
    +
    void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
    Definition LeakyReLU.cpp:44
    diff --git a/compiler_2moco_2import_2include_2moco_2_import_2_nodes_2_conv2_d_8h_source.html b/compiler_2moco_2import_2include_2moco_2_import_2_nodes_2_conv2_d_8h_source.html index 85b9bdfdedc..088a6e2df11 100644 --- a/compiler_2moco_2import_2include_2moco_2_import_2_nodes_2_conv2_d_8h_source.html +++ b/compiler_2moco_2import_2include_2moco_2_import_2_nodes_2_conv2_d_8h_source.html @@ -134,8 +134,8 @@
    33
    34#endif // __MOCO_IMPORT_OP_CONV_2D_H__
    -
    void build(const tensorflow::NodeDef &, GraphBuilderContext *) const final
    Definition Conv2D.cpp:98
    -
    bool validate(const tensorflow::NodeDef &) const final
    Definition Conv2D.cpp:69
    +
    void build(const tensorflow::NodeDef &, GraphBuilderContext *) const final
    Definition Conv2D.cpp:98
    +
    bool validate(const tensorflow::NodeDef &) const final
    Definition Conv2D.cpp:69
    Class to store context to build loco graph IR from TensorFlow.
    Interface of convert TF NodeDef to loco::Node (e.g., Conv2DGraphBuilder)
    diff --git a/compiler_2moco_2import_2include_2moco_2_import_2_nodes_2_re_l_u6_8h_source.html b/compiler_2moco_2import_2include_2moco_2_import_2_nodes_2_re_l_u6_8h_source.html index 75f676df3bb..cca52c849ce 100644 --- a/compiler_2moco_2import_2include_2moco_2_import_2_nodes_2_re_l_u6_8h_source.html +++ b/compiler_2moco_2import_2include_2moco_2_import_2_nodes_2_re_l_u6_8h_source.html @@ -136,8 +136,8 @@
    Class to store context to build loco graph IR from TensorFlow.
    Interface of convert TF NodeDef to loco::Node (e.g., Conv2DGraphBuilder)
    GraphBuilder for Relu6 node.
    Definition Relu6.h:29
    -
    void build(const tensorflow::NodeDef &, GraphBuilderContext *) const final
    Definition Relu6.cpp:59
    -
    bool validate(const tensorflow::NodeDef &) const final
    Definition Relu6.cpp:51
    +
    void build(const tensorflow::NodeDef &, GraphBuilderContext *) const final
    Definition Relu6.cpp:59
    +
    bool validate(const tensorflow::NodeDef &) const final
    Definition Relu6.cpp:51
    Definition Log.h:23
    diff --git a/compiler_2moco_2import_2src_2_nodes_2conv2d_8cpp.html b/compiler_2moco_2import_2src_2_nodes_2_conv2_d_8cpp.html similarity index 95% rename from compiler_2moco_2import_2src_2_nodes_2conv2d_8cpp.html rename to compiler_2moco_2import_2src_2_nodes_2_conv2_d_8cpp.html index d3636ad5dc5..2b81b8b6220 100644 --- a/compiler_2moco_2import_2src_2_nodes_2conv2d_8cpp.html +++ b/compiler_2moco_2import_2src_2_nodes_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -107,7 +107,7 @@ #include <stdexcept>
    #include <algorithm>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Data Structures

    @@ -119,7 +119,7 @@ diff --git a/compiler_2moco_2import_2src_2_nodes_2conv2d_8cpp_source.html b/compiler_2moco_2import_2src_2_nodes_2_conv2_d_8cpp_source.html similarity index 98% rename from compiler_2moco_2import_2src_2_nodes_2conv2d_8cpp_source.html rename to compiler_2moco_2import_2src_2_nodes_2_conv2_d_8cpp_source.html index 9c2450620da..e0c8829cd5f 100644 --- a/compiler_2moco_2import_2src_2_nodes_2conv2d_8cpp_source.html +++ b/compiler_2moco_2import_2src_2_nodes_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -245,8 +245,8 @@
    A neural network graph.
    Definition Graph.h:161
    -
    void build(const tensorflow::NodeDef &, GraphBuilderContext *) const final
    Definition Conv2D.cpp:98
    -
    bool validate(const tensorflow::NodeDef &) const final
    Definition Conv2D.cpp:69
    +
    void build(const tensorflow::NodeDef &, GraphBuilderContext *) const final
    Definition Conv2D.cpp:98
    +
    bool validate(const tensorflow::NodeDef &) const final
    Definition Conv2D.cpp:69
    Class to store context to build loco graph IR from TensorFlow.
    @@ -279,7 +279,7 @@ diff --git a/compiler_2moco_2import_2src_2_nodes_2_relu6_8cpp.html b/compiler_2moco_2import_2src_2_nodes_2_re_l_u6_8cpp.html similarity index 95% rename from compiler_2moco_2import_2src_2_nodes_2_relu6_8cpp.html rename to compiler_2moco_2import_2src_2_nodes_2_re_l_u6_8cpp.html index 9a7e8d06839..f2b74c75113 100644 --- a/compiler_2moco_2import_2src_2_nodes_2_relu6_8cpp.html +++ b/compiler_2moco_2import_2src_2_nodes_2_re_l_u6_8cpp.html @@ -63,7 +63,7 @@
    @@ -98,7 +98,7 @@ #include <moco/IR/Nodes/TFRelu6.h>
    #include <memory>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -110,7 +110,7 @@ diff --git a/compiler_2moco_2import_2src_2_nodes_2_relu6_8cpp_source.html b/compiler_2moco_2import_2src_2_nodes_2_re_l_u6_8cpp_source.html similarity index 97% rename from compiler_2moco_2import_2src_2_nodes_2_relu6_8cpp_source.html rename to compiler_2moco_2import_2src_2_nodes_2_re_l_u6_8cpp_source.html index 059cf66f954..e32a7c53d13 100644 --- a/compiler_2moco_2import_2src_2_nodes_2_relu6_8cpp_source.html +++ b/compiler_2moco_2import_2src_2_nodes_2_re_l_u6_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Relu6.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -190,8 +190,8 @@
    Interface to connect the graph.
    virtual void input(const SymbolTable *) const =0
    Do the graph input connections using the SymbolTable.
    -
    void build(const tensorflow::NodeDef &, GraphBuilderContext *) const final
    Definition Relu6.cpp:59
    -
    bool validate(const tensorflow::NodeDef &) const final
    Definition Relu6.cpp:51
    +
    void build(const tensorflow::NodeDef &, GraphBuilderContext *) const final
    Definition Relu6.cpp:59
    +
    bool validate(const tensorflow::NodeDef &) const final
    Definition Relu6.cpp:51
    Class to store and query loco::Node* with string name key.
    void enroll(const TensorName &tensor_name, loco::Node *node)
    Registers a name with corresponding loco::Node *.
    loco::Node * node(const TensorName &tensor_name) const
    Queries enrolled(registered) with name and return node if found Will throw runtime_error if not found...
    @@ -209,7 +209,7 @@ diff --git a/compiler_2nest_2core_2examples_2conv2d_8cpp.html b/compiler_2nest_2core_2examples_2_conv2_d_8cpp.html similarity index 98% rename from compiler_2nest_2core_2examples_2conv2d_8cpp.html rename to compiler_2nest_2core_2examples_2_conv2_d_8cpp.html index 4ce07e8bd9a..3e468336b1d 100644 --- a/compiler_2nest_2core_2examples_2conv2d_8cpp.html +++ b/compiler_2nest_2core_2examples_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@

    Namespaces

    - +

    Functions

    int main (int, char **)
    int main (int, char **)
     

    Function Documentation

    @@ -130,7 +130,7 @@

    -

    Definition at line 19 of file conv2d.cpp.

    +

    Definition at line 19 of file conv2d.cpp.

    20{
    21 // This example shows how to specify convolution with IFM(1x3x3) and Kernel(1x1x3x3) with nest
    22 // - STRIDE is 1, and there is no padding
    @@ -279,7 +279,7 @@

    diff --git a/compiler_2nest_2core_2examples_2_conv2_d_8cpp.js b/compiler_2nest_2core_2examples_2_conv2_d_8cpp.js new file mode 100644 index 00000000000..c9b69a693c9 --- /dev/null +++ b/compiler_2nest_2core_2examples_2_conv2_d_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2nest_2core_2examples_2_conv2_d_8cpp = +[ + [ "main", "compiler_2nest_2core_2examples_2_conv2_d_8cpp.html#a2c3f6775325c30275d11c6abee2db6a0", null ] +]; \ No newline at end of file diff --git a/compiler_2nest_2core_2examples_2conv2d_8cpp_source.html b/compiler_2nest_2core_2examples_2_conv2_d_8cpp_source.html similarity index 96% rename from compiler_2nest_2core_2examples_2conv2d_8cpp_source.html rename to compiler_2nest_2core_2examples_2_conv2_d_8cpp_source.html index 46e03611dfe..a35e056c781 100644 --- a/compiler_2nest_2core_2examples_2conv2d_8cpp_source.html +++ b/compiler_2nest_2core_2examples_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    conv2d.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -116,7 +116,7 @@
    17#include <nest/Module.h>
    18
    -
    19int main(int, char **)
    +
    19int main(int, char **)
    20{
    21 // This example shows how to specify convolution with IFM(1x3x3) and Kernel(1x1x3x3) with nest
    22 // - STRIDE is 1, and there is no padding
    @@ -257,13 +257,13 @@
    DomainContext & domain(void)
    Definition Module.h:44
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/compiler_2nest_2core_2examples_2conv2d_8cpp.js b/compiler_2nest_2core_2examples_2conv2d_8cpp.js deleted file mode 100644 index 3bda511649c..00000000000 --- a/compiler_2nest_2core_2examples_2conv2d_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2nest_2core_2examples_2conv2d_8cpp = -[ - [ "main", "compiler_2nest_2core_2examples_2conv2d_8cpp.html#a2c3f6775325c30275d11c6abee2db6a0", null ] -]; \ No newline at end of file diff --git a/compiler_2nnc_2driver_2_main_8cpp.js b/compiler_2nnc_2driver_2_main_8cpp.js deleted file mode 100644 index 1c01768ea50..00000000000 --- a/compiler_2nnc_2driver_2_main_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2nnc_2driver_2_main_8cpp = -[ - [ "main", "compiler_2nnc_2driver_2_main_8cpp.html#ac0f2228420376f4db7e1274f2b41667c", null ] -]; \ No newline at end of file diff --git a/compiler_2nnc_2driver_2_main_8cpp.html b/compiler_2nnc_2driver_2main_8cpp.html similarity index 95% rename from compiler_2nnc_2driver_2_main_8cpp.html rename to compiler_2nnc_2driver_2main_8cpp.html index 35bb35ee3df..762d4cf8ba5 100644 --- a/compiler_2nnc_2driver_2_main_8cpp.html +++ b/compiler_2nnc_2driver_2main_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,11 +100,11 @@ #include "pass/PassException.h"
    #include "Driver.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int main (int argc, const char *argv[])
    int main (int argc, const char *argv[])
     

    Function Documentation

    @@ -134,7 +134,7 @@

    -

    Definition at line 43 of file main.cpp.

    +

    Definition at line 43 of file main.cpp.

    44{
    45 int exit_code = EXIT_FAILURE;
    46
    @@ -183,7 +183,7 @@

    diff --git a/compiler_2nnc_2driver_2main_8cpp.js b/compiler_2nnc_2driver_2main_8cpp.js new file mode 100644 index 00000000000..936d6ae0fab --- /dev/null +++ b/compiler_2nnc_2driver_2main_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2nnc_2driver_2main_8cpp = +[ + [ "main", "compiler_2nnc_2driver_2main_8cpp.html#ac0f2228420376f4db7e1274f2b41667c", null ] +]; \ No newline at end of file diff --git a/compiler_2nnc_2driver_2_main_8cpp_source.html b/compiler_2nnc_2driver_2main_8cpp_source.html similarity index 93% rename from compiler_2nnc_2driver_2_main_8cpp_source.html rename to compiler_2nnc_2driver_2main_8cpp_source.html index b7a0c9c6994..d65ec68febb 100644 --- a/compiler_2nnc_2driver_2_main_8cpp_source.html +++ b/compiler_2nnc_2driver_2main_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    main.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -140,7 +140,7 @@
    41}
    42
    -
    43int main(int argc, const char *argv[])
    +
    43int main(int argc, const char *argv[])
    44{
    45 int exit_code = EXIT_FAILURE;
    46
    @@ -183,13 +183,13 @@
    static CommandLine * getParser()
    singleton method
    void parseCommandLine(int argc, const char **argv, bool check_nonoptional=true)
    parse command line option
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/compiler_2onnx2tflite_2src_2_driver_8cpp_source.html b/compiler_2onnx2tflite_2src_2_driver_8cpp_source.html index 52116514151..38e4c5ebfc2 100644 --- a/compiler_2onnx2tflite_2src_2_driver_8cpp_source.html +++ b/compiler_2onnx2tflite_2src_2_driver_8cpp_source.html @@ -149,7 +149,7 @@
    50// MIR-to-LOCO (mir2loco)
    51// LOCO-to-TFLITE (exo-tflite)
    -
    52int main(int argc, char **argv)
    +
    52int main(int argc, char **argv)
    53{
    54 // onnx2tflite <mode> <path/to/onnx> <path/to/output>
    55 // modes: -t (text file); -b (binary file)
    @@ -193,7 +193,7 @@
    std::unique_ptr< mir::Graph > loadModel(const std::string &filename)
    std::unique_ptr< mir::Graph > importModelFromTextFile(const std::string &filename)
    std::unique_ptr< mir::Graph > importModelFromBinaryFile(const std::string &filename)
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/compiler_2onnxkit_2src_2_main_8cpp.js b/compiler_2onnxkit_2src_2_main_8cpp.js deleted file mode 100644 index e8076d30761..00000000000 --- a/compiler_2onnxkit_2src_2_main_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2onnxkit_2src_2_main_8cpp = -[ - [ "main", "compiler_2onnxkit_2src_2_main_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] -]; \ No newline at end of file diff --git a/compiler_2onnxkit_2src_2_main_8cpp.html b/compiler_2onnxkit_2src_2main_8cpp.html similarity index 93% rename from compiler_2onnxkit_2src_2_main_8cpp.html rename to compiler_2onnxkit_2src_2main_8cpp.html index 820a7d26977..3fbd9b30a7f 100644 --- a/compiler_2onnxkit_2src_2_main_8cpp.html +++ b/compiler_2onnxkit_2src_2main_8cpp.html @@ -63,7 +63,7 @@
    @@ -99,11 +99,11 @@ #include <cli/App.h>
    #include <memory>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int main (int argc, char **argv)
    int main (int argc, char **argv)
     

    Function Documentation

    @@ -133,7 +133,7 @@

    -

    Definition at line 24 of file Main.cpp.

    +

    Definition at line 24 of file Main.cpp.

    25{
    26 cli::App app{argv[0]};
    27
    @@ -152,7 +152,7 @@

    diff --git a/compiler_2onnxkit_2src_2main_8cpp.js b/compiler_2onnxkit_2src_2main_8cpp.js new file mode 100644 index 00000000000..ab20daa15ab --- /dev/null +++ b/compiler_2onnxkit_2src_2main_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2onnxkit_2src_2main_8cpp = +[ + [ "main", "compiler_2onnxkit_2src_2main_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] +]; \ No newline at end of file diff --git a/compiler_2onnxkit_2src_2_main_8cpp_source.html b/compiler_2onnxkit_2src_2main_8cpp_source.html similarity index 88% rename from compiler_2onnxkit_2src_2_main_8cpp_source.html rename to compiler_2onnxkit_2src_2main_8cpp_source.html index 0a8a4bf3f40..b8f838f96af 100644 --- a/compiler_2onnxkit_2src_2_main_8cpp_source.html +++ b/compiler_2onnxkit_2src_2main_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Main.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -121,7 +121,7 @@
    22#include <memory>
    23
    -
    24int main(int argc, char **argv)
    +
    24int main(int argc, char **argv)
    25{
    26 cli::App app{argv[0]};
    27
    @@ -133,7 +133,7 @@
    Definition App.h:30
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    @@ -141,7 +141,7 @@ diff --git a/compiler_2tf2tflite_2src_2_driver_8cpp_source.html b/compiler_2tf2tflite_2src_2_driver_8cpp_source.html index baa9006bc4e..dd566710a02 100644 --- a/compiler_2tf2tflite_2src_2_driver_8cpp_source.html +++ b/compiler_2tf2tflite_2src_2_driver_8cpp_source.html @@ -191,7 +191,7 @@
    90#define INFO(name) HERMES_INFO(name)
    91
    -
    92int main(int argc, char **argv)
    +
    92int main(int argc, char **argv)
    93{
    95
    @@ -296,7 +296,7 @@
    KnobTrait< K >::ValueType get(void)
    std::vector< std::unique_ptr< ParsedTensor > > parse(const char *info_path)
    Function to parse test.info.
    void load_customop_conf(const std::string &path, moco::ModelSignature &sig)
    Loads customop.conf into ModelSignature.
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    static hermes::Context * get(void)
    virtual void append(std::unique_ptr< Sink > &&)=0
    static hermes::Context * get(void)
    diff --git a/compiler_2tfkit_2src_2_main_8cpp.js b/compiler_2tfkit_2src_2_main_8cpp.js deleted file mode 100644 index 0b5f9316b87..00000000000 --- a/compiler_2tfkit_2src_2_main_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var compiler_2tfkit_2src_2_main_8cpp = -[ - [ "main", "compiler_2tfkit_2src_2_main_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] -]; \ No newline at end of file diff --git a/compiler_2tfkit_2src_2_main_8cpp.html b/compiler_2tfkit_2src_2main_8cpp.html similarity index 94% rename from compiler_2tfkit_2src_2_main_8cpp.html rename to compiler_2tfkit_2src_2main_8cpp.html index c57e5724e16..298b6179fe7 100644 --- a/compiler_2tfkit_2src_2_main_8cpp.html +++ b/compiler_2tfkit_2src_2main_8cpp.html @@ -63,7 +63,7 @@
    @@ -102,11 +102,11 @@ #include <cli/App.h>
    #include <memory>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - +

    Functions

    int main (int argc, char **argv)
    int main (int argc, char **argv)
     

    Function Documentation

    @@ -136,7 +136,7 @@

    -

    Definition at line 27 of file Main.cpp.

    +

    Definition at line 27 of file Main.cpp.

    28{
    29 cli::App app{argv[0]};
    30
    @@ -158,7 +158,7 @@

    diff --git a/compiler_2tfkit_2src_2main_8cpp.js b/compiler_2tfkit_2src_2main_8cpp.js new file mode 100644 index 00000000000..08c5575e990 --- /dev/null +++ b/compiler_2tfkit_2src_2main_8cpp.js @@ -0,0 +1,4 @@ +var compiler_2tfkit_2src_2main_8cpp = +[ + [ "main", "compiler_2tfkit_2src_2main_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627", null ] +]; \ No newline at end of file diff --git a/compiler_2tfkit_2src_2_main_8cpp_source.html b/compiler_2tfkit_2src_2main_8cpp_source.html similarity index 90% rename from compiler_2tfkit_2src_2_main_8cpp_source.html rename to compiler_2tfkit_2src_2main_8cpp_source.html index f891594daf1..c7219bfa4c6 100644 --- a/compiler_2tfkit_2src_2_main_8cpp_source.html +++ b/compiler_2tfkit_2src_2main_8cpp_source.html @@ -68,7 +68,7 @@

    @@ -97,7 +97,7 @@
    Main.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -124,7 +124,7 @@
    25#include <memory>
    26
    -
    27int main(int argc, char **argv)
    +
    27int main(int argc, char **argv)
    28{
    29 cli::App app{argv[0]};
    30
    @@ -142,7 +142,7 @@
    Definition App.h:30
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    @@ -150,7 +150,7 @@ diff --git a/compiler_2tflchef_2core_2src_2_convert_8h.html b/compiler_2tflchef_2core_2src_2_convert_8h.html index 1a8051a2b0e..b779a2aae4d 100644 --- a/compiler_2tflchef_2core_2src_2_convert_8h.html +++ b/compiler_2tflchef_2core_2src_2_convert_8h.html @@ -185,7 +185,7 @@

    57 throw std::runtime_error{"Unknown activation"};

    58}
    -

    Referenced by AddChef::value(), AveragePool2DChef::value(), BidirectionalSequenceLSTMChef::value(), ConcatenationChef::value(), Conv2DChef::value(), DepthwiseConv2DChef::value(), DivChef::value(), FullyConnectedChef::value(), L2Normalize::value(), L2Pool2DChef::value(), MaxPool2DChef::value(), MulChef::value(), SubChef::value(), SVDFChef::value(), TransposeConvChef::value(), and UnidirectionalSequenceLSTMChef::value().

    +

    Referenced by AddChef::value(), AveragePool2DChef::value(), BidirectionalSequenceLSTMChef::value(), ConcatenationChef::value(), Conv2DChef::value(), DepthwiseConv2DChef::value(), DivChef::value(), L2Normalize::value(), L2Pool2DChef::value(), MaxPool2DChef::value(), MulChef::value(), SubChef::value(), SVDFChef::value(), TransposeConvChef::value(), and UnidirectionalSequenceLSTMChef::value().

    @@ -288,7 +288,7 @@

    34 throw std::runtime_error{"Unknown padding value"};
    35}
    -

    Referenced by AveragePool2DChef::value(), Conv2DChef::value(), DepthwiseConv2DChef::value(), L2Pool2DChef::value(), MaxPool2DChef::value(), and TransposeConvChef::value().

    +

    Referenced by AveragePool2DChef::value(), Conv2DChef::value(), DepthwiseConv2DChef::value(), L2Pool2DChef::value(), MaxPool2DChef::value(), and TransposeConvChef::value().

    diff --git a/compiler_2tflchef_2core_2src_2_op_2conv2d_8cpp.html b/compiler_2tflchef_2core_2src_2_op_2_conv2_d_8cpp.html similarity index 94% rename from compiler_2tflchef_2core_2src_2_op_2conv2d_8cpp.html rename to compiler_2tflchef_2core_2src_2_op_2_conv2_d_8cpp.html index a5331f1379b..7683f5ef412 100644 --- a/compiler_2tflchef_2core_2src_2_op_2conv2d_8cpp.html +++ b/compiler_2tflchef_2core_2src_2_op_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -96,13 +96,13 @@ #include "Convert.h"
    #include <cassert>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    diff --git a/compiler_2tflchef_2core_2src_2_op_2conv2d_8cpp_source.html b/compiler_2tflchef_2core_2src_2_op_2_conv2_d_8cpp_source.html similarity index 96% rename from compiler_2tflchef_2core_2src_2_op_2conv2d_8cpp_source.html rename to compiler_2tflchef_2core_2src_2_op_2_conv2_d_8cpp_source.html index 980c056e0c7..f8d25baebc8 100644 --- a/compiler_2tflchef_2core_2src_2_op_2conv2d_8cpp_source.html +++ b/compiler_2tflchef_2core_2src_2_op_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -149,11 +149,11 @@
    47}
    -
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition Conv2D.cpp:22
    +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition Conv2D.cpp:22
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    void Finish(Offset< T > root, const char *file_identifier=nullptr)
    Finish serializing a buffer by writing the root offset.
    -
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition Conv2D.cpp:44
    +
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition Conv2D.cpp:44
    tflite::ActivationFunctionType as_tflite_activation(const tflchef::Activation &value)
    Definition Convert.cpp:37
    tflite::Padding as_tflite_padding(const tflchef::Padding &value)
    Definition Convert.cpp:22
    @@ -162,7 +162,7 @@ diff --git a/compiler_2tflchef_2core_2src_2_op_2_conv2_d_8h_source.html b/compiler_2tflchef_2core_2src_2_op_2_conv2_d_8h_source.html index 3313fee487c..37c98938033 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_conv2_d_8h_source.html +++ b/compiler_2tflchef_2core_2src_2_op_2_conv2_d_8h_source.html @@ -153,10 +153,10 @@
    tflite::BuiltinOperator code(void) const override
    Definition Conv2D.h:31
    tflite::BuiltinOptions type(void) const override
    Definition Conv2D.h:33
    Conv2DChef(const tflchef::Operation *operation)
    Definition Conv2D.h:25
    -
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition Conv2D.cpp:22
    +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition Conv2D.cpp:22
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    -
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition Conv2D.cpp:44
    +
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition Conv2D.cpp:44
    diff --git a/compiler_2tflchef_2core_2src_2_op_2_elu_8cpp.html b/compiler_2tflchef_2core_2src_2_op_2_e_l_u_8cpp.html similarity index 94% rename from compiler_2tflchef_2core_2src_2_op_2_elu_8cpp.html rename to compiler_2tflchef_2core_2src_2_op_2_e_l_u_8cpp.html index 90ea1ee3edc..9882d926183 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_elu_8cpp.html +++ b/compiler_2tflchef_2core_2src_2_op_2_e_l_u_8cpp.html @@ -63,7 +63,7 @@
    diff --git a/compiler_2tflchef_2core_2src_2_op_2_elu_8cpp_source.html b/compiler_2tflchef_2core_2src_2_op_2_e_l_u_8cpp_source.html similarity index 95% rename from compiler_2tflchef_2core_2src_2_op_2_elu_8cpp_source.html rename to compiler_2tflchef_2core_2src_2_op_2_e_l_u_8cpp_source.html index 878c003b2c8..fd089a8257a 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_elu_8cpp_source.html +++ b/compiler_2tflchef_2core_2src_2_op_2_e_l_u_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    ELU.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -129,17 +129,17 @@
    27}
    Definition ELU.h:23
    -
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition ELU.cpp:19
    +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition ELU.cpp:19
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    -
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition ELU.cpp:24
    +
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition ELU.cpp:24
    diff --git a/compiler_2tflchef_2core_2src_2_op_2_e_l_u_8h_source.html b/compiler_2tflchef_2core_2src_2_op_2_e_l_u_8h_source.html index 5b3247be60b..e745643955f 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_e_l_u_8h_source.html +++ b/compiler_2tflchef_2core_2src_2_op_2_e_l_u_8h_source.html @@ -153,10 +153,10 @@
    tflite::BuiltinOperator code(void) const override
    Definition ELU.h:31
    tflite::BuiltinOptions type(void) const override
    Definition ELU.h:33
    ELUChef(const tflchef::Operation *operation)
    Definition ELU.h:25
    -
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition ELU.cpp:19
    +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition ELU.cpp:19
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    -
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition ELU.cpp:24
    +
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition ELU.cpp:24
    diff --git a/compiler_2tflchef_2core_2src_2_op_2_fully_connected_8cpp_source.html b/compiler_2tflchef_2core_2src_2_op_2_fully_connected_8cpp_source.html index e21b68f3b2f..22041cae64e 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_fully_connected_8cpp_source.html +++ b/compiler_2tflchef_2core_2src_2_op_2_fully_connected_8cpp_source.html @@ -118,8 +118,7 @@
    19
    20#include <cassert>
    21
    -
    - +
    23{
    24 auto &operation = (*_operation);
    25
    @@ -133,20 +132,17 @@
    33
    34 return fc_options_builder.Finish().Union();
    35}
    -
    36
    -
    -
    37std::unique_ptr<OpChef> FullyConnectedChefFactory::create(const tflchef::Operation *operation) const
    +
    37std::unique_ptr<OpChef> FullyConnectedChefFactory::create(const tflchef::Operation *operation) const
    38{
    39 return std::unique_ptr<OpChef>{new FullyConnectedChef{operation}};
    40}
    -
    - -
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    + +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    void Finish(Offset< T > root, const char *file_identifier=nullptr)
    Finish serializing a buffer by writing the root offset.
    -
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    +
    std::unique_ptr< OpChef > create(const circlechef::Operation *operation) const override
    tflite::ActivationFunctionType as_tflite_activation(const tflchef::Activation &value)
    Definition Convert.cpp:37
    diff --git a/compiler_2tflchef_2core_2src_2_op_2_fully_connected_8h_source.html b/compiler_2tflchef_2core_2src_2_op_2_fully_connected_8h_source.html index 9a93619e8e3..605c7521ecf 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_fully_connected_8h_source.html +++ b/compiler_2tflchef_2core_2src_2_op_2_fully_connected_8h_source.html @@ -118,8 +118,7 @@
    19
    20#include "OpChef.h"
    21
    -
    -
    22class FullyConnectedChef final : public OpChef
    +
    22class FullyConnectedChef final : public OpChef
    23{
    24public:
    @@ -144,29 +143,26 @@
    39 }
    40
    - +
    42
    43private:
    44 const tflchef::Operation *_operation;
    45};
    -
    46
    -
    - +
    47struct FullyConnectedChefFactory final : public OpChefFactory
    48{
    -
    49 std::unique_ptr<OpChef> create(const tflchef::Operation *operation) const override;
    +
    49 std::unique_ptr<OpChef> create(const tflchef::Operation *operation) const override;
    50};
    -
    51
    52#endif // __OP_FULLYCONNECTED_H__
    - +
    tflite::BuiltinOptions type(void) const override
    tflite::BuiltinOperator code(void) const override
    FullyConnectedChef(const tflchef::Operation *operation)
    -
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    - -
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    + +
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    diff --git a/compiler_2tflchef_2core_2src_2_op_2_leaky_relu_8cpp.html b/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8cpp.html similarity index 94% rename from compiler_2tflchef_2core_2src_2_op_2_leaky_relu_8cpp.html rename to compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8cpp.html index 7b8dcc4321a..17e42437066 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_leaky_relu_8cpp.html +++ b/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8cpp.html @@ -63,7 +63,7 @@ diff --git a/compiler_2tflchef_2core_2src_2_op_2_leaky_relu_8cpp_source.html b/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8cpp_source.html similarity index 95% rename from compiler_2tflchef_2core_2src_2_op_2_leaky_relu_8cpp_source.html rename to compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8cpp_source.html index d223cc4f19f..ce90d5d9885 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_leaky_relu_8cpp_source.html +++ b/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    LeakyRelu.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -136,18 +136,18 @@
    34}
    -
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition LeakyRelu.cpp:19
    +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition LeakyRelu.cpp:19
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    void Finish(Offset< T > root, const char *file_identifier=nullptr)
    Finish serializing a buffer by writing the root offset.
    -
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition LeakyRelu.cpp:31
    +
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition LeakyRelu.cpp:31
    diff --git a/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8h_source.html b/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8h_source.html index f7cc8aa9e5d..9ed45f2c6fe 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8h_source.html +++ b/compiler_2tflchef_2core_2src_2_op_2_leaky_re_l_u_8h_source.html @@ -155,13 +155,13 @@
    48
    49#endif // __OP_LEAKY_RELU_H__
    -
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition LeakyRelu.cpp:19
    +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition LeakyRelu.cpp:19
    LeakyReluChef(const tflchef::Operation *operation)
    Definition LeakyRelu.h:25
    tflite::BuiltinOperator code(void) const override
    Definition LeakyRelu.h:31
    tflite::BuiltinOptions type(void) const override
    Definition LeakyRelu.h:33
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    -
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition LeakyRelu.cpp:31
    +
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition LeakyRelu.cpp:31
    diff --git a/compiler_2tflchef_2core_2src_2_op_2_relu6_8cpp.html b/compiler_2tflchef_2core_2src_2_op_2_re_l_u6_8cpp.html similarity index 94% rename from compiler_2tflchef_2core_2src_2_op_2_relu6_8cpp.html rename to compiler_2tflchef_2core_2src_2_op_2_re_l_u6_8cpp.html index f3dc345d019..396b0c9a5da 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_relu6_8cpp.html +++ b/compiler_2tflchef_2core_2src_2_op_2_re_l_u6_8cpp.html @@ -63,7 +63,7 @@ diff --git a/compiler_2tflchef_2core_2src_2_op_2_relu6_8cpp_source.html b/compiler_2tflchef_2core_2src_2_op_2_re_l_u6_8cpp_source.html similarity index 95% rename from compiler_2tflchef_2core_2src_2_op_2_relu6_8cpp_source.html rename to compiler_2tflchef_2core_2src_2_op_2_re_l_u6_8cpp_source.html index 7e3bf3c1741..cf415c8cc60 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_relu6_8cpp_source.html +++ b/compiler_2tflchef_2core_2src_2_op_2_re_l_u6_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    ReLU6.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -129,17 +129,17 @@
    27}
    -
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition ReLU6.cpp:19
    +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition ReLU6.cpp:19
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    -
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition ReLU6.cpp:24
    +
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition ReLU6.cpp:24
    diff --git a/compiler_2tflchef_2core_2src_2_op_2_re_l_u6_8h_source.html b/compiler_2tflchef_2core_2src_2_op_2_re_l_u6_8h_source.html index a8f4f553d6a..ab16b55d7ee 100644 --- a/compiler_2tflchef_2core_2src_2_op_2_re_l_u6_8h_source.html +++ b/compiler_2tflchef_2core_2src_2_op_2_re_l_u6_8h_source.html @@ -152,13 +152,13 @@
    ReLU6Chef(const tflchef::Operation *operation)
    Definition ReLU6.h:25
    tflite::BuiltinOptions type(void) const override
    Definition ReLU6.h:33
    -
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition ReLU6.cpp:19
    +
    flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
    Definition ReLU6.cpp:19
    tflite::BuiltinOperator code(void) const override
    Definition ReLU6.h:31
    Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
    -
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition ReLU6.cpp:24
    +
    std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
    Definition ReLU6.cpp:24
    diff --git a/compiler_2tflchef_2tflite_2src_2_op_2conv2d_8cpp.html b/compiler_2tflchef_2tflite_2src_2_op_2_conv2_d_8cpp.html similarity index 94% rename from compiler_2tflchef_2tflite_2src_2_op_2conv2d_8cpp.html rename to compiler_2tflchef_2tflite_2src_2_op_2_conv2_d_8cpp.html index 4bd7cfd3781..1664b61868c 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2conv2d_8cpp.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -97,7 +97,7 @@
    #include "Conv2D.h"
    #include "Convert.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -109,7 +109,7 @@ diff --git a/compiler_2tflchef_2tflite_2src_2_op_2conv2d_8cpp_source.html b/compiler_2tflchef_2tflite_2src_2_op_2_conv2_d_8cpp_source.html similarity index 96% rename from compiler_2tflchef_2tflite_2src_2_op_2conv2d_8cpp_source.html rename to compiler_2tflchef_2tflite_2src_2_op_2_conv2_d_8cpp_source.html index dfc276fc4b8..ab6b13605c3 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2conv2d_8cpp_source.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -161,8 +161,8 @@
    58
    59} // namespace tflchef
    Loads TF lite file and provides helpers to access attributes.
    -
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition Conv2D.cpp:24
    -
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition Conv2D.cpp:37
    +
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition Conv2D.cpp:24
    +
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition Conv2D.cpp:37
    tflchef::Padding as_tflchef_padding(const tflite::Padding padding)
    Definition Convert.cpp:71
    std::vector< T > as_index_vector(const flatbuffers::Vector< T > *flat_array)
    Definition Convert.h:47
    @@ -175,7 +175,7 @@ diff --git a/compiler_2tflchef_2tflite_2src_2_op_2_elu_8cpp.html b/compiler_2tflchef_2tflite_2src_2_op_2_e_l_u_8cpp.html similarity index 95% rename from compiler_2tflchef_2tflite_2src_2_op_2_elu_8cpp.html rename to compiler_2tflchef_2tflite_2src_2_op_2_e_l_u_8cpp.html index 394a8f94132..332ec29cd33 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2_elu_8cpp.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2_e_l_u_8cpp.html @@ -63,7 +63,7 @@
    @@ -97,7 +97,7 @@
    #include "ELU.h"
    #include "Convert.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -109,7 +109,7 @@ diff --git a/compiler_2tflchef_2tflite_2src_2_op_2_elu_8cpp_source.html b/compiler_2tflchef_2tflite_2src_2_op_2_e_l_u_8cpp_source.html similarity index 96% rename from compiler_2tflchef_2tflite_2src_2_op_2_elu_8cpp_source.html rename to compiler_2tflchef_2tflite_2src_2_op_2_e_l_u_8cpp_source.html index 33170665e77..622bb0481a1 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2_elu_8cpp_source.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2_e_l_u_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    ELU.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -142,8 +142,8 @@
    39
    40} // namespace tflchef
    Loads TF lite file and provides helpers to access attributes.
    -
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition ELU.cpp:24
    -
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition ELU.cpp:30
    +
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition ELU.cpp:24
    +
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition ELU.cpp:30
    tflchef::Operation * chefop
    @@ -153,7 +153,7 @@ diff --git a/compiler_2tflchef_2tflite_2src_2_op_2_leaky_relu_8cpp.html b/compiler_2tflchef_2tflite_2src_2_op_2_leaky_re_l_u_8cpp.html similarity index 95% rename from compiler_2tflchef_2tflite_2src_2_op_2_leaky_relu_8cpp.html rename to compiler_2tflchef_2tflite_2src_2_op_2_leaky_re_l_u_8cpp.html index 892ae72cd0a..e90c4bb7d93 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2_leaky_relu_8cpp.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2_leaky_re_l_u_8cpp.html @@ -63,7 +63,7 @@
    @@ -97,7 +97,7 @@
    #include "LeakyRelu.h"
    #include "Convert.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -109,7 +109,7 @@ diff --git a/compiler_2tflchef_2tflite_2src_2_op_2_leaky_relu_8cpp_source.html b/compiler_2tflchef_2tflite_2src_2_op_2_leaky_re_l_u_8cpp_source.html similarity index 96% rename from compiler_2tflchef_2tflite_2src_2_op_2_leaky_relu_8cpp_source.html rename to compiler_2tflchef_2tflite_2src_2_op_2_leaky_re_l_u_8cpp_source.html index 10c2d50a8d4..701942deed4 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2_leaky_relu_8cpp_source.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2_leaky_re_l_u_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    LeakyRelu.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -148,8 +148,8 @@
    45
    46} // namespace tflchef
    Loads TF lite file and provides helpers to access attributes.
    -
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition LeakyRelu.cpp:24
    -
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition LeakyRelu.cpp:30
    +
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition LeakyRelu.cpp:24
    +
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition LeakyRelu.cpp:30
    tflchef::Operation * chefop
    @@ -159,7 +159,7 @@ diff --git a/compiler_2tflchef_2tflite_2src_2_op_2_relu6_8cpp.html b/compiler_2tflchef_2tflite_2src_2_op_2_re_l_u6_8cpp.html similarity index 94% rename from compiler_2tflchef_2tflite_2src_2_op_2_relu6_8cpp.html rename to compiler_2tflchef_2tflite_2src_2_op_2_re_l_u6_8cpp.html index 89b392c4b94..d2835da8843 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2_relu6_8cpp.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2_re_l_u6_8cpp.html @@ -63,7 +63,7 @@
    @@ -97,7 +97,7 @@
    #include "ReLU6.h"
    #include "Convert.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -109,7 +109,7 @@ diff --git a/compiler_2tflchef_2tflite_2src_2_op_2_relu6_8cpp_source.html b/compiler_2tflchef_2tflite_2src_2_op_2_re_l_u6_8cpp_source.html similarity index 95% rename from compiler_2tflchef_2tflite_2src_2_op_2_relu6_8cpp_source.html rename to compiler_2tflchef_2tflite_2src_2_op_2_re_l_u6_8cpp_source.html index adb38245fa3..f8906503717 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2_relu6_8cpp_source.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2_re_l_u6_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    ReLU6.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -142,8 +142,8 @@
    39
    40} // namespace tflchef
    Loads TF lite file and provides helpers to access attributes.
    -
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition ReLU6.cpp:30
    -
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition ReLU6.cpp:24
    +
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition ReLU6.cpp:30
    +
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition ReLU6.cpp:24
    tflchef::Operation * chefop
    @@ -153,7 +153,7 @@ diff --git a/compiler_2tflchef_2tflite_2src_2_op_2include_2_conv2_d_8h_source.html b/compiler_2tflchef_2tflite_2src_2_op_2include_2_conv2_d_8h_source.html index b4a340aeb1c..adea77389a0 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2include_2_conv2_d_8h_source.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2include_2_conv2_d_8h_source.html @@ -138,8 +138,8 @@
    Loads TF lite file and provides helpers to access attributes.
    Interface for each operators to build tflchef.
    tflchef operator builder for Conv2D
    Definition Conv2D.h:29
    -
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition Conv2D.cpp:24
    -
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition Conv2D.cpp:37
    +
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition Conv2D.cpp:24
    +
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition Conv2D.cpp:37
    diff --git a/compiler_2tflchef_2tflite_2src_2_op_2include_2_e_l_u_8h_source.html b/compiler_2tflchef_2tflite_2src_2_op_2include_2_e_l_u_8h_source.html index 37b119f160b..e657f74b3c6 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2include_2_e_l_u_8h_source.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2include_2_e_l_u_8h_source.html @@ -138,8 +138,8 @@
    Loads TF lite file and provides helpers to access attributes.
    Interface for each operators to build tflchef.
    tflchef operator builder for ELU
    Definition ELU.h:29
    -
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition ELU.cpp:24
    -
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition ELU.cpp:30
    +
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition ELU.cpp:24
    +
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition ELU.cpp:30
    diff --git a/compiler_2tflchef_2tflite_2src_2_op_2include_2_leaky_re_l_u_8h_source.html b/compiler_2tflchef_2tflite_2src_2_op_2include_2_leaky_re_l_u_8h_source.html index e72c3136071..5339f85cf88 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2include_2_leaky_re_l_u_8h_source.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2include_2_leaky_re_l_u_8h_source.html @@ -138,8 +138,8 @@
    Loads TF lite file and provides helpers to access attributes.
    Interface for each operators to build tflchef.
    tflchef operator builder for LeakyReLU
    Definition LeakyRelu.h:29
    -
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition LeakyRelu.cpp:24
    -
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition LeakyRelu.cpp:30
    +
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition LeakyRelu.cpp:24
    +
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition LeakyRelu.cpp:30
    diff --git a/compiler_2tflchef_2tflite_2src_2_op_2include_2_re_l_u6_8h_source.html b/compiler_2tflchef_2tflite_2src_2_op_2include_2_re_l_u6_8h_source.html index 2e66372d4eb..3ee0c22cd6c 100644 --- a/compiler_2tflchef_2tflite_2src_2_op_2include_2_re_l_u6_8h_source.html +++ b/compiler_2tflchef_2tflite_2src_2_op_2include_2_re_l_u6_8h_source.html @@ -138,8 +138,8 @@
    Loads TF lite file and provides helpers to access attributes.
    Interface for each operators to build tflchef.
    tflchef operator builder for ReLU6
    Definition ReLU6.h:29
    -
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition ReLU6.cpp:30
    -
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition ReLU6.cpp:24
    +
    tflchef::Operation * build(RecipeChefContext *ctx) const override
    Definition ReLU6.cpp:30
    +
    void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
    Definition ReLU6.cpp:24
    diff --git a/compiler_2vconone_2driver_2_driver_8cpp_source.html b/compiler_2vconone_2driver_2_driver_8cpp_source.html index aa8315eb413..c433ff779bf 100644 --- a/compiler_2vconone_2driver_2_driver_8cpp_source.html +++ b/compiler_2vconone_2driver_2_driver_8cpp_source.html @@ -119,7 +119,7 @@
    20#include <iostream>
    21
    -
    22int main(int argc, char *argv[])
    +
    22int main(int argc, char *argv[])
    23{
    24 auto str = vconone::get_string();
    25 if (argc >= 2)
    @@ -137,7 +137,7 @@
    std::string get_copyright(void)
    get_copyright will return copyright string
    Definition version.cpp:54
    std::string get_string(void)
    get_string will return string of major.minor.patch (without build)
    Definition version.cpp:44
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/core_2src_2exec_2_execution_8cc.html b/core_2src_2exec_2execution_8cc.html similarity index 95% rename from core_2src_2exec_2_execution_8cc.html rename to core_2src_2exec_2execution_8cc.html index c43a17a4153..7efb199f60c 100644 --- a/core_2src_2exec_2_execution_8cc.html +++ b/core_2src_2exec_2execution_8cc.html @@ -63,7 +63,7 @@
    @@ -98,7 +98,7 @@ #include "train/TrainableExecutors.h"
    #include "util/logging.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -112,7 +112,7 @@ diff --git a/core_2src_2exec_2_execution_8cc_source.html b/core_2src_2exec_2execution_8cc_source.html similarity index 97% rename from core_2src_2exec_2_execution_8cc_source.html rename to core_2src_2exec_2execution_8cc_source.html index d065be41657..f32b9e1ec36 100644 --- a/core_2src_2exec_2_execution_8cc_source.html +++ b/core_2src_2exec_2execution_8cc_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Execution.cc
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -369,23 +369,23 @@
    A tensor class that can be trained.
    Class to define execution instance to collect input/output information for inference and prepare exec...
    Definition Execution.h:43
    -
    Execution(const std::shared_ptr< IExecutors > &executors)
    Construct a new Execution object.
    Definition Execution.cc:28
    -
    void train(uint32_t training_step)
    Train.
    Definition Execution.cc:156
    -
    void waitFinish(void)
    Return when execution is finished.
    Definition Execution.cc:146
    -
    void setInput(const ir::IOIndex &index, const void *buffer, size_t length, ir::Layout layout=ir::Layout::NHWC)
    Set input data's information.
    Definition Execution.cc:48
    -
    bool isFinished(void) const
    Check execution is finished.
    Definition Execution.cc:154
    -
    void changeInputShape(const ir::IOIndex &index, const ir::Shape &new_shape)
    Change input shape.
    Definition Execution.cc:36
    -
    void setInputLayout(const ir::IOIndex &index, ir::Layout layout)
    Set input data's data format.
    Definition Execution.cc:115
    -
    void iterateTrainableTensors(const std::function< void(const ir::OperandIndex &, const backend::train::ITrainableTensor *)> &fn) const
    Iterate trainable tensors.
    Definition Execution.cc:179
    -
    float getLoss(const ir::IOIndex &ind)
    Get loss.
    Definition Execution.cc:168
    -
    ir::Shape getOutputShape(ir::IOIndex ind) const
    Definition Execution.cc:210
    -
    size_t getInputTotalSize(ir::IOIndex ind) const
    Definition Execution.cc:220
    -
    ir::Shape getInputShape(ir::IOIndex ind) const
    Definition Execution.cc:191
    -
    void setOutputLayout(const ir::IOIndex &index, ir::Layout layout)
    Set output data's data format.
    Definition Execution.cc:122
    -
    size_t getOutputTotalSize(ir::IOIndex ind) const
    Definition Execution.cc:226
    -
    void startExecute(void)
    Start asynchronous execution.
    Definition Execution.cc:139
    -
    void setOutput(const ir::IOIndex &index, void *buffer, size_t length, ir::Layout layout=ir::Layout::NHWC)
    Set output data's information.
    Definition Execution.cc:89
    -
    void execute()
    Execution.
    Definition Execution.cc:129
    +
    Execution(const std::shared_ptr< IExecutors > &executors)
    Construct a new Execution object.
    Definition Execution.cc:28
    +
    void train(uint32_t training_step)
    Train.
    Definition Execution.cc:156
    +
    void waitFinish(void)
    Return when execution is finished.
    Definition Execution.cc:146
    +
    void setInput(const ir::IOIndex &index, const void *buffer, size_t length, ir::Layout layout=ir::Layout::NHWC)
    Set input data's information.
    Definition Execution.cc:48
    +
    bool isFinished(void) const
    Check execution is finished.
    Definition Execution.cc:154
    +
    void changeInputShape(const ir::IOIndex &index, const ir::Shape &new_shape)
    Change input shape.
    Definition Execution.cc:36
    +
    void setInputLayout(const ir::IOIndex &index, ir::Layout layout)
    Set input data's data format.
    Definition Execution.cc:115
    +
    void iterateTrainableTensors(const std::function< void(const ir::OperandIndex &, const backend::train::ITrainableTensor *)> &fn) const
    Iterate trainable tensors.
    Definition Execution.cc:179
    +
    float getLoss(const ir::IOIndex &ind)
    Get loss.
    Definition Execution.cc:168
    +
    ir::Shape getOutputShape(ir::IOIndex ind) const
    Definition Execution.cc:210
    +
    size_t getInputTotalSize(ir::IOIndex ind) const
    Definition Execution.cc:220
    +
    ir::Shape getInputShape(ir::IOIndex ind) const
    Definition Execution.cc:191
    +
    void setOutputLayout(const ir::IOIndex &index, ir::Layout layout)
    Set output data's data format.
    Definition Execution.cc:122
    +
    size_t getOutputTotalSize(ir::IOIndex ind) const
    Definition Execution.cc:226
    +
    void startExecute(void)
    Start asynchronous execution.
    Definition Execution.cc:139
    +
    void setOutput(const ir::IOIndex &index, void *buffer, size_t length, ir::Layout layout=ir::Layout::NHWC)
    Set output data's information.
    Definition Execution.cc:89
    +
    void execute()
    Execution.
    Definition Execution.cc:129
    Class to gather executor set for trainable model NN package.
    void train(const IODescription &desc, uint32_t training_step)
    Train.
    void iterateTrainableTensors(const std::function< void(const ir::OperandIndex &, const backend::train::ITrainableTensor *)> &fn) const
    @@ -408,7 +408,7 @@ diff --git a/def2src_8cpp_source.html b/def2src_8cpp_source.html index 5fdf9443369..e5735eb877a 100644 --- a/def2src_8cpp_source.html +++ b/def2src_8cpp_source.html @@ -187,7 +187,7 @@
    85
    -
    86int main(int argc, char *argv[])
    +
    86int main(int argc, char *argv[])
    87{
    88 if (argc < 3)
    89 return -1;
    @@ -210,7 +210,7 @@
    int fileToArray(const std::string &source, const std::string &dest, const std::string &arrName)
    Definition def2src.cpp:21
    std::string extractFileName(std::string path)
    Definition def2src.cpp:73
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dir_000002_000542.html b/dir_000002_000543.html similarity index 100% rename from dir_000002_000542.html rename to dir_000002_000543.html diff --git a/dir_000003_000666.html b/dir_000003_000667.html similarity index 100% rename from dir_000003_000666.html rename to dir_000003_000667.html diff --git a/dir_000005_000667.html b/dir_000005_000668.html similarity index 100% rename from dir_000005_000667.html rename to dir_000005_000668.html diff --git a/dir_000006_000542.html b/dir_000006_000543.html similarity index 100% rename from dir_000006_000542.html rename to dir_000006_000543.html diff --git a/dir_000007_000542.html b/dir_000007_000543.html similarity index 100% rename from dir_000007_000542.html rename to dir_000007_000543.html diff --git a/dir_000008_000987.html b/dir_000008_000989.html similarity index 100% rename from dir_000008_000987.html rename to dir_000008_000989.html diff --git a/dir_000009_000614.html b/dir_000009_000615.html similarity index 100% rename from dir_000009_000614.html rename to dir_000009_000615.html diff --git a/dir_000028_000597.html b/dir_000028_000598.html similarity index 100% rename from dir_000028_000597.html rename to dir_000028_000598.html diff --git a/dir_000029_000572.html b/dir_000029_000573.html similarity index 100% rename from dir_000029_000572.html rename to dir_000029_000573.html diff --git a/dir_000032_000595.html b/dir_000032_000596.html similarity index 100% rename from dir_000032_000595.html rename to dir_000032_000596.html diff --git a/dir_000041_000614.html b/dir_000041_000615.html similarity index 100% rename from dir_000041_000614.html rename to dir_000041_000615.html diff --git a/dir_000041_000972.html b/dir_000041_000974.html similarity index 100% rename from dir_000041_000972.html rename to dir_000041_000974.html diff --git a/dir_000042_000987.html b/dir_000042_000989.html similarity index 100% rename from dir_000042_000987.html rename to dir_000042_000989.html diff --git a/dir_000043_000614.html b/dir_000043_000615.html similarity index 100% rename from dir_000043_000614.html rename to dir_000043_000615.html diff --git a/dir_000044_000614.html b/dir_000044_000615.html similarity index 100% rename from dir_000044_000614.html rename to dir_000044_000615.html diff --git a/dir_000044_000974.html b/dir_000044_000976.html similarity index 100% rename from dir_000044_000974.html rename to dir_000044_000976.html diff --git a/dir_000045_000614.html b/dir_000045_000615.html similarity index 100% rename from dir_000045_000614.html rename to dir_000045_000615.html diff --git a/dir_000045_000976.html b/dir_000045_000978.html similarity index 100% rename from dir_000045_000976.html rename to dir_000045_000978.html diff --git a/dir_000046_000614.html b/dir_000046_000615.html similarity index 100% rename from dir_000046_000614.html rename to dir_000046_000615.html diff --git a/dir_000046_000978.html b/dir_000046_000980.html similarity index 100% rename from dir_000046_000978.html rename to dir_000046_000980.html diff --git a/dir_000047_000614.html b/dir_000047_000615.html similarity index 100% rename from dir_000047_000614.html rename to dir_000047_000615.html diff --git a/dir_000047_000980.html b/dir_000047_000982.html similarity index 100% rename from dir_000047_000980.html rename to dir_000047_000982.html diff --git a/dir_000049_001051.html b/dir_000049_001053.html similarity index 100% rename from dir_000049_001051.html rename to dir_000049_001053.html diff --git a/dir_000052_000542.html b/dir_000052_000543.html similarity index 100% rename from dir_000052_000542.html rename to dir_000052_000543.html diff --git a/dir_000052_000544.html b/dir_000052_000545.html similarity index 100% rename from dir_000052_000544.html rename to dir_000052_000545.html diff --git a/dir_000053_000542.html b/dir_000053_000543.html similarity index 100% rename from dir_000053_000542.html rename to dir_000053_000543.html diff --git a/dir_000054_001028.html b/dir_000054_001030.html similarity index 100% rename from dir_000054_001028.html rename to dir_000054_001030.html diff --git a/dir_000058_000615.html b/dir_000058_000615.html index 7fdb88ee84e..e9690173158 100644 --- a/dir_000058_000615.html +++ b/dir_000058_000615.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit/tools/benchmark -> nnkit-misc Relation +ONE - On-device Neural Engine: compiler/nnkit/tools/benchmark -> nnkit-intf Relation @@ -89,7 +89,7 @@
    -

    benchmark → nnkit-misc Relation

    Namespaces

    File in compiler/nnkit/tools/benchmarkIncludes file in compiler/nnkit-misc
    src / Benchmark.cppcmdline / include / nnkit / VectorArguments.h
    src / Benchmark.cppbackend / include / nnkit / BackendPlugin.h
    +

    benchmark → nnkit-intf Relation

    File in compiler/nnkit/tools/benchmarkIncludes file in compiler/nnkit-intf
    src / Benchmark.cppcmdline / include / nnkit / CmdlineArguments.h
    -

    benchmark → nnkit-intf Relation

    File in compiler/nnkit/tools/benchmarkIncludes file in compiler/nnkit-intf
    src / Benchmark.cppcmdline / include / nnkit / CmdlineArguments.h
    +

    benchmark → nnkit-misc Relation

    File in compiler/nnkit/tools/benchmarkIncludes file in compiler/nnkit-misc
    src / Benchmark.cppcmdline / include / nnkit / VectorArguments.h
    src / Benchmark.cppbackend / include / nnkit / BackendPlugin.h
    -

    cker → ruy Relation

    File in compute/cker/include/ckerIncludes file in compute/cker/include/cker/ruy
    NeonTensorUtils.hRuySupport.h
    +

    cker → runtime Relation

    File in compute/cker/include/ckerIncludes file in runtime
    eigen / eigen_tensor_reduced_instantiations_oss.hlibs / profiling / include / profiling / time.h
    -

    cker → runtime Relation

    File in compute/cker/include/ckerIncludes file in runtime
    eigen / eigen_tensor_reduced_instantiations_oss.hlibs / profiling / include / profiling / time.h
    +

    cker → ruy Relation

    File in compute/cker/include/ckerIncludes file in compute/cker/include/cker/ruy
    NeonTensorUtils.hRuySupport.h
    -

    cmsisnn → common Relation

    File in onert-micro/luci-interpreter/pal/cmsisnnIncludes file in onert-micro/luci-interpreter/pal/common
    PALAveragePool2D.hPALAveragePool2DCommon.h
    PALSoftmax.hPALSoftmaxCommon.h
    PALSVDF.hPALSVDFCommon.h
    +

    cmsisnn → common Relation

    File in onert-micro/luci-interpreter/pal/cmsisnnIncludes file in onert-micro/luci-interpreter/pal/common
    PALAveragePool2D.hPALAveragePool2DCommon.h
    PALSVDF.hPALSVDFCommon.h
    -

    coco → pepper-assert Relation

    File in compiler/cocoIncludes file in compiler/pepper-assert
    core / src / IR / Conv2D.cppinclude / pepper / assert.h
    core / src / IR / Op.cppinclude / pepper / assert.h
    +

    coco → pepper-assert Relation

    File in compiler/cocoIncludes file in compiler/pepper-assert
    core / src / IR / Conv2D.cppinclude / pepper / assert.h
    core / src / IR / Op.cppinclude / pepper / assert.h
    -

    common → core Relation

    File in onert-micro/onert-micro/include/pal/commonIncludes file in onert-micro/onert-micro/include/core
    PALAbs.hOMRuntimeShape.h
    PALArithmeticOpCommon.hOMKernelData.h
    PALMaxPool2DCommon.hOMKernelData.h
    ProcessBroadcastShapes.hOMKernelData.h
    ProcessBroadcastShapes.hOMRuntimeShape.h
    +

    common → core Relation

    File in onert-micro/onert-micro/include/pal/commonIncludes file in onert-micro/onert-micro/include/core
    PALAbs.hOMRuntimeShape.h
    PALArithmeticOpCommon.hOMKernelData.h
    PALMaxPool2DCommon.hOMKernelData.h
    PALSoftmaxCommon.hOMKernelData.h
    ProcessBroadcastShapes.hOMKernelData.h
    ProcessBroadcastShapes.hOMRuntimeShape.h
    -

    core → pepper-assert Relation

    File in compiler/coco/coreIncludes file in compiler/pepper-assert
    src / IR / Conv2D.cppinclude / pepper / assert.h
    src / IR / Op.cppinclude / pepper / assert.h
    +

    core → pepper-assert Relation

    File in compiler/coco/coreIncludes file in compiler/pepper-assert
    src / IR / Conv2D.cppinclude / pepper / assert.h
    src / IR / Op.cppinclude / pepper / assert.h
    -

    dalgona → luci Relation

    File in compiler/dalgonaIncludes file in compiler/luci
    include / Dalgona.hlang / include / luci / IR / Module.h
    src / Dalgona.cpplang / include / luci / IR / DataTypeHelper.h
    src / Dalgona.cppimport / include / luci / Importer.h
    src / PostOperatorHook.hlang / include / luci / IR / CircleNodeVisitor.h
    src / PreOperatorHook.hlang / include / luci / IR / CircleNodeVisitor.h
    src / StringUtils.cpplang / include / luci / IR / CircleNodeDecl.h
    src / StringUtils.hlang / include / luci / IR / CircleOpcode.h
    src / StringUtils.hlang / include / luci / IR / AttrFusedActFunc.h
    src / Utils.cpplang / include / luci / IR / CircleOpcode.h
    src / Utils.cpplang / include / luci / IR / CircleNodeDecl.h
    +

    dalgona → luci Relation

    File in compiler/dalgonaIncludes file in compiler/luci
    include / Dalgona.hlang / include / luci / IR / Module.h
    src / Dalgona.cpplang / include / luci / IR / DataTypeHelper.h
    src / Dalgona.cppimport / include / luci / Importer.h
    src / PostOperatorHook.hlang / include / luci / IR / CircleNodeVisitor.h
    src / PreOperatorHook.hlang / include / luci / IR / CircleNodeVisitor.h
    src / StringUtils.cpplang / include / luci / IR / CircleNodeDecl.h
    src / StringUtils.hlang / include / luci / IR / CircleOpcode.h
    src / StringUtils.hlang / include / luci / IR / AttrFusedActFunc.h
    src / Utils.cpplang / include / luci / IR / CircleOpcode.h
    src / Utils.cpplang / include / luci / IR / CircleNodeDecl.h
    +

    driver → include Relation

    File in compiler/nnc/driverIncludes file in compiler/nnc/include
    Driver.cppbackends / acl_soft_backend / AclCppGenerator.h
    Driver.cpppasses / optimizations / CombineTransposes.h
    Driver.cppsupport / CommandLine.h
    Driver.cpppasses / optimizations / ConstantFoldTranspose.h
    Driver.cppbackends / soft_backend / CPPGenerator.h
    Driver.cpppasses / transformations / DataFormatSwitcher.h
    Driver.cpppasses / optimizations / DeadCodeElimination.h
    Driver.cpppasses / dot_dumper / DumperPass.h
    Driver.cpppasses / optimizations / FuseArithmeticOps.h
    Driver.cppbackends / interpreter / InterpreterBackend.h
    Driver.cpppasses / transformations / LowerConv2D.h
    Driver.cpppass / PassData.h
    Driver.cpppasses / optimizations / SinkRelu.h
    Driver.cpppasses / optimizations / SinkTranspose.h
    Driver.hpass / PassManager.h
    main.cppsupport / CommandLine.h
    main.cpppass / PassException.h
    Options.hsupport / CommandLine.h
    -

    enco → angkor Relation

    File in compiler/encoIncludes file in compiler/angkor
    core / src / ANN / IR / Operand.hinclude / nncc / core / ADT / tensor / Shape.h
    core / src / ANN / IR / OperandInventory.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Layer / Convolution.cppinclude / nncc / core / ADT / kernel / Overlay.h
    frontend / caffe / src / Layer / Convolution.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    frontend / caffe / src / Layer / Input.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    frontend / tflite / src / Op / Activation.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / AveragePool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Concatenation.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Div.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Padding.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Padding.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / ReLU.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / ReLU6.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Sub.cppinclude / nncc / core / ADT / tensor / Shape.h
    core / src / Dims.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / ConcatSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / ConvolutionSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    frontend / caffe / src / PoolingSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / ShapeQuery.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Context.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Convert.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    frontend / tflite / src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    core / src / Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / Shape.h
    core / src / Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    core / src / Transforms / ConcatLowering.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / Layout.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / Layout.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    core / src / Transforms / Split.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    +

    enco → angkor Relation

    File in compiler/encoIncludes file in compiler/angkor
    core / src / ANN / IR / Operand.hinclude / nncc / core / ADT / tensor / Shape.h
    core / src / ANN / IR / OperandInventory.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Layer / Convolution.cppinclude / nncc / core / ADT / kernel / Overlay.h
    frontend / caffe / src / Layer / Convolution.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    frontend / caffe / src / Layer / Input.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    frontend / tflite / src / Op / Activation.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / AveragePool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Concatenation.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Div.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Padding.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Padding.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / ReLU.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / ReLU6.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Op / Sub.cppinclude / nncc / core / ADT / tensor / Shape.h
    core / src / Dims.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / ConcatSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / ConvolutionSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    frontend / caffe / src / PoolingSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / caffe / src / ShapeQuery.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Context.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Convert.cppinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    frontend / tflite / src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    frontend / tflite / src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    core / src / Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / Shape.h
    core / src / Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    core / src / Transforms / ConcatLowering.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / Layout.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / Layout.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    core / src / Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    core / src / Transforms / Split.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    -

    enco → coco Relation

    File in compiler/encoIncludes file in compiler/coco
    core / src / ANN / Binder.hcore / include / coco / IR.h
    core / src / CppGen / Host.hcore / include / coco / IR.h
    core / src / coex / IR.hcore / include / coco / IR.h
    core / src / CppGen / MemoryContext.hcore / include / coco / IR / Bag.h
    core / include / enco / Backend.hcore / include / coco / IR / Module.h
    core / include / enco / Backend.hgeneric / include / coco / IR / Data.h
    frontend / caffe / src / Layer / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / caffe / src / Layer / Eltwise.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / caffe / src / Layer / Pooling.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / caffe / src / Layer / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / caffe / src / Layer / Scale.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Activation.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Activation.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Activation.hcore / include / coco / IR / Block.h
    frontend / tflite / src / Op / Activation.hcore / include / coco / IR / FeatureObject.h
    frontend / tflite / src / Op / AveragePool2D.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / AveragePool2D.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Concatenation.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Conv2D.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Conv2D.cppcore / include / coco / IR / KernelLayouts.h
    frontend / tflite / src / Op / Conv2D.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / DepthwiseConv2D.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / DepthwiseConv2D.cppcore / include / coco / IR / KernelLayouts.h
    frontend / tflite / src / Op / DepthwiseConv2D.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Div.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Div.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / MaxPool2D.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / MaxPool2D.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Padding.cppgeneric / include / coco / IR / Data.h
    frontend / tflite / src / Op / Padding.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Padding.hcore / include / coco / IR / Padding2D.h
    frontend / tflite / src / Op / ReLU.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / ReLU6.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / ReLU6.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Reshape.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Reshape.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Sub.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Sub.cppcore / include / coco / IR / FeatureLayouts.h
    core / src / Code.hcore / include / coco / IR / Module.h
    core / src / Code.hgeneric / include / coco / IR / Data.h
    core / src / CodeIndex.hcore / include / coco / IR / Block.h
    core / src / CodeIndex.hcore / include / coco / IR / Instr.h
    core / src / IRUtils.hcore / include / coco / IR.h
    core / src / Usage.hcore / include / coco / IR.h
    frontend / caffe / src / Context.hcore / include / coco / IR.h
    frontend / caffe / src / Context.hgeneric / include / coco / IR / Data.h
    frontend / caffe / src / IRBuilder.hcore / include / coco / IR / Module.h
    frontend / tflite / src / Context.cppgeneric / include / coco / IR / Data.h
    frontend / tflite / src / Context.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Context.hgeneric / include / coco / IR / Data.h
    frontend / tflite / src / Context.hcore / include / coco / IR / Module.h
    frontend / tflite / src / IRBuilder.hcore / include / coco / IR / Module.h
    frontend / tflite / src / TensorBags.hgeneric / include / coco / IR / Data.h
    frontend / tflite / src / TensorBags.hcore / include / coco / IR / Module.h
    core / src / Support / Debugging.hcore / include / coco / IR.h
    core / src / Transforms / AvgPoolLowering.cppcore / include / coco / IR / FeatureLayouts.h
    core / src / Transforms / DataLayoutConversion.cppcore / include / coco / IR / FeatureLayouts.h
    core / src / Transforms / DataLayoutConversion.cppcore / include / coco / IR / KernelLayouts.h
    core / src / Transforms / Split.cppcore / include / coco / IR.h
    +

    enco → coco Relation

    File in compiler/encoIncludes file in compiler/coco
    core / src / ANN / Binder.hcore / include / coco / IR.h
    core / src / CppGen / Host.hcore / include / coco / IR.h
    core / src / coex / IR.hcore / include / coco / IR.h
    core / src / CppGen / MemoryContext.hcore / include / coco / IR / Bag.h
    core / include / enco / Backend.hcore / include / coco / IR / Module.h
    core / include / enco / Backend.hgeneric / include / coco / IR / Data.h
    frontend / caffe / src / Layer / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / caffe / src / Layer / Eltwise.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / caffe / src / Layer / Pooling.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / caffe / src / Layer / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / caffe / src / Layer / Scale.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Activation.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Activation.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Activation.hcore / include / coco / IR / Block.h
    frontend / tflite / src / Op / Activation.hcore / include / coco / IR / FeatureObject.h
    frontend / tflite / src / Op / AveragePool2D.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / AveragePool2D.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Concatenation.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Conv2D.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Conv2D.cppcore / include / coco / IR / KernelLayouts.h
    frontend / tflite / src / Op / Conv2D.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / DepthwiseConv2D.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / DepthwiseConv2D.cppcore / include / coco / IR / KernelLayouts.h
    frontend / tflite / src / Op / DepthwiseConv2D.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Div.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Div.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / MaxPool2D.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / MaxPool2D.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Padding.cppgeneric / include / coco / IR / Data.h
    frontend / tflite / src / Op / Padding.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Padding.hcore / include / coco / IR / Padding2D.h
    frontend / tflite / src / Op / ReLU.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / ReLU6.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / ReLU6.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Reshape.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Reshape.cppcore / include / coco / IR / FeatureLayouts.h
    frontend / tflite / src / Op / Sub.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Op / Sub.cppcore / include / coco / IR / FeatureLayouts.h
    core / src / Code.hcore / include / coco / IR / Module.h
    core / src / Code.hgeneric / include / coco / IR / Data.h
    core / src / CodeIndex.hcore / include / coco / IR / Block.h
    core / src / CodeIndex.hcore / include / coco / IR / Instr.h
    core / src / IRUtils.hcore / include / coco / IR.h
    core / src / Usage.hcore / include / coco / IR.h
    frontend / caffe / src / Context.hcore / include / coco / IR.h
    frontend / caffe / src / Context.hgeneric / include / coco / IR / Data.h
    frontend / caffe / src / IRBuilder.hcore / include / coco / IR / Module.h
    frontend / tflite / src / Context.cppgeneric / include / coco / IR / Data.h
    frontend / tflite / src / Context.cppcore / include / coco / IR / Module.h
    frontend / tflite / src / Context.hgeneric / include / coco / IR / Data.h
    frontend / tflite / src / Context.hcore / include / coco / IR / Module.h
    frontend / tflite / src / IRBuilder.hcore / include / coco / IR / Module.h
    frontend / tflite / src / TensorBags.hgeneric / include / coco / IR / Data.h
    frontend / tflite / src / TensorBags.hcore / include / coco / IR / Module.h
    core / src / Support / Debugging.hcore / include / coco / IR.h
    core / src / Transforms / AvgPoolLowering.cppcore / include / coco / IR / FeatureLayouts.h
    core / src / Transforms / DataLayoutConversion.cppcore / include / coco / IR / FeatureLayouts.h
    core / src / Transforms / DataLayoutConversion.cppcore / include / coco / IR / KernelLayouts.h
    core / src / Transforms / Split.cppcore / include / coco / IR.h
    -

    enco → morph Relation

    File in compiler/encoIncludes file in compiler/morph
    core / src / ANN / Binder.hinclude / morph / nnapi.h
    frontend / caffe / src / Layer / BatchNorm.cppinclude / morph / caffe.h
    frontend / caffe / src / Layer / Concatenation.cppinclude / morph / caffe.h
    frontend / caffe / src / Layer / Convolution.cppinclude / morph / caffe.h
    frontend / caffe / src / Layer / Eltwise.cppinclude / morph / caffe.h
    frontend / caffe / src / Layer / Pooling.cppinclude / morph / caffe.h
    frontend / caffe / src / Layer / ReLU.cppinclude / morph / caffe.h
    frontend / caffe / src / Layer / Scale.cppinclude / morph / caffe.h
    frontend / tflite / src / Op / AveragePool2D.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / Conv2D.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / DepthwiseConv2D.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / Div.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / MaxPool2D.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / ReLU.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / ReLU6.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / Reshape.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / Sub.cppinclude / morph / tflite.h
    +

    enco → morph Relation

    File in compiler/encoIncludes file in compiler/morph
    core / src / ANN / Binder.hinclude / morph / nnapi.h
    frontend / caffe / src / Layer / BatchNorm.cppinclude / morph / caffe.h
    frontend / caffe / src / Layer / Concatenation.cppinclude / morph / caffe.h
    frontend / caffe / src / Layer / Convolution.cppinclude / morph / caffe.h
    frontend / caffe / src / Layer / Eltwise.cppinclude / morph / caffe.h
    frontend / caffe / src / Layer / Pooling.cppinclude / morph / caffe.h
    frontend / caffe / src / Layer / ReLU.cppinclude / morph / caffe.h
    frontend / caffe / src / Layer / Scale.cppinclude / morph / caffe.h
    frontend / tflite / src / Op / AveragePool2D.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / Conv2D.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / DepthwiseConv2D.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / Div.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / MaxPool2D.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / ReLU.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / ReLU6.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / Reshape.cppinclude / morph / tflite.h
    frontend / tflite / src / Op / Sub.cppinclude / morph / tflite.h
    -

    examples → include Relation

    File in compiler/nest/core/examplesIncludes file in compiler/nest/core/include
    conv2d.cppnest / Module.h
    +

    examples → include Relation

    File in compiler/nest/core/examplesIncludes file in compiler/nest/core/include
    conv2d.cppnest / Module.h
    -

    exec → include Relation

    File in runtime/onert/core/src/execIncludes file in runtime/onert/core/include
    BackendSet.hutil / Set.h
    DataflowExecutor.hcompiler / CodeMap.h
    DataflowExecutor.hir / OperandIndexSequence.h
    DataflowExecutor.hutil / TracingCtx.h
    DynamicShapeInferer.ccexec / DynamicShapeInferer.h
    DynamicShapeInferer.ccutil / ShapeInference.h
    ExecTime.hbackend / Backend.h
    ExecTime.hbackend / IConfig.h
    Execution.ccexec / Execution.h
    ExecutionObservers.hexec / IExecutor.h
    ExecutionObservers.hir / IOperation.h
    ExecutionObservers.hutil / ITimer.h
    ExecutionObservers.hutil / TracingCtx.h
    ExecutorBase.hexec / IExecutor.h
    ExecutorBase.hexec / IODescription.h
    ExecutorBase.hcompiler / LoweredGraph.h
    ExecutorBase.hir / OperationIndexMap.h
    ExecutorBase.hutil / TracingCtx.h
    FunctionSequence.ccexec / FunctionSequence.h
    FunctionSequence.ccbackend / ITensorRegistry.h
    IPermuteFunction.ccexec / IFunction.h
    IPermuteFunction.ccbackend / IPortableTensor.h
    IPermuteFunction.ccutil / Utils.h
    IPermuteFunction.hexec / IFunction.h
    IPermuteFunction.hbackend / ITensor.h
    Job.hbackend / Backend.h
    Job.hexec / FunctionSequence.h
    Job.hir / OperandIndexSequence.h
    JSONExecTime.hbackend / Backend.h
    JSONExecTime.hbackend / IConfig.h
    LinearExecutor.hcompiler / CodeMap.h
    LinearExecutor.hutil / TracingCtx.h
    MinMaxRecorder.ccbackend / ITensor.h
    MinMaxRecorder.hexec / MinMaxMap.h
    MultiModelExecutors.hexec / IExecutors.h
    MultiModelExecutors.hir / NNPkg.h
    ParallelExecutor.ccexec / IFunction.h
    ParallelExecutor.hutil / TracingCtx.h
    ParallelScheduler.hexec / IFunction.h
    SingleModelExecutors.hexec / IExecutors.h
    SingleModelExecutors.hir / NNPkg.h
    WorkQueue.hexec / IFunction.h
    feature / MockTensor.hbackend / ITensor.h
    feature / nchw / Reader.hbackend / ITensor.h
    feature / nchw / View.hbackend / ITensor.h
    feature / nhwc / Reader.hbackend / ITensor.h
    feature / nhwc / Reader.hutil / Utils.h
    feature / nhwc / View.hbackend / ITensor.h
    feature / nhwc / View.hutil / Utils.h
    train / TrainableExecutor.hexec / IExecutor.h
    train / TrainableExecutor.hbackend / train / TrainableBackendContext.h
    train / TrainableExecutor.hcompiler / train / TrainableCodeMap.h
    train / TrainableExecutor.hcompiler / train / LoweredTrainableGraph.h
    train / TrainableExecutor.hir / train / LossInfo.h
    train / TrainableExecutor.hutil / TracingCtx.h
    train / TrainableExecutors.hexec / IExecutors.h
    train / TrainableExecutors.hir / NNPkg.h
    train / TrainableFnSequence.ccexec / train / TrainableFnSequence.h
    +

    exec → include Relation

    File in runtime/onert/core/src/execIncludes file in runtime/onert/core/include
    BackendSet.hutil / Set.h
    DataflowExecutor.hcompiler / CodeMap.h
    DataflowExecutor.hir / OperandIndexSequence.h
    DataflowExecutor.hutil / TracingCtx.h
    DynamicShapeInferer.ccexec / DynamicShapeInferer.h
    DynamicShapeInferer.ccutil / ShapeInference.h
    ExecTime.hbackend / Backend.h
    ExecTime.hbackend / IConfig.h
    Execution.ccexec / Execution.h
    ExecutionObservers.hexec / IExecutor.h
    ExecutionObservers.hir / IOperation.h
    ExecutionObservers.hutil / ITimer.h
    ExecutionObservers.hutil / TracingCtx.h
    ExecutorBase.hexec / IExecutor.h
    ExecutorBase.hexec / IODescription.h
    ExecutorBase.hcompiler / LoweredGraph.h
    ExecutorBase.hir / OperationIndexMap.h
    ExecutorBase.hutil / TracingCtx.h
    FunctionSequence.ccexec / FunctionSequence.h
    FunctionSequence.ccbackend / ITensorRegistry.h
    IPermuteFunction.ccexec / IFunction.h
    IPermuteFunction.ccbackend / IPortableTensor.h
    IPermuteFunction.ccutil / Utils.h
    IPermuteFunction.hexec / IFunction.h
    IPermuteFunction.hbackend / ITensor.h
    Job.hbackend / Backend.h
    Job.hexec / FunctionSequence.h
    Job.hir / OperandIndexSequence.h
    JSONExecTime.hbackend / Backend.h
    JSONExecTime.hbackend / IConfig.h
    LinearExecutor.hcompiler / CodeMap.h
    LinearExecutor.hutil / TracingCtx.h
    MinMaxRecorder.ccbackend / ITensor.h
    MinMaxRecorder.hexec / MinMaxMap.h
    MultiModelExecutors.hexec / IExecutors.h
    MultiModelExecutors.hir / NNPkg.h
    ParallelExecutor.ccexec / IFunction.h
    ParallelExecutor.hutil / TracingCtx.h
    ParallelScheduler.hexec / IFunction.h
    SingleModelExecutors.hexec / IExecutors.h
    SingleModelExecutors.hir / NNPkg.h
    WorkQueue.hexec / IFunction.h
    feature / MockTensor.hbackend / ITensor.h
    feature / nchw / Reader.hbackend / ITensor.h
    feature / nchw / View.hbackend / ITensor.h
    feature / nhwc / Reader.hbackend / ITensor.h
    feature / nhwc / Reader.hutil / Utils.h
    feature / nhwc / View.hbackend / ITensor.h
    feature / nhwc / View.hutil / Utils.h
    train / TrainableExecutor.hexec / IExecutor.h
    train / TrainableExecutor.hbackend / train / TrainableBackendContext.h
    train / TrainableExecutor.hcompiler / train / TrainableCodeMap.h
    train / TrainableExecutor.hcompiler / train / LoweredTrainableGraph.h
    train / TrainableExecutor.hir / train / LossInfo.h
    train / TrainableExecutor.hutil / TracingCtx.h
    train / TrainableExecutors.hexec / IExecutors.h
    train / TrainableExecutors.hir / NNPkg.h
    train / TrainableFnSequence.ccexec / train / TrainableFnSequence.h
    -

    exec → train Relation

    File in runtime/onert/core/src/execIncludes file in runtime/onert/core/src/exec/train
    Execution.ccTrainableExecutors.h
    +

    exec → train Relation

    File in runtime/onert/core/src/execIncludes file in runtime/onert/core/src/exec/train
    Execution.ccTrainableExecutors.h
    -

    execute → include Relation

    File in onert-micro/onert-micro/src/executeIncludes file in onert-micro/onert-micro/include
    OMKernelExecute.cppexecute / OMKernelExecute.h
    OMKernelExecute.cppexecute / OMKernelExecutionBuilder.h
    OMKernelExecute.cppcore / OMKernelType.h
    OMKernelExecutionBuilder.cppexecute / OMKernelExecutionBuilder.h
    OMRuntimeKernel.cppexecute / OMRuntimeKernel.h
    OMTestUtils.cppOMInterpreter.h
    OMTestUtils.cppexecute / OMTestUtils.h
    OMUtils.cppexecute / OMUtils.h
    kernels / Abs.cppexecute / OMKernelExecutionBuilder.h
    kernels / Abs.cppOMStatus.h
    kernels / Abs.cppexecute / OMRuntimeKernel.h
    kernels / Abs.cppcore / OMUtils.h
    kernels / Add.cppexecute / OMUtils.h
    kernels / Add.cppexecute / OMKernelExecutionBuilder.h
    kernels / Add.cppOMStatus.h
    kernels / Add.cppexecute / OMRuntimeKernel.h
    kernels / Add.cppcore / OMUtils.h
    kernels / Add.cppcore / OMRuntimeShape.h
    kernels / Concatenation.cppcore / OMUtils.h
    kernels / Concatenation.cppcore / OMRuntimeShape.h
    kernels / Concatenation.cppcore / OMKernelData.h
    kernels / Concatenation.cppexecute / OMUtils.h
    kernels / Concatenation.cppexecute / OMKernelExecutionBuilder.h
    kernels / Concatenation.cppexecute / OMRuntimeKernel.h
    kernels / Concatenation.cppOMStatus.h
    kernels / Conv2D.cppOMStatus.h
    kernels / Conv2D.cppcore / OMUtils.h
    kernels / Conv2D.cppcore / OMKernelData.h
    kernels / Conv2D.cppexecute / OMKernelExecutionBuilder.h
    kernels / Conv2D.cppexecute / OMUtils.h
    kernels / Conv2D.cppexecute / OMRuntimeKernel.h
    kernels / FullyConnected.cppOMStatus.h
    kernels / FullyConnected.cppcore / OMUtils.h
    kernels / FullyConnected.cppcore / OMKernelData.h
    kernels / FullyConnected.cppexecute / OMKernelExecutionBuilder.h
    kernels / FullyConnected.cppexecute / OMUtils.h
    kernels / FullyConnected.cppexecute / OMRuntimeKernel.h
    kernels / Gather.cppOMStatus.h
    kernels / Gather.cppcore / OMUtils.h
    kernels / Gather.cppcore / OMKernelData.h
    kernels / Gather.cppexecute / OMKernelExecutionBuilder.h
    kernels / Gather.cppexecute / OMUtils.h
    kernels / Gather.cppexecute / OMRuntimeKernel.h
    kernels / Logistic.cppOMStatus.h
    kernels / Logistic.cppcore / OMUtils.h
    kernels / Logistic.cppexecute / OMKernelExecutionBuilder.h
    kernels / Logistic.cppexecute / OMRuntimeKernel.h
    kernels / MaxPool2D.cppOMStatus.h
    kernels / MaxPool2D.cppcore / OMUtils.h
    kernels / MaxPool2D.cppcore / OMKernelData.h
    kernels / MaxPool2D.cppexecute / OMKernelExecutionBuilder.h
    kernels / MaxPool2D.cppexecute / OMUtils.h
    kernels / MaxPool2D.cppexecute / OMRuntimeKernel.h
    kernels / Mul.cppOMStatus.h
    kernels / Mul.cppcore / OMUtils.h
    kernels / Mul.cppcore / OMRuntimeShape.h
    kernels / Mul.cppexecute / OMUtils.h
    kernels / Mul.cppexecute / OMKernelExecutionBuilder.h
    kernels / Mul.cppexecute / OMRuntimeKernel.h
    kernels / Pack.cppOMStatus.h
    kernels / Pack.cppcore / OMUtils.h
    kernels / Pack.cppcore / OMRuntimeShape.h
    kernels / Pack.cppexecute / OMKernelExecutionBuilder.h
    kernels / Pack.cppexecute / OMRuntimeKernel.h
    kernels / Reshape.cppOMStatus.h
    kernels / Reshape.cppcore / OMUtils.h
    kernels / Reshape.cppcore / OMDataType.h
    kernels / Reshape.cppexecute / OMKernelExecutionBuilder.h
    kernels / Reshape.cppexecute / OMRuntimeKernel.h
    kernels / Shape.cppOMStatus.h
    kernels / Shape.cppcore / OMUtils.h
    kernels / Shape.cppexecute / OMKernelExecutionBuilder.h
    kernels / Shape.cppexecute / OMRuntimeKernel.h
    kernels / StridedSlice.cppOMStatus.h
    kernels / StridedSlice.cppcore / OMUtils.h
    kernels / StridedSlice.cppcore / OMKernelData.h
    kernels / StridedSlice.cppexecute / OMKernelExecutionBuilder.h
    kernels / StridedSlice.cppexecute / OMUtils.h
    kernels / StridedSlice.cppexecute / OMRuntimeKernel.h
    kernels / Sub.cppOMStatus.h
    kernels / Sub.cppcore / OMUtils.h
    kernels / Sub.cppcore / OMRuntimeShape.h
    kernels / Sub.cppexecute / OMUtils.h
    kernels / Sub.cppexecute / OMKernelExecutionBuilder.h
    kernels / Sub.cppexecute / OMRuntimeKernel.h
    +

    execute → include Relation

    File in onert-micro/onert-micro/src/executeIncludes file in onert-micro/onert-micro/include
    OMKernelExecute.cppexecute / OMKernelExecute.h
    OMKernelExecute.cppexecute / OMKernelExecutionBuilder.h
    OMKernelExecute.cppcore / OMKernelType.h
    OMKernelExecutionBuilder.cppexecute / OMKernelExecutionBuilder.h
    OMRuntimeKernel.cppexecute / OMRuntimeKernel.h
    OMTestUtils.cppOMInterpreter.h
    OMTestUtils.cppexecute / OMTestUtils.h
    OMUtils.cppexecute / OMUtils.h
    kernels / Abs.cppexecute / OMKernelExecutionBuilder.h
    kernels / Abs.cppOMStatus.h
    kernels / Abs.cppexecute / OMRuntimeKernel.h
    kernels / Abs.cppcore / OMUtils.h
    kernels / Add.cppexecute / OMUtils.h
    kernels / Add.cppexecute / OMKernelExecutionBuilder.h
    kernels / Add.cppOMStatus.h
    kernels / Add.cppexecute / OMRuntimeKernel.h
    kernels / Add.cppcore / OMUtils.h
    kernels / Add.cppcore / OMRuntimeShape.h
    kernels / Concatenation.cppcore / OMUtils.h
    kernels / Concatenation.cppcore / OMRuntimeShape.h
    kernels / Concatenation.cppcore / OMKernelData.h
    kernels / Concatenation.cppexecute / OMUtils.h
    kernels / Concatenation.cppexecute / OMKernelExecutionBuilder.h
    kernels / Concatenation.cppexecute / OMRuntimeKernel.h
    kernels / Concatenation.cppOMStatus.h
    kernels / Conv2D.cppOMStatus.h
    kernels / Conv2D.cppcore / OMUtils.h
    kernels / Conv2D.cppcore / OMKernelData.h
    kernels / Conv2D.cppexecute / OMKernelExecutionBuilder.h
    kernels / Conv2D.cppexecute / OMUtils.h
    kernels / Conv2D.cppexecute / OMRuntimeKernel.h
    kernels / FullyConnected.cppOMStatus.h
    kernels / FullyConnected.cppcore / OMUtils.h
    kernels / FullyConnected.cppcore / OMKernelData.h
    kernels / FullyConnected.cppexecute / OMKernelExecutionBuilder.h
    kernels / FullyConnected.cppexecute / OMUtils.h
    kernels / FullyConnected.cppexecute / OMRuntimeKernel.h
    kernels / Gather.cppOMStatus.h
    kernels / Gather.cppcore / OMUtils.h
    kernels / Gather.cppcore / OMKernelData.h
    kernels / Gather.cppexecute / OMKernelExecutionBuilder.h
    kernels / Gather.cppexecute / OMUtils.h
    kernels / Gather.cppexecute / OMRuntimeKernel.h
    kernels / Logistic.cppOMStatus.h
    kernels / Logistic.cppcore / OMUtils.h
    kernels / Logistic.cppexecute / OMKernelExecutionBuilder.h
    kernels / Logistic.cppexecute / OMRuntimeKernel.h
    kernels / MaxPool2D.cppOMStatus.h
    kernels / MaxPool2D.cppcore / OMUtils.h
    kernels / MaxPool2D.cppcore / OMKernelData.h
    kernels / MaxPool2D.cppexecute / OMKernelExecutionBuilder.h
    kernels / MaxPool2D.cppexecute / OMUtils.h
    kernels / MaxPool2D.cppexecute / OMRuntimeKernel.h
    kernels / Mul.cppOMStatus.h
    kernels / Mul.cppcore / OMUtils.h
    kernels / Mul.cppcore / OMRuntimeShape.h
    kernels / Mul.cppexecute / OMUtils.h
    kernels / Mul.cppexecute / OMKernelExecutionBuilder.h
    kernels / Mul.cppexecute / OMRuntimeKernel.h
    kernels / Pack.cppOMStatus.h
    kernels / Pack.cppcore / OMUtils.h
    kernels / Pack.cppcore / OMRuntimeShape.h
    kernels / Pack.cppexecute / OMKernelExecutionBuilder.h
    kernels / Pack.cppexecute / OMRuntimeKernel.h
    kernels / Reshape.cppOMStatus.h
    kernels / Reshape.cppcore / OMUtils.h
    kernels / Reshape.cppcore / OMDataType.h
    kernels / Reshape.cppexecute / OMKernelExecutionBuilder.h
    kernels / Reshape.cppexecute / OMRuntimeKernel.h
    kernels / Shape.cppOMStatus.h
    kernels / Shape.cppcore / OMUtils.h
    kernels / Shape.cppexecute / OMKernelExecutionBuilder.h
    kernels / Shape.cppexecute / OMRuntimeKernel.h
    kernels / Softmax.cppOMStatus.h
    kernels / Softmax.cppcore / OMUtils.h
    kernels / Softmax.cppexecute / OMKernelExecutionBuilder.h
    kernels / Softmax.cppexecute / OMRuntimeKernel.h
    kernels / StridedSlice.cppOMStatus.h
    kernels / StridedSlice.cppcore / OMUtils.h
    kernels / StridedSlice.cppcore / OMKernelData.h
    kernels / StridedSlice.cppexecute / OMKernelExecutionBuilder.h
    kernels / StridedSlice.cppexecute / OMUtils.h
    kernels / StridedSlice.cppexecute / OMRuntimeKernel.h
    kernels / Sub.cppOMStatus.h
    kernels / Sub.cppcore / OMUtils.h
    kernels / Sub.cppcore / OMRuntimeShape.h
    kernels / Sub.cppexecute / OMUtils.h
    kernels / Sub.cppexecute / OMKernelExecutionBuilder.h
    kernels / Sub.cppexecute / OMRuntimeKernel.h
    -

    exo → pepper-strcast Relation

    File in compiler/exoIncludes file in compiler/pepper-strcast
    src / Knob.cppinclude / pepper / strcast.h
    +

    exo → pepper-str Relation

    File in compiler/exoIncludes file in compiler/pepper-str
    src / Check.hinclude / pepper / str.h
    src / ExoFormattedGraph.cppinclude / pepper / str.h
    @@ -89,12 +89,12 @@
    -

    tf2circle → moco-log Relation

    File in compiler/tf2circleIncludes file in compiler/moco-log
    src / tf2circle.cppinclude / moco / LoggingContext.h
    +

    exo → pepper-strcast Relation

    File in compiler/exoIncludes file in compiler/pepper-strcast
    src / Knob.cppinclude / pepper / strcast.h
    diff --git a/dir_000228_000648.html b/dir_000228_000649.html similarity index 100% rename from dir_000228_000648.html rename to dir_000228_000649.html diff --git a/dir_000228_000656.html b/dir_000228_000657.html similarity index 100% rename from dir_000228_000656.html rename to dir_000228_000657.html diff --git a/dir_000228_000707.html b/dir_000228_000708.html similarity index 100% rename from dir_000228_000707.html rename to dir_000228_000708.html diff --git a/dir_000228_000735.html b/dir_000228_000736.html similarity index 100% rename from dir_000228_000735.html rename to dir_000228_000736.html diff --git a/dir_000228_000744.html b/dir_000228_000745.html similarity index 100% rename from dir_000228_000744.html rename to dir_000228_000745.html diff --git a/dir_000228_000797.html b/dir_000228_000798.html similarity index 100% rename from dir_000228_000797.html rename to dir_000228_000798.html diff --git a/dir_000247_000027.html b/dir_000247_000027.html index 08ecd22aaba..7484c8ded36 100644 --- a/dir_000247_000027.html +++ b/dir_000247_000027.html @@ -89,7 +89,7 @@
    -

    frontend → angkor Relation

    File in compiler/enco/frontendIncludes file in compiler/angkor
    caffe / src / Layer / Convolution.cppinclude / nncc / core / ADT / kernel / Overlay.h
    caffe / src / Layer / Convolution.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    caffe / src / Layer / Input.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    tflite / src / Op / Activation.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / AveragePool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Concatenation.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Div.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Padding.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Padding.hinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / ReLU.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / ReLU6.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Sub.cppinclude / nncc / core / ADT / tensor / Shape.h
    caffe / src / ConcatSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    caffe / src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    caffe / src / ConvolutionSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    caffe / src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    caffe / src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    caffe / src / PoolingSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    caffe / src / ShapeQuery.hinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Context.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Convert.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    tflite / src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    +

    frontend → angkor Relation

    File in compiler/enco/frontendIncludes file in compiler/angkor
    caffe / src / Layer / Convolution.cppinclude / nncc / core / ADT / kernel / Overlay.h
    caffe / src / Layer / Convolution.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    caffe / src / Layer / Input.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    tflite / src / Op / Activation.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / AveragePool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Concatenation.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Div.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Padding.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Padding.hinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / ReLU.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / ReLU6.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Op / Sub.cppinclude / nncc / core / ADT / tensor / Shape.h
    caffe / src / ConcatSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    caffe / src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    caffe / src / ConvolutionSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    caffe / src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    caffe / src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    caffe / src / PoolingSpec.hinclude / nncc / core / ADT / tensor / Shape.h
    caffe / src / ShapeQuery.hinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Context.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Convert.cppinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    tflite / src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    tflite / src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    -

    frontend → coco Relation

    File in compiler/enco/frontendIncludes file in compiler/coco
    caffe / src / Layer / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    caffe / src / Layer / Eltwise.cppcore / include / coco / IR / FeatureLayouts.h
    caffe / src / Layer / Pooling.cppcore / include / coco / IR / FeatureLayouts.h
    caffe / src / Layer / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    caffe / src / Layer / Scale.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Activation.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Activation.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Activation.hcore / include / coco / IR / Block.h
    tflite / src / Op / Activation.hcore / include / coco / IR / FeatureObject.h
    tflite / src / Op / AveragePool2D.cppcore / include / coco / IR / Module.h
    tflite / src / Op / AveragePool2D.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Concatenation.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Conv2D.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Conv2D.cppcore / include / coco / IR / KernelLayouts.h
    tflite / src / Op / Conv2D.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / DepthwiseConv2D.cppcore / include / coco / IR / Module.h
    tflite / src / Op / DepthwiseConv2D.cppcore / include / coco / IR / KernelLayouts.h
    tflite / src / Op / DepthwiseConv2D.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Div.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Div.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / MaxPool2D.cppcore / include / coco / IR / Module.h
    tflite / src / Op / MaxPool2D.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Padding.cppgeneric / include / coco / IR / Data.h
    tflite / src / Op / Padding.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Padding.hcore / include / coco / IR / Padding2D.h
    tflite / src / Op / ReLU.cppcore / include / coco / IR / Module.h
    tflite / src / Op / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / ReLU6.cppcore / include / coco / IR / Module.h
    tflite / src / Op / ReLU6.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Reshape.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Reshape.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Sub.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Sub.cppcore / include / coco / IR / FeatureLayouts.h
    caffe / src / Context.hcore / include / coco / IR.h
    caffe / src / Context.hgeneric / include / coco / IR / Data.h
    caffe / src / IRBuilder.hcore / include / coco / IR / Module.h
    tflite / src / Context.cppgeneric / include / coco / IR / Data.h
    tflite / src / Context.cppcore / include / coco / IR / Module.h
    tflite / src / Context.hgeneric / include / coco / IR / Data.h
    tflite / src / Context.hcore / include / coco / IR / Module.h
    tflite / src / IRBuilder.hcore / include / coco / IR / Module.h
    tflite / src / TensorBags.hgeneric / include / coco / IR / Data.h
    tflite / src / TensorBags.hcore / include / coco / IR / Module.h
    +

    frontend → coco Relation

    File in compiler/enco/frontendIncludes file in compiler/coco
    caffe / src / Layer / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    caffe / src / Layer / Eltwise.cppcore / include / coco / IR / FeatureLayouts.h
    caffe / src / Layer / Pooling.cppcore / include / coco / IR / FeatureLayouts.h
    caffe / src / Layer / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    caffe / src / Layer / Scale.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Activation.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Activation.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Activation.hcore / include / coco / IR / Block.h
    tflite / src / Op / Activation.hcore / include / coco / IR / FeatureObject.h
    tflite / src / Op / AveragePool2D.cppcore / include / coco / IR / Module.h
    tflite / src / Op / AveragePool2D.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Concatenation.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Conv2D.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Conv2D.cppcore / include / coco / IR / KernelLayouts.h
    tflite / src / Op / Conv2D.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / DepthwiseConv2D.cppcore / include / coco / IR / Module.h
    tflite / src / Op / DepthwiseConv2D.cppcore / include / coco / IR / KernelLayouts.h
    tflite / src / Op / DepthwiseConv2D.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Div.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Div.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / MaxPool2D.cppcore / include / coco / IR / Module.h
    tflite / src / Op / MaxPool2D.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Padding.cppgeneric / include / coco / IR / Data.h
    tflite / src / Op / Padding.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Padding.hcore / include / coco / IR / Padding2D.h
    tflite / src / Op / ReLU.cppcore / include / coco / IR / Module.h
    tflite / src / Op / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / ReLU6.cppcore / include / coco / IR / Module.h
    tflite / src / Op / ReLU6.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Reshape.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Reshape.cppcore / include / coco / IR / FeatureLayouts.h
    tflite / src / Op / Sub.cppcore / include / coco / IR / Module.h
    tflite / src / Op / Sub.cppcore / include / coco / IR / FeatureLayouts.h
    caffe / src / Context.hcore / include / coco / IR.h
    caffe / src / Context.hgeneric / include / coco / IR / Data.h
    caffe / src / IRBuilder.hcore / include / coco / IR / Module.h
    tflite / src / Context.cppgeneric / include / coco / IR / Data.h
    tflite / src / Context.cppcore / include / coco / IR / Module.h
    tflite / src / Context.hgeneric / include / coco / IR / Data.h
    tflite / src / Context.hcore / include / coco / IR / Module.h
    tflite / src / IRBuilder.hcore / include / coco / IR / Module.h
    tflite / src / TensorBags.hgeneric / include / coco / IR / Data.h
    tflite / src / TensorBags.hcore / include / coco / IR / Module.h
    -

    frontend → morph Relation

    File in compiler/enco/frontendIncludes file in compiler/morph
    caffe / src / Layer / BatchNorm.cppinclude / morph / caffe.h
    caffe / src / Layer / Concatenation.cppinclude / morph / caffe.h
    caffe / src / Layer / Convolution.cppinclude / morph / caffe.h
    caffe / src / Layer / Eltwise.cppinclude / morph / caffe.h
    caffe / src / Layer / Pooling.cppinclude / morph / caffe.h
    caffe / src / Layer / ReLU.cppinclude / morph / caffe.h
    caffe / src / Layer / Scale.cppinclude / morph / caffe.h
    tflite / src / Op / AveragePool2D.cppinclude / morph / tflite.h
    tflite / src / Op / Conv2D.cppinclude / morph / tflite.h
    tflite / src / Op / DepthwiseConv2D.cppinclude / morph / tflite.h
    tflite / src / Op / Div.cppinclude / morph / tflite.h
    tflite / src / Op / MaxPool2D.cppinclude / morph / tflite.h
    tflite / src / Op / ReLU.cppinclude / morph / tflite.h
    tflite / src / Op / ReLU6.cppinclude / morph / tflite.h
    tflite / src / Op / Reshape.cppinclude / morph / tflite.h
    tflite / src / Op / Sub.cppinclude / morph / tflite.h
    +

    frontend → morph Relation

    File in compiler/enco/frontendIncludes file in compiler/morph
    caffe / src / Layer / BatchNorm.cppinclude / morph / caffe.h
    caffe / src / Layer / Concatenation.cppinclude / morph / caffe.h
    caffe / src / Layer / Convolution.cppinclude / morph / caffe.h
    caffe / src / Layer / Eltwise.cppinclude / morph / caffe.h
    caffe / src / Layer / Pooling.cppinclude / morph / caffe.h
    caffe / src / Layer / ReLU.cppinclude / morph / caffe.h
    caffe / src / Layer / Scale.cppinclude / morph / caffe.h
    tflite / src / Op / AveragePool2D.cppinclude / morph / tflite.h
    tflite / src / Op / Conv2D.cppinclude / morph / tflite.h
    tflite / src / Op / DepthwiseConv2D.cppinclude / morph / tflite.h
    tflite / src / Op / Div.cppinclude / morph / tflite.h
    tflite / src / Op / MaxPool2D.cppinclude / morph / tflite.h
    tflite / src / Op / ReLU.cppinclude / morph / tflite.h
    tflite / src / Op / ReLU6.cppinclude / morph / tflite.h
    tflite / src / Op / Reshape.cppinclude / morph / tflite.h
    tflite / src / Op / Sub.cppinclude / morph / tflite.h
    -

    import → lang Relation

    File in compiler/moco/importIncludes file in compiler/moco/lang
    include / moco / Import / GraphBuilderContext.hinclude / moco / Names.h
    include / moco / Import / ModelSignature.hinclude / moco / Names.h
    include / moco / GraphHelper.hinclude / moco / IR / TFNode.h
    include / moco / Importer.hinclude / moco / Names.h
    src / Nodes / Add.cppinclude / moco / IR / Nodes / TFAdd.h
    src / Nodes / AvgPool.cppinclude / moco / IR / Nodes / TFAvgPool.h
    src / Nodes / AvgPool.cppinclude / moco / Names.h
    src / Nodes / BiasAdd.cppinclude / moco / IR / Nodes / TFBiasAdd.h
    src / Nodes / BiasAdd.cppinclude / moco / Names.h
    src / Nodes / Concat.cppinclude / moco / IR / Nodes / TFConcatV2.h
    src / Nodes / Concat.cppinclude / moco / Names.h
    src / Nodes / Const.cppinclude / moco / Names.h
    src / Nodes / Const.cppinclude / moco / IR / TFNodes.h
    src / Nodes / Conv2D.cppinclude / moco / IR / Nodes / TFConv2D.h
    src / Nodes / Conv2D.cppinclude / moco / Names.h
    src / Nodes / Conv2DBackpropInput.cppinclude / moco / IR / Nodes / TFConv2DBackpropInput.h
    src / Nodes / DepthwiseConv2dNative.cppinclude / moco / IR / Nodes / TFDepthwiseConv2dNative.h
    src / Nodes / DepthwiseConv2dNative.cppinclude / moco / Names.h
    src / Nodes / FakeQuantWithMinMaxVars.cppinclude / moco / IR / Nodes / TFFakeQuantWithMinMaxVars.h
    src / Nodes / FakeQuantWithMinMaxVars.cppinclude / moco / Names.h
    src / Nodes / FusedBatchNorm.cppinclude / moco / IR / Nodes / TFFusedBatchNorm.h
    src / Nodes / Identity.cppinclude / moco / IR / Nodes / TFIdentity.h
    src / Nodes / Identity.cppinclude / moco / Names.h
    src / Nodes / Maximum.cppinclude / moco / IR / Nodes / TFMaximum.h
    src / Nodes / MaxPool.cppinclude / moco / IR / Nodes / TFMaxPool.h
    src / Nodes / MaxPool.cppinclude / moco / Names.h
    src / Nodes / Mean.cppinclude / moco / IR / Nodes / TFMean.h
    src / Nodes / Mul.cppinclude / moco / IR / Nodes / TFMul.h
    src / Nodes / Pack.cppinclude / moco / IR / Nodes / TFPack.h
    src / Nodes / Pack.cppinclude / moco / IR / Nodes / TFConst.h
    src / Nodes / Pack.cppinclude / moco / Names.h
    src / Nodes / Pad.cppinclude / moco / IR / Nodes / TFPad.h
    src / Nodes / Placeholder.cppinclude / moco / IR / Nodes / TFPlaceholder.h
    src / Nodes / Placeholder.cppinclude / moco / Names.h
    src / Nodes / RealDiv.cppinclude / moco / IR / Nodes / TFRealDiv.h
    src / Nodes / Relu.cppinclude / moco / IR / Nodes / TFRelu.h
    src / Nodes / Relu.cppinclude / moco / Names.h
    src / Nodes / Relu6.cppinclude / moco / IR / Nodes / TFRelu6.h
    src / Nodes / Reshape.cppinclude / moco / IR / Nodes / TFReshape.h
    src / Nodes / Reshape.cppinclude / moco / Names.h
    src / Nodes / Rsqrt.cppinclude / moco / IR / Nodes / TFRsqrt.h
    src / Nodes / Shape.cppinclude / moco / IR / Nodes / TFShape.h
    src / Nodes / Softmax.cppinclude / moco / IR / Nodes / TFSoftmax.h
    src / Nodes / Sqrt.cppinclude / moco / IR / Nodes / TFSqrt.h
    src / Nodes / SquaredDifference.cppinclude / moco / IR / Nodes / TFSquaredDifference.h
    src / Nodes / Squeeze.cppinclude / moco / IR / Nodes / TFSqueeze.h
    src / Nodes / Squeeze.cppinclude / moco / Names.h
    src / Nodes / StopGradient.cppinclude / moco / IR / Nodes / TFStopGradient.h
    src / Nodes / StridedSlice.cppinclude / moco / IR / Nodes / TFStridedSlice.h
    src / Nodes / StridedSlice.cppinclude / moco / IR / Nodes / TFConst.h
    src / Nodes / StridedSlice.cppinclude / moco / Names.h
    src / Nodes / Sub.cppinclude / moco / IR / Nodes / TFSub.h
    src / Nodes / Tanh.cppinclude / moco / IR / Nodes / TFTanh.h
    src / Importer.cppinclude / moco / IR / Nodes / TFPlaceholder.h
    src / Importer.cppinclude / moco / IR / TFNode.h
    src / TestHelper.hinclude / moco / IR / TFNode.h
    +

    import → lang Relation

    File in compiler/moco/importIncludes file in compiler/moco/lang
    include / moco / Import / GraphBuilderContext.hinclude / moco / Names.h
    include / moco / Import / ModelSignature.hinclude / moco / Names.h
    include / moco / GraphHelper.hinclude / moco / IR / TFNode.h
    include / moco / Importer.hinclude / moco / Names.h
    src / Nodes / Add.cppinclude / moco / IR / Nodes / TFAdd.h
    src / Nodes / AvgPool.cppinclude / moco / IR / Nodes / TFAvgPool.h
    src / Nodes / AvgPool.cppinclude / moco / Names.h
    src / Nodes / BiasAdd.cppinclude / moco / IR / Nodes / TFBiasAdd.h
    src / Nodes / BiasAdd.cppinclude / moco / Names.h
    src / Nodes / Concat.cppinclude / moco / IR / Nodes / TFConcatV2.h
    src / Nodes / Concat.cppinclude / moco / Names.h
    src / Nodes / Const.cppinclude / moco / Names.h
    src / Nodes / Const.cppinclude / moco / IR / TFNodes.h
    src / Nodes / Conv2D.cppinclude / moco / IR / Nodes / TFConv2D.h
    src / Nodes / Conv2D.cppinclude / moco / Names.h
    src / Nodes / Conv2DBackpropInput.cppinclude / moco / IR / Nodes / TFConv2DBackpropInput.h
    src / Nodes / DepthwiseConv2dNative.cppinclude / moco / IR / Nodes / TFDepthwiseConv2dNative.h
    src / Nodes / DepthwiseConv2dNative.cppinclude / moco / Names.h
    src / Nodes / FakeQuantWithMinMaxVars.cppinclude / moco / IR / Nodes / TFFakeQuantWithMinMaxVars.h
    src / Nodes / FakeQuantWithMinMaxVars.cppinclude / moco / Names.h
    src / Nodes / FusedBatchNorm.cppinclude / moco / IR / Nodes / TFFusedBatchNorm.h
    src / Nodes / Identity.cppinclude / moco / IR / Nodes / TFIdentity.h
    src / Nodes / Identity.cppinclude / moco / Names.h
    src / Nodes / Maximum.cppinclude / moco / IR / Nodes / TFMaximum.h
    src / Nodes / MaxPool.cppinclude / moco / IR / Nodes / TFMaxPool.h
    src / Nodes / MaxPool.cppinclude / moco / Names.h
    src / Nodes / Mean.cppinclude / moco / IR / Nodes / TFMean.h
    src / Nodes / Mul.cppinclude / moco / IR / Nodes / TFMul.h
    src / Nodes / Pack.cppinclude / moco / IR / Nodes / TFPack.h
    src / Nodes / Pack.cppinclude / moco / IR / Nodes / TFConst.h
    src / Nodes / Pack.cppinclude / moco / Names.h
    src / Nodes / Pad.cppinclude / moco / IR / Nodes / TFPad.h
    src / Nodes / Placeholder.cppinclude / moco / IR / Nodes / TFPlaceholder.h
    src / Nodes / Placeholder.cppinclude / moco / Names.h
    src / Nodes / RealDiv.cppinclude / moco / IR / Nodes / TFRealDiv.h
    src / Nodes / Relu.cppinclude / moco / IR / Nodes / TFRelu.h
    src / Nodes / Relu.cppinclude / moco / Names.h
    src / Nodes / Relu6.cppinclude / moco / IR / Nodes / TFRelu6.h
    src / Nodes / Reshape.cppinclude / moco / IR / Nodes / TFReshape.h
    src / Nodes / Reshape.cppinclude / moco / Names.h
    src / Nodes / Rsqrt.cppinclude / moco / IR / Nodes / TFRsqrt.h
    src / Nodes / Shape.cppinclude / moco / IR / Nodes / TFShape.h
    src / Nodes / Softmax.cppinclude / moco / IR / Nodes / TFSoftmax.h
    src / Nodes / Sqrt.cppinclude / moco / IR / Nodes / TFSqrt.h
    src / Nodes / SquaredDifference.cppinclude / moco / IR / Nodes / TFSquaredDifference.h
    src / Nodes / Squeeze.cppinclude / moco / IR / Nodes / TFSqueeze.h
    src / Nodes / Squeeze.cppinclude / moco / Names.h
    src / Nodes / StopGradient.cppinclude / moco / IR / Nodes / TFStopGradient.h
    src / Nodes / StridedSlice.cppinclude / moco / IR / Nodes / TFStridedSlice.h
    src / Nodes / StridedSlice.cppinclude / moco / IR / Nodes / TFConst.h
    src / Nodes / StridedSlice.cppinclude / moco / Names.h
    src / Nodes / Sub.cppinclude / moco / IR / Nodes / TFSub.h
    src / Nodes / Tanh.cppinclude / moco / IR / Nodes / TFTanh.h
    src / Importer.cppinclude / moco / IR / Nodes / TFPlaceholder.h
    src / Importer.cppinclude / moco / IR / TFNode.h
    src / TestHelper.hinclude / moco / IR / TFNode.h
    -

    import → loco Relation

    File in compiler/moco/importIncludes file in compiler/loco
    include / moco / Import / GraphBuilderContext.hinclude / loco.h
    include / moco / Import / ModelSignature.hinclude / loco.h
    include / moco / GraphHelper.hinclude / loco.h
    include / moco / Importer.hinclude / loco.h
    src / Nodes / Add.cppinclude / loco.h
    src / Nodes / AvgPool.cppinclude / loco / IR / PermutingCodec.h
    src / Nodes / BiasAdd.cppinclude / loco.h
    src / Nodes / BiasAdd.cppinclude / loco / IR / PermutingCodec.h
    src / Nodes / Concat.cppinclude / loco.h
    src / Nodes / Const.cppinclude / loco.h
    src / Nodes / Conv2D.cppinclude / loco.h
    src / Nodes / Conv2D.cppinclude / loco / IR / PermutingCodec.h
    src / Nodes / Conv2DBackpropInput.cppinclude / loco.h
    src / Nodes / DepthwiseConv2dNative.cppinclude / loco / IR / PermutingCodec.h
    src / Nodes / FakeQuantWithMinMaxVars.cppinclude / loco / IR / PermutingCodec.h
    src / Nodes / FusedBatchNorm.cppinclude / loco.h
    src / Nodes / Identity.cppinclude / loco.h
    src / Nodes / Maximum.cppinclude / loco.h
    src / Nodes / MaxPool.cppinclude / loco.h
    src / Nodes / MaxPool.cppinclude / loco / IR / PermutingCodec.h
    src / Nodes / Mean.cppinclude / loco.h
    src / Nodes / Mul.cppinclude / loco.h
    src / Nodes / Pack.cppinclude / loco.h
    src / Nodes / Pack.cppinclude / loco / IR / NodeShape.h
    src / Nodes / Pad.cppinclude / loco.h
    src / Nodes / RealDiv.cppinclude / loco.h
    src / Nodes / Relu.cppinclude / loco.h
    src / Nodes / Reshape.cppinclude / loco.h
    src / Nodes / Rsqrt.cppinclude / loco.h
    src / Nodes / Shape.cppinclude / loco.h
    src / Nodes / Softmax.cppinclude / loco.h
    src / Nodes / Sqrt.cppinclude / loco.h
    src / Nodes / SquaredDifference.cppinclude / loco.h
    src / Nodes / Squeeze.cppinclude / loco.h
    src / Nodes / StopGradient.cppinclude / loco.h
    src / Nodes / StridedSlice.cppinclude / loco.h
    src / Nodes / Sub.cppinclude / loco.h
    src / Nodes / Tanh.cppinclude / loco.h
    src / TestHelper.hinclude / loco.h
    +

    import → loco Relation

    File in compiler/moco/importIncludes file in compiler/loco
    include / moco / Import / GraphBuilderContext.hinclude / loco.h
    include / moco / Import / ModelSignature.hinclude / loco.h
    include / moco / GraphHelper.hinclude / loco.h
    include / moco / Importer.hinclude / loco.h
    src / Nodes / Add.cppinclude / loco.h
    src / Nodes / AvgPool.cppinclude / loco / IR / PermutingCodec.h
    src / Nodes / BiasAdd.cppinclude / loco.h
    src / Nodes / BiasAdd.cppinclude / loco / IR / PermutingCodec.h
    src / Nodes / Concat.cppinclude / loco.h
    src / Nodes / Const.cppinclude / loco.h
    src / Nodes / Conv2D.cppinclude / loco.h
    src / Nodes / Conv2D.cppinclude / loco / IR / PermutingCodec.h
    src / Nodes / Conv2DBackpropInput.cppinclude / loco.h
    src / Nodes / DepthwiseConv2dNative.cppinclude / loco / IR / PermutingCodec.h
    src / Nodes / FakeQuantWithMinMaxVars.cppinclude / loco / IR / PermutingCodec.h
    src / Nodes / FusedBatchNorm.cppinclude / loco.h
    src / Nodes / Identity.cppinclude / loco.h
    src / Nodes / Maximum.cppinclude / loco.h
    src / Nodes / MaxPool.cppinclude / loco.h
    src / Nodes / MaxPool.cppinclude / loco / IR / PermutingCodec.h
    src / Nodes / Mean.cppinclude / loco.h
    src / Nodes / Mul.cppinclude / loco.h
    src / Nodes / Pack.cppinclude / loco.h
    src / Nodes / Pack.cppinclude / loco / IR / NodeShape.h
    src / Nodes / Pad.cppinclude / loco.h
    src / Nodes / RealDiv.cppinclude / loco.h
    src / Nodes / Relu.cppinclude / loco.h
    src / Nodes / Reshape.cppinclude / loco.h
    src / Nodes / Rsqrt.cppinclude / loco.h
    src / Nodes / Shape.cppinclude / loco.h
    src / Nodes / Softmax.cppinclude / loco.h
    src / Nodes / Sqrt.cppinclude / loco.h
    src / Nodes / SquaredDifference.cppinclude / loco.h
    src / Nodes / Squeeze.cppinclude / loco.h
    src / Nodes / StopGradient.cppinclude / loco.h
    src / Nodes / StridedSlice.cppinclude / loco.h
    src / Nodes / Sub.cppinclude / loco.h
    src / Nodes / Tanh.cppinclude / loco.h
    src / TestHelper.hinclude / loco.h
    +

    import → oops Relation

    File in compiler/moco/importIncludes file in compiler/oops
    src / Nodes / AvgPool.cppinclude / oops / UserExn.h
    src / Nodes / BiasAdd.cppinclude / oops / UserExn.h
    src / Nodes / Const.cppinclude / oops / UserExn.h
    src / Nodes / Conv2D.cppinclude / oops / UserExn.h
    src / Nodes / Conv2DBackpropInput.cppinclude / oops / UserExn.h
    src / Nodes / DepthwiseConv2dNative.cppinclude / oops / UserExn.h
    src / Nodes / MaxPool.cppinclude / oops / UserExn.h
    src / Nodes / Squeeze.cppinclude / oops / UserExn.h
    src / Nodes / StridedSlice.cppinclude / oops / UserExn.h
    src / GraphBuilderContext.cppinclude / oops / UserExn.h
    src / Importer.cppinclude / oops / UserExn.h
    src / ModelSignature.cppinclude / oops / UserExn.h
    -

    import → include Relation

    File in onert-micro/onert-micro/src/importIncludes file in onert-micro/onert-micro/include
    OMExecutionPlanCreator.cppimport / OMExecutionPlanCreator.h
    OMKernelConfiguration.cppimport / OMKernelConfiguration.h
    OMKernelConfiguration.cppimport / OMKernelConfigureBuilder.h
    OMKernelConfiguration.cppcore / OMKernelType.h
    OMKernelConfigureBuilder.cppimport / OMKernelConfigureBuilder.h
    kernels / Abs.cppimport / OMKernelConfigureBuilder.h
    kernels / Abs.cppcore / OMUtils.h
    kernels / Abs.cppOMStatus.h
    kernels / Abs.cppexecute / OMRuntimeKernel.h
    kernels / Add.cppimport / OMKernelConfigureBuilder.h
    kernels / Add.cppcore / OMUtils.h
    kernels / Add.cppOMStatus.h
    kernels / Add.cppexecute / OMRuntimeKernel.h
    kernels / Concatenation.cppimport / OMKernelConfigureBuilder.h
    kernels / Concatenation.cppcore / OMUtils.h
    kernels / Concatenation.cppOMStatus.h
    kernels / Concatenation.cppexecute / OMRuntimeKernel.h
    kernels / Concatenation.cppcore / OMDataType.h
    kernels / Conv2D.cppOMStatus.h
    kernels / Conv2D.cppcore / OMUtils.h
    kernels / Conv2D.cppcore / OMKernelData.h
    kernels / Conv2D.cppimport / OMKernelConfigureBuilder.h
    kernels / Conv2D.cppexecute / OMRuntimeKernel.h
    kernels / Conv2D.cppexecute / OMUtils.h
    kernels / FullyConnected.cppOMStatus.h
    kernels / FullyConnected.cppimport / OMKernelConfigureBuilder.h
    kernels / FullyConnected.cppcore / OMUtils.h
    kernels / FullyConnected.cppcore / OMKernelData.h
    kernels / FullyConnected.cppexecute / OMRuntimeKernel.h
    kernels / Gather.cppOMStatus.h
    kernels / Gather.cppcore / OMUtils.h
    kernels / Gather.cppimport / OMKernelConfigureBuilder.h
    kernels / Gather.cppexecute / OMRuntimeKernel.h
    kernels / Logistic.cppOMStatus.h
    kernels / Logistic.cppimport / OMKernelConfigureBuilder.h
    kernels / Logistic.cppcore / OMUtils.h
    kernels / Logistic.cppexecute / OMRuntimeKernel.h
    kernels / MaxPool2D.cppOMStatus.h
    kernels / MaxPool2D.cppcore / OMUtils.h
    kernels / MaxPool2D.cppcore / OMKernelData.h
    kernels / MaxPool2D.cppimport / OMKernelConfigureBuilder.h
    kernels / MaxPool2D.cppexecute / OMRuntimeKernel.h
    kernels / MaxPool2D.cppexecute / OMUtils.h
    kernels / Mul.cppOMStatus.h
    kernels / Mul.cppcore / OMUtils.h
    kernels / Mul.cppimport / OMKernelConfigureBuilder.h
    kernels / Mul.cppexecute / OMRuntimeKernel.h
    kernels / Pack.cppOMStatus.h
    kernels / Pack.cppcore / OMDataType.h
    kernels / Pack.cppcore / OMUtils.h
    kernels / Pack.cppimport / OMKernelConfigureBuilder.h
    kernels / Pack.cppexecute / OMRuntimeKernel.h
    kernels / Reshape.cppOMStatus.h
    kernels / Reshape.cppcore / OMUtils.h
    kernels / Reshape.cppimport / OMKernelConfigureBuilder.h
    kernels / Reshape.cppexecute / OMRuntimeKernel.h
    kernels / Shape.cppOMStatus.h
    kernels / Shape.cppcore / OMUtils.h
    kernels / Shape.cppimport / OMKernelConfigureBuilder.h
    kernels / Shape.cppexecute / OMRuntimeKernel.h
    kernels / StridedSlice.cppOMStatus.h
    kernels / StridedSlice.cppcore / OMUtils.h
    kernels / StridedSlice.cppcore / OMKernelData.h
    kernels / StridedSlice.cppimport / OMKernelConfigureBuilder.h
    kernels / StridedSlice.cppexecute / OMRuntimeKernel.h
    kernels / Sub.cppOMStatus.h
    kernels / Sub.cppcore / OMUtils.h
    kernels / Sub.cppimport / OMKernelConfigureBuilder.h
    kernels / Sub.cppexecute / OMRuntimeKernel.h
    +

    import → include Relation

    File in onert-micro/onert-micro/src/importIncludes file in onert-micro/onert-micro/include
    OMExecutionPlanCreator.cppimport / OMExecutionPlanCreator.h
    OMKernelConfiguration.cppimport / OMKernelConfiguration.h
    OMKernelConfiguration.cppimport / OMKernelConfigureBuilder.h
    OMKernelConfiguration.cppcore / OMKernelType.h
    OMKernelConfigureBuilder.cppimport / OMKernelConfigureBuilder.h
    kernels / Abs.cppimport / OMKernelConfigureBuilder.h
    kernels / Abs.cppcore / OMUtils.h
    kernels / Abs.cppOMStatus.h
    kernels / Abs.cppexecute / OMRuntimeKernel.h
    kernels / Add.cppimport / OMKernelConfigureBuilder.h
    kernels / Add.cppcore / OMUtils.h
    kernels / Add.cppOMStatus.h
    kernels / Add.cppexecute / OMRuntimeKernel.h
    kernels / Concatenation.cppimport / OMKernelConfigureBuilder.h
    kernels / Concatenation.cppcore / OMUtils.h
    kernels / Concatenation.cppOMStatus.h
    kernels / Concatenation.cppexecute / OMRuntimeKernel.h
    kernels / Concatenation.cppcore / OMDataType.h
    kernels / Conv2D.cppOMStatus.h
    kernels / Conv2D.cppcore / OMUtils.h
    kernels / Conv2D.cppcore / OMKernelData.h
    kernels / Conv2D.cppimport / OMKernelConfigureBuilder.h
    kernels / Conv2D.cppexecute / OMRuntimeKernel.h
    kernels / Conv2D.cppexecute / OMUtils.h
    kernels / FullyConnected.cppOMStatus.h
    kernels / FullyConnected.cppimport / OMKernelConfigureBuilder.h
    kernels / FullyConnected.cppcore / OMUtils.h
    kernels / FullyConnected.cppcore / OMKernelData.h
    kernels / FullyConnected.cppexecute / OMRuntimeKernel.h
    kernels / Gather.cppOMStatus.h
    kernels / Gather.cppcore / OMUtils.h
    kernels / Gather.cppimport / OMKernelConfigureBuilder.h
    kernels / Gather.cppexecute / OMRuntimeKernel.h
    kernels / Logistic.cppOMStatus.h
    kernels / Logistic.cppimport / OMKernelConfigureBuilder.h
    kernels / Logistic.cppcore / OMUtils.h
    kernels / Logistic.cppexecute / OMRuntimeKernel.h
    kernels / MaxPool2D.cppOMStatus.h
    kernels / MaxPool2D.cppcore / OMUtils.h
    kernels / MaxPool2D.cppcore / OMKernelData.h
    kernels / MaxPool2D.cppimport / OMKernelConfigureBuilder.h
    kernels / MaxPool2D.cppexecute / OMRuntimeKernel.h
    kernels / MaxPool2D.cppexecute / OMUtils.h
    kernels / Mul.cppOMStatus.h
    kernels / Mul.cppcore / OMUtils.h
    kernels / Mul.cppimport / OMKernelConfigureBuilder.h
    kernels / Mul.cppexecute / OMRuntimeKernel.h
    kernels / Pack.cppOMStatus.h
    kernels / Pack.cppcore / OMDataType.h
    kernels / Pack.cppcore / OMUtils.h
    kernels / Pack.cppimport / OMKernelConfigureBuilder.h
    kernels / Pack.cppexecute / OMRuntimeKernel.h
    kernels / Reshape.cppOMStatus.h
    kernels / Reshape.cppcore / OMUtils.h
    kernels / Reshape.cppimport / OMKernelConfigureBuilder.h
    kernels / Reshape.cppexecute / OMRuntimeKernel.h
    kernels / Shape.cppOMStatus.h
    kernels / Shape.cppcore / OMUtils.h
    kernels / Shape.cppimport / OMKernelConfigureBuilder.h
    kernels / Shape.cppexecute / OMRuntimeKernel.h
    kernels / Softmax.cppOMStatus.h
    kernels / Softmax.cppcore / OMUtils.h
    kernels / Softmax.cppimport / OMKernelConfigureBuilder.h
    kernels / Softmax.cppexecute / OMRuntimeKernel.h
    kernels / StridedSlice.cppOMStatus.h
    kernels / StridedSlice.cppcore / OMUtils.h
    kernels / StridedSlice.cppcore / OMKernelData.h
    kernels / StridedSlice.cppimport / OMKernelConfigureBuilder.h
    kernels / StridedSlice.cppexecute / OMRuntimeKernel.h
    kernels / Sub.cppOMStatus.h
    kernels / Sub.cppcore / OMUtils.h
    kernels / Sub.cppimport / OMKernelConfigureBuilder.h
    kernels / Sub.cppexecute / OMRuntimeKernel.h
    -

    include → core Relation

    File in onert-micro/onert-micro/includeIncludes file in onert-micro/onert-micro/include/core
    import / OMConfigureArgs.hOMRuntimeContext.h
    import / OMConfigureArgs.hOMRuntimeModule.h
    import / OMConfigureArgs.hOMRuntimeStorage.h
    core / OMDataType.hreader / OMCircleReader.h
    execute / OMExecuteArgs.hOMRuntimeContext.h
    execute / OMExecuteArgs.hOMRuntimeModule.h
    execute / OMExecuteArgs.hOMRuntimeStorage.h
    import / OMExecutionPlanCreator.hmemory / OMRuntimeAllocator.h
    import / OMExecutionPlanCreator.hOMRuntimeContext.h
    import / OMExecutionPlanCreator.hOMRuntimeStorage.h
    OMInterpreter.hOMRuntimeModule.h
    import / OMKernelConfiguration.hOMRuntimeContext.h
    import / OMKernelConfiguration.hOMRuntimeStorage.h
    import / OMKernelConfigureBuilder.hreader / OMCircleReader.h
    import / OMKernelConfigureBuilder.hOMKernelType.h
    import / OMKernelConfigureBuilder.hOMRuntimeContext.h
    import / OMKernelConfigureBuilder.hOMRuntimeModule.h
    import / OMKernelConfigureBuilder.hOMRuntimeStorage.h
    core / OMKernelData.hreader / OMCircleReader.h
    execute / OMKernelExecute.hmemory / OMRuntimeAllocator.h
    execute / OMKernelExecute.hOMRuntimeContext.h
    execute / OMKernelExecute.hOMRuntimeStorage.h
    execute / OMKernelExecutionBuilder.hreader / OMCircleReader.h
    execute / OMKernelExecutionBuilder.hOMKernelType.h
    execute / OMKernelExecutionBuilder.hOMRuntimeContext.h
    execute / OMKernelExecutionBuilder.hOMRuntimeStorage.h
    core / OMKernelType.hreader / OMCircleReader.h
    core / OMRuntimeContext.hreader / OMCircleReader.h
    core / OMRuntimeGraph.hmemory / OMRuntimeAllocator.h
    execute / OMRuntimeKernel.hreader / OMCircleReader.h
    execute / OMRuntimeKernel.hOMRuntimeContext.h
    execute / OMRuntimeKernel.hOMRuntimeStorage.h
    core / OMRuntimeModule.hreader / OMCircleReader.h
    core / OMRuntimeShape.hreader / OMCircleReader.h
    execute / OMUtils.hreader / OMCircleReader.h
    core / OMUtils.hreader / OMCircleReader.h
    execute / OMUtils.hOMRuntimeShape.h
    pal / common / PALAbs.hOMRuntimeShape.h
    pal / common / PALArithmeticOpCommon.hOMKernelData.h
    pal / common / PALMaxPool2DCommon.hOMKernelData.h
    pal / common / ProcessBroadcastShapes.hOMKernelData.h
    pal / common / ProcessBroadcastShapes.hOMRuntimeShape.h
    optimize / OMOptimizePassesBuilder.hreader / OMCircleReader.h
    optimize / OMOptimizePassesBuilder.hOMRuntimeStorage.h
    optimize / OMOptimizePassesBuilder.hOMRuntimeContext.h
    optimize / OMOptimizer.hOMRuntimeContext.h
    optimize / OMOptimizer.hOMRuntimeStorage.h
    +

    include → core Relation

    File in onert-micro/onert-micro/includeIncludes file in onert-micro/onert-micro/include/core
    import / OMConfigureArgs.hOMRuntimeContext.h
    import / OMConfigureArgs.hOMRuntimeModule.h
    import / OMConfigureArgs.hOMRuntimeStorage.h
    core / OMDataType.hreader / OMCircleReader.h
    execute / OMExecuteArgs.hOMRuntimeContext.h
    execute / OMExecuteArgs.hOMRuntimeModule.h
    execute / OMExecuteArgs.hOMRuntimeStorage.h
    import / OMExecutionPlanCreator.hmemory / OMRuntimeAllocator.h
    import / OMExecutionPlanCreator.hOMRuntimeContext.h
    import / OMExecutionPlanCreator.hOMRuntimeStorage.h
    OMInterpreter.hOMRuntimeModule.h
    import / OMKernelConfiguration.hOMRuntimeContext.h
    import / OMKernelConfiguration.hOMRuntimeStorage.h
    import / OMKernelConfigureBuilder.hreader / OMCircleReader.h
    import / OMKernelConfigureBuilder.hOMKernelType.h
    import / OMKernelConfigureBuilder.hOMRuntimeContext.h
    import / OMKernelConfigureBuilder.hOMRuntimeModule.h
    import / OMKernelConfigureBuilder.hOMRuntimeStorage.h
    core / OMKernelData.hreader / OMCircleReader.h
    execute / OMKernelExecute.hmemory / OMRuntimeAllocator.h
    execute / OMKernelExecute.hOMRuntimeContext.h
    execute / OMKernelExecute.hOMRuntimeStorage.h
    execute / OMKernelExecutionBuilder.hreader / OMCircleReader.h
    execute / OMKernelExecutionBuilder.hOMKernelType.h
    execute / OMKernelExecutionBuilder.hOMRuntimeContext.h
    execute / OMKernelExecutionBuilder.hOMRuntimeStorage.h
    core / OMKernelType.hreader / OMCircleReader.h
    core / OMRuntimeContext.hreader / OMCircleReader.h
    core / OMRuntimeGraph.hmemory / OMRuntimeAllocator.h
    execute / OMRuntimeKernel.hreader / OMCircleReader.h
    execute / OMRuntimeKernel.hOMRuntimeContext.h
    execute / OMRuntimeKernel.hOMRuntimeStorage.h
    core / OMRuntimeModule.hreader / OMCircleReader.h
    core / OMRuntimeShape.hreader / OMCircleReader.h
    core / OMUtils.hreader / OMCircleReader.h
    execute / OMUtils.hreader / OMCircleReader.h
    execute / OMUtils.hOMRuntimeShape.h
    pal / common / PALAbs.hOMRuntimeShape.h
    pal / common / PALArithmeticOpCommon.hOMKernelData.h
    pal / common / PALMaxPool2DCommon.hOMKernelData.h
    pal / common / PALSoftmaxCommon.hOMKernelData.h
    pal / common / ProcessBroadcastShapes.hOMKernelData.h
    pal / common / ProcessBroadcastShapes.hOMRuntimeShape.h
    optimize / OMOptimizePassesBuilder.hreader / OMCircleReader.h
    optimize / OMOptimizePassesBuilder.hOMRuntimeStorage.h
    optimize / OMOptimizePassesBuilder.hOMRuntimeContext.h
    optimize / OMOptimizer.hOMRuntimeContext.h
    optimize / OMOptimizer.hOMRuntimeStorage.h
    -

    IR → include Relation

    File in compiler/coco/core/src/IRIncludes file in compiler/coco/core/include
    Arg.cppcoco / IR / Arg.h
    Bag.cppcoco / IR / Bag.h
    Bag.cppcoco / IR / Object.h
    Bag.cppcoco / IR / Read.h
    Bag.cppcoco / IR / Update.h
    BagManager.cppcoco / IR / BagManager.h
    Block.cppcoco / IR / Block.h
    Block.cppcoco / IR / Module.h
    BlockIndex.cppcoco / IR / BlockIndex.h
    BlockManager.cppcoco / IR / BlockManager.h
    Consumer.mock.hcoco / IR / Object.h
    Conv2D.cppcoco / IR / Ops.h
    Def.cppcoco / IR / Def.h
    Dep.cppcoco / IR / Dep.h
    Dep.cppcoco / IR / Object.h
    ElemID.cppcoco / IR / ElemID.h
    EntityManager.cppcoco / IR / EntityManager.h
    Eval.cppcoco / IR / Instrs.h
    Eval.cppcoco / IR / Op.h
    FeatureLayouts.cppcoco / IR / FeatureLayouts.h
    FeatureObject.cppcoco / IR / FeatureObject.h
    Input.cppcoco / IR / Input.h
    InputManager.cppcoco / IR / InputManager.h
    Instr.cppcoco / IR / Block.h
    Instr.cppcoco / IR / Instr.h
    InstrIndex.cppcoco / IR / InstrIndex.h
    InstrManager.cppcoco / IR / InstrManager.h
    InstrManager.cppcoco / IR / Op.h
    KernelLayouts.cppcoco / IR / KernelLayouts.h
    KernelObject.cppcoco / IR / KernelLayouts.h
    KernelObject.cppcoco / IR / KernelObject.h
    Load.cppcoco / IR / Ops.h
    Module.cppcoco / IR / Module.h
    Object.cppcoco / IR / Def.h
    Object.cppcoco / IR / Object.h
    Object.cppcoco / IR / Use.h
    ObjectManager.cppcoco / IR / FeatureObject.h
    ObjectManager.cppcoco / IR / KernelObject.h
    ObjectManager.cppcoco / IR / ObjectManager.h
    Op.cppcoco / IR / Op.h
    Op.cppcoco / IR / Part.h
    Op.cppcoco / IR / Step.h
    OpManager.cppcoco / IR / OpManager.h
    Ops.cppcoco / IR / Ops.h
    Output.cppcoco / IR / Output.h
    OutputManager.cppcoco / IR / OutputManager.h
    Padding2D.cppcoco / IR / Padding2D.h
    Part.cppcoco / IR / Op.h
    Part.cppcoco / IR / Part.h
    Producer.mock.hcoco / IR / Object.h
    Read.cppcoco / IR / Read.h
    Reader.mock.hcoco / IR / Bag.h
    Shuffle.cppcoco / IR / Instrs.h
    Step.cppcoco / IR / Op.h
    Step.cppcoco / IR / Step.h
    Stride2D.cppcoco / IR / Stride2D.h
    Update.cppcoco / IR / Update.h
    Updater.mock.hcoco / IR / Bag.h
    Use.cppcoco / IR / Use.h
    +

    IR → include Relation

    File in compiler/coco/core/src/IRIncludes file in compiler/coco/core/include
    Arg.cppcoco / IR / Arg.h
    Bag.cppcoco / IR / Bag.h
    Bag.cppcoco / IR / Object.h
    Bag.cppcoco / IR / Read.h
    Bag.cppcoco / IR / Update.h
    BagManager.cppcoco / IR / BagManager.h
    Block.cppcoco / IR / Block.h
    Block.cppcoco / IR / Module.h
    BlockIndex.cppcoco / IR / BlockIndex.h
    BlockManager.cppcoco / IR / BlockManager.h
    Consumer.mock.hcoco / IR / Object.h
    Conv2D.cppcoco / IR / Ops.h
    Def.cppcoco / IR / Def.h
    Dep.cppcoco / IR / Dep.h
    Dep.cppcoco / IR / Object.h
    ElemID.cppcoco / IR / ElemID.h
    EntityManager.cppcoco / IR / EntityManager.h
    Eval.cppcoco / IR / Instrs.h
    Eval.cppcoco / IR / Op.h
    FeatureLayouts.cppcoco / IR / FeatureLayouts.h
    FeatureObject.cppcoco / IR / FeatureObject.h
    Input.cppcoco / IR / Input.h
    InputManager.cppcoco / IR / InputManager.h
    Instr.cppcoco / IR / Block.h
    Instr.cppcoco / IR / Instr.h
    InstrIndex.cppcoco / IR / InstrIndex.h
    InstrManager.cppcoco / IR / InstrManager.h
    InstrManager.cppcoco / IR / Op.h
    KernelLayouts.cppcoco / IR / KernelLayouts.h
    KernelObject.cppcoco / IR / KernelLayouts.h
    KernelObject.cppcoco / IR / KernelObject.h
    Load.cppcoco / IR / Ops.h
    Module.cppcoco / IR / Module.h
    Object.cppcoco / IR / Def.h
    Object.cppcoco / IR / Object.h
    Object.cppcoco / IR / Use.h
    ObjectManager.cppcoco / IR / FeatureObject.h
    ObjectManager.cppcoco / IR / KernelObject.h
    ObjectManager.cppcoco / IR / ObjectManager.h
    Op.cppcoco / IR / Op.h
    Op.cppcoco / IR / Part.h
    Op.cppcoco / IR / Step.h
    OpManager.cppcoco / IR / OpManager.h
    Ops.cppcoco / IR / Ops.h
    Output.cppcoco / IR / Output.h
    OutputManager.cppcoco / IR / OutputManager.h
    Padding2D.cppcoco / IR / Padding2D.h
    Part.cppcoco / IR / Op.h
    Part.cppcoco / IR / Part.h
    Producer.mock.hcoco / IR / Object.h
    Read.cppcoco / IR / Read.h
    Reader.mock.hcoco / IR / Bag.h
    Shuffle.cppcoco / IR / Instrs.h
    Step.cppcoco / IR / Op.h
    Step.cppcoco / IR / Step.h
    Stride2D.cppcoco / IR / Stride2D.h
    Update.cppcoco / IR / Update.h
    Updater.mock.hcoco / IR / Bag.h
    Use.cppcoco / IR / Use.h
    -

    IR → pepper-assert Relation

    File in compiler/coco/core/src/IRIncludes file in compiler/pepper-assert
    Conv2D.cppinclude / pepper / assert.h
    Op.cppinclude / pepper / assert.h
    +

    IR → pepper-assert Relation

    File in compiler/coco/core/src/IRIncludes file in compiler/pepper-assert
    Conv2D.cppinclude / pepper / assert.h
    Op.cppinclude / pepper / assert.h
    +

    kernels → pal Relation

    File in compiler/luci-interpreter/src/kernelsIncludes file in compiler/luci-interpreter/pal
    BatchMatMul.cpplinux / PALBatchMatMul.h
    Gather.cpplinux / PALGather.h
    Gelu.cpplinux / PALGelu.h
    HardSwish.cpplinux / PALHardSwish.h
    LocalResponseNormalization.cpplinux / PALLocalResponseNormalization.h
    Relu.cpplinux / PALRelu.h
    Relu6.cpplinux / PALRelu6.h
    Slice.cpplinux / PALSlice.h
    Split.cpplinux / PALSplit.h
    -

    kernels → pal Relation

    File in onert-micro/luci-interpreter/src/kernelsIncludes file in onert-micro/luci-interpreter/pal
    AddN.cppcommon / PALAddN.h
    ArgMax.cppcommon / PALArgMinMax.h
    ArgMin.cppcommon / PALArgMinMax.h
    BinaryOpCommon.hcommon / PALComparisons.h
    BinaryOpCommon.hcommon / Params.h
    Ceil.cppcommon / PALCeil.h
    ComparisonCommon.hcommon / PALComparisons.h
    Cos.cppmcu / PALCos.h
    Div.cppcommon / PALDiv.h
    Exp.cppcommon / PALExp.h
    Floor.cppmcu / PALFloor.h
    FloorDiv.cppmcu / PALFloorDiv.h
    FloorMod.cppmcu / PALFloorMod.h
    GatherND.cppcommon / PALGatherND.h
    LeakyRelu.cppcommon / PALReluCommon.h
    Log.cppcommon / PALLog.h
    LogicalAnd.cppcommon / PALLogicalCommon.h
    LogicalNot.cppmcu / PALLogicalNot.h
    LogicalOr.cppcommon / PALLogicalCommon.h
    Maximum.cppmcu / PALMaximum.h
    Mean.cppcommon / PALMean.h
    Minimum.cppmcu / PALMinimum.h
    MirrorPad.cppcommon / PALMirrorPad.h
    PadCommon.cppcommon / PALPad.h
    PRelu.cppcommon / PALPreluCommon.h
    ReduceCommon.cppcommon / PALReduceCommon.h
    ReduceMax.cppcommon / PALReduceCommon.h
    Relu.cppcommon / PALReluCommon.h
    Relu6.cppcommon / PALReluCommon.h
    Round.cppcommon / PALRound.h
    Rsqrt.cppcommon / PALRsqrt.h
    SelectV2.cppcommon / PALSelectV2.h
    Sin.cppmcu / PALSin.h
    Sqrt.cppcommon / PALSqrt.h
    Square.cppmcu / PALSquare.h
    SquaredDifference.cppcommon / PALSquaredDifference.h
    Sum.cppcommon / PALReduceCommon.h
    Tanh.cppcommon / PALTanh.h
    Transpose.cppcommon / PALTranspose.h
    TransposeConv.cppcommon / PALTransposeConv.h
    Utils.hcommon / Params.h
    +

    kernels → pal Relation

    File in onert-micro/luci-interpreter/src/kernelsIncludes file in onert-micro/luci-interpreter/pal
    AddN.cppcommon / PALAddN.h
    ArgMax.cppcommon / PALArgMinMax.h
    ArgMin.cppcommon / PALArgMinMax.h
    BinaryOpCommon.hcommon / PALComparisons.h
    BinaryOpCommon.hcommon / Params.h
    Ceil.cppcommon / PALCeil.h
    ComparisonCommon.hcommon / PALComparisons.h
    Cos.cppmcu / PALCos.h
    Div.cppcommon / PALDiv.h
    Exp.cppcommon / PALExp.h
    Floor.cppmcu / PALFloor.h
    FloorDiv.cppmcu / PALFloorDiv.h
    FloorMod.cppmcu / PALFloorMod.h
    GatherND.cppcommon / PALGatherND.h
    LeakyRelu.cppcommon / PALReluCommon.h
    Log.cppcommon / PALLog.h
    LogicalAnd.cppcommon / PALLogicalCommon.h
    LogicalNot.cppmcu / PALLogicalNot.h
    LogicalOr.cppcommon / PALLogicalCommon.h
    Maximum.cppmcu / PALMaximum.h
    Mean.cppcommon / PALMean.h
    Minimum.cppmcu / PALMinimum.h
    MirrorPad.cppcommon / PALMirrorPad.h
    PadCommon.cppcommon / PALPad.h
    PRelu.cppcommon / PALPreluCommon.h
    ReduceCommon.cppcommon / PALReduceCommon.h
    ReduceMax.cppcommon / PALReduceCommon.h
    Relu.cppcommon / PALReluCommon.h
    Relu6.cppcommon / PALReluCommon.h
    Round.cppcommon / PALRound.h
    Rsqrt.cppcommon / PALRsqrt.h
    SelectV2.cppcommon / PALSelectV2.h
    Sin.cppmcu / PALSin.h
    Sqrt.cppcommon / PALSqrt.h
    Square.cppmcu / PALSquare.h
    SquaredDifference.cppcommon / PALSquaredDifference.h
    Sum.cppcommon / PALReduceCommon.h
    Tanh.cppcommon / PALTanh.h
    Transpose.cppcommon / PALTranspose.h
    TransposeConv.cppcommon / PALTransposeConv.h
    Utils.hcommon / Params.h
    -

    kernels → include Relation

    File in onert-micro/onert-micro/src/execute/kernelsIncludes file in onert-micro/onert-micro/include
    Abs.cppexecute / OMKernelExecutionBuilder.h
    Abs.cppexecute / OMRuntimeKernel.h
    Abs.cppOMStatus.h
    Abs.cppcore / OMUtils.h
    Add.cppexecute / OMKernelExecutionBuilder.h
    Add.cppexecute / OMRuntimeKernel.h
    Add.cppcore / OMRuntimeShape.h
    Add.cppOMStatus.h
    Add.cppexecute / OMUtils.h
    Add.cppcore / OMUtils.h
    Concatenation.cppcore / OMKernelData.h
    Concatenation.cppexecute / OMKernelExecutionBuilder.h
    Concatenation.cppexecute / OMRuntimeKernel.h
    Concatenation.cppcore / OMRuntimeShape.h
    Concatenation.cppOMStatus.h
    Concatenation.cppexecute / OMUtils.h
    Concatenation.cppcore / OMUtils.h
    Conv2D.cppcore / OMKernelData.h
    Conv2D.cppexecute / OMKernelExecutionBuilder.h
    Conv2D.cppexecute / OMRuntimeKernel.h
    Conv2D.cppOMStatus.h
    Conv2D.cppcore / OMUtils.h
    Conv2D.cppexecute / OMUtils.h
    FullyConnected.cppcore / OMKernelData.h
    FullyConnected.cppexecute / OMKernelExecutionBuilder.h
    FullyConnected.cppexecute / OMRuntimeKernel.h
    FullyConnected.cppOMStatus.h
    FullyConnected.cppcore / OMUtils.h
    FullyConnected.cppexecute / OMUtils.h
    Gather.cppcore / OMKernelData.h
    Gather.cppexecute / OMKernelExecutionBuilder.h
    Gather.cppexecute / OMRuntimeKernel.h
    Gather.cppOMStatus.h
    Gather.cppcore / OMUtils.h
    Gather.cppexecute / OMUtils.h
    Logistic.cppexecute / OMKernelExecutionBuilder.h
    Logistic.cppexecute / OMRuntimeKernel.h
    Logistic.cppOMStatus.h
    Logistic.cppcore / OMUtils.h
    MaxPool2D.cppcore / OMKernelData.h
    MaxPool2D.cppexecute / OMKernelExecutionBuilder.h
    MaxPool2D.cppexecute / OMRuntimeKernel.h
    MaxPool2D.cppOMStatus.h
    MaxPool2D.cppcore / OMUtils.h
    MaxPool2D.cppexecute / OMUtils.h
    Mul.cppexecute / OMKernelExecutionBuilder.h
    Mul.cppexecute / OMRuntimeKernel.h
    Mul.cppcore / OMRuntimeShape.h
    Mul.cppOMStatus.h
    Mul.cppcore / OMUtils.h
    Mul.cppexecute / OMUtils.h
    Pack.cppexecute / OMKernelExecutionBuilder.h
    Pack.cppexecute / OMRuntimeKernel.h
    Pack.cppcore / OMRuntimeShape.h
    Pack.cppOMStatus.h
    Pack.cppcore / OMUtils.h
    Reshape.cppcore / OMDataType.h
    Reshape.cppexecute / OMKernelExecutionBuilder.h
    Reshape.cppexecute / OMRuntimeKernel.h
    Reshape.cppOMStatus.h
    Reshape.cppcore / OMUtils.h
    Shape.cppexecute / OMKernelExecutionBuilder.h
    Shape.cppexecute / OMRuntimeKernel.h
    Shape.cppOMStatus.h
    Shape.cppcore / OMUtils.h
    StridedSlice.cppcore / OMKernelData.h
    StridedSlice.cppexecute / OMKernelExecutionBuilder.h
    StridedSlice.cppexecute / OMRuntimeKernel.h
    StridedSlice.cppOMStatus.h
    StridedSlice.cppcore / OMUtils.h
    StridedSlice.cppexecute / OMUtils.h
    Sub.cppexecute / OMKernelExecutionBuilder.h
    Sub.cppexecute / OMRuntimeKernel.h
    Sub.cppcore / OMRuntimeShape.h
    Sub.cppOMStatus.h
    Sub.cppcore / OMUtils.h
    Sub.cppexecute / OMUtils.h
    +

    kernels → include Relation

    File in onert-micro/onert-micro/src/execute/kernelsIncludes file in onert-micro/onert-micro/include
    Abs.cppexecute / OMKernelExecutionBuilder.h
    Abs.cppexecute / OMRuntimeKernel.h
    Abs.cppOMStatus.h
    Abs.cppcore / OMUtils.h
    Add.cppexecute / OMKernelExecutionBuilder.h
    Add.cppexecute / OMRuntimeKernel.h
    Add.cppcore / OMRuntimeShape.h
    Add.cppOMStatus.h
    Add.cppexecute / OMUtils.h
    Add.cppcore / OMUtils.h
    Concatenation.cppcore / OMKernelData.h
    Concatenation.cppexecute / OMKernelExecutionBuilder.h
    Concatenation.cppexecute / OMRuntimeKernel.h
    Concatenation.cppcore / OMRuntimeShape.h
    Concatenation.cppOMStatus.h
    Concatenation.cppcore / OMUtils.h
    Concatenation.cppexecute / OMUtils.h
    Conv2D.cppcore / OMKernelData.h
    Conv2D.cppexecute / OMKernelExecutionBuilder.h
    Conv2D.cppexecute / OMRuntimeKernel.h
    Conv2D.cppOMStatus.h
    Conv2D.cppexecute / OMUtils.h
    Conv2D.cppcore / OMUtils.h
    FullyConnected.cppcore / OMKernelData.h
    FullyConnected.cppexecute / OMKernelExecutionBuilder.h
    FullyConnected.cppexecute / OMRuntimeKernel.h
    FullyConnected.cppOMStatus.h
    FullyConnected.cppcore / OMUtils.h
    FullyConnected.cppexecute / OMUtils.h
    Gather.cppcore / OMKernelData.h
    Gather.cppexecute / OMKernelExecutionBuilder.h
    Gather.cppexecute / OMRuntimeKernel.h
    Gather.cppOMStatus.h
    Gather.cppcore / OMUtils.h
    Gather.cppexecute / OMUtils.h
    Logistic.cppexecute / OMKernelExecutionBuilder.h
    Logistic.cppexecute / OMRuntimeKernel.h
    Logistic.cppOMStatus.h
    Logistic.cppcore / OMUtils.h
    MaxPool2D.cppcore / OMKernelData.h
    MaxPool2D.cppexecute / OMKernelExecutionBuilder.h
    MaxPool2D.cppexecute / OMRuntimeKernel.h
    MaxPool2D.cppOMStatus.h
    MaxPool2D.cppcore / OMUtils.h
    MaxPool2D.cppexecute / OMUtils.h
    Mul.cppexecute / OMKernelExecutionBuilder.h
    Mul.cppexecute / OMRuntimeKernel.h
    Mul.cppcore / OMRuntimeShape.h
    Mul.cppOMStatus.h
    Mul.cppcore / OMUtils.h
    Mul.cppexecute / OMUtils.h
    Pack.cppexecute / OMKernelExecutionBuilder.h
    Pack.cppexecute / OMRuntimeKernel.h
    Pack.cppcore / OMRuntimeShape.h
    Pack.cppOMStatus.h
    Pack.cppcore / OMUtils.h
    Reshape.cppcore / OMDataType.h
    Reshape.cppexecute / OMKernelExecutionBuilder.h
    Reshape.cppexecute / OMRuntimeKernel.h
    Reshape.cppOMStatus.h
    Reshape.cppcore / OMUtils.h
    Shape.cppexecute / OMKernelExecutionBuilder.h
    Shape.cppexecute / OMRuntimeKernel.h
    Shape.cppOMStatus.h
    Shape.cppcore / OMUtils.h
    Softmax.cppexecute / OMKernelExecutionBuilder.h
    Softmax.cppexecute / OMRuntimeKernel.h
    Softmax.cppOMStatus.h
    Softmax.cppcore / OMUtils.h
    StridedSlice.cppcore / OMKernelData.h
    StridedSlice.cppexecute / OMKernelExecutionBuilder.h
    StridedSlice.cppexecute / OMRuntimeKernel.h
    StridedSlice.cppOMStatus.h
    StridedSlice.cppcore / OMUtils.h
    StridedSlice.cppexecute / OMUtils.h
    Sub.cppexecute / OMKernelExecutionBuilder.h
    Sub.cppexecute / OMRuntimeKernel.h
    Sub.cppcore / OMRuntimeShape.h
    Sub.cppOMStatus.h
    Sub.cppcore / OMUtils.h
    Sub.cppexecute / OMUtils.h
    -

    kernels → include Relation

    File in onert-micro/onert-micro/src/import/kernelsIncludes file in onert-micro/onert-micro/include
    Abs.cppimport / OMKernelConfigureBuilder.h
    Abs.cppexecute / OMRuntimeKernel.h
    Abs.cppOMStatus.h
    Abs.cppcore / OMUtils.h
    Add.cppimport / OMKernelConfigureBuilder.h
    Add.cppexecute / OMRuntimeKernel.h
    Add.cppOMStatus.h
    Add.cppcore / OMUtils.h
    Concatenation.cppcore / OMDataType.h
    Concatenation.cppimport / OMKernelConfigureBuilder.h
    Concatenation.cppexecute / OMRuntimeKernel.h
    Concatenation.cppOMStatus.h
    Concatenation.cppcore / OMUtils.h
    Conv2D.cppimport / OMKernelConfigureBuilder.h
    Conv2D.cppcore / OMKernelData.h
    Conv2D.cppexecute / OMRuntimeKernel.h
    Conv2D.cppOMStatus.h
    Conv2D.cppexecute / OMUtils.h
    Conv2D.cppcore / OMUtils.h
    FullyConnected.cppimport / OMKernelConfigureBuilder.h
    FullyConnected.cppcore / OMKernelData.h
    FullyConnected.cppexecute / OMRuntimeKernel.h
    FullyConnected.cppOMStatus.h
    FullyConnected.cppcore / OMUtils.h
    Gather.cppimport / OMKernelConfigureBuilder.h
    Gather.cppexecute / OMRuntimeKernel.h
    Gather.cppOMStatus.h
    Gather.cppcore / OMUtils.h
    Logistic.cppimport / OMKernelConfigureBuilder.h
    Logistic.cppexecute / OMRuntimeKernel.h
    Logistic.cppOMStatus.h
    Logistic.cppcore / OMUtils.h
    MaxPool2D.cppimport / OMKernelConfigureBuilder.h
    MaxPool2D.cppcore / OMKernelData.h
    MaxPool2D.cppexecute / OMRuntimeKernel.h
    MaxPool2D.cppOMStatus.h
    MaxPool2D.cppexecute / OMUtils.h
    MaxPool2D.cppcore / OMUtils.h
    Mul.cppimport / OMKernelConfigureBuilder.h
    Mul.cppexecute / OMRuntimeKernel.h
    Mul.cppOMStatus.h
    Mul.cppcore / OMUtils.h
    Pack.cppcore / OMDataType.h
    Pack.cppimport / OMKernelConfigureBuilder.h
    Pack.cppexecute / OMRuntimeKernel.h
    Pack.cppOMStatus.h
    Pack.cppcore / OMUtils.h
    Reshape.cppimport / OMKernelConfigureBuilder.h
    Reshape.cppexecute / OMRuntimeKernel.h
    Reshape.cppOMStatus.h
    Reshape.cppcore / OMUtils.h
    Shape.cppimport / OMKernelConfigureBuilder.h
    Shape.cppexecute / OMRuntimeKernel.h
    Shape.cppOMStatus.h
    Shape.cppcore / OMUtils.h
    StridedSlice.cppimport / OMKernelConfigureBuilder.h
    StridedSlice.cppcore / OMKernelData.h
    StridedSlice.cppexecute / OMRuntimeKernel.h
    StridedSlice.cppOMStatus.h
    StridedSlice.cppcore / OMUtils.h
    Sub.cppimport / OMKernelConfigureBuilder.h
    Sub.cppexecute / OMRuntimeKernel.h
    Sub.cppOMStatus.h
    Sub.cppcore / OMUtils.h
    +

    kernels → include Relation

    File in onert-micro/onert-micro/src/import/kernelsIncludes file in onert-micro/onert-micro/include
    Abs.cppimport / OMKernelConfigureBuilder.h
    Abs.cppexecute / OMRuntimeKernel.h
    Abs.cppOMStatus.h
    Abs.cppcore / OMUtils.h
    Add.cppimport / OMKernelConfigureBuilder.h
    Add.cppexecute / OMRuntimeKernel.h
    Add.cppOMStatus.h
    Add.cppcore / OMUtils.h
    Concatenation.cppcore / OMDataType.h
    Concatenation.cppimport / OMKernelConfigureBuilder.h
    Concatenation.cppexecute / OMRuntimeKernel.h
    Concatenation.cppOMStatus.h
    Concatenation.cppcore / OMUtils.h
    Conv2D.cppimport / OMKernelConfigureBuilder.h
    Conv2D.cppcore / OMKernelData.h
    Conv2D.cppexecute / OMRuntimeKernel.h
    Conv2D.cppOMStatus.h
    Conv2D.cppcore / OMUtils.h
    Conv2D.cppexecute / OMUtils.h
    FullyConnected.cppimport / OMKernelConfigureBuilder.h
    FullyConnected.cppcore / OMKernelData.h
    FullyConnected.cppexecute / OMRuntimeKernel.h
    FullyConnected.cppOMStatus.h
    FullyConnected.cppcore / OMUtils.h
    Gather.cppimport / OMKernelConfigureBuilder.h
    Gather.cppexecute / OMRuntimeKernel.h
    Gather.cppOMStatus.h
    Gather.cppcore / OMUtils.h
    Logistic.cppimport / OMKernelConfigureBuilder.h
    Logistic.cppexecute / OMRuntimeKernel.h
    Logistic.cppOMStatus.h
    Logistic.cppcore / OMUtils.h
    MaxPool2D.cppimport / OMKernelConfigureBuilder.h
    MaxPool2D.cppcore / OMKernelData.h
    MaxPool2D.cppexecute / OMRuntimeKernel.h
    MaxPool2D.cppOMStatus.h
    MaxPool2D.cppexecute / OMUtils.h
    MaxPool2D.cppcore / OMUtils.h
    Mul.cppimport / OMKernelConfigureBuilder.h
    Mul.cppexecute / OMRuntimeKernel.h
    Mul.cppOMStatus.h
    Mul.cppcore / OMUtils.h
    Pack.cppcore / OMDataType.h
    Pack.cppimport / OMKernelConfigureBuilder.h
    Pack.cppexecute / OMRuntimeKernel.h
    Pack.cppOMStatus.h
    Pack.cppcore / OMUtils.h
    Reshape.cppimport / OMKernelConfigureBuilder.h
    Reshape.cppexecute / OMRuntimeKernel.h
    Reshape.cppOMStatus.h
    Reshape.cppcore / OMUtils.h
    Shape.cppimport / OMKernelConfigureBuilder.h
    Shape.cppexecute / OMRuntimeKernel.h
    Shape.cppOMStatus.h
    Shape.cppcore / OMUtils.h
    Softmax.cppimport / OMKernelConfigureBuilder.h
    Softmax.cppexecute / OMRuntimeKernel.h
    Softmax.cppOMStatus.h
    Softmax.cppcore / OMUtils.h
    StridedSlice.cppimport / OMKernelConfigureBuilder.h
    StridedSlice.cppcore / OMKernelData.h
    StridedSlice.cppexecute / OMRuntimeKernel.h
    StridedSlice.cppOMStatus.h
    StridedSlice.cppcore / OMUtils.h
    Sub.cppimport / OMKernelConfigureBuilder.h
    Sub.cppexecute / OMRuntimeKernel.h
    Sub.cppOMStatus.h
    Sub.cppcore / OMUtils.h
    -

    loader → kernels Relation

    File in compiler/luci-interpreter/src/loaderIncludes file in compiler/luci-interpreter/src/kernels
    nodes / Abs.cppAbs.h
    nodes / Add.cppAdd.h
    nodes / ArgMax.cppArgMax.h
    nodes / AveragePool2D.cppAveragePool2D.h
    nodes / BatchToSpaceND.cppBatchToSpaceND.h
    nodes / BroadcastTo.cppBroadcastTo.h
    nodes / Cast.cppCast.h
    nodes / Concatenation.cppConcatenation.h
    nodes / Conv2D.cppConv2D.h
    nodes / Cos.cppCos.h
    nodes / CumSum.cppCumSum.h
    nodes / DepthToSpace.cppDepthToSpace.h
    nodes / DepthwiseConv2D.cppDepthwiseConv2D.h
    nodes / Dequantize.cppDequantize.h
    nodes / Div.cppDiv.h
    nodes / Elu.cppElu.h
    nodes / Equal.cppEqual.h
    nodes / Exp.cppExp.h
    nodes / ExpandDims.cppExpandDims.h
    nodes / Fill.cppFill.h
    nodes / Floor.cppFloor.h
    nodes / FloorDiv.cppFloorDiv.h
    nodes / FloorMod.cppFloorMod.h
    nodes / FullyConnected.cppFullyConnected.h
    nodes / Gather.cppGather.h
    nodes / Gelu.cppGelu.h
    nodes / Greater.cppGreater.h
    nodes / GreaterEqual.cppGreaterEqual.h
    nodes / HardSwish.cppHardSwish.h
    nodes / If.cppIf.h
    nodes / L2Normalize.cppL2Normalize.h
    nodes / L2Pool2D.cppL2Pool2D.h
    nodes / LeakyRelu.cppLeakyRelu.h
    nodes / Less.cppLess.h
    nodes / LessEqual.cppLessEqual.h
    nodes / Log.cppLog.h
    nodes / LogicalAnd.cppLogicalAnd.h
    nodes / LogicalNot.cppLogicalNot.h
    nodes / LogicalOr.cppLogicalOr.h
    nodes / Logistic.cppLogistic.h
    nodes / LogSoftmax.cppLogSoftmax.h
    nodes / Maximum.cppMaximum.h
    nodes / MaxPool2D.cppMaxPool2D.h
    nodes / Mean.cppMean.h
    nodes / Minimum.cppMinimum.h
    nodes / MirrorPad.cppMirrorPad.h
    nodes / Mul.cppMul.h
    nodes / Neg.cppNeg.h
    nodes / NotEqual.cppNotEqual.h
    nodes / Pack.cppPack.h
    nodes / Pad.cppPad.h
    nodes / PadV2.cppPadV2.h
    nodes / PRelu.cppPRelu.h
    nodes / Quantize.cppQuantize.h
    nodes / ReduceMax.cppReduceMax.h
    nodes / ReduceProd.cppReduceProd.h
    nodes / Relu.cppRelu.h
    nodes / Relu6.cppRelu6.h
    nodes / Reshape.cppReshape.h
    nodes / ResizeBilinear.cppResizeBilinear.h
    nodes / ResizeNearestNeighbor.cppResizeNearestNeighbor.h
    nodes / Rsqrt.cppRsqrt.h
    nodes / Select.cppSelect.h
    nodes / SelectV2.cppSelectV2.h
    nodes / Shape.cppShape.h
    nodes / Sin.cppSin.h
    nodes / Slice.cppSlice.h
    nodes / Softmax.cppSoftmax.h
    nodes / SpaceToBatchND.cppSpaceToBatchND.h
    nodes / SpaceToDepth.cppSpaceToDepth.h
    nodes / SplitV.cppSplitV.h
    nodes / Sqrt.cppSqrt.h
    nodes / Square.cppSquare.h
    nodes / SquaredDifference.cppSquaredDifference.h
    nodes / StridedSlice.cppStridedSlice.h
    nodes / Sub.cppSub.h
    nodes / Sum.cppSum.h
    nodes / SVDF.cppSVDF.h
    nodes / Tanh.cppTanh.h
    nodes / Tile.cppTile.h
    nodes / Transpose.cppTranspose.h
    nodes / TransposeConv.cppTransposeConv.h
    nodes / Unpack.cppUnpack.h
    nodes / While.cppWhile.h
    +

    loader → kernels Relation

    File in compiler/luci-interpreter/src/loaderIncludes file in compiler/luci-interpreter/src/kernels
    nodes / Abs.cppAbs.h
    nodes / Add.cppAdd.h
    nodes / ArgMax.cppArgMax.h
    nodes / AveragePool2D.cppAveragePool2D.h
    nodes / BatchToSpaceND.cppBatchToSpaceND.h
    nodes / BroadcastTo.cppBroadcastTo.h
    nodes / Cast.cppCast.h
    nodes / Concatenation.cppConcatenation.h
    nodes / Conv2D.cppConv2D.h
    nodes / Cos.cppCos.h
    nodes / CumSum.cppCumSum.h
    nodes / DepthToSpace.cppDepthToSpace.h
    nodes / DepthwiseConv2D.cppDepthwiseConv2D.h
    nodes / Dequantize.cppDequantize.h
    nodes / Div.cppDiv.h
    nodes / Elu.cppElu.h
    nodes / Equal.cppEqual.h
    nodes / Exp.cppExp.h
    nodes / ExpandDims.cppExpandDims.h
    nodes / Fill.cppFill.h
    nodes / Floor.cppFloor.h
    nodes / FloorDiv.cppFloorDiv.h
    nodes / FloorMod.cppFloorMod.h
    nodes / FullyConnected.cppFullyConnected.h
    nodes / Gather.cppGather.h
    nodes / Gelu.cppGelu.h
    nodes / Greater.cppGreater.h
    nodes / GreaterEqual.cppGreaterEqual.h
    nodes / HardSwish.cppHardSwish.h
    nodes / If.cppIf.h
    nodes / L2Normalize.cppL2Normalize.h
    nodes / L2Pool2D.cppL2Pool2D.h
    nodes / LeakyRelu.cppLeakyRelu.h
    nodes / Less.cppLess.h
    nodes / LessEqual.cppLessEqual.h
    nodes / Log.cppLog.h
    nodes / LogicalAnd.cppLogicalAnd.h
    nodes / LogicalNot.cppLogicalNot.h
    nodes / LogicalOr.cppLogicalOr.h
    nodes / Logistic.cppLogistic.h
    nodes / LogSoftmax.cppLogSoftmax.h
    nodes / Maximum.cppMaximum.h
    nodes / MaxPool2D.cppMaxPool2D.h
    nodes / Mean.cppMean.h
    nodes / Minimum.cppMinimum.h
    nodes / MirrorPad.cppMirrorPad.h
    nodes / Mul.cppMul.h
    nodes / Neg.cppNeg.h
    nodes / NotEqual.cppNotEqual.h
    nodes / Pack.cppPack.h
    nodes / Pad.cppPad.h
    nodes / PadV2.cppPadV2.h
    nodes / PRelu.cppPRelu.h
    nodes / Quantize.cppQuantize.h
    nodes / ReduceMax.cppReduceMax.h
    nodes / ReduceProd.cppReduceProd.h
    nodes / Relu.cppRelu.h
    nodes / Relu6.cppRelu6.h
    nodes / Reshape.cppReshape.h
    nodes / ResizeBilinear.cppResizeBilinear.h
    nodes / ResizeNearestNeighbor.cppResizeNearestNeighbor.h
    nodes / Rsqrt.cppRsqrt.h
    nodes / Select.cppSelect.h
    nodes / SelectV2.cppSelectV2.h
    nodes / Shape.cppShape.h
    nodes / Sin.cppSin.h
    nodes / Slice.cppSlice.h
    nodes / Softmax.cppSoftmax.h
    nodes / SpaceToBatchND.cppSpaceToBatchND.h
    nodes / SpaceToDepth.cppSpaceToDepth.h
    nodes / SplitV.cppSplitV.h
    nodes / Sqrt.cppSqrt.h
    nodes / Square.cppSquare.h
    nodes / SquaredDifference.cppSquaredDifference.h
    nodes / StridedSlice.cppStridedSlice.h
    nodes / Sub.cppSub.h
    nodes / Sum.cppSum.h
    nodes / SVDF.cppSVDF.h
    nodes / Tanh.cppTanh.h
    nodes / Tile.cppTile.h
    nodes / Transpose.cppTranspose.h
    nodes / TransposeConv.cppTransposeConv.h
    nodes / Unpack.cppUnpack.h
    nodes / While.cppWhile.h
    +

    loader → luci Relation

    File in compiler/luci-interpreter/src/loaderIncludes file in compiler/luci
    GraphLoader.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    KernelBuilder.cpplang / include / luci / IR / CircleNodeDecl.h
    KernelBuilder.cpplang / include / luci / IR / CircleOpcode.h
    KernelBuilder.hlang / include / luci / IR / CircleNodeVisitor.h
    KernelBuilderHelper.cpplang / include / luci / IR / Nodes / CircleOutput.h
    ModuleLoader.hlang / include / luci / IR / Module.h
    RuntimeToIR.hlang / include / luci / IR / CircleNode.h
    nodes / AveragePool2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    nodes / BatchMatMul.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    nodes / Builders.hlang / include / luci / IR / CircleNodes.h
    nodes / Conv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    nodes / DepthwiseConv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    -

    locomotiv → angkor Relation

    File in compiler/locomotivIncludes file in compiler/angkor
    include / locomotiv / NodeData.hinclude / nncc / core / ADT / tensor / Buffer.h
    include / locomotiv / NodeData.hinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / ConstGen.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / ConstGen.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / ConstGen.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / ConstGen.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / Conv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / Conv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / Conv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / Conv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / DepthwiseFilterEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / DepthwiseFilterEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / FeatureDecode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / FeatureDecode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / FeatureEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / FeatureEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / FilterEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / FilterEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / MatMul.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / MatMul.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / MatMul.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / MatMul.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / MatMul.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / MatrixDecode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / MatrixDecode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / MatrixEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / MatrixEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / Reshape.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / Reshape.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / Reshape.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / Reshape.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / Softmax.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / Softmax.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / Softmax.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / Softmax.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / Softmax.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / TensorConstantPad.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / TensorConstantPad.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / NodeExecution.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / NodeExecution.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / NodeExecution.cppinclude / nncc / core / ADT / tensor / Index.h
    src / NodeExecution.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / NodeExecution.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    +

    locomotiv → angkor Relation

    File in compiler/locomotivIncludes file in compiler/angkor
    include / locomotiv / NodeData.hinclude / nncc / core / ADT / tensor / Buffer.h
    include / locomotiv / NodeData.hinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / ConstGen.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / ConstGen.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / ConstGen.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / ConstGen.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / Conv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / Conv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / Conv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / Conv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / DepthwiseFilterEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / DepthwiseFilterEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / FeatureDecode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / FeatureDecode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / FeatureEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / FeatureEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / FilterEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / FilterEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / MatMul.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / MatMul.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / MatMul.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / MatMul.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / MatMul.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / MatrixDecode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / MatrixDecode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / MatrixEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / MatrixEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / Reshape.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / Reshape.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / Reshape.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / Reshape.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / Softmax.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / Softmax.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / Softmax.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / Softmax.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / Softmax.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / TensorConstantPad.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / TensorConstantPad.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    src / Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / NodeExecution.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / NodeExecution.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / NodeExecution.cppinclude / nncc / core / ADT / tensor / Index.h
    src / NodeExecution.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    src / NodeExecution.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    -

    luci-interpreter → luci Relation

    File in compiler/luci-interpreterIncludes file in compiler/luci
    include / luci_interpreter / core / DataType.hlang / include / luci / IR / DataTypeHelper.h
    src / loader / GraphLoader.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / KernelBuilder.cpplang / include / luci / IR / CircleNodeDecl.h
    src / loader / KernelBuilder.cpplang / include / luci / IR / CircleOpcode.h
    src / loader / KernelBuilder.hlang / include / luci / IR / CircleNodeVisitor.h
    src / loader / KernelBuilderHelper.cpplang / include / luci / IR / Nodes / CircleOutput.h
    src / core / KernelParams.hlang / include / luci / IR / AttrFusedActFunc.h
    src / core / KernelParams.hlang / include / luci / IR / AttrMirrorPadMode.h
    src / core / KernelParams.hlang / include / luci / IR / AttrPadding.h
    src / loader / ModuleLoader.hlang / include / luci / IR / Module.h
    src / loader / RuntimeToIR.hlang / include / luci / IR / CircleNode.h
    include / luci_interpreter / GraphBuilderRegistry.himport / include / luci / Import / GraphBuilderRegistry.h
    include / luci_interpreter / Interpreter.hlang / include / luci / IR / Nodes / CircleInput.h
    include / luci_interpreter / Interpreter.hlang / include / luci / IR / Nodes / CircleOutput.h
    include / luci_interpreter / Interpreter.hlang / include / luci / IR / Module.h
    src / import / Nodes / CircleReferencingConst.himport / include / luci / Import / NodeBuilder.h
    src / import / Nodes / CircleReferencingConst.hlang / include / luci / IR / Nodes / CircleConst.h
    src / loader / nodes / AveragePool2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / nodes / BatchMatMul.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / nodes / Builders.hlang / include / luci / IR / CircleNodes.h
    src / loader / nodes / Conv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / nodes / DepthwiseConv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    +

    luci-interpreter → luci Relation

    File in compiler/luci-interpreterIncludes file in compiler/luci
    include / luci_interpreter / core / DataType.hlang / include / luci / IR / DataTypeHelper.h
    src / loader / GraphLoader.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / KernelBuilder.cpplang / include / luci / IR / CircleNodeDecl.h
    src / loader / KernelBuilder.cpplang / include / luci / IR / CircleOpcode.h
    src / loader / KernelBuilder.hlang / include / luci / IR / CircleNodeVisitor.h
    src / loader / KernelBuilderHelper.cpplang / include / luci / IR / Nodes / CircleOutput.h
    src / core / KernelParams.hlang / include / luci / IR / AttrFusedActFunc.h
    src / core / KernelParams.hlang / include / luci / IR / AttrMirrorPadMode.h
    src / core / KernelParams.hlang / include / luci / IR / AttrPadding.h
    src / loader / ModuleLoader.hlang / include / luci / IR / Module.h
    src / loader / RuntimeToIR.hlang / include / luci / IR / CircleNode.h
    include / luci_interpreter / GraphBuilderRegistry.himport / include / luci / Import / GraphBuilderRegistry.h
    include / luci_interpreter / Interpreter.hlang / include / luci / IR / Nodes / CircleInput.h
    include / luci_interpreter / Interpreter.hlang / include / luci / IR / Nodes / CircleOutput.h
    include / luci_interpreter / Interpreter.hlang / include / luci / IR / Module.h
    src / import / Nodes / CircleReferencingConst.himport / include / luci / Import / NodeBuilder.h
    src / import / Nodes / CircleReferencingConst.hlang / include / luci / IR / Nodes / CircleConst.h
    src / loader / nodes / AveragePool2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / nodes / BatchMatMul.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / nodes / Builders.hlang / include / luci / IR / CircleNodes.h
    src / loader / nodes / Conv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    src / loader / nodes / DepthwiseConv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    @@ -89,12 +89,12 @@
    -

    luci_interpreter → loco Relation

    File in compiler/luci-interpreter/include/luci_interpreterIncludes file in compiler/loco
    core / DataType.hinclude / loco / IR / DataType.h
    core / DataType.hinclude / loco / IR / DataTypeTraits.h
    +

    luci_compute → loco Relation

    File in compiler/luci-compute/include/luci_computeIncludes file in compiler/loco
    DepthwiseConv2D.hinclude / loco / IR / TensorShape.h
    FullyConnected.hinclude / loco / IR / TensorShape.h
    diff --git a/dir_000626_000480.html b/dir_000502_000455.html similarity index 67% rename from dir_000626_000480.html rename to dir_000502_000455.html index aa1a101549b..75e0cc7914a 100644 --- a/dir_000626_000480.html +++ b/dir_000502_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci-interpreter/src/import/Nodes -> luci Relation +ONE - On-device Neural Engine: compiler/luci-interpreter/include/luci_interpreter -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Nodes → luci Relation

    File in compiler/luci-interpreter/src/import/NodesIncludes file in compiler/luci
    CircleReferencingConst.hlang / include / luci / IR / Nodes / CircleConst.h
    CircleReferencingConst.himport / include / luci / Import / NodeBuilder.h
    +

    luci_interpreter → loco Relation

    File in compiler/luci-interpreter/include/luci_interpreterIncludes file in compiler/loco
    core / DataType.hinclude / loco / IR / DataType.h
    core / DataType.hinclude / loco / IR / DataTypeTraits.h
    diff --git a/dir_000501_000480.html b/dir_000502_000480.html similarity index 100% rename from dir_000501_000480.html rename to dir_000502_000480.html diff --git a/dir_000502_000945.html b/dir_000503_000947.html similarity index 100% rename from dir_000502_000945.html rename to dir_000503_000947.html diff --git a/dir_000510_000118.html b/dir_000511_000118.html similarity index 87% rename from dir_000510_000118.html rename to dir_000511_000118.html index fc5abcf31eb..33e6952bffe 100644 --- a/dir_000510_000118.html +++ b/dir_000511_000118.html @@ -89,7 +89,7 @@ +

    mcu → common Relation

    File in onert-micro/luci-interpreter/pal/mcuIncludes file in onert-micro/luci-interpreter/pal/common
    PALAveragePool2D.hPALAveragePool2DCommon.h
    PALCos.hPALCosCommon.h
    PALDepthwiseConv2D.hPALDepthwiseConv2DCommon.h
    PALFloor.hPALFloorCommon.h
    PALFloorDiv.hPALFloorDivCommon.h
    PALFloorMod.hPALFloorModCommon.h
    PALLogicalNot.hPALLogicalNotCommon.h
    PALMaximum.hPALMaximumCommon.h
    PALMinimum.hPALMinimumCommon.h
    PALSin.hPALSinCommon.h
    PALSquare.hPALSquareCommon.h
    PALSVDF.hPALSVDFCommon.h
    PALUnidirectionalSequenceLSTM.hPALUnidirectionalSequenceLSTMCommon.h
    @@ -89,12 +89,12 @@
    -

    mir → adtidas Relation

    File in compiler/mir/include/mirIncludes file in compiler/adtidas
    Index.hinclude / adtidas / SmallVector.h
    Shape.hinclude / adtidas / SmallVector.h
    TensorVariant.hinclude / adtidas / SmallVector.h
    +

    mir → adtidas Relation

    File in compiler/mirIncludes file in compiler/adtidas
    include / mir / Index.hinclude / adtidas / SmallVector.h
    include / mir / Shape.hinclude / adtidas / SmallVector.h
    include / mir / TensorVariant.hinclude / adtidas / SmallVector.h
    diff --git a/dir_000542_000544.html b/dir_000543_000545.html similarity index 100% rename from dir_000542_000544.html rename to dir_000543_000545.html diff --git a/dir_000544_000023.html b/dir_000544_000023.html new file mode 100644 index 00000000000..5b100e94299 --- /dev/null +++ b/dir_000544_000023.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/mir/include/mir -> adtidas Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
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    mir → adtidas Relation

    File in compiler/mir/include/mirIncludes file in compiler/adtidas
    Index.hinclude / adtidas / SmallVector.h
    Shape.hinclude / adtidas / SmallVector.h
    TensorVariant.hinclude / adtidas / SmallVector.h
    +
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    -
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    -
    ONE - On-device Neural Engine -
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    -

    mir-interpreter → mir Relation

    File in compiler/mir-interpreterIncludes file in compiler/mir
    include / MirInterpreter.hinclude / mir / Operation.h
    include / MirInterpreter.hinclude / mir / TensorVariant.h
    include / MirInterpreter.hinclude / mir / Visitor.h
    src / ops / Abs.cppinclude / mir / ShapeRange.h
    src / ops / Abs.cppinclude / mir / Tensor.h
    src / ops / Abs.hinclude / mir / TensorVariant.h
    src / ops / Add.cppinclude / mir / Tensor.h
    src / ops / Add.cppinclude / mir / ShapeRange.h
    src / ops / Add.hinclude / mir / TensorVariant.h
    src / ops / AvgPool2D.cppinclude / mir / ShapeRange.h
    src / ops / AvgPool2D.cppinclude / mir / Tensor.h
    src / ops / AvgPool2D.hinclude / mir / ops / AvgPool2DOp.h
    src / ops / AvgPool2D.hinclude / mir / TensorVariant.h
    src / ops / CappedReLU.cppinclude / mir / ShapeRange.h
    src / ops / CappedReLU.cppinclude / mir / Tensor.h
    src / ops / CappedReLU.hinclude / mir / TensorVariant.h
    src / ops / Common.hinclude / mir / Tensor.h
    src / ops / Common.hinclude / mir / TensorVariant.h
    src / ops / Common.hinclude / mir / DataType.h
    src / ops / Common.hinclude / mir / Shape.h
    src / ops / Common.hinclude / mir / Index.h
    src / ops / Concat.hinclude / mir / TensorVariant.h
    src / ops / Conv2D.cppinclude / mir / Tensor.h
    src / ops / Conv2D.hinclude / mir / ops / Conv2DOp.h
    src / ops / Conv2D.hinclude / mir / TensorVariant.h
    src / ops / DeConv2D.cppinclude / mir / TensorUtil.h
    src / ops / DeConv2D.hinclude / mir / Attributes.h
    src / ops / DeConv2D.hinclude / mir / TensorVariant.h
    src / ops / DepthwiseConv2D.cppinclude / mir / ShapeRange.h
    src / ops / DepthwiseConv2D.cppinclude / mir / Tensor.h
    src / ops / DepthwiseConv2D.hinclude / mir / ops / DepthwiseConv2DOp.h
    src / ops / DepthwiseConv2D.hinclude / mir / TensorVariant.h
    src / ops / Div.cppinclude / mir / ShapeRange.h
    src / ops / Div.cppinclude / mir / Tensor.h
    src / ops / Div.hinclude / mir / TensorVariant.h
    src / ops / ELU.cppinclude / mir / ShapeRange.h
    src / ops / ELU.cppinclude / mir / Tensor.h
    src / ops / ELU.hinclude / mir / TensorVariant.h
    src / ops / Equal.cppinclude / mir / ShapeRange.h
    src / ops / Equal.cppinclude / mir / Tensor.h
    src / ops / Equal.hinclude / mir / TensorVariant.h
    src / ops / Fill.hinclude / mir / ShapeRange.h
    src / ops / Fill.hinclude / mir / Tensor.h
    src / ops / FullyConnected.cppinclude / mir / Tensor.h
    src / ops / FullyConnected.hinclude / mir / ops / FullyConnectedOp.h
    src / ops / FullyConnected.hinclude / mir / ShapeRange.h
    src / ops / Gather.cppinclude / mir / Tensor.h
    src / ops / Gather.hinclude / mir / ops / GatherOp.h
    src / ops / Gather.hinclude / mir / TensorVariant.h
    src / ops / Greater.cppinclude / mir / ShapeRange.h
    src / ops / Greater.cppinclude / mir / Tensor.h
    src / ops / Greater.hinclude / mir / TensorVariant.h
    src / ops / HardSwish.hinclude / mir / TensorVariant.h
    src / ops / LeakyReLU.cppinclude / mir / ShapeRange.h
    src / ops / LeakyReLU.cppinclude / mir / Tensor.h
    src / ops / LeakyReLU.hinclude / mir / TensorVariant.h
    src / ops / Less.cppinclude / mir / ShapeRange.h
    src / ops / Less.cppinclude / mir / Tensor.h
    src / ops / Less.hinclude / mir / TensorVariant.h
    src / ops / Max.cppinclude / mir / ShapeRange.h
    src / ops / Max.cppinclude / mir / Tensor.h
    src / ops / Max.hinclude / mir / TensorVariant.h
    src / ops / MaxPool2D.cppinclude / mir / ShapeRange.h
    src / ops / MaxPool2D.cppinclude / mir / Tensor.h
    src / ops / MaxPool2D.hinclude / mir / ops / MaxPool2DOp.h
    src / ops / MaxPool2D.hinclude / mir / TensorVariant.h
    src / ops / Mul.cppinclude / mir / ShapeRange.h
    src / ops / Mul.cppinclude / mir / Tensor.h
    src / ops / Mul.hinclude / mir / TensorVariant.h
    src / ops / Pad.cppinclude / mir / ShapeRange.h
    src / ops / Pad.cppinclude / mir / Tensor.h
    src / ops / Pad.hinclude / mir / ops / PadOp.h
    src / ops / Pad.hinclude / mir / TensorVariant.h
    src / ops / Quantization.cppinclude / mir / Tensor.h
    src / ops / Quantization.cppinclude / mir / ShapeRange.h
    src / ops / Quantization.hinclude / mir / TensorVariant.h
    src / ops / ReduceMean.cppinclude / mir / ops / ReduceMeanOp.h
    src / ops / ReduceMean.cppinclude / mir / Tensor.h
    src / ops / ReduceMean.cppinclude / mir / ShapeRange.h
    src / ops / ReduceMean.hinclude / mir / ops / ReduceMeanOp.h
    src / ops / ReLU.cppinclude / mir / ShapeRange.h
    src / ops / ReLU.cppinclude / mir / Tensor.h
    src / ops / ReLU.hinclude / mir / TensorVariant.h
    src / ops / Reshape.cppinclude / mir / ShapeRange.h
    src / ops / Reshape.hinclude / mir / TensorVariant.h
    src / ops / Sigmoid.cppinclude / mir / ShapeRange.h
    src / ops / Sigmoid.cppinclude / mir / Tensor.h
    src / ops / Sigmoid.hinclude / mir / TensorVariant.h
    src / ops / Slice.cppinclude / mir / Tensor.h
    src / ops / Slice.cppinclude / mir / ShapeRange.h
    src / ops / Slice.hinclude / mir / TensorVariant.h
    src / ops / Softmax.cppinclude / mir / ShapeRange.h
    src / ops / Softmax.cppinclude / mir / Tensor.h
    src / ops / Softmax.hinclude / mir / TensorVariant.h
    src / ops / Sqrt.cppinclude / mir / ShapeRange.h
    src / ops / Sqrt.cppinclude / mir / Tensor.h
    src / ops / Sqrt.hinclude / mir / TensorVariant.h
    src / ops / Sub.cppinclude / mir / ShapeRange.h
    src / ops / Sub.cppinclude / mir / Tensor.h
    src / ops / Sub.hinclude / mir / TensorVariant.h
    src / ops / Tanh.cppinclude / mir / ShapeRange.h
    src / ops / Tanh.cppinclude / mir / Tensor.h
    src / ops / Tanh.hinclude / mir / TensorVariant.h
    src / ops / Transpose.cppinclude / mir / ShapeRange.h
    src / ops / Transpose.cppinclude / mir / Tensor.h
    src / ops / Transpose.hinclude / mir / TensorVariant.h
    src / ops / Transpose.hinclude / mir / ops / TransposeOp.h
    src / MirInterpreter.cppinclude / mir / OpDefs.h
    +

    mir-interpreter → mir Relation

    File in compiler/mir-interpreterIncludes file in compiler/mir
    include / MirInterpreter.hinclude / mir / Operation.h
    include / MirInterpreter.hinclude / mir / TensorVariant.h
    include / MirInterpreter.hinclude / mir / Visitor.h
    src / ops / Abs.cppinclude / mir / ShapeRange.h
    src / ops / Abs.cppinclude / mir / Tensor.h
    src / ops / Abs.hinclude / mir / TensorVariant.h
    src / ops / Add.cppinclude / mir / Tensor.h
    src / ops / Add.cppinclude / mir / ShapeRange.h
    src / ops / Add.hinclude / mir / TensorVariant.h
    src / ops / AvgPool2D.cppinclude / mir / ShapeRange.h
    src / ops / AvgPool2D.cppinclude / mir / Tensor.h
    src / ops / AvgPool2D.hinclude / mir / ops / AvgPool2DOp.h
    src / ops / AvgPool2D.hinclude / mir / TensorVariant.h
    src / ops / CappedReLU.cppinclude / mir / ShapeRange.h
    src / ops / CappedReLU.cppinclude / mir / Tensor.h
    src / ops / CappedReLU.hinclude / mir / TensorVariant.h
    src / ops / Common.hinclude / mir / Tensor.h
    src / ops / Common.hinclude / mir / TensorVariant.h
    src / ops / Common.hinclude / mir / DataType.h
    src / ops / Common.hinclude / mir / Shape.h
    src / ops / Common.hinclude / mir / Index.h
    src / ops / Concat.hinclude / mir / TensorVariant.h
    src / ops / Conv2D.cppinclude / mir / Tensor.h
    src / ops / Conv2D.hinclude / mir / ops / Conv2DOp.h
    src / ops / Conv2D.hinclude / mir / TensorVariant.h
    src / ops / DeConv2D.cppinclude / mir / TensorUtil.h
    src / ops / DeConv2D.hinclude / mir / Attributes.h
    src / ops / DeConv2D.hinclude / mir / TensorVariant.h
    src / ops / DepthwiseConv2D.cppinclude / mir / ShapeRange.h
    src / ops / DepthwiseConv2D.cppinclude / mir / Tensor.h
    src / ops / DepthwiseConv2D.hinclude / mir / ops / DepthwiseConv2DOp.h
    src / ops / DepthwiseConv2D.hinclude / mir / TensorVariant.h
    src / ops / Div.cppinclude / mir / ShapeRange.h
    src / ops / Div.cppinclude / mir / Tensor.h
    src / ops / Div.hinclude / mir / TensorVariant.h
    src / ops / ELU.cppinclude / mir / ShapeRange.h
    src / ops / ELU.cppinclude / mir / Tensor.h
    src / ops / ELU.hinclude / mir / TensorVariant.h
    src / ops / Equal.cppinclude / mir / ShapeRange.h
    src / ops / Equal.cppinclude / mir / Tensor.h
    src / ops / Equal.hinclude / mir / TensorVariant.h
    src / ops / Fill.hinclude / mir / ShapeRange.h
    src / ops / Fill.hinclude / mir / Tensor.h
    src / ops / FullyConnected.cppinclude / mir / Tensor.h
    src / ops / FullyConnected.hinclude / mir / ops / FullyConnectedOp.h
    src / ops / FullyConnected.hinclude / mir / ShapeRange.h
    src / ops / Gather.cppinclude / mir / Tensor.h
    src / ops / Gather.hinclude / mir / ops / GatherOp.h
    src / ops / Gather.hinclude / mir / TensorVariant.h
    src / ops / Greater.cppinclude / mir / ShapeRange.h
    src / ops / Greater.cppinclude / mir / Tensor.h
    src / ops / Greater.hinclude / mir / TensorVariant.h
    src / ops / HardSwish.hinclude / mir / TensorVariant.h
    src / ops / LeakyReLU.cppinclude / mir / ShapeRange.h
    src / ops / LeakyReLU.cppinclude / mir / Tensor.h
    src / ops / LeakyReLU.hinclude / mir / TensorVariant.h
    src / ops / Less.cppinclude / mir / ShapeRange.h
    src / ops / Less.cppinclude / mir / Tensor.h
    src / ops / Less.hinclude / mir / TensorVariant.h
    src / ops / Max.cppinclude / mir / ShapeRange.h
    src / ops / Max.cppinclude / mir / Tensor.h
    src / ops / Max.hinclude / mir / TensorVariant.h
    src / ops / MaxPool2D.cppinclude / mir / ShapeRange.h
    src / ops / MaxPool2D.cppinclude / mir / Tensor.h
    src / ops / MaxPool2D.hinclude / mir / ops / MaxPool2DOp.h
    src / ops / MaxPool2D.hinclude / mir / TensorVariant.h
    src / ops / Mul.cppinclude / mir / ShapeRange.h
    src / ops / Mul.cppinclude / mir / Tensor.h
    src / ops / Mul.hinclude / mir / TensorVariant.h
    src / ops / Pad.cppinclude / mir / ShapeRange.h
    src / ops / Pad.cppinclude / mir / Tensor.h
    src / ops / Pad.hinclude / mir / ops / PadOp.h
    src / ops / Pad.hinclude / mir / TensorVariant.h
    src / ops / Quantization.cppinclude / mir / Tensor.h
    src / ops / Quantization.cppinclude / mir / ShapeRange.h
    src / ops / Quantization.hinclude / mir / TensorVariant.h
    src / ops / ReduceMean.cppinclude / mir / ops / ReduceMeanOp.h
    src / ops / ReduceMean.cppinclude / mir / Tensor.h
    src / ops / ReduceMean.cppinclude / mir / ShapeRange.h
    src / ops / ReduceMean.hinclude / mir / ops / ReduceMeanOp.h
    src / ops / ReLU.cppinclude / mir / ShapeRange.h
    src / ops / ReLU.cppinclude / mir / Tensor.h
    src / ops / ReLU.hinclude / mir / TensorVariant.h
    src / ops / Reshape.cppinclude / mir / ShapeRange.h
    src / ops / Reshape.hinclude / mir / TensorVariant.h
    src / ops / Sigmoid.cppinclude / mir / ShapeRange.h
    src / ops / Sigmoid.cppinclude / mir / Tensor.h
    src / ops / Sigmoid.hinclude / mir / TensorVariant.h
    src / ops / Slice.cppinclude / mir / Tensor.h
    src / ops / Slice.cppinclude / mir / ShapeRange.h
    src / ops / Slice.hinclude / mir / TensorVariant.h
    src / ops / Softmax.cppinclude / mir / ShapeRange.h
    src / ops / Softmax.cppinclude / mir / Tensor.h
    src / ops / Softmax.hinclude / mir / TensorVariant.h
    src / ops / Sqrt.cppinclude / mir / ShapeRange.h
    src / ops / Sqrt.cppinclude / mir / Tensor.h
    src / ops / Sqrt.hinclude / mir / TensorVariant.h
    src / ops / Sub.cppinclude / mir / ShapeRange.h
    src / ops / Sub.cppinclude / mir / Tensor.h
    src / ops / Sub.hinclude / mir / TensorVariant.h
    src / ops / Tanh.cppinclude / mir / ShapeRange.h
    src / ops / Tanh.cppinclude / mir / Tensor.h
    src / ops / Tanh.hinclude / mir / TensorVariant.h
    src / ops / Transpose.cppinclude / mir / ShapeRange.h
    src / ops / Transpose.cppinclude / mir / Tensor.h
    src / ops / Transpose.hinclude / mir / TensorVariant.h
    src / ops / Transpose.hinclude / mir / ops / TransposeOp.h
    src / MirInterpreter.cppinclude / mir / OpDefs.h
    @@ -89,12 +89,12 @@
    -

    mir_caffe2_importer → mir Relation

    File in compiler/mir/include/mir_caffe2_importerIncludes file in compiler/mir/include/mir
    caffe2_importer.hGraph.h
    +

    mir2loco → mir Relation

    File in compiler/mir2locoIncludes file in compiler/mir
    include / mir2loco.hinclude / mir / Graph.h
    include / mir2loco.hinclude / mir / Visitor.h
    src / mir2loco.cppinclude / mir / ops / AddOp.h
    src / mir2loco.cppinclude / mir / ops / AvgPool2DOp.h
    src / mir2loco.cppinclude / mir / ops / ConcatOp.h
    src / mir2loco.cppinclude / mir / ops / ConstantOp.h
    src / mir2loco.cppinclude / mir / ops / Conv2DOp.h
    src / mir2loco.cppinclude / mir / ops / Deconv2DOp.h
    src / mir2loco.cppinclude / mir / ops / DepthwiseConv2DOp.h
    src / mir2loco.cppinclude / mir / ops / DivOp.h
    src / mir2loco.cppinclude / mir / ops / FullyConnectedOp.h
    src / mir2loco.cppinclude / mir / ops / MaxPool2DOp.h
    src / mir2loco.cppinclude / mir / ops / MulOp.h
    src / mir2loco.cppinclude / mir / ops / ReluOp.h
    src / mir2loco.cppinclude / mir / ops / ReshapeOp.h
    src / mir2loco.cppinclude / mir / ops / SoftmaxOp.h
    src / mir2loco.cppinclude / mir / ops / SubOp.h
    src / mir2loco.cppinclude / mir / ops / TransposeOp.h
    src / mir2loco.cppinclude / mir / ShapeRange.h
    diff --git a/dir_000550_000543.html b/dir_000547_000544.html similarity index 83% rename from dir_000550_000543.html rename to dir_000547_000544.html index 841de7ee5c4..f8be93f950f 100644 --- a/dir_000550_000543.html +++ b/dir_000547_000544.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/mir/include/mir_onnx_importer -> mir Relation +ONE - On-device Neural Engine: compiler/mir/include/mir_caffe2_importer -> mir Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    mir_onnx_importer → mir Relation

    File in compiler/mir/include/mir_onnx_importerIncludes file in compiler/mir/include/mir
    ONNXImporterImpl.hGraph.h
    +

    mir_caffe2_importer → mir Relation

    File in compiler/mir/include/mir_caffe2_importerIncludes file in compiler/mir/include/mir
    caffe2_importer.hGraph.h
    diff --git a/dir_000547_000340.html b/dir_000548_000340.html similarity index 100% rename from dir_000547_000340.html rename to dir_000548_000340.html diff --git a/dir_000548_000543.html b/dir_000549_000544.html similarity index 100% rename from dir_000548_000543.html rename to dir_000549_000544.html diff --git a/dir_000549_000340.html b/dir_000550_000340.html similarity index 100% rename from dir_000549_000340.html rename to dir_000550_000340.html diff --git a/dir_000551_000544.html b/dir_000551_000544.html index 670309f2629..841de7ee5c4 100644 --- a/dir_000551_000544.html +++ b/dir_000551_000544.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/mir/src/mir_onnx_importer -> mir-interpreter Relation +ONE - On-device Neural Engine: compiler/mir/include/mir_onnx_importer -> mir Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    mir_onnx_importer → mir-interpreter Relation

    File in compiler/mir/src/mir_onnx_importerIncludes file in compiler/mir-interpreter
    ONNXHelpers.cppinclude / MirInterpreter.h
    +

    mir_onnx_importer → mir Relation

    File in compiler/mir/include/mir_onnx_importerIncludes file in compiler/mir/include/mir
    ONNXImporterImpl.hGraph.h
    diff --git a/dir_000551_000340.html b/dir_000552_000340.html similarity index 100% rename from dir_000551_000340.html rename to dir_000552_000340.html diff --git a/dir_001006_000037.html b/dir_000552_000545.html similarity index 78% rename from dir_001006_000037.html rename to dir_000552_000545.html index 3f89914b1c2..670309f2629 100644 --- a/dir_001006_000037.html +++ b/dir_000552_000545.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tfl-inspect -> arser Relation +ONE - On-device Neural Engine: compiler/mir/src/mir_onnx_importer -> mir-interpreter Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tfl-inspect → arser Relation

    File in compiler/tfl-inspectIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    +

    mir_onnx_importer → mir-interpreter Relation

    File in compiler/mir/src/mir_onnx_importerIncludes file in compiler/mir-interpreter
    ONNXHelpers.cppinclude / MirInterpreter.h
    diff --git a/dir_000551_000661.html b/dir_000552_000662.html similarity index 100% rename from dir_000551_000661.html rename to dir_000552_000662.html diff --git a/dir_000552_000543.html b/dir_000553_000544.html similarity index 100% rename from dir_000552_000543.html rename to dir_000553_000544.html diff --git a/dir_000553_000340.html b/dir_000554_000340.html similarity index 100% rename from dir_000553_000340.html rename to dir_000554_000340.html diff --git a/dir_000557_000988.html b/dir_000558_000990.html similarity index 100% rename from dir_000557_000988.html rename to dir_000558_000990.html diff --git a/dir_000558_000270.html b/dir_000559_000270.html similarity index 100% rename from dir_000558_000270.html rename to dir_000559_000270.html diff --git a/dir_000560_000455.html b/dir_000560_000455.html index d1265abe427..7038e3475d8 100644 --- a/dir_000560_000455.html +++ b/dir_000560_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco -> loco Relation +ONE - On-device Neural Engine: compiler/moco-tf/include/moco -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    moco → loco Relation

    File in compiler/mocoIncludes file in compiler/loco
    import / include / moco / Import / GraphBuilderContext.hinclude / loco.h
    import / include / moco / Import / ModelSignature.hinclude / loco.h
    lang / src / IR / TFDialect.cppinclude / loco / IR / Graph.h
    lang / src / IR / TFDialect.cppinclude / loco / IR / GraphInputIndex.h
    lang / src / IR / TFDialect.cppinclude / loco / IR / GraphOutputIndex.h
    lang / include / moco / IR / TFDialect.hinclude / loco / IR / Dialect.h
    lang / include / moco / IR / TFNodeDecl.hinclude / loco / IR / Dialect.h
    lang / include / moco / IR / TFNodeDecl.hinclude / loco / IR / Node.h
    lang / include / moco / IR / VariadicArityNode.hinclude / loco / IR / Node.h
    lang / include / moco / IR / VariadicArityNode.hinclude / loco / IR / Use.h
    import / include / moco / GraphHelper.hinclude / loco.h
    import / include / moco / Importer.hinclude / loco.h
    import / src / Nodes / Add.cppinclude / loco.h
    import / src / Nodes / AvgPool.cppinclude / loco / IR / PermutingCodec.h
    import / src / Nodes / BiasAdd.cppinclude / loco.h
    import / src / Nodes / BiasAdd.cppinclude / loco / IR / PermutingCodec.h
    import / src / Nodes / Concat.cppinclude / loco.h
    import / src / Nodes / Const.cppinclude / loco.h
    import / src / Nodes / Conv2D.cppinclude / loco.h
    import / src / Nodes / Conv2D.cppinclude / loco / IR / PermutingCodec.h
    import / src / Nodes / Conv2DBackpropInput.cppinclude / loco.h
    import / src / Nodes / DepthwiseConv2dNative.cppinclude / loco / IR / PermutingCodec.h
    import / src / Nodes / FakeQuantWithMinMaxVars.cppinclude / loco / IR / PermutingCodec.h
    import / src / Nodes / FusedBatchNorm.cppinclude / loco.h
    import / src / Nodes / Identity.cppinclude / loco.h
    import / src / Nodes / Maximum.cppinclude / loco.h
    import / src / Nodes / MaxPool.cppinclude / loco.h
    import / src / Nodes / MaxPool.cppinclude / loco / IR / PermutingCodec.h
    import / src / Nodes / Mean.cppinclude / loco.h
    import / src / Nodes / Mul.cppinclude / loco.h
    import / src / Nodes / Pack.cppinclude / loco.h
    import / src / Nodes / Pack.cppinclude / loco / IR / NodeShape.h
    import / src / Nodes / Pad.cppinclude / loco.h
    import / src / Nodes / RealDiv.cppinclude / loco.h
    import / src / Nodes / Relu.cppinclude / loco.h
    import / src / Nodes / Reshape.cppinclude / loco.h
    import / src / Nodes / Rsqrt.cppinclude / loco.h
    import / src / Nodes / Shape.cppinclude / loco.h
    import / src / Nodes / Softmax.cppinclude / loco.h
    import / src / Nodes / Sqrt.cppinclude / loco.h
    import / src / Nodes / SquaredDifference.cppinclude / loco.h
    import / src / Nodes / Squeeze.cppinclude / loco.h
    import / src / Nodes / StopGradient.cppinclude / loco.h
    import / src / Nodes / StridedSlice.cppinclude / loco.h
    import / src / Nodes / Sub.cppinclude / loco.h
    import / src / Nodes / Tanh.cppinclude / loco.h
    lang / include / moco / IR / Nodes / TFConst.hinclude / loco / IR / DataTypeTraits.h
    lang / include / moco / IR / Nodes / TFConst.hinclude / loco / IR / NodeMixins.h
    lang / include / moco / IR / Nodes / TFConst.hinclude / loco / IR / TensorShape.h
    lang / include / moco / IR / Nodes / TFPlaceholder.hinclude / loco / IR / DataTypeTraits.h
    lang / include / moco / IR / Nodes / TFPlaceholder.hinclude / loco / IR / NodeMixins.h
    lang / include / moco / IR / Nodes / TFPlaceholder.hinclude / loco / IR / GraphInputIndex.h
    lang / include / moco / IR / Nodes / TFPlaceholder.hinclude / loco / IR / TensorShape.h
    lang / include / moco / IR / Nodes / TFPush.hinclude / loco.h
    lang / include / moco / IR / Nodes / TFShape.hinclude / loco / IR / NodeMixins.h
    pass / include / moco / Pass / Passes / ConstantFoldAdd.hinclude / loco.h
    pass / include / moco / Pass / Passes / ConstantFoldMul.hinclude / loco.h
    pass / include / moco / Pass / Passes / ConstantFoldPack.hinclude / loco.h
    pass / include / moco / Pass / Passes / ConstantFoldStridedSlice.hinclude / loco.h
    pass / include / moco / Pass / Passes / FuseBinaryIntoPreceding.hinclude / loco.h
    pass / include / moco / Pass / Passes / RemoveTFIdentityNode.hinclude / loco.h
    pass / include / moco / Pass / Passes / ResolveConstantShape.hinclude / loco.h
    pass / include / moco / Pass / Passes / ResolveFusedBatchNorm.hinclude / loco.h
    pass / include / moco / Pass / Passes / ResolveReshapeWildcardDim.hinclude / loco.h
    pass / include / moco / Pass / Passes / ResolveSquaredDifference.hinclude / loco.h
    pass / include / moco / Pass / Passes / SqueezeReduceNode.hinclude / loco.h
    pass / src / Passes / ConstantFoldPack.cppinclude / loco / IR / TensorShape.h
    pass / src / Passes / ResolveConstantShape.cppinclude / loco.h
    pass / src / Passes / ResolveSquaredDifference.cppinclude / loco / IR / NodeShape.h
    pass / src / Passes / ResolveSquaredDifference.cppinclude / loco / Service / ShapeInference.h
    service / include / moco / Service / TFShapeInferenceRule.hinclude / loco / Service / ShapeInferenceRule.h
    service / include / moco / Service / TFTypeInferenceRule.hinclude / loco / Service / TypeInference.h
    service / src / Service / TFShapeInferenceRule.cppinclude / loco / IR / NodeShape.h
    service / src / Service / TFShapeInferenceRule.cppinclude / loco / Service / ShapeInference.h
    import / src / TestHelper.hinclude / loco.h
    pass / src / ConstantFoldHelper.hinclude / loco.h
    pass / src / ConstantFoldHelper.hinclude / loco / IR / TensorShape.h
    pass / src / TensorPackEnumerator.hinclude / loco / IR / TensorShape.h
    pass / src / TensorSliceEnumerator.hinclude / loco / IR / TensorShape.h
    pass / src / TestHelper.hinclude / loco.h
    service / src / TestHelper.hinclude / loco.h
    support / src / TFShapeInferenceHelper.cppinclude / loco / Service / ShapeInference.h
    support / include / moco / Support / NodeAs.hinclude / loco.h
    support / include / moco / Support / TFShapeInferenceHelper.hinclude / loco.h
    support / include / moco / Support / TFShapeInferenceHelper.hinclude / loco / IR / NodeShape.h
    support / include / moco / Support / TFShapeInferenceHelper.hinclude / loco / IR / Padding2D.h
    support / include / moco / Support / TFShapeInferenceHelper.hinclude / loco / IR / Stride.h
    support / include / moco / Support / TFShapeInferenceHelper.hinclude / loco / IR / Window.h
    +

    moco → loco Relation

    File in compiler/moco-tf/include/mocoIncludes file in compiler/loco
    tf / Frontend.hinclude / loco.h
    diff --git a/dir_000559_000560.html b/dir_000560_000561.html similarity index 100% rename from dir_000559_000560.html rename to dir_000560_000561.html diff --git a/dir_000560_000656.html b/dir_000560_000656.html deleted file mode 100644 index f44ed7994d7..00000000000 --- a/dir_000560_000656.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/moco -> oops Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - - - - - - diff --git a/dir_000560_000738.html b/dir_000560_000738.html deleted file mode 100644 index 417770b6409..00000000000 --- a/dir_000560_000738.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/moco -> plier-tf Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    moco → plier-tf Relation

    File in compiler/mocoIncludes file in compiler/plier-tf
    import / src / Nodes / AvgPool.cppinclude / plier / tf / Convert.h
    import / src / Nodes / BiasAdd.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Concat.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Const.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Conv2D.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Conv2DBackpropInput.cppinclude / plier / tf / Convert.h
    import / src / Nodes / DepthwiseConv2dNative.cppinclude / plier / tf / Convert.h
    import / src / Nodes / FakeQuantWithMinMaxVars.cppinclude / plier / tf / Convert.h
    import / src / Nodes / FusedBatchNorm.cppinclude / plier / tf / Convert.h
    import / src / Nodes / MaxPool.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Mean.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Pack.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Pad.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Placeholder.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Reshape.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Shape.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Softmax.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Squeeze.cppinclude / plier / tf / Convert.h
    import / src / Nodes / StopGradient.cppinclude / plier / tf / Convert.h
    import / src / Nodes / StridedSlice.cppinclude / plier / tf / Convert.h
    import / src / TestHelper.hinclude / plier / tf / TestHelper.h
    -
    - - - - diff --git a/dir_000561_000027.html b/dir_000561_000027.html index 2e5fa05fa63..e9adaa1b055 100644 --- a/dir_000561_000027.html +++ b/dir_000561_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/import/include/moco -> angkor Relation +ONE - On-device Neural Engine: compiler/moco -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    moco → angkor Relation

    File in compiler/moco/import/include/mocoIncludes file in compiler/angkor
    Import / ModelSignature.hinclude / angkor / TensorShape.h
    +

    moco → angkor Relation

    File in compiler/mocoIncludes file in compiler/angkor
    import / include / moco / Import / ModelSignature.hinclude / angkor / TensorShape.h
    diff --git a/dir_000561_000455.html b/dir_000561_000455.html index 111cb09f184..0eaf72e2135 100644 --- a/dir_000561_000455.html +++ b/dir_000561_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/import/include/moco -> loco Relation +ONE - On-device Neural Engine: compiler/moco -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    moco → loco Relation

    File in compiler/moco/import/include/mocoIncludes file in compiler/loco
    Import / GraphBuilderContext.hinclude / loco.h
    GraphHelper.hinclude / loco.h
    Importer.hinclude / loco.h
    Import / ModelSignature.hinclude / loco.h
    +

    moco → loco Relation

    File in compiler/mocoIncludes file in compiler/loco
    import / include / moco / Import / GraphBuilderContext.hinclude / loco.h
    import / include / moco / Import / ModelSignature.hinclude / loco.h
    lang / src / IR / TFDialect.cppinclude / loco / IR / Graph.h
    lang / src / IR / TFDialect.cppinclude / loco / IR / GraphInputIndex.h
    lang / src / IR / TFDialect.cppinclude / loco / IR / GraphOutputIndex.h
    lang / include / moco / IR / TFDialect.hinclude / loco / IR / Dialect.h
    lang / include / moco / IR / TFNodeDecl.hinclude / loco / IR / Dialect.h
    lang / include / moco / IR / TFNodeDecl.hinclude / loco / IR / Node.h
    lang / include / moco / IR / VariadicArityNode.hinclude / loco / IR / Node.h
    lang / include / moco / IR / VariadicArityNode.hinclude / loco / IR / Use.h
    import / include / moco / GraphHelper.hinclude / loco.h
    import / include / moco / Importer.hinclude / loco.h
    import / src / Nodes / Add.cppinclude / loco.h
    import / src / Nodes / AvgPool.cppinclude / loco / IR / PermutingCodec.h
    import / src / Nodes / BiasAdd.cppinclude / loco.h
    import / src / Nodes / BiasAdd.cppinclude / loco / IR / PermutingCodec.h
    import / src / Nodes / Concat.cppinclude / loco.h
    import / src / Nodes / Const.cppinclude / loco.h
    import / src / Nodes / Conv2D.cppinclude / loco.h
    import / src / Nodes / Conv2D.cppinclude / loco / IR / PermutingCodec.h
    import / src / Nodes / Conv2DBackpropInput.cppinclude / loco.h
    import / src / Nodes / DepthwiseConv2dNative.cppinclude / loco / IR / PermutingCodec.h
    import / src / Nodes / FakeQuantWithMinMaxVars.cppinclude / loco / IR / PermutingCodec.h
    import / src / Nodes / FusedBatchNorm.cppinclude / loco.h
    import / src / Nodes / Identity.cppinclude / loco.h
    import / src / Nodes / Maximum.cppinclude / loco.h
    import / src / Nodes / MaxPool.cppinclude / loco.h
    import / src / Nodes / MaxPool.cppinclude / loco / IR / PermutingCodec.h
    import / src / Nodes / Mean.cppinclude / loco.h
    import / src / Nodes / Mul.cppinclude / loco.h
    import / src / Nodes / Pack.cppinclude / loco.h
    import / src / Nodes / Pack.cppinclude / loco / IR / NodeShape.h
    import / src / Nodes / Pad.cppinclude / loco.h
    import / src / Nodes / RealDiv.cppinclude / loco.h
    import / src / Nodes / Relu.cppinclude / loco.h
    import / src / Nodes / Reshape.cppinclude / loco.h
    import / src / Nodes / Rsqrt.cppinclude / loco.h
    import / src / Nodes / Shape.cppinclude / loco.h
    import / src / Nodes / Softmax.cppinclude / loco.h
    import / src / Nodes / Sqrt.cppinclude / loco.h
    import / src / Nodes / SquaredDifference.cppinclude / loco.h
    import / src / Nodes / Squeeze.cppinclude / loco.h
    import / src / Nodes / StopGradient.cppinclude / loco.h
    import / src / Nodes / StridedSlice.cppinclude / loco.h
    import / src / Nodes / Sub.cppinclude / loco.h
    import / src / Nodes / Tanh.cppinclude / loco.h
    lang / include / moco / IR / Nodes / TFConst.hinclude / loco / IR / DataTypeTraits.h
    lang / include / moco / IR / Nodes / TFConst.hinclude / loco / IR / NodeMixins.h
    lang / include / moco / IR / Nodes / TFConst.hinclude / loco / IR / TensorShape.h
    lang / include / moco / IR / Nodes / TFPlaceholder.hinclude / loco / IR / DataTypeTraits.h
    lang / include / moco / IR / Nodes / TFPlaceholder.hinclude / loco / IR / NodeMixins.h
    lang / include / moco / IR / Nodes / TFPlaceholder.hinclude / loco / IR / GraphInputIndex.h
    lang / include / moco / IR / Nodes / TFPlaceholder.hinclude / loco / IR / TensorShape.h
    lang / include / moco / IR / Nodes / TFPush.hinclude / loco.h
    lang / include / moco / IR / Nodes / TFShape.hinclude / loco / IR / NodeMixins.h
    pass / include / moco / Pass / Passes / ConstantFoldAdd.hinclude / loco.h
    pass / include / moco / Pass / Passes / ConstantFoldMul.hinclude / loco.h
    pass / include / moco / Pass / Passes / ConstantFoldPack.hinclude / loco.h
    pass / include / moco / Pass / Passes / ConstantFoldStridedSlice.hinclude / loco.h
    pass / include / moco / Pass / Passes / FuseBinaryIntoPreceding.hinclude / loco.h
    pass / include / moco / Pass / Passes / RemoveTFIdentityNode.hinclude / loco.h
    pass / include / moco / Pass / Passes / ResolveConstantShape.hinclude / loco.h
    pass / include / moco / Pass / Passes / ResolveFusedBatchNorm.hinclude / loco.h
    pass / include / moco / Pass / Passes / ResolveReshapeWildcardDim.hinclude / loco.h
    pass / include / moco / Pass / Passes / ResolveSquaredDifference.hinclude / loco.h
    pass / include / moco / Pass / Passes / SqueezeReduceNode.hinclude / loco.h
    pass / src / Passes / ConstantFoldPack.cppinclude / loco / IR / TensorShape.h
    pass / src / Passes / ResolveConstantShape.cppinclude / loco.h
    pass / src / Passes / ResolveSquaredDifference.cppinclude / loco / IR / NodeShape.h
    pass / src / Passes / ResolveSquaredDifference.cppinclude / loco / Service / ShapeInference.h
    service / include / moco / Service / TFShapeInferenceRule.hinclude / loco / Service / ShapeInferenceRule.h
    service / include / moco / Service / TFTypeInferenceRule.hinclude / loco / Service / TypeInference.h
    service / src / Service / TFShapeInferenceRule.cppinclude / loco / IR / NodeShape.h
    service / src / Service / TFShapeInferenceRule.cppinclude / loco / Service / ShapeInference.h
    import / src / TestHelper.hinclude / loco.h
    pass / src / ConstantFoldHelper.hinclude / loco.h
    pass / src / ConstantFoldHelper.hinclude / loco / IR / TensorShape.h
    pass / src / TensorPackEnumerator.hinclude / loco / IR / TensorShape.h
    pass / src / TensorSliceEnumerator.hinclude / loco / IR / TensorShape.h
    pass / src / TestHelper.hinclude / loco.h
    service / src / TestHelper.hinclude / loco.h
    support / src / TFShapeInferenceHelper.cppinclude / loco / Service / ShapeInference.h
    support / include / moco / Support / NodeAs.hinclude / loco.h
    support / include / moco / Support / TFShapeInferenceHelper.hinclude / loco.h
    support / include / moco / Support / TFShapeInferenceHelper.hinclude / loco / IR / NodeShape.h
    support / include / moco / Support / TFShapeInferenceHelper.hinclude / loco / IR / Padding2D.h
    support / include / moco / Support / TFShapeInferenceHelper.hinclude / loco / IR / Stride.h
    support / include / moco / Support / TFShapeInferenceHelper.hinclude / loco / IR / Window.h
    diff --git a/dir_000560_000478.html b/dir_000561_000478.html similarity index 100% rename from dir_000560_000478.html rename to dir_000561_000478.html diff --git a/dir_000561_000657.html b/dir_000561_000657.html new file mode 100644 index 00000000000..d48fb551e6c --- /dev/null +++ b/dir_000561_000657.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/moco -> oops Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + + + + + + diff --git a/dir_000561_000739.html b/dir_000561_000739.html new file mode 100644 index 00000000000..ba989f6da5c --- /dev/null +++ b/dir_000561_000739.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/moco -> plier-tf Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    moco → plier-tf Relation

    File in compiler/mocoIncludes file in compiler/plier-tf
    import / src / Nodes / AvgPool.cppinclude / plier / tf / Convert.h
    import / src / Nodes / BiasAdd.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Concat.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Const.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Conv2D.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Conv2DBackpropInput.cppinclude / plier / tf / Convert.h
    import / src / Nodes / DepthwiseConv2dNative.cppinclude / plier / tf / Convert.h
    import / src / Nodes / FakeQuantWithMinMaxVars.cppinclude / plier / tf / Convert.h
    import / src / Nodes / FusedBatchNorm.cppinclude / plier / tf / Convert.h
    import / src / Nodes / MaxPool.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Mean.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Pack.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Pad.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Placeholder.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Reshape.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Shape.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Softmax.cppinclude / plier / tf / Convert.h
    import / src / Nodes / Squeeze.cppinclude / plier / tf / Convert.h
    import / src / Nodes / StopGradient.cppinclude / plier / tf / Convert.h
    import / src / Nodes / StridedSlice.cppinclude / plier / tf / Convert.h
    import / src / TestHelper.hinclude / plier / tf / TestHelper.h
    +
    + + + + diff --git a/dir_000560_000027.html b/dir_000562_000027.html similarity index 76% rename from dir_000560_000027.html rename to dir_000562_000027.html index e9adaa1b055..2e5fa05fa63 100644 --- a/dir_000560_000027.html +++ b/dir_000562_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco -> angkor Relation +ONE - On-device Neural Engine: compiler/moco/import/include/moco -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    moco → angkor Relation

    File in compiler/mocoIncludes file in compiler/angkor
    import / include / moco / Import / ModelSignature.hinclude / angkor / TensorShape.h
    +

    moco → angkor Relation

    File in compiler/moco/import/include/mocoIncludes file in compiler/angkor
    Import / ModelSignature.hinclude / angkor / TensorShape.h
    diff --git a/dir_000561_000280.html b/dir_000562_000280.html similarity index 100% rename from dir_000561_000280.html rename to dir_000562_000280.html diff --git a/dir_000561_000443.html b/dir_000562_000443.html similarity index 100% rename from dir_000561_000443.html rename to dir_000562_000443.html diff --git a/dir_000562_000455.html b/dir_000562_000455.html index baf4fe8654f..111cb09f184 100644 --- a/dir_000562_000455.html +++ b/dir_000562_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/lang/include/moco -> loco Relation +ONE - On-device Neural Engine: compiler/moco/import/include/moco -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    moco → loco Relation

    File in compiler/moco/lang/include/mocoIncludes file in compiler/loco
    IR / TFDialect.hinclude / loco / IR / Dialect.h
    IR / TFNodeDecl.hinclude / loco / IR / Dialect.h
    IR / TFNodeDecl.hinclude / loco / IR / Node.h
    IR / VariadicArityNode.hinclude / loco / IR / Node.h
    IR / VariadicArityNode.hinclude / loco / IR / Use.h
    IR / Nodes / TFConst.hinclude / loco / IR / DataTypeTraits.h
    IR / Nodes / TFConst.hinclude / loco / IR / NodeMixins.h
    IR / Nodes / TFConst.hinclude / loco / IR / TensorShape.h
    IR / Nodes / TFPlaceholder.hinclude / loco / IR / DataTypeTraits.h
    IR / Nodes / TFPlaceholder.hinclude / loco / IR / NodeMixins.h
    IR / Nodes / TFPlaceholder.hinclude / loco / IR / GraphInputIndex.h
    IR / Nodes / TFPlaceholder.hinclude / loco / IR / TensorShape.h
    IR / Nodes / TFPush.hinclude / loco.h
    IR / Nodes / TFShape.hinclude / loco / IR / NodeMixins.h
    +

    moco → loco Relation

    File in compiler/moco/import/include/mocoIncludes file in compiler/loco
    Import / GraphBuilderContext.hinclude / loco.h
    GraphHelper.hinclude / loco.h
    Importer.hinclude / loco.h
    Import / ModelSignature.hinclude / loco.h
    diff --git a/dir_000563_000455.html b/dir_000563_000455.html index fa68f5fd7b3..baf4fe8654f 100644 --- a/dir_000563_000455.html +++ b/dir_000563_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/pass/include/moco -> loco Relation +ONE - On-device Neural Engine: compiler/moco/lang/include/moco -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    moco → loco Relation

    File in compiler/moco/lang/include/mocoIncludes file in compiler/loco
    IR / TFDialect.hinclude / loco / IR / Dialect.h
    IR / TFNodeDecl.hinclude / loco / IR / Dialect.h
    IR / TFNodeDecl.hinclude / loco / IR / Node.h
    IR / VariadicArityNode.hinclude / loco / IR / Node.h
    IR / VariadicArityNode.hinclude / loco / IR / Use.h
    IR / Nodes / TFConst.hinclude / loco / IR / DataTypeTraits.h
    IR / Nodes / TFConst.hinclude / loco / IR / NodeMixins.h
    IR / Nodes / TFConst.hinclude / loco / IR / TensorShape.h
    IR / Nodes / TFPlaceholder.hinclude / loco / IR / DataTypeTraits.h
    IR / Nodes / TFPlaceholder.hinclude / loco / IR / NodeMixins.h
    IR / Nodes / TFPlaceholder.hinclude / loco / IR / GraphInputIndex.h
    IR / Nodes / TFPlaceholder.hinclude / loco / IR / TensorShape.h
    IR / Nodes / TFPush.hinclude / loco.h
    IR / Nodes / TFShape.hinclude / loco / IR / NodeMixins.h
    diff --git a/dir_000564_000455.html b/dir_000564_000455.html index 32bdde17519..fa68f5fd7b3 100644 --- a/dir_000564_000455.html +++ b/dir_000564_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/service/include/moco -> loco Relation +ONE - On-device Neural Engine: compiler/moco/pass/include/moco -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    moco → loco Relation

    File in compiler/moco/service/include/mocoIncludes file in compiler/loco
    Service / TFShapeInferenceRule.hinclude / loco / Service / ShapeInferenceRule.h
    Service / TFTypeInferenceRule.hinclude / loco / Service / TypeInference.h
    +

    moco → loco Relation

    File in compiler/moco/pass/include/mocoIncludes file in compiler/loco
    Pass / Passes / ConstantFoldAdd.hinclude / loco.h
    Pass / Passes / ConstantFoldMul.hinclude / loco.h
    Pass / Passes / ConstantFoldPack.hinclude / loco.h
    Pass / Passes / ConstantFoldStridedSlice.hinclude / loco.h
    Pass / Passes / FuseBinaryIntoPreceding.hinclude / loco.h
    Pass / Passes / RemoveTFIdentityNode.hinclude / loco.h
    Pass / Passes / ResolveConstantShape.hinclude / loco.h
    Pass / Passes / ResolveFusedBatchNorm.hinclude / loco.h
    Pass / Passes / ResolveReshapeWildcardDim.hinclude / loco.h
    Pass / Passes / ResolveSquaredDifference.hinclude / loco.h
    Pass / Passes / SqueezeReduceNode.hinclude / loco.h
    diff --git a/dir_000563_000478.html b/dir_000564_000478.html similarity index 100% rename from dir_000563_000478.html rename to dir_000564_000478.html diff --git a/dir_000565_000455.html b/dir_000565_000455.html index 64aaecdb887..32bdde17519 100644 --- a/dir_000565_000455.html +++ b/dir_000565_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/support/include/moco -> loco Relation +ONE - On-device Neural Engine: compiler/moco/service/include/moco -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    moco → loco Relation

    File in compiler/moco/support/include/mocoIncludes file in compiler/loco
    Support / NodeAs.hinclude / loco.h
    Support / TFShapeInferenceHelper.hinclude / loco.h
    Support / TFShapeInferenceHelper.hinclude / loco / IR / NodeShape.h
    Support / TFShapeInferenceHelper.hinclude / loco / IR / Padding2D.h
    Support / TFShapeInferenceHelper.hinclude / loco / IR / Stride.h
    Support / TFShapeInferenceHelper.hinclude / loco / IR / Window.h
    +

    moco → loco Relation

    File in compiler/moco/service/include/mocoIncludes file in compiler/loco
    Service / TFShapeInferenceRule.hinclude / loco / Service / ShapeInferenceRule.h
    Service / TFTypeInferenceRule.hinclude / loco / Service / TypeInference.h
    diff --git a/dir_000565_000443.html b/dir_000566_000443.html similarity index 100% rename from dir_000565_000443.html rename to dir_000566_000443.html diff --git a/dir_000566_000455.html b/dir_000566_000455.html index d46f4864017..64aaecdb887 100644 --- a/dir_000566_000455.html +++ b/dir_000566_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-mocotf/support/include/nnkit/support/moco -> loco Relation +ONE - On-device Neural Engine: compiler/moco/support/include/moco -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    moco → loco Relation

    File in compiler/nnkit-mocotf/support/include/nnkit/support/mocoIncludes file in compiler/loco
    tf / Backend.hinclude / loco / IR / Graph.h
    +

    moco → loco Relation

    File in compiler/moco/support/include/mocoIncludes file in compiler/loco
    Support / NodeAs.hinclude / loco.h
    Support / TFShapeInferenceHelper.hinclude / loco.h
    Support / TFShapeInferenceHelper.hinclude / loco / IR / NodeShape.h
    Support / TFShapeInferenceHelper.hinclude / loco / IR / Padding2D.h
    Support / TFShapeInferenceHelper.hinclude / loco / IR / Stride.h
    Support / TFShapeInferenceHelper.hinclude / loco / IR / Window.h
    diff --git a/dir_000567_000455.html b/dir_000567_000455.html index 13f5eaa94bb..d46f4864017 100644 --- a/dir_000567_000455.html +++ b/dir_000567_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/oneco/include/moco -> loco Relation +ONE - On-device Neural Engine: compiler/nnkit-mocotf/support/include/nnkit/support/moco -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    moco → loco Relation

    File in compiler/oneco/include/mocoIncludes file in compiler/loco
    onnx / Frontend.hinclude / loco.h
    +

    moco → loco Relation

    File in compiler/nnkit-mocotf/support/include/nnkit/support/mocoIncludes file in compiler/loco
    tf / Backend.hinclude / loco / IR / Graph.h
    diff --git a/dir_000566_000459.html b/dir_000567_000459.html similarity index 100% rename from dir_000566_000459.html rename to dir_000567_000459.html diff --git a/dir_000566_000614.html b/dir_000567_000615.html similarity index 100% rename from dir_000566_000614.html rename to dir_000567_000615.html diff --git a/dir_000566_001002.html b/dir_000567_001004.html similarity index 100% rename from dir_000566_001002.html rename to dir_000567_001004.html diff --git a/dir_000559_000455.html b/dir_000568_000455.html similarity index 83% rename from dir_000559_000455.html rename to dir_000568_000455.html index 7038e3475d8..13f5eaa94bb 100644 --- a/dir_000559_000455.html +++ b/dir_000568_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco-tf/include/moco -> loco Relation +ONE - On-device Neural Engine: compiler/oneco/include/moco -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    moco → loco Relation

    File in compiler/moco-tf/include/mocoIncludes file in compiler/loco
    tf / Frontend.hinclude / loco.h
    +

    moco → loco Relation

    File in compiler/oneco/include/mocoIncludes file in compiler/loco
    onnx / Frontend.hinclude / loco.h
    diff --git a/dir_000568_000270.html b/dir_000569_000270.html similarity index 100% rename from dir_000568_000270.html rename to dir_000569_000270.html diff --git a/dir_000568_000272.html b/dir_000569_000272.html similarity index 100% rename from dir_000568_000272.html rename to dir_000569_000272.html diff --git a/dir_000569_000059.html b/dir_000570_000059.html similarity index 100% rename from dir_000569_000059.html rename to dir_000570_000059.html diff --git a/dir_000569_000239.html b/dir_000570_000239.html similarity index 100% rename from dir_000569_000239.html rename to dir_000570_000239.html diff --git a/dir_000569_000455.html b/dir_000570_000455.html similarity index 100% rename from dir_000569_000455.html rename to dir_000570_000455.html diff --git a/dir_000569_000458.html b/dir_000570_000458.html similarity index 100% rename from dir_000569_000458.html rename to dir_000570_000458.html diff --git a/dir_000569_000461.html b/dir_000570_000461.html similarity index 100% rename from dir_000569_000461.html rename to dir_000570_000461.html diff --git a/dir_000569_000476.html b/dir_000570_000476.html similarity index 100% rename from dir_000569_000476.html rename to dir_000570_000476.html diff --git a/dir_000569_000478.html b/dir_000570_000478.html similarity index 100% rename from dir_000569_000478.html rename to dir_000570_000478.html diff --git a/dir_000569_000479.html b/dir_000570_000479.html similarity index 100% rename from dir_000569_000479.html rename to dir_000570_000479.html diff --git a/dir_000569_000560.html b/dir_000570_000561.html similarity index 100% rename from dir_000569_000560.html rename to dir_000570_000561.html diff --git a/dir_000569_000568.html b/dir_000570_000569.html similarity index 100% rename from dir_000569_000568.html rename to dir_000570_000569.html diff --git a/dir_000569_000656.html b/dir_000570_000657.html similarity index 100% rename from dir_000569_000656.html rename to dir_000570_000657.html diff --git a/dir_000569_000733.html b/dir_000570_000734.html similarity index 100% rename from dir_000569_000733.html rename to dir_000570_000734.html diff --git a/dir_000569_000734.html b/dir_000570_000735.html similarity index 100% rename from dir_000569_000734.html rename to dir_000570_000735.html diff --git a/dir_000569_000738.html b/dir_000570_000739.html similarity index 100% rename from dir_000569_000738.html rename to dir_000570_000739.html diff --git a/dir_000570_000027.html b/dir_000571_000027.html similarity index 100% rename from dir_000570_000027.html rename to dir_000571_000027.html diff --git a/dir_000572_000027.html b/dir_000572_000027.html deleted file mode 100644 index 0bb50f1b2e9..00000000000 --- a/dir_000572_000027.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/morph -> angkor Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    morph → angkor Relation

    File in compiler/morphIncludes file in compiler/angkor
    include / morph / caffe.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / caffe.hinclude / nncc / core / ADT / feature / Shape.h
    include / morph / caffe.hinclude / nncc / core / ADT / kernel / Shape.h
    include / morph / dims.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / nnapi.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / nnapi.hinclude / nncc / core / ADT / feature / Shape.h
    include / morph / nnapi.hinclude / nncc / core / ADT / kernel / Shape.h
    include / morph / tflite.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / tflite.hinclude / nncc / core / ADT / feature / Shape.h
    include / morph / tflite.hinclude / nncc / core / ADT / kernel / Shape.h
    -
    - - - - diff --git a/dir_000573_000027.html b/dir_000573_000027.html index b7bfa093d2a..0bb50f1b2e9 100644 --- a/dir_000573_000027.html +++ b/dir_000573_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/morph/include/morph -> angkor Relation +ONE - On-device Neural Engine: compiler/morph -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    morph → angkor Relation

    File in compiler/morph/include/morphIncludes file in compiler/angkor
    caffe.hinclude / nncc / core / ADT / tensor / Shape.h
    caffe.hinclude / nncc / core / ADT / feature / Shape.h
    caffe.hinclude / nncc / core / ADT / kernel / Shape.h
    dims.hinclude / nncc / core / ADT / tensor / Shape.h
    nnapi.hinclude / nncc / core / ADT / tensor / Shape.h
    nnapi.hinclude / nncc / core / ADT / feature / Shape.h
    nnapi.hinclude / nncc / core / ADT / kernel / Shape.h
    tflite.hinclude / nncc / core / ADT / tensor / Shape.h
    tflite.hinclude / nncc / core / ADT / feature / Shape.h
    tflite.hinclude / nncc / core / ADT / kernel / Shape.h
    +

    morph → angkor Relation

    File in compiler/morphIncludes file in compiler/angkor
    include / morph / caffe.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / caffe.hinclude / nncc / core / ADT / feature / Shape.h
    include / morph / caffe.hinclude / nncc / core / ADT / kernel / Shape.h
    include / morph / dims.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / nnapi.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / nnapi.hinclude / nncc / core / ADT / feature / Shape.h
    include / morph / nnapi.hinclude / nncc / core / ADT / kernel / Shape.h
    include / morph / tflite.hinclude / nncc / core / ADT / tensor / Shape.h
    include / morph / tflite.hinclude / nncc / core / ADT / feature / Shape.h
    include / morph / tflite.hinclude / nncc / core / ADT / kernel / Shape.h
    diff --git a/dir_000574_000027.html b/dir_000574_000027.html new file mode 100644 index 00000000000..b7bfa093d2a --- /dev/null +++ b/dir_000574_000027.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/morph/include/morph -> angkor Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    morph → angkor Relation

    File in compiler/morph/include/morphIncludes file in compiler/angkor
    caffe.hinclude / nncc / core / ADT / tensor / Shape.h
    caffe.hinclude / nncc / core / ADT / feature / Shape.h
    caffe.hinclude / nncc / core / ADT / kernel / Shape.h
    dims.hinclude / nncc / core / ADT / tensor / Shape.h
    nnapi.hinclude / nncc / core / ADT / tensor / Shape.h
    nnapi.hinclude / nncc / core / ADT / feature / Shape.h
    nnapi.hinclude / nncc / core / ADT / kernel / Shape.h
    tflite.hinclude / nncc / core / ADT / tensor / Shape.h
    tflite.hinclude / nncc / core / ADT / feature / Shape.h
    tflite.hinclude / nncc / core / ADT / kernel / Shape.h
    +
    + + + + diff --git a/dir_000578_000404.html b/dir_000579_000404.html similarity index 100% rename from dir_000578_000404.html rename to dir_000579_000404.html diff --git a/dir_000584_000035.html b/dir_000584_000035.html deleted file mode 100644 index 2993e018021..00000000000 --- a/dir_000584_000035.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compute/ARMComputeEx/src/core/NEON -> arm_compute Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - - - - - - diff --git a/dir_000583_000152.html b/dir_000584_000152.html similarity index 100% rename from dir_000583_000152.html rename to dir_000584_000152.html diff --git a/dir_000583_000251.html b/dir_000584_000251.html similarity index 100% rename from dir_000583_000251.html rename to dir_000584_000251.html diff --git a/dir_000585_000035.html b/dir_000585_000035.html index 73bccbb8698..2993e018021 100644 --- a/dir_000585_000035.html +++ b/dir_000585_000035.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compute/ARMComputeEx/src/runtime/NEON -> arm_compute Relation +ONE - On-device Neural Engine: compute/ARMComputeEx/src/core/NEON -> arm_compute Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    NEON → arm_compute Relation

    File in compute/ARMComputeEx/src/runtime/NEONIncludes file in compute/ARMComputeEx/arm_compute
    functions / NEBinaryLogicalOperation.cppruntime / NEON / functions / NEBinaryLogicalOperation.h
    functions / NEBinaryLogicalOperation.cppcore / NEON / kernels / NEBinaryLogicalOperationKernel.h
    functions / NECastBool.cppruntime / NEON / functions / NECastBool.h
    functions / NECastBool.cppcore / NEON / kernels / NECastBoolKernel.h
    functions / NEEmbeddingLookup.cppruntime / NEON / functions / NEEmbeddingLookup.h
    functions / NEEmbeddingLookup.cppcore / NEON / kernels / NEEmbeddingLookupKernel.h
    functions / NEFullyConnectedHybridLayer.cppruntime / NEON / functions / NEFullyConnectedHybridLayer.h
    functions / NEFullyConnectedLayerEx.cppruntime / NEON / functions / NEFullyConnectedLayerEx.h
    functions / NEFullyConnectedReshapingLayer.cppruntime / NEON / functions / NEFullyConnectedHybridLayer.h
    functions / NEFullyConnectedReshapingLayer.cppruntime / NEON / functions / NEFullyConnectedLayerEx.h
    functions / NEFullyConnectedReshapingLayer.cppruntime / NEON / functions / NEFullyConnectedReshapingLayer.h
    NEFunctionsEx.cppruntime / NEON / NEFunctionsEx.h
    functions / NEGatherEx.cppruntime / NEON / functions / NEGatherEx.h
    functions / NEGatherEx.cppcore / NEON / kernels / NEGatherKernelEx.h
    functions / NEHashtableLookup.cppruntime / NEON / functions / NEHashtableLookup.h
    functions / NEHashtableLookup.cppcore / NEON / kernels / NEHashtableLookupKernel.h
    functions / NEInstanceNormalizationLayerEx.cppruntime / NEON / functions / NEInstanceNormalizationLayerEx.h
    functions / NEOneHot.cppruntime / NEON / functions / NEOneHot.h
    functions / NEOneHot.cppcore / NEON / kernels / NEOneHotKernel.h
    functions / NEReduceOperation.cppruntime / NEON / functions / NEReduceOperation.h
    functions / NEReduceSum.cppruntime / NEON / functions / NEReduceSum.h
    functions / NETransposeConvLayer.cppruntime / NEON / functions / NETransposeConvLayer.h
    functions / NETransposeConvLayer.cppcore / utils / misc / ShapeCalculatorEx.h
    functions / NETransposeConvLayer.cppcore / UtilsEx.h
    +

    NEON → arm_compute Relation

    File in compute/ARMComputeEx/src/core/NEONIncludes file in compute/ARMComputeEx/arm_compute
    kernels / NEBinaryLogicalOperationKernel.cppcore / NEON / kernels / NEBinaryLogicalOperationKernel.h
    kernels / NEBinaryLogicalOperationKernel.cppcore / NEON / NEElementwiseOperationFuncs.h
    kernels / NECastBoolKernel.cppcore / NEON / kernels / NECastBoolKernel.h
    NEElementwiseOperationFuncs.cppcore / NEON / NEElementwiseOperationFuncs.h
    kernels / NEEmbeddingLookupKernel.cppcore / NEON / kernels / NEEmbeddingLookupKernel.h
    kernels / NEGatherKernelEx.cppcore / NEON / kernels / NEGatherKernelEx.h
    kernels / NEGatherKernelEx.cppcore / utils / misc / ShapeCalculatorEx.h
    kernels / NEGEMMMatrixAccumulateBiasesKernel.cppcore / NEON / kernels / NEGEMMMatrixAccumulateBiasesKernel.h
    kernels / NEHashtableLookupKernel.cppcore / NEON / kernels / NEHashtableLookupKernel.h
    kernels / NEInstanceNormalizationLayerKernelEx.cppcore / NEON / kernels / NEInstanceNormalizationLayerKernelEx.h
    kernels / NEMultiplyScaleFactorKernel.cppcore / NEON / kernels / NEMuliplyScaleFactorKernel.h
    kernels / NEOneHotKernel.cppcore / NEON / kernels / NEOneHotKernel.h
    kernels / NEOneHotKernel.cppcore / utils / misc / ShapeCalculatorEx.h
    kernels / NEQuantizationSymmetricKernel.cppcore / NEON / kernels / NEQuantizationSymmetricKernel.h
    diff --git a/dir_000586_000035.html b/dir_000586_000035.html new file mode 100644 index 00000000000..73bccbb8698 --- /dev/null +++ b/dir_000586_000035.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compute/ARMComputeEx/src/runtime/NEON -> arm_compute Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
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    No Matches
    +
    +
    +
    +
    + +
    +

    NEON → arm_compute Relation

    File in compute/ARMComputeEx/src/runtime/NEONIncludes file in compute/ARMComputeEx/arm_compute
    functions / NEBinaryLogicalOperation.cppruntime / NEON / functions / NEBinaryLogicalOperation.h
    functions / NEBinaryLogicalOperation.cppcore / NEON / kernels / NEBinaryLogicalOperationKernel.h
    functions / NECastBool.cppruntime / NEON / functions / NECastBool.h
    functions / NECastBool.cppcore / NEON / kernels / NECastBoolKernel.h
    functions / NEEmbeddingLookup.cppruntime / NEON / functions / NEEmbeddingLookup.h
    functions / NEEmbeddingLookup.cppcore / NEON / kernels / NEEmbeddingLookupKernel.h
    functions / NEFullyConnectedHybridLayer.cppruntime / NEON / functions / NEFullyConnectedHybridLayer.h
    functions / NEFullyConnectedLayerEx.cppruntime / NEON / functions / NEFullyConnectedLayerEx.h
    functions / NEFullyConnectedReshapingLayer.cppruntime / NEON / functions / NEFullyConnectedHybridLayer.h
    functions / NEFullyConnectedReshapingLayer.cppruntime / NEON / functions / NEFullyConnectedLayerEx.h
    functions / NEFullyConnectedReshapingLayer.cppruntime / NEON / functions / NEFullyConnectedReshapingLayer.h
    NEFunctionsEx.cppruntime / NEON / NEFunctionsEx.h
    functions / NEGatherEx.cppruntime / NEON / functions / NEGatherEx.h
    functions / NEGatherEx.cppcore / NEON / kernels / NEGatherKernelEx.h
    functions / NEHashtableLookup.cppruntime / NEON / functions / NEHashtableLookup.h
    functions / NEHashtableLookup.cppcore / NEON / kernels / NEHashtableLookupKernel.h
    functions / NEInstanceNormalizationLayerEx.cppruntime / NEON / functions / NEInstanceNormalizationLayerEx.h
    functions / NEOneHot.cppruntime / NEON / functions / NEOneHot.h
    functions / NEOneHot.cppcore / NEON / kernels / NEOneHotKernel.h
    functions / NEReduceOperation.cppruntime / NEON / functions / NEReduceOperation.h
    functions / NEReduceSum.cppruntime / NEON / functions / NEReduceSum.h
    functions / NETransposeConvLayer.cppruntime / NEON / functions / NETransposeConvLayer.h
    functions / NETransposeConvLayer.cppcore / utils / misc / ShapeCalculatorEx.h
    functions / NETransposeConvLayer.cppcore / UtilsEx.h
    +
    + + + + diff --git a/dir_000589_000229.html b/dir_000590_000229.html similarity index 100% rename from dir_000589_000229.html rename to dir_000590_000229.html diff --git a/dir_000589_000959.html b/dir_000590_000961.html similarity index 100% rename from dir_000589_000959.html rename to dir_000590_000961.html diff --git a/dir_000590_000404.html b/dir_000591_000404.html similarity index 100% rename from dir_000590_000404.html rename to dir_000591_000404.html diff --git a/dir_000593_000595.html b/dir_000594_000596.html similarity index 100% rename from dir_000593_000595.html rename to dir_000594_000596.html diff --git a/dir_000594_000121.html b/dir_000595_000121.html similarity index 100% rename from dir_000594_000121.html rename to dir_000595_000121.html diff --git a/dir_000594_000159.html b/dir_000595_000159.html similarity index 100% rename from dir_000594_000159.html rename to dir_000595_000159.html diff --git a/dir_000594_000595.html b/dir_000595_000596.html similarity index 100% rename from dir_000594_000595.html rename to dir_000595_000596.html diff --git a/dir_000594_001064.html b/dir_000595_001066.html similarity index 74% rename from dir_000594_001064.html rename to dir_000595_001066.html index 43cab667b3b..d42bde2a0dd 100644 --- a/dir_000594_001064.html +++ b/dir_000595_001066.html @@ -89,7 +89,7 @@ +

    nnapi → wrapper Relation

    File in runtime/onert/api/nnapiIncludes file in runtime/onert/api/nnapi/wrapper
    compilation.ccANeuralNetworksCompilation.h
    compilation.ccANeuralNetworksModel.h
    event.ccANeuralNetworksEvent.h
    execution.ccANeuralNetworksCompilation.h
    execution.ccANeuralNetworksEvent.h
    execution.ccANeuralNetworksExecution.h
    execution.ccANeuralNetworksMemory.h
    execution.ccNNAPIConvert.h
    memory.ccANeuralNetworksMemory.h
    model.ccANeuralNetworksMemory.h
    model.ccANeuralNetworksModel.h
    @@ -89,12 +89,12 @@
    -

    nnkit → angkor Relation

    File in compiler/nnkit-tf/support/include/nnkitIncludes file in compiler/angkor
    support / tf / Runner.hinclude / angkor / TensorShape.h
    +

    nnkit → angkor Relation

    File in compiler/nnkit-onnxrt/support/include/nnkitIncludes file in compiler/angkor
    support / onnx / TensorContext.hinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / onnx / TensorContext.hinclude / nncc / core / ADT / tensor / Overlay.h
    diff --git a/dir_000607_000614.html b/dir_000608_000615.html similarity index 100% rename from dir_000607_000614.html rename to dir_000608_000615.html diff --git a/dir_000609_000027.html b/dir_000609_000027.html index dcd865bdb7c..c4fad55364d 100644 --- a/dir_000609_000027.html +++ b/dir_000609_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-tflite/support/include/nnkit -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-tf/support/include/nnkit -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnkit → angkor Relation

    File in compiler/nnkit-tflite/support/include/nnkitIncludes file in compiler/angkor
    support / tflite / TensorUtils.hinclude / nncc / core / ADT / tensor / Shape.h
    +

    nnkit → angkor Relation

    File in compiler/nnkit-tf/support/include/nnkitIncludes file in compiler/angkor
    support / tf / Runner.hinclude / angkor / TensorShape.h
    diff --git a/dir_000608_000614.html b/dir_000609_000615.html similarity index 100% rename from dir_000608_000614.html rename to dir_000609_000615.html diff --git a/dir_000608_001002.html b/dir_000609_001004.html similarity index 100% rename from dir_000608_001002.html rename to dir_000609_001004.html diff --git a/dir_000610_000027.html b/dir_000610_000027.html index 325e0db6735..dcd865bdb7c 100644 --- a/dir_000610_000027.html +++ b/dir_000610_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-tflite/support/include/nnkit -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnkit → angkor Relation

    File in compiler/nnkitIncludes file in compiler/angkor
    actions / HDF5 / Export.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    actions / HDF5 / Export.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    actions / HDF5 / Import.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    actions / HDF5 / Import.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    actions / builtin / Randomize.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    actions / builtin / Show.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    +

    nnkit → angkor Relation

    File in compiler/nnkit-tflite/support/include/nnkitIncludes file in compiler/angkor
    support / tflite / TensorUtils.hinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_000610_000615.html b/dir_000610_000615.html index d50da5e6545..8b9d7754d60 100644 --- a/dir_000610_000615.html +++ b/dir_000610_000615.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit -> nnkit-misc Relation +ONE - On-device Neural Engine: compiler/nnkit-tflite/support/include/nnkit -> nnkit-intf Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnkit → nnkit-misc Relation

    File in compiler/nnkitIncludes file in compiler/nnkit-misc
    tools / run / nnkit-run.cppcmdline / include / nnkit / VectorArguments.h
    tools / run / nnkit-run.cppbackend / include / nnkit / BackendPlugin.h
    tools / benchmark / src / Benchmark.cppcmdline / include / nnkit / VectorArguments.h
    tools / benchmark / src / Benchmark.cppbackend / include / nnkit / BackendPlugin.h
    +

    nnkit → nnkit-intf Relation

    File in compiler/nnkit-tflite/support/include/nnkitIncludes file in compiler/nnkit-intf
    support / tflite / AbstractBackend.hbackend / include / nnkit / Backend.h
    support / tflite / TensorContext.htensor / include / nnkit / TensorContext.h
    diff --git a/dir_000611_000027.html b/dir_000611_000027.html index 6e4f7c92472..325e0db6735 100644 --- a/dir_000611_000027.html +++ b/dir_000611_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tfinfo/include/nnkit -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnkit → angkor Relation

    File in compiler/tfinfo/include/nnkitIncludes file in compiler/angkor
    support / tftestinfo / ParsedTensor.hinclude / nncc / core / ADT / tensor / Shape.h
    +

    nnkit → angkor Relation

    File in compiler/nnkitIncludes file in compiler/angkor
    actions / HDF5 / Export.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    actions / HDF5 / Export.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    actions / HDF5 / Import.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    actions / HDF5 / Import.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    actions / builtin / Randomize.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    actions / builtin / Show.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    diff --git a/dir_000610_000614.html b/dir_000611_000615.html similarity index 100% rename from dir_000610_000614.html rename to dir_000611_000615.html diff --git a/dir_000611_000616.html b/dir_000611_000616.html new file mode 100644 index 00000000000..d50da5e6545 --- /dev/null +++ b/dir_000611_000616.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/nnkit -> nnkit-misc Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    nnkit → nnkit-misc Relation

    File in compiler/nnkitIncludes file in compiler/nnkit-misc
    tools / run / nnkit-run.cppcmdline / include / nnkit / VectorArguments.h
    tools / run / nnkit-run.cppbackend / include / nnkit / BackendPlugin.h
    tools / benchmark / src / Benchmark.cppcmdline / include / nnkit / VectorArguments.h
    tools / benchmark / src / Benchmark.cppbackend / include / nnkit / BackendPlugin.h
    +
    + + + + diff --git a/dir_000612_000027.html b/dir_000612_000027.html index 86407567f75..6e4f7c92472 100644 --- a/dir_000612_000027.html +++ b/dir_000612_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-caffe -> angkor Relation +ONE - On-device Neural Engine: compiler/tfinfo/include/nnkit -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnkit-caffe → angkor Relation

    File in compiler/nnkit-caffeIncludes file in compiler/angkor
    support / include / nnkit / support / caffe / TensorContext.hinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / include / nnkit / support / caffe / TensorContext.hinclude / nncc / core / ADT / tensor / Overlay.h
    +

    nnkit → angkor Relation

    File in compiler/tfinfo/include/nnkitIncludes file in compiler/angkor
    support / tftestinfo / ParsedTensor.hinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_000611_000656.html b/dir_000612_000657.html similarity index 100% rename from dir_000611_000656.html rename to dir_000612_000657.html diff --git a/dir_000613_000027.html b/dir_000613_000027.html index 4c30c0e6387..86407567f75 100644 --- a/dir_000613_000027.html +++ b/dir_000613_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnsuite/conv/nnkit-caffe -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-caffe -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnkit-caffe → angkor Relation

    File in compiler/nnsuite/conv/nnkit-caffeIncludes file in compiler/angkor
    ConvBackend.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    ConvBackend.cppinclude / nncc / core / ADT / kernel / Overlay.h
    +

    nnkit-caffe → angkor Relation

    File in compiler/nnkit-caffeIncludes file in compiler/angkor
    support / include / nnkit / support / caffe / TensorContext.hinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / include / nnkit / support / caffe / TensorContext.hinclude / nncc / core / ADT / tensor / Overlay.h
    diff --git a/dir_000612_000614.html b/dir_000613_000615.html similarity index 100% rename from dir_000612_000614.html rename to dir_000613_000615.html diff --git a/dir_000614_000027.html b/dir_000614_000027.html index 7af5442f22e..4c30c0e6387 100644 --- a/dir_000614_000027.html +++ b/dir_000614_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-intf -> angkor Relation +ONE - On-device Neural Engine: compiler/nnsuite/conv/nnkit-caffe -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnkit-intf → angkor Relation

    File in compiler/nnkit-intfIncludes file in compiler/angkor
    tensor / include / nnkit / TensorContext.hinclude / nncc / core / ADT / tensor / Accessor.h
    tensor / include / nnkit / TensorContext.hinclude / nncc / core / ADT / tensor / Reader.h
    tensor / include / nnkit / TensorContext.hinclude / nncc / core / ADT / tensor / Shape.h
    +

    nnkit-caffe → angkor Relation

    File in compiler/nnsuite/conv/nnkit-caffeIncludes file in compiler/angkor
    ConvBackend.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    ConvBackend.cppinclude / nncc / core / ADT / kernel / Overlay.h
    diff --git a/dir_000613_000570.html b/dir_000614_000571.html similarity index 100% rename from dir_000613_000570.html rename to dir_000614_000571.html diff --git a/dir_000613_000612.html b/dir_000614_000613.html similarity index 100% rename from dir_000613_000612.html rename to dir_000614_000613.html diff --git a/dir_000613_000614.html b/dir_000614_000615.html similarity index 100% rename from dir_000613_000614.html rename to dir_000614_000615.html diff --git a/dir_000744_000442.html b/dir_000615_000027.html similarity index 53% rename from dir_000744_000442.html rename to dir_000615_000027.html index f295ca7e957..7af5442f22e 100644 --- a/dir_000744_000442.html +++ b/dir_000615_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/profile -> lang Relation +ONE - On-device Neural Engine: compiler/nnkit-intf -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    profile → lang Relation

    File in compiler/luci/profileIncludes file in compiler/luci/lang
    include / luci / Profile / CircleNodeID.hinclude / luci / IR / CircleNode.h
    include / luci / Profile / CircleNodeOrigin.hinclude / luci / IR / CircleNode.h
    +

    nnkit-intf → angkor Relation

    File in compiler/nnkit-intfIncludes file in compiler/angkor
    tensor / include / nnkit / TensorContext.hinclude / nncc / core / ADT / tensor / Accessor.h
    tensor / include / nnkit / TensorContext.hinclude / nncc / core / ADT / tensor / Reader.h
    tensor / include / nnkit / TensorContext.hinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_000616_000027.html b/dir_000616_000027.html deleted file mode 100644 index 3944af153f7..00000000000 --- a/dir_000616_000027.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/nnkit-mocotf -> angkor Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    nnkit-mocotf → angkor Relation

    File in compiler/nnkit-mocotfIncludes file in compiler/angkor
    support / src / Backend.cppinclude / nncc / core / ADT / tensor / Buffer.h
    support / src / Backend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / src / InputTensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / src / InputTensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    support / src / OutputTensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / src / OutputTensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    support / src / TensorContext.hinclude / nncc / core / ADT / tensor / Shape.h
    -
    - - - - diff --git a/dir_000615_000614.html b/dir_000616_000615.html similarity index 100% rename from dir_000615_000614.html rename to dir_000616_000615.html diff --git a/dir_000617_000027.html b/dir_000617_000027.html index 4ed8202f177..3944af153f7 100644 --- a/dir_000617_000027.html +++ b/dir_000617_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-onnxrt -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-mocotf -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnkit-onnxrt → angkor Relation

    File in compiler/nnkit-onnxrtIncludes file in compiler/angkor
    support / include / nnkit / support / onnx / TensorContext.hinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / include / nnkit / support / onnx / TensorContext.hinclude / nncc / core / ADT / tensor / Overlay.h
    +

    nnkit-mocotf → angkor Relation

    File in compiler/nnkit-mocotfIncludes file in compiler/angkor
    support / src / Backend.cppinclude / nncc / core / ADT / tensor / Buffer.h
    support / src / Backend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / src / InputTensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / src / InputTensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    support / src / OutputTensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / src / OutputTensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    support / src / TensorContext.hinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_000616_000455.html b/dir_000617_000455.html similarity index 100% rename from dir_000616_000455.html rename to dir_000617_000455.html diff --git a/dir_000616_000459.html b/dir_000617_000459.html similarity index 100% rename from dir_000616_000459.html rename to dir_000617_000459.html diff --git a/dir_000616_000560.html b/dir_000617_000561.html similarity index 100% rename from dir_000616_000560.html rename to dir_000617_000561.html diff --git a/dir_000616_000569.html b/dir_000617_000570.html similarity index 100% rename from dir_000616_000569.html rename to dir_000617_000570.html diff --git a/dir_000616_000614.html b/dir_000617_000615.html similarity index 100% rename from dir_000616_000614.html rename to dir_000617_000615.html diff --git a/dir_000616_001002.html b/dir_000617_001004.html similarity index 100% rename from dir_000616_001002.html rename to dir_000617_001004.html diff --git a/dir_000618_000027.html b/dir_000618_000027.html index e1475249d1a..4ed8202f177 100644 --- a/dir_000618_000027.html +++ b/dir_000618_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-tf -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-onnxrt -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnkit-tf → angkor Relation

    File in compiler/nnkit-tfIncludes file in compiler/angkor
    support / src / Backend.cppinclude / angkor / TensorShape.h
    support / src / Runner.cppinclude / nncc / core / ADT / tensor / Shape.h
    support / src / TensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / src / TensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    support / include / nnkit / support / tf / Runner.hinclude / angkor / TensorShape.h
    +

    nnkit-onnxrt → angkor Relation

    File in compiler/nnkit-onnxrtIncludes file in compiler/angkor
    support / include / nnkit / support / onnx / TensorContext.hinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / include / nnkit / support / onnx / TensorContext.hinclude / nncc / core / ADT / tensor / Overlay.h
    diff --git a/dir_000617_000614.html b/dir_000618_000615.html similarity index 100% rename from dir_000617_000614.html rename to dir_000618_000615.html diff --git a/dir_000619_000027.html b/dir_000619_000027.html index 34c1cdabaa4..e1475249d1a 100644 --- a/dir_000619_000027.html +++ b/dir_000619_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-tflite -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-tf -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnkit-tflite → angkor Relation

    File in compiler/nnkit-tfliteIncludes file in compiler/angkor
    support / src / TensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / src / TensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    support / include / nnkit / support / tflite / TensorUtils.hinclude / nncc / core / ADT / tensor / Shape.h
    +

    nnkit-tf → angkor Relation

    File in compiler/nnkit-tfIncludes file in compiler/angkor
    support / src / Backend.cppinclude / angkor / TensorShape.h
    support / src / Runner.cppinclude / nncc / core / ADT / tensor / Shape.h
    support / src / TensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / src / TensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    support / include / nnkit / support / tf / Runner.hinclude / angkor / TensorShape.h
    diff --git a/dir_000618_000614.html b/dir_000619_000615.html similarity index 100% rename from dir_000618_000614.html rename to dir_000619_000615.html diff --git a/dir_000618_001002.html b/dir_000619_001004.html similarity index 100% rename from dir_000618_001002.html rename to dir_000619_001004.html diff --git a/dir_000620_000027.html b/dir_000620_000027.html index 15d7a2967a0..34c1cdabaa4 100644 --- a/dir_000620_000027.html +++ b/dir_000620_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnsuite/conv/nnkit-tflite -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-tflite -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnkit-tflite → angkor Relation

    File in compiler/nnsuite/conv/nnkit-tfliteIncludes file in compiler/angkor
    ConvBackend.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    ConvBackend.cppinclude / nncc / core / ADT / kernel / Overlay.h
    +

    nnkit-tflite → angkor Relation

    File in compiler/nnkit-tfliteIncludes file in compiler/angkor
    support / src / TensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / src / TensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    support / include / nnkit / support / tflite / TensorUtils.hinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_000619_000614.html b/dir_000620_000615.html similarity index 100% rename from dir_000619_000614.html rename to dir_000620_000615.html diff --git a/dir_000621_000027.html b/dir_000621_000027.html index beaf4739434..15d7a2967a0 100644 --- a/dir_000621_000027.html +++ b/dir_000621_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnop -> angkor Relation +ONE - On-device Neural Engine: compiler/nnsuite/conv/nnkit-tflite -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnop → angkor Relation

    File in compiler/nnopIncludes file in compiler/angkor
    include / nnop / Conv2D.hinclude / nncc / core / ADT / feature / Shape.h
    include / nnop / Conv2D.hinclude / nncc / core / ADT / feature / Reader.h
    include / nnop / Conv2D.hinclude / nncc / core / ADT / feature / Accessor.h
    include / nnop / Conv2D.hinclude / nncc / core / ADT / kernel / Shape.h
    include / nnop / Conv2D.hinclude / nncc / core / ADT / kernel / Reader.h
    +

    nnkit-tflite → angkor Relation

    File in compiler/nnsuite/conv/nnkit-tfliteIncludes file in compiler/angkor
    ConvBackend.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    ConvBackend.cppinclude / nncc / core / ADT / kernel / Overlay.h
    diff --git a/dir_000620_000570.html b/dir_000621_000571.html similarity index 100% rename from dir_000620_000570.html rename to dir_000621_000571.html diff --git a/dir_000620_000614.html b/dir_000621_000615.html similarity index 100% rename from dir_000620_000614.html rename to dir_000621_000615.html diff --git a/dir_000620_000619.html b/dir_000621_000620.html similarity index 100% rename from dir_000620_000619.html rename to dir_000621_000620.html diff --git a/dir_000622_000027.html b/dir_000622_000027.html index 0c801a69e40..beaf4739434 100644 --- a/dir_000622_000027.html +++ b/dir_000622_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnop/include/nnop -> angkor Relation +ONE - On-device Neural Engine: compiler/nnop -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnop → angkor Relation

    File in compiler/nnop/include/nnopIncludes file in compiler/angkor
    Conv2D.hinclude / nncc / core / ADT / feature / Accessor.h
    Conv2D.hinclude / nncc / core / ADT / feature / Reader.h
    Conv2D.hinclude / nncc / core / ADT / kernel / Reader.h
    Conv2D.hinclude / nncc / core / ADT / feature / Shape.h
    Conv2D.hinclude / nncc / core / ADT / kernel / Shape.h
    +

    nnop → angkor Relation

    File in compiler/nnopIncludes file in compiler/angkor
    include / nnop / Conv2D.hinclude / nncc / core / ADT / feature / Shape.h
    include / nnop / Conv2D.hinclude / nncc / core / ADT / feature / Reader.h
    include / nnop / Conv2D.hinclude / nncc / core / ADT / feature / Accessor.h
    include / nnop / Conv2D.hinclude / nncc / core / ADT / kernel / Shape.h
    include / nnop / Conv2D.hinclude / nncc / core / ADT / kernel / Reader.h
    diff --git a/dir_000623_000027.html b/dir_000623_000027.html index a1d351e7a04..0c801a69e40 100644 --- a/dir_000623_000027.html +++ b/dir_000623_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnsuite -> angkor Relation +ONE - On-device Neural Engine: compiler/nnop/include/nnop -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnsuite → angkor Relation

    File in compiler/nnsuiteIncludes file in compiler/angkor
    conv / nnkit-caffe / ConvBackend.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    conv / nnkit-tflite / ConvBackend.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    conv / nnkit-caffe / ConvBackend.cppinclude / nncc / core / ADT / kernel / Overlay.h
    conv / nnkit-tflite / ConvBackend.cppinclude / nncc / core / ADT / kernel / Overlay.h
    conv / model / include / nnsuite / conv / Model.hinclude / nncc / core / ADT / kernel / Reader.h
    conv / model / include / nnsuite / conv / Model.hinclude / nncc / core / ADT / feature / Shape.h
    conv / model / include / nnsuite / conv / Model.hinclude / nncc / core / ADT / kernel / Shape.h
    conv / model / include / nnsuite / conv / RandomModel.hinclude / nncc / core / ADT / kernel / Buffer.h
    conv / model / src / RandomModel.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    +

    nnop → angkor Relation

    File in compiler/nnop/include/nnopIncludes file in compiler/angkor
    Conv2D.hinclude / nncc / core / ADT / feature / Accessor.h
    Conv2D.hinclude / nncc / core / ADT / feature / Reader.h
    Conv2D.hinclude / nncc / core / ADT / kernel / Reader.h
    Conv2D.hinclude / nncc / core / ADT / feature / Shape.h
    Conv2D.hinclude / nncc / core / ADT / kernel / Shape.h
    diff --git a/dir_000624_000027.html b/dir_000624_000027.html index c23ca4dc0f4..a1d351e7a04 100644 --- a/dir_000624_000027.html +++ b/dir_000624_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnsuite/conv/model/include/nnsuite -> angkor Relation +ONE - On-device Neural Engine: compiler/nnsuite -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnsuite → angkor Relation

    File in compiler/nnsuite/conv/model/include/nnsuiteIncludes file in compiler/angkor
    conv / Model.hinclude / nncc / core / ADT / kernel / Reader.h
    conv / Model.hinclude / nncc / core / ADT / feature / Shape.h
    conv / Model.hinclude / nncc / core / ADT / kernel / Shape.h
    conv / RandomModel.hinclude / nncc / core / ADT / kernel / Buffer.h
    +

    nnsuite → angkor Relation

    File in compiler/nnsuiteIncludes file in compiler/angkor
    conv / nnkit-caffe / ConvBackend.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    conv / nnkit-tflite / ConvBackend.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    conv / nnkit-caffe / ConvBackend.cppinclude / nncc / core / ADT / kernel / Overlay.h
    conv / nnkit-tflite / ConvBackend.cppinclude / nncc / core / ADT / kernel / Overlay.h
    conv / model / include / nnsuite / conv / Model.hinclude / nncc / core / ADT / kernel / Reader.h
    conv / model / include / nnsuite / conv / Model.hinclude / nncc / core / ADT / feature / Shape.h
    conv / model / include / nnsuite / conv / Model.hinclude / nncc / core / ADT / kernel / Shape.h
    conv / model / include / nnsuite / conv / RandomModel.hinclude / nncc / core / ADT / kernel / Buffer.h
    conv / model / src / RandomModel.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    diff --git a/dir_000623_000612.html b/dir_000624_000613.html similarity index 100% rename from dir_000623_000612.html rename to dir_000624_000613.html diff --git a/dir_000623_000614.html b/dir_000624_000615.html similarity index 100% rename from dir_000623_000614.html rename to dir_000624_000615.html diff --git a/dir_000623_000619.html b/dir_000624_000620.html similarity index 100% rename from dir_000623_000619.html rename to dir_000624_000620.html diff --git a/dir_000625_000027.html b/dir_000625_000027.html index fe0e526e205..c23ca4dc0f4 100644 --- a/dir_000625_000027.html +++ b/dir_000625_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/locomotiv/src/Node -> angkor Relation +ONE - On-device Neural Engine: compiler/nnsuite/conv/model/include/nnsuite -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Node → angkor Relation

    File in compiler/locomotiv/src/NodeIncludes file in compiler/angkor
    AvgPool2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    AvgPool2D.cppinclude / nncc / core / ADT / tensor / Index.h
    AvgPool2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    AvgPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    BiasAdd.cppinclude / nncc / core / ADT / tensor / Buffer.h
    BiasAdd.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    BiasAdd.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    BiasAdd.cppinclude / nncc / core / ADT / tensor / Shape.h
    ConstGen.cppinclude / nncc / core / ADT / tensor / Buffer.h
    ConstGen.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    ConstGen.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    ConstGen.cppinclude / nncc / core / ADT / tensor / Shape.h
    Conv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Conv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    Conv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Conv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    DepthwiseFilterEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    DepthwiseFilterEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    FeatureDecode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    FeatureDecode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    FeatureEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    FeatureEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    FilterEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    FilterEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    MatMul.cppinclude / nncc / core / ADT / tensor / Buffer.h
    MatMul.cppinclude / nncc / core / ADT / tensor / Index.h
    MatMul.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    MatMul.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    MatMul.cppinclude / nncc / core / ADT / tensor / Shape.h
    MatrixDecode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    MatrixDecode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    MatrixEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    MatrixEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    MaxPool2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    MaxPool2D.cppinclude / nncc / core / ADT / tensor / Index.h
    MaxPool2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    MaxPool2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Reshape.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Reshape.cppinclude / nncc / core / ADT / tensor / Index.h
    Reshape.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Reshape.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    Softmax.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Softmax.cppinclude / nncc / core / ADT / tensor / Index.h
    Softmax.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Softmax.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Softmax.cppinclude / nncc / core / ADT / tensor / Shape.h
    TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Buffer.h
    TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Index.h
    TensorBroadcast.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    TensorBroadcast.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Shape.h
    TensorConcat.cppinclude / nncc / core / ADT / tensor / Buffer.h
    TensorConcat.cppinclude / nncc / core / ADT / tensor / Index.h
    TensorConcat.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    TensorConcat.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TensorConcat.cppinclude / nncc / core / ADT / tensor / Shape.h
    TensorConstantPad.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    TensorConstantPad.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TensorReduce.cppinclude / nncc / core / ADT / tensor / Buffer.h
    TensorReduce.cppinclude / nncc / core / ADT / tensor / Index.h
    TensorReduce.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    TensorReduce.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TensorReduce.cppinclude / nncc / core / ADT / tensor / Shape.h
    TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    TransposedConv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    TransposedConv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    +

    nnsuite → angkor Relation

    File in compiler/nnsuite/conv/model/include/nnsuiteIncludes file in compiler/angkor
    conv / Model.hinclude / nncc / core / ADT / kernel / Reader.h
    conv / Model.hinclude / nncc / core / ADT / feature / Shape.h
    conv / Model.hinclude / nncc / core / ADT / kernel / Shape.h
    conv / RandomModel.hinclude / nncc / core / ADT / kernel / Buffer.h
    diff --git a/dir_000626_000027.html b/dir_000626_000027.html new file mode 100644 index 00000000000..c603b739ff3 --- /dev/null +++ b/dir_000626_000027.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/locomotiv/src/Node -> angkor Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    Node → angkor Relation

    File in compiler/locomotiv/src/NodeIncludes file in compiler/angkor
    AvgPool2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    AvgPool2D.cppinclude / nncc / core / ADT / tensor / Index.h
    AvgPool2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    AvgPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    BiasAdd.cppinclude / nncc / core / ADT / tensor / Buffer.h
    BiasAdd.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    BiasAdd.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    BiasAdd.cppinclude / nncc / core / ADT / tensor / Shape.h
    ConstGen.cppinclude / nncc / core / ADT / tensor / Buffer.h
    ConstGen.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    ConstGen.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    ConstGen.cppinclude / nncc / core / ADT / tensor / Shape.h
    Conv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Conv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    Conv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Conv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    DepthwiseFilterEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    DepthwiseFilterEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    FeatureDecode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    FeatureDecode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    FeatureEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    FeatureEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    FilterEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    FilterEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    MatMul.cppinclude / nncc / core / ADT / tensor / Buffer.h
    MatMul.cppinclude / nncc / core / ADT / tensor / Index.h
    MatMul.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    MatMul.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    MatMul.cppinclude / nncc / core / ADT / tensor / Shape.h
    MatrixDecode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    MatrixDecode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    MatrixEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    MatrixEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    MaxPool2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    MaxPool2D.cppinclude / nncc / core / ADT / tensor / Index.h
    MaxPool2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    MaxPool2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Reshape.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Reshape.cppinclude / nncc / core / ADT / tensor / Index.h
    Reshape.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Reshape.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    Softmax.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Softmax.cppinclude / nncc / core / ADT / tensor / Index.h
    Softmax.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Softmax.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Softmax.cppinclude / nncc / core / ADT / tensor / Shape.h
    TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Buffer.h
    TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Index.h
    TensorBroadcast.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    TensorBroadcast.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Shape.h
    TensorConcat.cppinclude / nncc / core / ADT / tensor / Buffer.h
    TensorConcat.cppinclude / nncc / core / ADT / tensor / Index.h
    TensorConcat.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    TensorConcat.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TensorConcat.cppinclude / nncc / core / ADT / tensor / Shape.h
    TensorConstantPad.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    TensorConstantPad.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TensorReduce.cppinclude / nncc / core / ADT / tensor / Buffer.h
    TensorReduce.cppinclude / nncc / core / ADT / tensor / Index.h
    TensorReduce.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    TensorReduce.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TensorReduce.cppinclude / nncc / core / ADT / tensor / Shape.h
    TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    TransposedConv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    TransposedConv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    +
    + + + + diff --git a/dir_000627_000431.html b/dir_000627_000431.html deleted file mode 100644 index 22f2ff787f6..00000000000 --- a/dir_000627_000431.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/luci-interpreter/src/loader/nodes -> kernels Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    nodes → kernels Relation

    File in compiler/luci-interpreter/src/loader/nodesIncludes file in compiler/luci-interpreter/src/kernels
    Abs.cppAbs.h
    Add.cppAdd.h
    ArgMax.cppArgMax.h
    AveragePool2D.cppAveragePool2D.h
    BatchToSpaceND.cppBatchToSpaceND.h
    BroadcastTo.cppBroadcastTo.h
    Cast.cppCast.h
    Concatenation.cppConcatenation.h
    Conv2D.cppConv2D.h
    Cos.cppCos.h
    CumSum.cppCumSum.h
    DepthToSpace.cppDepthToSpace.h
    DepthwiseConv2D.cppDepthwiseConv2D.h
    Dequantize.cppDequantize.h
    Div.cppDiv.h
    Elu.cppElu.h
    Equal.cppEqual.h
    Exp.cppExp.h
    ExpandDims.cppExpandDims.h
    Fill.cppFill.h
    Floor.cppFloor.h
    FloorDiv.cppFloorDiv.h
    FloorMod.cppFloorMod.h
    FullyConnected.cppFullyConnected.h
    Gather.cppGather.h
    Gelu.cppGelu.h
    Greater.cppGreater.h
    GreaterEqual.cppGreaterEqual.h
    HardSwish.cppHardSwish.h
    If.cppIf.h
    L2Normalize.cppL2Normalize.h
    L2Pool2D.cppL2Pool2D.h
    LeakyRelu.cppLeakyRelu.h
    Less.cppLess.h
    LessEqual.cppLessEqual.h
    Log.cppLog.h
    LogicalAnd.cppLogicalAnd.h
    LogicalNot.cppLogicalNot.h
    LogicalOr.cppLogicalOr.h
    Logistic.cppLogistic.h
    LogSoftmax.cppLogSoftmax.h
    Maximum.cppMaximum.h
    MaxPool2D.cppMaxPool2D.h
    Mean.cppMean.h
    Minimum.cppMinimum.h
    MirrorPad.cppMirrorPad.h
    Mul.cppMul.h
    Neg.cppNeg.h
    NotEqual.cppNotEqual.h
    Pack.cppPack.h
    Pad.cppPad.h
    PadV2.cppPadV2.h
    PRelu.cppPRelu.h
    Quantize.cppQuantize.h
    ReduceMax.cppReduceMax.h
    ReduceProd.cppReduceProd.h
    Relu.cppRelu.h
    Relu6.cppRelu6.h
    Reshape.cppReshape.h
    ResizeBilinear.cppResizeBilinear.h
    ResizeNearestNeighbor.cppResizeNearestNeighbor.h
    Rsqrt.cppRsqrt.h
    Select.cppSelect.h
    SelectV2.cppSelectV2.h
    Shape.cppShape.h
    Sin.cppSin.h
    Slice.cppSlice.h
    Softmax.cppSoftmax.h
    SpaceToBatchND.cppSpaceToBatchND.h
    SpaceToDepth.cppSpaceToDepth.h
    SplitV.cppSplitV.h
    Sqrt.cppSqrt.h
    Square.cppSquare.h
    SquaredDifference.cppSquaredDifference.h
    StridedSlice.cppStridedSlice.h
    Sub.cppSub.h
    Sum.cppSum.h
    SVDF.cppSVDF.h
    Tanh.cppTanh.h
    Tile.cppTile.h
    Transpose.cppTranspose.h
    TransposeConv.cppTransposeConv.h
    Unpack.cppUnpack.h
    While.cppWhile.h
    -
    - - - - diff --git a/dir_000627_000480.html b/dir_000627_000480.html index 86f26bf31cf..aa1a101549b 100644 --- a/dir_000627_000480.html +++ b/dir_000627_000480.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci-interpreter/src/loader/nodes -> luci Relation +ONE - On-device Neural Engine: compiler/luci-interpreter/src/import/Nodes -> luci Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nodes → luci Relation

    File in compiler/luci-interpreter/src/loader/nodesIncludes file in compiler/luci
    AveragePool2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    BatchMatMul.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    Builders.hlang / include / luci / IR / CircleNodes.h
    Conv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    DepthwiseConv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    +

    Nodes → luci Relation

    File in compiler/luci-interpreter/src/import/NodesIncludes file in compiler/luci
    CircleReferencingConst.hlang / include / luci / IR / Nodes / CircleConst.h
    CircleReferencingConst.himport / include / luci / Import / NodeBuilder.h
    diff --git a/dir_000628_000431.html b/dir_000628_000431.html new file mode 100644 index 00000000000..057e86c9ccd --- /dev/null +++ b/dir_000628_000431.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/luci-interpreter/src/loader/nodes -> kernels Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    nodes → kernels Relation

    File in compiler/luci-interpreter/src/loader/nodesIncludes file in compiler/luci-interpreter/src/kernels
    Abs.cppAbs.h
    Add.cppAdd.h
    ArgMax.cppArgMax.h
    AveragePool2D.cppAveragePool2D.h
    BatchToSpaceND.cppBatchToSpaceND.h
    BroadcastTo.cppBroadcastTo.h
    Cast.cppCast.h
    Concatenation.cppConcatenation.h
    Conv2D.cppConv2D.h
    Cos.cppCos.h
    CumSum.cppCumSum.h
    DepthToSpace.cppDepthToSpace.h
    DepthwiseConv2D.cppDepthwiseConv2D.h
    Dequantize.cppDequantize.h
    Div.cppDiv.h
    Elu.cppElu.h
    Equal.cppEqual.h
    Exp.cppExp.h
    ExpandDims.cppExpandDims.h
    Fill.cppFill.h
    Floor.cppFloor.h
    FloorDiv.cppFloorDiv.h
    FloorMod.cppFloorMod.h
    FullyConnected.cppFullyConnected.h
    Gather.cppGather.h
    Gelu.cppGelu.h
    Greater.cppGreater.h
    GreaterEqual.cppGreaterEqual.h
    HardSwish.cppHardSwish.h
    If.cppIf.h
    L2Normalize.cppL2Normalize.h
    L2Pool2D.cppL2Pool2D.h
    LeakyRelu.cppLeakyRelu.h
    Less.cppLess.h
    LessEqual.cppLessEqual.h
    Log.cppLog.h
    LogicalAnd.cppLogicalAnd.h
    LogicalNot.cppLogicalNot.h
    LogicalOr.cppLogicalOr.h
    Logistic.cppLogistic.h
    LogSoftmax.cppLogSoftmax.h
    Maximum.cppMaximum.h
    MaxPool2D.cppMaxPool2D.h
    Mean.cppMean.h
    Minimum.cppMinimum.h
    MirrorPad.cppMirrorPad.h
    Mul.cppMul.h
    Neg.cppNeg.h
    NotEqual.cppNotEqual.h
    Pack.cppPack.h
    Pad.cppPad.h
    PadV2.cppPadV2.h
    PRelu.cppPRelu.h
    Quantize.cppQuantize.h
    ReduceMax.cppReduceMax.h
    ReduceProd.cppReduceProd.h
    Relu.cppRelu.h
    Relu6.cppRelu6.h
    Reshape.cppReshape.h
    ResizeBilinear.cppResizeBilinear.h
    ResizeNearestNeighbor.cppResizeNearestNeighbor.h
    Rsqrt.cppRsqrt.h
    Select.cppSelect.h
    SelectV2.cppSelectV2.h
    Shape.cppShape.h
    Sin.cppSin.h
    Slice.cppSlice.h
    Softmax.cppSoftmax.h
    SpaceToBatchND.cppSpaceToBatchND.h
    SpaceToDepth.cppSpaceToDepth.h
    SplitV.cppSplitV.h
    Sqrt.cppSqrt.h
    Square.cppSquare.h
    SquaredDifference.cppSquaredDifference.h
    StridedSlice.cppStridedSlice.h
    Sub.cppSub.h
    Sum.cppSum.h
    SVDF.cppSVDF.h
    Tanh.cppTanh.h
    Tile.cppTile.h
    Transpose.cppTranspose.h
    TransposeConv.cppTransposeConv.h
    Unpack.cppUnpack.h
    While.cppWhile.h
    +
    + + + + diff --git a/dir_000628_000480.html b/dir_000628_000480.html new file mode 100644 index 00000000000..1bfa3ae1976 --- /dev/null +++ b/dir_000628_000480.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/luci-interpreter/src/loader/nodes -> luci Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    nodes → luci Relation

    File in compiler/luci-interpreter/src/loader/nodesIncludes file in compiler/luci
    AveragePool2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    BatchMatMul.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    Builders.hlang / include / luci / IR / CircleNodes.h
    Conv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    DepthwiseConv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    +
    + + + + diff --git a/dir_000629_000442.html b/dir_000629_000442.html index 8187459d519..812103511e0 100644 --- a/dir_000629_000442.html +++ b/dir_000629_000442.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/import/src/Nodes -> lang Relation +ONE - On-device Neural Engine: compiler/luci/import/include/luci/Import/Nodes -> lang Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Nodes → lang Relation

    File in compiler/luci/import/src/NodesIncludes file in compiler/luci/lang
    CircleAbs.cppinclude / luci / IR / Nodes / CircleAbs.h
    CircleAdd.cppinclude / luci / IR / Nodes / CircleAdd.h
    CircleAddN.cppinclude / luci / IR / Nodes / CircleAdd.h
    CircleArgMax.cppinclude / luci / IR / Nodes / CircleArgMax.h
    CircleArgMin.cppinclude / luci / IR / Nodes / CircleArgMin.h
    CircleAveragePool2D.cppinclude / luci / IR / Nodes / CircleAveragePool2D.h
    CircleBatchMatMul.cppinclude / luci / IR / Nodes / CircleBatchMatMul.h
    CircleBatchToSpaceND.cppinclude / luci / IR / Nodes / CircleBatchToSpaceND.h
    CircleBCQFullyConnected.cppinclude / luci / IR / Nodes / CircleBCQFullyConnected.h
    CircleBCQGather.cppinclude / luci / IR / Nodes / CircleBCQGather.h
    CircleBidirectionalSequenceLSTM.cppinclude / luci / IR / Nodes / CircleBidirectionalSequenceLSTM.h
    CircleBidirectionalSequenceLSTM.cppinclude / luci / IR / Nodes / CircleBidirectionalSequenceLSTMOut.h
    CircleBroadcastTo.cppinclude / luci / IR / Nodes / CircleBroadcastTo.h
    CircleCast.cppinclude / luci / IR / Nodes / CircleCast.h
    CircleCeil.cppinclude / luci / IR / Nodes / CircleCeil.h
    CircleConcatenation.cppinclude / luci / IR / Nodes / CircleConcatenation.h
    CircleConst.cppinclude / luci / IR / Nodes / CircleConst.h
    CircleConv2D.cppinclude / luci / IR / Nodes / CircleConv2D.h
    CircleCos.cppinclude / luci / IR / Nodes / CircleCos.h
    CircleCumSum.cppinclude / luci / IR / Nodes / CircleCumSum.h
    CircleDensify.cppinclude / luci / IR / Nodes / CircleDensify.h
    CircleDepthToSpace.cppinclude / luci / IR / Nodes / CircleDepthToSpace.h
    CircleDepthwiseConv2D.cppinclude / luci / IR / Nodes / CircleDepthwiseConv2D.h
    CircleDequantize.cppinclude / luci / IR / Nodes / CircleDequantize.h
    CircleDiv.cppinclude / luci / IR / Nodes / CircleDiv.h
    CircleElu.cppinclude / luci / IR / Nodes / CircleElu.h
    CircleEqual.cppinclude / luci / IR / Nodes / CircleEqual.h
    CircleExp.cppinclude / luci / IR / Nodes / CircleExp.h
    CircleExpandDims.cppinclude / luci / IR / Nodes / CircleExpandDims.h
    CircleFakeQuant.cppinclude / luci / IR / Nodes / CircleFullyConnected.h
    CircleFakeQuant.cppinclude / luci / IR / Nodes / CircleOutput.h
    CircleFill.cppinclude / luci / IR / Nodes / CircleFill.h
    CircleFloor.cppinclude / luci / IR / Nodes / CircleFloor.h
    CircleFloorDiv.cppinclude / luci / IR / Nodes / CircleFloorDiv.h
    CircleFloorMod.cppinclude / luci / IR / Nodes / CircleFloorMod.h
    CircleFullyConnected.cppinclude / luci / IR / Nodes / CircleFullyConnected.h
    CircleFullyConnected.cppinclude / luci / IR / Nodes / CircleOutput.h
    CircleGather.cppinclude / luci / IR / Nodes / CircleGather.h
    CircleGatherNd.cppinclude / luci / IR / Nodes / CircleGatherNd.h
    CircleGelu.cppinclude / luci / IR / Nodes / CircleGelu.h
    CircleGreater.cppinclude / luci / IR / Nodes / CircleGreater.h
    CircleGreaterEqual.cppinclude / luci / IR / Nodes / CircleGreaterEqual.h
    CircleGRU.cppinclude / luci / IR / Nodes / CircleHardSwish.h
    CircleHardSwish.cppinclude / luci / IR / Nodes / CircleHardSwish.h
    CircleIf.cppinclude / luci / IR / Nodes / CircleIf.h
    CircleIf.cppinclude / luci / IR / Nodes / CircleIfOut.h
    CircleInstanceNorm.cppinclude / luci / IR / Nodes / CircleInstanceNorm.h
    CircleL2Normalize.cppinclude / luci / IR / Nodes / CircleL2Normalize.h
    CircleL2Pool2D.cppinclude / luci / IR / Nodes / CircleL2Pool2D.h
    CircleLeakyRelu.cppinclude / luci / IR / Nodes / CircleLeakyRelu.h
    CircleLess.cppinclude / luci / IR / Nodes / CircleLess.h
    CircleLessEqual.cppinclude / luci / IR / Nodes / CircleLessEqual.h
    CircleLocalResponseNormalization.cppinclude / luci / IR / Nodes / CircleLocalResponseNormalization.h
    CircleLog.cppinclude / luci / IR / Nodes / CircleLog.h
    CircleLogicalAnd.cppinclude / luci / IR / Nodes / CircleLogicalAnd.h
    CircleLogicalNot.cppinclude / luci / IR / Nodes / CircleLogicalNot.h
    CircleLogicalOr.cppinclude / luci / IR / Nodes / CircleLogicalOr.h
    CircleLogistic.cppinclude / luci / IR / Nodes / CircleLogistic.h
    CircleLogSoftmax.cppinclude / luci / IR / Nodes / CircleLogSoftmax.h
    CircleMatrixDiag.cppinclude / luci / IR / Nodes / CircleMatrixDiag.h
    CircleMatrixSetDiag.cppinclude / luci / IR / Nodes / CircleMatrixSetDiag.h
    CircleMaximum.cppinclude / luci / IR / Nodes / CircleMaximum.h
    CircleMaxPool2D.cppinclude / luci / IR / Nodes / CircleMaxPool2D.h
    CircleMean.cppinclude / luci / IR / Nodes / CircleMean.h
    CircleMinimum.cppinclude / luci / IR / Nodes / CircleMinimum.h
    CircleMirrorPad.cppinclude / luci / IR / Nodes / CircleMirrorPad.h
    CircleMul.cppinclude / luci / IR / Nodes / CircleMul.h
    CircleNeg.cppinclude / luci / IR / Nodes / CircleNeg.h
    CircleNonMaxSuppressionV4.cppinclude / luci / IR / Nodes / CircleNonMaxSuppressionV4.h
    CircleNonMaxSuppressionV4.cppinclude / luci / IR / Nodes / CircleNonMaxSuppressionV4Out.h
    CircleNonMaxSuppressionV5.cppinclude / luci / IR / Nodes / CircleNonMaxSuppressionV5.h
    CircleNonMaxSuppressionV5.cppinclude / luci / IR / Nodes / CircleNonMaxSuppressionV5Out.h
    CircleNotEqual.cppinclude / luci / IR / Nodes / CircleNotEqual.h
    CircleOneHot.cppinclude / luci / IR / Nodes / CircleOneHot.h
    CirclePack.cppinclude / luci / IR / Nodes / CirclePack.h
    CirclePad.cppinclude / luci / IR / Nodes / CirclePad.h
    CirclePadV2.cppinclude / luci / IR / Nodes / CirclePadV2.h
    CirclePow.cppinclude / luci / IR / Nodes / CirclePow.h
    CirclePRelu.cppinclude / luci / IR / Nodes / CirclePRelu.h
    CircleQuantize.cppinclude / luci / IR / Nodes / CircleQuantize.h
    CircleRange.cppinclude / luci / IR / Nodes / CircleRange.h
    CircleRank.cppinclude / luci / IR / Nodes / CircleRank.h
    CircleReduceAny.cppinclude / luci / IR / Nodes / CircleReduceAny.h
    CircleReduceMax.cppinclude / luci / IR / Nodes / CircleReduceMax.h
    CircleReduceMin.cppinclude / luci / IR / Nodes / CircleReduceMin.h
    CircleReduceProd.cppinclude / luci / IR / Nodes / CircleReduceProd.h
    CircleRelu.cppinclude / luci / IR / Nodes / CircleRelu.h
    CircleRelu6.cppinclude / luci / IR / Nodes / CircleRelu6.h
    CircleReluN1To1.cppinclude / luci / IR / Nodes / CircleReluN1To1.h
    CircleReshape.cppinclude / luci / IR / Nodes / CircleConst.h
    CircleReshape.cppinclude / luci / IR / Nodes / CircleReshape.h
    CircleResizeBilinear.cppinclude / luci / IR / Nodes / CircleResizeBilinear.h
    CircleResizeNearestNeighbor.cppinclude / luci / IR / Nodes / CircleResizeNearestNeighbor.h
    CircleReverseSequence.cppinclude / luci / IR / Nodes / CircleReverseSequence.h
    CircleReverseV2.cppinclude / luci / IR / Nodes / CircleReverseV2.h
    CircleRound.cppinclude / luci / IR / Nodes / CircleRound.h
    CircleRsqrt.cppinclude / luci / IR / Nodes / CircleRsqrt.h
    CircleScatterNd.cppinclude / luci / IR / Nodes / CircleScatterNd.h
    CircleSegmentSum.cppinclude / luci / IR / Nodes / CircleSegmentSum.h
    CircleSelect.cppinclude / luci / IR / Nodes / CircleSelect.h
    CircleSelectV2.cppinclude / luci / IR / Nodes / CircleSelectV2.h
    CircleShape.cppinclude / luci / IR / Nodes / CircleShape.h
    CircleSin.cppinclude / luci / IR / Nodes / CircleSin.h
    CircleSlice.cppinclude / luci / IR / Nodes / CircleSlice.h
    CircleSoftmax.cppinclude / luci / IR / Nodes / CircleSoftmax.h
    CircleSpaceToBatchND.cppinclude / luci / IR / Nodes / CircleSpaceToBatchND.h
    CircleSpaceToDepth.cppinclude / luci / IR / Nodes / CircleSpaceToDepth.h
    CircleSparseToDense.cppinclude / luci / IR / Nodes / CircleSparseToDense.h
    CircleSplit.cppinclude / luci / IR / Nodes / CircleSplit.h
    CircleSplit.cppinclude / luci / IR / Nodes / CircleSplitOut.h
    CircleSplitV.cppinclude / luci / IR / Nodes / CircleSplitV.h
    CircleSplitV.cppinclude / luci / IR / Nodes / CircleSplitVOut.h
    CircleSqrt.cppinclude / luci / IR / Nodes / CircleSqrt.h
    CircleSquare.cppinclude / luci / IR / Nodes / CircleSquare.h
    CircleSquaredDifference.cppinclude / luci / IR / Nodes / CircleSquaredDifference.h
    CircleSqueeze.cppinclude / luci / IR / Nodes / CircleSqueeze.h
    CircleStridedSlice.cppinclude / luci / IR / Nodes / CircleStridedSlice.h
    CircleSub.cppinclude / luci / IR / Nodes / CircleSub.h
    CircleSum.cppinclude / luci / IR / Nodes / CircleSum.h
    CircleSVDF.cppinclude / luci / IR / Nodes / CircleSVDF.h
    CircleTanh.cppinclude / luci / IR / Nodes / CircleTanh.h
    CircleTile.cppinclude / luci / IR / Nodes / CircleTile.h
    CircleTopKV2.cppinclude / luci / IR / Nodes / CircleTopKV2.h
    CircleTopKV2.cppinclude / luci / IR / Nodes / CircleTopKV2Out.h
    CircleTranspose.cppinclude / luci / IR / Nodes / CircleTranspose.h
    CircleTransposeConv.cppinclude / luci / IR / Nodes / CircleTransposeConv.h
    CircleUnidirectionalSequenceLSTM.cppinclude / luci / IR / Nodes / CircleUnidirectionalSequenceLSTM.h
    CircleUnique.cppinclude / luci / IR / Nodes / CircleUnique.h
    CircleUnique.cppinclude / luci / IR / Nodes / CircleUniqueOut.h
    CircleUnpack.cppinclude / luci / IR / Nodes / CircleUnpack.h
    CircleUnpack.cppinclude / luci / IR / Nodes / CircleUnpackOut.h
    CircleVariable.cppinclude / luci / IR / Nodes / CircleVariable.h
    CircleWhere.cppinclude / luci / IR / Nodes / CircleWhere.h
    CircleWhile.cppinclude / luci / IR / Nodes / CircleWhile.h
    CircleWhile.cppinclude / luci / IR / Nodes / CircleWhileOut.h
    CircleZerosLike.cppinclude / luci / IR / Nodes / CircleZerosLike.h
    +

    Nodes → lang Relation

    File in compiler/luci/import/include/luci/Import/NodesIncludes file in compiler/luci/lang
    CircleConst.hinclude / luci / IR / Nodes / CircleConst.h
    CircleVariable.hinclude / luci / IR / Nodes / CircleVariable.h
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    Nodes → loco Relation

    File in compiler/luci/import/src/NodesIncludes file in compiler/loco
    CircleAbs.cppinclude / loco.h
    CircleAdd.cppinclude / loco.h
    CircleAddN.cppinclude / loco.h
    CircleArgMax.cppinclude / loco.h
    CircleArgMin.cppinclude / loco.h
    CircleBatchToSpaceND.cppinclude / loco.h
    CircleBCQFullyConnected.cppinclude / loco.h
    CircleBCQGather.cppinclude / loco.h
    CircleBidirectionalSequenceLSTM.cppinclude / loco.h
    CircleBroadcastTo.cppinclude / loco.h
    CircleCast.cppinclude / loco.h
    CircleCeil.cppinclude / loco.h
    CircleConst.cppinclude / loco.h
    CircleConv2D.cppinclude / loco.h
    CircleCos.cppinclude / loco.h
    CircleCumSum.cppinclude / loco.h
    CircleCustom.cppinclude / loco.h
    CircleDensify.cppinclude / loco.h
    CircleDepthToSpace.cppinclude / loco.h
    CircleDequantize.cppinclude / loco.h
    CircleElu.cppinclude / loco.h
    CircleEqual.cppinclude / loco.h
    CircleExp.cppinclude / loco.h
    CircleExpandDims.cppinclude / loco.h
    CircleFakeQuant.cppinclude / loco.h
    CircleFloor.cppinclude / loco.h
    CircleFloorDiv.cppinclude / loco.h
    CircleFloorMod.cppinclude / loco.h
    CircleFullyConnected.cppinclude / loco.h
    CircleGather.cppinclude / loco.h
    CircleGatherNd.cppinclude / loco.h
    CircleGelu.cppinclude / loco.h
    CircleGreater.cppinclude / loco.h
    CircleGreaterEqual.cppinclude / loco.h
    CircleGRU.cppinclude / loco.h
    CircleHardSwish.cppinclude / loco.h
    CircleIf.cppinclude / loco.h
    CircleInstanceNorm.cppinclude / loco.h
    CircleL2Normalize.cppinclude / loco.h
    CircleL2Pool2D.cppinclude / loco.h
    CircleLeakyRelu.cppinclude / loco.h
    CircleLess.cppinclude / loco.h
    CircleLessEqual.cppinclude / loco.h
    CircleLocalResponseNormalization.cppinclude / loco.h
    CircleLog.cppinclude / loco.h
    CircleLogicalAnd.cppinclude / loco.h
    CircleLogicalNot.cppinclude / loco.h
    CircleLogicalOr.cppinclude / loco.h
    CircleLogistic.cppinclude / loco.h
    CircleLogSoftmax.cppinclude / loco.h
    CircleMatrixDiag.cppinclude / loco.h
    CircleMatrixSetDiag.cppinclude / loco.h
    CircleMaximum.cppinclude / loco.h
    CircleMaxPool2D.cppinclude / loco.h
    CircleMinimum.cppinclude / loco.h
    CircleMirrorPad.cppinclude / loco.h
    CircleNeg.cppinclude / loco.h
    CircleNonMaxSuppressionV4.cppinclude / loco.h
    CircleNonMaxSuppressionV5.cppinclude / loco.h
    CircleNotEqual.cppinclude / loco.h
    CircleOneHot.cppinclude / loco.h
    CirclePack.cppinclude / loco.h
    CirclePad.cppinclude / loco.h
    CirclePadV2.cppinclude / loco.h
    CirclePow.cppinclude / loco.h
    CirclePRelu.cppinclude / loco.h
    CircleQuantize.cppinclude / loco.h
    CircleRange.cppinclude / loco.h
    CircleRank.cppinclude / loco.h
    CircleRelu.cppinclude / loco.h
    CircleRelu6.cppinclude / loco.h
    CircleReluN1To1.cppinclude / loco.h
    CircleReverseSequence.cppinclude / loco.h
    CircleReverseV2.cppinclude / loco.h
    CircleRound.cppinclude / loco.h
    CircleRsqrt.cppinclude / loco.h
    CircleScatterNd.cppinclude / loco.h
    CircleSegmentSum.cppinclude / loco.h
    CircleSelect.cppinclude / loco.h
    CircleSelectV2.cppinclude / loco.h
    CircleShape.cppinclude / loco.h
    CircleSin.cppinclude / loco.h
    CircleSlice.cppinclude / loco.h
    CircleSoftmax.cppinclude / loco.h
    CircleSpaceToBatchND.cppinclude / loco.h
    CircleSpaceToDepth.cppinclude / loco.h
    CircleSparseToDense.cppinclude / loco.h
    CircleSplit.cppinclude / loco.h
    CircleSplitV.cppinclude / loco.h
    CircleSqrt.cppinclude / loco.h
    CircleSquare.cppinclude / loco.h
    CircleSquaredDifference.cppinclude / loco.h
    CircleStridedSlice.cppinclude / loco.h
    CircleSub.cppinclude / loco.h
    CircleSVDF.cppinclude / loco.h
    CircleTanh.cppinclude / loco.h
    CircleTile.cppinclude / loco.h
    CircleTopKV2.cppinclude / loco.h
    CircleTranspose.cppinclude / loco.h
    CircleTransposeConv.cppinclude / loco.h
    CircleUnidirectionalSequenceLSTM.cppinclude / loco.h
    CircleUnique.cppinclude / loco.h
    CircleUnpack.cppinclude / loco.h
    CircleWhere.cppinclude / loco.h
    CircleWhile.cppinclude / loco.h
    CircleZerosLike.cppinclude / loco.h
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    Nodes → lang Relation

    File in compiler/luci/import/src/NodesIncludes file in compiler/luci/lang
    CircleAbs.cppinclude / luci / IR / Nodes / CircleAbs.h
    CircleAdd.cppinclude / luci / IR / Nodes / CircleAdd.h
    CircleAddN.cppinclude / luci / IR / Nodes / CircleAdd.h
    CircleArgMax.cppinclude / luci / IR / Nodes / CircleArgMax.h
    CircleArgMin.cppinclude / luci / IR / Nodes / CircleArgMin.h
    CircleAveragePool2D.cppinclude / luci / IR / Nodes / CircleAveragePool2D.h
    CircleBatchMatMul.cppinclude / luci / IR / Nodes / CircleBatchMatMul.h
    CircleBatchToSpaceND.cppinclude / luci / IR / Nodes / CircleBatchToSpaceND.h
    CircleBCQFullyConnected.cppinclude / luci / IR / Nodes / CircleBCQFullyConnected.h
    CircleBCQGather.cppinclude / luci / IR / Nodes / CircleBCQGather.h
    CircleBidirectionalSequenceLSTM.cppinclude / luci / IR / Nodes / CircleBidirectionalSequenceLSTM.h
    CircleBidirectionalSequenceLSTM.cppinclude / luci / IR / Nodes / CircleBidirectionalSequenceLSTMOut.h
    CircleBroadcastTo.cppinclude / luci / IR / Nodes / CircleBroadcastTo.h
    CircleCast.cppinclude / luci / IR / Nodes / CircleCast.h
    CircleCeil.cppinclude / luci / IR / Nodes / CircleCeil.h
    CircleConcatenation.cppinclude / luci / IR / Nodes / CircleConcatenation.h
    CircleConst.cppinclude / luci / IR / Nodes / CircleConst.h
    CircleConv2D.cppinclude / luci / IR / Nodes / CircleConv2D.h
    CircleCos.cppinclude / luci / IR / Nodes / CircleCos.h
    CircleCumSum.cppinclude / luci / IR / Nodes / CircleCumSum.h
    CircleDensify.cppinclude / luci / IR / Nodes / CircleDensify.h
    CircleDepthToSpace.cppinclude / luci / IR / Nodes / CircleDepthToSpace.h
    CircleDepthwiseConv2D.cppinclude / luci / IR / Nodes / CircleDepthwiseConv2D.h
    CircleDequantize.cppinclude / luci / IR / Nodes / CircleDequantize.h
    CircleDiv.cppinclude / luci / IR / Nodes / CircleDiv.h
    CircleElu.cppinclude / luci / IR / Nodes / CircleElu.h
    CircleEqual.cppinclude / luci / IR / Nodes / CircleEqual.h
    CircleExp.cppinclude / luci / IR / Nodes / CircleExp.h
    CircleExpandDims.cppinclude / luci / IR / Nodes / CircleExpandDims.h
    CircleFakeQuant.cppinclude / luci / IR / Nodes / CircleFullyConnected.h
    CircleFakeQuant.cppinclude / luci / IR / Nodes / CircleOutput.h
    CircleFill.cppinclude / luci / IR / Nodes / CircleFill.h
    CircleFloor.cppinclude / luci / IR / Nodes / CircleFloor.h
    CircleFloorDiv.cppinclude / luci / IR / Nodes / CircleFloorDiv.h
    CircleFloorMod.cppinclude / luci / IR / Nodes / CircleFloorMod.h
    CircleFullyConnected.cppinclude / luci / IR / Nodes / CircleFullyConnected.h
    CircleFullyConnected.cppinclude / luci / IR / Nodes / CircleOutput.h
    CircleGather.cppinclude / luci / IR / Nodes / CircleGather.h
    CircleGatherNd.cppinclude / luci / IR / Nodes / CircleGatherNd.h
    CircleGelu.cppinclude / luci / IR / Nodes / CircleGelu.h
    CircleGreater.cppinclude / luci / IR / Nodes / CircleGreater.h
    CircleGreaterEqual.cppinclude / luci / IR / Nodes / CircleGreaterEqual.h
    CircleGRU.cppinclude / luci / IR / Nodes / CircleHardSwish.h
    CircleHardSwish.cppinclude / luci / IR / Nodes / CircleHardSwish.h
    CircleIf.cppinclude / luci / IR / Nodes / CircleIf.h
    CircleIf.cppinclude / luci / IR / Nodes / CircleIfOut.h
    CircleInstanceNorm.cppinclude / luci / IR / Nodes / CircleInstanceNorm.h
    CircleL2Normalize.cppinclude / luci / IR / Nodes / CircleL2Normalize.h
    CircleL2Pool2D.cppinclude / luci / IR / Nodes / CircleL2Pool2D.h
    CircleLeakyRelu.cppinclude / luci / IR / Nodes / CircleLeakyRelu.h
    CircleLess.cppinclude / luci / IR / Nodes / CircleLess.h
    CircleLessEqual.cppinclude / luci / IR / Nodes / CircleLessEqual.h
    CircleLocalResponseNormalization.cppinclude / luci / IR / Nodes / CircleLocalResponseNormalization.h
    CircleLog.cppinclude / luci / IR / Nodes / CircleLog.h
    CircleLogicalAnd.cppinclude / luci / IR / Nodes / CircleLogicalAnd.h
    CircleLogicalNot.cppinclude / luci / IR / Nodes / CircleLogicalNot.h
    CircleLogicalOr.cppinclude / luci / IR / Nodes / CircleLogicalOr.h
    CircleLogistic.cppinclude / luci / IR / Nodes / CircleLogistic.h
    CircleLogSoftmax.cppinclude / luci / IR / Nodes / CircleLogSoftmax.h
    CircleMatrixDiag.cppinclude / luci / IR / Nodes / CircleMatrixDiag.h
    CircleMatrixSetDiag.cppinclude / luci / IR / Nodes / CircleMatrixSetDiag.h
    CircleMaximum.cppinclude / luci / IR / Nodes / CircleMaximum.h
    CircleMaxPool2D.cppinclude / luci / IR / Nodes / CircleMaxPool2D.h
    CircleMean.cppinclude / luci / IR / Nodes / CircleMean.h
    CircleMinimum.cppinclude / luci / IR / Nodes / CircleMinimum.h
    CircleMirrorPad.cppinclude / luci / IR / Nodes / CircleMirrorPad.h
    CircleMul.cppinclude / luci / IR / Nodes / CircleMul.h
    CircleNeg.cppinclude / luci / IR / Nodes / CircleNeg.h
    CircleNonMaxSuppressionV4.cppinclude / luci / IR / Nodes / CircleNonMaxSuppressionV4.h
    CircleNonMaxSuppressionV4.cppinclude / luci / IR / Nodes / CircleNonMaxSuppressionV4Out.h
    CircleNonMaxSuppressionV5.cppinclude / luci / IR / Nodes / CircleNonMaxSuppressionV5.h
    CircleNonMaxSuppressionV5.cppinclude / luci / IR / Nodes / CircleNonMaxSuppressionV5Out.h
    CircleNotEqual.cppinclude / luci / IR / Nodes / CircleNotEqual.h
    CircleOneHot.cppinclude / luci / IR / Nodes / CircleOneHot.h
    CirclePack.cppinclude / luci / IR / Nodes / CirclePack.h
    CirclePad.cppinclude / luci / IR / Nodes / CirclePad.h
    CirclePadV2.cppinclude / luci / IR / Nodes / CirclePadV2.h
    CirclePow.cppinclude / luci / IR / Nodes / CirclePow.h
    CirclePRelu.cppinclude / luci / IR / Nodes / CirclePRelu.h
    CircleQuantize.cppinclude / luci / IR / Nodes / CircleQuantize.h
    CircleRange.cppinclude / luci / IR / Nodes / CircleRange.h
    CircleRank.cppinclude / luci / IR / Nodes / CircleRank.h
    CircleReduceAny.cppinclude / luci / IR / Nodes / CircleReduceAny.h
    CircleReduceMax.cppinclude / luci / IR / Nodes / CircleReduceMax.h
    CircleReduceMin.cppinclude / luci / IR / Nodes / CircleReduceMin.h
    CircleReduceProd.cppinclude / luci / IR / Nodes / CircleReduceProd.h
    CircleRelu.cppinclude / luci / IR / Nodes / CircleRelu.h
    CircleRelu6.cppinclude / luci / IR / Nodes / CircleRelu6.h
    CircleReluN1To1.cppinclude / luci / IR / Nodes / CircleReluN1To1.h
    CircleReshape.cppinclude / luci / IR / Nodes / CircleConst.h
    CircleReshape.cppinclude / luci / IR / Nodes / CircleReshape.h
    CircleResizeBilinear.cppinclude / luci / IR / Nodes / CircleResizeBilinear.h
    CircleResizeNearestNeighbor.cppinclude / luci / IR / Nodes / CircleResizeNearestNeighbor.h
    CircleReverseSequence.cppinclude / luci / IR / Nodes / CircleReverseSequence.h
    CircleReverseV2.cppinclude / luci / IR / Nodes / CircleReverseV2.h
    CircleRound.cppinclude / luci / IR / Nodes / CircleRound.h
    CircleRsqrt.cppinclude / luci / IR / Nodes / CircleRsqrt.h
    CircleScatterNd.cppinclude / luci / IR / Nodes / CircleScatterNd.h
    CircleSegmentSum.cppinclude / luci / IR / Nodes / CircleSegmentSum.h
    CircleSelect.cppinclude / luci / IR / Nodes / CircleSelect.h
    CircleSelectV2.cppinclude / luci / IR / Nodes / CircleSelectV2.h
    CircleShape.cppinclude / luci / IR / Nodes / CircleShape.h
    CircleSin.cppinclude / luci / IR / Nodes / CircleSin.h
    CircleSlice.cppinclude / luci / IR / Nodes / CircleSlice.h
    CircleSoftmax.cppinclude / luci / IR / Nodes / CircleSoftmax.h
    CircleSpaceToBatchND.cppinclude / luci / IR / Nodes / CircleSpaceToBatchND.h
    CircleSpaceToDepth.cppinclude / luci / IR / Nodes / CircleSpaceToDepth.h
    CircleSparseToDense.cppinclude / luci / IR / Nodes / CircleSparseToDense.h
    CircleSplit.cppinclude / luci / IR / Nodes / CircleSplit.h
    CircleSplit.cppinclude / luci / IR / Nodes / CircleSplitOut.h
    CircleSplitV.cppinclude / luci / IR / Nodes / CircleSplitV.h
    CircleSplitV.cppinclude / luci / IR / Nodes / CircleSplitVOut.h
    CircleSqrt.cppinclude / luci / IR / Nodes / CircleSqrt.h
    CircleSquare.cppinclude / luci / IR / Nodes / CircleSquare.h
    CircleSquaredDifference.cppinclude / luci / IR / Nodes / CircleSquaredDifference.h
    CircleSqueeze.cppinclude / luci / IR / Nodes / CircleSqueeze.h
    CircleStridedSlice.cppinclude / luci / IR / Nodes / CircleStridedSlice.h
    CircleSub.cppinclude / luci / IR / Nodes / CircleSub.h
    CircleSum.cppinclude / luci / IR / Nodes / CircleSum.h
    CircleSVDF.cppinclude / luci / IR / Nodes / CircleSVDF.h
    CircleTanh.cppinclude / luci / IR / Nodes / CircleTanh.h
    CircleTile.cppinclude / luci / IR / Nodes / CircleTile.h
    CircleTopKV2.cppinclude / luci / IR / Nodes / CircleTopKV2.h
    CircleTopKV2.cppinclude / luci / IR / Nodes / CircleTopKV2Out.h
    CircleTranspose.cppinclude / luci / IR / Nodes / CircleTranspose.h
    CircleTransposeConv.cppinclude / luci / IR / Nodes / CircleTransposeConv.h
    CircleUnidirectionalSequenceLSTM.cppinclude / luci / IR / Nodes / CircleUnidirectionalSequenceLSTM.h
    CircleUnique.cppinclude / luci / IR / Nodes / CircleUnique.h
    CircleUnique.cppinclude / luci / IR / Nodes / CircleUniqueOut.h
    CircleUnpack.cppinclude / luci / IR / Nodes / CircleUnpack.h
    CircleUnpack.cppinclude / luci / IR / Nodes / CircleUnpackOut.h
    CircleVariable.cppinclude / luci / IR / Nodes / CircleVariable.h
    CircleWhere.cppinclude / luci / IR / Nodes / CircleWhere.h
    CircleWhile.cppinclude / luci / IR / Nodes / CircleWhile.h
    CircleWhile.cppinclude / luci / IR / Nodes / CircleWhileOut.h
    CircleZerosLike.cppinclude / luci / IR / Nodes / CircleZerosLike.h
    +
    + + + + diff --git a/dir_000630_000455.html b/dir_000630_000455.html index 334890f76fd..2c6f9042a61 100644 --- a/dir_000630_000455.html +++ b/dir_000630_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/lang/include/luci/IR/Nodes -> loco Relation +ONE - On-device Neural Engine: compiler/luci/import/src/Nodes -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Nodes → loco Relation

    File in compiler/luci/lang/include/luci/IR/NodesIncludes file in compiler/loco
    CircleConst.hinclude / loco / IR / DataTypeTraits.h
    CircleInput.hinclude / loco / IR / DataTypeTraits.h
    CircleInput.hinclude / loco / IR / GraphInputIndex.h
    CircleOutput.hinclude / loco / IR / GraphOutputIndex.h
    +

    Nodes → loco Relation

    File in compiler/luci/import/src/NodesIncludes file in compiler/loco
    CircleAbs.cppinclude / loco.h
    CircleAdd.cppinclude / loco.h
    CircleAddN.cppinclude / loco.h
    CircleArgMax.cppinclude / loco.h
    CircleArgMin.cppinclude / loco.h
    CircleBatchToSpaceND.cppinclude / loco.h
    CircleBCQFullyConnected.cppinclude / loco.h
    CircleBCQGather.cppinclude / loco.h
    CircleBidirectionalSequenceLSTM.cppinclude / loco.h
    CircleBroadcastTo.cppinclude / loco.h
    CircleCast.cppinclude / loco.h
    CircleCeil.cppinclude / loco.h
    CircleConst.cppinclude / loco.h
    CircleConv2D.cppinclude / loco.h
    CircleCos.cppinclude / loco.h
    CircleCumSum.cppinclude / loco.h
    CircleCustom.cppinclude / loco.h
    CircleDensify.cppinclude / loco.h
    CircleDepthToSpace.cppinclude / loco.h
    CircleDequantize.cppinclude / loco.h
    CircleElu.cppinclude / loco.h
    CircleEqual.cppinclude / loco.h
    CircleExp.cppinclude / loco.h
    CircleExpandDims.cppinclude / loco.h
    CircleFakeQuant.cppinclude / loco.h
    CircleFloor.cppinclude / loco.h
    CircleFloorDiv.cppinclude / loco.h
    CircleFloorMod.cppinclude / loco.h
    CircleFullyConnected.cppinclude / loco.h
    CircleGather.cppinclude / loco.h
    CircleGatherNd.cppinclude / loco.h
    CircleGelu.cppinclude / loco.h
    CircleGreater.cppinclude / loco.h
    CircleGreaterEqual.cppinclude / loco.h
    CircleGRU.cppinclude / loco.h
    CircleHardSwish.cppinclude / loco.h
    CircleIf.cppinclude / loco.h
    CircleInstanceNorm.cppinclude / loco.h
    CircleL2Normalize.cppinclude / loco.h
    CircleL2Pool2D.cppinclude / loco.h
    CircleLeakyRelu.cppinclude / loco.h
    CircleLess.cppinclude / loco.h
    CircleLessEqual.cppinclude / loco.h
    CircleLocalResponseNormalization.cppinclude / loco.h
    CircleLog.cppinclude / loco.h
    CircleLogicalAnd.cppinclude / loco.h
    CircleLogicalNot.cppinclude / loco.h
    CircleLogicalOr.cppinclude / loco.h
    CircleLogistic.cppinclude / loco.h
    CircleLogSoftmax.cppinclude / loco.h
    CircleMatrixDiag.cppinclude / loco.h
    CircleMatrixSetDiag.cppinclude / loco.h
    CircleMaximum.cppinclude / loco.h
    CircleMaxPool2D.cppinclude / loco.h
    CircleMinimum.cppinclude / loco.h
    CircleMirrorPad.cppinclude / loco.h
    CircleNeg.cppinclude / loco.h
    CircleNonMaxSuppressionV4.cppinclude / loco.h
    CircleNonMaxSuppressionV5.cppinclude / loco.h
    CircleNotEqual.cppinclude / loco.h
    CircleOneHot.cppinclude / loco.h
    CirclePack.cppinclude / loco.h
    CirclePad.cppinclude / loco.h
    CirclePadV2.cppinclude / loco.h
    CirclePow.cppinclude / loco.h
    CirclePRelu.cppinclude / loco.h
    CircleQuantize.cppinclude / loco.h
    CircleRange.cppinclude / loco.h
    CircleRank.cppinclude / loco.h
    CircleRelu.cppinclude / loco.h
    CircleRelu6.cppinclude / loco.h
    CircleReluN1To1.cppinclude / loco.h
    CircleReverseSequence.cppinclude / loco.h
    CircleReverseV2.cppinclude / loco.h
    CircleRound.cppinclude / loco.h
    CircleRsqrt.cppinclude / loco.h
    CircleScatterNd.cppinclude / loco.h
    CircleSegmentSum.cppinclude / loco.h
    CircleSelect.cppinclude / loco.h
    CircleSelectV2.cppinclude / loco.h
    CircleShape.cppinclude / loco.h
    CircleSin.cppinclude / loco.h
    CircleSlice.cppinclude / loco.h
    CircleSoftmax.cppinclude / loco.h
    CircleSpaceToBatchND.cppinclude / loco.h
    CircleSpaceToDepth.cppinclude / loco.h
    CircleSparseToDense.cppinclude / loco.h
    CircleSplit.cppinclude / loco.h
    CircleSplitV.cppinclude / loco.h
    CircleSqrt.cppinclude / loco.h
    CircleSquare.cppinclude / loco.h
    CircleSquaredDifference.cppinclude / loco.h
    CircleStridedSlice.cppinclude / loco.h
    CircleSub.cppinclude / loco.h
    CircleSVDF.cppinclude / loco.h
    CircleTanh.cppinclude / loco.h
    CircleTile.cppinclude / loco.h
    CircleTopKV2.cppinclude / loco.h
    CircleTranspose.cppinclude / loco.h
    CircleTransposeConv.cppinclude / loco.h
    CircleUnidirectionalSequenceLSTM.cppinclude / loco.h
    CircleUnique.cppinclude / loco.h
    CircleUnpack.cppinclude / loco.h
    CircleWhere.cppinclude / loco.h
    CircleWhile.cppinclude / loco.h
    CircleZerosLike.cppinclude / loco.h
    diff --git a/dir_000629_000464.html b/dir_000630_000464.html similarity index 100% rename from dir_000629_000464.html rename to dir_000630_000464.html diff --git a/dir_000629_000656.html b/dir_000630_000657.html similarity index 100% rename from dir_000629_000656.html rename to dir_000630_000657.html diff --git a/dir_000607_000027.html b/dir_000631_000455.html similarity index 57% rename from dir_000607_000027.html rename to dir_000631_000455.html index 0cf6500517d..334890f76fd 100644 --- a/dir_000607_000027.html +++ b/dir_000631_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-onnxrt/support/include/nnkit -> angkor Relation +ONE - On-device Neural Engine: compiler/luci/lang/include/luci/IR/Nodes -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    nnkit → angkor Relation

    File in compiler/nnkit-onnxrt/support/include/nnkitIncludes file in compiler/angkor
    support / onnx / TensorContext.hinclude / nncc / core / ADT / tensor / LexicalLayout.h
    support / onnx / TensorContext.hinclude / nncc / core / ADT / tensor / Overlay.h
    +

    Nodes → loco Relation

    File in compiler/luci/lang/include/luci/IR/NodesIncludes file in compiler/loco
    CircleConst.hinclude / loco / IR / DataTypeTraits.h
    CircleInput.hinclude / loco / IR / DataTypeTraits.h
    CircleInput.hinclude / loco / IR / GraphInputIndex.h
    CircleOutput.hinclude / loco / IR / GraphOutputIndex.h
    diff --git a/dir_000631_000321.html b/dir_000632_000321.html similarity index 100% rename from dir_000631_000321.html rename to dir_000632_000321.html diff --git a/dir_000632_000324.html b/dir_000633_000324.html similarity index 100% rename from dir_000632_000324.html rename to dir_000633_000324.html diff --git a/dir_000634_000442.html b/dir_000634_000442.html index cf77de9fd82..0a423fd9b10 100644 --- a/dir_000634_000442.html +++ b/dir_000634_000442.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/service/src/Nodes -> lang Relation +ONE - On-device Neural Engine: compiler/luci/service/include/luci/Service/Nodes -> lang Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Nodes → lang Relation

    File in compiler/luci/service/src/NodesIncludes file in compiler/luci/lang
    CircleConst.cppinclude / luci / IR / Nodes / CircleConst.h
    +

    Nodes → lang Relation

    File in compiler/luci/service/include/luci/Service/NodesIncludes file in compiler/luci/lang
    CircleConst.hinclude / luci / IR / Nodes / CircleConst.h
    diff --git a/dir_000634_000328.html b/dir_000635_000328.html similarity index 100% rename from dir_000634_000328.html rename to dir_000635_000328.html diff --git a/dir_000633_000442.html b/dir_000635_000442.html similarity index 74% rename from dir_000633_000442.html rename to dir_000635_000442.html index 0a423fd9b10..cf77de9fd82 100644 --- a/dir_000633_000442.html +++ b/dir_000635_000442.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/service/include/luci/Service/Nodes -> lang Relation +ONE - On-device Neural Engine: compiler/luci/service/src/Nodes -> lang Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Nodes → lang Relation

    File in compiler/luci/service/include/luci/Service/NodesIncludes file in compiler/luci/lang
    CircleConst.hinclude / luci / IR / Nodes / CircleConst.h
    +

    Nodes → lang Relation

    File in compiler/luci/service/src/NodesIncludes file in compiler/luci/lang
    CircleConst.cppinclude / luci / IR / Nodes / CircleConst.h
    diff --git a/dir_000634_000455.html b/dir_000635_000455.html similarity index 100% rename from dir_000634_000455.html rename to dir_000635_000455.html diff --git a/dir_000634_000656.html b/dir_000635_000657.html similarity index 100% rename from dir_000634_000656.html rename to dir_000635_000657.html diff --git a/dir_000636_000344.html b/dir_000636_000344.html deleted file mode 100644 index 8ea0671c8d6..00000000000 --- a/dir_000636_000344.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/moco/import/src/Nodes -> include Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    Nodes → include Relation

    File in compiler/moco/import/src/NodesIncludes file in compiler/moco/import/include
    Add.cppmoco / Import / Nodes / Add.h
    AvgPool.cppmoco / Import / Nodes / AvgPool.h
    BiasAdd.cppmoco / Import / Nodes / BiasAdd.h
    Concat.cppmoco / Import / Nodes / Concat.h
    Const.cppmoco / Import / Nodes / Const.h
    Conv2D.cppmoco / Import / Nodes / Conv2D.h
    Conv2DBackpropInput.cppmoco / Import / Nodes / Conv2DBackpropInput.h
    DepthwiseConv2dNative.cppmoco / Import / Nodes / DepthwiseConv2dNative.h
    FakeQuantWithMinMaxVars.cppmoco / Import / Nodes / FakeQuantWithMinMaxVars.h
    FusedBatchNorm.cppmoco / Import / Nodes / FusedBatchNorm.h
    Identity.cppmoco / Import / Nodes / Identity.h
    Maximum.cppmoco / Import / Nodes / Maximum.h
    MaxPool.cppmoco / Import / Nodes / MaxPool.h
    Mean.cppmoco / Import / Nodes / Mean.h
    Mul.cppmoco / Import / Nodes / Mul.h
    Pack.cppmoco / Import / Nodes / Pack.h
    Pad.cppmoco / Import / Nodes / Pad.h
    Placeholder.cppmoco / Import / Nodes / Placeholder.h
    RealDiv.cppmoco / Import / Nodes / RealDiv.h
    Relu.cppmoco / Import / Nodes / Relu.h
    Relu6.cppmoco / Import / Nodes / Relu6.h
    Reshape.cppmoco / Import / Nodes / Reshape.h
    Rsqrt.cppmoco / Import / Nodes / Rsqrt.h
    Shape.cppmoco / Import / Nodes / Shape.h
    Softmax.cppmoco / Import / Nodes / Softmax.h
    Sqrt.cppmoco / Import / Nodes / Sqrt.h
    SquaredDifference.cppmoco / Import / Nodes / SquaredDifference.h
    Squeeze.cppmoco / Import / Nodes / Squeeze.h
    StopGradient.cppmoco / Import / Nodes / StopGradient.h
    StridedSlice.cppmoco / Import / Nodes / StridedSlice.h
    Sub.cppmoco / Import / Nodes / Sub.h
    Tanh.cppmoco / Import / Nodes / Tanh.h
    -
    - - - - diff --git a/dir_000636_000443.html b/dir_000636_000443.html deleted file mode 100644 index f12815b4ec9..00000000000 --- a/dir_000636_000443.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/moco/import/src/Nodes -> lang Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    Nodes → lang Relation

    File in compiler/moco/import/src/NodesIncludes file in compiler/moco/lang
    Add.cppinclude / moco / IR / Nodes / TFAdd.h
    AvgPool.cppinclude / moco / Names.h
    AvgPool.cppinclude / moco / IR / Nodes / TFAvgPool.h
    BiasAdd.cppinclude / moco / Names.h
    BiasAdd.cppinclude / moco / IR / Nodes / TFBiasAdd.h
    Concat.cppinclude / moco / Names.h
    Concat.cppinclude / moco / IR / Nodes / TFConcatV2.h
    Const.cppinclude / moco / Names.h
    Const.cppinclude / moco / IR / TFNodes.h
    Conv2D.cppinclude / moco / Names.h
    Conv2D.cppinclude / moco / IR / Nodes / TFConv2D.h
    Conv2DBackpropInput.cppinclude / moco / IR / Nodes / TFConv2DBackpropInput.h
    DepthwiseConv2dNative.cppinclude / moco / Names.h
    DepthwiseConv2dNative.cppinclude / moco / IR / Nodes / TFDepthwiseConv2dNative.h
    FakeQuantWithMinMaxVars.cppinclude / moco / Names.h
    FakeQuantWithMinMaxVars.cppinclude / moco / IR / Nodes / TFFakeQuantWithMinMaxVars.h
    FusedBatchNorm.cppinclude / moco / IR / Nodes / TFFusedBatchNorm.h
    Identity.cppinclude / moco / Names.h
    Identity.cppinclude / moco / IR / Nodes / TFIdentity.h
    Maximum.cppinclude / moco / IR / Nodes / TFMaximum.h
    MaxPool.cppinclude / moco / Names.h
    MaxPool.cppinclude / moco / IR / Nodes / TFMaxPool.h
    Mean.cppinclude / moco / IR / Nodes / TFMean.h
    Mul.cppinclude / moco / IR / Nodes / TFMul.h
    Pack.cppinclude / moco / Names.h
    Pack.cppinclude / moco / IR / Nodes / TFConst.h
    Pack.cppinclude / moco / IR / Nodes / TFPack.h
    Pad.cppinclude / moco / IR / Nodes / TFPad.h
    Placeholder.cppinclude / moco / Names.h
    Placeholder.cppinclude / moco / IR / Nodes / TFPlaceholder.h
    RealDiv.cppinclude / moco / IR / Nodes / TFRealDiv.h
    Relu.cppinclude / moco / Names.h
    Relu.cppinclude / moco / IR / Nodes / TFRelu.h
    Relu6.cppinclude / moco / IR / Nodes / TFRelu6.h
    Reshape.cppinclude / moco / Names.h
    Reshape.cppinclude / moco / IR / Nodes / TFReshape.h
    Rsqrt.cppinclude / moco / IR / Nodes / TFRsqrt.h
    Shape.cppinclude / moco / IR / Nodes / TFShape.h
    Softmax.cppinclude / moco / IR / Nodes / TFSoftmax.h
    Sqrt.cppinclude / moco / IR / Nodes / TFSqrt.h
    SquaredDifference.cppinclude / moco / IR / Nodes / TFSquaredDifference.h
    Squeeze.cppinclude / moco / Names.h
    Squeeze.cppinclude / moco / IR / Nodes / TFSqueeze.h
    StopGradient.cppinclude / moco / IR / Nodes / TFStopGradient.h
    StridedSlice.cppinclude / moco / Names.h
    StridedSlice.cppinclude / moco / IR / Nodes / TFConst.h
    StridedSlice.cppinclude / moco / IR / Nodes / TFStridedSlice.h
    Sub.cppinclude / moco / IR / Nodes / TFSub.h
    Tanh.cppinclude / moco / IR / Nodes / TFTanh.h
    -
    - - - - diff --git a/dir_000636_000455.html b/dir_000636_000455.html deleted file mode 100644 index 6afe9da63e2..00000000000 --- a/dir_000636_000455.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/moco/import/src/Nodes -> loco Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - - - - - - diff --git a/dir_000637_000344.html b/dir_000637_000344.html new file mode 100644 index 00000000000..59d77d54541 --- /dev/null +++ b/dir_000637_000344.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/moco/import/src/Nodes -> include Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
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    +
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    +
    Loading...
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    Searching...
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    No Matches
    +
    +
    +
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    + +
    +

    Nodes → include Relation

    File in compiler/moco/import/src/NodesIncludes file in compiler/moco/import/include
    Add.cppmoco / Import / Nodes / Add.h
    AvgPool.cppmoco / Import / Nodes / AvgPool.h
    BiasAdd.cppmoco / Import / Nodes / BiasAdd.h
    Concat.cppmoco / Import / Nodes / Concat.h
    Const.cppmoco / Import / Nodes / Const.h
    Conv2D.cppmoco / Import / Nodes / Conv2D.h
    Conv2DBackpropInput.cppmoco / Import / Nodes / Conv2DBackpropInput.h
    DepthwiseConv2dNative.cppmoco / Import / Nodes / DepthwiseConv2dNative.h
    FakeQuantWithMinMaxVars.cppmoco / Import / Nodes / FakeQuantWithMinMaxVars.h
    FusedBatchNorm.cppmoco / Import / Nodes / FusedBatchNorm.h
    Identity.cppmoco / Import / Nodes / Identity.h
    Maximum.cppmoco / Import / Nodes / Maximum.h
    MaxPool.cppmoco / Import / Nodes / MaxPool.h
    Mean.cppmoco / Import / Nodes / Mean.h
    Mul.cppmoco / Import / Nodes / Mul.h
    Pack.cppmoco / Import / Nodes / Pack.h
    Pad.cppmoco / Import / Nodes / Pad.h
    Placeholder.cppmoco / Import / Nodes / Placeholder.h
    RealDiv.cppmoco / Import / Nodes / RealDiv.h
    Relu.cppmoco / Import / Nodes / Relu.h
    Relu6.cppmoco / Import / Nodes / Relu6.h
    Reshape.cppmoco / Import / Nodes / Reshape.h
    Rsqrt.cppmoco / Import / Nodes / Rsqrt.h
    Shape.cppmoco / Import / Nodes / Shape.h
    Softmax.cppmoco / Import / Nodes / Softmax.h
    Sqrt.cppmoco / Import / Nodes / Sqrt.h
    SquaredDifference.cppmoco / Import / Nodes / SquaredDifference.h
    Squeeze.cppmoco / Import / Nodes / Squeeze.h
    StopGradient.cppmoco / Import / Nodes / StopGradient.h
    StridedSlice.cppmoco / Import / Nodes / StridedSlice.h
    Sub.cppmoco / Import / Nodes / Sub.h
    Tanh.cppmoco / Import / Nodes / Tanh.h
    +
    + + + + diff --git a/dir_000637_000443.html b/dir_000637_000443.html new file mode 100644 index 00000000000..cd087ab9469 --- /dev/null +++ b/dir_000637_000443.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/moco/import/src/Nodes -> lang Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    Nodes → lang Relation

    File in compiler/moco/import/src/NodesIncludes file in compiler/moco/lang
    Add.cppinclude / moco / IR / Nodes / TFAdd.h
    AvgPool.cppinclude / moco / Names.h
    AvgPool.cppinclude / moco / IR / Nodes / TFAvgPool.h
    BiasAdd.cppinclude / moco / Names.h
    BiasAdd.cppinclude / moco / IR / Nodes / TFBiasAdd.h
    Concat.cppinclude / moco / Names.h
    Concat.cppinclude / moco / IR / Nodes / TFConcatV2.h
    Const.cppinclude / moco / Names.h
    Const.cppinclude / moco / IR / TFNodes.h
    Conv2D.cppinclude / moco / Names.h
    Conv2D.cppinclude / moco / IR / Nodes / TFConv2D.h
    Conv2DBackpropInput.cppinclude / moco / IR / Nodes / TFConv2DBackpropInput.h
    DepthwiseConv2dNative.cppinclude / moco / Names.h
    DepthwiseConv2dNative.cppinclude / moco / IR / Nodes / TFDepthwiseConv2dNative.h
    FakeQuantWithMinMaxVars.cppinclude / moco / Names.h
    FakeQuantWithMinMaxVars.cppinclude / moco / IR / Nodes / TFFakeQuantWithMinMaxVars.h
    FusedBatchNorm.cppinclude / moco / IR / Nodes / TFFusedBatchNorm.h
    Identity.cppinclude / moco / Names.h
    Identity.cppinclude / moco / IR / Nodes / TFIdentity.h
    Maximum.cppinclude / moco / IR / Nodes / TFMaximum.h
    MaxPool.cppinclude / moco / Names.h
    MaxPool.cppinclude / moco / IR / Nodes / TFMaxPool.h
    Mean.cppinclude / moco / IR / Nodes / TFMean.h
    Mul.cppinclude / moco / IR / Nodes / TFMul.h
    Pack.cppinclude / moco / Names.h
    Pack.cppinclude / moco / IR / Nodes / TFConst.h
    Pack.cppinclude / moco / IR / Nodes / TFPack.h
    Pad.cppinclude / moco / IR / Nodes / TFPad.h
    Placeholder.cppinclude / moco / Names.h
    Placeholder.cppinclude / moco / IR / Nodes / TFPlaceholder.h
    RealDiv.cppinclude / moco / IR / Nodes / TFRealDiv.h
    Relu.cppinclude / moco / Names.h
    Relu.cppinclude / moco / IR / Nodes / TFRelu.h
    Relu6.cppinclude / moco / IR / Nodes / TFRelu6.h
    Reshape.cppinclude / moco / Names.h
    Reshape.cppinclude / moco / IR / Nodes / TFReshape.h
    Rsqrt.cppinclude / moco / IR / Nodes / TFRsqrt.h
    Shape.cppinclude / moco / IR / Nodes / TFShape.h
    Softmax.cppinclude / moco / IR / Nodes / TFSoftmax.h
    Sqrt.cppinclude / moco / IR / Nodes / TFSqrt.h
    SquaredDifference.cppinclude / moco / IR / Nodes / TFSquaredDifference.h
    Squeeze.cppinclude / moco / Names.h
    Squeeze.cppinclude / moco / IR / Nodes / TFSqueeze.h
    StopGradient.cppinclude / moco / IR / Nodes / TFStopGradient.h
    StridedSlice.cppinclude / moco / Names.h
    StridedSlice.cppinclude / moco / IR / Nodes / TFConst.h
    StridedSlice.cppinclude / moco / IR / Nodes / TFStridedSlice.h
    Sub.cppinclude / moco / IR / Nodes / TFSub.h
    Tanh.cppinclude / moco / IR / Nodes / TFTanh.h
    +
    + + + + diff --git a/dir_000637_000455.html b/dir_000637_000455.html index 854f67c0eda..d5458922ba6 100644 --- a/dir_000637_000455.html +++ b/dir_000637_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/lang/include/moco/IR/Nodes -> loco Relation +ONE - On-device Neural Engine: compiler/moco/import/src/Nodes -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Nodes → loco Relation

    File in compiler/moco/lang/include/moco/IR/NodesIncludes file in compiler/loco
    TFConst.hinclude / loco / IR / DataTypeTraits.h
    TFConst.hinclude / loco / IR / NodeMixins.h
    TFConst.hinclude / loco / IR / TensorShape.h
    TFPlaceholder.hinclude / loco / IR / DataTypeTraits.h
    TFPlaceholder.hinclude / loco / IR / GraphInputIndex.h
    TFPlaceholder.hinclude / loco / IR / NodeMixins.h
    TFPlaceholder.hinclude / loco / IR / TensorShape.h
    TFPush.hinclude / loco.h
    TFShape.hinclude / loco / IR / NodeMixins.h
    +

    Nodes → loco Relation

    File in compiler/moco/import/src/NodesIncludes file in compiler/loco
    Add.cppinclude / loco.h
    AvgPool.cppinclude / loco / IR / PermutingCodec.h
    BiasAdd.cppinclude / loco.h
    BiasAdd.cppinclude / loco / IR / PermutingCodec.h
    Concat.cppinclude / loco.h
    Const.cppinclude / loco.h
    Conv2D.cppinclude / loco.h
    Conv2D.cppinclude / loco / IR / PermutingCodec.h
    Conv2DBackpropInput.cppinclude / loco.h
    DepthwiseConv2dNative.cppinclude / loco / IR / PermutingCodec.h
    FakeQuantWithMinMaxVars.cppinclude / loco / IR / PermutingCodec.h
    FusedBatchNorm.cppinclude / loco.h
    Identity.cppinclude / loco.h
    Maximum.cppinclude / loco.h
    MaxPool.cppinclude / loco.h
    MaxPool.cppinclude / loco / IR / PermutingCodec.h
    Mean.cppinclude / loco.h
    Mul.cppinclude / loco.h
    Pack.cppinclude / loco.h
    Pack.cppinclude / loco / IR / NodeShape.h
    Pad.cppinclude / loco.h
    RealDiv.cppinclude / loco.h
    Relu.cppinclude / loco.h
    Reshape.cppinclude / loco.h
    Rsqrt.cppinclude / loco.h
    Shape.cppinclude / loco.h
    Softmax.cppinclude / loco.h
    Sqrt.cppinclude / loco.h
    SquaredDifference.cppinclude / loco.h
    Squeeze.cppinclude / loco.h
    StopGradient.cppinclude / loco.h
    StridedSlice.cppinclude / loco.h
    Sub.cppinclude / loco.h
    Tanh.cppinclude / loco.h
    diff --git a/dir_000636_000656.html b/dir_000637_000657.html similarity index 71% rename from dir_000636_000656.html rename to dir_000637_000657.html index b4a31b299d7..d2bab89b991 100644 --- a/dir_000636_000656.html +++ b/dir_000637_000657.html @@ -89,7 +89,7 @@ +

    Nodes → oops Relation

    File in compiler/moco/import/src/NodesIncludes file in compiler/oops
    AvgPool.cppinclude / oops / UserExn.h
    BiasAdd.cppinclude / oops / UserExn.h
    Const.cppinclude / oops / UserExn.h
    Conv2D.cppinclude / oops / UserExn.h
    Conv2DBackpropInput.cppinclude / oops / UserExn.h
    DepthwiseConv2dNative.cppinclude / oops / UserExn.h
    MaxPool.cppinclude / oops / UserExn.h
    Squeeze.cppinclude / oops / UserExn.h
    StridedSlice.cppinclude / oops / UserExn.h
    +

    Nodes → plier-tf Relation

    File in compiler/moco/import/src/NodesIncludes file in compiler/plier-tf
    AvgPool.cppinclude / plier / tf / Convert.h
    BiasAdd.cppinclude / plier / tf / Convert.h
    Concat.cppinclude / plier / tf / Convert.h
    Const.cppinclude / plier / tf / Convert.h
    Conv2D.cppinclude / plier / tf / Convert.h
    Conv2DBackpropInput.cppinclude / plier / tf / Convert.h
    DepthwiseConv2dNative.cppinclude / plier / tf / Convert.h
    FakeQuantWithMinMaxVars.cppinclude / plier / tf / Convert.h
    FusedBatchNorm.cppinclude / plier / tf / Convert.h
    MaxPool.cppinclude / plier / tf / Convert.h
    Mean.cppinclude / plier / tf / Convert.h
    Pack.cppinclude / plier / tf / Convert.h
    Pad.cppinclude / plier / tf / Convert.h
    Placeholder.cppinclude / plier / tf / Convert.h
    Reshape.cppinclude / plier / tf / Convert.h
    Shape.cppinclude / plier / tf / Convert.h
    Softmax.cppinclude / plier / tf / Convert.h
    Squeeze.cppinclude / plier / tf / Convert.h
    StopGradient.cppinclude / plier / tf / Convert.h
    StridedSlice.cppinclude / plier / tf / Convert.h
    @@ -89,12 +89,12 @@
    -

    onnx2tflite → exo Relation

    File in compiler/onnx2tfliteIncludes file in compiler/exo
    src / Driver.cppinclude / exo / TFLExporter.h
    +

    onnx2circle → exo Relation

    File in compiler/onnx2circleIncludes file in compiler/exo
    src / onnx2circle.cppinclude / exo / LoggingContext.h
    src / onnx2circle.cppinclude / exo / CircleExporter.h
    diff --git a/dir_000653_000272.html b/dir_000654_000272.html similarity index 100% rename from dir_000653_000272.html rename to dir_000654_000272.html diff --git a/dir_000653_000461.html b/dir_000654_000461.html similarity index 100% rename from dir_000653_000461.html rename to dir_000654_000461.html diff --git a/dir_000653_000542.html b/dir_000654_000543.html similarity index 100% rename from dir_000653_000542.html rename to dir_000654_000543.html diff --git a/dir_000653_000545.html b/dir_000654_000546.html similarity index 100% rename from dir_000653_000545.html rename to dir_000654_000546.html diff --git a/dir_000712_000352.html b/dir_000655_000224.html similarity index 79% rename from dir_000712_000352.html rename to dir_000655_000224.html index 605ef1490a7..519e6cabee2 100644 --- a/dir_000712_000352.html +++ b/dir_000655_000224.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnc/pass -> include Relation +ONE - On-device Neural Engine: compiler/onnx2tflite -> exo Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    pass → include Relation

    File in compiler/nnc/passIncludes file in compiler/nnc/include
    PassManager.cpppass / PassManager.h
    +

    onnx2tflite → exo Relation

    File in compiler/onnx2tfliteIncludes file in compiler/exo
    src / Driver.cppinclude / exo / TFLExporter.h
    diff --git a/dir_000654_000542.html b/dir_000655_000543.html similarity index 100% rename from dir_000654_000542.html rename to dir_000655_000543.html diff --git a/dir_000654_000545.html b/dir_000655_000546.html similarity index 100% rename from dir_000654_000545.html rename to dir_000655_000546.html diff --git a/dir_000655_000105.html b/dir_000656_000105.html similarity index 93% rename from dir_000655_000105.html rename to dir_000656_000105.html index f419ad6bb69..8c90f9be686 100644 --- a/dir_000655_000105.html +++ b/dir_000656_000105.html @@ -89,7 +89,7 @@
    -

    onnxkit → cli Relation

    File in compiler/onnxkitIncludes file in compiler/cli
    src / DecodeCommand.hppinclude / cli / Command.h
    src / EncodeCommand.hppinclude / cli / Command.h
    src / Main.cppinclude / cli / App.h
    +

    onnxkit → cli Relation

    File in compiler/onnxkitIncludes file in compiler/cli
    src / DecodeCommand.hppinclude / cli / Command.h
    src / EncodeCommand.hppinclude / cli / Command.h
    src / Main.cppinclude / cli / App.h
    -

    Op → angkor Relation

    File in compiler/enco/frontend/tflite/src/OpIncludes file in compiler/angkor
    Activation.cppinclude / nncc / core / ADT / tensor / Shape.h
    AveragePool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Concatenation.cppinclude / nncc / core / ADT / tensor / Shape.h
    Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Div.cppinclude / nncc / core / ADT / tensor / Shape.h
    MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Padding.cppinclude / nncc / core / ADT / tensor / Shape.h
    Padding.hinclude / nncc / core / ADT / tensor / Shape.h
    ReLU.cppinclude / nncc / core / ADT / tensor / Shape.h
    ReLU6.cppinclude / nncc / core / ADT / tensor / Shape.h
    Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    Sub.cppinclude / nncc / core / ADT / tensor / Shape.h
    +

    Op → angkor Relation

    File in compiler/enco/frontend/tflite/src/OpIncludes file in compiler/angkor
    Activation.cppinclude / nncc / core / ADT / tensor / Shape.h
    AveragePool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Concatenation.cppinclude / nncc / core / ADT / tensor / Shape.h
    Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Div.cppinclude / nncc / core / ADT / tensor / Shape.h
    MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Padding.cppinclude / nncc / core / ADT / tensor / Shape.h
    Padding.hinclude / nncc / core / ADT / tensor / Shape.h
    ReLU.cppinclude / nncc / core / ADT / tensor / Shape.h
    ReLU6.cppinclude / nncc / core / ADT / tensor / Shape.h
    Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    Sub.cppinclude / nncc / core / ADT / tensor / Shape.h
    -

    Op → coco Relation

    File in compiler/enco/frontend/tflite/src/OpIncludes file in compiler/coco
    Activation.cppcore / include / coco / IR / FeatureLayouts.h
    Activation.cppcore / include / coco / IR / Module.h
    Activation.hcore / include / coco / IR / Block.h
    Activation.hcore / include / coco / IR / FeatureObject.h
    AveragePool2D.cppcore / include / coco / IR / FeatureLayouts.h
    AveragePool2D.cppcore / include / coco / IR / Module.h
    Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    Concatenation.cppcore / include / coco / IR / Module.h
    Conv2D.cppcore / include / coco / IR / FeatureLayouts.h
    Conv2D.cppcore / include / coco / IR / KernelLayouts.h
    Conv2D.cppcore / include / coco / IR / Module.h
    DepthwiseConv2D.cppcore / include / coco / IR / FeatureLayouts.h
    DepthwiseConv2D.cppcore / include / coco / IR / KernelLayouts.h
    DepthwiseConv2D.cppcore / include / coco / IR / Module.h
    Div.cppcore / include / coco / IR / FeatureLayouts.h
    Div.cppcore / include / coco / IR / Module.h
    MaxPool2D.cppcore / include / coco / IR / FeatureLayouts.h
    MaxPool2D.cppcore / include / coco / IR / Module.h
    Padding.cppgeneric / include / coco / IR / Data.h
    Padding.cppcore / include / coco / IR / Module.h
    Padding.hcore / include / coco / IR / Padding2D.h
    ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    ReLU.cppcore / include / coco / IR / Module.h
    ReLU6.cppcore / include / coco / IR / FeatureLayouts.h
    ReLU6.cppcore / include / coco / IR / Module.h
    Reshape.cppcore / include / coco / IR / FeatureLayouts.h
    Reshape.cppcore / include / coco / IR / Module.h
    Sub.cppcore / include / coco / IR / FeatureLayouts.h
    Sub.cppcore / include / coco / IR / Module.h
    +

    Op → coco Relation

    File in compiler/enco/frontend/tflite/src/OpIncludes file in compiler/coco
    Activation.cppcore / include / coco / IR / FeatureLayouts.h
    Activation.cppcore / include / coco / IR / Module.h
    Activation.hcore / include / coco / IR / Block.h
    Activation.hcore / include / coco / IR / FeatureObject.h
    AveragePool2D.cppcore / include / coco / IR / FeatureLayouts.h
    AveragePool2D.cppcore / include / coco / IR / Module.h
    Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    Concatenation.cppcore / include / coco / IR / Module.h
    Conv2D.cppcore / include / coco / IR / FeatureLayouts.h
    Conv2D.cppcore / include / coco / IR / KernelLayouts.h
    Conv2D.cppcore / include / coco / IR / Module.h
    DepthwiseConv2D.cppcore / include / coco / IR / FeatureLayouts.h
    DepthwiseConv2D.cppcore / include / coco / IR / KernelLayouts.h
    DepthwiseConv2D.cppcore / include / coco / IR / Module.h
    Div.cppcore / include / coco / IR / FeatureLayouts.h
    Div.cppcore / include / coco / IR / Module.h
    MaxPool2D.cppcore / include / coco / IR / FeatureLayouts.h
    MaxPool2D.cppcore / include / coco / IR / Module.h
    Padding.cppgeneric / include / coco / IR / Data.h
    Padding.cppcore / include / coco / IR / Module.h
    Padding.hcore / include / coco / IR / Padding2D.h
    ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    ReLU.cppcore / include / coco / IR / Module.h
    ReLU6.cppcore / include / coco / IR / FeatureLayouts.h
    ReLU6.cppcore / include / coco / IR / Module.h
    Reshape.cppcore / include / coco / IR / FeatureLayouts.h
    Reshape.cppcore / include / coco / IR / Module.h
    Sub.cppcore / include / coco / IR / FeatureLayouts.h
    Sub.cppcore / include / coco / IR / Module.h
    -

    Op → morph Relation

    File in compiler/enco/frontend/tflite/src/OpIncludes file in compiler/morph
    AveragePool2D.cppinclude / morph / tflite.h
    Conv2D.cppinclude / morph / tflite.h
    DepthwiseConv2D.cppinclude / morph / tflite.h
    Div.cppinclude / morph / tflite.h
    MaxPool2D.cppinclude / morph / tflite.h
    ReLU.cppinclude / morph / tflite.h
    ReLU6.cppinclude / morph / tflite.h
    Reshape.cppinclude / morph / tflite.h
    Sub.cppinclude / morph / tflite.h
    +

    Op → morph Relation

    File in compiler/enco/frontend/tflite/src/OpIncludes file in compiler/morph
    AveragePool2D.cppinclude / morph / tflite.h
    Conv2D.cppinclude / morph / tflite.h
    DepthwiseConv2D.cppinclude / morph / tflite.h
    Div.cppinclude / morph / tflite.h
    MaxPool2D.cppinclude / morph / tflite.h
    ReLU.cppinclude / morph / tflite.h
    ReLU6.cppinclude / morph / tflite.h
    Reshape.cppinclude / morph / tflite.h
    Sub.cppinclude / morph / tflite.h
    @@ -89,12 +89,12 @@
    -

    operand → acl_common Relation

    File in runtime/onert/backend/acl_neon/operandIncludes file in runtime/onert/backend/acl_common
    INETensor.hIACLTensor.h
    +

    operand → acl_common Relation

    File in runtime/onert/backend/acl_cl/operandIncludes file in runtime/onert/backend/acl_common
    ICLTensor.hIACLTensor.h
    diff --git a/dir_000666_000004.html b/dir_000668_000004.html similarity index 85% rename from dir_000666_000004.html rename to dir_000668_000004.html index ac1305901dc..a457aca998b 100644 --- a/dir_000666_000004.html +++ b/dir_000668_000004.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/backend/acl_cl/operand -> acl_common Relation +ONE - On-device Neural Engine: runtime/onert/backend/acl_neon/operand -> acl_common Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    operand → acl_common Relation

    File in runtime/onert/backend/acl_cl/operandIncludes file in runtime/onert/backend/acl_common
    ICLTensor.hIACLTensor.h
    +

    operand → acl_common Relation

    File in runtime/onert/backend/acl_neon/operandIncludes file in runtime/onert/backend/acl_common
    INETensor.hIACLTensor.h
    diff --git a/dir_000668_000159.html b/dir_000669_000159.html similarity index 100% rename from dir_000668_000159.html rename to dir_000669_000159.html diff --git a/dir_000669_000206.html b/dir_000669_000206.html deleted file mode 100644 index 2bf9ff2ba68..00000000000 --- a/dir_000669_000206.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compute/cker/include/cker/operation -> eigen Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - - - - - - diff --git a/dir_000669_000121.html b/dir_000670_000121.html similarity index 100% rename from dir_000669_000121.html rename to dir_000670_000121.html diff --git a/dir_000670_000206.html b/dir_000670_000206.html index 7a35983357c..2bf9ff2ba68 100644 --- a/dir_000670_000206.html +++ b/dir_000670_000206.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compute/cker/include/cker/train/operation -> eigen Relation +ONE - On-device Neural Engine: compute/cker/include/cker/operation -> eigen Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    operation → eigen Relation

    File in compute/cker/include/cker/operationIncludes file in compute/cker/include/cker/eigen
    AveragePool.hUtils.h
    Helper / BCast.hEigenSupport.h
    BroadcastTo.hEigenSupport.h
    Elementwise.hUtils.h
    Logistic.hUtils.h
    LogSoftMax.hUtils.h
    MaxPool.hUtils.h
    Helper / RandomDistributions.hEigenSupport.h
    Helper / RandomOpCpu.hEigenSupport.h
    ReLU.hUtils.h
    ReLU6.hUtils.h
    SoftMax.hUtils.h
    StatelessRandomUniform.hEigenSupport.h
    Tanh.hUtils.h
    Helper / Tensor.hEigenSupport.h
    optimized / Conv.hEigenSupport.h
    optimized / Conv.hUtils.h
    optimized / Gemm.heigen_gemm_eigen.h
    diff --git a/dir_000669_000257.html b/dir_000670_000257.html similarity index 100% rename from dir_000669_000257.html rename to dir_000670_000257.html diff --git a/dir_000669_000266.html b/dir_000670_000266.html similarity index 100% rename from dir_000669_000266.html rename to dir_000670_000266.html diff --git a/dir_000669_000586.html b/dir_000670_000587.html similarity index 100% rename from dir_000669_000586.html rename to dir_000670_000587.html diff --git a/dir_000669_000690.html b/dir_000670_000691.html similarity index 100% rename from dir_000669_000690.html rename to dir_000670_000691.html diff --git a/dir_000669_000763.html b/dir_000670_000764.html similarity index 100% rename from dir_000669_000763.html rename to dir_000670_000764.html diff --git a/dir_000671_000206.html b/dir_000671_000206.html new file mode 100644 index 00000000000..7a35983357c --- /dev/null +++ b/dir_000671_000206.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compute/cker/include/cker/train/operation -> eigen Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + + +
    + + + + diff --git a/dir_000670_000669.html b/dir_000671_000670.html similarity index 100% rename from dir_000670_000669.html rename to dir_000671_000670.html diff --git a/dir_000674_000404.html b/dir_000674_000404.html deleted file mode 100644 index a310c5f081b..00000000000 --- a/dir_000674_000404.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: runtime/onert/core/src/ir/operation -> include Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    operation → include Relation

    File in runtime/onert/core/src/ir/operationIncludes file in runtime/onert/core/include
    AddN.ccir / operation / AddN.h
    AddN.ccir / OperationVisitor.h
    ArgMinMax.ccir / operation / ArgMinMax.h
    ArgMinMax.ccir / OperationVisitor.h
    BatchMatMul.ccir / operation / BatchMatMul.h
    BatchMatMul.ccir / OperationVisitor.h
    BatchToSpaceND.ccir / operation / BatchToSpaceND.h
    BatchToSpaceND.ccir / OperationVisitor.h
    BCQFullyConnected.ccir / operation / BCQFullyConnected.h
    BCQFullyConnected.ccir / OperationVisitor.h
    BCQGather.ccir / operation / BCQGather.h
    BCQGather.ccir / OperationVisitor.h
    BinaryArithmetic.ccir / operation / BinaryArithmetic.h
    BinaryArithmetic.ccir / OperationVisitor.h
    BroadcastTo.ccir / operation / BroadcastTo.h
    BroadcastTo.ccir / OperationVisitor.h
    Bulk.ccir / operation / Bulk.h
    Bulk.ccir / OperationVisitor.h
    Comparison.ccir / operation / Comparison.h
    Comparison.ccir / OperationVisitor.h
    Concat.ccir / operation / Concat.h
    Concat.ccir / OperationVisitor.h
    Conv2D.ccir / operation / Conv2D.h
    Conv2D.ccir / OperationVisitor.h
    ConvertFp16ToFp32.ccir / operation / ConvertFp16ToFp32.h
    ConvertFp16ToFp32.ccir / OperationVisitor.h
    ConvertFp32ToFp16.ccir / operation / ConvertFp32ToFp16.h
    ConvertFp32ToFp16.ccir / OperationVisitor.h
    Custom.ccir / operation / Custom.h
    Custom.ccir / OperationVisitor.h
    DepthToSpace.ccir / operation / DepthToSpace.h
    DepthToSpace.ccir / OperationVisitor.h
    DepthwiseConv2D.ccir / operation / DepthwiseConv2D.h
    DepthwiseConv2D.ccir / OperationVisitor.h
    DetectionPostProcess.ccir / operation / DetectionPostProcess.h
    DetectionPostProcess.ccir / OperationVisitor.h
    Einsum.ccir / operation / Einsum.h
    Einsum.ccir / OperationVisitor.h
    ElementwiseActivation.ccir / operation / ElementwiseActivation.h
    ElementwiseActivation.ccir / OperationVisitor.h
    ElementwiseBinary.ccir / operation / ElementwiseBinary.h
    ElementwiseBinary.ccir / OperationVisitor.h
    ElementwiseUnary.ccir / operation / ElementwiseUnary.h
    ElementwiseUnary.ccir / OperationVisitor.h
    EmbeddingLookup.ccir / operation / EmbeddingLookup.h
    EmbeddingLookup.ccir / OperationVisitor.h
    ExpandDims.ccir / operation / ExpandDims.h
    ExpandDims.ccir / OperationVisitor.h
    Fill.ccir / operation / Fill.h
    Fill.ccir / OperationVisitor.h
    FullyConnected.ccir / operation / FullyConnected.h
    FullyConnected.ccir / OperationVisitor.h
    FusedBatchNorm.ccir / operation / FusedBatchNorm.h
    FusedBatchNorm.ccir / OperationVisitor.h
    Gather.ccir / operation / Gather.h
    Gather.ccir / OperationVisitor.h
    HashtableLookup.ccir / operation / HashtableLookup.h
    HashtableLookup.ccir / OperationVisitor.h
    If.ccir / operation / If.h
    If.ccir / OperationVisitor.h
    InstanceNorm.ccir / operation / InstanceNorm.h
    InstanceNorm.ccir / OperationVisitor.h
    L2Normalization.ccir / operation / L2Normalization.h
    L2Normalization.ccir / OperationVisitor.h
    LocalResponseNormalization.ccir / operation / LocalResponseNormalization.h
    LocalResponseNormalization.ccir / OperationVisitor.h
    LogSoftmax.ccir / operation / LogSoftmax.h
    LogSoftmax.ccir / OperationVisitor.h
    Loss.ccir / operation / Loss.h
    Loss.ccir / OperationVisitor.h
    LSTM.ccir / operation / LSTM.h
    LSTM.ccir / OperationVisitor.h
    MatrixBandPart.ccir / operation / MatrixBandPart.h
    MatrixBandPart.ccir / OperationVisitor.h
    OneHot.ccir / operation / OneHot.h
    OneHot.ccir / OperationVisitor.h
    Pack.ccir / OperationVisitor.h
    Pack.ccir / operation / Pack.h
    Pad.ccir / OperationVisitor.h
    Pad.ccir / operation / Pad.h
    Permute.ccir / OperationVisitor.h
    Permute.ccir / operation / Permute.h
    Pool2D.ccir / OperationVisitor.h
    Pool2D.ccir / operation / Pool2D.h
    Pow.ccir / OperationVisitor.h
    Pow.ccir / operation / Pow.h
    PReLU.ccir / OperationVisitor.h
    PReLU.ccir / operation / PReLU.h
    Range.ccir / OperationVisitor.h
    Range.ccir / operation / Range.h
    Rank.ccir / OperationVisitor.h
    Rank.ccir / operation / Rank.h
    Reduce.ccir / OperationVisitor.h
    Reduce.ccir / operation / Reduce.h
    Reshape.ccir / OperationVisitor.h
    Reshape.ccir / operation / Reshape.h
    ResizeBilinear.ccir / OperationVisitor.h
    ResizeBilinear.ccir / operation / ResizeBilinear.h
    ResizeNearestNeighbor.ccir / OperationVisitor.h
    ResizeNearestNeighbor.ccir / operation / ResizeNearestNeighbor.h
    Reverse.ccir / OperationVisitor.h
    Reverse.ccir / operation / Reverse.h
    RNN.ccir / OperationVisitor.h
    RNN.ccir / operation / RNN.h
    Select.ccir / OperationVisitor.h
    Select.ccir / operation / Select.h
    Shape.ccir / OperationVisitor.h
    Shape.ccir / operation / Shape.h
    Slice.ccir / OperationVisitor.h
    Slice.ccir / operation / Slice.h
    Softmax.ccir / OperationVisitor.h
    Softmax.ccir / operation / Softmax.h
    SpaceToBatchND.ccir / OperationVisitor.h
    SpaceToBatchND.ccir / operation / SpaceToBatchND.h
    SpaceToDepth.ccir / OperationVisitor.h
    SpaceToDepth.ccir / operation / SpaceToDepth.h
    Split.ccir / OperationVisitor.h
    Split.ccir / operation / Split.h
    SplitV.ccir / OperationVisitor.h
    SplitV.ccir / operation / SplitV.h
    SquaredDifference.ccir / OperationVisitor.h
    SquaredDifference.ccir / operation / SquaredDifference.h
    Squeeze.ccir / OperationVisitor.h
    Squeeze.ccir / operation / Squeeze.h
    StatelessRandomUniform.ccir / OperationVisitor.h
    StatelessRandomUniform.ccir / operation / StatelessRandomUniform.h
    StridedSlice.ccir / OperationVisitor.h
    StridedSlice.ccir / operation / StridedSlice.h
    Tile.ccir / OperationVisitor.h
    Tile.ccir / operation / Tile.h
    TopKV2.ccir / OperationVisitor.h
    TopKV2.ccir / operation / TopKV2.h
    Transpose.ccir / OperationVisitor.h
    Transpose.ccir / operation / Transpose.h
    TransposeConv.ccir / OperationVisitor.h
    TransposeConv.ccir / operation / TransposeConv.h
    Unpack.ccir / OperationVisitor.h
    Unpack.ccir / operation / Unpack.h
    While.ccir / OperationVisitor.h
    While.ccir / operation / While.h
    -
    - - - - diff --git a/dir_000673_000672.html b/dir_000674_000673.html similarity index 100% rename from dir_000673_000672.html rename to dir_000674_000673.html diff --git a/dir_000675_000404.html b/dir_000675_000404.html index c34ef71f9d0..a310c5f081b 100644 --- a/dir_000675_000404.html +++ b/dir_000675_000404.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/core/src/ir/train/operation -> include Relation +ONE - On-device Neural Engine: runtime/onert/core/src/ir/operation -> include Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    operation → include Relation

    File in runtime/onert/core/src/ir/train/operationIncludes file in runtime/onert/core/include
    BinaryArithmetic.ccir / train / operation / BinaryArithmetic.h
    BinaryArithmetic.ccir / OperationVisitor.h
    BinaryArithmetic.ccir / train / TrainableOperationVisitor.h
    Conv2D.ccir / train / operation / Conv2D.h
    Conv2D.ccir / OperationVisitor.h
    Conv2D.ccir / train / TrainableOperationVisitor.h
    DepthwiseConv2D.ccir / train / operation / DepthwiseConv2D.h
    DepthwiseConv2D.ccir / OperationVisitor.h
    DepthwiseConv2D.ccir / train / TrainableOperationVisitor.h
    ElementwiseActivation.ccir / train / operation / ElementwiseActivation.h
    ElementwiseActivation.ccir / OperationVisitor.h
    ElementwiseActivation.ccir / train / TrainableOperationVisitor.h
    FullyConnected.ccir / train / operation / FullyConnected.h
    FullyConnected.ccir / OperationVisitor.h
    FullyConnected.ccir / train / TrainableOperationVisitor.h
    Loss.ccir / train / operation / Loss.h
    Loss.ccir / OperationVisitor.h
    Loss.ccir / train / TrainableOperationVisitor.h
    Pad.ccir / OperationVisitor.h
    Pad.ccir / train / operation / Pad.h
    Pad.ccir / train / TrainableOperationVisitor.h
    Permute.ccir / OperationVisitor.h
    Permute.ccir / train / operation / Permute.h
    Permute.ccir / train / TrainableOperationVisitor.h
    Pool2D.ccir / OperationVisitor.h
    Pool2D.ccir / train / operation / Pool2D.h
    Pool2D.ccir / train / TrainableOperationVisitor.h
    Reduce.ccir / OperationVisitor.h
    Reduce.ccir / train / operation / Reduce.h
    Reduce.ccir / train / TrainableOperationVisitor.h
    Reshape.ccir / OperationVisitor.h
    Reshape.ccir / train / operation / Reshape.h
    Reshape.ccir / train / TrainableOperationVisitor.h
    Softmax.ccir / OperationVisitor.h
    Softmax.ccir / train / operation / Softmax.h
    Softmax.ccir / train / TrainableOperationVisitor.h
    +

    operation → include Relation

    File in runtime/onert/core/src/ir/operationIncludes file in runtime/onert/core/include
    AddN.ccir / operation / AddN.h
    AddN.ccir / OperationVisitor.h
    ArgMinMax.ccir / operation / ArgMinMax.h
    ArgMinMax.ccir / OperationVisitor.h
    BatchMatMul.ccir / operation / BatchMatMul.h
    BatchMatMul.ccir / OperationVisitor.h
    BatchToSpaceND.ccir / operation / BatchToSpaceND.h
    BatchToSpaceND.ccir / OperationVisitor.h
    BCQFullyConnected.ccir / operation / BCQFullyConnected.h
    BCQFullyConnected.ccir / OperationVisitor.h
    BCQGather.ccir / operation / BCQGather.h
    BCQGather.ccir / OperationVisitor.h
    BinaryArithmetic.ccir / operation / BinaryArithmetic.h
    BinaryArithmetic.ccir / OperationVisitor.h
    BroadcastTo.ccir / operation / BroadcastTo.h
    BroadcastTo.ccir / OperationVisitor.h
    Bulk.ccir / operation / Bulk.h
    Bulk.ccir / OperationVisitor.h
    Comparison.ccir / operation / Comparison.h
    Comparison.ccir / OperationVisitor.h
    Concat.ccir / operation / Concat.h
    Concat.ccir / OperationVisitor.h
    Conv2D.ccir / operation / Conv2D.h
    Conv2D.ccir / OperationVisitor.h
    ConvertFp16ToFp32.ccir / operation / ConvertFp16ToFp32.h
    ConvertFp16ToFp32.ccir / OperationVisitor.h
    ConvertFp32ToFp16.ccir / operation / ConvertFp32ToFp16.h
    ConvertFp32ToFp16.ccir / OperationVisitor.h
    Custom.ccir / operation / Custom.h
    Custom.ccir / OperationVisitor.h
    DepthToSpace.ccir / operation / DepthToSpace.h
    DepthToSpace.ccir / OperationVisitor.h
    DepthwiseConv2D.ccir / operation / DepthwiseConv2D.h
    DepthwiseConv2D.ccir / OperationVisitor.h
    DetectionPostProcess.ccir / operation / DetectionPostProcess.h
    DetectionPostProcess.ccir / OperationVisitor.h
    Einsum.ccir / operation / Einsum.h
    Einsum.ccir / OperationVisitor.h
    ElementwiseActivation.ccir / operation / ElementwiseActivation.h
    ElementwiseActivation.ccir / OperationVisitor.h
    ElementwiseBinary.ccir / operation / ElementwiseBinary.h
    ElementwiseBinary.ccir / OperationVisitor.h
    ElementwiseUnary.ccir / operation / ElementwiseUnary.h
    ElementwiseUnary.ccir / OperationVisitor.h
    EmbeddingLookup.ccir / operation / EmbeddingLookup.h
    EmbeddingLookup.ccir / OperationVisitor.h
    ExpandDims.ccir / operation / ExpandDims.h
    ExpandDims.ccir / OperationVisitor.h
    Fill.ccir / operation / Fill.h
    Fill.ccir / OperationVisitor.h
    FullyConnected.ccir / operation / FullyConnected.h
    FullyConnected.ccir / OperationVisitor.h
    FusedBatchNorm.ccir / operation / FusedBatchNorm.h
    FusedBatchNorm.ccir / OperationVisitor.h
    Gather.ccir / operation / Gather.h
    Gather.ccir / OperationVisitor.h
    HashtableLookup.ccir / operation / HashtableLookup.h
    HashtableLookup.ccir / OperationVisitor.h
    If.ccir / operation / If.h
    If.ccir / OperationVisitor.h
    InstanceNorm.ccir / operation / InstanceNorm.h
    InstanceNorm.ccir / OperationVisitor.h
    L2Normalization.ccir / operation / L2Normalization.h
    L2Normalization.ccir / OperationVisitor.h
    LocalResponseNormalization.ccir / operation / LocalResponseNormalization.h
    LocalResponseNormalization.ccir / OperationVisitor.h
    LogSoftmax.ccir / operation / LogSoftmax.h
    LogSoftmax.ccir / OperationVisitor.h
    Loss.ccir / operation / Loss.h
    Loss.ccir / OperationVisitor.h
    LSTM.ccir / operation / LSTM.h
    LSTM.ccir / OperationVisitor.h
    MatrixBandPart.ccir / operation / MatrixBandPart.h
    MatrixBandPart.ccir / OperationVisitor.h
    OneHot.ccir / operation / OneHot.h
    OneHot.ccir / OperationVisitor.h
    Pack.ccir / OperationVisitor.h
    Pack.ccir / operation / Pack.h
    Pad.ccir / OperationVisitor.h
    Pad.ccir / operation / Pad.h
    Permute.ccir / OperationVisitor.h
    Permute.ccir / operation / Permute.h
    Pool2D.ccir / OperationVisitor.h
    Pool2D.ccir / operation / Pool2D.h
    Pow.ccir / OperationVisitor.h
    Pow.ccir / operation / Pow.h
    PReLU.ccir / OperationVisitor.h
    PReLU.ccir / operation / PReLU.h
    Range.ccir / OperationVisitor.h
    Range.ccir / operation / Range.h
    Rank.ccir / OperationVisitor.h
    Rank.ccir / operation / Rank.h
    Reduce.ccir / OperationVisitor.h
    Reduce.ccir / operation / Reduce.h
    Reshape.ccir / OperationVisitor.h
    Reshape.ccir / operation / Reshape.h
    ResizeBilinear.ccir / OperationVisitor.h
    ResizeBilinear.ccir / operation / ResizeBilinear.h
    ResizeNearestNeighbor.ccir / OperationVisitor.h
    ResizeNearestNeighbor.ccir / operation / ResizeNearestNeighbor.h
    Reverse.ccir / OperationVisitor.h
    Reverse.ccir / operation / Reverse.h
    RNN.ccir / OperationVisitor.h
    RNN.ccir / operation / RNN.h
    Select.ccir / OperationVisitor.h
    Select.ccir / operation / Select.h
    Shape.ccir / OperationVisitor.h
    Shape.ccir / operation / Shape.h
    Slice.ccir / OperationVisitor.h
    Slice.ccir / operation / Slice.h
    Softmax.ccir / OperationVisitor.h
    Softmax.ccir / operation / Softmax.h
    SpaceToBatchND.ccir / OperationVisitor.h
    SpaceToBatchND.ccir / operation / SpaceToBatchND.h
    SpaceToDepth.ccir / OperationVisitor.h
    SpaceToDepth.ccir / operation / SpaceToDepth.h
    Split.ccir / OperationVisitor.h
    Split.ccir / operation / Split.h
    SplitV.ccir / OperationVisitor.h
    SplitV.ccir / operation / SplitV.h
    SquaredDifference.ccir / OperationVisitor.h
    SquaredDifference.ccir / operation / SquaredDifference.h
    Squeeze.ccir / OperationVisitor.h
    Squeeze.ccir / operation / Squeeze.h
    StatelessRandomUniform.ccir / OperationVisitor.h
    StatelessRandomUniform.ccir / operation / StatelessRandomUniform.h
    StridedSlice.ccir / OperationVisitor.h
    StridedSlice.ccir / operation / StridedSlice.h
    Tile.ccir / OperationVisitor.h
    Tile.ccir / operation / Tile.h
    TopKV2.ccir / OperationVisitor.h
    TopKV2.ccir / operation / TopKV2.h
    Transpose.ccir / OperationVisitor.h
    Transpose.ccir / operation / Transpose.h
    TransposeConv.ccir / OperationVisitor.h
    TransposeConv.ccir / operation / TransposeConv.h
    Unpack.ccir / OperationVisitor.h
    Unpack.ccir / operation / Unpack.h
    While.ccir / OperationVisitor.h
    While.ccir / operation / While.h
    diff --git a/dir_000676_000404.html b/dir_000676_000404.html new file mode 100644 index 00000000000..c34ef71f9d0 --- /dev/null +++ b/dir_000676_000404.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: runtime/onert/core/src/ir/train/operation -> include Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
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    + +
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    +
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    operation → include Relation

    File in runtime/onert/core/src/ir/train/operationIncludes file in runtime/onert/core/include
    BinaryArithmetic.ccir / train / operation / BinaryArithmetic.h
    BinaryArithmetic.ccir / OperationVisitor.h
    BinaryArithmetic.ccir / train / TrainableOperationVisitor.h
    Conv2D.ccir / train / operation / Conv2D.h
    Conv2D.ccir / OperationVisitor.h
    Conv2D.ccir / train / TrainableOperationVisitor.h
    DepthwiseConv2D.ccir / train / operation / DepthwiseConv2D.h
    DepthwiseConv2D.ccir / OperationVisitor.h
    DepthwiseConv2D.ccir / train / TrainableOperationVisitor.h
    ElementwiseActivation.ccir / train / operation / ElementwiseActivation.h
    ElementwiseActivation.ccir / OperationVisitor.h
    ElementwiseActivation.ccir / train / TrainableOperationVisitor.h
    FullyConnected.ccir / train / operation / FullyConnected.h
    FullyConnected.ccir / OperationVisitor.h
    FullyConnected.ccir / train / TrainableOperationVisitor.h
    Loss.ccir / train / operation / Loss.h
    Loss.ccir / OperationVisitor.h
    Loss.ccir / train / TrainableOperationVisitor.h
    Pad.ccir / OperationVisitor.h
    Pad.ccir / train / operation / Pad.h
    Pad.ccir / train / TrainableOperationVisitor.h
    Permute.ccir / OperationVisitor.h
    Permute.ccir / train / operation / Permute.h
    Permute.ccir / train / TrainableOperationVisitor.h
    Pool2D.ccir / OperationVisitor.h
    Pool2D.ccir / train / operation / Pool2D.h
    Pool2D.ccir / train / TrainableOperationVisitor.h
    Reduce.ccir / OperationVisitor.h
    Reduce.ccir / train / operation / Reduce.h
    Reduce.ccir / train / TrainableOperationVisitor.h
    Reshape.ccir / OperationVisitor.h
    Reshape.ccir / train / operation / Reshape.h
    Reshape.ccir / train / TrainableOperationVisitor.h
    Softmax.ccir / OperationVisitor.h
    Softmax.ccir / train / operation / Softmax.h
    Softmax.ccir / train / TrainableOperationVisitor.h
    +
    + + + + diff --git a/dir_000676_000409.html b/dir_000676_000409.html deleted file mode 100644 index ec63bb8f56d..00000000000 --- a/dir_000676_000409.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/ann-ref/src/ops -> internal Relation - - - - - - - - - - - - - -
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    ONE - On-device Neural Engine -
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    -
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    ops → internal Relation

    File in compiler/ann-ref/src/opsIncludes file in compiler/ann-ref/src/ops/internal
    Add.float.cppActivationUtils.h
    Add.float.cppArray.h
    Add.float.cppFused.h
    Add.float.cppMatrix.h
    Add.float.cppNDArray.h
    AvgPool2D.cppPooling.h
    AvgPool2D.float.cppActivationUtils.h
    AvgPool2D.float.cppArray.h
    AvgPool2D.float.cppFeatureMap.h
    AvgPool2D.float.cppFused.h
    AvgPool2D.float.cppMatrix.h
    Concatenation.float.cppArray.h
    Concatenation.float.cppFused.h
    Concatenation.float.cppMatrix.h
    Conv2D.cppSpatial.h
    Conv2D.float.cppActivationUtils.h
    Conv2D.float.cppArray.h
    Conv2D.float.cppFused.h
    Conv2D.float.cppGEMM.h
    Conv2D.float.cppMatrix.h
    Conv2D.float.cppSpatial.h
    DepthwiseConv2D.cppSpatial.h
    DepthwiseConv2D.float.cppActivationUtils.h
    DepthwiseConv2D.float.cppArray.h
    DepthwiseConv2D.float.cppFused.h
    DepthwiseConv2D.float.cppSpatial.h
    Div.float.cppActivationUtils.h
    Div.float.cppArray.h
    Div.float.cppFused.h
    Div.float.cppMatrix.h
    Div.float.cppNDArray.h
    FullyConnected.float.cppActivationUtils.h
    FullyConnected.float.cppFused.h
    FullyConnected.float.cppGEMM.h
    FullyConnected.float.cppMatrix.h
    MaxPool2D.cppPooling.h
    MaxPool2D.float.cppActivationUtils.h
    MaxPool2D.float.cppArray.h
    MaxPool2D.float.cppFeatureMap.h
    MaxPool2D.float.cppFused.h
    MaxPool2D.float.cppMatrix.h
    Mul.float.cppActivationUtils.h
    Mul.float.cppArray.h
    Mul.float.cppFused.h
    Mul.float.cppMatrix.h
    Mul.float.cppNDArray.h
    Pad.cppDims.h
    ReLU.cppElementwise.h
    ReLU6.cppElementwise.h
    Softmax.cppElementwise.h
    Softmax.float.cppArray.h
    Softmax.float.cppMatrix.h
    Sub.float.cppActivationUtils.h
    Sub.float.cppArray.h
    Sub.float.cppFused.h
    Sub.float.cppMatrix.h
    Sub.float.cppNDArray.h
    -
    - - - - diff --git a/dir_000675_000448.html b/dir_000676_000448.html similarity index 100% rename from dir_000675_000448.html rename to dir_000676_000448.html diff --git a/dir_000677_000409.html b/dir_000677_000409.html new file mode 100644 index 00000000000..e7a675768f4 --- /dev/null +++ b/dir_000677_000409.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/ann-ref/src/ops -> internal Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
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    ops → internal Relation

    File in compiler/ann-ref/src/opsIncludes file in compiler/ann-ref/src/ops/internal
    Add.float.cppActivationUtils.h
    Add.float.cppArray.h
    Add.float.cppFused.h
    Add.float.cppMatrix.h
    Add.float.cppNDArray.h
    AvgPool2D.cppPooling.h
    AvgPool2D.float.cppActivationUtils.h
    AvgPool2D.float.cppArray.h
    AvgPool2D.float.cppFeatureMap.h
    AvgPool2D.float.cppFused.h
    AvgPool2D.float.cppMatrix.h
    Concatenation.float.cppArray.h
    Concatenation.float.cppFused.h
    Concatenation.float.cppMatrix.h
    Conv2D.cppSpatial.h
    Conv2D.float.cppActivationUtils.h
    Conv2D.float.cppArray.h
    Conv2D.float.cppFused.h
    Conv2D.float.cppGEMM.h
    Conv2D.float.cppMatrix.h
    Conv2D.float.cppSpatial.h
    DepthwiseConv2D.cppSpatial.h
    DepthwiseConv2D.float.cppActivationUtils.h
    DepthwiseConv2D.float.cppArray.h
    DepthwiseConv2D.float.cppFused.h
    DepthwiseConv2D.float.cppSpatial.h
    Div.float.cppActivationUtils.h
    Div.float.cppArray.h
    Div.float.cppFused.h
    Div.float.cppMatrix.h
    Div.float.cppNDArray.h
    FullyConnected.float.cppActivationUtils.h
    FullyConnected.float.cppFused.h
    FullyConnected.float.cppGEMM.h
    FullyConnected.float.cppMatrix.h
    MaxPool2D.cppPooling.h
    MaxPool2D.float.cppActivationUtils.h
    MaxPool2D.float.cppArray.h
    MaxPool2D.float.cppFeatureMap.h
    MaxPool2D.float.cppFused.h
    MaxPool2D.float.cppMatrix.h
    Mul.float.cppActivationUtils.h
    Mul.float.cppArray.h
    Mul.float.cppFused.h
    Mul.float.cppMatrix.h
    Mul.float.cppNDArray.h
    Pad.cppDims.h
    ReLU.cppElementwise.h
    ReLU6.cppElementwise.h
    Softmax.cppElementwise.h
    Softmax.float.cppArray.h
    Softmax.float.cppMatrix.h
    Sub.float.cppActivationUtils.h
    Sub.float.cppArray.h
    Sub.float.cppFused.h
    Sub.float.cppMatrix.h
    Sub.float.cppNDArray.h
    +
    + + + + diff --git a/dir_000677_000542.html b/dir_000677_000542.html deleted file mode 100644 index 0c88d7bd4c6..00000000000 --- a/dir_000677_000542.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/mir-interpreter/src/ops -> mir Relation - - - - - - - - - - - - - -
    -
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    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
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    Loading...
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    ops → mir Relation

    File in compiler/mir-interpreter/src/opsIncludes file in compiler/mir
    Abs.cppinclude / mir / ShapeRange.h
    Abs.cppinclude / mir / Tensor.h
    Abs.hinclude / mir / TensorVariant.h
    Add.cppinclude / mir / ShapeRange.h
    Add.cppinclude / mir / Tensor.h
    Add.hinclude / mir / TensorVariant.h
    AvgPool2D.cppinclude / mir / ShapeRange.h
    AvgPool2D.cppinclude / mir / Tensor.h
    AvgPool2D.hinclude / mir / ops / AvgPool2DOp.h
    AvgPool2D.hinclude / mir / TensorVariant.h
    CappedReLU.cppinclude / mir / ShapeRange.h
    CappedReLU.cppinclude / mir / Tensor.h
    CappedReLU.hinclude / mir / TensorVariant.h
    Common.hinclude / mir / DataType.h
    Common.hinclude / mir / Index.h
    Common.hinclude / mir / Shape.h
    Common.hinclude / mir / Tensor.h
    Common.hinclude / mir / TensorVariant.h
    Concat.hinclude / mir / TensorVariant.h
    Conv2D.cppinclude / mir / Tensor.h
    Conv2D.hinclude / mir / ops / Conv2DOp.h
    Conv2D.hinclude / mir / TensorVariant.h
    DeConv2D.cppinclude / mir / TensorUtil.h
    DeConv2D.hinclude / mir / Attributes.h
    DeConv2D.hinclude / mir / TensorVariant.h
    DepthwiseConv2D.cppinclude / mir / ShapeRange.h
    DepthwiseConv2D.cppinclude / mir / Tensor.h
    DepthwiseConv2D.hinclude / mir / ops / DepthwiseConv2DOp.h
    DepthwiseConv2D.hinclude / mir / TensorVariant.h
    Div.cppinclude / mir / ShapeRange.h
    Div.cppinclude / mir / Tensor.h
    Div.hinclude / mir / TensorVariant.h
    ELU.cppinclude / mir / ShapeRange.h
    ELU.cppinclude / mir / Tensor.h
    ELU.hinclude / mir / TensorVariant.h
    Equal.cppinclude / mir / ShapeRange.h
    Equal.cppinclude / mir / Tensor.h
    Equal.hinclude / mir / TensorVariant.h
    Fill.hinclude / mir / ShapeRange.h
    Fill.hinclude / mir / Tensor.h
    FullyConnected.cppinclude / mir / Tensor.h
    FullyConnected.hinclude / mir / ops / FullyConnectedOp.h
    FullyConnected.hinclude / mir / ShapeRange.h
    Gather.cppinclude / mir / Tensor.h
    Gather.hinclude / mir / ops / GatherOp.h
    Gather.hinclude / mir / TensorVariant.h
    Greater.cppinclude / mir / ShapeRange.h
    Greater.cppinclude / mir / Tensor.h
    Greater.hinclude / mir / TensorVariant.h
    HardSwish.hinclude / mir / TensorVariant.h
    LeakyReLU.cppinclude / mir / ShapeRange.h
    LeakyReLU.cppinclude / mir / Tensor.h
    LeakyReLU.hinclude / mir / TensorVariant.h
    Less.cppinclude / mir / ShapeRange.h
    Less.cppinclude / mir / Tensor.h
    Less.hinclude / mir / TensorVariant.h
    Max.cppinclude / mir / ShapeRange.h
    Max.cppinclude / mir / Tensor.h
    Max.hinclude / mir / TensorVariant.h
    MaxPool2D.cppinclude / mir / ShapeRange.h
    MaxPool2D.cppinclude / mir / Tensor.h
    MaxPool2D.hinclude / mir / ops / MaxPool2DOp.h
    MaxPool2D.hinclude / mir / TensorVariant.h
    Mul.cppinclude / mir / ShapeRange.h
    Mul.cppinclude / mir / Tensor.h
    Mul.hinclude / mir / TensorVariant.h
    Pad.cppinclude / mir / ShapeRange.h
    Pad.cppinclude / mir / Tensor.h
    Pad.hinclude / mir / ops / PadOp.h
    Pad.hinclude / mir / TensorVariant.h
    Quantization.cppinclude / mir / ShapeRange.h
    Quantization.cppinclude / mir / Tensor.h
    Quantization.hinclude / mir / TensorVariant.h
    ReduceMean.cppinclude / mir / ops / ReduceMeanOp.h
    ReduceMean.cppinclude / mir / ShapeRange.h
    ReduceMean.cppinclude / mir / Tensor.h
    ReduceMean.hinclude / mir / ops / ReduceMeanOp.h
    ReLU.cppinclude / mir / ShapeRange.h
    ReLU.cppinclude / mir / Tensor.h
    ReLU.hinclude / mir / TensorVariant.h
    Reshape.cppinclude / mir / ShapeRange.h
    Reshape.hinclude / mir / TensorVariant.h
    Sigmoid.cppinclude / mir / ShapeRange.h
    Sigmoid.cppinclude / mir / Tensor.h
    Sigmoid.hinclude / mir / TensorVariant.h
    Slice.cppinclude / mir / ShapeRange.h
    Slice.cppinclude / mir / Tensor.h
    Slice.hinclude / mir / TensorVariant.h
    Softmax.cppinclude / mir / ShapeRange.h
    Softmax.cppinclude / mir / Tensor.h
    Softmax.hinclude / mir / TensorVariant.h
    Sqrt.cppinclude / mir / ShapeRange.h
    Sqrt.cppinclude / mir / Tensor.h
    Sqrt.hinclude / mir / TensorVariant.h
    Sub.cppinclude / mir / ShapeRange.h
    Sub.cppinclude / mir / Tensor.h
    Sub.hinclude / mir / TensorVariant.h
    Tanh.cppinclude / mir / ShapeRange.h
    Tanh.cppinclude / mir / Tensor.h
    Tanh.hinclude / mir / TensorVariant.h
    Transpose.cppinclude / mir / ShapeRange.h
    Transpose.cppinclude / mir / Tensor.h
    Transpose.hinclude / mir / TensorVariant.h
    Transpose.hinclude / mir / ops / TransposeOp.h
    -
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    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
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    +
    Loading...
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    No Matches
    +
    +
    +
    +
    + +
    +

    ops → mir Relation

    File in compiler/mir-interpreter/src/opsIncludes file in compiler/mir
    Abs.cppinclude / mir / ShapeRange.h
    Abs.cppinclude / mir / Tensor.h
    Abs.hinclude / mir / TensorVariant.h
    Add.cppinclude / mir / ShapeRange.h
    Add.cppinclude / mir / Tensor.h
    Add.hinclude / mir / TensorVariant.h
    AvgPool2D.cppinclude / mir / ShapeRange.h
    AvgPool2D.cppinclude / mir / Tensor.h
    AvgPool2D.hinclude / mir / ops / AvgPool2DOp.h
    AvgPool2D.hinclude / mir / TensorVariant.h
    CappedReLU.cppinclude / mir / ShapeRange.h
    CappedReLU.cppinclude / mir / Tensor.h
    CappedReLU.hinclude / mir / TensorVariant.h
    Common.hinclude / mir / DataType.h
    Common.hinclude / mir / Index.h
    Common.hinclude / mir / Shape.h
    Common.hinclude / mir / Tensor.h
    Common.hinclude / mir / TensorVariant.h
    Concat.hinclude / mir / TensorVariant.h
    Conv2D.cppinclude / mir / Tensor.h
    Conv2D.hinclude / mir / ops / Conv2DOp.h
    Conv2D.hinclude / mir / TensorVariant.h
    DeConv2D.cppinclude / mir / TensorUtil.h
    DeConv2D.hinclude / mir / Attributes.h
    DeConv2D.hinclude / mir / TensorVariant.h
    DepthwiseConv2D.cppinclude / mir / ShapeRange.h
    DepthwiseConv2D.cppinclude / mir / Tensor.h
    DepthwiseConv2D.hinclude / mir / ops / DepthwiseConv2DOp.h
    DepthwiseConv2D.hinclude / mir / TensorVariant.h
    Div.cppinclude / mir / ShapeRange.h
    Div.cppinclude / mir / Tensor.h
    Div.hinclude / mir / TensorVariant.h
    ELU.cppinclude / mir / ShapeRange.h
    ELU.cppinclude / mir / Tensor.h
    ELU.hinclude / mir / TensorVariant.h
    Equal.cppinclude / mir / ShapeRange.h
    Equal.cppinclude / mir / Tensor.h
    Equal.hinclude / mir / TensorVariant.h
    Fill.hinclude / mir / ShapeRange.h
    Fill.hinclude / mir / Tensor.h
    FullyConnected.cppinclude / mir / Tensor.h
    FullyConnected.hinclude / mir / ops / FullyConnectedOp.h
    FullyConnected.hinclude / mir / ShapeRange.h
    Gather.cppinclude / mir / Tensor.h
    Gather.hinclude / mir / ops / GatherOp.h
    Gather.hinclude / mir / TensorVariant.h
    Greater.cppinclude / mir / ShapeRange.h
    Greater.cppinclude / mir / Tensor.h
    Greater.hinclude / mir / TensorVariant.h
    HardSwish.hinclude / mir / TensorVariant.h
    LeakyReLU.cppinclude / mir / ShapeRange.h
    LeakyReLU.cppinclude / mir / Tensor.h
    LeakyReLU.hinclude / mir / TensorVariant.h
    Less.cppinclude / mir / ShapeRange.h
    Less.cppinclude / mir / Tensor.h
    Less.hinclude / mir / TensorVariant.h
    Max.cppinclude / mir / ShapeRange.h
    Max.cppinclude / mir / Tensor.h
    Max.hinclude / mir / TensorVariant.h
    MaxPool2D.cppinclude / mir / ShapeRange.h
    MaxPool2D.cppinclude / mir / Tensor.h
    MaxPool2D.hinclude / mir / ops / MaxPool2DOp.h
    MaxPool2D.hinclude / mir / TensorVariant.h
    Mul.cppinclude / mir / ShapeRange.h
    Mul.cppinclude / mir / Tensor.h
    Mul.hinclude / mir / TensorVariant.h
    Pad.cppinclude / mir / ShapeRange.h
    Pad.cppinclude / mir / Tensor.h
    Pad.hinclude / mir / ops / PadOp.h
    Pad.hinclude / mir / TensorVariant.h
    Quantization.cppinclude / mir / ShapeRange.h
    Quantization.cppinclude / mir / Tensor.h
    Quantization.hinclude / mir / TensorVariant.h
    ReduceMean.cppinclude / mir / ops / ReduceMeanOp.h
    ReduceMean.cppinclude / mir / ShapeRange.h
    ReduceMean.cppinclude / mir / Tensor.h
    ReduceMean.hinclude / mir / ops / ReduceMeanOp.h
    ReLU.cppinclude / mir / ShapeRange.h
    ReLU.cppinclude / mir / Tensor.h
    ReLU.hinclude / mir / TensorVariant.h
    Reshape.cppinclude / mir / ShapeRange.h
    Reshape.hinclude / mir / TensorVariant.h
    Sigmoid.cppinclude / mir / ShapeRange.h
    Sigmoid.cppinclude / mir / Tensor.h
    Sigmoid.hinclude / mir / TensorVariant.h
    Slice.cppinclude / mir / ShapeRange.h
    Slice.cppinclude / mir / Tensor.h
    Slice.hinclude / mir / TensorVariant.h
    Softmax.cppinclude / mir / ShapeRange.h
    Softmax.cppinclude / mir / Tensor.h
    Softmax.hinclude / mir / TensorVariant.h
    Sqrt.cppinclude / mir / ShapeRange.h
    Sqrt.cppinclude / mir / Tensor.h
    Sqrt.hinclude / mir / TensorVariant.h
    Sub.cppinclude / mir / ShapeRange.h
    Sub.cppinclude / mir / Tensor.h
    Sub.hinclude / mir / TensorVariant.h
    Tanh.cppinclude / mir / ShapeRange.h
    Tanh.cppinclude / mir / Tensor.h
    Tanh.hinclude / mir / TensorVariant.h
    Transpose.cppinclude / mir / ShapeRange.h
    Transpose.cppinclude / mir / Tensor.h
    Transpose.hinclude / mir / TensorVariant.h
    Transpose.hinclude / mir / ops / TransposeOp.h
    +
    + + + + diff --git a/dir_000680_000124.html b/dir_000680_000124.html deleted file mode 100644 index ce697634656..00000000000 --- a/dir_000680_000124.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: runtime/onert/backend/cpu/ops -> compute Relation - - - - - - - - - - - - - -
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    ops → compute Relation

    File in runtime/onert/backend/cpu/opsIncludes file in compute
    AddNLayer.cccker / include / cker / operation / AddN.h
    ArgMinMaxLayer.cccker / include / cker / operation / ArgMinMax.h
    BatchMatMulLayer.cccker / include / cker / operation / BatchMatMul.h
    BatchToSpaceNDLayer.cccker / include / cker / operation / BatchToSpaceND.h
    BinaryArithmeticLayer.cccker / include / cker / operation / BinaryArithmeticOps.h
    BroadcastToLayer.cccker / include / cker / operation / BroadcastTo.h
    CompareLayer.cccker / include / cker / operation / Comparison.h
    ConcatLayer.cccker / include / cker / operation / Concatenation.h
    ConvolutionLayer.cccker / include / cker / operation / Conv.h
    ConvolutionLayer.cccker / include / cker / PortableTensorUtils.h
    DepthToSpaceLayer.cccker / include / cker / operation / DepthToSpace.h
    DepthwiseConvolutionLayer.cccker / include / cker / operation / DepthwiseConv.h
    DepthwiseConvolutionLayer.cccker / include / cker / PortableTensorUtils.h
    EinsumLayer.cccker / include / cker / operation / Einsum.h
    ElementwiseActivationLayer.cccker / include / cker / operation / ELU.h
    ElementwiseActivationLayer.cccker / include / cker / operation / LeakyReLU.h
    ElementwiseActivationLayer.cccker / include / cker / operation / Logistic.h
    ElementwiseActivationLayer.cccker / include / cker / operation / ReLU.h
    ElementwiseActivationLayer.cccker / include / cker / operation / ReLU6.h
    ElementwiseActivationLayer.cccker / include / cker / operation / Tanh.h
    ElementwiseBinaryLayer.cccker / include / cker / operation / FloorDiv.h
    ElementwiseBinaryLayer.cccker / include / cker / operation / FloorMod.h
    ElementwiseBinaryLayer.cccker / include / cker / operation / LogicalAnd.h
    ElementwiseBinaryLayer.cccker / include / cker / operation / LogicalOr.h
    ElementwiseBinaryLayer.cccker / include / cker / operation / MaxMin.h
    ElementwiseUnaryLayer.cccker / include / cker / operation / Dequantize.h
    ElementwiseUnaryLayer.cccker / include / cker / operation / Elementwise.h
    ElementwiseUnaryLayer.cccker / include / cker / operation / Erf.h
    ElementwiseUnaryLayer.cccker / include / cker / operation / Exp.h
    ElementwiseUnaryLayer.cccker / include / cker / operation / LogicalNot.h
    ElementwiseUnaryLayer.cccker / include / cker / operation / Round.h
    FillLayer.cccker / include / cker / operation / Fill.h
    FullyConnectedLayer.cccker / include / cker / operation / FullyConnected.h
    FullyConnectedLayer.cccker / include / cker / TensorUtils.h
    FusedBatchNormLayer.cccker / include / cker / operation / FusedBatchNorm.h
    GatherLayer.cccker / include / cker / operation / Gather.h
    L2NormLayer.cccker / include / cker / operation / L2Normalize.h
    L2NormLayer.cccker / include / cker / Types.h
    LogSoftMaxLayer.cccker / include / cker / operation / LogSoftMax.h
    LSTMLayer.cccker / include / cker / operation / LSTM.h
    MatrixBandPartLayer.cccker / include / cker / operation / MatrixBandPart.h
    MeanLayer.cccker / include / cker / operation / ReduceMean.h
    OneHotLayer.cccker / include / cker / operation / OneHot.h
    OperationUtils.hcker / include / cker / Shape.h
    OperationUtils.hcker / include / cker / Types.h
    PackLayer.cccker / include / cker / operation / Pack.h
    PadLayer.cccker / include / cker / operation / Pad.h
    PoolLayer.cccker / include / cker / operation / AveragePool.h
    PoolLayer.cccker / include / cker / operation / MaxPool.h
    PowLayer.cccker / include / cker / operation / BinaryArithmeticOps.h
    PowLayer.cccker / include / cker / operation / Pow.h
    QuantizeLayer.cccker / include / cker / operation / Dequantize.h
    QuantizeLayer.cccker / include / cker / operation / Erf.h
    QuantizeLayer.cccker / include / cker / operation / Exp.h
    QuantizeLayer.cccker / include / cker / operation / LogicalNot.h
    QuantizeLayer.cccker / include / cker / operation / Quantize.h
    QuantizeLayer.cccker / include / cker / operation / Round.h
    RangeLayer.cccker / include / cker / operation / Range.h
    ReduceLayer.cccker / include / cker / neon / neon_check.h
    ReduceLayer.cccker / include / cker / operation / Reduce.h
    ReduceLayer.hcker / include / cker / neon / neon_check.h
    ResizeBilinearLayer.cccker / include / cker / operation / ResizeBilinear.h
    ResizeBilinearLayer.cccker / include / cker / Types.h
    ReverseLayer.cccker / include / cker / operation / Reverse.h
    SelectLayer.cccker / include / cker / operation / Select.h
    SliceLayer.cccker / include / cker / operation / Slice.h
    SoftMaxLayer.cccker / include / cker / operation / SoftMax.h
    SpaceToBatchNDLayer.cccker / include / cker / operation / SpaceToBatchND.h
    SpaceToDepthLayer.cccker / include / cker / operation / SpaceToDepth.h
    SplitLayer.cccker / include / cker / operation / Split.h
    SplitVLayer.cccker / include / cker / operation / SplitV.h
    SquaredDiffLayer.cccker / include / cker / operation / SqDiff.h
    StatelessRandomUniformLayer.cccker / include / cker / operation / StatelessRandomUniform.h
    StridedSliceLayer.cccker / include / cker / operation / StridedSlice.h
    TileLayer.cccker / include / cker / operation / Tile.h
    TransposeLayer.cccker / include / cker / operation / Transpose.h
    UnpackLayer.cccker / include / cker / operation / Unpack.h
    -
    - - - - diff --git a/dir_000680_000159.html b/dir_000680_000159.html deleted file mode 100644 index 347575208dc..00000000000 --- a/dir_000680_000159.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: runtime/onert/backend/cpu/ops -> core Relation - - - - - - - - - - - - - -
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    ONE - On-device Neural Engine -
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    ops → core Relation

    File in runtime/onert/backend/cpu/opsIncludes file in runtime/onert/core
    AddNLayer.hinclude / exec / IFunction.h
    AddNLayer.hinclude / backend / IPortableTensor.h
    ArgMinMaxLayer.hinclude / exec / IFunction.h
    ArgMinMaxLayer.hinclude / backend / IPortableTensor.h
    BatchMatMulLayer.hinclude / exec / IFunction.h
    BatchMatMulLayer.hinclude / backend / IPortableTensor.h
    BatchToSpaceNDLayer.hinclude / exec / IFunction.h
    BatchToSpaceNDLayer.hinclude / backend / IPortableTensor.h
    BinaryArithmeticLayer.hinclude / exec / IFunction.h
    BinaryArithmeticLayer.hinclude / backend / IPortableTensor.h
    BroadcastToLayer.hinclude / exec / IFunction.h
    BroadcastToLayer.hinclude / backend / IPortableTensor.h
    CompareLayer.hinclude / ir / operation / Comparison.h
    CompareLayer.hinclude / exec / IFunction.h
    CompareLayer.hinclude / backend / IPortableTensor.h
    ConcatLayer.hinclude / exec / IFunction.h
    ConcatLayer.hinclude / backend / IPortableTensor.h
    ConvolutionLayer.ccinclude / ir / Padding.h
    ConvolutionLayer.hinclude / exec / IFunction.h
    ConvolutionLayer.hinclude / backend / IPortableTensor.h
    DepthToSpaceLayer.hinclude / exec / IFunction.h
    DepthToSpaceLayer.hinclude / backend / IPortableTensor.h
    DepthwiseConvolutionLayer.hinclude / exec / IFunction.h
    DepthwiseConvolutionLayer.hinclude / backend / IPortableTensor.h
    DetectionPostProcessLayer.hinclude / exec / IFunction.h
    EinsumLayer.hinclude / exec / IFunction.h
    EinsumLayer.hinclude / backend / IPortableTensor.h
    ElementwiseActivationLayer.hinclude / exec / IFunction.h
    ElementwiseActivationLayer.hinclude / backend / IPortableTensor.h
    ElementwiseBinaryLayer.hinclude / exec / IFunction.h
    ElementwiseBinaryLayer.hinclude / backend / IPortableTensor.h
    ElementwiseUnaryLayer.hinclude / exec / IFunction.h
    ElementwiseUnaryLayer.hinclude / backend / IPortableTensor.h
    ExpandDimsLayer.hinclude / exec / IFunction.h
    ExpandDimsLayer.hinclude / backend / IPortableTensor.h
    FillLayer.hinclude / exec / IFunction.h
    FillLayer.hinclude / backend / IPortableTensor.h
    FullyConnectedLayer.hinclude / exec / IFunction.h
    FullyConnectedLayer.hinclude / backend / IPortableTensor.h
    FusedBatchNormLayer.hinclude / exec / IFunction.h
    FusedBatchNormLayer.hinclude / backend / IPortableTensor.h
    GatherLayer.hinclude / exec / IFunction.h
    GatherLayer.hinclude / backend / IPortableTensor.h
    L2NormLayer.hinclude / exec / IFunction.h
    L2NormLayer.hinclude / backend / IPortableTensor.h
    LogSoftMaxLayer.hinclude / exec / IFunction.h
    LSTMLayer.hinclude / exec / IFunction.h
    LSTMLayer.hinclude / ir / InternalType.h
    LSTMLayer.hinclude / backend / IPortableTensor.h
    LSTMLayer.hinclude / ir / operation / LSTM.h
    MatrixBandPartLayer.hinclude / exec / IFunction.h
    MatrixBandPartLayer.hinclude / backend / IPortableTensor.h
    MeanLayer.hinclude / exec / IFunction.h
    MeanLayer.hinclude / backend / IPortableTensor.h
    OneHotLayer.hinclude / exec / IFunction.h
    OneHotLayer.hinclude / backend / IPortableTensor.h
    OperationUtils.hinclude / util / CalculateActivationRange.h
    OperationUtils.hinclude / backend / IPortableTensor.h
    OperationUtils.hinclude / ir / Operand.h
    OperationUtils.hinclude / ir / Padding.h
    PackLayer.hinclude / exec / IFunction.h
    PackLayer.hinclude / backend / IPortableTensor.h
    PadLayer.hinclude / exec / IFunction.h
    PadLayer.hinclude / backend / IPortableTensor.h
    PoolLayer.hinclude / exec / IFunction.h
    PoolLayer.hinclude / backend / IPortableTensor.h
    PowLayer.hinclude / exec / IFunction.h
    PowLayer.hinclude / backend / IPortableTensor.h
    QuantizeLayer.hinclude / exec / IFunction.h
    QuantizeLayer.hinclude / backend / IPortableTensor.h
    RangeLayer.hinclude / exec / IFunction.h
    RangeLayer.hinclude / backend / IPortableTensor.h
    RankLayer.hinclude / exec / IFunction.h
    RankLayer.hinclude / backend / IPortableTensor.h
    ReduceLayer.hinclude / exec / IFunction.h
    ReduceLayer.hinclude / backend / IPortableTensor.h
    ReshapeLayer.hinclude / exec / IFunction.h
    ReshapeLayer.hinclude / backend / IPortableTensor.h
    ResizeBilinearLayer.hinclude / exec / IFunction.h
    ResizeBilinearLayer.hinclude / backend / IPortableTensor.h
    ReverseLayer.hinclude / exec / IFunction.h
    ReverseLayer.hinclude / backend / IPortableTensor.h
    SelectLayer.hinclude / exec / IFunction.h
    SelectLayer.hinclude / backend / IPortableTensor.h
    ShapeLayer.hinclude / exec / IFunction.h
    ShapeLayer.hinclude / backend / IPortableTensor.h
    SliceLayer.hinclude / exec / IFunction.h
    SliceLayer.hinclude / backend / IPortableTensor.h
    SoftMaxLayer.hinclude / exec / IFunction.h
    SoftMaxLayer.hinclude / backend / IPortableTensor.h
    SpaceToBatchNDLayer.hinclude / exec / IFunction.h
    SpaceToBatchNDLayer.hinclude / backend / IPortableTensor.h
    SpaceToDepthLayer.hinclude / exec / IFunction.h
    SpaceToDepthLayer.hinclude / backend / IPortableTensor.h
    SplitLayer.hinclude / exec / IFunction.h
    SplitLayer.hinclude / backend / IPortableTensor.h
    SplitVLayer.hinclude / exec / IFunction.h
    SplitVLayer.hinclude / backend / IPortableTensor.h
    SquaredDiffLayer.hinclude / exec / IFunction.h
    SquaredDiffLayer.hinclude / backend / IPortableTensor.h
    StatelessRandomUniformLayer.hinclude / exec / IFunction.h
    StatelessRandomUniformLayer.hinclude / backend / IPortableTensor.h
    StridedSliceLayer.hinclude / exec / IFunction.h
    StridedSliceLayer.hinclude / backend / IPortableTensor.h
    TileLayer.hinclude / exec / IFunction.h
    TileLayer.hinclude / backend / IPortableTensor.h
    TransposeLayer.hinclude / exec / IFunction.h
    TransposeLayer.hinclude / backend / IPortableTensor.h
    UnpackLayer.hinclude / exec / IFunction.h
    UnpackLayer.hinclude / backend / IPortableTensor.h
    -
    - - - - diff --git a/dir_000679_000340.html b/dir_000680_000340.html similarity index 100% rename from dir_000679_000340.html rename to dir_000680_000340.html diff --git a/dir_000681_000124.html b/dir_000681_000124.html index 2c6d7a6c89f..ce697634656 100644 --- a/dir_000681_000124.html +++ b/dir_000681_000124.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/backend/ruy/ops -> compute Relation +ONE - On-device Neural Engine: runtime/onert/backend/cpu/ops -> compute Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    ops → compute Relation

    File in runtime/onert/backend/ruy/opsIncludes file in compute
    ConvolutionLayer.hruy / include / ruy / operation / Conv.h
    FullyConnectedLayer.ccruy / include / ruy / operation / FullyConnected.h
    FullyConnectedLayer.ccruy / include / ruy / TensorUtils.h
    OperationUtils.hruy / include / ruy / Shape.h
    OperationUtils.hruy / include / ruy / Types.h
    +

    ops → compute Relation

    File in runtime/onert/backend/cpu/opsIncludes file in compute
    AddNLayer.cccker / include / cker / operation / AddN.h
    ArgMinMaxLayer.cccker / include / cker / operation / ArgMinMax.h
    BatchMatMulLayer.cccker / include / cker / operation / BatchMatMul.h
    BatchToSpaceNDLayer.cccker / include / cker / operation / BatchToSpaceND.h
    BinaryArithmeticLayer.cccker / include / cker / operation / BinaryArithmeticOps.h
    BroadcastToLayer.cccker / include / cker / operation / BroadcastTo.h
    CompareLayer.cccker / include / cker / operation / Comparison.h
    ConcatLayer.cccker / include / cker / operation / Concatenation.h
    ConvolutionLayer.cccker / include / cker / operation / Conv.h
    ConvolutionLayer.cccker / include / cker / PortableTensorUtils.h
    DepthToSpaceLayer.cccker / include / cker / operation / DepthToSpace.h
    DepthwiseConvolutionLayer.cccker / include / cker / operation / DepthwiseConv.h
    DepthwiseConvolutionLayer.cccker / include / cker / PortableTensorUtils.h
    EinsumLayer.cccker / include / cker / operation / Einsum.h
    ElementwiseActivationLayer.cccker / include / cker / operation / ELU.h
    ElementwiseActivationLayer.cccker / include / cker / operation / LeakyReLU.h
    ElementwiseActivationLayer.cccker / include / cker / operation / Logistic.h
    ElementwiseActivationLayer.cccker / include / cker / operation / ReLU.h
    ElementwiseActivationLayer.cccker / include / cker / operation / ReLU6.h
    ElementwiseActivationLayer.cccker / include / cker / operation / Tanh.h
    ElementwiseBinaryLayer.cccker / include / cker / operation / FloorDiv.h
    ElementwiseBinaryLayer.cccker / include / cker / operation / FloorMod.h
    ElementwiseBinaryLayer.cccker / include / cker / operation / LogicalAnd.h
    ElementwiseBinaryLayer.cccker / include / cker / operation / LogicalOr.h
    ElementwiseBinaryLayer.cccker / include / cker / operation / MaxMin.h
    ElementwiseUnaryLayer.cccker / include / cker / operation / Dequantize.h
    ElementwiseUnaryLayer.cccker / include / cker / operation / Elementwise.h
    ElementwiseUnaryLayer.cccker / include / cker / operation / Erf.h
    ElementwiseUnaryLayer.cccker / include / cker / operation / Exp.h
    ElementwiseUnaryLayer.cccker / include / cker / operation / LogicalNot.h
    ElementwiseUnaryLayer.cccker / include / cker / operation / Round.h
    FillLayer.cccker / include / cker / operation / Fill.h
    FullyConnectedLayer.cccker / include / cker / operation / FullyConnected.h
    FullyConnectedLayer.cccker / include / cker / TensorUtils.h
    FusedBatchNormLayer.cccker / include / cker / operation / FusedBatchNorm.h
    GatherLayer.cccker / include / cker / operation / Gather.h
    L2NormLayer.cccker / include / cker / operation / L2Normalize.h
    L2NormLayer.cccker / include / cker / Types.h
    LogSoftMaxLayer.cccker / include / cker / operation / LogSoftMax.h
    LSTMLayer.cccker / include / cker / operation / LSTM.h
    MatrixBandPartLayer.cccker / include / cker / operation / MatrixBandPart.h
    MeanLayer.cccker / include / cker / operation / ReduceMean.h
    OneHotLayer.cccker / include / cker / operation / OneHot.h
    OperationUtils.hcker / include / cker / Shape.h
    OperationUtils.hcker / include / cker / Types.h
    PackLayer.cccker / include / cker / operation / Pack.h
    PadLayer.cccker / include / cker / operation / Pad.h
    PoolLayer.cccker / include / cker / operation / AveragePool.h
    PoolLayer.cccker / include / cker / operation / MaxPool.h
    PowLayer.cccker / include / cker / operation / BinaryArithmeticOps.h
    PowLayer.cccker / include / cker / operation / Pow.h
    QuantizeLayer.cccker / include / cker / operation / Dequantize.h
    QuantizeLayer.cccker / include / cker / operation / Erf.h
    QuantizeLayer.cccker / include / cker / operation / Exp.h
    QuantizeLayer.cccker / include / cker / operation / LogicalNot.h
    QuantizeLayer.cccker / include / cker / operation / Quantize.h
    QuantizeLayer.cccker / include / cker / operation / Round.h
    RangeLayer.cccker / include / cker / operation / Range.h
    ReduceLayer.cccker / include / cker / neon / neon_check.h
    ReduceLayer.cccker / include / cker / operation / Reduce.h
    ReduceLayer.hcker / include / cker / neon / neon_check.h
    ResizeBilinearLayer.cccker / include / cker / operation / ResizeBilinear.h
    ResizeBilinearLayer.cccker / include / cker / Types.h
    ReverseLayer.cccker / include / cker / operation / Reverse.h
    SelectLayer.cccker / include / cker / operation / Select.h
    SliceLayer.cccker / include / cker / operation / Slice.h
    SoftMaxLayer.cccker / include / cker / operation / SoftMax.h
    SpaceToBatchNDLayer.cccker / include / cker / operation / SpaceToBatchND.h
    SpaceToDepthLayer.cccker / include / cker / operation / SpaceToDepth.h
    SplitLayer.cccker / include / cker / operation / Split.h
    SplitVLayer.cccker / include / cker / operation / SplitV.h
    SquaredDiffLayer.cccker / include / cker / operation / SqDiff.h
    StatelessRandomUniformLayer.cccker / include / cker / operation / StatelessRandomUniform.h
    StridedSliceLayer.cccker / include / cker / operation / StridedSlice.h
    TileLayer.cccker / include / cker / operation / Tile.h
    TransposeLayer.cccker / include / cker / operation / Transpose.h
    UnpackLayer.cccker / include / cker / operation / Unpack.h
    diff --git a/dir_000681_000159.html b/dir_000681_000159.html index f12370a170d..347575208dc 100644 --- a/dir_000681_000159.html +++ b/dir_000681_000159.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/backend/ruy/ops -> core Relation +ONE - On-device Neural Engine: runtime/onert/backend/cpu/ops -> core Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    ops → core Relation

    File in runtime/onert/backend/cpu/opsIncludes file in runtime/onert/core
    AddNLayer.hinclude / exec / IFunction.h
    AddNLayer.hinclude / backend / IPortableTensor.h
    ArgMinMaxLayer.hinclude / exec / IFunction.h
    ArgMinMaxLayer.hinclude / backend / IPortableTensor.h
    BatchMatMulLayer.hinclude / exec / IFunction.h
    BatchMatMulLayer.hinclude / backend / IPortableTensor.h
    BatchToSpaceNDLayer.hinclude / exec / IFunction.h
    BatchToSpaceNDLayer.hinclude / backend / IPortableTensor.h
    BinaryArithmeticLayer.hinclude / exec / IFunction.h
    BinaryArithmeticLayer.hinclude / backend / IPortableTensor.h
    BroadcastToLayer.hinclude / exec / IFunction.h
    BroadcastToLayer.hinclude / backend / IPortableTensor.h
    CompareLayer.hinclude / ir / operation / Comparison.h
    CompareLayer.hinclude / exec / IFunction.h
    CompareLayer.hinclude / backend / IPortableTensor.h
    ConcatLayer.hinclude / exec / IFunction.h
    ConcatLayer.hinclude / backend / IPortableTensor.h
    ConvolutionLayer.ccinclude / ir / Padding.h
    ConvolutionLayer.hinclude / exec / IFunction.h
    ConvolutionLayer.hinclude / backend / IPortableTensor.h
    DepthToSpaceLayer.hinclude / exec / IFunction.h
    DepthToSpaceLayer.hinclude / backend / IPortableTensor.h
    DepthwiseConvolutionLayer.hinclude / exec / IFunction.h
    DepthwiseConvolutionLayer.hinclude / backend / IPortableTensor.h
    DetectionPostProcessLayer.hinclude / exec / IFunction.h
    EinsumLayer.hinclude / exec / IFunction.h
    EinsumLayer.hinclude / backend / IPortableTensor.h
    ElementwiseActivationLayer.hinclude / exec / IFunction.h
    ElementwiseActivationLayer.hinclude / backend / IPortableTensor.h
    ElementwiseBinaryLayer.hinclude / exec / IFunction.h
    ElementwiseBinaryLayer.hinclude / backend / IPortableTensor.h
    ElementwiseUnaryLayer.hinclude / exec / IFunction.h
    ElementwiseUnaryLayer.hinclude / backend / IPortableTensor.h
    ExpandDimsLayer.hinclude / exec / IFunction.h
    ExpandDimsLayer.hinclude / backend / IPortableTensor.h
    FillLayer.hinclude / exec / IFunction.h
    FillLayer.hinclude / backend / IPortableTensor.h
    FullyConnectedLayer.hinclude / exec / IFunction.h
    FullyConnectedLayer.hinclude / backend / IPortableTensor.h
    FusedBatchNormLayer.hinclude / exec / IFunction.h
    FusedBatchNormLayer.hinclude / backend / IPortableTensor.h
    GatherLayer.hinclude / exec / IFunction.h
    GatherLayer.hinclude / backend / IPortableTensor.h
    L2NormLayer.hinclude / exec / IFunction.h
    L2NormLayer.hinclude / backend / IPortableTensor.h
    LogSoftMaxLayer.hinclude / exec / IFunction.h
    LSTMLayer.hinclude / exec / IFunction.h
    LSTMLayer.hinclude / ir / InternalType.h
    LSTMLayer.hinclude / backend / IPortableTensor.h
    LSTMLayer.hinclude / ir / operation / LSTM.h
    MatrixBandPartLayer.hinclude / exec / IFunction.h
    MatrixBandPartLayer.hinclude / backend / IPortableTensor.h
    MeanLayer.hinclude / exec / IFunction.h
    MeanLayer.hinclude / backend / IPortableTensor.h
    OneHotLayer.hinclude / exec / IFunction.h
    OneHotLayer.hinclude / backend / IPortableTensor.h
    OperationUtils.hinclude / util / CalculateActivationRange.h
    OperationUtils.hinclude / backend / IPortableTensor.h
    OperationUtils.hinclude / ir / Operand.h
    OperationUtils.hinclude / ir / Padding.h
    PackLayer.hinclude / exec / IFunction.h
    PackLayer.hinclude / backend / IPortableTensor.h
    PadLayer.hinclude / exec / IFunction.h
    PadLayer.hinclude / backend / IPortableTensor.h
    PoolLayer.hinclude / exec / IFunction.h
    PoolLayer.hinclude / backend / IPortableTensor.h
    PowLayer.hinclude / exec / IFunction.h
    PowLayer.hinclude / backend / IPortableTensor.h
    QuantizeLayer.hinclude / exec / IFunction.h
    QuantizeLayer.hinclude / backend / IPortableTensor.h
    RangeLayer.hinclude / exec / IFunction.h
    RangeLayer.hinclude / backend / IPortableTensor.h
    RankLayer.hinclude / exec / IFunction.h
    RankLayer.hinclude / backend / IPortableTensor.h
    ReduceLayer.hinclude / exec / IFunction.h
    ReduceLayer.hinclude / backend / IPortableTensor.h
    ReshapeLayer.hinclude / exec / IFunction.h
    ReshapeLayer.hinclude / backend / IPortableTensor.h
    ResizeBilinearLayer.hinclude / exec / IFunction.h
    ResizeBilinearLayer.hinclude / backend / IPortableTensor.h
    ReverseLayer.hinclude / exec / IFunction.h
    ReverseLayer.hinclude / backend / IPortableTensor.h
    SelectLayer.hinclude / exec / IFunction.h
    SelectLayer.hinclude / backend / IPortableTensor.h
    ShapeLayer.hinclude / exec / IFunction.h
    ShapeLayer.hinclude / backend / IPortableTensor.h
    SliceLayer.hinclude / exec / IFunction.h
    SliceLayer.hinclude / backend / IPortableTensor.h
    SoftMaxLayer.hinclude / exec / IFunction.h
    SoftMaxLayer.hinclude / backend / IPortableTensor.h
    SpaceToBatchNDLayer.hinclude / exec / IFunction.h
    SpaceToBatchNDLayer.hinclude / backend / IPortableTensor.h
    SpaceToDepthLayer.hinclude / exec / IFunction.h
    SpaceToDepthLayer.hinclude / backend / IPortableTensor.h
    SplitLayer.hinclude / exec / IFunction.h
    SplitLayer.hinclude / backend / IPortableTensor.h
    SplitVLayer.hinclude / exec / IFunction.h
    SplitVLayer.hinclude / backend / IPortableTensor.h
    SquaredDiffLayer.hinclude / exec / IFunction.h
    SquaredDiffLayer.hinclude / backend / IPortableTensor.h
    StatelessRandomUniformLayer.hinclude / exec / IFunction.h
    StatelessRandomUniformLayer.hinclude / backend / IPortableTensor.h
    StridedSliceLayer.hinclude / exec / IFunction.h
    StridedSliceLayer.hinclude / backend / IPortableTensor.h
    TileLayer.hinclude / exec / IFunction.h
    TileLayer.hinclude / backend / IPortableTensor.h
    TransposeLayer.hinclude / exec / IFunction.h
    TransposeLayer.hinclude / backend / IPortableTensor.h
    UnpackLayer.hinclude / exec / IFunction.h
    UnpackLayer.hinclude / backend / IPortableTensor.h
    diff --git a/dir_000680_000448.html b/dir_000681_000448.html similarity index 100% rename from dir_000680_000448.html rename to dir_000681_000448.html diff --git a/dir_000682_000124.html b/dir_000682_000124.html index f12676420ff..2c6d7a6c89f 100644 --- a/dir_000682_000124.html +++ b/dir_000682_000124.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/backend/train/ops -> compute Relation +ONE - On-device Neural Engine: runtime/onert/backend/ruy/ops -> compute Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    ops → compute Relation

    File in runtime/onert/backend/train/opsIncludes file in compute
    BinaryArithmeticLayer.cccker / include / cker / train / operation / BinaryArithmetic.h
    BinaryArithmeticLayer.cccker / include / cker / operation / BinaryArithmeticOps.h
    BinaryArithmeticLayer.cccker / include / cker / train / operation / ReLU.h
    BinaryArithmeticLayer.cccker / include / cker / Shape.h
    ConvolutionLayer.cccker / include / cker / operation / Conv.h
    ConvolutionLayer.cccker / include / cker / train / operation / Conv.h
    ConvolutionLayer.cccker / include / cker / train / operation / ReLU.h
    ConvolutionLayer.cccker / include / cker / operation / Transpose.h
    ConvolutionLayer.cccker / include / cker / operation / TransposeConv.h
    DepthwiseConvolutionLayer.cccker / include / cker / train / operation / ReLU.h
    DepthwiseConvolutionLayer.hcker / include / cker / train / operation / DepthwiseConv.h
    ElementwiseActivationLayer.cccker / include / cker / train / operation / ReLU.h
    ElementwiseActivationLayer.cccker / include / cker / train / operation / ReLU6.h
    FullyConnectedLayer.cccker / include / cker / train / operation / FullyConnected.h
    FullyConnectedLayer.cccker / include / cker / operation / FullyConnected.h
    FullyConnectedLayer.cccker / include / cker / train / operation / ReLU.h
    FullyConnectedLayer.cccker / include / cker / operation / Transpose.h
    LossCategoricalCrossentropyLayer.cccker / include / cker / train / operation / Loss.h
    LossMeanSquaredErrorLayer.cccker / include / cker / train / operation / Loss.h
    MeanLayer.cccker / include / cker / operation / BinaryArithmeticOps.h
    MeanLayer.cccker / include / cker / train / operation / ReduceMean.h
    MeanLayer.cccker / include / cker / Shape.h
    OperationUtils.cccker / include / cker / eigen / redux_functor.h
    OperationUtils.cccker / include / cker / train / operation / ReLU.h
    OperationUtils.cccker / include / cker / train / operation / ReLU6.h
    PadLayer.cccker / include / cker / train / operation / Pad.h
    PoolLayer.cccker / include / cker / train / operation / MaxPool.h
    PoolLayer.cccker / include / cker / train / operation / ReLU.h
    PoolLayer.cccker / include / cker / Utils.h
    SoftMaxLayer.cccker / include / cker / train / operation / SoftMax.h
    +

    ops → compute Relation

    File in runtime/onert/backend/ruy/opsIncludes file in compute
    ConvolutionLayer.hruy / include / ruy / operation / Conv.h
    FullyConnectedLayer.ccruy / include / ruy / operation / FullyConnected.h
    FullyConnectedLayer.ccruy / include / ruy / TensorUtils.h
    OperationUtils.hruy / include / ruy / Shape.h
    OperationUtils.hruy / include / ruy / Types.h
    diff --git a/dir_000682_000159.html b/dir_000682_000159.html index beea9e9f3ae..f12370a170d 100644 --- a/dir_000682_000159.html +++ b/dir_000682_000159.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/backend/train/ops -> core Relation +ONE - On-device Neural Engine: runtime/onert/backend/ruy/ops -> core Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    ops → core Relation

    File in runtime/onert/backend/train/opsIncludes file in runtime/onert/core
    BinaryArithmeticLayer.hinclude / backend / IPortableTensor.h
    BinaryArithmeticLayer.hinclude / exec / train / ITrainableFunction.h
    ConvolutionLayer.hinclude / exec / train / ITrainableFunction.h
    DepthwiseConvolutionLayer.hinclude / backend / basic / Allocator.h
    DepthwiseConvolutionLayer.hinclude / exec / train / ITrainableFunction.h
    ElementwiseActivationLayer.hinclude / backend / IPortableTensor.h
    ElementwiseActivationLayer.hinclude / exec / train / ITrainableFunction.h
    FullyConnectedLayer.hinclude / exec / train / ITrainableFunction.h
    GradientApplier.ccinclude / exec / train / optimizer / Optimizer.h
    GradientApplier.hinclude / exec / train / IGradientApplier.h
    GradientApplier.hinclude / exec / train / optimizer / Optimizer.h
    LossLayer.hinclude / backend / IPortableTensor.h
    LossLayer.hinclude / exec / train / ITrainableFunction.h
    MeanLayer.hinclude / backend / IPortableTensor.h
    MeanLayer.hinclude / exec / train / ITrainableFunction.h
    PadLayer.hinclude / backend / IPortableTensor.h
    PadLayer.hinclude / exec / train / ITrainableFunction.h
    PoolLayer.hinclude / exec / train / ITrainableFunction.h
    ReshapeLayer.hinclude / backend / IPortableTensor.h
    ReshapeLayer.hinclude / exec / train / ITrainableFunction.h
    SoftMaxLayer.hinclude / backend / IPortableTensor.h
    SoftMaxLayer.hinclude / exec / train / ITrainableFunction.h
    +

    ops → core Relation

    File in runtime/onert/backend/ruy/opsIncludes file in runtime/onert/core
    ConvolutionLayer.ccinclude / ir / Padding.h
    ConvolutionLayer.hinclude / exec / IFunction.h
    ConvolutionLayer.hinclude / backend / IPortableTensor.h
    FullyConnectedLayer.hinclude / exec / IFunction.h
    FullyConnectedLayer.hinclude / backend / IPortableTensor.h
    OperationUtils.hinclude / util / CalculateActivationRange.h
    OperationUtils.hinclude / backend / IPortableTensor.h
    OperationUtils.hinclude / ir / Padding.h
    diff --git a/dir_000683_000124.html b/dir_000683_000124.html new file mode 100644 index 00000000000..f12676420ff --- /dev/null +++ b/dir_000683_000124.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: runtime/onert/backend/train/ops -> compute Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    ops → compute Relation

    File in runtime/onert/backend/train/opsIncludes file in compute
    BinaryArithmeticLayer.cccker / include / cker / train / operation / BinaryArithmetic.h
    BinaryArithmeticLayer.cccker / include / cker / operation / BinaryArithmeticOps.h
    BinaryArithmeticLayer.cccker / include / cker / train / operation / ReLU.h
    BinaryArithmeticLayer.cccker / include / cker / Shape.h
    ConvolutionLayer.cccker / include / cker / operation / Conv.h
    ConvolutionLayer.cccker / include / cker / train / operation / Conv.h
    ConvolutionLayer.cccker / include / cker / train / operation / ReLU.h
    ConvolutionLayer.cccker / include / cker / operation / Transpose.h
    ConvolutionLayer.cccker / include / cker / operation / TransposeConv.h
    DepthwiseConvolutionLayer.cccker / include / cker / train / operation / ReLU.h
    DepthwiseConvolutionLayer.hcker / include / cker / train / operation / DepthwiseConv.h
    ElementwiseActivationLayer.cccker / include / cker / train / operation / ReLU.h
    ElementwiseActivationLayer.cccker / include / cker / train / operation / ReLU6.h
    FullyConnectedLayer.cccker / include / cker / train / operation / FullyConnected.h
    FullyConnectedLayer.cccker / include / cker / operation / FullyConnected.h
    FullyConnectedLayer.cccker / include / cker / train / operation / ReLU.h
    FullyConnectedLayer.cccker / include / cker / operation / Transpose.h
    LossCategoricalCrossentropyLayer.cccker / include / cker / train / operation / Loss.h
    LossMeanSquaredErrorLayer.cccker / include / cker / train / operation / Loss.h
    MeanLayer.cccker / include / cker / operation / BinaryArithmeticOps.h
    MeanLayer.cccker / include / cker / train / operation / ReduceMean.h
    MeanLayer.cccker / include / cker / Shape.h
    OperationUtils.cccker / include / cker / eigen / redux_functor.h
    OperationUtils.cccker / include / cker / train / operation / ReLU.h
    OperationUtils.cccker / include / cker / train / operation / ReLU6.h
    PadLayer.cccker / include / cker / train / operation / Pad.h
    PoolLayer.cccker / include / cker / train / operation / MaxPool.h
    PoolLayer.cccker / include / cker / train / operation / ReLU.h
    PoolLayer.cccker / include / cker / Utils.h
    SoftMaxLayer.cccker / include / cker / train / operation / SoftMax.h
    +
    + + + + diff --git a/dir_000683_000159.html b/dir_000683_000159.html index 31259fbe1ca..beea9e9f3ae 100644 --- a/dir_000683_000159.html +++ b/dir_000683_000159.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/backend/trix/ops -> core Relation +ONE - On-device Neural Engine: runtime/onert/backend/train/ops -> core Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    ops → core Relation

    File in runtime/onert/backend/trix/opsIncludes file in runtime/onert/core
    BulkLayer.hinclude / exec / IFunction.h
    BulkLayer.hinclude / backend / IPortableTensor.h
    +

    ops → core Relation

    File in runtime/onert/backend/train/opsIncludes file in runtime/onert/core
    BinaryArithmeticLayer.hinclude / backend / IPortableTensor.h
    BinaryArithmeticLayer.hinclude / exec / train / ITrainableFunction.h
    ConvolutionLayer.hinclude / exec / train / ITrainableFunction.h
    DepthwiseConvolutionLayer.hinclude / backend / basic / Allocator.h
    DepthwiseConvolutionLayer.hinclude / exec / train / ITrainableFunction.h
    ElementwiseActivationLayer.hinclude / backend / IPortableTensor.h
    ElementwiseActivationLayer.hinclude / exec / train / ITrainableFunction.h
    FullyConnectedLayer.hinclude / exec / train / ITrainableFunction.h
    GradientApplier.ccinclude / exec / train / optimizer / Optimizer.h
    GradientApplier.hinclude / exec / train / IGradientApplier.h
    GradientApplier.hinclude / exec / train / optimizer / Optimizer.h
    LossLayer.hinclude / backend / IPortableTensor.h
    LossLayer.hinclude / exec / train / ITrainableFunction.h
    MeanLayer.hinclude / backend / IPortableTensor.h
    MeanLayer.hinclude / exec / train / ITrainableFunction.h
    PadLayer.hinclude / backend / IPortableTensor.h
    PadLayer.hinclude / exec / train / ITrainableFunction.h
    PoolLayer.hinclude / exec / train / ITrainableFunction.h
    ReshapeLayer.hinclude / backend / IPortableTensor.h
    ReshapeLayer.hinclude / exec / train / ITrainableFunction.h
    SoftMaxLayer.hinclude / backend / IPortableTensor.h
    SoftMaxLayer.hinclude / exec / train / ITrainableFunction.h
    diff --git a/dir_000684_000159.html b/dir_000684_000159.html index 36440a70056..31259fbe1ca 100644 --- a/dir_000684_000159.html +++ b/dir_000684_000159.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/backend/xnnpack/ops -> core Relation +ONE - On-device Neural Engine: runtime/onert/backend/trix/ops -> core Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    ops → core Relation

    File in runtime/onert/backend/trix/opsIncludes file in runtime/onert/core
    BulkLayer.hinclude / exec / IFunction.h
    BulkLayer.hinclude / backend / IPortableTensor.h
    diff --git a/dir_000685_000159.html b/dir_000685_000159.html new file mode 100644 index 00000000000..36440a70056 --- /dev/null +++ b/dir_000685_000159.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: runtime/onert/backend/xnnpack/ops -> core Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + + +
    + + + + diff --git a/dir_000686_000352.html b/dir_000686_000352.html deleted file mode 100644 index c7c1e39e902..00000000000 --- a/dir_000686_000352.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/nnc/passes/optimizations -> include Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - - - - - - diff --git a/dir_000685_000542.html b/dir_000686_000543.html similarity index 100% rename from dir_000685_000542.html rename to dir_000686_000543.html diff --git a/dir_000685_000711.html b/dir_000686_000712.html similarity index 100% rename from dir_000685_000711.html rename to dir_000686_000712.html diff --git a/dir_000687_000352.html b/dir_000687_000352.html index ae616ffa7fd..c7c1e39e902 100644 --- a/dir_000687_000352.html +++ b/dir_000687_000352.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnc/unittests/optimizations -> include Relation +ONE - On-device Neural Engine: compiler/nnc/passes/optimizations -> include Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    optimizations → include Relation

    File in compiler/nnc/passes/optimizationsIncludes file in compiler/nnc/include
    CombineTransposes.cpppasses / optimizations / CombineTransposes.h
    ConstantFoldTranspose.cpppasses / optimizations / ConstantFoldTranspose.h
    ConstantFoldTranspose.cpppasses / optimizations / OptimizationUtils.h
    DeadCodeElimination.cpppasses / optimizations / DeadCodeElimination.h
    FuseArithmeticOps.cpppasses / optimizations / FuseArithmeticOps.h
    FuseArithmeticOps.cpppasses / optimizations / OptimizationUtils.h
    OptimizationUtils.cpppasses / optimizations / OptimizationUtils.h
    SinkRelu.cpppasses / optimizations / OptimizationUtils.h
    SinkRelu.cpppasses / optimizations / SinkRelu.h
    SinkTranspose.cpppasses / optimizations / OptimizationUtils.h
    SinkTranspose.cpppasses / optimizations / SinkTranspose.h
    diff --git a/dir_000686_000542.html b/dir_000687_000543.html similarity index 100% rename from dir_000686_000542.html rename to dir_000687_000543.html diff --git a/dir_000688_000352.html b/dir_000688_000352.html new file mode 100644 index 00000000000..ae616ffa7fd --- /dev/null +++ b/dir_000688_000352.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/nnc/unittests/optimizations -> include Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
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    + + + + diff --git a/dir_000687_000542.html b/dir_000688_000543.html similarity index 100% rename from dir_000687_000542.html rename to dir_000688_000543.html diff --git a/dir_000688_000156.html b/dir_000689_000156.html similarity index 100% rename from dir_000688_000156.html rename to dir_000689_000156.html diff --git a/dir_000689_000390.html b/dir_000690_000390.html similarity index 100% rename from dir_000689_000390.html rename to dir_000690_000390.html diff --git a/dir_000691_000206.html b/dir_000691_000206.html index 4080271510c..2380a7166ee 100644 --- a/dir_000691_000206.html +++ b/dir_000691_000206.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compute/cker/include/cker/train/optimizer -> eigen Relation +ONE - On-device Neural Engine: compute/cker/include/cker/operation/optimized -> eigen Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    optimizer → eigen Relation

    File in compute/cker/include/cker/train/optimizerIncludes file in compute/cker/include/cker/eigen
    Adam.hEigenSupport.h
    Adam.htraining_ops.h
    SGD.hEigenSupport.h
    SGD.htraining_ops.h
    +

    optimized → eigen Relation

    File in compute/cker/include/cker/operation/optimizedIncludes file in compute/cker/include/cker/eigen
    Conv.hEigenSupport.h
    Conv.hUtils.h
    Gemm.heigen_gemm_eigen.h
    diff --git a/dir_000690_000257.html b/dir_000691_000257.html similarity index 100% rename from dir_000690_000257.html rename to dir_000691_000257.html diff --git a/dir_000690_000586.html b/dir_000691_000587.html similarity index 100% rename from dir_000690_000586.html rename to dir_000691_000587.html diff --git a/dir_000690_000763.html b/dir_000691_000764.html similarity index 100% rename from dir_000690_000763.html rename to dir_000691_000764.html diff --git a/dir_000690_000206.html b/dir_000692_000206.html similarity index 74% rename from dir_000690_000206.html rename to dir_000692_000206.html index 2380a7166ee..4080271510c 100644 --- a/dir_000690_000206.html +++ b/dir_000692_000206.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compute/cker/include/cker/operation/optimized -> eigen Relation +ONE - On-device Neural Engine: compute/cker/include/cker/train/optimizer -> eigen Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    optimized → eigen Relation

    File in compute/cker/include/cker/operation/optimizedIncludes file in compute/cker/include/cker/eigen
    Conv.hEigenSupport.h
    Conv.hUtils.h
    Gemm.heigen_gemm_eigen.h
    +

    optimizer → eigen Relation

    File in compute/cker/include/cker/train/optimizerIncludes file in compute/cker/include/cker/eigen
    Adam.hEigenSupport.h
    Adam.htraining_ops.h
    SGD.hEigenSupport.h
    SGD.htraining_ops.h
    diff --git a/dir_000692_000124.html b/dir_000693_000124.html similarity index 100% rename from dir_000692_000124.html rename to dir_000693_000124.html diff --git a/dir_000692_000159.html b/dir_000693_000159.html similarity index 100% rename from dir_000692_000159.html rename to dir_000693_000159.html diff --git a/dir_000692_000448.html b/dir_000693_000448.html similarity index 100% rename from dir_000692_000448.html rename to dir_000693_000448.html diff --git a/dir_000692_000682.html b/dir_000693_000683.html similarity index 100% rename from dir_000692_000682.html rename to dir_000693_000683.html diff --git a/dir_000693_000049.html b/dir_000694_000049.html similarity index 100% rename from dir_000693_000049.html rename to dir_000694_000049.html diff --git a/dir_000701_000455.html b/dir_000702_000455.html similarity index 100% rename from dir_000701_000455.html rename to dir_000702_000455.html diff --git a/dir_000701_000480.html b/dir_000702_000480.html similarity index 100% rename from dir_000701_000480.html rename to dir_000702_000480.html diff --git a/dir_000703_000121.html b/dir_000704_000121.html similarity index 100% rename from dir_000703_000121.html rename to dir_000704_000121.html diff --git a/dir_000704_000156.html b/dir_000705_000156.html similarity index 85% rename from dir_000704_000156.html rename to dir_000705_000156.html index 64c67fcf4f8..307c0d84b04 100644 --- a/dir_000704_000156.html +++ b/dir_000705_000156.html @@ -89,7 +89,7 @@
    -

    pal → core Relation

    File in onert-micro/onert-micro/include/palIncludes file in onert-micro/onert-micro/include/core
    common / PALAbs.hOMRuntimeShape.h
    common / PALArithmeticOpCommon.hOMKernelData.h
    common / PALMaxPool2DCommon.hOMKernelData.h
    common / ProcessBroadcastShapes.hOMKernelData.h
    common / ProcessBroadcastShapes.hOMRuntimeShape.h
    +

    pal → core Relation

    File in onert-micro/onert-micro/include/palIncludes file in onert-micro/onert-micro/include/core
    common / PALAbs.hOMRuntimeShape.h
    common / PALArithmeticOpCommon.hOMKernelData.h
    common / PALMaxPool2DCommon.hOMKernelData.h
    common / PALSoftmaxCommon.hOMKernelData.h
    common / ProcessBroadcastShapes.hOMKernelData.h
    common / ProcessBroadcastShapes.hOMRuntimeShape.h
    +

    partition → lang Relation

    File in compiler/luci/partitionIncludes file in compiler/luci/lang
    include / luci / ConnectNode.hinclude / luci / IR / CircleNode.h
    include / luci / ConnectNode.hinclude / luci / IR / CircleNodeVisitor.h
    include / luci / Partition.hinclude / luci / IR / Module.h
    include / luci / PartitionValidate.hinclude / luci / IR / Module.h
    src / CircleOpCode.cppinclude / luci / IR / CircleNodes.h
    src / CircleOpCode.cppinclude / luci / IR / CircleNodeVisitor.h
    src / CircleOpCode.hinclude / luci / IR / CircleNode.h
    src / PartitionCleanup.hinclude / luci / IR / Module.h
    src / PartitionIR.hinclude / luci / IR / CircleNodes.h
    src / PartitionPGroups.cppinclude / luci / IR / CircleNodes.h
    src / PartitionPGroups.cppinclude / luci / IR / CircleNodeVisitor.h
    src / PartitionPGroups.hinclude / luci / IR / Module.h
    @@ -89,12 +89,12 @@
    +

    partition → loco Relation

    File in compiler/luci/partitionIncludes file in compiler/loco
    src / PartitionPGroups.cppinclude / loco.h
    src / PartitionPModules.cppinclude / loco.h
    diff --git a/dir_000705_000464.html b/dir_000706_000464.html similarity index 100% rename from dir_000705_000464.html rename to dir_000706_000464.html diff --git a/dir_000705_000468.html b/dir_000706_000468.html similarity index 100% rename from dir_000705_000468.html rename to dir_000706_000468.html diff --git a/dir_000706_000478.html b/dir_000706_000478.html deleted file mode 100644 index 250e45c051d..00000000000 --- a/dir_000706_000478.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/exo/src/Pass -> logo-core Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
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    Loading...
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    No Matches
    -
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    - - -
    - - - - diff --git a/dir_000705_000656.html b/dir_000706_000657.html similarity index 100% rename from dir_000705_000656.html rename to dir_000706_000657.html diff --git a/dir_000705_000731.html b/dir_000706_000732.html similarity index 100% rename from dir_000705_000731.html rename to dir_000706_000732.html diff --git a/dir_000705_000797.html b/dir_000706_000798.html similarity index 100% rename from dir_000705_000797.html rename to dir_000706_000798.html diff --git a/dir_000706_000027.html b/dir_000707_000027.html similarity index 100% rename from dir_000706_000027.html rename to dir_000707_000027.html diff --git a/dir_000706_000179.html b/dir_000707_000179.html similarity index 100% rename from dir_000706_000179.html rename to dir_000707_000179.html diff --git a/dir_000707_000442.html b/dir_000707_000442.html deleted file mode 100644 index ccf118940d5..00000000000 --- a/dir_000707_000442.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/luci/pass -> lang Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
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    Loading...
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    Searching...
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    No Matches
    -
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    -
    - -
    -

    pass → lang Relation

    File in compiler/luci/passIncludes file in compiler/luci/lang
    include / luci / CircleOptimizer.hinclude / luci / IR / Module.h
    src / helpers / Compute.hinclude / luci / IR / CircleNodes.h
    src / helpers / CreateCircleConst.hinclude / luci / IR / CircleNodes.h
    include / luci / DynamicBatchToSingleBatch.hinclude / luci / IR / Module.h
    src / helpers / ExpressionCache.hinclude / luci / IR / CircleNodes.h
    src / helpers / InferenceCandidates.cppinclude / luci / IR / DeadNodeQueryService.h
    src / helpers / LayerInfoMap.cppinclude / luci / IR / CircleNode.h
    include / luci / ModulePass.hinclude / luci / IR / Module.h
    src / helpers / Shape.hinclude / luci / IR / CircleNodes.h
    src / helpers / SparsityFormatConverter.cppinclude / luci / IR / SparsityParam.h
    src / helpers / SparsityFormatConverter.hinclude / luci / IR / SparsityParam.h
    include / luci / Pass / FusePreActivationBatchNormPass.hinclude / luci / IR / CircleNodes.h
    include / luci / Pass / RemoveDuplicateConstPass.hinclude / luci / IR / CircleNodes.h
    include / luci / Pass / SparsifyTensorPass.hinclude / luci / IR / SparsityParam.h
    src / BatchNormPatternFinder.cppinclude / luci / IR / CircleNodes.h
    src / BatchNormPatternFinder.hinclude / luci / IR / CircleNodes.h
    src / CircleOptimizer.cppinclude / luci / IR / CircleNodes.h
    src / CircleQuantizer.cppinclude / luci / IR / CircleNode.h
    src / CommonSubExpressionEliminationPass.cppinclude / luci / IR / CircleNodes.h
    src / ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodes.h
    src / ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodes.h
    src / ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / CopyQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    src / DecomposeHardSwishPass.cppinclude / luci / IR / CircleNodes.h
    src / DecomposeSoftmaxPass.cppinclude / luci / IR / CircleNodes.h
    src / DynamicBatchToSingleBatchPass.cppinclude / luci / IR / CircleNode.h
    src / ExpandBroadcastConstPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldAddV2Pass.cppinclude / luci / IR / CircleNodes.h
    src / FoldCastPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldDensifyPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldDepthwiseConv2DPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldDepthwiseConv2DPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / FoldDequantizePass.cppinclude / luci / IR / CircleNodes.h
    src / FoldFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldFullyConnectedPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / FoldGatherPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldShapePass.cppinclude / luci / IR / CircleNodes.h
    src / FoldSparseToDensePass.cppinclude / luci / IR / CircleNodes.h
    src / ForceQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    src / ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodes.h
    src / ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodes.h
    src / ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodeMixins.h
    src / FuseActivationFunctionPass.cppinclude / luci / IR / CircleOpcode.h
    src / FuseAddWithConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseAddWithFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseAddWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBatchNormWithConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBatchNormWithDwConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBatchNormWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBCQPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseGeluPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseHorizontalFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseInstanceNormPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseInstanceNormPassInternal.hinclude / luci / IR / CircleNodes.h
    src / FuseMeanWithMeanPass.cppinclude / luci / IR / CircleNode.h
    src / FuseMulWithConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseMulWithDivPass.cppinclude / luci / IR / CircleNodes.h
    src / FusePreActivationBatchNormPass.cppinclude / luci / IR / CircleNodes.h
    src / FusePreActivationBatchNormPassInternal.hinclude / luci / IR / CircleNodes.h
    src / FusePReluPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseSliceWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseTransposeWithMeanPass.cppinclude / luci / IR / CircleNode.h
    src / MakeBatchNormGammaPositivePass.cppinclude / luci / IR / CircleNodes.h
    src / PassTestGraphs.hinclude / luci / IR / CircleNodes.h
    src / ProgressReporter.hinclude / luci / IR / Module.h
    src / PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodes.h
    src / PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodes.h
    src / PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizationUtils.hinclude / luci / IR / CircleNodes.h
    src / QuantizeActivation.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeBias.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizedModelVerifier.cppinclude / luci / IR / CircleNodes.h
    src / QuantizedModelVerifier.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeOnnxDequantizeLinearPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeOnnxFakeQuantModelPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeOnnxQDQPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWeights.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWeightsOnly.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWithPredecessorPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeWithPredecessorPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / RemoveFakeQuantPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveGatherGuardPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveQuantDequantSeqPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveRedundantDequantizePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveRedundantQuantizePass.cppinclude / luci / IR / CircleNode.h
    src / RemoveRedundantReshape.cppinclude / luci / IR / CircleNodes.h
    src / RemoveRedundantTransposePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryAddPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryReshapeNetPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessarySlicePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessarySplitPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryStridedSlicePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryTransposeNetPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceMulAddWithDepthwiseConvPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceNonConstFCWithBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceSubWithAddPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceWithFCGeluFCPass.cppinclude / luci / IR / CircleNodes.h
    src / RequantizePass.cppinclude / luci / IR / CircleNodes.h
    src / RequantizePass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / ResolveCustomOpAddPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpAddPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / ResolveCustomOpBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpMatMulPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpSplitVPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveFormerCustomOpPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveFormerCustomOpPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / ShuffleWeightTo16x1Float32Pass.cppinclude / luci / IR / CircleNodes.h
    src / Sparsifier.hinclude / luci / IR / SparsityParam.h
    src / SparsifyTensorPass.cppinclude / luci / IR / CircleNodes.h
    src / SubstitutePackToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / SubstitutePadV2ToPadPass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteSplitVToSplitPass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteSqueezeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteStridedSliceToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteTransposeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / TransformMinMaxToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    src / TransformMinReluToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    src / UnrollUnidirectionalSequenceLSTMPass.cppinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodeVisitor.h
    src / VerifyQuantizedNodeGranularity.cppinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodeVisitor.h
    src / VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodeVisitor.h
    src / XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodes.h
    src / XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodeMixins.h
    -
    - - - - diff --git a/dir_000707_000455.html b/dir_000707_000455.html index d0cdc8d3af0..407f6e9a966 100644 --- a/dir_000707_000455.html +++ b/dir_000707_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/pass -> loco Relation +ONE - On-device Neural Engine: compiler/exo/src/Pass -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    pass → loco Relation

    File in compiler/luci/passIncludes file in compiler/loco
    include / luci / CircleOptimizer.hinclude / loco.h
    include / luci / CircleQuantizer.hinclude / loco.h
    src / helpers / InferenceCandidates.hinclude / loco.h
    include / luci / ModulePass.hinclude / loco.h
    src / helpers / Strings.hinclude / loco.h
    src / helpers / TypeMapper.hinclude / loco / IR / DataType.h
    include / luci / Pass / CircleShapeInferencePass.hinclude / loco.h
    include / luci / Pass / CircleTypeInferencePass.hinclude / loco.h
    include / luci / Pass / CopyQuantParamPass.hinclude / loco.h
    include / luci / Pass / ForceQuantParamPass.hinclude / loco.h
    include / luci / Pass / FuseMulWithDivPass.hinclude / loco.h
    include / luci / Pass / QuantizationParameters.hinclude / loco.h
    include / luci / Pass / QuantizeDequantizeWeightsPass.hinclude / loco.h
    include / luci / Pass / QuantizeOnnxFakeQuantModelPass.hinclude / loco.h
    include / luci / Pass / QuantizeWeightsPass.hinclude / loco.h
    include / luci / Pass / QuantizeWithMinMaxPass.hinclude / loco.h
    include / luci / Pass / RequantizePass.hinclude / loco.h
    src / CircleShapeInferencePass.cppinclude / loco.h
    src / CircleTypeInferencePass.cppinclude / loco.h
    src / DynamicBatchToSingleBatchPass.cppinclude / loco.h
    src / PassTestGraphs.hinclude / loco.h
    src / ProgressReporter.hinclude / loco.h
    src / QuantizationUtils.hinclude / loco / IR / TensorShape.h
    src / QuantizeDequantizeWeightsPass.cppinclude / loco / IR / TensorShape.h
    src / QuantizedModelVerifier.hinclude / loco.h
    src / ResolveCustomOpMatMulPass.cppinclude / loco / IR / DataTypeTraits.h
    src / ResolveCustomOpMatMulPass.cppinclude / loco.h
    src / ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / loco / IR / DataTypeTraits.h
    src / ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / loco.h
    src / SubstituteSplitVToSplitPass.cppinclude / loco.h
    +

    Pass → loco Relation

    File in compiler/exo/src/PassIncludes file in compiler/loco
    FoldReshapeOfConstPass.cppinclude / loco / Service / ShapeInference.h
    FuseBiasAddPass.cppinclude / loco / Service / ShapeInference.h
    FuseBiasAddPass.cppinclude / loco / Service / TypeInference.h
    FuseInstanceNormPass.cppinclude / loco / Service / ShapeInference.h
    MergeConcatNodesPass.hinclude / loco.h
    ShapeInferencePass.cppinclude / loco / IR / CanonicalDialect.h
    ShapeInferencePass.cppinclude / loco / Service / CanonicalShapeInferenceRule.h
    ShapeInferencePass.cppinclude / loco.h
    ShapeInferencePass.cppinclude / loco / Service / MultiDialectShapeInferenceRule.h
    ShapeInferencePass.cppinclude / loco / Service / ShapeInference.h
    ShapeInferencePass.hinclude / loco.h
    TypeInferencePass.cppinclude / loco / IR / CanonicalDialect.h
    TypeInferencePass.cppinclude / loco.h
    TypeInferencePass.cppinclude / loco / Service / TypeInference.h
    TypeInferencePass.hinclude / loco.h
    diff --git a/dir_000706_000458.html b/dir_000707_000458.html similarity index 100% rename from dir_000706_000458.html rename to dir_000707_000458.html diff --git a/dir_000707_000478.html b/dir_000707_000478.html index 22c630899a7..250e45c051d 100644 --- a/dir_000707_000478.html +++ b/dir_000707_000478.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/pass -> logo-core Relation +ONE - On-device Neural Engine: compiler/exo/src/Pass -> logo-core Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    pass → logo-core Relation

    File in compiler/luci/passIncludes file in compiler/logo-core
    include / luci / ModulePass.hinclude / logo / Pass.h
    include / luci / Pass / CommonSubExpressionEliminationPass.hinclude / logo / Pass.h
    include / luci / Pass / ConvertNCHWToNHWCPass.hinclude / logo / Pass.h
    include / luci / Pass / ConvertToFakeQuantizedModelPass.hinclude / logo / Pass.h
    include / luci / Pass / CopyQuantParamPass.hinclude / logo / Pass.h
    include / luci / Pass / DecomposeHardSwishPass.hinclude / logo / Pass.h
    include / luci / Pass / DecomposeSoftmaxPass.hinclude / logo / Pass.h
    include / luci / Pass / DynamicBatchToSingleBatchPass.hinclude / logo / Pass.h
    include / luci / Pass / ExpandBroadcastConstPass.hinclude / logo / Pass.h
    include / luci / Pass / FoldAddV2Pass.hinclude / logo / Pass.h
    include / luci / Pass / FoldCastPass.hinclude / logo / Pass.h
    include / luci / Pass / FoldDensifyPass.hinclude / logo / Pass.h
    include / luci / Pass / FoldDepthwiseConv2DPass.hinclude / logo / Pass.h
    include / luci / Pass / FoldDequantizePass.hinclude / logo / Pass.h
    include / luci / Pass / FoldFullyConnectedPass.hinclude / logo / Pass.h
    include / luci / Pass / FoldGatherPass.hinclude / logo / Pass.h
    include / luci / Pass / FoldShapePass.hinclude / logo / Pass.h
    include / luci / Pass / FoldSparseToDensePass.hinclude / logo / Pass.h
    include / luci / Pass / ForceQuantParamPass.hinclude / logo / Pass.h
    include / luci / Pass / ForwardReshapeToUnaryOpPass.hinclude / logo / Pass.h
    include / luci / Pass / ForwardTransposeOpPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseActivationFunctionPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseAddWithConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseAddWithFullyConnectedPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseAddWithTConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseBatchNormWithConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseBatchNormWithDwConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseBatchNormWithTConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseGeluPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseHorizontalFullyConnectedPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseInstanceNormPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseMeanWithMeanPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseMulWithConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FusePreActivationBatchNormPass.hinclude / logo / Pass.h
    include / luci / Pass / FusePReluPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseSliceWithTConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseTransposeWithMeanPass.hinclude / logo / Pass.h
    include / luci / Pass / MakeBatchNormGammaPositivePass.hinclude / logo / Pass.h
    include / luci / Pass / PropagateQParamBackwardPass.hinclude / logo / Pass.h
    include / luci / Pass / PropagateQParamForwardPass.hinclude / logo / Pass.h
    include / luci / Pass / QuantizeDequantizeWeightsPass.hinclude / logo / Pass.h
    include / luci / Pass / QuantizeOnnxFakeQuantModelPass.hinclude / logo / Pass.h
    include / luci / Pass / QuantizePreCheckerPass.hinclude / logo / Pass.h
    include / luci / Pass / QuantizeWeightsPass.hinclude / logo / Pass.h
    include / luci / Pass / QuantizeWithMinMaxPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveDuplicateConstPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveFakeQuantPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveGatherGuardPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveQuantDequantSeqPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveRedundantDequantizePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveRedundantQuantizePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveRedundantReshapePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveRedundantTransposePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessaryAddPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessaryReshapeNetPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessaryReshapePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessarySlicePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessarySplitPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessaryStridedSlicePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessaryTransposeNetPass.hinclude / logo / Pass.h
    include / luci / Pass / ReplaceMulAddWithDepthwiseConvPass.hinclude / logo / Pass.h
    include / luci / Pass / ReplaceNonConstFCWithBatchMatMulPass.hinclude / logo / Pass.h
    include / luci / Pass / ReplaceSubWithAddPass.hinclude / logo / Pass.h
    include / luci / Pass / ReplaceWithFCGeluFCPass.hinclude / logo / Pass.h
    include / luci / Pass / RequantizePass.hinclude / logo / Pass.h
    include / luci / Pass / ResolveCustomOpAddPass.hinclude / logo / Pass.h
    include / luci / Pass / ResolveCustomOpBatchMatMulPass.hinclude / logo / Pass.h
    include / luci / Pass / ResolveCustomOpMatMulPass.hinclude / logo / Pass.h
    include / luci / Pass / ResolveCustomOpMaxPoolWithArgmaxPass.hinclude / logo / Pass.h
    include / luci / Pass / ResolveCustomOpSplitVPass.hinclude / logo / Pass.h
    include / luci / Pass / ResolveFormerCustomOpPass.hinclude / logo / Pass.h
    include / luci / Pass / ShuffleWeightTo16x1Float32Pass.hinclude / logo / Pass.h
    include / luci / Pass / SparsifyTensorPass.hinclude / logo / Pass.h
    include / luci / Pass / SubstitutePackToReshapePass.hinclude / logo / Pass.h
    include / luci / Pass / SubstitutePadV2ToPadPass.hinclude / logo / Pass.h
    include / luci / Pass / SubstituteSplitVToSplitPass.hinclude / logo / Pass.h
    include / luci / Pass / SubstituteSqueezeToReshapePass.hinclude / logo / Pass.h
    include / luci / Pass / SubstituteStridedSliceToReshapePass.hinclude / logo / Pass.h
    include / luci / Pass / SubstituteTransposeToReshapePass.hinclude / logo / Pass.h
    include / luci / Pass / TransformMinMaxToRelu6Pass.hinclude / logo / Pass.h
    include / luci / Pass / TransformMinReluToRelu6Pass.hinclude / logo / Pass.h
    include / luci / Pass / UnrollUnidirectionalSequenceLSTMPass.hinclude / logo / Pass.h
    include / luci / Pass / XpSepActFromTransposeConvPass.hinclude / logo / Pass.h
    src / CircleOptimizer.cppinclude / logo / Phase.h
    src / CircleQuantizer.cppinclude / logo / Phase.h
    src / DynamicBatchToSingleBatch.cppinclude / logo / Phase.h
    src / ModulePhase.hinclude / logo / Phase.h
    src / ProgressReporter.cppinclude / logo / Phase.h
    src / ProgressReporter.cppinclude / logo / Pass.h
    src / ProgressReporter.hinclude / logo / Phase.h
    src / QuantizeOnnxDequantizeLinearPass.hinclude / logo / Pass.h
    src / QuantizeOnnxQDQPass.hinclude / logo / Pass.h
    src / QuantizeWithMinMaxPass.cppinclude / logo / Phase.h
    src / QuantizeWithPredecessorPass.hinclude / logo / Pass.h
    +

    Pass → logo-core Relation

    File in compiler/exo/src/PassIncludes file in compiler/logo-core
    FoldReshapeOfConstPass.hinclude / logo / Pass.h
    FoldTransposeOfConstPass.hinclude / logo / Pass.h
    FuseBiasAddPass.hinclude / logo / Pass.h
    FuseInstanceNormPass.hinclude / logo / Pass.h
    FuseReluPass.hinclude / logo / Pass.h
    FuseRsqrtPass.hinclude / logo / Pass.h
    FuseSquaredDifferencePass.hinclude / logo / Pass.h
    MergeConcatNodesPass.hinclude / logo / Pass.h
    ShapeInferencePass.hinclude / logo / Pass.h
    TypeInferencePass.hinclude / logo / Pass.h
    diff --git a/dir_000706_000656.html b/dir_000707_000657.html similarity index 100% rename from dir_000706_000656.html rename to dir_000707_000657.html diff --git a/dir_000708_000442.html b/dir_000708_000442.html index 0c1da6c0744..ac1528f2bbd 100644 --- a/dir_000708_000442.html +++ b/dir_000708_000442.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/pass/include/luci/Pass -> lang Relation +ONE - On-device Neural Engine: compiler/luci/pass -> lang Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Pass → lang Relation

    File in compiler/luci/pass/include/luci/PassIncludes file in compiler/luci/lang
    FusePreActivationBatchNormPass.hinclude / luci / IR / CircleNodes.h
    RemoveDuplicateConstPass.hinclude / luci / IR / CircleNodes.h
    SparsifyTensorPass.hinclude / luci / IR / SparsityParam.h
    +

    pass → lang Relation

    File in compiler/luci/passIncludes file in compiler/luci/lang
    include / luci / CircleOptimizer.hinclude / luci / IR / Module.h
    src / helpers / Compute.hinclude / luci / IR / CircleNodes.h
    src / helpers / CreateCircleConst.hinclude / luci / IR / CircleNodes.h
    include / luci / DynamicBatchToSingleBatch.hinclude / luci / IR / Module.h
    src / helpers / ExpressionCache.hinclude / luci / IR / CircleNodes.h
    src / helpers / InferenceCandidates.cppinclude / luci / IR / DeadNodeQueryService.h
    src / helpers / LayerInfoMap.cppinclude / luci / IR / CircleNode.h
    include / luci / ModulePass.hinclude / luci / IR / Module.h
    src / helpers / Shape.hinclude / luci / IR / CircleNodes.h
    src / helpers / SparsityFormatConverter.cppinclude / luci / IR / SparsityParam.h
    src / helpers / SparsityFormatConverter.hinclude / luci / IR / SparsityParam.h
    include / luci / Pass / FusePreActivationBatchNormPass.hinclude / luci / IR / CircleNodes.h
    include / luci / Pass / RemoveDuplicateConstPass.hinclude / luci / IR / CircleNodes.h
    include / luci / Pass / SparsifyTensorPass.hinclude / luci / IR / SparsityParam.h
    src / BatchNormPatternFinder.cppinclude / luci / IR / CircleNodes.h
    src / BatchNormPatternFinder.hinclude / luci / IR / CircleNodes.h
    src / CircleOptimizer.cppinclude / luci / IR / CircleNodes.h
    src / CircleQuantizer.cppinclude / luci / IR / CircleNode.h
    src / CommonSubExpressionEliminationPass.cppinclude / luci / IR / CircleNodes.h
    src / ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodes.h
    src / ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodes.h
    src / ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / CopyQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    src / DecomposeHardSwishPass.cppinclude / luci / IR / CircleNodes.h
    src / DecomposeSoftmaxPass.cppinclude / luci / IR / CircleNodes.h
    src / DynamicBatchToSingleBatchPass.cppinclude / luci / IR / CircleNode.h
    src / ExpandBroadcastConstPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldAddV2Pass.cppinclude / luci / IR / CircleNodes.h
    src / FoldCastPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldDensifyPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldDepthwiseConv2DPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldDepthwiseConv2DPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / FoldDequantizePass.cppinclude / luci / IR / CircleNodes.h
    src / FoldFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldFullyConnectedPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / FoldGatherPass.cppinclude / luci / IR / CircleNodes.h
    src / FoldShapePass.cppinclude / luci / IR / CircleNodes.h
    src / FoldSparseToDensePass.cppinclude / luci / IR / CircleNodes.h
    src / ForceQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    src / ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodes.h
    src / ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodes.h
    src / ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodeMixins.h
    src / FuseActivationFunctionPass.cppinclude / luci / IR / CircleOpcode.h
    src / FuseAddWithConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseAddWithFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseAddWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBatchNormWithConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBatchNormWithDwConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBatchNormWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseBCQPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseGeluPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseHorizontalFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseInstanceNormPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseInstanceNormPassInternal.hinclude / luci / IR / CircleNodes.h
    src / FuseMeanWithMeanPass.cppinclude / luci / IR / CircleNode.h
    src / FuseMulWithConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseMulWithDivPass.cppinclude / luci / IR / CircleNodes.h
    src / FusePreActivationBatchNormPass.cppinclude / luci / IR / CircleNodes.h
    src / FusePreActivationBatchNormPassInternal.hinclude / luci / IR / CircleNodes.h
    src / FusePReluPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseSliceWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    src / FuseTransposeWithMeanPass.cppinclude / luci / IR / CircleNode.h
    src / MakeBatchNormGammaPositivePass.cppinclude / luci / IR / CircleNodes.h
    src / PassTestGraphs.hinclude / luci / IR / CircleNodes.h
    src / ProgressReporter.hinclude / luci / IR / Module.h
    src / PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodes.h
    src / PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodes.h
    src / PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizationUtils.hinclude / luci / IR / CircleNodes.h
    src / QuantizeActivation.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeBias.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizedModelVerifier.cppinclude / luci / IR / CircleNodes.h
    src / QuantizedModelVerifier.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeOnnxDequantizeLinearPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeOnnxFakeQuantModelPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeOnnxQDQPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWeights.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWeightsOnly.hinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / QuantizeWithPredecessorPass.cppinclude / luci / IR / CircleNodes.h
    src / QuantizeWithPredecessorPass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / RemoveFakeQuantPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveGatherGuardPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveQuantDequantSeqPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveRedundantDequantizePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveRedundantQuantizePass.cppinclude / luci / IR / CircleNode.h
    src / RemoveRedundantReshape.cppinclude / luci / IR / CircleNodes.h
    src / RemoveRedundantTransposePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryAddPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryReshapeNetPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessarySlicePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessarySplitPass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryStridedSlicePass.cppinclude / luci / IR / CircleNodes.h
    src / RemoveUnnecessaryTransposeNetPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceMulAddWithDepthwiseConvPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceNonConstFCWithBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceSubWithAddPass.cppinclude / luci / IR / CircleNodes.h
    src / ReplaceWithFCGeluFCPass.cppinclude / luci / IR / CircleNodes.h
    src / RequantizePass.cppinclude / luci / IR / CircleNodes.h
    src / RequantizePass.cppinclude / luci / IR / CircleNodeVisitor.h
    src / ResolveCustomOpAddPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpAddPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / ResolveCustomOpBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpMatMulPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveCustomOpSplitVPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveFormerCustomOpPass.cppinclude / luci / IR / CircleNodes.h
    src / ResolveFormerCustomOpPass.cppinclude / luci / IR / AttrFusedActFunc.h
    src / ShuffleWeightTo16x1Float32Pass.cppinclude / luci / IR / CircleNodes.h
    src / Sparsifier.hinclude / luci / IR / SparsityParam.h
    src / SparsifyTensorPass.cppinclude / luci / IR / CircleNodes.h
    src / SubstitutePackToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / SubstitutePadV2ToPadPass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteSplitVToSplitPass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteSqueezeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteStridedSliceToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / SubstituteTransposeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    src / TransformMinMaxToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    src / TransformMinReluToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    src / UnrollUnidirectionalSequenceLSTMPass.cppinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodeVisitor.h
    src / VerifyQuantizedNodeGranularity.cppinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodeVisitor.h
    src / VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodes.h
    src / VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodeVisitor.h
    src / XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodes.h
    src / XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodeMixins.h
    diff --git a/dir_000708_000455.html b/dir_000708_000455.html index 366897b9152..d0cdc8d3af0 100644 --- a/dir_000708_000455.html +++ b/dir_000708_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/pass/include/luci/Pass -> loco Relation +ONE - On-device Neural Engine: compiler/luci/pass -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    pass → loco Relation

    File in compiler/luci/passIncludes file in compiler/loco
    include / luci / CircleOptimizer.hinclude / loco.h
    include / luci / CircleQuantizer.hinclude / loco.h
    src / helpers / InferenceCandidates.hinclude / loco.h
    include / luci / ModulePass.hinclude / loco.h
    src / helpers / Strings.hinclude / loco.h
    src / helpers / TypeMapper.hinclude / loco / IR / DataType.h
    include / luci / Pass / CircleShapeInferencePass.hinclude / loco.h
    include / luci / Pass / CircleTypeInferencePass.hinclude / loco.h
    include / luci / Pass / CopyQuantParamPass.hinclude / loco.h
    include / luci / Pass / ForceQuantParamPass.hinclude / loco.h
    include / luci / Pass / FuseMulWithDivPass.hinclude / loco.h
    include / luci / Pass / QuantizationParameters.hinclude / loco.h
    include / luci / Pass / QuantizeDequantizeWeightsPass.hinclude / loco.h
    include / luci / Pass / QuantizeOnnxFakeQuantModelPass.hinclude / loco.h
    include / luci / Pass / QuantizeWeightsPass.hinclude / loco.h
    include / luci / Pass / QuantizeWithMinMaxPass.hinclude / loco.h
    include / luci / Pass / RequantizePass.hinclude / loco.h
    src / CircleShapeInferencePass.cppinclude / loco.h
    src / CircleTypeInferencePass.cppinclude / loco.h
    src / DynamicBatchToSingleBatchPass.cppinclude / loco.h
    src / PassTestGraphs.hinclude / loco.h
    src / ProgressReporter.hinclude / loco.h
    src / QuantizationUtils.hinclude / loco / IR / TensorShape.h
    src / QuantizeDequantizeWeightsPass.cppinclude / loco / IR / TensorShape.h
    src / QuantizedModelVerifier.hinclude / loco.h
    src / ResolveCustomOpMatMulPass.cppinclude / loco / IR / DataTypeTraits.h
    src / ResolveCustomOpMatMulPass.cppinclude / loco.h
    src / ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / loco / IR / DataTypeTraits.h
    src / ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / loco.h
    src / SubstituteSplitVToSplitPass.cppinclude / loco.h
    diff --git a/dir_000707_000464.html b/dir_000708_000464.html similarity index 100% rename from dir_000707_000464.html rename to dir_000708_000464.html diff --git a/dir_000707_000468.html b/dir_000708_000468.html similarity index 100% rename from dir_000707_000468.html rename to dir_000708_000468.html diff --git a/dir_000707_000476.html b/dir_000708_000476.html similarity index 100% rename from dir_000707_000476.html rename to dir_000708_000476.html diff --git a/dir_000708_000478.html b/dir_000708_000478.html index 55b11fa9b31..22c630899a7 100644 --- a/dir_000708_000478.html +++ b/dir_000708_000478.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/pass/include/luci/Pass -> logo-core Relation +ONE - On-device Neural Engine: compiler/luci/pass -> logo-core Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Pass → logo-core Relation

    File in compiler/luci/pass/include/luci/PassIncludes file in compiler/logo-core
    CommonSubExpressionEliminationPass.hinclude / logo / Pass.h
    ConvertNCHWToNHWCPass.hinclude / logo / Pass.h
    ConvertToFakeQuantizedModelPass.hinclude / logo / Pass.h
    CopyQuantParamPass.hinclude / logo / Pass.h
    DecomposeHardSwishPass.hinclude / logo / Pass.h
    DecomposeSoftmaxPass.hinclude / logo / Pass.h
    DynamicBatchToSingleBatchPass.hinclude / logo / Pass.h
    ExpandBroadcastConstPass.hinclude / logo / Pass.h
    FoldAddV2Pass.hinclude / logo / Pass.h
    FoldCastPass.hinclude / logo / Pass.h
    FoldDensifyPass.hinclude / logo / Pass.h
    FoldDepthwiseConv2DPass.hinclude / logo / Pass.h
    FoldDequantizePass.hinclude / logo / Pass.h
    FoldFullyConnectedPass.hinclude / logo / Pass.h
    FoldGatherPass.hinclude / logo / Pass.h
    FoldShapePass.hinclude / logo / Pass.h
    FoldSparseToDensePass.hinclude / logo / Pass.h
    ForceQuantParamPass.hinclude / logo / Pass.h
    ForwardReshapeToUnaryOpPass.hinclude / logo / Pass.h
    ForwardTransposeOpPass.hinclude / logo / Pass.h
    FuseActivationFunctionPass.hinclude / logo / Pass.h
    FuseAddWithConvPass.hinclude / logo / Pass.h
    FuseAddWithFullyConnectedPass.hinclude / logo / Pass.h
    FuseAddWithTConvPass.hinclude / logo / Pass.h
    FuseBatchNormWithConvPass.hinclude / logo / Pass.h
    FuseBatchNormWithDwConvPass.hinclude / logo / Pass.h
    FuseBatchNormWithTConvPass.hinclude / logo / Pass.h
    FuseGeluPass.hinclude / logo / Pass.h
    FuseHorizontalFullyConnectedPass.hinclude / logo / Pass.h
    FuseInstanceNormPass.hinclude / logo / Pass.h
    FuseMeanWithMeanPass.hinclude / logo / Pass.h
    FuseMulWithConvPass.hinclude / logo / Pass.h
    FusePreActivationBatchNormPass.hinclude / logo / Pass.h
    FusePReluPass.hinclude / logo / Pass.h
    FuseSliceWithTConvPass.hinclude / logo / Pass.h
    FuseTransposeWithMeanPass.hinclude / logo / Pass.h
    MakeBatchNormGammaPositivePass.hinclude / logo / Pass.h
    PropagateQParamBackwardPass.hinclude / logo / Pass.h
    PropagateQParamForwardPass.hinclude / logo / Pass.h
    QuantizeDequantizeWeightsPass.hinclude / logo / Pass.h
    QuantizeOnnxFakeQuantModelPass.hinclude / logo / Pass.h
    QuantizePreCheckerPass.hinclude / logo / Pass.h
    QuantizeWeightsPass.hinclude / logo / Pass.h
    QuantizeWithMinMaxPass.hinclude / logo / Pass.h
    RemoveDuplicateConstPass.hinclude / logo / Pass.h
    RemoveFakeQuantPass.hinclude / logo / Pass.h
    RemoveGatherGuardPass.hinclude / logo / Pass.h
    RemoveQuantDequantSeqPass.hinclude / logo / Pass.h
    RemoveRedundantDequantizePass.hinclude / logo / Pass.h
    RemoveRedundantQuantizePass.hinclude / logo / Pass.h
    RemoveRedundantReshapePass.hinclude / logo / Pass.h
    RemoveRedundantTransposePass.hinclude / logo / Pass.h
    RemoveUnnecessaryAddPass.hinclude / logo / Pass.h
    RemoveUnnecessaryReshapeNetPass.hinclude / logo / Pass.h
    RemoveUnnecessaryReshapePass.hinclude / logo / Pass.h
    RemoveUnnecessarySlicePass.hinclude / logo / Pass.h
    RemoveUnnecessarySplitPass.hinclude / logo / Pass.h
    RemoveUnnecessaryStridedSlicePass.hinclude / logo / Pass.h
    RemoveUnnecessaryTransposeNetPass.hinclude / logo / Pass.h
    ReplaceMulAddWithDepthwiseConvPass.hinclude / logo / Pass.h
    ReplaceNonConstFCWithBatchMatMulPass.hinclude / logo / Pass.h
    ReplaceSubWithAddPass.hinclude / logo / Pass.h
    ReplaceWithFCGeluFCPass.hinclude / logo / Pass.h
    RequantizePass.hinclude / logo / Pass.h
    ResolveCustomOpAddPass.hinclude / logo / Pass.h
    ResolveCustomOpBatchMatMulPass.hinclude / logo / Pass.h
    ResolveCustomOpMatMulPass.hinclude / logo / Pass.h
    ResolveCustomOpMaxPoolWithArgmaxPass.hinclude / logo / Pass.h
    ResolveCustomOpSplitVPass.hinclude / logo / Pass.h
    ResolveFormerCustomOpPass.hinclude / logo / Pass.h
    ShuffleWeightTo16x1Float32Pass.hinclude / logo / Pass.h
    SparsifyTensorPass.hinclude / logo / Pass.h
    SubstitutePackToReshapePass.hinclude / logo / Pass.h
    SubstitutePadV2ToPadPass.hinclude / logo / Pass.h
    SubstituteSplitVToSplitPass.hinclude / logo / Pass.h
    SubstituteSqueezeToReshapePass.hinclude / logo / Pass.h
    SubstituteStridedSliceToReshapePass.hinclude / logo / Pass.h
    SubstituteTransposeToReshapePass.hinclude / logo / Pass.h
    TransformMinMaxToRelu6Pass.hinclude / logo / Pass.h
    TransformMinReluToRelu6Pass.hinclude / logo / Pass.h
    UnrollUnidirectionalSequenceLSTMPass.hinclude / logo / Pass.h
    XpSepActFromTransposeConvPass.hinclude / logo / Pass.h
    +

    pass → logo-core Relation

    File in compiler/luci/passIncludes file in compiler/logo-core
    include / luci / ModulePass.hinclude / logo / Pass.h
    include / luci / Pass / CommonSubExpressionEliminationPass.hinclude / logo / Pass.h
    include / luci / Pass / ConvertNCHWToNHWCPass.hinclude / logo / Pass.h
    include / luci / Pass / ConvertToFakeQuantizedModelPass.hinclude / logo / Pass.h
    include / luci / Pass / CopyQuantParamPass.hinclude / logo / Pass.h
    include / luci / Pass / DecomposeHardSwishPass.hinclude / logo / Pass.h
    include / luci / Pass / DecomposeSoftmaxPass.hinclude / logo / Pass.h
    include / luci / Pass / DynamicBatchToSingleBatchPass.hinclude / logo / Pass.h
    include / luci / Pass / ExpandBroadcastConstPass.hinclude / logo / Pass.h
    include / luci / Pass / FoldAddV2Pass.hinclude / logo / Pass.h
    include / luci / Pass / FoldCastPass.hinclude / logo / Pass.h
    include / luci / Pass / FoldDensifyPass.hinclude / logo / Pass.h
    include / luci / Pass / FoldDepthwiseConv2DPass.hinclude / logo / Pass.h
    include / luci / Pass / FoldDequantizePass.hinclude / logo / Pass.h
    include / luci / Pass / FoldFullyConnectedPass.hinclude / logo / Pass.h
    include / luci / Pass / FoldGatherPass.hinclude / logo / Pass.h
    include / luci / Pass / FoldShapePass.hinclude / logo / Pass.h
    include / luci / Pass / FoldSparseToDensePass.hinclude / logo / Pass.h
    include / luci / Pass / ForceQuantParamPass.hinclude / logo / Pass.h
    include / luci / Pass / ForwardReshapeToUnaryOpPass.hinclude / logo / Pass.h
    include / luci / Pass / ForwardTransposeOpPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseActivationFunctionPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseAddWithConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseAddWithFullyConnectedPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseAddWithTConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseBatchNormWithConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseBatchNormWithDwConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseBatchNormWithTConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseGeluPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseHorizontalFullyConnectedPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseInstanceNormPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseMeanWithMeanPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseMulWithConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FusePreActivationBatchNormPass.hinclude / logo / Pass.h
    include / luci / Pass / FusePReluPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseSliceWithTConvPass.hinclude / logo / Pass.h
    include / luci / Pass / FuseTransposeWithMeanPass.hinclude / logo / Pass.h
    include / luci / Pass / MakeBatchNormGammaPositivePass.hinclude / logo / Pass.h
    include / luci / Pass / PropagateQParamBackwardPass.hinclude / logo / Pass.h
    include / luci / Pass / PropagateQParamForwardPass.hinclude / logo / Pass.h
    include / luci / Pass / QuantizeDequantizeWeightsPass.hinclude / logo / Pass.h
    include / luci / Pass / QuantizeOnnxFakeQuantModelPass.hinclude / logo / Pass.h
    include / luci / Pass / QuantizePreCheckerPass.hinclude / logo / Pass.h
    include / luci / Pass / QuantizeWeightsPass.hinclude / logo / Pass.h
    include / luci / Pass / QuantizeWithMinMaxPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveDuplicateConstPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveFakeQuantPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveGatherGuardPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveQuantDequantSeqPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveRedundantDequantizePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveRedundantQuantizePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveRedundantReshapePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveRedundantTransposePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessaryAddPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessaryReshapeNetPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessaryReshapePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessarySlicePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessarySplitPass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessaryStridedSlicePass.hinclude / logo / Pass.h
    include / luci / Pass / RemoveUnnecessaryTransposeNetPass.hinclude / logo / Pass.h
    include / luci / Pass / ReplaceMulAddWithDepthwiseConvPass.hinclude / logo / Pass.h
    include / luci / Pass / ReplaceNonConstFCWithBatchMatMulPass.hinclude / logo / Pass.h
    include / luci / Pass / ReplaceSubWithAddPass.hinclude / logo / Pass.h
    include / luci / Pass / ReplaceWithFCGeluFCPass.hinclude / logo / Pass.h
    include / luci / Pass / RequantizePass.hinclude / logo / Pass.h
    include / luci / Pass / ResolveCustomOpAddPass.hinclude / logo / Pass.h
    include / luci / Pass / ResolveCustomOpBatchMatMulPass.hinclude / logo / Pass.h
    include / luci / Pass / ResolveCustomOpMatMulPass.hinclude / logo / Pass.h
    include / luci / Pass / ResolveCustomOpMaxPoolWithArgmaxPass.hinclude / logo / Pass.h
    include / luci / Pass / ResolveCustomOpSplitVPass.hinclude / logo / Pass.h
    include / luci / Pass / ResolveFormerCustomOpPass.hinclude / logo / Pass.h
    include / luci / Pass / ShuffleWeightTo16x1Float32Pass.hinclude / logo / Pass.h
    include / luci / Pass / SparsifyTensorPass.hinclude / logo / Pass.h
    include / luci / Pass / SubstitutePackToReshapePass.hinclude / logo / Pass.h
    include / luci / Pass / SubstitutePadV2ToPadPass.hinclude / logo / Pass.h
    include / luci / Pass / SubstituteSplitVToSplitPass.hinclude / logo / Pass.h
    include / luci / Pass / SubstituteSqueezeToReshapePass.hinclude / logo / Pass.h
    include / luci / Pass / SubstituteStridedSliceToReshapePass.hinclude / logo / Pass.h
    include / luci / Pass / SubstituteTransposeToReshapePass.hinclude / logo / Pass.h
    include / luci / Pass / TransformMinMaxToRelu6Pass.hinclude / logo / Pass.h
    include / luci / Pass / TransformMinReluToRelu6Pass.hinclude / logo / Pass.h
    include / luci / Pass / UnrollUnidirectionalSequenceLSTMPass.hinclude / logo / Pass.h
    include / luci / Pass / XpSepActFromTransposeConvPass.hinclude / logo / Pass.h
    src / CircleOptimizer.cppinclude / logo / Phase.h
    src / CircleQuantizer.cppinclude / logo / Phase.h
    src / DynamicBatchToSingleBatch.cppinclude / logo / Phase.h
    src / ModulePhase.hinclude / logo / Phase.h
    src / ProgressReporter.cppinclude / logo / Phase.h
    src / ProgressReporter.cppinclude / logo / Pass.h
    src / ProgressReporter.hinclude / logo / Phase.h
    src / QuantizeOnnxDequantizeLinearPass.hinclude / logo / Pass.h
    src / QuantizeOnnxQDQPass.hinclude / logo / Pass.h
    src / QuantizeWithMinMaxPass.cppinclude / logo / Phase.h
    src / QuantizeWithPredecessorPass.hinclude / logo / Pass.h
    diff --git a/dir_000707_000492.html b/dir_000708_000492.html similarity index 100% rename from dir_000707_000492.html rename to dir_000708_000492.html diff --git a/dir_000707_000648.html b/dir_000708_000649.html similarity index 100% rename from dir_000707_000648.html rename to dir_000708_000649.html diff --git a/dir_000707_000656.html b/dir_000708_000657.html similarity index 100% rename from dir_000707_000656.html rename to dir_000708_000657.html diff --git a/dir_000707_000731.html b/dir_000708_000732.html similarity index 100% rename from dir_000707_000731.html rename to dir_000708_000732.html diff --git a/dir_000707_000744.html b/dir_000708_000745.html similarity index 100% rename from dir_000707_000744.html rename to dir_000708_000745.html diff --git a/dir_000707_000797.html b/dir_000708_000798.html similarity index 100% rename from dir_000707_000797.html rename to dir_000708_000798.html diff --git a/dir_000628_000442.html b/dir_000709_000442.html similarity index 61% rename from dir_000628_000442.html rename to dir_000709_000442.html index 812103511e0..0c1da6c0744 100644 --- a/dir_000628_000442.html +++ b/dir_000709_000442.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/import/include/luci/Import/Nodes -> lang Relation +ONE - On-device Neural Engine: compiler/luci/pass/include/luci/Pass -> lang Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Nodes → lang Relation

    File in compiler/luci/import/include/luci/Import/NodesIncludes file in compiler/luci/lang
    CircleConst.hinclude / luci / IR / Nodes / CircleConst.h
    CircleVariable.hinclude / luci / IR / Nodes / CircleVariable.h
    +

    Pass → lang Relation

    File in compiler/luci/pass/include/luci/PassIncludes file in compiler/luci/lang
    FusePreActivationBatchNormPass.hinclude / luci / IR / CircleNodes.h
    RemoveDuplicateConstPass.hinclude / luci / IR / CircleNodes.h
    SparsifyTensorPass.hinclude / luci / IR / SparsityParam.h
    diff --git a/dir_000709_000455.html b/dir_000709_000455.html index 9341cf8804a..366897b9152 100644 --- a/dir_000709_000455.html +++ b/dir_000709_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/pass -> loco Relation +ONE - On-device Neural Engine: compiler/luci/pass/include/luci/Pass -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    pass → loco Relation

    File in compiler/moco/passIncludes file in compiler/loco
    include / moco / Pass / Passes / ConstantFoldAdd.hinclude / loco.h
    include / moco / Pass / Passes / ConstantFoldMul.hinclude / loco.h
    include / moco / Pass / Passes / ConstantFoldPack.hinclude / loco.h
    include / moco / Pass / Passes / ConstantFoldStridedSlice.hinclude / loco.h
    include / moco / Pass / Passes / FuseBinaryIntoPreceding.hinclude / loco.h
    include / moco / Pass / Passes / RemoveTFIdentityNode.hinclude / loco.h
    include / moco / Pass / Passes / ResolveConstantShape.hinclude / loco.h
    include / moco / Pass / Passes / ResolveFusedBatchNorm.hinclude / loco.h
    include / moco / Pass / Passes / ResolveReshapeWildcardDim.hinclude / loco.h
    include / moco / Pass / Passes / ResolveSquaredDifference.hinclude / loco.h
    include / moco / Pass / Passes / SqueezeReduceNode.hinclude / loco.h
    src / Passes / ConstantFoldPack.cppinclude / loco / IR / TensorShape.h
    src / Passes / ResolveConstantShape.cppinclude / loco.h
    src / Passes / ResolveSquaredDifference.cppinclude / loco / IR / NodeShape.h
    src / Passes / ResolveSquaredDifference.cppinclude / loco / Service / ShapeInference.h
    src / ConstantFoldHelper.hinclude / loco.h
    src / ConstantFoldHelper.hinclude / loco / IR / TensorShape.h
    src / TensorPackEnumerator.hinclude / loco / IR / TensorShape.h
    src / TensorSliceEnumerator.hinclude / loco / IR / TensorShape.h
    src / TestHelper.hinclude / loco.h
    +

    Pass → loco Relation

    File in compiler/luci/pass/include/luci/PassIncludes file in compiler/loco
    CircleShapeInferencePass.hinclude / loco.h
    CircleTypeInferencePass.hinclude / loco.h
    CopyQuantParamPass.hinclude / loco.h
    ForceQuantParamPass.hinclude / loco.h
    FuseMulWithDivPass.hinclude / loco.h
    QuantizationParameters.hinclude / loco.h
    QuantizeDequantizeWeightsPass.hinclude / loco.h
    QuantizeOnnxFakeQuantModelPass.hinclude / loco.h
    QuantizeWeightsPass.hinclude / loco.h
    QuantizeWithMinMaxPass.hinclude / loco.h
    RequantizePass.hinclude / loco.h
    diff --git a/dir_000709_000478.html b/dir_000709_000478.html index b616d7db669..55b11fa9b31 100644 --- a/dir_000709_000478.html +++ b/dir_000709_000478.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/pass -> logo-core Relation +ONE - On-device Neural Engine: compiler/luci/pass/include/luci/Pass -> logo-core Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    Pass → logo-core Relation

    File in compiler/luci/pass/include/luci/PassIncludes file in compiler/logo-core
    CommonSubExpressionEliminationPass.hinclude / logo / Pass.h
    ConvertNCHWToNHWCPass.hinclude / logo / Pass.h
    ConvertToFakeQuantizedModelPass.hinclude / logo / Pass.h
    CopyQuantParamPass.hinclude / logo / Pass.h
    DecomposeHardSwishPass.hinclude / logo / Pass.h
    DecomposeSoftmaxPass.hinclude / logo / Pass.h
    DynamicBatchToSingleBatchPass.hinclude / logo / Pass.h
    ExpandBroadcastConstPass.hinclude / logo / Pass.h
    FoldAddV2Pass.hinclude / logo / Pass.h
    FoldCastPass.hinclude / logo / Pass.h
    FoldDensifyPass.hinclude / logo / Pass.h
    FoldDepthwiseConv2DPass.hinclude / logo / Pass.h
    FoldDequantizePass.hinclude / logo / Pass.h
    FoldFullyConnectedPass.hinclude / logo / Pass.h
    FoldGatherPass.hinclude / logo / Pass.h
    FoldShapePass.hinclude / logo / Pass.h
    FoldSparseToDensePass.hinclude / logo / Pass.h
    ForceQuantParamPass.hinclude / logo / Pass.h
    ForwardReshapeToUnaryOpPass.hinclude / logo / Pass.h
    ForwardTransposeOpPass.hinclude / logo / Pass.h
    FuseActivationFunctionPass.hinclude / logo / Pass.h
    FuseAddWithConvPass.hinclude / logo / Pass.h
    FuseAddWithFullyConnectedPass.hinclude / logo / Pass.h
    FuseAddWithTConvPass.hinclude / logo / Pass.h
    FuseBatchNormWithConvPass.hinclude / logo / Pass.h
    FuseBatchNormWithDwConvPass.hinclude / logo / Pass.h
    FuseBatchNormWithTConvPass.hinclude / logo / Pass.h
    FuseGeluPass.hinclude / logo / Pass.h
    FuseHorizontalFullyConnectedPass.hinclude / logo / Pass.h
    FuseInstanceNormPass.hinclude / logo / Pass.h
    FuseMeanWithMeanPass.hinclude / logo / Pass.h
    FuseMulWithConvPass.hinclude / logo / Pass.h
    FusePreActivationBatchNormPass.hinclude / logo / Pass.h
    FusePReluPass.hinclude / logo / Pass.h
    FuseSliceWithTConvPass.hinclude / logo / Pass.h
    FuseTransposeWithMeanPass.hinclude / logo / Pass.h
    MakeBatchNormGammaPositivePass.hinclude / logo / Pass.h
    PropagateQParamBackwardPass.hinclude / logo / Pass.h
    PropagateQParamForwardPass.hinclude / logo / Pass.h
    QuantizeDequantizeWeightsPass.hinclude / logo / Pass.h
    QuantizeOnnxFakeQuantModelPass.hinclude / logo / Pass.h
    QuantizePreCheckerPass.hinclude / logo / Pass.h
    QuantizeWeightsPass.hinclude / logo / Pass.h
    QuantizeWithMinMaxPass.hinclude / logo / Pass.h
    RemoveDuplicateConstPass.hinclude / logo / Pass.h
    RemoveFakeQuantPass.hinclude / logo / Pass.h
    RemoveGatherGuardPass.hinclude / logo / Pass.h
    RemoveQuantDequantSeqPass.hinclude / logo / Pass.h
    RemoveRedundantDequantizePass.hinclude / logo / Pass.h
    RemoveRedundantQuantizePass.hinclude / logo / Pass.h
    RemoveRedundantReshapePass.hinclude / logo / Pass.h
    RemoveRedundantTransposePass.hinclude / logo / Pass.h
    RemoveUnnecessaryAddPass.hinclude / logo / Pass.h
    RemoveUnnecessaryReshapeNetPass.hinclude / logo / Pass.h
    RemoveUnnecessaryReshapePass.hinclude / logo / Pass.h
    RemoveUnnecessarySlicePass.hinclude / logo / Pass.h
    RemoveUnnecessarySplitPass.hinclude / logo / Pass.h
    RemoveUnnecessaryStridedSlicePass.hinclude / logo / Pass.h
    RemoveUnnecessaryTransposeNetPass.hinclude / logo / Pass.h
    ReplaceMulAddWithDepthwiseConvPass.hinclude / logo / Pass.h
    ReplaceNonConstFCWithBatchMatMulPass.hinclude / logo / Pass.h
    ReplaceSubWithAddPass.hinclude / logo / Pass.h
    ReplaceWithFCGeluFCPass.hinclude / logo / Pass.h
    RequantizePass.hinclude / logo / Pass.h
    ResolveCustomOpAddPass.hinclude / logo / Pass.h
    ResolveCustomOpBatchMatMulPass.hinclude / logo / Pass.h
    ResolveCustomOpMatMulPass.hinclude / logo / Pass.h
    ResolveCustomOpMaxPoolWithArgmaxPass.hinclude / logo / Pass.h
    ResolveCustomOpSplitVPass.hinclude / logo / Pass.h
    ResolveFormerCustomOpPass.hinclude / logo / Pass.h
    ShuffleWeightTo16x1Float32Pass.hinclude / logo / Pass.h
    SparsifyTensorPass.hinclude / logo / Pass.h
    SubstitutePackToReshapePass.hinclude / logo / Pass.h
    SubstitutePadV2ToPadPass.hinclude / logo / Pass.h
    SubstituteSplitVToSplitPass.hinclude / logo / Pass.h
    SubstituteSqueezeToReshapePass.hinclude / logo / Pass.h
    SubstituteStridedSliceToReshapePass.hinclude / logo / Pass.h
    SubstituteTransposeToReshapePass.hinclude / logo / Pass.h
    TransformMinMaxToRelu6Pass.hinclude / logo / Pass.h
    TransformMinReluToRelu6Pass.hinclude / logo / Pass.h
    UnrollUnidirectionalSequenceLSTMPass.hinclude / logo / Pass.h
    XpSepActFromTransposeConvPass.hinclude / logo / Pass.h
    diff --git a/dir_000709_000443.html b/dir_000710_000443.html similarity index 100% rename from dir_000709_000443.html rename to dir_000710_000443.html diff --git a/dir_000710_000455.html b/dir_000710_000455.html index 912e6236564..9341cf8804a 100644 --- a/dir_000710_000455.html +++ b/dir_000710_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/pass/include/moco/Pass -> loco Relation +ONE - On-device Neural Engine: compiler/moco/pass -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    pass → loco Relation

    File in compiler/moco/passIncludes file in compiler/loco
    include / moco / Pass / Passes / ConstantFoldAdd.hinclude / loco.h
    include / moco / Pass / Passes / ConstantFoldMul.hinclude / loco.h
    include / moco / Pass / Passes / ConstantFoldPack.hinclude / loco.h
    include / moco / Pass / Passes / ConstantFoldStridedSlice.hinclude / loco.h
    include / moco / Pass / Passes / FuseBinaryIntoPreceding.hinclude / loco.h
    include / moco / Pass / Passes / RemoveTFIdentityNode.hinclude / loco.h
    include / moco / Pass / Passes / ResolveConstantShape.hinclude / loco.h
    include / moco / Pass / Passes / ResolveFusedBatchNorm.hinclude / loco.h
    include / moco / Pass / Passes / ResolveReshapeWildcardDim.hinclude / loco.h
    include / moco / Pass / Passes / ResolveSquaredDifference.hinclude / loco.h
    include / moco / Pass / Passes / SqueezeReduceNode.hinclude / loco.h
    src / Passes / ConstantFoldPack.cppinclude / loco / IR / TensorShape.h
    src / Passes / ResolveConstantShape.cppinclude / loco.h
    src / Passes / ResolveSquaredDifference.cppinclude / loco / IR / NodeShape.h
    src / Passes / ResolveSquaredDifference.cppinclude / loco / Service / ShapeInference.h
    src / ConstantFoldHelper.hinclude / loco.h
    src / ConstantFoldHelper.hinclude / loco / IR / TensorShape.h
    src / TensorPackEnumerator.hinclude / loco / IR / TensorShape.h
    src / TensorSliceEnumerator.hinclude / loco / IR / TensorShape.h
    src / TestHelper.hinclude / loco.h
    diff --git a/dir_000710_000478.html b/dir_000710_000478.html index 5a5ddd95f2b..b616d7db669 100644 --- a/dir_000710_000478.html +++ b/dir_000710_000478.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/pass/include/moco/Pass -> logo-core Relation +ONE - On-device Neural Engine: compiler/moco/pass -> logo-core Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    pass → logo-core Relation

    File in compiler/moco/passIncludes file in compiler/logo-core
    include / moco / Pass / Passes / ConstantFoldAdd.hinclude / logo / Pass.h
    include / moco / Pass / Passes / ConstantFoldMul.hinclude / logo / Pass.h
    include / moco / Pass / Passes / ConstantFoldPack.hinclude / logo / Pass.h
    include / moco / Pass / Passes / ConstantFoldStridedSlice.hinclude / logo / Pass.h
    include / moco / Pass / Passes / FuseBinaryIntoPreceding.hinclude / logo / Pass.h
    include / moco / Pass / Passes / RemoveTFIdentityNode.hinclude / logo / Pass.h
    include / moco / Pass / Passes / ResolveConstantShape.hinclude / logo / Pass.h
    include / moco / Pass / Passes / ResolveFusedBatchNorm.hinclude / logo / Pass.h
    include / moco / Pass / Passes / ResolveReshapeWildcardDim.hinclude / logo / Pass.h
    include / moco / Pass / Passes / ResolveSquaredDifference.hinclude / logo / Pass.h
    include / moco / Pass / Passes / SqueezeReduceNode.hinclude / logo / Pass.h
    diff --git a/dir_000709_000656.html b/dir_000710_000657.html similarity index 100% rename from dir_000709_000656.html rename to dir_000710_000657.html diff --git a/dir_000709_000967.html b/dir_000710_000969.html similarity index 100% rename from dir_000709_000967.html rename to dir_000710_000969.html diff --git a/dir_000711_000455.html b/dir_000711_000455.html new file mode 100644 index 00000000000..912e6236564 --- /dev/null +++ b/dir_000711_000455.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/moco/pass/include/moco/Pass -> loco Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + + + + + + diff --git a/dir_000711_000478.html b/dir_000711_000478.html new file mode 100644 index 00000000000..5a5ddd95f2b --- /dev/null +++ b/dir_000711_000478.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/moco/pass/include/moco/Pass -> logo-core Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + + +
    + + + + diff --git a/dir_000710_000719.html b/dir_000711_000720.html similarity index 100% rename from dir_000710_000719.html rename to dir_000711_000720.html diff --git a/dir_000711_000542.html b/dir_000712_000543.html similarity index 100% rename from dir_000711_000542.html rename to dir_000712_000543.html diff --git a/dir_000713_000352.html b/dir_000713_000352.html index 3430b67cdbd..605ef1490a7 100644 --- a/dir_000713_000352.html +++ b/dir_000713_000352.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnc/unittests/pass -> include Relation +ONE - On-device Neural Engine: compiler/nnc/pass -> include Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    pass → include Relation

    File in compiler/nnc/unittests/passIncludes file in compiler/nnc/include
    PassExceptionTest.cpppass / PassException.h
    PassManagerTest.cpppass / PassData.h
    PassManagerTest.cpppass / PassException.h
    +

    pass → include Relation

    File in compiler/nnc/passIncludes file in compiler/nnc/include
    PassManager.cpppass / PassManager.h
    diff --git a/dir_000714_000352.html b/dir_000714_000352.html new file mode 100644 index 00000000000..3430b67cdbd --- /dev/null +++ b/dir_000714_000352.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/nnc/unittests/pass -> include Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    pass → include Relation

    File in compiler/nnc/unittests/passIncludes file in compiler/nnc/include
    PassExceptionTest.cpppass / PassException.h
    PassManagerTest.cpppass / PassData.h
    PassManagerTest.cpppass / PassException.h
    +
    + + + + diff --git a/dir_000713_000542.html b/dir_000714_000543.html similarity index 100% rename from dir_000713_000542.html rename to dir_000714_000543.html diff --git a/dir_000714_000390.html b/dir_000715_000390.html similarity index 100% rename from dir_000714_000390.html rename to dir_000715_000390.html diff --git a/dir_000715_000404.html b/dir_000715_000404.html deleted file mode 100644 index 72e2704048c..00000000000 --- a/dir_000715_000404.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: runtime/onert/core/src/compiler/pass -> include Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - - - - - - diff --git a/dir_000715_000050.html b/dir_000716_000050.html similarity index 100% rename from dir_000715_000050.html rename to dir_000716_000050.html diff --git a/dir_000716_000404.html b/dir_000716_000404.html index ab0b0b930ab..72e2704048c 100644 --- a/dir_000716_000404.html +++ b/dir_000716_000404.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/core/src/compiler/train/pass -> include Relation +ONE - On-device Neural Engine: runtime/onert/core/src/compiler/pass -> include Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    pass → include Relation

    File in runtime/onert/core/src/compiler/train/passIncludes file in runtime/onert/core/include
    LossInsertionPass.ccir / train / operation / Loss.h
    LossInsertionPass.ccir / train / TrainableGraph.h
    LossInsertionPass.ccir / train / TrainingInfo.h
    +

    pass → include Relation

    File in runtime/onert/core/src/compiler/passIncludes file in runtime/onert/core/include
    ConstantInsertionPass.ccbackend / Backend.h
    ConstantInsertionPass.ccutil / Utils.h
    ConstantInsertionPass.hcompiler / PermuteFactor.h
    ConstantLoweringPass.ccbackend / Backend.h
    ConstantLoweringPass.cccompiler / PermuteFactor.h
    ConstantLoweringPass.ccutil / Utils.h
    ConstantOutputPass.ccir / operation / Permute.h
    LoweredOperandPass.hcompiler / ILoweredGraph.h
    LoweredOperationPass.hcompiler / ILoweredGraph.h
    OddOutputPass.ccir / operation / Permute.h
    OddOutputPass.ccutil / Utils.h
    OperationPass.ccir / IOperation.h
    PermutationEliminationPass.ccbackend / Backend.h
    PermutationEliminationPass.hir / OperationVisitor.h
    PermutationInsertionPass.cccompiler / OperationLowerInfo.h
    PermutationInsertionPass.ccir / operation / Permute.h
    PermutationInsertionPass.hcompiler / BackendManager.h
    PermutationInsertionPass.hir / Operand.h
    PermutationInsertionPass.hcompiler / PermuteFactor.h
    PermutationOperationPass.ccbackend / Backend.h
    PermutationOperationPass.ccbackend / IConfig.h
    PermutationOperationPass.hir / OperationVisitor.h
    UnusedOperandEliminationPass.ccutil / Set.h
    diff --git a/dir_001034_000448.html b/dir_000717_000404.html similarity index 69% rename from dir_001034_000448.html rename to dir_000717_000404.html index da7848c46b0..ab0b0b930ab 100644 --- a/dir_001034_000448.html +++ b/dir_000717_000404.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/core/src/compiler/train -> libs Relation +ONE - On-device Neural Engine: runtime/onert/core/src/compiler/train/pass -> include Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    train → libs Relation

    File in runtime/onert/core/src/compiler/trainIncludes file in runtime/libs
    StaticBackwardShapeInferer.ccmisc / include / misc / polymorphic_downcast.h
    TrainingCompiler.ccmisc / include / misc / polymorphic_downcast.h
    TrainingCompiler.ccmisc / include / misc / string_helpers.h
    +

    pass → include Relation

    File in runtime/onert/core/src/compiler/train/passIncludes file in runtime/onert/core/include
    LossInsertionPass.ccir / train / operation / Loss.h
    LossInsertionPass.ccir / train / TrainableGraph.h
    LossInsertionPass.ccir / train / TrainingInfo.h
    diff --git a/dir_000716_000715.html b/dir_000717_000716.html similarity index 100% rename from dir_000716_000715.html rename to dir_000717_000716.html diff --git a/dir_000717_000314.html b/dir_000718_000314.html similarity index 100% rename from dir_000717_000314.html rename to dir_000718_000314.html diff --git a/dir_000718_000455.html b/dir_000718_000455.html index d3c6a5b48df..887f3435c5f 100644 --- a/dir_000718_000455.html +++ b/dir_000718_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/logo/src/Passes -> loco Relation +ONE - On-device Neural Engine: compiler/logo-ex/src/Passes -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    Passes → loco Relation

    File in compiler/logo-ex/src/PassesIncludes file in compiler/loco
    ConstantFoldingPass.cppinclude / loco / IR / CanonicalDialect.h
    ConstantFoldingPass.cppinclude / loco.h
    diff --git a/dir_000717_000459.html b/dir_000718_000459.html similarity index 100% rename from dir_000717_000459.html rename to dir_000718_000459.html diff --git a/dir_000718_000315.html b/dir_000719_000315.html similarity index 100% rename from dir_000718_000315.html rename to dir_000719_000315.html diff --git a/dir_000719_000455.html b/dir_000719_000455.html index 59ef1d590a3..d3c6a5b48df 100644 --- a/dir_000719_000455.html +++ b/dir_000719_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/pass/include/moco/Pass/Passes -> loco Relation +ONE - On-device Neural Engine: compiler/logo/src/Passes -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    Passes → loco Relation

    File in compiler/logo/src/PassesIncludes file in compiler/loco
    EmptyTestGraph.hinclude / loco.h
    RemoveDeadNodePass.cppinclude / loco / IR / Algorithm.h
    RemoveDeadNodePass.cppinclude / loco / IR / CanonicalDialect.h
    RemoveDeadNodePass.cppinclude / loco / IR / CanonicalNode.h
    RemoveDeadNodeWithQueryPass.cppinclude / loco / IR / Algorithm.h
    RemoveDeadNodeWithQueryPass.cppinclude / loco / IR / CanonicalDialect.h
    RemoveDeadNodeWithQueryPass.cppinclude / loco / IR / CanonicalNode.h
    RemoveForwardNodePass.cppinclude / loco / IR / CanonicalDialect.h
    RemoveForwardNodePass.cppinclude / loco / IR / CanonicalNode.h
    ReorderDecodePass.cppinclude / loco / IR / CanonicalDialect.h
    ReorderDecodePass.cppinclude / loco / IR / CanonicalNode.h
    ReorderDecodePass.cppinclude / loco / IR / Nodes.h
    ResolveDuplicateReshapePass.cppinclude / loco.h
    ResolveRedundantReshapePass.cppinclude / loco.h
    ResolveRedundantReshapePass.cppinclude / loco / Service / ShapeInference.h
    SimplifyDomainConversionPass.cppinclude / loco / IR / Algorithm.h
    SimplifyDomainConversionPass.cppinclude / loco / IR / CanonicalDialect.h
    SimplifyDomainConversionPass.cppinclude / loco / IR / CanonicalNode.h
    diff --git a/dir_000720_000455.html b/dir_000720_000455.html index 84d6d2804f8..59ef1d590a3 100644 --- a/dir_000720_000455.html +++ b/dir_000720_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/pass/src/Passes -> loco Relation +ONE - On-device Neural Engine: compiler/moco/pass/include/moco/Pass/Passes -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Passes → loco Relation

    File in compiler/moco/pass/src/PassesIncludes file in compiler/loco
    ConstantFoldPack.cppinclude / loco / IR / TensorShape.h
    ResolveConstantShape.cppinclude / loco.h
    ResolveSquaredDifference.cppinclude / loco / IR / NodeShape.h
    ResolveSquaredDifference.cppinclude / loco / Service / ShapeInference.h
    +

    Passes → loco Relation

    File in compiler/moco/pass/include/moco/Pass/PassesIncludes file in compiler/loco
    ConstantFoldAdd.hinclude / loco.h
    ConstantFoldMul.hinclude / loco.h
    ConstantFoldPack.hinclude / loco.h
    ConstantFoldStridedSlice.hinclude / loco.h
    FuseBinaryIntoPreceding.hinclude / loco.h
    RemoveTFIdentityNode.hinclude / loco.h
    ResolveConstantShape.hinclude / loco.h
    ResolveFusedBatchNorm.hinclude / loco.h
    ResolveReshapeWildcardDim.hinclude / loco.h
    ResolveSquaredDifference.hinclude / loco.h
    SqueezeReduceNode.hinclude / loco.h
    diff --git a/dir_000719_000478.html b/dir_000720_000478.html similarity index 100% rename from dir_000719_000478.html rename to dir_000720_000478.html diff --git a/dir_000720_000346.html b/dir_000721_000346.html similarity index 100% rename from dir_000720_000346.html rename to dir_000721_000346.html diff --git a/dir_000720_000443.html b/dir_000721_000443.html similarity index 100% rename from dir_000720_000443.html rename to dir_000721_000443.html diff --git a/dir_000721_000455.html b/dir_000721_000455.html new file mode 100644 index 00000000000..84d6d2804f8 --- /dev/null +++ b/dir_000721_000455.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/moco/pass/src/Passes -> loco Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    Passes → loco Relation

    File in compiler/moco/pass/src/PassesIncludes file in compiler/loco
    ConstantFoldPack.cppinclude / loco / IR / TensorShape.h
    ResolveConstantShape.cppinclude / loco.h
    ResolveSquaredDifference.cppinclude / loco / IR / NodeShape.h
    ResolveSquaredDifference.cppinclude / loco / Service / ShapeInference.h
    +
    + + + + diff --git a/dir_000720_000656.html b/dir_000721_000657.html similarity index 100% rename from dir_000720_000656.html rename to dir_000721_000657.html diff --git a/dir_000720_000967.html b/dir_000721_000969.html similarity index 100% rename from dir_000720_000967.html rename to dir_000721_000969.html diff --git a/dir_000721_000542.html b/dir_000722_000543.html similarity index 100% rename from dir_000721_000542.html rename to dir_000722_000543.html diff --git a/dir_000721_000711.html b/dir_000722_000712.html similarity index 100% rename from dir_000721_000711.html rename to dir_000722_000712.html diff --git a/dir_000722_000352.html b/dir_000723_000352.html similarity index 100% rename from dir_000722_000352.html rename to dir_000723_000352.html diff --git a/dir_000722_000542.html b/dir_000723_000543.html similarity index 100% rename from dir_000722_000542.html rename to dir_000723_000543.html diff --git a/dir_000723_000480.html b/dir_000724_000480.html similarity index 100% rename from dir_000723_000480.html rename to dir_000724_000480.html diff --git a/dir_000736_000442.html b/dir_000736_000442.html index f1b29f6df7e..12d58670c12 100644 --- a/dir_000736_000442.html +++ b/dir_000736_000442.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/plan/include/luci/Plan -> lang Relation +ONE - On-device Neural Engine: compiler/luci/plan -> lang Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Plan → lang Relation

    File in compiler/luci/plan/include/luci/PlanIncludes file in compiler/luci/lang
    CircleNodeExecutionPlan.hinclude / luci / IR / CircleNode.h
    +

    plan → lang Relation

    File in compiler/luci/planIncludes file in compiler/luci/lang
    include / luci / Plan / CircleNodeExecutionPlan.hinclude / luci / IR / CircleNode.h
    diff --git a/dir_000735_000455.html b/dir_000736_000455.html similarity index 100% rename from dir_000735_000455.html rename to dir_000736_000455.html diff --git a/dir_000735_000442.html b/dir_000737_000442.html similarity index 74% rename from dir_000735_000442.html rename to dir_000737_000442.html index 12d58670c12..f1b29f6df7e 100644 --- a/dir_000735_000442.html +++ b/dir_000737_000442.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/plan -> lang Relation +ONE - On-device Neural Engine: compiler/luci/plan/include/luci/Plan -> lang Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    plan → lang Relation

    File in compiler/luci/planIncludes file in compiler/luci/lang
    include / luci / Plan / CircleNodeExecutionPlan.hinclude / luci / IR / CircleNode.h
    +

    Plan → lang Relation

    File in compiler/luci/plan/include/luci/PlanIncludes file in compiler/luci/lang
    CircleNodeExecutionPlan.hinclude / luci / IR / CircleNode.h
    diff --git a/dir_000738_000027.html b/dir_000738_000027.html index 9a34786cb97..71ff76d7565 100644 --- a/dir_000738_000027.html +++ b/dir_000738_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/plier-tf -> angkor Relation +ONE - On-device Neural Engine: compiler/plier-tf/include/plier -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    plier-tf → angkor Relation

    File in compiler/plier-tfIncludes file in compiler/angkor
    src / Convert.cppinclude / nncc / core / ADT / tensor / Shape.h
    include / plier / tf / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    +

    plier → angkor Relation

    File in compiler/plier-tf/include/plierIncludes file in compiler/angkor
    tf / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_000738_000455.html b/dir_000738_000455.html index a6aba6b1500..263798f8c06 100644 --- a/dir_000738_000455.html +++ b/dir_000738_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/plier-tf -> loco Relation +ONE - On-device Neural Engine: compiler/plier-tf/include/plier -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    plier-tf → loco Relation

    File in compiler/plier-tfIncludes file in compiler/loco
    include / plier / tf / Convert.hinclude / loco.h
    +

    plier → loco Relation

    File in compiler/plier-tf/include/plierIncludes file in compiler/loco
    tf / Convert.hinclude / loco.h
    diff --git a/dir_000739_000027.html b/dir_000739_000027.html new file mode 100644 index 00000000000..9a34786cb97 --- /dev/null +++ b/dir_000739_000027.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/plier-tf -> angkor Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    plier-tf → angkor Relation

    File in compiler/plier-tfIncludes file in compiler/angkor
    src / Convert.cppinclude / nncc / core / ADT / tensor / Shape.h
    include / plier / tf / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    +
    + + + + diff --git a/dir_000739_000455.html b/dir_000739_000455.html new file mode 100644 index 00000000000..a6aba6b1500 --- /dev/null +++ b/dir_000739_000455.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/plier-tf -> loco Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    plier-tf → loco Relation

    File in compiler/plier-tfIncludes file in compiler/loco
    include / plier / tf / Convert.hinclude / loco.h
    +
    + + + + diff --git a/dir_000745_000442.html b/dir_000745_000442.html index a8a2cab2cfa..f295ca7e957 100644 --- a/dir_000745_000442.html +++ b/dir_000745_000442.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/profile/include/luci/Profile -> lang Relation +ONE - On-device Neural Engine: compiler/luci/profile -> lang Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Profile → lang Relation

    File in compiler/luci/profile/include/luci/ProfileIncludes file in compiler/luci/lang
    CircleNodeID.hinclude / luci / IR / CircleNode.h
    CircleNodeOrigin.hinclude / luci / IR / CircleNode.h
    +

    profile → lang Relation

    File in compiler/luci/profileIncludes file in compiler/luci/lang
    include / luci / Profile / CircleNodeID.hinclude / luci / IR / CircleNode.h
    include / luci / Profile / CircleNodeOrigin.hinclude / luci / IR / CircleNode.h
    diff --git a/dir_000744_000455.html b/dir_000745_000455.html similarity index 100% rename from dir_000744_000455.html rename to dir_000745_000455.html diff --git a/dir_000705_000455.html b/dir_000746_000442.html similarity index 67% rename from dir_000705_000455.html rename to dir_000746_000442.html index ea7b536c8fd..a8a2cab2cfa 100644 --- a/dir_000705_000455.html +++ b/dir_000746_000442.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/partition -> loco Relation +ONE - On-device Neural Engine: compiler/luci/profile/include/luci/Profile -> lang Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    partition → loco Relation

    File in compiler/luci/partitionIncludes file in compiler/loco
    src / PartitionPGroups.cppinclude / loco.h
    src / PartitionPModules.cppinclude / loco.h
    +

    Profile → lang Relation

    File in compiler/luci/profile/include/luci/ProfileIncludes file in compiler/luci/lang
    CircleNodeID.hinclude / luci / IR / CircleNode.h
    CircleNodeOrigin.hinclude / luci / IR / CircleNode.h
    diff --git a/dir_000748_000394.html b/dir_000749_000394.html similarity index 100% rename from dir_000748_000394.html rename to dir_000749_000394.html diff --git a/dir_000749_000598.html b/dir_000750_000599.html similarity index 100% rename from dir_000749_000598.html rename to dir_000750_000599.html diff --git a/dir_000750_000037.html b/dir_000751_000037.html similarity index 100% rename from dir_000750_000037.html rename to dir_000751_000037.html diff --git a/dir_000750_000455.html b/dir_000751_000455.html similarity index 100% rename from dir_000750_000455.html rename to dir_000751_000455.html diff --git a/dir_000750_000480.html b/dir_000751_000480.html similarity index 100% rename from dir_000750_000480.html rename to dir_000751_000480.html diff --git a/dir_000755_000389.html b/dir_000756_000389.html similarity index 100% rename from dir_000755_000389.html rename to dir_000756_000389.html diff --git a/dir_000757_000390.html b/dir_000758_000390.html similarity index 100% rename from dir_000757_000390.html rename to dir_000758_000390.html diff --git a/dir_000758_000037.html b/dir_000759_000037.html similarity index 100% rename from dir_000758_000037.html rename to dir_000759_000037.html diff --git a/dir_000758_000180.html b/dir_000759_000180.html similarity index 100% rename from dir_000758_000180.html rename to dir_000759_000180.html diff --git a/dir_000758_000480.html b/dir_000759_000480.html similarity index 66% rename from dir_000758_000480.html rename to dir_000759_000480.html index cae888b6d97..1fa1df2db59 100644 --- a/dir_000758_000480.html +++ b/dir_000759_000480.html @@ -89,7 +89,7 @@ +

    record-minmax → luci Relation

    File in compiler/record-minmaxIncludes file in compiler/luci
    driver / Driver.cpplog / include / luci / Log.h
    driver / Driver.cppenv / include / luci / UserSettings.h
    include / MinMaxComputer.hlang / include / luci / IR / CircleNode.h
    include / RecordMinMax.hlang / include / luci / IR / Module.h
    src / MinMaxComputer.cpplang / include / luci / IR / CircleQuantParam.h
    src / MinMaxObserver.cpplang / include / luci / IR / CircleOpcode.h
    src / RecordFunction.cpplang / include / luci / IR / CircleQuantParam.h
    src / RecordMinMax.cpplang / include / luci / IR / DataTypeHelper.h
    src / RecordMinMax.cppimport / include / luci / Importer.h
    src / RecordMinMax.cppexport / include / luci / CircleExporter.h
    src / RecordMinMax.cppexport / include / luci / CircleFileExpContract.h
    src / RecordMinMax.cpplang / include / luci / IR / CircleQuantParam.h
    src / RecordMinMax.cpplog / include / luci / Log.h
    @@ -89,12 +89,12 @@
    -

    reverse → arser Relation

    File in compiler/tflchef/tools/reverseIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    reverse → arser Relation

    File in compiler/circlechef/tools/reverseIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    diff --git a/dir_000771_000074.html b/dir_000772_000074.html similarity index 100% rename from dir_000771_000074.html rename to dir_000772_000074.html diff --git a/dir_000772_000244.html b/dir_000772_000244.html index 9b483f46f4d..5159bc7b27a 100644 --- a/dir_000772_000244.html +++ b/dir_000772_000244.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tflchef/tools/reverse -> foder Relation +ONE - On-device Neural Engine: compiler/circlechef/tools/reverse -> foder Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    reverse → foder Relation

    File in compiler/tflchef/tools/reverseIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    +

    reverse → foder Relation

    File in compiler/circlechef/tools/reverseIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    diff --git a/dir_000771_000037.html b/dir_000773_000037.html similarity index 78% rename from dir_000771_000037.html rename to dir_000773_000037.html index 91637f1985a..965b1785d65 100644 --- a/dir_000771_000037.html +++ b/dir_000773_000037.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/circlechef/tools/reverse -> arser Relation +ONE - On-device Neural Engine: compiler/tflchef/tools/reverse -> arser Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    reverse → arser Relation

    File in compiler/circlechef/tools/reverseIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    reverse → arser Relation

    File in compiler/tflchef/tools/reverseIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    diff --git a/dir_000771_000244.html b/dir_000773_000244.html similarity index 78% rename from dir_000771_000244.html rename to dir_000773_000244.html index 5159bc7b27a..9b483f46f4d 100644 --- a/dir_000771_000244.html +++ b/dir_000773_000244.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/circlechef/tools/reverse -> foder Relation +ONE - On-device Neural Engine: compiler/tflchef/tools/reverse -> foder Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    reverse → foder Relation

    File in compiler/circlechef/tools/reverseIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    +

    reverse → foder Relation

    File in compiler/tflchef/tools/reverseIncludes file in compiler/foder
    Driver.cppinclude / foder / FileLoader.h
    diff --git a/dir_000772_001016.html b/dir_000773_001018.html similarity index 100% rename from dir_000772_001016.html rename to dir_000773_001018.html diff --git a/dir_000775_000593.html b/dir_000776_000594.html similarity index 100% rename from dir_000775_000593.html rename to dir_000776_000594.html diff --git a/dir_000776_000158.html b/dir_000777_000158.html similarity index 100% rename from dir_000776_000158.html rename to dir_000777_000158.html diff --git a/dir_000778_000158.html b/dir_000779_000158.html similarity index 100% rename from dir_000778_000158.html rename to dir_000779_000158.html diff --git a/dir_000779_000026.html b/dir_000780_000026.html similarity index 100% rename from dir_000779_000026.html rename to dir_000780_000026.html diff --git a/dir_000780_000614.html b/dir_000781_000615.html similarity index 100% rename from dir_000780_000614.html rename to dir_000781_000615.html diff --git a/dir_000780_000615.html b/dir_000781_000616.html similarity index 100% rename from dir_000780_000615.html rename to dir_000781_000616.html diff --git a/dir_000781_000152.html b/dir_000782_000152.html similarity index 100% rename from dir_000781_000152.html rename to dir_000782_000152.html diff --git a/dir_000782_000035.html b/dir_000783_000035.html similarity index 100% rename from dir_000782_000035.html rename to dir_000783_000035.html diff --git a/dir_000787_000587.html b/dir_000788_000588.html similarity index 100% rename from dir_000787_000587.html rename to dir_000788_000588.html diff --git a/dir_000788_000124.html b/dir_000789_000124.html similarity index 100% rename from dir_000788_000124.html rename to dir_000789_000124.html diff --git a/dir_000788_000159.html b/dir_000789_000159.html similarity index 100% rename from dir_000788_000159.html rename to dir_000789_000159.html diff --git a/dir_000788_000681.html b/dir_000789_000682.html similarity index 100% rename from dir_000788_000681.html rename to dir_000789_000682.html diff --git a/dir_000790_000032.html b/dir_000791_000032.html similarity index 100% rename from dir_000790_000032.html rename to dir_000791_000032.html diff --git a/dir_000792_000417.html b/dir_000793_000417.html similarity index 100% rename from dir_000792_000417.html rename to dir_000793_000417.html diff --git a/dir_000792_000455.html b/dir_000793_000455.html similarity index 100% rename from dir_000792_000455.html rename to dir_000793_000455.html diff --git a/dir_000792_000656.html b/dir_000793_000657.html similarity index 100% rename from dir_000792_000656.html rename to dir_000793_000657.html diff --git a/dir_000793_000418.html b/dir_000794_000418.html similarity index 100% rename from dir_000793_000418.html rename to dir_000794_000418.html diff --git a/dir_000794_000309.html b/dir_000795_000309.html similarity index 100% rename from dir_000794_000309.html rename to dir_000795_000309.html diff --git a/dir_000795_000455.html b/dir_000795_000455.html deleted file mode 100644 index 25455e31adf..00000000000 --- a/dir_000795_000455.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/locoex-customop/include/locoex/Service -> loco Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    Service → loco Relation

    File in compiler/locoex-customop/include/locoex/ServiceIncludes file in compiler/loco
    COpShapeInferenceRule.hinclude / loco / IR / Dialect.h
    COpShapeInferenceRule.hinclude / loco / IR / Node.h
    COpShapeInferenceRule.hinclude / loco / IR / NodeShape.h
    COpShapeInferenceRule.hinclude / loco / Service / ShapeInferenceRule.h
    COpTypeInference.hinclude / loco / Service / TypeInference.h
    -
    - - - - diff --git a/dir_000796_000455.html b/dir_000796_000455.html index ff1bfb9e2c3..25455e31adf 100644 --- a/dir_000796_000455.html +++ b/dir_000796_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/locoex-customop/src/Service -> loco Relation +ONE - On-device Neural Engine: compiler/locoex-customop/include/locoex/Service -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Service → loco Relation

    File in compiler/locoex-customop/src/ServiceIncludes file in compiler/loco
    COpShapeInferenceRule.cppinclude / loco / Service / ShapeInference.h
    +

    Service → loco Relation

    File in compiler/locoex-customop/include/locoex/ServiceIncludes file in compiler/loco
    COpShapeInferenceRule.hinclude / loco / IR / Dialect.h
    COpShapeInferenceRule.hinclude / loco / IR / Node.h
    COpShapeInferenceRule.hinclude / loco / IR / NodeShape.h
    COpShapeInferenceRule.hinclude / loco / Service / ShapeInferenceRule.h
    COpTypeInference.hinclude / loco / Service / TypeInference.h
    diff --git a/dir_000795_000461.html b/dir_000796_000461.html similarity index 100% rename from dir_000795_000461.html rename to dir_000796_000461.html diff --git a/dir_000796_000310.html b/dir_000797_000310.html similarity index 100% rename from dir_000796_000310.html rename to dir_000797_000310.html diff --git a/dir_000797_000442.html b/dir_000797_000442.html deleted file mode 100644 index c889166d43e..00000000000 --- a/dir_000797_000442.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/luci/service -> lang Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    service → lang Relation

    File in compiler/luci/serviceIncludes file in compiler/luci/lang
    src / Nodes / CircleConst.cppinclude / luci / IR / Nodes / CircleConst.h
    include / luci / Service / Nodes / CircleConst.hinclude / luci / IR / Nodes / CircleConst.h
    include / luci / Service / CircleNodeClone.hinclude / luci / IR / CircleNodes.h
    include / luci / Service / CircleShapeInference.hinclude / luci / IR / CircleNodes.h
    include / luci / Service / CircleShapeInference.hinclude / luci / IR / CircleNodeVisitor.h
    include / luci / Service / CircleTypeInference.hinclude / luci / IR / CircleNodes.h
    include / luci / Service / CircleTypeInference.hinclude / luci / IR / CircleNodeVisitor.h
    include / luci / Service / ShapeDescription.hinclude / luci / IR / CircleNodes.h
    include / luci / Service / Validate.hinclude / luci / IR / Module.h
    src / ChangeOutputs.cppinclude / luci / IR / CircleNode.h
    src / CircleCloneNode.hinclude / luci / IR / CircleNodes.h
    src / CircleCloneNode.hinclude / luci / IR / CircleNodeVisitor.h
    src / CircleNodeClone.cppinclude / luci / IR / CircleQuantParam.h
    src / CircleShapeInferenceHelper.hinclude / luci / IR / CircleNodes.h
    src / CircleShapeInferenceRule.cppinclude / luci / IR / CircleNodes.h
    src / CircleShapeInferenceRule.cppinclude / luci / IR / CircleDialect.h
    src / CircleShapeInferenceRule.cppinclude / luci / IR / CircleNodeVisitor.h
    src / CircleTypeInferenceHelper.hinclude / luci / IR / CircleNodes.h
    src / CircleTypeInferenceRule.cppinclude / luci / IR / CircleDialect.h
    src / CircleTypeInferenceRule.cppinclude / luci / IR / CircleNodeVisitor.h
    src / CircleTypeInferenceRule.cppinclude / luci / IR / CircleNodes.h
    src / ShapeInfer_StridedSlice.cppinclude / luci / IR / CircleNode.h
    src / ShapeInfer_StridedSlice.hinclude / luci / IR / CircleNodes.h
    src / TestGraph.hinclude / luci / IR / CircleNodes.h
    src / Validate.cppinclude / luci / IR / Nodes / CircleOutput.h
    src / Validate.cppinclude / luci / IR / CircleNodeVisitor.h
    -
    - - - - diff --git a/dir_000797_000455.html b/dir_000797_000455.html index a5866ffee82..ff1bfb9e2c3 100644 --- a/dir_000797_000455.html +++ b/dir_000797_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/service -> loco Relation +ONE - On-device Neural Engine: compiler/locoex-customop/src/Service -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    service → loco Relation

    File in compiler/luci/serviceIncludes file in compiler/loco
    src / Nodes / CircleConst.cppinclude / loco / IR / Graph.h
    src / Nodes / CircleConst.cppinclude / loco.h
    include / luci / Service / ChangeOutputs.hinclude / loco / IR / Graph.h
    include / luci / Service / CircleNodeClone.hinclude / loco / IR / Graph.h
    include / luci / Service / CircleShapeInference.hinclude / loco / IR / NodeShape.h
    include / luci / Service / CircleShapeInference.hinclude / loco / IR / TensorShape.h
    include / luci / Service / CircleShapeInferenceRule.hinclude / loco / Service / ShapeInference.h
    include / luci / Service / CircleTypeInference.hinclude / loco / IR / DataType.h
    include / luci / Service / CircleTypeInferenceRule.hinclude / loco / Service / TypeInference.h
    include / luci / Service / ShapeDescription.hinclude / loco / IR / PermutingCodec.h
    include / luci / Service / ShapeDescription.hinclude / loco / IR / NodeShape.h
    include / luci / Service / Validate.hinclude / loco.h
    src / ChangeOutputs.cppinclude / loco / IR / Graph.h
    src / CircleShapeInference.cppinclude / loco.h
    src / CircleShapeInferenceHelper.hinclude / loco / IR / NodeShape.h
    src / CircleShapeInferenceHelper.hinclude / loco / IR / TensorShape.h
    src / CircleTypeInference.cppinclude / loco.h
    src / CircleTypeInferenceHelper.hinclude / loco / IR / DataType.h
    src / ShapeInfer_StridedSlice.cppinclude / loco / IR / DataType.h
    src / ShapeInfer_StridedSlice.cppinclude / loco / IR / NodeShape.h
    src / ShapeInfer_StridedSlice.hinclude / loco / IR / NodeShape.h
    src / TestGraph.hinclude / loco.h
    src / Validate.cppinclude / loco / IR / NodeShape.h
    +

    Service → loco Relation

    File in compiler/locoex-customop/src/ServiceIncludes file in compiler/loco
    COpShapeInferenceRule.cppinclude / loco / Service / ShapeInference.h
    diff --git a/dir_000796_000733.html b/dir_000797_000734.html similarity index 100% rename from dir_000796_000733.html rename to dir_000797_000734.html diff --git a/dir_000798_000442.html b/dir_000798_000442.html index 2721712d39d..c889166d43e 100644 --- a/dir_000798_000442.html +++ b/dir_000798_000442.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/service/include/luci/Service -> lang Relation +ONE - On-device Neural Engine: compiler/luci/service -> lang Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    service → lang Relation

    File in compiler/luci/serviceIncludes file in compiler/luci/lang
    src / Nodes / CircleConst.cppinclude / luci / IR / Nodes / CircleConst.h
    include / luci / Service / Nodes / CircleConst.hinclude / luci / IR / Nodes / CircleConst.h
    include / luci / Service / CircleNodeClone.hinclude / luci / IR / CircleNodes.h
    include / luci / Service / CircleShapeInference.hinclude / luci / IR / CircleNodes.h
    include / luci / Service / CircleShapeInference.hinclude / luci / IR / CircleNodeVisitor.h
    include / luci / Service / CircleTypeInference.hinclude / luci / IR / CircleNodes.h
    include / luci / Service / CircleTypeInference.hinclude / luci / IR / CircleNodeVisitor.h
    include / luci / Service / ShapeDescription.hinclude / luci / IR / CircleNodes.h
    include / luci / Service / Validate.hinclude / luci / IR / Module.h
    src / ChangeOutputs.cppinclude / luci / IR / CircleNode.h
    src / CircleCloneNode.hinclude / luci / IR / CircleNodes.h
    src / CircleCloneNode.hinclude / luci / IR / CircleNodeVisitor.h
    src / CircleNodeClone.cppinclude / luci / IR / CircleQuantParam.h
    src / CircleShapeInferenceHelper.hinclude / luci / IR / CircleNodes.h
    src / CircleShapeInferenceRule.cppinclude / luci / IR / CircleNodes.h
    src / CircleShapeInferenceRule.cppinclude / luci / IR / CircleDialect.h
    src / CircleShapeInferenceRule.cppinclude / luci / IR / CircleNodeVisitor.h
    src / CircleTypeInferenceHelper.hinclude / luci / IR / CircleNodes.h
    src / CircleTypeInferenceRule.cppinclude / luci / IR / CircleDialect.h
    src / CircleTypeInferenceRule.cppinclude / luci / IR / CircleNodeVisitor.h
    src / CircleTypeInferenceRule.cppinclude / luci / IR / CircleNodes.h
    src / ShapeInfer_StridedSlice.cppinclude / luci / IR / CircleNode.h
    src / ShapeInfer_StridedSlice.hinclude / luci / IR / CircleNodes.h
    src / TestGraph.hinclude / luci / IR / CircleNodes.h
    src / Validate.cppinclude / luci / IR / Nodes / CircleOutput.h
    src / Validate.cppinclude / luci / IR / CircleNodeVisitor.h
    diff --git a/dir_000798_000455.html b/dir_000798_000455.html index f39e84511fb..a5866ffee82 100644 --- a/dir_000798_000455.html +++ b/dir_000798_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/service/include/luci/Service -> loco Relation +ONE - On-device Neural Engine: compiler/luci/service -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    service → loco Relation

    File in compiler/luci/serviceIncludes file in compiler/loco
    src / Nodes / CircleConst.cppinclude / loco / IR / Graph.h
    src / Nodes / CircleConst.cppinclude / loco.h
    include / luci / Service / ChangeOutputs.hinclude / loco / IR / Graph.h
    include / luci / Service / CircleNodeClone.hinclude / loco / IR / Graph.h
    include / luci / Service / CircleShapeInference.hinclude / loco / IR / NodeShape.h
    include / luci / Service / CircleShapeInference.hinclude / loco / IR / TensorShape.h
    include / luci / Service / CircleShapeInferenceRule.hinclude / loco / Service / ShapeInference.h
    include / luci / Service / CircleTypeInference.hinclude / loco / IR / DataType.h
    include / luci / Service / CircleTypeInferenceRule.hinclude / loco / Service / TypeInference.h
    include / luci / Service / ShapeDescription.hinclude / loco / IR / PermutingCodec.h
    include / luci / Service / ShapeDescription.hinclude / loco / IR / NodeShape.h
    include / luci / Service / Validate.hinclude / loco.h
    src / ChangeOutputs.cppinclude / loco / IR / Graph.h
    src / CircleShapeInference.cppinclude / loco.h
    src / CircleShapeInferenceHelper.hinclude / loco / IR / NodeShape.h
    src / CircleShapeInferenceHelper.hinclude / loco / IR / TensorShape.h
    src / CircleTypeInference.cppinclude / loco.h
    src / CircleTypeInferenceHelper.hinclude / loco / IR / DataType.h
    src / ShapeInfer_StridedSlice.cppinclude / loco / IR / DataType.h
    src / ShapeInfer_StridedSlice.cppinclude / loco / IR / NodeShape.h
    src / ShapeInfer_StridedSlice.hinclude / loco / IR / NodeShape.h
    src / TestGraph.hinclude / loco.h
    src / Validate.cppinclude / loco / IR / NodeShape.h
    diff --git a/dir_000797_000464.html b/dir_000798_000464.html similarity index 100% rename from dir_000797_000464.html rename to dir_000798_000464.html diff --git a/dir_000797_000468.html b/dir_000798_000468.html similarity index 100% rename from dir_000797_000468.html rename to dir_000798_000468.html diff --git a/dir_000797_000656.html b/dir_000798_000657.html similarity index 100% rename from dir_000797_000656.html rename to dir_000798_000657.html diff --git a/dir_000799_000442.html b/dir_000799_000442.html new file mode 100644 index 00000000000..2721712d39d --- /dev/null +++ b/dir_000799_000442.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/luci/service/include/luci/Service -> lang Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + + +
    + + + + diff --git a/dir_000799_000455.html b/dir_000799_000455.html index 5920b7bde39..f39e84511fb 100644 --- a/dir_000799_000455.html +++ b/dir_000799_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/service -> loco Relation +ONE - On-device Neural Engine: compiler/luci/service/include/luci/Service -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    service → loco Relation

    File in compiler/moco/serviceIncludes file in compiler/loco
    include / moco / Service / TFShapeInferenceRule.hinclude / loco / Service / ShapeInferenceRule.h
    include / moco / Service / TFTypeInferenceRule.hinclude / loco / Service / TypeInference.h
    src / Service / TFShapeInferenceRule.cppinclude / loco / IR / NodeShape.h
    src / Service / TFShapeInferenceRule.cppinclude / loco / Service / ShapeInference.h
    src / TestHelper.hinclude / loco.h
    +

    Service → loco Relation

    File in compiler/luci/service/include/luci/ServiceIncludes file in compiler/loco
    ChangeOutputs.hinclude / loco / IR / Graph.h
    CircleNodeClone.hinclude / loco / IR / Graph.h
    CircleShapeInference.hinclude / loco / IR / NodeShape.h
    CircleShapeInference.hinclude / loco / IR / TensorShape.h
    CircleShapeInferenceRule.hinclude / loco / Service / ShapeInference.h
    CircleTypeInference.hinclude / loco / IR / DataType.h
    CircleTypeInferenceRule.hinclude / loco / Service / TypeInference.h
    ShapeDescription.hinclude / loco / IR / NodeShape.h
    ShapeDescription.hinclude / loco / IR / PermutingCodec.h
    Validate.hinclude / loco.h
    diff --git a/dir_000799_000443.html b/dir_000800_000443.html similarity index 100% rename from dir_000799_000443.html rename to dir_000800_000443.html diff --git a/dir_000800_000455.html b/dir_000800_000455.html index 3602ff5563b..5920b7bde39 100644 --- a/dir_000800_000455.html +++ b/dir_000800_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/service/include/moco/Service -> loco Relation +ONE - On-device Neural Engine: compiler/moco/service -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Service → loco Relation

    File in compiler/moco/service/include/moco/ServiceIncludes file in compiler/loco
    TFShapeInferenceRule.hinclude / loco / Service / ShapeInferenceRule.h
    TFTypeInferenceRule.hinclude / loco / Service / TypeInference.h
    +

    service → loco Relation

    File in compiler/moco/serviceIncludes file in compiler/loco
    include / moco / Service / TFShapeInferenceRule.hinclude / loco / Service / ShapeInferenceRule.h
    include / moco / Service / TFTypeInferenceRule.hinclude / loco / Service / TypeInference.h
    src / Service / TFShapeInferenceRule.cppinclude / loco / IR / NodeShape.h
    src / Service / TFShapeInferenceRule.cppinclude / loco / Service / ShapeInference.h
    src / TestHelper.hinclude / loco.h
    diff --git a/dir_000799_000656.html b/dir_000800_000657.html similarity index 100% rename from dir_000799_000656.html rename to dir_000800_000657.html diff --git a/dir_000799_000967.html b/dir_000800_000969.html similarity index 100% rename from dir_000799_000967.html rename to dir_000800_000969.html diff --git a/dir_000801_000455.html b/dir_000801_000455.html index fda5ce75cc1..3602ff5563b 100644 --- a/dir_000801_000455.html +++ b/dir_000801_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/service/src/Service -> loco Relation +ONE - On-device Neural Engine: compiler/moco/service/include/moco/Service -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Service → loco Relation

    File in compiler/moco/service/src/ServiceIncludes file in compiler/loco
    TFShapeInferenceRule.cppinclude / loco / IR / NodeShape.h
    TFShapeInferenceRule.cppinclude / loco / Service / ShapeInference.h
    +

    Service → loco Relation

    File in compiler/moco/service/include/moco/ServiceIncludes file in compiler/loco
    TFShapeInferenceRule.hinclude / loco / Service / ShapeInferenceRule.h
    TFTypeInferenceRule.hinclude / loco / Service / TypeInference.h
    diff --git a/dir_000801_000347.html b/dir_000802_000347.html similarity index 100% rename from dir_000801_000347.html rename to dir_000802_000347.html diff --git a/dir_000801_000443.html b/dir_000802_000443.html similarity index 100% rename from dir_000801_000443.html rename to dir_000802_000443.html diff --git a/dir_000737_000027.html b/dir_000802_000455.html similarity index 68% rename from dir_000737_000027.html rename to dir_000802_000455.html index 71ff76d7565..fda5ce75cc1 100644 --- a/dir_000737_000027.html +++ b/dir_000802_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/plier-tf/include/plier -> angkor Relation +ONE - On-device Neural Engine: compiler/moco/service/src/Service -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    plier → angkor Relation

    File in compiler/plier-tf/include/plierIncludes file in compiler/angkor
    tf / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    +

    Service → loco Relation

    File in compiler/moco/service/src/ServiceIncludes file in compiler/loco
    TFShapeInferenceRule.cppinclude / loco / IR / NodeShape.h
    TFShapeInferenceRule.cppinclude / loco / Service / ShapeInference.h
    diff --git a/dir_000801_000656.html b/dir_000802_000657.html similarity index 100% rename from dir_000801_000656.html rename to dir_000802_000657.html diff --git a/dir_000801_000967.html b/dir_000802_000969.html similarity index 100% rename from dir_000801_000967.html rename to dir_000802_000969.html diff --git a/dir_000802_000448.html b/dir_000803_000448.html similarity index 100% rename from dir_000802_000448.html rename to dir_000803_000448.html diff --git a/dir_000805_000026.html b/dir_000806_000026.html similarity index 100% rename from dir_000805_000026.html rename to dir_000806_000026.html diff --git a/dir_000808_000352.html b/dir_000809_000352.html similarity index 100% rename from dir_000808_000352.html rename to dir_000809_000352.html diff --git a/dir_000808_000542.html b/dir_000809_000543.html similarity index 100% rename from dir_000808_000542.html rename to dir_000809_000543.html diff --git a/dir_000809_000542.html b/dir_000810_000543.html similarity index 100% rename from dir_000809_000542.html rename to dir_000810_000543.html diff --git a/dir_000810_000052.html b/dir_000811_000052.html similarity index 100% rename from dir_000810_000052.html rename to dir_000811_000052.html diff --git a/dir_000810_000352.html b/dir_000811_000352.html similarity index 100% rename from dir_000810_000352.html rename to dir_000811_000352.html diff --git a/dir_000810_000542.html b/dir_000811_000543.html similarity index 100% rename from dir_000810_000542.html rename to dir_000811_000543.html diff --git a/dir_000810_000544.html b/dir_000811_000545.html similarity index 100% rename from dir_000810_000544.html rename to dir_000811_000545.html diff --git a/dir_000813_000171.html b/dir_000815_000171.html similarity index 100% rename from dir_000813_000171.html rename to dir_000815_000171.html diff --git a/dir_000824_000676.html b/dir_000824_000676.html deleted file mode 100644 index ac869aa8ca8..00000000000 --- a/dir_000824_000676.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/ann-ref/src -> ops Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    src → ops Relation

    File in compiler/ann-ref/srcIncludes file in compiler/ann-ref/src/ops
    ops / Add.float.cppinternal / ActivationUtils.h
    ops / Add.float.cppinternal / Array.h
    ops / Add.float.cppinternal / Fused.h
    ops / Add.float.cppinternal / Matrix.h
    ops / Add.float.cppinternal / NDArray.h
    ops / AvgPool2D.cppinternal / Pooling.h
    ops / AvgPool2D.float.cppinternal / ActivationUtils.h
    ops / AvgPool2D.float.cppinternal / Array.h
    ops / AvgPool2D.float.cppinternal / FeatureMap.h
    ops / AvgPool2D.float.cppinternal / Fused.h
    ops / AvgPool2D.float.cppinternal / Matrix.h
    ops / Concatenation.float.cppinternal / Array.h
    ops / Concatenation.float.cppinternal / Fused.h
    ops / Concatenation.float.cppinternal / Matrix.h
    ops / Conv2D.cppinternal / Spatial.h
    ops / Conv2D.float.cppinternal / ActivationUtils.h
    ops / Conv2D.float.cppinternal / Array.h
    ops / Conv2D.float.cppinternal / Fused.h
    ops / Conv2D.float.cppinternal / GEMM.h
    ops / Conv2D.float.cppinternal / Matrix.h
    ops / Conv2D.float.cppinternal / Spatial.h
    ops / DepthwiseConv2D.cppinternal / Spatial.h
    ops / DepthwiseConv2D.float.cppinternal / ActivationUtils.h
    ops / DepthwiseConv2D.float.cppinternal / Array.h
    ops / DepthwiseConv2D.float.cppinternal / Fused.h
    ops / DepthwiseConv2D.float.cppinternal / Spatial.h
    ops / Div.float.cppinternal / ActivationUtils.h
    ops / Div.float.cppinternal / Array.h
    ops / Div.float.cppinternal / Fused.h
    ops / Div.float.cppinternal / Matrix.h
    ops / Div.float.cppinternal / NDArray.h
    Executor.cppAdd.float.h
    Executor.cppAdd.h
    Executor.cppAvgPool2D.float.h
    Executor.cppAvgPool2D.h
    Executor.cppConcatenation.float.h
    Executor.cppConcatenation.h
    Executor.cppConv2D.float.h
    Executor.cppConv2D.h
    Executor.cppDepthwiseConv2D.float.h
    Executor.cppDepthwiseConv2D.h
    Executor.cppDiv.float.h
    Executor.cppDiv.h
    Executor.cppFullyConnected.float.h
    Executor.cppFullyConnected.h
    Executor.cppMaxPool2D.float.h
    Executor.cppMaxPool2D.h
    Executor.cppMul.float.h
    Executor.cppMul.h
    Executor.cppPad.h
    Executor.cppReLU.float.h
    Executor.cppReLU.h
    Executor.cppReLU6.float.h
    Executor.cppReLU6.h
    Executor.cppReshape.h
    Executor.cppSoftmax.float.h
    Executor.cppSoftmax.h
    Executor.cppSub.float.h
    Executor.cppSub.h
    ops / FullyConnected.float.cppinternal / ActivationUtils.h
    ops / FullyConnected.float.cppinternal / Fused.h
    ops / FullyConnected.float.cppinternal / GEMM.h
    ops / FullyConnected.float.cppinternal / Matrix.h
    ops / MaxPool2D.cppinternal / Pooling.h
    ops / MaxPool2D.float.cppinternal / ActivationUtils.h
    ops / MaxPool2D.float.cppinternal / Array.h
    ops / MaxPool2D.float.cppinternal / FeatureMap.h
    ops / MaxPool2D.float.cppinternal / Fused.h
    ops / MaxPool2D.float.cppinternal / Matrix.h
    ops / Mul.float.cppinternal / ActivationUtils.h
    ops / Mul.float.cppinternal / Array.h
    ops / Mul.float.cppinternal / Fused.h
    ops / Mul.float.cppinternal / Matrix.h
    ops / Mul.float.cppinternal / NDArray.h
    ops / Pad.cppinternal / Dims.h
    ops / ReLU.cppinternal / Elementwise.h
    ops / ReLU6.cppinternal / Elementwise.h
    ops / Softmax.cppinternal / Elementwise.h
    ops / Softmax.float.cppinternal / Array.h
    ops / Softmax.float.cppinternal / Matrix.h
    ops / Sub.float.cppinternal / ActivationUtils.h
    ops / Sub.float.cppinternal / Array.h
    ops / Sub.float.cppinternal / Fused.h
    ops / Sub.float.cppinternal / Matrix.h
    ops / Sub.float.cppinternal / NDArray.h
    -
    - - - - diff --git a/dir_000823_000284.html b/dir_000825_000284.html similarity index 100% rename from dir_000823_000284.html rename to dir_000825_000284.html diff --git a/dir_000824_000210.html b/dir_000826_000210.html similarity index 100% rename from dir_000824_000210.html rename to dir_000826_000210.html diff --git a/dir_000826_000677.html b/dir_000826_000677.html new file mode 100644 index 00000000000..10b98bc21b5 --- /dev/null +++ b/dir_000826_000677.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/ann-ref/src -> ops Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    src → ops Relation

    File in compiler/ann-ref/srcIncludes file in compiler/ann-ref/src/ops
    ops / Add.float.cppinternal / ActivationUtils.h
    ops / Add.float.cppinternal / Array.h
    ops / Add.float.cppinternal / Fused.h
    ops / Add.float.cppinternal / Matrix.h
    ops / Add.float.cppinternal / NDArray.h
    ops / AvgPool2D.cppinternal / Pooling.h
    ops / AvgPool2D.float.cppinternal / ActivationUtils.h
    ops / AvgPool2D.float.cppinternal / Array.h
    ops / AvgPool2D.float.cppinternal / FeatureMap.h
    ops / AvgPool2D.float.cppinternal / Fused.h
    ops / AvgPool2D.float.cppinternal / Matrix.h
    ops / Concatenation.float.cppinternal / Array.h
    ops / Concatenation.float.cppinternal / Fused.h
    ops / Concatenation.float.cppinternal / Matrix.h
    ops / Conv2D.cppinternal / Spatial.h
    ops / Conv2D.float.cppinternal / ActivationUtils.h
    ops / Conv2D.float.cppinternal / Array.h
    ops / Conv2D.float.cppinternal / Fused.h
    ops / Conv2D.float.cppinternal / GEMM.h
    ops / Conv2D.float.cppinternal / Matrix.h
    ops / Conv2D.float.cppinternal / Spatial.h
    ops / DepthwiseConv2D.cppinternal / Spatial.h
    ops / DepthwiseConv2D.float.cppinternal / ActivationUtils.h
    ops / DepthwiseConv2D.float.cppinternal / Array.h
    ops / DepthwiseConv2D.float.cppinternal / Fused.h
    ops / DepthwiseConv2D.float.cppinternal / Spatial.h
    ops / Div.float.cppinternal / ActivationUtils.h
    ops / Div.float.cppinternal / Array.h
    ops / Div.float.cppinternal / Fused.h
    ops / Div.float.cppinternal / Matrix.h
    ops / Div.float.cppinternal / NDArray.h
    Executor.cppAdd.float.h
    Executor.cppAdd.h
    Executor.cppAvgPool2D.float.h
    Executor.cppAvgPool2D.h
    Executor.cppConcatenation.float.h
    Executor.cppConcatenation.h
    Executor.cppConv2D.float.h
    Executor.cppConv2D.h
    Executor.cppDepthwiseConv2D.float.h
    Executor.cppDepthwiseConv2D.h
    Executor.cppDiv.float.h
    Executor.cppDiv.h
    Executor.cppFullyConnected.float.h
    Executor.cppFullyConnected.h
    Executor.cppMaxPool2D.float.h
    Executor.cppMaxPool2D.h
    Executor.cppMul.float.h
    Executor.cppMul.h
    Executor.cppPad.h
    Executor.cppReLU.float.h
    Executor.cppReLU.h
    Executor.cppReLU6.float.h
    Executor.cppReLU6.h
    Executor.cppReshape.h
    Executor.cppSoftmax.float.h
    Executor.cppSoftmax.h
    Executor.cppSub.float.h
    Executor.cppSub.h
    ops / FullyConnected.float.cppinternal / ActivationUtils.h
    ops / FullyConnected.float.cppinternal / Fused.h
    ops / FullyConnected.float.cppinternal / GEMM.h
    ops / FullyConnected.float.cppinternal / Matrix.h
    ops / MaxPool2D.cppinternal / Pooling.h
    ops / MaxPool2D.float.cppinternal / ActivationUtils.h
    ops / MaxPool2D.float.cppinternal / Array.h
    ops / MaxPool2D.float.cppinternal / FeatureMap.h
    ops / MaxPool2D.float.cppinternal / Fused.h
    ops / MaxPool2D.float.cppinternal / Matrix.h
    ops / Mul.float.cppinternal / ActivationUtils.h
    ops / Mul.float.cppinternal / Array.h
    ops / Mul.float.cppinternal / Fused.h
    ops / Mul.float.cppinternal / Matrix.h
    ops / Mul.float.cppinternal / NDArray.h
    ops / Pad.cppinternal / Dims.h
    ops / ReLU.cppinternal / Elementwise.h
    ops / ReLU6.cppinternal / Elementwise.h
    ops / Softmax.cppinternal / Elementwise.h
    ops / Softmax.float.cppinternal / Array.h
    ops / Softmax.float.cppinternal / Matrix.h
    ops / Sub.float.cppinternal / ActivationUtils.h
    ops / Sub.float.cppinternal / Array.h
    ops / Sub.float.cppinternal / Fused.h
    ops / Sub.float.cppinternal / Matrix.h
    ops / Sub.float.cppinternal / NDArray.h
    +
    + + + + diff --git a/dir_000825_000224.html b/dir_000827_000224.html similarity index 100% rename from dir_000825_000224.html rename to dir_000827_000224.html diff --git a/dir_000825_000542.html b/dir_000827_000543.html similarity index 100% rename from dir_000825_000542.html rename to dir_000827_000543.html diff --git a/dir_000825_000545.html b/dir_000827_000546.html similarity index 100% rename from dir_000825_000545.html rename to dir_000827_000546.html diff --git a/dir_000826_000105.html b/dir_000828_000105.html similarity index 100% rename from dir_000826_000105.html rename to dir_000828_000105.html diff --git a/dir_000828_000480.html b/dir_000828_000480.html deleted file mode 100644 index f725f194330..00000000000 --- a/dir_000828_000480.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/circle-execution-plan/src -> luci Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
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    -
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    - - -
    - - - - diff --git a/dir_000827_000180.html b/dir_000829_000180.html similarity index 100% rename from dir_000827_000180.html rename to dir_000829_000180.html diff --git a/dir_000827_000244.html b/dir_000829_000244.html similarity index 100% rename from dir_000827_000244.html rename to dir_000829_000244.html diff --git a/dir_000827_000288.html b/dir_000829_000288.html similarity index 100% rename from dir_000827_000288.html rename to dir_000829_000288.html diff --git a/dir_000827_000455.html b/dir_000829_000455.html similarity index 100% rename from dir_000827_000455.html rename to dir_000829_000455.html diff --git a/dir_000827_000480.html b/dir_000829_000480.html similarity index 100% rename from dir_000827_000480.html rename to dir_000829_000480.html diff --git a/dir_000830_000037.html b/dir_000830_000037.html index 57af48594d4..7502e60384c 100644 --- a/dir_000830_000037.html +++ b/dir_000830_000037.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/circle-interpreter/src -> arser Relation +ONE - On-device Neural Engine: compiler/circle-execution-plan/src -> arser Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → arser Relation

    File in compiler/circle-interpreter/srcIncludes file in compiler/arser
    CircleInterpreter.cppinclude / arser / arser.h
    +

    src → arser Relation

    File in compiler/circle-execution-plan/srcIncludes file in compiler/arser
    CircleExecutionPlan.cppinclude / arser / arser.h
    diff --git a/dir_000828_000244.html b/dir_000830_000244.html similarity index 100% rename from dir_000828_000244.html rename to dir_000830_000244.html diff --git a/dir_000828_000455.html b/dir_000830_000455.html similarity index 100% rename from dir_000828_000455.html rename to dir_000830_000455.html diff --git a/dir_000830_000480.html b/dir_000830_000480.html index c8c65332a95..f725f194330 100644 --- a/dir_000830_000480.html +++ b/dir_000830_000480.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/circle-interpreter/src -> luci Relation +ONE - On-device Neural Engine: compiler/circle-execution-plan/src -> luci Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → luci Relation

    File in compiler/circle-interpreter/srcIncludes file in compiler/luci
    CircleInterpreter.cpplang / include / luci / IR / DataTypeHelper.h
    CircleInterpreter.cppimport / include / luci / ImporterEx.h
    +

    src → luci Relation

    File in compiler/circle-execution-plan/srcIncludes file in compiler/luci
    CircleExecutionPlan.cppexport / include / luci / CircleExporter.h
    CircleExecutionPlan.cppexport / include / luci / CircleFileExpContract.h
    CircleExecutionPlan.cppimport / include / luci / Importer.h
    ExecutionPlanner.cpplog / include / luci / Log.h
    ExecutionPlanner.cppenv / include / luci / UserSettings.h
    ExecutionPlanner.hplan / include / luci / Plan / CircleNodeExecutionPlan.h
    ExecutionPlanner.hlang / include / luci / IR / Module.h
    diff --git a/dir_000828_000701.html b/dir_000830_000702.html similarity index 100% rename from dir_000828_000701.html rename to dir_000830_000702.html diff --git a/dir_000831_000480.html b/dir_000831_000480.html deleted file mode 100644 index a0003316873..00000000000 --- a/dir_000831_000480.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/circle-mpqsolver/src -> luci Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    src → luci Relation

    File in compiler/circle-mpqsolver/srcIncludes file in compiler/luci
    bisection / BisectionSolver.cppimport / include / luci / ImporterEx.h
    bisection / BisectionSolver.hlang / include / luci / IR / Module.h
    CircleMPQSolver.cppexport / include / luci / CircleExporter.h
    CircleMPQSolver.cppexport / include / luci / CircleFileExpContract.h
    core / DataProvider.cpplang / include / luci / IR / CircleNodes.h
    core / DataProvider.cppimport / include / luci / ImporterEx.h
    core / DataProvider.hlang / include / luci / IR / Module.h
    bisection / DepthParameterizer.hlang / include / luci / IR / CircleNodeDecl.h
    bisection / DepthParameterizer.hlang / include / luci / IR / Module.h
    core / Dumper.cppexport / include / luci / CircleExporter.h
    core / Dumper.cppexport / include / luci / CircleFileExpContract.h
    core / Dumper.hpass / include / luci / CircleQuantizer.h
    core / Dumper.hlang / include / luci / IR / Module.h
    core / DumpingHooks.hlang / include / luci / IR / Module.h
    core / ErrorMetric.cpplang / include / luci / IR / DataTypeHelper.h
    core / Evaluator.cpplang / include / luci / IR / DataTypeHelper.h
    core / Evaluator.hpass / include / luci / CircleQuantizer.h
    core / Evaluator.hlang / include / luci / IR / Module.h
    MPQSolver.cppimport / include / luci / ImporterEx.h
    MPQSolver.hlang / include / luci / IR / CircleNodes.h
    pattern / PatternResolver.hlang / include / luci / IR / CircleNodes.h
    pattern / PatternResolver.hpass / include / luci / CircleQuantizer.h
    pattern / PatternResolver.hlang / include / luci / IR / Module.h
    core / Quantizer.cppservice / include / luci / Service / Validate.h
    core / Quantizer.hpass / include / luci / CircleQuantizer.h
    core / Quantizer.hlang / include / luci / IR / Module.h
    core / SolverHooks.hlang / include / luci / IR / Module.h
    core / TestHelper.hlang / include / luci / IR / CircleNodes.h
    core / TestHelper.hlang / include / luci / IR / Module.h
    -
    - - - - diff --git a/dir_000836_000037.html b/dir_000832_000037.html similarity index 80% rename from dir_000836_000037.html rename to dir_000832_000037.html index 0d2bc4775c6..57af48594d4 100644 --- a/dir_000836_000037.html +++ b/dir_000832_000037.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/circle-quantizer/src -> arser Relation +ONE - On-device Neural Engine: compiler/circle-interpreter/src -> arser Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → arser Relation

    File in compiler/circle-quantizer/srcIncludes file in compiler/arser
    CircleQuantizer.cppinclude / arser / arser.h
    +

    src → arser Relation

    File in compiler/circle-interpreter/srcIncludes file in compiler/arser
    CircleInterpreter.cppinclude / arser / arser.h
    diff --git a/dir_000717_000455.html b/dir_000832_000480.html similarity index 70% rename from dir_000717_000455.html rename to dir_000832_000480.html index 887f3435c5f..c8c65332a95 100644 --- a/dir_000717_000455.html +++ b/dir_000832_000480.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/logo-ex/src/Passes -> loco Relation +ONE - On-device Neural Engine: compiler/circle-interpreter/src -> luci Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    Passes → loco Relation

    File in compiler/logo-ex/src/PassesIncludes file in compiler/loco
    ConstantFoldingPass.cppinclude / loco / IR / CanonicalDialect.h
    ConstantFoldingPass.cppinclude / loco.h
    +

    src → luci Relation

    File in compiler/circle-interpreter/srcIncludes file in compiler/luci
    CircleInterpreter.cpplang / include / luci / IR / DataTypeHelper.h
    CircleInterpreter.cppimport / include / luci / ImporterEx.h
    diff --git a/dir_000830_001057.html b/dir_000832_001059.html similarity index 100% rename from dir_000830_001057.html rename to dir_000832_001059.html diff --git a/dir_000831_000037.html b/dir_000833_000037.html similarity index 100% rename from dir_000831_000037.html rename to dir_000833_000037.html diff --git a/dir_000831_000060.html b/dir_000833_000060.html similarity index 100% rename from dir_000831_000060.html rename to dir_000833_000060.html diff --git a/dir_000831_000142.html b/dir_000833_000142.html similarity index 100% rename from dir_000831_000142.html rename to dir_000833_000142.html diff --git a/dir_000831_000180.html b/dir_000833_000180.html similarity index 100% rename from dir_000831_000180.html rename to dir_000833_000180.html diff --git a/dir_000831_000455.html b/dir_000833_000455.html similarity index 100% rename from dir_000831_000455.html rename to dir_000833_000455.html diff --git a/dir_000833_000480.html b/dir_000833_000480.html index 2030d3f0385..a0003316873 100644 --- a/dir_000833_000480.html +++ b/dir_000833_000480.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/circle-opselector/src -> luci Relation +ONE - On-device Neural Engine: compiler/circle-mpqsolver/src -> luci Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    src → luci Relation

    File in compiler/circle-mpqsolver/srcIncludes file in compiler/luci
    bisection / BisectionSolver.cppimport / include / luci / ImporterEx.h
    bisection / BisectionSolver.hlang / include / luci / IR / Module.h
    CircleMPQSolver.cppexport / include / luci / CircleExporter.h
    CircleMPQSolver.cppexport / include / luci / CircleFileExpContract.h
    core / DataProvider.cpplang / include / luci / IR / CircleNodes.h
    core / DataProvider.cppimport / include / luci / ImporterEx.h
    core / DataProvider.hlang / include / luci / IR / Module.h
    bisection / DepthParameterizer.hlang / include / luci / IR / CircleNodeDecl.h
    bisection / DepthParameterizer.hlang / include / luci / IR / Module.h
    core / Dumper.cppexport / include / luci / CircleExporter.h
    core / Dumper.cppexport / include / luci / CircleFileExpContract.h
    core / Dumper.hpass / include / luci / CircleQuantizer.h
    core / Dumper.hlang / include / luci / IR / Module.h
    core / DumpingHooks.hlang / include / luci / IR / Module.h
    core / ErrorMetric.cpplang / include / luci / IR / DataTypeHelper.h
    core / Evaluator.cpplang / include / luci / IR / DataTypeHelper.h
    core / Evaluator.hpass / include / luci / CircleQuantizer.h
    core / Evaluator.hlang / include / luci / IR / Module.h
    MPQSolver.cppimport / include / luci / ImporterEx.h
    MPQSolver.hlang / include / luci / IR / CircleNodes.h
    pattern / PatternResolver.hlang / include / luci / IR / CircleNodes.h
    pattern / PatternResolver.hpass / include / luci / CircleQuantizer.h
    pattern / PatternResolver.hlang / include / luci / IR / Module.h
    core / Quantizer.cppservice / include / luci / Service / Validate.h
    core / Quantizer.hpass / include / luci / CircleQuantizer.h
    core / Quantizer.hlang / include / luci / IR / Module.h
    core / SolverHooks.hlang / include / luci / IR / Module.h
    core / TestHelper.hlang / include / luci / IR / CircleNodes.h
    core / TestHelper.hlang / include / luci / IR / Module.h
    diff --git a/dir_000831_000723.html b/dir_000833_000724.html similarity index 100% rename from dir_000831_000723.html rename to dir_000833_000724.html diff --git a/dir_000831_001057.html b/dir_000833_001059.html similarity index 100% rename from dir_000831_001057.html rename to dir_000833_001059.html diff --git a/dir_000834_000480.html b/dir_000834_000480.html deleted file mode 100644 index 5acd8e8896e..00000000000 --- a/dir_000834_000480.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/circle-part-driver/src -> luci Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    src → luci Relation

    File in compiler/circle-part-driver/srcIncludes file in compiler/luci
    Driver.cpplog / include / luci / Log.h
    PModelsRunner.cpplang / include / luci / IR / Nodes / CircleInput.h
    PModelsRunner.cpplang / include / luci / IR / Nodes / CircleOutput.h
    PModelsRunner.cpplang / include / luci / IR / DataTypeHelper.h
    PModelsRunner.cppimport / include / luci / Importer.h
    PModelsRunner.cpplog / include / luci / Log.h
    -
    - - - - diff --git a/dir_000833_000210.html b/dir_000835_000210.html similarity index 100% rename from dir_000833_000210.html rename to dir_000835_000210.html diff --git a/dir_000833_000244.html b/dir_000835_000244.html similarity index 100% rename from dir_000833_000244.html rename to dir_000835_000244.html diff --git a/dir_000835_000480.html b/dir_000835_000480.html index b5cb82c054c..2030d3f0385 100644 --- a/dir_000835_000480.html +++ b/dir_000835_000480.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/circle-partitioner/src -> luci Relation +ONE - On-device Neural Engine: compiler/circle-opselector/src -> luci Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    src → luci Relation

    File in compiler/circle-opselector/srcIncludes file in compiler/luci
    ModuleIO.cppexport / include / luci / CircleExporter.h
    ModuleIO.cppexport / include / luci / CircleFileExpContract.h
    ModuleIO.cppimport / include / luci / Importer.h
    ModuleIO.hlang / include / luci / IR / Module.h
    OpSelector.cppservice / include / luci / Service / CircleNodeClone.h
    OpSelector.cppprofile / include / luci / Profile / CircleNodeID.h
    OpSelector.cpppartition / include / luci / ConnectNode.h
    OpSelector.hlang / include / luci / IR / CircleNodeDecl.h
    OpSelector.hlang / include / luci / IR / Module.h
    diff --git a/dir_000834_000164.html b/dir_000836_000164.html similarity index 100% rename from dir_000834_000164.html rename to dir_000836_000164.html diff --git a/dir_000834_000244.html b/dir_000836_000244.html similarity index 100% rename from dir_000834_000244.html rename to dir_000836_000244.html diff --git a/dir_000836_000480.html b/dir_000836_000480.html index 8ed19cb01ca..5acd8e8896e 100644 --- a/dir_000836_000480.html +++ b/dir_000836_000480.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/circle-quantizer/src -> luci Relation +ONE - On-device Neural Engine: compiler/circle-part-driver/src -> luci Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    src → luci Relation

    File in compiler/circle-part-driver/srcIncludes file in compiler/luci
    Driver.cpplog / include / luci / Log.h
    PModelsRunner.cpplang / include / luci / IR / Nodes / CircleInput.h
    PModelsRunner.cpplang / include / luci / IR / Nodes / CircleOutput.h
    PModelsRunner.cpplang / include / luci / IR / DataTypeHelper.h
    PModelsRunner.cppimport / include / luci / Importer.h
    PModelsRunner.cpplog / include / luci / Log.h
    diff --git a/dir_000835_000037.html b/dir_000837_000037.html similarity index 100% rename from dir_000835_000037.html rename to dir_000837_000037.html diff --git a/dir_000835_000164.html b/dir_000837_000164.html similarity index 100% rename from dir_000835_000164.html rename to dir_000837_000164.html diff --git a/dir_000837_000480.html b/dir_000837_000480.html new file mode 100644 index 00000000000..b5cb82c054c --- /dev/null +++ b/dir_000837_000480.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/circle-partitioner/src -> luci Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + + + + + + diff --git a/dir_000835_000731.html b/dir_000837_000732.html similarity index 100% rename from dir_000835_000731.html rename to dir_000837_000732.html diff --git a/dir_000835_001057.html b/dir_000837_001059.html similarity index 100% rename from dir_000835_001057.html rename to dir_000837_001059.html diff --git a/dir_000838_000037.html b/dir_000838_000037.html index 392cb3b1cc4..0d2bc4775c6 100644 --- a/dir_000838_000037.html +++ b/dir_000838_000037.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/circle-verify/src -> arser Relation +ONE - On-device Neural Engine: compiler/circle-quantizer/src -> arser Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → arser Relation

    File in compiler/circle-verify/srcIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    +

    src → arser Relation

    File in compiler/circle-quantizer/srcIncludes file in compiler/arser
    CircleQuantizer.cppinclude / arser / arser.h
    diff --git a/dir_000838_000480.html b/dir_000838_000480.html new file mode 100644 index 00000000000..8ed19cb01ca --- /dev/null +++ b/dir_000838_000480.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/circle-quantizer/src -> luci Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + + +
    + + + + diff --git a/dir_000836_000656.html b/dir_000838_000657.html similarity index 100% rename from dir_000836_000656.html rename to dir_000838_000657.html diff --git a/dir_000836_001057.html b/dir_000838_001059.html similarity index 100% rename from dir_000836_001057.html rename to dir_000838_001059.html diff --git a/dir_000828_000037.html b/dir_000840_000037.html similarity index 80% rename from dir_000828_000037.html rename to dir_000840_000037.html index 7502e60384c..392cb3b1cc4 100644 --- a/dir_000828_000037.html +++ b/dir_000840_000037.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/circle-execution-plan/src -> arser Relation +ONE - On-device Neural Engine: compiler/circle-verify/src -> arser Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → arser Relation

    File in compiler/circle-execution-plan/srcIncludes file in compiler/arser
    CircleExecutionPlan.cppinclude / arser / arser.h
    +

    src → arser Relation

    File in compiler/circle-verify/srcIncludes file in compiler/arser
    Driver.cppinclude / arser / arser.h
    diff --git a/dir_000838_000244.html b/dir_000840_000244.html similarity index 100% rename from dir_000838_000244.html rename to dir_000840_000244.html diff --git a/dir_000839_000037.html b/dir_000841_000037.html similarity index 100% rename from dir_000839_000037.html rename to dir_000841_000037.html diff --git a/dir_000839_000210.html b/dir_000841_000210.html similarity index 100% rename from dir_000839_000210.html rename to dir_000841_000210.html diff --git a/dir_000839_000480.html b/dir_000841_000480.html similarity index 100% rename from dir_000839_000480.html rename to dir_000841_000480.html diff --git a/dir_000839_000656.html b/dir_000841_000657.html similarity index 100% rename from dir_000839_000656.html rename to dir_000841_000657.html diff --git a/dir_000839_001057.html b/dir_000841_001059.html similarity index 100% rename from dir_000839_001057.html rename to dir_000841_001059.html diff --git a/dir_000840_000289.html b/dir_000842_000289.html similarity index 100% rename from dir_000840_000289.html rename to dir_000842_000289.html diff --git a/dir_000840_000658.html b/dir_000842_000659.html similarity index 100% rename from dir_000840_000658.html rename to dir_000842_000659.html diff --git a/dir_000840_000812.html b/dir_000842_000814.html similarity index 100% rename from dir_000840_000812.html rename to dir_000842_000814.html diff --git a/dir_000841_000290.html b/dir_000843_000290.html similarity index 100% rename from dir_000841_000290.html rename to dir_000843_000290.html diff --git a/dir_000841_000659.html b/dir_000843_000660.html similarity index 89% rename from dir_000841_000659.html rename to dir_000843_000660.html index fcb34f48dc9..c4fecde09c1 100644 --- a/dir_000841_000659.html +++ b/dir_000843_000660.html @@ -89,7 +89,7 @@
    -

    src → Op Relation

    File in compiler/circlechef/core/srcIncludes file in compiler/circlechef/core/src/Op
    OpChefs.hBatchMatMul.h
    OpChefs.hBCQFullyConnected.h
    OpChefs.hBCQGather.h
    OpChefs.hGRU.h
    OpChefs.hInstanceNorm.h
    +

    src → Op Relation

    File in compiler/circlechef/core/srcIncludes file in compiler/circlechef/core/src/Op
    OpChefs.hBatchMatMul.h
    OpChefs.hBCQFullyConnected.h
    OpChefs.hBCQGather.h
    OpChefs.hFullyConnected.h
    OpChefs.hGRU.h
    OpChefs.hInstanceNorm.h
    -

    src → include Relation

    File in compiler/coco/core/srcIncludes file in compiler/coco/core/include
    IR / Arg.cppcoco / IR / Arg.h
    IR / Bag.cppcoco / IR / Bag.h
    IR / Bag.cppcoco / IR / Object.h
    IR / Bag.cppcoco / IR / Read.h
    IR / Bag.cppcoco / IR / Update.h
    IR / BagManager.cppcoco / IR / BagManager.h
    IR / Block.cppcoco / IR / Block.h
    IR / Block.cppcoco / IR / Module.h
    IR / BlockIndex.cppcoco / IR / BlockIndex.h
    IR / BlockManager.cppcoco / IR / BlockManager.h
    IR / Consumer.mock.hcoco / IR / Object.h
    IR / Conv2D.cppcoco / IR / Ops.h
    IR / Def.cppcoco / IR / Def.h
    IR / Dep.cppcoco / IR / Dep.h
    IR / Dep.cppcoco / IR / Object.h
    IR / ElemID.cppcoco / IR / ElemID.h
    IR / EntityManager.cppcoco / IR / EntityManager.h
    IR / Eval.cppcoco / IR / Instrs.h
    IR / Eval.cppcoco / IR / Op.h
    IR / FeatureLayouts.cppcoco / IR / FeatureLayouts.h
    IR / FeatureObject.cppcoco / IR / FeatureObject.h
    IR / Input.cppcoco / IR / Input.h
    IR / InputManager.cppcoco / IR / InputManager.h
    IR / Instr.cppcoco / IR / Block.h
    IR / Instr.cppcoco / IR / Instr.h
    IR / InstrIndex.cppcoco / IR / InstrIndex.h
    IR / InstrManager.cppcoco / IR / InstrManager.h
    IR / InstrManager.cppcoco / IR / Op.h
    IR / KernelLayouts.cppcoco / IR / KernelLayouts.h
    IR / KernelObject.cppcoco / IR / KernelLayouts.h
    IR / KernelObject.cppcoco / IR / KernelObject.h
    IR / Load.cppcoco / IR / Ops.h
    IR / Module.cppcoco / IR / Module.h
    IR / Object.cppcoco / IR / Def.h
    IR / Object.cppcoco / IR / Object.h
    IR / Object.cppcoco / IR / Use.h
    IR / ObjectManager.cppcoco / IR / FeatureObject.h
    IR / ObjectManager.cppcoco / IR / KernelObject.h
    IR / ObjectManager.cppcoco / IR / ObjectManager.h
    IR / Op.cppcoco / IR / Op.h
    IR / Op.cppcoco / IR / Part.h
    IR / Op.cppcoco / IR / Step.h
    IR / OpManager.cppcoco / IR / OpManager.h
    IR / Ops.cppcoco / IR / Ops.h
    IR / Output.cppcoco / IR / Output.h
    IR / OutputManager.cppcoco / IR / OutputManager.h
    IR / Padding2D.cppcoco / IR / Padding2D.h
    IR / Part.cppcoco / IR / Op.h
    IR / Part.cppcoco / IR / Part.h
    IR / Producer.mock.hcoco / IR / Object.h
    ADT / PtrList.cppcoco / ADT / PtrList.h
    IR / Read.cppcoco / IR / Read.h
    IR / Reader.mock.hcoco / IR / Bag.h
    IR / Shuffle.cppcoco / IR / Instrs.h
    IR / Step.cppcoco / IR / Op.h
    IR / Step.cppcoco / IR / Step.h
    IR / Stride2D.cppcoco / IR / Stride2D.h
    IR / Update.cppcoco / IR / Update.h
    IR / Updater.mock.hcoco / IR / Bag.h
    IR / Use.cppcoco / IR / Use.h
    +

    src → include Relation

    File in compiler/coco/core/srcIncludes file in compiler/coco/core/include
    IR / Arg.cppcoco / IR / Arg.h
    IR / Bag.cppcoco / IR / Bag.h
    IR / Bag.cppcoco / IR / Object.h
    IR / Bag.cppcoco / IR / Read.h
    IR / Bag.cppcoco / IR / Update.h
    IR / BagManager.cppcoco / IR / BagManager.h
    IR / Block.cppcoco / IR / Block.h
    IR / Block.cppcoco / IR / Module.h
    IR / BlockIndex.cppcoco / IR / BlockIndex.h
    IR / BlockManager.cppcoco / IR / BlockManager.h
    IR / Consumer.mock.hcoco / IR / Object.h
    IR / Conv2D.cppcoco / IR / Ops.h
    IR / Def.cppcoco / IR / Def.h
    IR / Dep.cppcoco / IR / Dep.h
    IR / Dep.cppcoco / IR / Object.h
    IR / ElemID.cppcoco / IR / ElemID.h
    IR / EntityManager.cppcoco / IR / EntityManager.h
    IR / Eval.cppcoco / IR / Instrs.h
    IR / Eval.cppcoco / IR / Op.h
    IR / FeatureLayouts.cppcoco / IR / FeatureLayouts.h
    IR / FeatureObject.cppcoco / IR / FeatureObject.h
    IR / Input.cppcoco / IR / Input.h
    IR / InputManager.cppcoco / IR / InputManager.h
    IR / Instr.cppcoco / IR / Block.h
    IR / Instr.cppcoco / IR / Instr.h
    IR / InstrIndex.cppcoco / IR / InstrIndex.h
    IR / InstrManager.cppcoco / IR / InstrManager.h
    IR / InstrManager.cppcoco / IR / Op.h
    IR / KernelLayouts.cppcoco / IR / KernelLayouts.h
    IR / KernelObject.cppcoco / IR / KernelLayouts.h
    IR / KernelObject.cppcoco / IR / KernelObject.h
    IR / Load.cppcoco / IR / Ops.h
    IR / Module.cppcoco / IR / Module.h
    IR / Object.cppcoco / IR / Def.h
    IR / Object.cppcoco / IR / Object.h
    IR / Object.cppcoco / IR / Use.h
    IR / ObjectManager.cppcoco / IR / FeatureObject.h
    IR / ObjectManager.cppcoco / IR / KernelObject.h
    IR / ObjectManager.cppcoco / IR / ObjectManager.h
    IR / Op.cppcoco / IR / Op.h
    IR / Op.cppcoco / IR / Part.h
    IR / Op.cppcoco / IR / Step.h
    IR / OpManager.cppcoco / IR / OpManager.h
    IR / Ops.cppcoco / IR / Ops.h
    IR / Output.cppcoco / IR / Output.h
    IR / OutputManager.cppcoco / IR / OutputManager.h
    IR / Padding2D.cppcoco / IR / Padding2D.h
    IR / Part.cppcoco / IR / Op.h
    IR / Part.cppcoco / IR / Part.h
    IR / Producer.mock.hcoco / IR / Object.h
    ADT / PtrList.cppcoco / ADT / PtrList.h
    IR / Read.cppcoco / IR / Read.h
    IR / Reader.mock.hcoco / IR / Bag.h
    IR / Shuffle.cppcoco / IR / Instrs.h
    IR / Step.cppcoco / IR / Op.h
    IR / Step.cppcoco / IR / Step.h
    IR / Stride2D.cppcoco / IR / Stride2D.h
    IR / Update.cppcoco / IR / Update.h
    IR / Updater.mock.hcoco / IR / Bag.h
    IR / Use.cppcoco / IR / Use.h
    -

    src → pepper-assert Relation

    File in compiler/coco/core/srcIncludes file in compiler/pepper-assert
    IR / Conv2D.cppinclude / pepper / assert.h
    IR / Op.cppinclude / pepper / assert.h
    +

    src → pepper-assert Relation

    File in compiler/coco/core/srcIncludes file in compiler/pepper-assert
    IR / Conv2D.cppinclude / pepper / assert.h
    IR / Op.cppinclude / pepper / assert.h
    @@ -89,12 +89,12 @@
    -

    src → foder Relation

    File in compiler/dalgona/srcIncludes file in compiler/foder
    Dalgona.cppinclude / foder / FileLoader.h
    +

    src → foder Relation

    File in compiler/crew/srcIncludes file in compiler/foder
    PConfigIni.cppinclude / foder / FileLoader.h
    diff --git a/dir_000848_000296.html b/dir_000850_000296.html similarity index 100% rename from dir_000848_000296.html rename to dir_000850_000296.html diff --git a/dir_000850_000480.html b/dir_000850_000480.html deleted file mode 100644 index f1defd596a8..00000000000 --- a/dir_000850_000480.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/dalgona/src -> luci Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
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    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - - -
    - - - - diff --git a/dir_000849_000297.html b/dir_000851_000297.html similarity index 100% rename from dir_000849_000297.html rename to dir_000851_000297.html diff --git a/dir_000850_000180.html b/dir_000852_000180.html similarity index 100% rename from dir_000850_000180.html rename to dir_000852_000180.html diff --git a/dir_000848_000244.html b/dir_000852_000244.html similarity index 81% rename from dir_000848_000244.html rename to dir_000852_000244.html index 89f04d0c066..c4973985ae6 100644 --- a/dir_000848_000244.html +++ b/dir_000852_000244.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/crew/src -> foder Relation +ONE - On-device Neural Engine: compiler/dalgona/src -> foder Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → foder Relation

    File in compiler/crew/srcIncludes file in compiler/foder
    PConfigIni.cppinclude / foder / FileLoader.h
    +

    src → foder Relation

    File in compiler/dalgona/srcIncludes file in compiler/foder
    Dalgona.cppinclude / foder / FileLoader.h
    diff --git a/dir_000850_000298.html b/dir_000852_000298.html similarity index 100% rename from dir_000850_000298.html rename to dir_000852_000298.html diff --git a/dir_000850_000455.html b/dir_000852_000455.html similarity index 100% rename from dir_000850_000455.html rename to dir_000852_000455.html diff --git a/dir_000852_000480.html b/dir_000852_000480.html index ddd2950316e..901dae91fa8 100644 --- a/dir_000852_000480.html +++ b/dir_000852_000480.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/embedded-import-value-test/src -> luci Relation +ONE - On-device Neural Engine: compiler/dalgona/src -> luci Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → luci Relation

    File in compiler/embedded-import-value-test/srcIncludes file in compiler/luci
    TestDriver.cpplang / include / luci / IR / DataTypeHelper.h
    TestDriver.cppimport / include / luci / Importer.h
    +

    src → luci Relation

    File in compiler/dalgona/srcIncludes file in compiler/luci
    Dalgona.cpplang / include / luci / IR / DataTypeHelper.h
    Dalgona.cppimport / include / luci / Importer.h
    PostOperatorHook.hlang / include / luci / IR / CircleNodeVisitor.h
    PreOperatorHook.hlang / include / luci / IR / CircleNodeVisitor.h
    StringUtils.cpplang / include / luci / IR / CircleNodeDecl.h
    StringUtils.hlang / include / luci / IR / AttrFusedActFunc.h
    StringUtils.hlang / include / luci / IR / CircleOpcode.h
    Utils.cpplang / include / luci / IR / CircleNodeDecl.h
    Utils.cpplang / include / luci / IR / CircleOpcode.h
    diff --git a/dir_000851_000299.html b/dir_000853_000299.html similarity index 100% rename from dir_000851_000299.html rename to dir_000853_000299.html diff --git a/dir_000854_000027.html b/dir_000854_000027.html deleted file mode 100644 index 4dc1d821063..00000000000 --- a/dir_000854_000027.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/enco/core/src -> angkor Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - - -
    - - - - diff --git a/dir_000854_000114.html b/dir_000854_000114.html deleted file mode 100644 index 6eb84f8fbcf..00000000000 --- a/dir_000854_000114.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/enco/core/src -> coco Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    src → coco Relation

    File in compiler/enco/core/srcIncludes file in compiler/coco
    ANN / Binder.hcore / include / coco / IR.h
    Code.hgeneric / include / coco / IR / Data.h
    Code.hcore / include / coco / IR / Module.h
    CodeIndex.hcore / include / coco / IR / Block.h
    CodeIndex.hcore / include / coco / IR / Instr.h
    CppGen / Host.hcore / include / coco / IR.h
    coex / IR.hcore / include / coco / IR.h
    IRUtils.hcore / include / coco / IR.h
    CppGen / MemoryContext.hcore / include / coco / IR / Bag.h
    Usage.hcore / include / coco / IR.h
    Support / Debugging.hcore / include / coco / IR.h
    Transforms / AvgPoolLowering.cppcore / include / coco / IR / FeatureLayouts.h
    Transforms / DataLayoutConversion.cppcore / include / coco / IR / FeatureLayouts.h
    Transforms / DataLayoutConversion.cppcore / include / coco / IR / KernelLayouts.h
    Transforms / Split.cppcore / include / coco / IR.h
    -
    - - - - diff --git a/dir_000854_000480.html b/dir_000854_000480.html new file mode 100644 index 00000000000..ddd2950316e --- /dev/null +++ b/dir_000854_000480.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/embedded-import-value-test/src -> luci Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    src → luci Relation

    File in compiler/embedded-import-value-test/srcIncludes file in compiler/luci
    TestDriver.cpplang / include / luci / IR / DataTypeHelper.h
    TestDriver.cppimport / include / luci / Importer.h
    +
    + + + + diff --git a/dir_000852_000494.html b/dir_000854_000494.html similarity index 100% rename from dir_000852_000494.html rename to dir_000854_000494.html diff --git a/dir_000855_000114.html b/dir_000855_000114.html deleted file mode 100644 index e1a011a6024..00000000000 --- a/dir_000855_000114.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/enco/frontend/caffe/src -> coco Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    src → coco Relation

    File in compiler/enco/frontend/caffe/srcIncludes file in compiler/coco
    Layer / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    Context.hgeneric / include / coco / IR / Data.h
    Context.hcore / include / coco / IR.h
    Layer / Eltwise.cppcore / include / coco / IR / FeatureLayouts.h
    IRBuilder.hcore / include / coco / IR / Module.h
    Layer / Pooling.cppcore / include / coco / IR / FeatureLayouts.h
    Layer / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    Layer / Scale.cppcore / include / coco / IR / FeatureLayouts.h
    -
    - - - - diff --git a/dir_000853_000145.html b/dir_000855_000145.html similarity index 100% rename from dir_000853_000145.html rename to dir_000855_000145.html diff --git a/dir_000855_000212.html b/dir_000855_000212.html index a5dc12af424..ff8986d2b4b 100644 --- a/dir_000855_000212.html +++ b/dir_000855_000212.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/enco/frontend/caffe/src -> enco-intf Relation +ONE - On-device Neural Engine: compiler/enco/cli/src -> enco-intf Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → enco-intf Relation

    File in compiler/enco/frontend/caffe/srcIncludes file in compiler/enco-intf
    Entry.cppcmdline / include / cmdline / View.h
    Frontend.hfrontend / include / enco / Frontend.h
    +

    src → enco-intf Relation

    File in compiler/enco/cli/srcIncludes file in compiler/enco-intf
    Driver.cppfrontend / include / enco / Frontend.h
    Driver.cppcmdline / include / cmdline / View.h
    diff --git a/dir_000856_000027.html b/dir_000856_000027.html index 954b8b308c5..4dc1d821063 100644 --- a/dir_000856_000027.html +++ b/dir_000856_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/enco/frontend/tflite/src -> angkor Relation +ONE - On-device Neural Engine: compiler/enco/core/src -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → angkor Relation

    File in compiler/enco/frontend/tflite/srcIncludes file in compiler/angkor
    Op / Activation.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / AveragePool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Concatenation.cppinclude / nncc / core / ADT / tensor / Shape.h
    Context.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Convert.cppinclude / nncc / core / ADT / tensor / Shape.h
    Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    Op / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Div.cppinclude / nncc / core / ADT / tensor / Shape.h
    Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Padding.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Padding.hinclude / nncc / core / ADT / tensor / Shape.h
    Op / ReLU.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / ReLU6.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Sub.cppinclude / nncc / core / ADT / tensor / Shape.h
    +

    src → angkor Relation

    File in compiler/enco/core/srcIncludes file in compiler/angkor
    Dims.hinclude / nncc / core / ADT / tensor / Shape.h
    ANN / IR / Operand.hinclude / nncc / core / ADT / tensor / Shape.h
    ANN / IR / OperandInventory.hinclude / nncc / core / ADT / tensor / Shape.h
    Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / Shape.h
    Transforms / AvgPoolLowering.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    Transforms / ConcatLowering.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / Layout.h
    Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / Layout.h
    Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / feature / HWCLayout.h
    Transforms / DataLayoutConversion.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    Transforms / Split.cppinclude / nncc / core / ADT / kernel / NHWCLayout.h
    diff --git a/dir_000854_000029.html b/dir_000856_000029.html similarity index 100% rename from dir_000854_000029.html rename to dir_000856_000029.html diff --git a/dir_000856_000114.html b/dir_000856_000114.html index 659279f37bc..6eb84f8fbcf 100644 --- a/dir_000856_000114.html +++ b/dir_000856_000114.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/enco/frontend/tflite/src -> coco Relation +ONE - On-device Neural Engine: compiler/enco/core/src -> coco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → coco Relation

    File in compiler/enco/frontend/tflite/srcIncludes file in compiler/coco
    Op / Activation.cppcore / include / coco / IR / FeatureLayouts.h
    Op / Activation.cppcore / include / coco / IR / Module.h
    Op / Activation.hcore / include / coco / IR / Block.h
    Op / Activation.hcore / include / coco / IR / FeatureObject.h
    Op / AveragePool2D.cppcore / include / coco / IR / FeatureLayouts.h
    Op / AveragePool2D.cppcore / include / coco / IR / Module.h
    Op / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    Op / Concatenation.cppcore / include / coco / IR / Module.h
    Context.cppgeneric / include / coco / IR / Data.h
    Context.cppcore / include / coco / IR / Module.h
    Context.hgeneric / include / coco / IR / Data.h
    Context.hcore / include / coco / IR / Module.h
    Op / Conv2D.cppcore / include / coco / IR / FeatureLayouts.h
    Op / Conv2D.cppcore / include / coco / IR / KernelLayouts.h
    Op / Conv2D.cppcore / include / coco / IR / Module.h
    Op / DepthwiseConv2D.cppcore / include / coco / IR / FeatureLayouts.h
    Op / DepthwiseConv2D.cppcore / include / coco / IR / KernelLayouts.h
    Op / DepthwiseConv2D.cppcore / include / coco / IR / Module.h
    Op / Div.cppcore / include / coco / IR / FeatureLayouts.h
    Op / Div.cppcore / include / coco / IR / Module.h
    IRBuilder.hcore / include / coco / IR / Module.h
    Op / MaxPool2D.cppcore / include / coco / IR / FeatureLayouts.h
    Op / MaxPool2D.cppcore / include / coco / IR / Module.h
    Op / Padding.cppgeneric / include / coco / IR / Data.h
    Op / Padding.cppcore / include / coco / IR / Module.h
    Op / Padding.hcore / include / coco / IR / Padding2D.h
    Op / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    Op / ReLU.cppcore / include / coco / IR / Module.h
    Op / ReLU6.cppcore / include / coco / IR / FeatureLayouts.h
    Op / ReLU6.cppcore / include / coco / IR / Module.h
    Op / Reshape.cppcore / include / coco / IR / FeatureLayouts.h
    Op / Reshape.cppcore / include / coco / IR / Module.h
    Op / Sub.cppcore / include / coco / IR / FeatureLayouts.h
    Op / Sub.cppcore / include / coco / IR / Module.h
    TensorBags.hgeneric / include / coco / IR / Data.h
    TensorBags.hcore / include / coco / IR / Module.h
    +

    src → coco Relation

    File in compiler/enco/core/srcIncludes file in compiler/coco
    ANN / Binder.hcore / include / coco / IR.h
    Code.hgeneric / include / coco / IR / Data.h
    Code.hcore / include / coco / IR / Module.h
    CodeIndex.hcore / include / coco / IR / Block.h
    CodeIndex.hcore / include / coco / IR / Instr.h
    CppGen / Host.hcore / include / coco / IR.h
    coex / IR.hcore / include / coco / IR.h
    IRUtils.hcore / include / coco / IR.h
    CppGen / MemoryContext.hcore / include / coco / IR / Bag.h
    Usage.hcore / include / coco / IR.h
    Support / Debugging.hcore / include / coco / IR.h
    Transforms / AvgPoolLowering.cppcore / include / coco / IR / FeatureLayouts.h
    Transforms / DataLayoutConversion.cppcore / include / coco / IR / FeatureLayouts.h
    Transforms / DataLayoutConversion.cppcore / include / coco / IR / KernelLayouts.h
    Transforms / Split.cppcore / include / coco / IR.h
    diff --git a/dir_000854_000162.html b/dir_000856_000162.html similarity index 100% rename from dir_000854_000162.html rename to dir_000856_000162.html diff --git a/dir_000854_000302.html b/dir_000856_000302.html similarity index 100% rename from dir_000854_000302.html rename to dir_000856_000302.html diff --git a/dir_000854_000572.html b/dir_000856_000573.html similarity index 100% rename from dir_000854_000572.html rename to dir_000856_000573.html diff --git a/dir_000854_000740.html b/dir_000856_000741.html similarity index 100% rename from dir_000854_000740.html rename to dir_000856_000741.html diff --git a/dir_000854_001040.html b/dir_000856_001042.html similarity index 100% rename from dir_000854_001040.html rename to dir_000856_001042.html diff --git a/dir_000855_000027.html b/dir_000857_000027.html similarity index 100% rename from dir_000855_000027.html rename to dir_000857_000027.html diff --git a/dir_000857_000114.html b/dir_000857_000114.html index c72285394c7..e1a011a6024 100644 --- a/dir_000857_000114.html +++ b/dir_000857_000114.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/encodump/src -> coco Relation +ONE - On-device Neural Engine: compiler/enco/frontend/caffe/src -> coco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → coco Relation

    File in compiler/encodump/srcIncludes file in compiler/coco
    Dump.hcore / include / coco / IR.h
    +

    src → coco Relation

    File in compiler/enco/frontend/caffe/srcIncludes file in compiler/coco
    Layer / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    Context.hgeneric / include / coco / IR / Data.h
    Context.hcore / include / coco / IR.h
    Layer / Eltwise.cppcore / include / coco / IR / FeatureLayouts.h
    IRBuilder.hcore / include / coco / IR / Module.h
    Layer / Pooling.cppcore / include / coco / IR / FeatureLayouts.h
    Layer / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    Layer / Scale.cppcore / include / coco / IR / FeatureLayouts.h
    diff --git a/dir_000857_000212.html b/dir_000857_000212.html index 7889ebbf5bb..a5dc12af424 100644 --- a/dir_000857_000212.html +++ b/dir_000857_000212.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/encodump/src -> enco-intf Relation +ONE - On-device Neural Engine: compiler/enco/frontend/caffe/src -> enco-intf Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → enco-intf Relation

    File in compiler/encodump/srcIncludes file in compiler/enco-intf
    Driver.cppfrontend / include / enco / Frontend.h
    Driver.cppcmdline / include / cmdline / View.h
    +

    src → enco-intf Relation

    File in compiler/enco/frontend/caffe/srcIncludes file in compiler/enco-intf
    Entry.cppcmdline / include / cmdline / View.h
    Frontend.hfrontend / include / enco / Frontend.h
    diff --git a/dir_000855_000444.html b/dir_000857_000444.html similarity index 100% rename from dir_000855_000444.html rename to dir_000857_000444.html diff --git a/dir_000855_000572.html b/dir_000857_000573.html similarity index 100% rename from dir_000855_000572.html rename to dir_000857_000573.html diff --git a/dir_000858_000027.html b/dir_000858_000027.html index 6bd675981b0..cb4604111e9 100644 --- a/dir_000858_000027.html +++ b/dir_000858_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/exo/src -> angkor Relation +ONE - On-device Neural Engine: compiler/enco/frontend/tflite/src -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → angkor Relation

    File in compiler/exo/srcIncludes file in compiler/angkor
    Pass / FoldTransposeOfConstPass.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Pass / FoldTransposeOfConstPass.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    +

    src → angkor Relation

    File in compiler/enco/frontend/tflite/srcIncludes file in compiler/angkor
    Op / Activation.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / AveragePool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Concatenation.cppinclude / nncc / core / ADT / tensor / Shape.h
    Context.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Convert.cppinclude / nncc / core / ADT / tensor / Shape.h
    Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    Op / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Div.cppinclude / nncc / core / ADT / tensor / Shape.h
    Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Padding.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Padding.hinclude / nncc / core / ADT / tensor / Shape.h
    Op / ReLU.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / ReLU6.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    Op / Sub.cppinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_000858_000114.html b/dir_000858_000114.html new file mode 100644 index 00000000000..832a93d2d12 --- /dev/null +++ b/dir_000858_000114.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/enco/frontend/tflite/src -> coco Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    src → coco Relation

    File in compiler/enco/frontend/tflite/srcIncludes file in compiler/coco
    Op / Activation.cppcore / include / coco / IR / FeatureLayouts.h
    Op / Activation.cppcore / include / coco / IR / Module.h
    Op / Activation.hcore / include / coco / IR / Block.h
    Op / Activation.hcore / include / coco / IR / FeatureObject.h
    Op / AveragePool2D.cppcore / include / coco / IR / FeatureLayouts.h
    Op / AveragePool2D.cppcore / include / coco / IR / Module.h
    Op / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    Op / Concatenation.cppcore / include / coco / IR / Module.h
    Context.cppgeneric / include / coco / IR / Data.h
    Context.cppcore / include / coco / IR / Module.h
    Context.hgeneric / include / coco / IR / Data.h
    Context.hcore / include / coco / IR / Module.h
    Op / Conv2D.cppcore / include / coco / IR / FeatureLayouts.h
    Op / Conv2D.cppcore / include / coco / IR / KernelLayouts.h
    Op / Conv2D.cppcore / include / coco / IR / Module.h
    Op / DepthwiseConv2D.cppcore / include / coco / IR / FeatureLayouts.h
    Op / DepthwiseConv2D.cppcore / include / coco / IR / KernelLayouts.h
    Op / DepthwiseConv2D.cppcore / include / coco / IR / Module.h
    Op / Div.cppcore / include / coco / IR / FeatureLayouts.h
    Op / Div.cppcore / include / coco / IR / Module.h
    IRBuilder.hcore / include / coco / IR / Module.h
    Op / MaxPool2D.cppcore / include / coco / IR / FeatureLayouts.h
    Op / MaxPool2D.cppcore / include / coco / IR / Module.h
    Op / Padding.cppgeneric / include / coco / IR / Data.h
    Op / Padding.cppcore / include / coco / IR / Module.h
    Op / Padding.hcore / include / coco / IR / Padding2D.h
    Op / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    Op / ReLU.cppcore / include / coco / IR / Module.h
    Op / ReLU6.cppcore / include / coco / IR / FeatureLayouts.h
    Op / ReLU6.cppcore / include / coco / IR / Module.h
    Op / Reshape.cppcore / include / coco / IR / FeatureLayouts.h
    Op / Reshape.cppcore / include / coco / IR / Module.h
    Op / Sub.cppcore / include / coco / IR / FeatureLayouts.h
    Op / Sub.cppcore / include / coco / IR / Module.h
    TensorBags.hgeneric / include / coco / IR / Data.h
    TensorBags.hcore / include / coco / IR / Module.h
    +
    + + + + diff --git a/dir_000856_000167.html b/dir_000858_000167.html similarity index 100% rename from dir_000856_000167.html rename to dir_000858_000167.html diff --git a/dir_000856_000212.html b/dir_000858_000212.html similarity index 100% rename from dir_000856_000212.html rename to dir_000858_000212.html diff --git a/dir_000856_000572.html b/dir_000858_000573.html similarity index 60% rename from dir_000856_000572.html rename to dir_000858_000573.html index a05883536f5..bc4ea91f919 100644 --- a/dir_000856_000572.html +++ b/dir_000858_000573.html @@ -89,7 +89,7 @@
    -

    src → morph Relation

    File in compiler/enco/frontend/tflite/srcIncludes file in compiler/morph
    Op / AveragePool2D.cppinclude / morph / tflite.h
    Op / Conv2D.cppinclude / morph / tflite.h
    Op / DepthwiseConv2D.cppinclude / morph / tflite.h
    Op / Div.cppinclude / morph / tflite.h
    Op / MaxPool2D.cppinclude / morph / tflite.h
    Op / ReLU.cppinclude / morph / tflite.h
    Op / ReLU6.cppinclude / morph / tflite.h
    Op / Reshape.cppinclude / morph / tflite.h
    Op / Sub.cppinclude / morph / tflite.h
    +

    src → morph Relation

    File in compiler/enco/frontend/tflite/srcIncludes file in compiler/morph
    Op / AveragePool2D.cppinclude / morph / tflite.h
    Op / Conv2D.cppinclude / morph / tflite.h
    Op / DepthwiseConv2D.cppinclude / morph / tflite.h
    Op / Div.cppinclude / morph / tflite.h
    Op / MaxPool2D.cppinclude / morph / tflite.h
    Op / ReLU.cppinclude / morph / tflite.h
    Op / ReLU6.cppinclude / morph / tflite.h
    Op / Reshape.cppinclude / morph / tflite.h
    Op / Sub.cppinclude / morph / tflite.h
    @@ -89,12 +89,12 @@
    -

    src → enco-intf Relation

    File in compiler/enco/cli/srcIncludes file in compiler/enco-intf
    Driver.cppfrontend / include / enco / Frontend.h
    Driver.cppcmdline / include / cmdline / View.h
    +

    src → enco-intf Relation

    File in compiler/encodump/srcIncludes file in compiler/enco-intf
    Driver.cppfrontend / include / enco / Frontend.h
    Driver.cppcmdline / include / cmdline / View.h
    diff --git a/dir_000977_000027.html b/dir_000860_000027.html similarity index 66% rename from dir_000977_000027.html rename to dir_000860_000027.html index 213b2020792..6bd675981b0 100644 --- a/dir_000977_000027.html +++ b/dir_000860_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-onnxrt/support/include/nnkit/support -> angkor Relation +ONE - On-device Neural Engine: compiler/exo/src -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    support → angkor Relation

    File in compiler/nnkit-onnxrt/support/include/nnkit/supportIncludes file in compiler/angkor
    onnx / TensorContext.hinclude / nncc / core / ADT / tensor / LexicalLayout.h
    onnx / TensorContext.hinclude / nncc / core / ADT / tensor / Overlay.h
    +

    src → angkor Relation

    File in compiler/exo/srcIncludes file in compiler/angkor
    Pass / FoldTransposeOfConstPass.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Pass / FoldTransposeOfConstPass.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    diff --git a/dir_000858_000140.html b/dir_000860_000140.html similarity index 100% rename from dir_000858_000140.html rename to dir_000860_000140.html diff --git a/dir_000858_000179.html b/dir_000860_000179.html similarity index 100% rename from dir_000858_000179.html rename to dir_000860_000179.html diff --git a/dir_000858_000270.html b/dir_000860_000270.html similarity index 100% rename from dir_000858_000270.html rename to dir_000860_000270.html diff --git a/dir_000858_000272.html b/dir_000860_000272.html similarity index 100% rename from dir_000858_000272.html rename to dir_000860_000272.html diff --git a/dir_000858_000303.html b/dir_000860_000303.html similarity index 100% rename from dir_000858_000303.html rename to dir_000860_000303.html diff --git a/dir_000858_000455.html b/dir_000860_000455.html similarity index 100% rename from dir_000858_000455.html rename to dir_000860_000455.html diff --git a/dir_000858_000458.html b/dir_000860_000458.html similarity index 100% rename from dir_000858_000458.html rename to dir_000860_000458.html diff --git a/dir_000858_000461.html b/dir_000860_000461.html similarity index 100% rename from dir_000858_000461.html rename to dir_000860_000461.html diff --git a/dir_000858_000476.html b/dir_000860_000476.html similarity index 100% rename from dir_000858_000476.html rename to dir_000860_000476.html diff --git a/dir_000858_000478.html b/dir_000860_000478.html similarity index 100% rename from dir_000858_000478.html rename to dir_000860_000478.html diff --git a/dir_000858_000648.html b/dir_000860_000649.html similarity index 100% rename from dir_000858_000648.html rename to dir_000860_000649.html diff --git a/dir_000858_000656.html b/dir_000860_000657.html similarity index 100% rename from dir_000858_000656.html rename to dir_000860_000657.html diff --git a/dir_000858_000706.html b/dir_000860_000707.html similarity index 100% rename from dir_000858_000706.html rename to dir_000860_000707.html diff --git a/dir_000858_000733.html b/dir_000860_000734.html similarity index 100% rename from dir_000858_000733.html rename to dir_000860_000734.html diff --git a/dir_000858_000734.html b/dir_000860_000735.html similarity index 100% rename from dir_000858_000734.html rename to dir_000860_000735.html diff --git a/dir_000859_000306.html b/dir_000861_000306.html similarity index 100% rename from dir_000859_000306.html rename to dir_000861_000306.html diff --git a/dir_000859_000734.html b/dir_000861_000735.html similarity index 100% rename from dir_000859_000734.html rename to dir_000861_000735.html diff --git a/dir_000860_000307.html b/dir_000862_000307.html similarity index 100% rename from dir_000860_000307.html rename to dir_000862_000307.html diff --git a/dir_000861_000027.html b/dir_000863_000027.html similarity index 100% rename from dir_000861_000027.html rename to dir_000863_000027.html diff --git a/dir_000862_000308.html b/dir_000864_000308.html similarity index 100% rename from dir_000862_000308.html rename to dir_000864_000308.html diff --git a/dir_000863_000309.html b/dir_000865_000309.html similarity index 100% rename from dir_000863_000309.html rename to dir_000865_000309.html diff --git a/dir_000864_000310.html b/dir_000866_000310.html similarity index 100% rename from dir_000864_000310.html rename to dir_000866_000310.html diff --git a/dir_000866_000455.html b/dir_000866_000455.html index f8d48cd42e9..fa88ad2afa8 100644 --- a/dir_000866_000455.html +++ b/dir_000866_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/locop/src -> loco Relation +ONE - On-device Neural Engine: compiler/locoex-customop/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    src → loco Relation

    File in compiler/locoex-customop/srcIncludes file in compiler/loco
    Service / COpShapeInferenceRule.cppinclude / loco / Service / ShapeInference.h
    diff --git a/dir_000864_000733.html b/dir_000866_000734.html similarity index 100% rename from dir_000864_000733.html rename to dir_000866_000734.html diff --git a/dir_000865_000027.html b/dir_000867_000027.html similarity index 54% rename from dir_000865_000027.html rename to dir_000867_000027.html index 1579ab55e9f..15a34db143c 100644 --- a/dir_000865_000027.html +++ b/dir_000867_000027.html @@ -89,7 +89,7 @@
    -

    src → angkor Relation

    File in compiler/locomotiv/srcIncludes file in compiler/angkor
    Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / ConstGen.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / ConstGen.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / ConstGen.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / ConstGen.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / Conv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / Conv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / Conv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / Conv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / DepthwiseFilterEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / DepthwiseFilterEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / FeatureDecode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / FeatureDecode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / FeatureEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / FeatureEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / FilterEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / FilterEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / MatMul.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / MatMul.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / MatMul.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / MatMul.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / MatMul.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / MatrixDecode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / MatrixDecode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / MatrixEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / MatrixEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    NodeExecution.cppinclude / nncc / core / ADT / tensor / Buffer.h
    NodeExecution.cppinclude / nncc / core / ADT / tensor / Index.h
    NodeExecution.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    NodeExecution.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    NodeExecution.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / Reshape.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / Reshape.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / Reshape.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / Reshape.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / Softmax.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / Softmax.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / Softmax.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / Softmax.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / Softmax.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / TensorConstantPad.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / TensorConstantPad.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    +

    src → angkor Relation

    File in compiler/locomotiv/srcIncludes file in compiler/angkor
    Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / AvgPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / BiasAdd.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / ConstGen.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / ConstGen.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / ConstGen.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / ConstGen.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / Conv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / Conv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / Conv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / Conv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / DepthwiseFilterEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / DepthwiseFilterEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / FeatureDecode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / FeatureDecode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / FeatureEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / FeatureEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / FilterEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / FilterEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / MatMul.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / MatMul.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / MatMul.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / MatMul.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / MatMul.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / MatrixDecode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / MatrixDecode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / MatrixEncode.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / MatrixEncode.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    NodeExecution.cppinclude / nncc / core / ADT / tensor / Buffer.h
    NodeExecution.cppinclude / nncc / core / ADT / tensor / Index.h
    NodeExecution.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    NodeExecution.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    NodeExecution.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / Reshape.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / Reshape.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / Reshape.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / Reshape.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / Softmax.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / Softmax.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / Softmax.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / Softmax.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / Softmax.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / TensorBroadcast.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / TensorConcat.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / TensorConstantPad.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / TensorConstantPad.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / TensorReduce.cppinclude / nncc / core / ADT / tensor / Shape.h
    Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Index.h
    Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / IndexEnumerator.h
    Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    Node / TransposedConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/logo-ex/srcIncludes file in compiler/loco
    Passes / ConstantFoldingPass.cppinclude / loco / IR / CanonicalDialect.h
    Passes / ConstantFoldingPass.cppinclude / loco.h
    TestHelper.hinclude / loco.h
    +

    src → loco Relation

    File in compiler/locop/srcIncludes file in compiler/loco
    CanonicalNodeSummaryBuilder.cppinclude / loco / IR / CanonicalDialect.h
    CanonicalNodeSummaryBuilder.cppinclude / loco / IR / CanonicalNodeImpl.h
    CanonicalNodeSummaryBuilder.cppinclude / loco / IR / CanonicalNodeVisitor.h
    CanonicalNodeSummaryBuilder.cppinclude / loco / IR / CanonicalOpcode.h
    ExampleGraph.hinclude / loco.h
    FormattedGraph.cppinclude / loco / Service / ShapeInference.h
    FormattedGraph.cppinclude / loco / Service / TypeInference.h
    diff --git a/dir_000866_000740.html b/dir_000868_000741.html similarity index 100% rename from dir_000866_000740.html rename to dir_000868_000741.html diff --git a/dir_000867_000313.html b/dir_000869_000313.html similarity index 100% rename from dir_000867_000313.html rename to dir_000869_000313.html diff --git a/dir_000868_000314.html b/dir_000870_000314.html similarity index 100% rename from dir_000868_000314.html rename to dir_000870_000314.html diff --git a/dir_000870_000455.html b/dir_000870_000455.html index 275b29abcc3..8b774a1efc7 100644 --- a/dir_000870_000455.html +++ b/dir_000870_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci-compute/src -> loco Relation +ONE - On-device Neural Engine: compiler/logo-ex/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/luci-compute/srcIncludes file in compiler/loco
    ConvertTypes.hinclude / loco / IR / TensorShape.h
    +

    src → loco Relation

    File in compiler/logo-ex/srcIncludes file in compiler/loco
    Passes / ConstantFoldingPass.cppinclude / loco / IR / CanonicalDialect.h
    Passes / ConstantFoldingPass.cppinclude / loco.h
    TestHelper.hinclude / loco.h
    diff --git a/dir_000868_000459.html b/dir_000870_000459.html similarity index 100% rename from dir_000868_000459.html rename to dir_000870_000459.html diff --git a/dir_000869_000315.html b/dir_000871_000315.html similarity index 100% rename from dir_000869_000315.html rename to dir_000871_000315.html diff --git a/dir_000869_000455.html b/dir_000871_000455.html similarity index 100% rename from dir_000869_000455.html rename to dir_000871_000455.html diff --git a/dir_000870_000316.html b/dir_000872_000316.html similarity index 100% rename from dir_000870_000316.html rename to dir_000872_000316.html diff --git a/dir_000872_000455.html b/dir_000872_000455.html index a63d5786f13..275b29abcc3 100644 --- a/dir_000872_000455.html +++ b/dir_000872_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci-interpreter/src -> loco Relation +ONE - On-device Neural Engine: compiler/luci-compute/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/luci-interpreter/srcIncludes file in compiler/loco
    loader / GraphLoader.cppinclude / loco / IR / Algorithm.h
    loader / GraphLoader.hinclude / loco / IR / Graph.h
    loader / KernelBuilderHelper.hinclude / loco / IR / Graph.h
    loader / KernelBuilderHelper.hinclude / loco / IR / Node.h
    +

    src → loco Relation

    File in compiler/luci-compute/srcIncludes file in compiler/loco
    ConvertTypes.hinclude / loco / IR / TensorShape.h
    diff --git a/dir_000871_000480.html b/dir_000873_000480.html similarity index 100% rename from dir_000871_000480.html rename to dir_000873_000480.html diff --git a/dir_000872_000317.html b/dir_000874_000317.html similarity index 100% rename from dir_000872_000317.html rename to dir_000874_000317.html diff --git a/dir_000872_000450.html b/dir_000874_000450.html similarity index 100% rename from dir_000872_000450.html rename to dir_000874_000450.html diff --git a/dir_000874_000455.html b/dir_000874_000455.html index abd2a7582be..a63d5786f13 100644 --- a/dir_000874_000455.html +++ b/dir_000874_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/export/src -> loco Relation +ONE - On-device Neural Engine: compiler/luci-interpreter/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    src → loco Relation

    File in compiler/luci-interpreter/srcIncludes file in compiler/loco
    loader / GraphLoader.cppinclude / loco / IR / Algorithm.h
    loader / GraphLoader.hinclude / loco / IR / Graph.h
    loader / KernelBuilderHelper.hinclude / loco / IR / Graph.h
    loader / KernelBuilderHelper.hinclude / loco / IR / Node.h
    diff --git a/dir_000872_000480.html b/dir_000874_000480.html similarity index 53% rename from dir_000872_000480.html rename to dir_000874_000480.html index 93fb2315e5f..d05b57dcad5 100644 --- a/dir_000872_000480.html +++ b/dir_000874_000480.html @@ -89,7 +89,7 @@
    -

    src → luci Relation

    File in compiler/luci-interpreter/srcIncludes file in compiler/luci
    loader / nodes / AveragePool2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / nodes / BatchMatMul.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / nodes / Builders.hlang / include / luci / IR / CircleNodes.h
    import / Nodes / CircleReferencingConst.hlang / include / luci / IR / Nodes / CircleConst.h
    import / Nodes / CircleReferencingConst.himport / include / luci / Import / NodeBuilder.h
    loader / nodes / Conv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / nodes / DepthwiseConv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / GraphLoader.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / KernelBuilder.cpplang / include / luci / IR / CircleNodeDecl.h
    loader / KernelBuilder.cpplang / include / luci / IR / CircleOpcode.h
    loader / KernelBuilder.hlang / include / luci / IR / CircleNodeVisitor.h
    loader / KernelBuilderHelper.cpplang / include / luci / IR / Nodes / CircleOutput.h
    core / KernelParams.hlang / include / luci / IR / AttrFusedActFunc.h
    core / KernelParams.hlang / include / luci / IR / AttrMirrorPadMode.h
    core / KernelParams.hlang / include / luci / IR / AttrPadding.h
    loader / ModuleLoader.hlang / include / luci / IR / Module.h
    loader / RuntimeToIR.hlang / include / luci / IR / CircleNode.h
    +

    src → luci Relation

    File in compiler/luci-interpreter/srcIncludes file in compiler/luci
    loader / nodes / AveragePool2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / nodes / BatchMatMul.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / nodes / Builders.hlang / include / luci / IR / CircleNodes.h
    import / Nodes / CircleReferencingConst.hlang / include / luci / IR / Nodes / CircleConst.h
    import / Nodes / CircleReferencingConst.himport / include / luci / Import / NodeBuilder.h
    loader / nodes / Conv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / nodes / DepthwiseConv2D.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / GraphLoader.cppplan / include / luci / Plan / CircleNodeExecutionPlan.h
    loader / KernelBuilder.cpplang / include / luci / IR / CircleNodeDecl.h
    loader / KernelBuilder.cpplang / include / luci / IR / CircleOpcode.h
    loader / KernelBuilder.hlang / include / luci / IR / CircleNodeVisitor.h
    loader / KernelBuilderHelper.cpplang / include / luci / IR / Nodes / CircleOutput.h
    core / KernelParams.hlang / include / luci / IR / AttrFusedActFunc.h
    core / KernelParams.hlang / include / luci / IR / AttrMirrorPadMode.h
    core / KernelParams.hlang / include / luci / IR / AttrPadding.h
    loader / ModuleLoader.hlang / include / luci / IR / Module.h
    loader / RuntimeToIR.hlang / include / luci / IR / CircleNode.h
    +

    src → pal Relation

    File in compiler/luci-interpreter/srcIncludes file in compiler/luci-interpreter/pal
    kernels / BatchMatMul.cpplinux / PALBatchMatMul.h
    kernels / Gather.cpplinux / PALGather.h
    kernels / Gelu.cpplinux / PALGelu.h
    kernels / HardSwish.cpplinux / PALHardSwish.h
    kernels / LocalResponseNormalization.cpplinux / PALLocalResponseNormalization.h
    kernels / Relu.cpplinux / PALRelu.h
    kernels / Relu6.cpplinux / PALRelu6.h
    kernels / Slice.cpplinux / PALSlice.h
    kernels / Split.cpplinux / PALSplit.h
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/luci/lang/srcIncludes file in compiler/loco
    CircleDialect.cppinclude / loco / IR / Graph.h
    CircleDialect.cppinclude / loco / IR / GraphInputIndex.h
    CircleDialect.cppinclude / loco / IR / GraphOutputIndex.h
    CircleNodes.cppinclude / loco.h
    DeadNodeQueryService.cppinclude / loco / IR / Graph.h
    +

    src → loco Relation

    File in compiler/luci/export/srcIncludes file in compiler/loco
    CircleExporterImpl.hinclude / loco.h
    CircleExporterUtils.hinclude / loco.h
    CircleOperationExporter.cppinclude / loco / IR / Algorithm.h
    CircleOperationExporter.hinclude / loco / IR / Graph.h
    CircleOperationExporterRule.cppinclude / loco / IR / Graph.h
    CircleTensorExporter.cppinclude / loco / IR / Algorithm.h
    CircleTensorExporter.cppinclude / loco / IR / CanonicalNode.h
    CircleTensorExporter.cppinclude / loco / IR / CanonicalNodeVisitor.h
    CircleTensorExporter.cppinclude / loco / IR / DataTypeTraits.h
    CircleTensorExporter.hinclude / loco / IR / Graph.h
    Optimize.hinclude / loco.h
    ProgressReporter.hinclude / loco.h
    diff --git a/dir_000874_000464.html b/dir_000876_000464.html similarity index 100% rename from dir_000874_000464.html rename to dir_000876_000464.html diff --git a/dir_000874_000468.html b/dir_000876_000468.html similarity index 100% rename from dir_000874_000468.html rename to dir_000876_000468.html diff --git a/dir_000874_000478.html b/dir_000876_000478.html similarity index 100% rename from dir_000874_000478.html rename to dir_000876_000478.html diff --git a/dir_000874_000648.html b/dir_000876_000649.html similarity index 100% rename from dir_000874_000648.html rename to dir_000876_000649.html diff --git a/dir_000874_000656.html b/dir_000876_000657.html similarity index 100% rename from dir_000874_000656.html rename to dir_000876_000657.html diff --git a/dir_000874_000707.html b/dir_000876_000708.html similarity index 100% rename from dir_000874_000707.html rename to dir_000876_000708.html diff --git a/dir_000874_000735.html b/dir_000876_000736.html similarity index 100% rename from dir_000874_000735.html rename to dir_000876_000736.html diff --git a/dir_000874_000744.html b/dir_000876_000745.html similarity index 100% rename from dir_000874_000744.html rename to dir_000876_000745.html diff --git a/dir_000874_000797.html b/dir_000876_000798.html similarity index 100% rename from dir_000874_000797.html rename to dir_000876_000798.html diff --git a/dir_000877_000214.html b/dir_000877_000214.html index 85f5d620627..f8d835e0168 100644 --- a/dir_000877_000214.html +++ b/dir_000877_000214.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/log/src -> env Relation +ONE - On-device Neural Engine: compiler/luci/import/src -> env Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → env Relation

    File in compiler/luci/log/srcIncludes file in compiler/luci/env
    Log.cppinclude / luci / UserSettings.h
    +

    src → env Relation

    File in compiler/luci/import/srcIncludes file in compiler/luci/env
    Nodes / CircleCast.cppinclude / luci / UserSettings.h
    Nodes / CircleGreater.cppinclude / luci / UserSettings.h
    Nodes / CircleUnpack.cppinclude / luci / UserSettings.h
    diff --git a/dir_000875_000244.html b/dir_000877_000244.html similarity index 100% rename from dir_000875_000244.html rename to dir_000877_000244.html diff --git a/dir_000875_000320.html b/dir_000877_000320.html similarity index 100% rename from dir_000875_000320.html rename to dir_000877_000320.html diff --git a/dir_000875_000442.html b/dir_000877_000442.html similarity index 100% rename from dir_000875_000442.html rename to dir_000877_000442.html diff --git a/dir_000875_000455.html b/dir_000877_000455.html similarity index 100% rename from dir_000875_000455.html rename to dir_000877_000455.html diff --git a/dir_000875_000464.html b/dir_000877_000464.html similarity index 100% rename from dir_000875_000464.html rename to dir_000877_000464.html diff --git a/dir_000875_000468.html b/dir_000877_000468.html similarity index 100% rename from dir_000875_000468.html rename to dir_000877_000468.html diff --git a/dir_000875_000656.html b/dir_000877_000657.html similarity index 100% rename from dir_000875_000656.html rename to dir_000877_000657.html diff --git a/dir_000875_000735.html b/dir_000877_000736.html similarity index 100% rename from dir_000875_000735.html rename to dir_000877_000736.html diff --git a/dir_000875_000744.html b/dir_000877_000745.html similarity index 100% rename from dir_000875_000744.html rename to dir_000877_000745.html diff --git a/dir_000876_000321.html b/dir_000878_000321.html similarity index 100% rename from dir_000876_000321.html rename to dir_000878_000321.html diff --git a/dir_000878_000442.html b/dir_000878_000442.html deleted file mode 100644 index 81f3824b876..00000000000 --- a/dir_000878_000442.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/luci/logex/src -> lang Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - - -
    - - - - diff --git a/dir_000878_000455.html b/dir_000878_000455.html index b6abbace054..881cfbb30a8 100644 --- a/dir_000878_000455.html +++ b/dir_000878_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/logex/src -> loco Relation +ONE - On-device Neural Engine: compiler/luci/lang/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/luci/logex/srcIncludes file in compiler/loco
    CircleNodeSummaryBuilders.cppinclude / loco / IR / Node.h
    +

    src → loco Relation

    File in compiler/luci/lang/srcIncludes file in compiler/loco
    CircleDialect.cppinclude / loco / IR / Graph.h
    CircleDialect.cppinclude / loco / IR / GraphInputIndex.h
    CircleDialect.cppinclude / loco / IR / GraphOutputIndex.h
    CircleNodes.cppinclude / loco.h
    DeadNodeQueryService.cppinclude / loco / IR / Graph.h
    diff --git a/dir_000879_000214.html b/dir_000879_000214.html new file mode 100644 index 00000000000..85f5d620627 --- /dev/null +++ b/dir_000879_000214.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/luci/log/src -> env Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    src → env Relation

    File in compiler/luci/log/srcIncludes file in compiler/luci/env
    Log.cppinclude / luci / UserSettings.h
    +
    + + + + diff --git a/dir_000877_000272.html b/dir_000879_000272.html similarity index 100% rename from dir_000877_000272.html rename to dir_000879_000272.html diff --git a/dir_000877_000322.html b/dir_000879_000322.html similarity index 100% rename from dir_000877_000322.html rename to dir_000879_000322.html diff --git a/dir_000878_000323.html b/dir_000880_000323.html similarity index 100% rename from dir_000878_000323.html rename to dir_000880_000323.html diff --git a/dir_000880_000442.html b/dir_000880_000442.html index 2a81a5245ab..81f3824b876 100644 --- a/dir_000880_000442.html +++ b/dir_000880_000442.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/pass/src -> lang Relation +ONE - On-device Neural Engine: compiler/luci/logex/src -> lang Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → lang Relation

    File in compiler/luci/pass/srcIncludes file in compiler/luci/lang
    BatchNormPatternFinder.cppinclude / luci / IR / CircleNodes.h
    BatchNormPatternFinder.hinclude / luci / IR / CircleNodes.h
    CircleOptimizer.cppinclude / luci / IR / CircleNodes.h
    CircleQuantizer.cppinclude / luci / IR / CircleNode.h
    CommonSubExpressionEliminationPass.cppinclude / luci / IR / CircleNodes.h
    helpers / Compute.hinclude / luci / IR / CircleNodes.h
    ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodes.h
    ConvertNCHWToNHWCPass.cppinclude / luci / IR / CircleNodeVisitor.h
    ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodes.h
    ConvertToFakeQuantizedModelPass.cppinclude / luci / IR / CircleNodeVisitor.h
    CopyQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    helpers / CreateCircleConst.hinclude / luci / IR / CircleNodes.h
    DecomposeHardSwishPass.cppinclude / luci / IR / CircleNodes.h
    DecomposeSoftmaxPass.cppinclude / luci / IR / CircleNodes.h
    DynamicBatchToSingleBatchPass.cppinclude / luci / IR / CircleNode.h
    ExpandBroadcastConstPass.cppinclude / luci / IR / CircleNodes.h
    helpers / ExpressionCache.hinclude / luci / IR / CircleNodes.h
    FoldAddV2Pass.cppinclude / luci / IR / CircleNodes.h
    FoldCastPass.cppinclude / luci / IR / CircleNodes.h
    FoldDensifyPass.cppinclude / luci / IR / CircleNodes.h
    FoldDepthwiseConv2DPass.cppinclude / luci / IR / AttrFusedActFunc.h
    FoldDepthwiseConv2DPass.cppinclude / luci / IR / CircleNodes.h
    FoldDequantizePass.cppinclude / luci / IR / CircleNodes.h
    FoldFullyConnectedPass.cppinclude / luci / IR / AttrFusedActFunc.h
    FoldFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    FoldGatherPass.cppinclude / luci / IR / CircleNodes.h
    FoldShapePass.cppinclude / luci / IR / CircleNodes.h
    FoldSparseToDensePass.cppinclude / luci / IR / CircleNodes.h
    ForceQuantParamPass.cppinclude / luci / IR / CircleNodes.h
    ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodes.h
    ForwardReshapeToUnaryOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodes.h
    ForwardTransposeOpPass.cppinclude / luci / IR / CircleNodeVisitor.h
    FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodeMixins.h
    FuseActivationFunctionPass.cppinclude / luci / IR / CircleNodes.h
    FuseActivationFunctionPass.cppinclude / luci / IR / CircleOpcode.h
    FuseAddWithConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseAddWithFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    FuseAddWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseBatchNormWithConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseBatchNormWithDwConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseBatchNormWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseBCQPass.cppinclude / luci / IR / CircleNodes.h
    FuseGeluPass.cppinclude / luci / IR / CircleNodes.h
    FuseHorizontalFullyConnectedPass.cppinclude / luci / IR / CircleNodes.h
    FuseInstanceNormPass.cppinclude / luci / IR / CircleNodes.h
    FuseInstanceNormPassInternal.hinclude / luci / IR / CircleNodes.h
    FuseMeanWithMeanPass.cppinclude / luci / IR / CircleNode.h
    FuseMulWithConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseMulWithDivPass.cppinclude / luci / IR / CircleNodes.h
    FusePreActivationBatchNormPass.cppinclude / luci / IR / CircleNodes.h
    FusePreActivationBatchNormPassInternal.hinclude / luci / IR / CircleNodes.h
    FusePReluPass.cppinclude / luci / IR / CircleNodes.h
    FuseSliceWithTConvPass.cppinclude / luci / IR / CircleNodes.h
    FuseTransposeWithMeanPass.cppinclude / luci / IR / CircleNode.h
    helpers / InferenceCandidates.cppinclude / luci / IR / DeadNodeQueryService.h
    helpers / LayerInfoMap.cppinclude / luci / IR / CircleNode.h
    MakeBatchNormGammaPositivePass.cppinclude / luci / IR / CircleNodes.h
    PassTestGraphs.hinclude / luci / IR / CircleNodes.h
    ProgressReporter.hinclude / luci / IR / Module.h
    PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodes.h
    PropagateQParamBackwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodes.h
    PropagateQParamForwardPass.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizationUtils.hinclude / luci / IR / CircleNodes.h
    QuantizeActivation.hinclude / luci / IR / CircleNodeVisitor.h
    QuantizeBias.hinclude / luci / IR / CircleNodeVisitor.h
    QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodes.h
    QuantizeDequantizeWeightsPass.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizedModelVerifier.cppinclude / luci / IR / CircleNodes.h
    QuantizedModelVerifier.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizeOnnxDequantizeLinearPass.cppinclude / luci / IR / CircleNodes.h
    QuantizeOnnxFakeQuantModelPass.cppinclude / luci / IR / CircleNodes.h
    QuantizeOnnxQDQPass.cppinclude / luci / IR / CircleNodes.h
    QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodes.h
    QuantizePreCheckerPass.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizeWeights.hinclude / luci / IR / CircleNodeVisitor.h
    QuantizeWeightsOnly.hinclude / luci / IR / CircleNodeVisitor.h
    QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodes.h
    QuantizeWithMinMaxPass.cppinclude / luci / IR / CircleNodeVisitor.h
    QuantizeWithPredecessorPass.cppinclude / luci / IR / CircleNodes.h
    QuantizeWithPredecessorPass.cppinclude / luci / IR / CircleNodeVisitor.h
    RemoveFakeQuantPass.cppinclude / luci / IR / CircleNodes.h
    RemoveGatherGuardPass.cppinclude / luci / IR / CircleNodes.h
    RemoveQuantDequantSeqPass.cppinclude / luci / IR / CircleNodes.h
    RemoveRedundantDequantizePass.cppinclude / luci / IR / CircleNodes.h
    RemoveRedundantQuantizePass.cppinclude / luci / IR / CircleNode.h
    RemoveRedundantReshape.cppinclude / luci / IR / CircleNodes.h
    RemoveRedundantTransposePass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryAddPass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryReshapeNetPass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryReshapePass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessarySlicePass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessarySplitPass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryStridedSlicePass.cppinclude / luci / IR / CircleNodes.h
    RemoveUnnecessaryTransposeNetPass.cppinclude / luci / IR / CircleNodes.h
    ReplaceMulAddWithDepthwiseConvPass.cppinclude / luci / IR / CircleNodes.h
    ReplaceNonConstFCWithBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    ReplaceSubWithAddPass.cppinclude / luci / IR / CircleNodes.h
    ReplaceWithFCGeluFCPass.cppinclude / luci / IR / CircleNodes.h
    RequantizePass.cppinclude / luci / IR / CircleNodes.h
    RequantizePass.cppinclude / luci / IR / CircleNodeVisitor.h
    ResolveCustomOpAddPass.cppinclude / luci / IR / AttrFusedActFunc.h
    ResolveCustomOpAddPass.cppinclude / luci / IR / CircleNodes.h
    ResolveCustomOpBatchMatMulPass.cppinclude / luci / IR / CircleNodes.h
    ResolveCustomOpMatMulPass.cppinclude / luci / IR / CircleNodes.h
    ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / luci / IR / CircleNodes.h
    ResolveCustomOpSplitVPass.cppinclude / luci / IR / CircleNodes.h
    ResolveFormerCustomOpPass.cppinclude / luci / IR / AttrFusedActFunc.h
    ResolveFormerCustomOpPass.cppinclude / luci / IR / CircleNodes.h
    helpers / Shape.hinclude / luci / IR / CircleNodes.h
    ShuffleWeightTo16x1Float32Pass.cppinclude / luci / IR / CircleNodes.h
    Sparsifier.hinclude / luci / IR / SparsityParam.h
    SparsifyTensorPass.cppinclude / luci / IR / CircleNodes.h
    helpers / SparsityFormatConverter.cppinclude / luci / IR / SparsityParam.h
    helpers / SparsityFormatConverter.hinclude / luci / IR / SparsityParam.h
    SubstitutePackToReshapePass.cppinclude / luci / IR / CircleNodes.h
    SubstitutePadV2ToPadPass.cppinclude / luci / IR / CircleNodes.h
    SubstituteSplitVToSplitPass.cppinclude / luci / IR / CircleNodes.h
    SubstituteSqueezeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    SubstituteStridedSliceToReshapePass.cppinclude / luci / IR / CircleNodes.h
    SubstituteTransposeToReshapePass.cppinclude / luci / IR / CircleNodes.h
    TransformMinMaxToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    TransformMinReluToRelu6Pass.cppinclude / luci / IR / CircleNodes.h
    UnrollUnidirectionalSequenceLSTMPass.cppinclude / luci / IR / CircleNodes.h
    VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodes.h
    VerifyQuantizedBiasScale.hinclude / luci / IR / CircleNodeVisitor.h
    VerifyQuantizedNodeGranularity.cppinclude / luci / IR / CircleNodes.h
    VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodes.h
    VerifyQuantizedNodeGranularity.hinclude / luci / IR / CircleNodeVisitor.h
    VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodes.h
    VerifyQuantizedNodeType.hinclude / luci / IR / CircleNodeVisitor.h
    XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodeMixins.h
    XpSepActFromTransposeConvPass.cppinclude / luci / IR / CircleNodes.h
    +

    src → lang Relation

    File in compiler/luci/logex/srcIncludes file in compiler/luci/lang
    CircleNodeSummaryBuilder.cppinclude / luci / IR / CircleDialect.h
    CircleNodeSummaryBuilder.hinclude / luci / IR / CircleNode.h
    CircleNodeSummaryBuilders.cppinclude / luci / IR / CircleNode.h
    CircleNodeSummaryBuilders.cppinclude / luci / IR / CircleNodes.h
    CircleNodeSummaryBuilders.hinclude / luci / IR / CircleNode.h
    FormattedGraph.cppinclude / luci / IR / CircleDialect.h
    FormattedGraph.cppinclude / luci / IR / CircleNodes.h
    diff --git a/dir_000880_000455.html b/dir_000880_000455.html index 52f42b69c0d..b6abbace054 100644 --- a/dir_000880_000455.html +++ b/dir_000880_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/pass/src -> loco Relation +ONE - On-device Neural Engine: compiler/luci/logex/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    src → loco Relation

    File in compiler/luci/logex/srcIncludes file in compiler/loco
    CircleNodeSummaryBuilders.cppinclude / loco / IR / Node.h
    diff --git a/dir_000878_000461.html b/dir_000880_000461.html similarity index 100% rename from dir_000878_000461.html rename to dir_000880_000461.html diff --git a/dir_000878_000733.html b/dir_000880_000734.html similarity index 100% rename from dir_000878_000733.html rename to dir_000880_000734.html diff --git a/dir_000879_000324.html b/dir_000881_000324.html similarity index 100% rename from dir_000879_000324.html rename to dir_000881_000324.html diff --git a/dir_000879_000442.html b/dir_000881_000442.html similarity index 68% rename from dir_000879_000442.html rename to dir_000881_000442.html index 5cd913a18b8..d2ce8f934e6 100644 --- a/dir_000879_000442.html +++ b/dir_000881_000442.html @@ -89,7 +89,7 @@ +

    src → lang Relation

    File in compiler/luci/partition/srcIncludes file in compiler/luci/lang
    CircleOpCode.cppinclude / luci / IR / CircleNodes.h
    CircleOpCode.cppinclude / luci / IR / CircleNodeVisitor.h
    CircleOpCode.hinclude / luci / IR / CircleNode.h
    PartitionCleanup.hinclude / luci / IR / Module.h
    PartitionIR.hinclude / luci / IR / CircleNodes.h
    PartitionPGroups.cppinclude / luci / IR / CircleNodes.h
    PartitionPGroups.cppinclude / luci / IR / CircleNodeVisitor.h
    PartitionPGroups.hinclude / luci / IR / Module.h
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/luci/plan/srcIncludes file in compiler/loco
    CircleNodeExecutionPlan.cppinclude / loco.h
    +

    src → loco Relation

    File in compiler/luci/partition/srcIncludes file in compiler/loco
    PartitionPGroups.cppinclude / loco.h
    PartitionPModules.cppinclude / loco.h
    diff --git a/dir_000879_000464.html b/dir_000881_000464.html similarity index 100% rename from dir_000879_000464.html rename to dir_000881_000464.html diff --git a/dir_000879_000468.html b/dir_000881_000468.html similarity index 100% rename from dir_000879_000468.html rename to dir_000881_000468.html diff --git a/dir_000879_000656.html b/dir_000881_000657.html similarity index 100% rename from dir_000879_000656.html rename to dir_000881_000657.html diff --git a/dir_000879_000731.html b/dir_000881_000732.html similarity index 100% rename from dir_000879_000731.html rename to dir_000881_000732.html diff --git a/dir_000879_000797.html b/dir_000881_000798.html similarity index 100% rename from dir_000879_000797.html rename to dir_000881_000798.html diff --git a/dir_000880_000267.html b/dir_000882_000267.html similarity index 79% rename from dir_000880_000267.html rename to dir_000882_000267.html index 445aa9426dc..1e9b2bc46cd 100644 --- a/dir_000880_000267.html +++ b/dir_000882_000267.html @@ -89,7 +89,7 @@ +

    src → helpers Relation

    File in compiler/luci/pass/srcIncludes file in compiler/luci/pass/src/helpers
    CircleQuantizer.cppStrings.h
    CircleShapeInferencePass.cppInferenceCandidates.h
    CircleShapeInferencePass.cppShape.h
    CircleTypeInferencePass.cppInferenceCandidates.h
    CommonSubExpressionEliminationPass.cppExpressionCache.h
    ConvertNCHWToNHWCPass.cppShape.h
    FoldDensifyPass.cppSparsityFormatConverter.h
    FoldDepthwiseConv2DPass.cppCompute.h
    FoldDepthwiseConv2DPass.cppShape.h
    FoldFullyConnectedPass.cppCompute.h
    FoldFullyConnectedPass.cppShape.h
    ForwardReshapeToUnaryOpPass.cppNodeFiller.h
    FuseAddWithConvPass.cppNodeFiller.h
    FuseBatchNormWithDwConvPass.cppNodeFiller.h
    FuseBatchNormWithTConvPass.cppNodeFiller.h
    FuseGeluPass.cppNodeFiller.h
    FuseInstanceNormPass.cppNodeFiller.h
    FuseMulWithConvPass.cppNodeFiller.h
    FuseMulWithDivPass.cppNodeFiller.h
    FusePReluPass.cppNodeFiller.h
    QuantizeDequantizeWeightsPass.cppLayerInfoMap.h
    QuantizedModelVerifier.cppLayerInfoMap.h
    QuantizeWithMinMaxPass.cppLayerInfoMap.h
    RemoveUnnecessaryAddPass.cppNodeFiller.h
    ReplaceWithFCGeluFCPass.cppNodeFiller.h
    ResolveCustomOpMatMulPass.cppCreateCircleConst.h
    TransformMinMaxToRelu6Pass.cppNodeFiller.h
    TransformMinReluToRelu6Pass.cppNodeFiller.h
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/luci/profile/srcIncludes file in compiler/loco
    CircleNodeID.cppinclude / loco.h
    CircleNodeOrigin.cppinclude / loco.h
    +

    src → loco Relation

    File in compiler/luci/pass/srcIncludes file in compiler/loco
    CircleShapeInferencePass.cppinclude / loco.h
    CircleTypeInferencePass.cppinclude / loco.h
    DynamicBatchToSingleBatchPass.cppinclude / loco.h
    helpers / InferenceCandidates.hinclude / loco.h
    PassTestGraphs.hinclude / loco.h
    ProgressReporter.hinclude / loco.h
    QuantizationUtils.hinclude / loco / IR / TensorShape.h
    QuantizeDequantizeWeightsPass.cppinclude / loco / IR / TensorShape.h
    QuantizedModelVerifier.hinclude / loco.h
    ResolveCustomOpMatMulPass.cppinclude / loco / IR / DataTypeTraits.h
    ResolveCustomOpMatMulPass.cppinclude / loco.h
    ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / loco / IR / DataTypeTraits.h
    ResolveCustomOpMaxPoolWithArgmaxPass.cppinclude / loco.h
    helpers / Strings.hinclude / loco.h
    SubstituteSplitVToSplitPass.cppinclude / loco.h
    helpers / TypeMapper.hinclude / loco / IR / DataType.h
    diff --git a/dir_000880_000464.html b/dir_000882_000464.html similarity index 100% rename from dir_000880_000464.html rename to dir_000882_000464.html diff --git a/dir_000880_000468.html b/dir_000882_000468.html similarity index 100% rename from dir_000880_000468.html rename to dir_000882_000468.html diff --git a/dir_000880_000476.html b/dir_000882_000476.html similarity index 100% rename from dir_000880_000476.html rename to dir_000882_000476.html diff --git a/dir_000880_000478.html b/dir_000882_000478.html similarity index 100% rename from dir_000880_000478.html rename to dir_000882_000478.html diff --git a/dir_000880_000492.html b/dir_000882_000492.html similarity index 100% rename from dir_000880_000492.html rename to dir_000882_000492.html diff --git a/dir_000880_000648.html b/dir_000882_000649.html similarity index 100% rename from dir_000880_000648.html rename to dir_000882_000649.html diff --git a/dir_000880_000656.html b/dir_000882_000657.html similarity index 100% rename from dir_000880_000656.html rename to dir_000882_000657.html diff --git a/dir_000880_000731.html b/dir_000882_000732.html similarity index 100% rename from dir_000880_000731.html rename to dir_000882_000732.html diff --git a/dir_000880_000744.html b/dir_000882_000745.html similarity index 100% rename from dir_000880_000744.html rename to dir_000882_000745.html diff --git a/dir_000880_000797.html b/dir_000882_000798.html similarity index 100% rename from dir_000880_000797.html rename to dir_000882_000798.html diff --git a/dir_000881_000326.html b/dir_000883_000326.html similarity index 100% rename from dir_000881_000326.html rename to dir_000883_000326.html diff --git a/dir_000883_000455.html b/dir_000883_000455.html index caf53252cca..64fe877dd02 100644 --- a/dir_000883_000455.html +++ b/dir_000883_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/service/src -> loco Relation +ONE - On-device Neural Engine: compiler/luci/plan/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    src → loco Relation

    File in compiler/luci/plan/srcIncludes file in compiler/loco
    CircleNodeExecutionPlan.cppinclude / loco.h
    diff --git a/dir_000882_000327.html b/dir_000884_000327.html similarity index 100% rename from dir_000882_000327.html rename to dir_000884_000327.html diff --git a/dir_000879_000455.html b/dir_000884_000455.html similarity index 77% rename from dir_000879_000455.html rename to dir_000884_000455.html index fd31b1b8970..4e18ad51bcf 100644 --- a/dir_000879_000455.html +++ b/dir_000884_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/luci/partition/src -> loco Relation +ONE - On-device Neural Engine: compiler/luci/profile/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/luci/partition/srcIncludes file in compiler/loco
    PartitionPGroups.cppinclude / loco.h
    PartitionPModules.cppinclude / loco.h
    +

    src → loco Relation

    File in compiler/luci/profile/srcIncludes file in compiler/loco
    CircleNodeID.cppinclude / loco.h
    CircleNodeOrigin.cppinclude / loco.h
    diff --git a/dir_000883_000328.html b/dir_000885_000328.html similarity index 100% rename from dir_000883_000328.html rename to dir_000885_000328.html diff --git a/dir_000883_000442.html b/dir_000885_000442.html similarity index 100% rename from dir_000883_000442.html rename to dir_000885_000442.html diff --git a/dir_000885_000455.html b/dir_000885_000455.html new file mode 100644 index 00000000000..caf53252cca --- /dev/null +++ b/dir_000885_000455.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/luci/service/src -> loco Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + + + + + + diff --git a/dir_000883_000464.html b/dir_000885_000464.html similarity index 100% rename from dir_000883_000464.html rename to dir_000885_000464.html diff --git a/dir_000883_000468.html b/dir_000885_000468.html similarity index 100% rename from dir_000883_000468.html rename to dir_000885_000468.html diff --git a/dir_000883_000656.html b/dir_000885_000657.html similarity index 100% rename from dir_000883_000656.html rename to dir_000885_000657.html diff --git a/dir_000884_000228.html b/dir_000886_000228.html similarity index 100% rename from dir_000884_000228.html rename to dir_000886_000228.html diff --git a/dir_000884_000244.html b/dir_000886_000244.html similarity index 100% rename from dir_000884_000244.html rename to dir_000886_000244.html diff --git a/dir_000884_000277.html b/dir_000886_000277.html similarity index 100% rename from dir_000884_000277.html rename to dir_000886_000277.html diff --git a/dir_000884_000478.html b/dir_000886_000478.html similarity index 100% rename from dir_000884_000478.html rename to dir_000886_000478.html diff --git a/dir_000884_000656.html b/dir_000886_000657.html similarity index 100% rename from dir_000884_000656.html rename to dir_000886_000657.html diff --git a/dir_000884_000707.html b/dir_000886_000708.html similarity index 100% rename from dir_000884_000707.html rename to dir_000886_000708.html diff --git a/dir_000884_000797.html b/dir_000886_000798.html similarity index 100% rename from dir_000884_000797.html rename to dir_000886_000798.html diff --git a/dir_000885_000037.html b/dir_000887_000037.html similarity index 100% rename from dir_000885_000037.html rename to dir_000887_000037.html diff --git a/dir_000886_000263.html b/dir_000888_000263.html similarity index 100% rename from dir_000886_000263.html rename to dir_000888_000263.html diff --git a/dir_000886_000329.html b/dir_000888_000329.html similarity index 100% rename from dir_000886_000329.html rename to dir_000888_000329.html diff --git a/dir_000886_000480.html b/dir_000888_000480.html similarity index 100% rename from dir_000886_000480.html rename to dir_000888_000480.html diff --git a/dir_000893_000336.html b/dir_000895_000336.html similarity index 100% rename from dir_000893_000336.html rename to dir_000895_000336.html diff --git a/dir_000894_000337.html b/dir_000896_000337.html similarity index 100% rename from dir_000894_000337.html rename to dir_000896_000337.html diff --git a/dir_000895_000338.html b/dir_000897_000338.html similarity index 100% rename from dir_000895_000338.html rename to dir_000897_000338.html diff --git a/dir_000896_000339.html b/dir_000898_000339.html similarity index 100% rename from dir_000896_000339.html rename to dir_000898_000339.html diff --git a/dir_000896_000542.html b/dir_000898_000543.html similarity index 51% rename from dir_000896_000542.html rename to dir_000898_000543.html index b90e205d5e6..dd1c071c6a7 100644 --- a/dir_000896_000542.html +++ b/dir_000898_000543.html @@ -89,7 +89,7 @@
    -

    src → mir Relation

    File in compiler/mir-interpreter/srcIncludes file in compiler/mir
    ops / Abs.cppinclude / mir / ShapeRange.h
    ops / Abs.cppinclude / mir / Tensor.h
    ops / Abs.hinclude / mir / TensorVariant.h
    ops / Add.cppinclude / mir / ShapeRange.h
    ops / Add.cppinclude / mir / Tensor.h
    ops / Add.hinclude / mir / TensorVariant.h
    ops / AvgPool2D.cppinclude / mir / ShapeRange.h
    ops / AvgPool2D.cppinclude / mir / Tensor.h
    ops / AvgPool2D.hinclude / mir / ops / AvgPool2DOp.h
    ops / AvgPool2D.hinclude / mir / TensorVariant.h
    ops / CappedReLU.cppinclude / mir / ShapeRange.h
    ops / CappedReLU.cppinclude / mir / Tensor.h
    ops / CappedReLU.hinclude / mir / TensorVariant.h
    ops / Common.hinclude / mir / DataType.h
    ops / Common.hinclude / mir / Index.h
    ops / Common.hinclude / mir / Shape.h
    ops / Common.hinclude / mir / Tensor.h
    ops / Common.hinclude / mir / TensorVariant.h
    ops / Concat.hinclude / mir / TensorVariant.h
    ops / Conv2D.cppinclude / mir / Tensor.h
    ops / Conv2D.hinclude / mir / ops / Conv2DOp.h
    ops / Conv2D.hinclude / mir / TensorVariant.h
    ops / DeConv2D.cppinclude / mir / TensorUtil.h
    ops / DeConv2D.hinclude / mir / Attributes.h
    ops / DeConv2D.hinclude / mir / TensorVariant.h
    ops / DepthwiseConv2D.cppinclude / mir / ShapeRange.h
    ops / DepthwiseConv2D.cppinclude / mir / Tensor.h
    ops / DepthwiseConv2D.hinclude / mir / ops / DepthwiseConv2DOp.h
    ops / DepthwiseConv2D.hinclude / mir / TensorVariant.h
    ops / Div.cppinclude / mir / ShapeRange.h
    ops / Div.cppinclude / mir / Tensor.h
    ops / Div.hinclude / mir / TensorVariant.h
    ops / ELU.cppinclude / mir / ShapeRange.h
    ops / ELU.cppinclude / mir / Tensor.h
    ops / ELU.hinclude / mir / TensorVariant.h
    ops / Equal.cppinclude / mir / ShapeRange.h
    ops / Equal.cppinclude / mir / Tensor.h
    ops / Equal.hinclude / mir / TensorVariant.h
    ops / Fill.hinclude / mir / ShapeRange.h
    ops / Fill.hinclude / mir / Tensor.h
    ops / FullyConnected.cppinclude / mir / Tensor.h
    ops / FullyConnected.hinclude / mir / ops / FullyConnectedOp.h
    ops / FullyConnected.hinclude / mir / ShapeRange.h
    ops / Gather.cppinclude / mir / Tensor.h
    ops / Gather.hinclude / mir / ops / GatherOp.h
    ops / Gather.hinclude / mir / TensorVariant.h
    ops / Greater.cppinclude / mir / ShapeRange.h
    ops / Greater.cppinclude / mir / Tensor.h
    ops / Greater.hinclude / mir / TensorVariant.h
    ops / HardSwish.hinclude / mir / TensorVariant.h
    ops / LeakyReLU.cppinclude / mir / ShapeRange.h
    ops / LeakyReLU.cppinclude / mir / Tensor.h
    ops / LeakyReLU.hinclude / mir / TensorVariant.h
    ops / Less.cppinclude / mir / ShapeRange.h
    ops / Less.cppinclude / mir / Tensor.h
    ops / Less.hinclude / mir / TensorVariant.h
    ops / Max.cppinclude / mir / ShapeRange.h
    ops / Max.cppinclude / mir / Tensor.h
    ops / Max.hinclude / mir / TensorVariant.h
    ops / MaxPool2D.cppinclude / mir / ShapeRange.h
    ops / MaxPool2D.cppinclude / mir / Tensor.h
    ops / MaxPool2D.hinclude / mir / ops / MaxPool2DOp.h
    ops / MaxPool2D.hinclude / mir / TensorVariant.h
    MirInterpreter.cppinclude / mir / OpDefs.h
    ops / Mul.cppinclude / mir / ShapeRange.h
    ops / Mul.cppinclude / mir / Tensor.h
    ops / Mul.hinclude / mir / TensorVariant.h
    ops / Pad.cppinclude / mir / ShapeRange.h
    ops / Pad.cppinclude / mir / Tensor.h
    ops / Pad.hinclude / mir / ops / PadOp.h
    ops / Pad.hinclude / mir / TensorVariant.h
    ops / Quantization.cppinclude / mir / ShapeRange.h
    ops / Quantization.cppinclude / mir / Tensor.h
    ops / Quantization.hinclude / mir / TensorVariant.h
    ops / ReduceMean.cppinclude / mir / ops / ReduceMeanOp.h
    ops / ReduceMean.cppinclude / mir / ShapeRange.h
    ops / ReduceMean.cppinclude / mir / Tensor.h
    ops / ReduceMean.hinclude / mir / ops / ReduceMeanOp.h
    ops / ReLU.cppinclude / mir / ShapeRange.h
    ops / ReLU.cppinclude / mir / Tensor.h
    ops / ReLU.hinclude / mir / TensorVariant.h
    ops / Reshape.cppinclude / mir / ShapeRange.h
    ops / Reshape.hinclude / mir / TensorVariant.h
    ops / Sigmoid.cppinclude / mir / ShapeRange.h
    ops / Sigmoid.cppinclude / mir / Tensor.h
    ops / Sigmoid.hinclude / mir / TensorVariant.h
    ops / Slice.cppinclude / mir / ShapeRange.h
    ops / Slice.cppinclude / mir / Tensor.h
    ops / Slice.hinclude / mir / TensorVariant.h
    ops / Softmax.cppinclude / mir / ShapeRange.h
    ops / Softmax.cppinclude / mir / Tensor.h
    ops / Softmax.hinclude / mir / TensorVariant.h
    ops / Sqrt.cppinclude / mir / ShapeRange.h
    ops / Sqrt.cppinclude / mir / Tensor.h
    ops / Sqrt.hinclude / mir / TensorVariant.h
    ops / Sub.cppinclude / mir / ShapeRange.h
    ops / Sub.cppinclude / mir / Tensor.h
    ops / Sub.hinclude / mir / TensorVariant.h
    ops / Tanh.cppinclude / mir / ShapeRange.h
    ops / Tanh.cppinclude / mir / Tensor.h
    ops / Tanh.hinclude / mir / TensorVariant.h
    ops / Transpose.cppinclude / mir / ShapeRange.h
    ops / Transpose.cppinclude / mir / Tensor.h
    ops / Transpose.hinclude / mir / TensorVariant.h
    ops / Transpose.hinclude / mir / ops / TransposeOp.h
    +

    src → mir Relation

    File in compiler/mir-interpreter/srcIncludes file in compiler/mir
    ops / Abs.cppinclude / mir / ShapeRange.h
    ops / Abs.cppinclude / mir / Tensor.h
    ops / Abs.hinclude / mir / TensorVariant.h
    ops / Add.cppinclude / mir / ShapeRange.h
    ops / Add.cppinclude / mir / Tensor.h
    ops / Add.hinclude / mir / TensorVariant.h
    ops / AvgPool2D.cppinclude / mir / ShapeRange.h
    ops / AvgPool2D.cppinclude / mir / Tensor.h
    ops / AvgPool2D.hinclude / mir / ops / AvgPool2DOp.h
    ops / AvgPool2D.hinclude / mir / TensorVariant.h
    ops / CappedReLU.cppinclude / mir / ShapeRange.h
    ops / CappedReLU.cppinclude / mir / Tensor.h
    ops / CappedReLU.hinclude / mir / TensorVariant.h
    ops / Common.hinclude / mir / DataType.h
    ops / Common.hinclude / mir / Index.h
    ops / Common.hinclude / mir / Shape.h
    ops / Common.hinclude / mir / Tensor.h
    ops / Common.hinclude / mir / TensorVariant.h
    ops / Concat.hinclude / mir / TensorVariant.h
    ops / Conv2D.cppinclude / mir / Tensor.h
    ops / Conv2D.hinclude / mir / ops / Conv2DOp.h
    ops / Conv2D.hinclude / mir / TensorVariant.h
    ops / DeConv2D.cppinclude / mir / TensorUtil.h
    ops / DeConv2D.hinclude / mir / Attributes.h
    ops / DeConv2D.hinclude / mir / TensorVariant.h
    ops / DepthwiseConv2D.cppinclude / mir / ShapeRange.h
    ops / DepthwiseConv2D.cppinclude / mir / Tensor.h
    ops / DepthwiseConv2D.hinclude / mir / ops / DepthwiseConv2DOp.h
    ops / DepthwiseConv2D.hinclude / mir / TensorVariant.h
    ops / Div.cppinclude / mir / ShapeRange.h
    ops / Div.cppinclude / mir / Tensor.h
    ops / Div.hinclude / mir / TensorVariant.h
    ops / ELU.cppinclude / mir / ShapeRange.h
    ops / ELU.cppinclude / mir / Tensor.h
    ops / ELU.hinclude / mir / TensorVariant.h
    ops / Equal.cppinclude / mir / ShapeRange.h
    ops / Equal.cppinclude / mir / Tensor.h
    ops / Equal.hinclude / mir / TensorVariant.h
    ops / Fill.hinclude / mir / ShapeRange.h
    ops / Fill.hinclude / mir / Tensor.h
    ops / FullyConnected.cppinclude / mir / Tensor.h
    ops / FullyConnected.hinclude / mir / ops / FullyConnectedOp.h
    ops / FullyConnected.hinclude / mir / ShapeRange.h
    ops / Gather.cppinclude / mir / Tensor.h
    ops / Gather.hinclude / mir / ops / GatherOp.h
    ops / Gather.hinclude / mir / TensorVariant.h
    ops / Greater.cppinclude / mir / ShapeRange.h
    ops / Greater.cppinclude / mir / Tensor.h
    ops / Greater.hinclude / mir / TensorVariant.h
    ops / HardSwish.hinclude / mir / TensorVariant.h
    ops / LeakyReLU.cppinclude / mir / ShapeRange.h
    ops / LeakyReLU.cppinclude / mir / Tensor.h
    ops / LeakyReLU.hinclude / mir / TensorVariant.h
    ops / Less.cppinclude / mir / ShapeRange.h
    ops / Less.cppinclude / mir / Tensor.h
    ops / Less.hinclude / mir / TensorVariant.h
    ops / Max.cppinclude / mir / ShapeRange.h
    ops / Max.cppinclude / mir / Tensor.h
    ops / Max.hinclude / mir / TensorVariant.h
    ops / MaxPool2D.cppinclude / mir / ShapeRange.h
    ops / MaxPool2D.cppinclude / mir / Tensor.h
    ops / MaxPool2D.hinclude / mir / ops / MaxPool2DOp.h
    ops / MaxPool2D.hinclude / mir / TensorVariant.h
    MirInterpreter.cppinclude / mir / OpDefs.h
    ops / Mul.cppinclude / mir / ShapeRange.h
    ops / Mul.cppinclude / mir / Tensor.h
    ops / Mul.hinclude / mir / TensorVariant.h
    ops / Pad.cppinclude / mir / ShapeRange.h
    ops / Pad.cppinclude / mir / Tensor.h
    ops / Pad.hinclude / mir / ops / PadOp.h
    ops / Pad.hinclude / mir / TensorVariant.h
    ops / Quantization.cppinclude / mir / ShapeRange.h
    ops / Quantization.cppinclude / mir / Tensor.h
    ops / Quantization.hinclude / mir / TensorVariant.h
    ops / ReduceMean.cppinclude / mir / ops / ReduceMeanOp.h
    ops / ReduceMean.cppinclude / mir / ShapeRange.h
    ops / ReduceMean.cppinclude / mir / Tensor.h
    ops / ReduceMean.hinclude / mir / ops / ReduceMeanOp.h
    ops / ReLU.cppinclude / mir / ShapeRange.h
    ops / ReLU.cppinclude / mir / Tensor.h
    ops / ReLU.hinclude / mir / TensorVariant.h
    ops / Reshape.cppinclude / mir / ShapeRange.h
    ops / Reshape.hinclude / mir / TensorVariant.h
    ops / Sigmoid.cppinclude / mir / ShapeRange.h
    ops / Sigmoid.cppinclude / mir / Tensor.h
    ops / Sigmoid.hinclude / mir / TensorVariant.h
    ops / Slice.cppinclude / mir / ShapeRange.h
    ops / Slice.cppinclude / mir / Tensor.h
    ops / Slice.hinclude / mir / TensorVariant.h
    ops / Softmax.cppinclude / mir / ShapeRange.h
    ops / Softmax.cppinclude / mir / Tensor.h
    ops / Softmax.hinclude / mir / TensorVariant.h
    ops / Sqrt.cppinclude / mir / ShapeRange.h
    ops / Sqrt.cppinclude / mir / Tensor.h
    ops / Sqrt.hinclude / mir / TensorVariant.h
    ops / Sub.cppinclude / mir / ShapeRange.h
    ops / Sub.cppinclude / mir / Tensor.h
    ops / Sub.hinclude / mir / TensorVariant.h
    ops / Tanh.cppinclude / mir / ShapeRange.h
    ops / Tanh.cppinclude / mir / Tensor.h
    ops / Tanh.hinclude / mir / TensorVariant.h
    ops / Transpose.cppinclude / mir / ShapeRange.h
    ops / Transpose.cppinclude / mir / Tensor.h
    ops / Transpose.hinclude / mir / TensorVariant.h
    ops / Transpose.hinclude / mir / ops / TransposeOp.h
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/moco/lang/srcIncludes file in compiler/loco
    IR / TFDialect.cppinclude / loco / IR / Graph.h
    IR / TFDialect.cppinclude / loco / IR / GraphInputIndex.h
    IR / TFDialect.cppinclude / loco / IR / GraphOutputIndex.h
    +

    src → loco Relation

    File in compiler/moco-tf/srcIncludes file in compiler/loco
    Canonicalization / AddCanonicalizer.hinclude / loco.h
    Canonicalization / AvgPoolCanonicalizer.cppinclude / loco / IR / NodeShape.h
    Canonicalization / AvgPoolCanonicalizer.hinclude / loco.h
    Canonicalization / BiasAddCanonicalizer.hinclude / loco.h
    BroadcastHelper.cppinclude / loco / IR / Nodes.h
    BroadcastHelper.cppinclude / loco / Service / ShapeInference.h
    BroadcastHelper.hinclude / loco / IR / Dimension.h
    BroadcastHelper.hinclude / loco / IR / Node.h
    BroadcastHelper.hinclude / loco / IR / TensorShape.h
    CanonicalEltwiseInputConnector.cppinclude / loco / IR / Nodes.h
    CanonicalEltwiseInputConnector.hinclude / loco / IR / Node.h
    Canonicalizer.hinclude / loco.h
    Canonicalization / ConcatV2Canonicalizer.cppinclude / loco / Service / ShapeInference.h
    Canonicalization / ConcatV2Canonicalizer.hinclude / loco.h
    Canonicalization / ConstCanonicalizer.hinclude / loco.h
    Canonicalization / Conv2DBackpropInputCanonicalizer.cppinclude / loco / IR / Padding2D.h
    Canonicalization / Conv2DBackpropInputCanonicalizer.cppinclude / loco / Service / ShapeInference.h
    Canonicalization / Conv2DBackpropInputCanonicalizer.cppinclude / loco / IR / Stride.h
    Canonicalization / Conv2DBackpropInputCanonicalizer.hinclude / loco.h
    Canonicalization / Conv2DCanonicalizer.hinclude / loco.h
    Op / COpCall.cppinclude / loco.h
    Frontend.cppinclude / loco / Service / ShapeInference.h
    Canonicalization / IdentityCanonicalizer.hinclude / loco.h
    LogHelper.hinclude / loco / IR / FeatureShape.h
    LogHelper.hinclude / loco / IR / FilterShape.h
    LogHelper.hinclude / loco / IR / TensorShape.h
    Canonicalization / MaximumCanonicalizer.hinclude / loco.h
    Canonicalization / MaxPoolCanonicalizer.hinclude / loco.h
    Canonicalization / MeanCanonicalizer.hinclude / loco.h
    Canonicalization / MulCanonicalizer.hinclude / loco.h
    Optimizer.hinclude / loco.h
    Canonicalization / PadCanonicalizer.cppinclude / loco / Service / TypeInference.h
    ProgressReporter.hinclude / loco.h
    Canonicalization / RealDivCanonicalizer.hinclude / loco.h
    Canonicalization / Relu6Canonicalizer.hinclude / loco.h
    Canonicalization / ReluCanonicalizer.hinclude / loco.h
    Canonicalization / ReshapeCanonicalizer.hinclude / loco.h
    Canonicalization / RsqrtCanonicalizer.cppinclude / loco / Service / TypeInference.h
    Canonicalization / RsqrtCanonicalizer.hinclude / loco.h
    Canonicalization / SoftmaxCanonicalizer.hinclude / loco.h
    Canonicalization / SqrtCanonicalizer.hinclude / loco.h
    Canonicalization / SqueezeCanonicalizer.hinclude / loco.h
    Canonicalization / StopGradientCanonicalizer.hinclude / loco.h
    Canonicalization / SubCanonicalizer.hinclude / loco.h
    Canonicalization / TanhCanonicalizer.hinclude / loco.h
    TestHelper.hinclude / loco.h
    TFEltwiseBinaryCanonicalzeHelper.hinclude / loco / IR / Nodes.h
    TFEltwiseBinaryCanonicalzeHelper.hinclude / loco / IR / NodeShape.h
    TFEltwiseBinaryCanonicalzeHelper.hinclude / loco / Service / ShapeInference.h
    TFOptimizer.hinclude / loco.h
    Canonicalization / TFPushCanonicalizer.hinclude / loco.h
    TFReduceCanonicalzeHelper.hinclude / loco / Service / ShapeInference.h
    Transform.hinclude / loco.h
    Transforms / ShapeInferencePass.cppinclude / loco.h
    Transforms / ShapeInferencePass.cppinclude / loco / IR / CanonicalDialect.h
    Transforms / ShapeInferencePass.cppinclude / loco / Service / ShapeInference.h
    Transforms / ShapeInferencePass.cppinclude / loco / Service / ShapeInferenceRule.h
    Transforms / ShapeInferencePass.cppinclude / loco / Service / CanonicalShapeInferenceRule.h
    Transforms / ShapeInferencePass.cppinclude / loco / Service / MultiDialectShapeInferenceRule.h
    Transforms / ShapeInferencePass.hinclude / loco.h
    Transforms / TypeInferencePass.cppinclude / loco.h
    Transforms / TypeInferencePass.cppinclude / loco / IR / CanonicalDialect.h
    Transforms / TypeInferencePass.cppinclude / loco / Service / TypeInference.h
    Transforms / TypeInferencePass.hinclude / loco.h
    diff --git a/dir_000900_000458.html b/dir_000902_000458.html similarity index 100% rename from dir_000900_000458.html rename to dir_000902_000458.html diff --git a/dir_000900_000461.html b/dir_000902_000461.html similarity index 100% rename from dir_000900_000461.html rename to dir_000902_000461.html diff --git a/dir_000900_000476.html b/dir_000902_000476.html similarity index 100% rename from dir_000900_000476.html rename to dir_000902_000476.html diff --git a/dir_000900_000478.html b/dir_000902_000478.html similarity index 100% rename from dir_000900_000478.html rename to dir_000902_000478.html diff --git a/dir_000900_000479.html b/dir_000902_000479.html similarity index 100% rename from dir_000900_000479.html rename to dir_000902_000479.html diff --git a/dir_000900_000560.html b/dir_000902_000561.html similarity index 100% rename from dir_000900_000560.html rename to dir_000902_000561.html diff --git a/dir_000900_000568.html b/dir_000902_000569.html similarity index 100% rename from dir_000900_000568.html rename to dir_000902_000569.html diff --git a/dir_000900_000656.html b/dir_000902_000657.html similarity index 100% rename from dir_000900_000656.html rename to dir_000902_000657.html diff --git a/dir_000900_000662.html b/dir_000902_000663.html similarity index 100% rename from dir_000900_000662.html rename to dir_000902_000663.html diff --git a/dir_000900_000733.html b/dir_000902_000734.html similarity index 100% rename from dir_000900_000733.html rename to dir_000902_000734.html diff --git a/dir_000900_000734.html b/dir_000902_000735.html similarity index 100% rename from dir_000900_000734.html rename to dir_000902_000735.html diff --git a/dir_000900_000738.html b/dir_000902_000739.html similarity index 100% rename from dir_000900_000738.html rename to dir_000902_000739.html diff --git a/dir_000900_001041.html b/dir_000902_001043.html similarity index 100% rename from dir_000900_001041.html rename to dir_000902_001043.html diff --git a/dir_000903_000344.html b/dir_000903_000344.html new file mode 100644 index 00000000000..b0e099c8419 --- /dev/null +++ b/dir_000903_000344.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/moco/import/src -> include Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
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    +
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    Loading...
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    + +
    +

    src → include Relation

    File in compiler/moco/import/srcIncludes file in compiler/moco/import/include
    Nodes / Add.cppmoco / Import / Nodes / Add.h
    Nodes / AvgPool.cppmoco / Import / Nodes / AvgPool.h
    Nodes / BiasAdd.cppmoco / Import / Nodes / BiasAdd.h
    Nodes / Concat.cppmoco / Import / Nodes / Concat.h
    Nodes / Const.cppmoco / Import / Nodes / Const.h
    Nodes / Conv2D.cppmoco / Import / Nodes / Conv2D.h
    Nodes / Conv2DBackpropInput.cppmoco / Import / Nodes / Conv2DBackpropInput.h
    Nodes / DepthwiseConv2dNative.cppmoco / Import / Nodes / DepthwiseConv2dNative.h
    Nodes / FakeQuantWithMinMaxVars.cppmoco / Import / Nodes / FakeQuantWithMinMaxVars.h
    Nodes / FusedBatchNorm.cppmoco / Import / Nodes / FusedBatchNorm.h
    GraphBuilderContext.cppmoco / Import / GraphBuilderContext.h
    GraphBuilderRegistry.cppmoco / Import / GraphBuilderRegistry.h
    GraphBuilderRegistry.cppmoco / Import / Nodes.h
    Nodes / Identity.cppmoco / Import / Nodes / Identity.h
    Importer.cppmoco / Import / GraphBuilder.h
    Importer.cppmoco / Import / GraphBuilderContext.h
    Importer.cppmoco / Import / GraphBuilderRegistry.h
    Importer.cppmoco / Importer.h
    Nodes / Maximum.cppmoco / Import / Nodes / Maximum.h
    Nodes / MaxPool.cppmoco / Import / Nodes / MaxPool.h
    Nodes / Mean.cppmoco / Import / Nodes / Mean.h
    ModelSignature.cppmoco / Import / ModelSignature.h
    Nodes / Mul.cppmoco / Import / Nodes / Mul.h
    Nodes / Pack.cppmoco / Import / Nodes / Pack.h
    Nodes / Pad.cppmoco / Import / Nodes / Pad.h
    Nodes / Placeholder.cppmoco / Import / Nodes / Placeholder.h
    Nodes / RealDiv.cppmoco / Import / Nodes / RealDiv.h
    Nodes / Relu.cppmoco / Import / Nodes / Relu.h
    Nodes / Relu6.cppmoco / Import / Nodes / Relu6.h
    Nodes / Reshape.cppmoco / Import / Nodes / Reshape.h
    Nodes / Rsqrt.cppmoco / Import / Nodes / Rsqrt.h
    Nodes / Shape.cppmoco / Import / Nodes / Shape.h
    Nodes / Softmax.cppmoco / Import / Nodes / Softmax.h
    Nodes / Sqrt.cppmoco / Import / Nodes / Sqrt.h
    Nodes / SquaredDifference.cppmoco / Import / Nodes / SquaredDifference.h
    Nodes / Squeeze.cppmoco / Import / Nodes / Squeeze.h
    Nodes / StopGradient.cppmoco / Import / Nodes / StopGradient.h
    Nodes / StridedSlice.cppmoco / Import / Nodes / StridedSlice.h
    Nodes / Sub.cppmoco / Import / Nodes / Sub.h
    Nodes / Tanh.cppmoco / Import / Nodes / Tanh.h
    TestHelper.hmoco / Import / GraphBuilder.h
    +
    + + + + diff --git a/dir_000903_000443.html b/dir_000903_000443.html index bd240712bf7..c32551cf6e7 100644 --- a/dir_000903_000443.html +++ b/dir_000903_000443.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/pass/src -> lang Relation +ONE - On-device Neural Engine: compiler/moco/import/src -> lang Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → lang Relation

    File in compiler/moco/pass/srcIncludes file in compiler/moco/lang
    Passes / ConstantFoldAdd.cppinclude / moco / IR / Nodes / TFAdd.h
    Passes / ConstantFoldAdd.cppinclude / moco / IR / Nodes / TFConst.h
    ConstantFoldHelper.hinclude / moco / IR / Nodes / TFConst.h
    Passes / ConstantFoldMul.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / ConstantFoldMul.cppinclude / moco / IR / Nodes / TFMul.h
    Passes / ConstantFoldPack.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / ConstantFoldPack.cppinclude / moco / IR / Nodes / TFPack.h
    Passes / ConstantFoldStridedSlice.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / ConstantFoldStridedSlice.cppinclude / moco / IR / Nodes / TFStridedSlice.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / Nodes / TFAdd.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / Nodes / TFBiasAdd.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / Nodes / TFConv2D.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / Nodes / TFDepthwiseConv2dNative.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / TFDialect.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / Nodes / TFMul.h
    Passes / RemoveTFIdentityNode.cppinclude / moco / IR / TFDialect.h
    Passes / RemoveTFIdentityNode.cppinclude / moco / IR / TFNode.h
    Passes / ResolveConstantShape.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / ResolveConstantShape.cppinclude / moco / IR / Nodes / TFShape.h
    Passes / ResolveFusedBatchNorm.cppinclude / moco / IR / Nodes / TFAdd.h
    Passes / ResolveFusedBatchNorm.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / ResolveFusedBatchNorm.cppinclude / moco / IR / Nodes / TFFusedBatchNorm.h
    Passes / ResolveFusedBatchNorm.cppinclude / moco / IR / Nodes / TFMul.h
    Passes / ResolveReshapeWildcardDim.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / ResolveReshapeWildcardDim.cppinclude / moco / IR / Nodes / TFReshape.h
    Passes / ResolveSquaredDifference.cppinclude / moco / IR / TFDialect.h
    Passes / ResolveSquaredDifference.cppinclude / moco / IR / TFNodeImpl.h
    Passes / ResolveSquaredDifference.cppinclude / moco / IR / TFNodes.h
    Passes / ResolveSquaredDifference.cppinclude / moco / IR / TFNodeVisitor.h
    Passes / SqueezeReduceNode.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / SqueezeReduceNode.cppinclude / moco / IR / Nodes / TFMean.h
    Passes / SqueezeReduceNode.cppinclude / moco / IR / Nodes / TFSqueeze.h
    +

    src → lang Relation

    File in compiler/moco/import/srcIncludes file in compiler/moco/lang
    Nodes / Add.cppinclude / moco / IR / Nodes / TFAdd.h
    Nodes / AvgPool.cppinclude / moco / Names.h
    Nodes / AvgPool.cppinclude / moco / IR / Nodes / TFAvgPool.h
    Nodes / BiasAdd.cppinclude / moco / Names.h
    Nodes / BiasAdd.cppinclude / moco / IR / Nodes / TFBiasAdd.h
    Nodes / Concat.cppinclude / moco / Names.h
    Nodes / Concat.cppinclude / moco / IR / Nodes / TFConcatV2.h
    Nodes / Const.cppinclude / moco / Names.h
    Nodes / Const.cppinclude / moco / IR / TFNodes.h
    Nodes / Conv2D.cppinclude / moco / Names.h
    Nodes / Conv2D.cppinclude / moco / IR / Nodes / TFConv2D.h
    Nodes / Conv2DBackpropInput.cppinclude / moco / IR / Nodes / TFConv2DBackpropInput.h
    Nodes / DepthwiseConv2dNative.cppinclude / moco / Names.h
    Nodes / DepthwiseConv2dNative.cppinclude / moco / IR / Nodes / TFDepthwiseConv2dNative.h
    Nodes / FakeQuantWithMinMaxVars.cppinclude / moco / Names.h
    Nodes / FakeQuantWithMinMaxVars.cppinclude / moco / IR / Nodes / TFFakeQuantWithMinMaxVars.h
    Nodes / FusedBatchNorm.cppinclude / moco / IR / Nodes / TFFusedBatchNorm.h
    Nodes / Identity.cppinclude / moco / Names.h
    Nodes / Identity.cppinclude / moco / IR / Nodes / TFIdentity.h
    Importer.cppinclude / moco / IR / TFNode.h
    Importer.cppinclude / moco / IR / Nodes / TFPlaceholder.h
    Nodes / Maximum.cppinclude / moco / IR / Nodes / TFMaximum.h
    Nodes / MaxPool.cppinclude / moco / Names.h
    Nodes / MaxPool.cppinclude / moco / IR / Nodes / TFMaxPool.h
    Nodes / Mean.cppinclude / moco / IR / Nodes / TFMean.h
    Nodes / Mul.cppinclude / moco / IR / Nodes / TFMul.h
    Nodes / Pack.cppinclude / moco / Names.h
    Nodes / Pack.cppinclude / moco / IR / Nodes / TFConst.h
    Nodes / Pack.cppinclude / moco / IR / Nodes / TFPack.h
    Nodes / Pad.cppinclude / moco / IR / Nodes / TFPad.h
    Nodes / Placeholder.cppinclude / moco / Names.h
    Nodes / Placeholder.cppinclude / moco / IR / Nodes / TFPlaceholder.h
    Nodes / RealDiv.cppinclude / moco / IR / Nodes / TFRealDiv.h
    Nodes / Relu.cppinclude / moco / Names.h
    Nodes / Relu.cppinclude / moco / IR / Nodes / TFRelu.h
    Nodes / Relu6.cppinclude / moco / IR / Nodes / TFRelu6.h
    Nodes / Reshape.cppinclude / moco / Names.h
    Nodes / Reshape.cppinclude / moco / IR / Nodes / TFReshape.h
    Nodes / Rsqrt.cppinclude / moco / IR / Nodes / TFRsqrt.h
    Nodes / Shape.cppinclude / moco / IR / Nodes / TFShape.h
    Nodes / Softmax.cppinclude / moco / IR / Nodes / TFSoftmax.h
    Nodes / Sqrt.cppinclude / moco / IR / Nodes / TFSqrt.h
    Nodes / SquaredDifference.cppinclude / moco / IR / Nodes / TFSquaredDifference.h
    Nodes / Squeeze.cppinclude / moco / Names.h
    Nodes / Squeeze.cppinclude / moco / IR / Nodes / TFSqueeze.h
    Nodes / StopGradient.cppinclude / moco / IR / Nodes / TFStopGradient.h
    Nodes / StridedSlice.cppinclude / moco / Names.h
    Nodes / StridedSlice.cppinclude / moco / IR / Nodes / TFConst.h
    Nodes / StridedSlice.cppinclude / moco / IR / Nodes / TFStridedSlice.h
    Nodes / Sub.cppinclude / moco / IR / Nodes / TFSub.h
    Nodes / Tanh.cppinclude / moco / IR / Nodes / TFTanh.h
    TestHelper.hinclude / moco / IR / TFNode.h
    diff --git a/dir_000903_000455.html b/dir_000903_000455.html index b045d843ac8..cebfcadf9dc 100644 --- a/dir_000903_000455.html +++ b/dir_000903_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/pass/src -> loco Relation +ONE - On-device Neural Engine: compiler/moco/import/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    src → loco Relation

    File in compiler/moco/import/srcIncludes file in compiler/loco
    Nodes / Add.cppinclude / loco.h
    Nodes / AvgPool.cppinclude / loco / IR / PermutingCodec.h
    Nodes / BiasAdd.cppinclude / loco.h
    Nodes / BiasAdd.cppinclude / loco / IR / PermutingCodec.h
    Nodes / Concat.cppinclude / loco.h
    Nodes / Const.cppinclude / loco.h
    Nodes / Conv2D.cppinclude / loco.h
    Nodes / Conv2D.cppinclude / loco / IR / PermutingCodec.h
    Nodes / Conv2DBackpropInput.cppinclude / loco.h
    Nodes / DepthwiseConv2dNative.cppinclude / loco / IR / PermutingCodec.h
    Nodes / FakeQuantWithMinMaxVars.cppinclude / loco / IR / PermutingCodec.h
    Nodes / FusedBatchNorm.cppinclude / loco.h
    Nodes / Identity.cppinclude / loco.h
    Nodes / Maximum.cppinclude / loco.h
    Nodes / MaxPool.cppinclude / loco.h
    Nodes / MaxPool.cppinclude / loco / IR / PermutingCodec.h
    Nodes / Mean.cppinclude / loco.h
    Nodes / Mul.cppinclude / loco.h
    Nodes / Pack.cppinclude / loco.h
    Nodes / Pack.cppinclude / loco / IR / NodeShape.h
    Nodes / Pad.cppinclude / loco.h
    Nodes / RealDiv.cppinclude / loco.h
    Nodes / Relu.cppinclude / loco.h
    Nodes / Reshape.cppinclude / loco.h
    Nodes / Rsqrt.cppinclude / loco.h
    Nodes / Shape.cppinclude / loco.h
    Nodes / Softmax.cppinclude / loco.h
    Nodes / Sqrt.cppinclude / loco.h
    Nodes / SquaredDifference.cppinclude / loco.h
    Nodes / Squeeze.cppinclude / loco.h
    Nodes / StopGradient.cppinclude / loco.h
    Nodes / StridedSlice.cppinclude / loco.h
    Nodes / Sub.cppinclude / loco.h
    Nodes / Tanh.cppinclude / loco.h
    TestHelper.hinclude / loco.h
    diff --git a/dir_000901_000656.html b/dir_000903_000657.html similarity index 65% rename from dir_000901_000656.html rename to dir_000903_000657.html index c9e6e51252f..07e261bc57d 100644 --- a/dir_000901_000656.html +++ b/dir_000903_000657.html @@ -89,7 +89,7 @@ +

    src → oops Relation

    File in compiler/moco/import/srcIncludes file in compiler/oops
    Nodes / AvgPool.cppinclude / oops / UserExn.h
    Nodes / BiasAdd.cppinclude / oops / UserExn.h
    Nodes / Const.cppinclude / oops / UserExn.h
    Nodes / Conv2D.cppinclude / oops / UserExn.h
    Nodes / Conv2DBackpropInput.cppinclude / oops / UserExn.h
    Nodes / DepthwiseConv2dNative.cppinclude / oops / UserExn.h
    GraphBuilderContext.cppinclude / oops / UserExn.h
    Importer.cppinclude / oops / UserExn.h
    Nodes / MaxPool.cppinclude / oops / UserExn.h
    ModelSignature.cppinclude / oops / UserExn.h
    Nodes / Squeeze.cppinclude / oops / UserExn.h
    Nodes / StridedSlice.cppinclude / oops / UserExn.h
    +

    src → plier-tf Relation

    File in compiler/moco/import/srcIncludes file in compiler/plier-tf
    Nodes / AvgPool.cppinclude / plier / tf / Convert.h
    Nodes / BiasAdd.cppinclude / plier / tf / Convert.h
    Nodes / Concat.cppinclude / plier / tf / Convert.h
    Nodes / Const.cppinclude / plier / tf / Convert.h
    Nodes / Conv2D.cppinclude / plier / tf / Convert.h
    Nodes / Conv2DBackpropInput.cppinclude / plier / tf / Convert.h
    Nodes / DepthwiseConv2dNative.cppinclude / plier / tf / Convert.h
    Nodes / FakeQuantWithMinMaxVars.cppinclude / plier / tf / Convert.h
    Nodes / FusedBatchNorm.cppinclude / plier / tf / Convert.h
    Nodes / MaxPool.cppinclude / plier / tf / Convert.h
    Nodes / Mean.cppinclude / plier / tf / Convert.h
    Nodes / Pack.cppinclude / plier / tf / Convert.h
    Nodes / Pad.cppinclude / plier / tf / Convert.h
    Nodes / Placeholder.cppinclude / plier / tf / Convert.h
    Nodes / Reshape.cppinclude / plier / tf / Convert.h
    Nodes / Shape.cppinclude / plier / tf / Convert.h
    Nodes / Softmax.cppinclude / plier / tf / Convert.h
    Nodes / Squeeze.cppinclude / plier / tf / Convert.h
    Nodes / StopGradient.cppinclude / plier / tf / Convert.h
    Nodes / StridedSlice.cppinclude / plier / tf / Convert.h
    TestHelper.hinclude / plier / tf / TestHelper.h
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/moco/service/srcIncludes file in compiler/loco
    TestHelper.hinclude / loco.h
    Service / TFShapeInferenceRule.cppinclude / loco / IR / NodeShape.h
    Service / TFShapeInferenceRule.cppinclude / loco / Service / ShapeInference.h
    +

    src → loco Relation

    File in compiler/moco/lang/srcIncludes file in compiler/loco
    IR / TFDialect.cppinclude / loco / IR / Graph.h
    IR / TFDialect.cppinclude / loco / IR / GraphInputIndex.h
    IR / TFDialect.cppinclude / loco / IR / GraphOutputIndex.h
    diff --git a/dir_000903_000346.html b/dir_000905_000346.html similarity index 100% rename from dir_000903_000346.html rename to dir_000905_000346.html diff --git a/dir_000905_000443.html b/dir_000905_000443.html new file mode 100644 index 00000000000..bd240712bf7 --- /dev/null +++ b/dir_000905_000443.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/moco/pass/src -> lang Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    src → lang Relation

    File in compiler/moco/pass/srcIncludes file in compiler/moco/lang
    Passes / ConstantFoldAdd.cppinclude / moco / IR / Nodes / TFAdd.h
    Passes / ConstantFoldAdd.cppinclude / moco / IR / Nodes / TFConst.h
    ConstantFoldHelper.hinclude / moco / IR / Nodes / TFConst.h
    Passes / ConstantFoldMul.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / ConstantFoldMul.cppinclude / moco / IR / Nodes / TFMul.h
    Passes / ConstantFoldPack.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / ConstantFoldPack.cppinclude / moco / IR / Nodes / TFPack.h
    Passes / ConstantFoldStridedSlice.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / ConstantFoldStridedSlice.cppinclude / moco / IR / Nodes / TFStridedSlice.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / Nodes / TFAdd.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / Nodes / TFBiasAdd.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / Nodes / TFConv2D.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / Nodes / TFDepthwiseConv2dNative.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / TFDialect.h
    Passes / FuseBinaryIntoPreceding.cppinclude / moco / IR / Nodes / TFMul.h
    Passes / RemoveTFIdentityNode.cppinclude / moco / IR / TFDialect.h
    Passes / RemoveTFIdentityNode.cppinclude / moco / IR / TFNode.h
    Passes / ResolveConstantShape.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / ResolveConstantShape.cppinclude / moco / IR / Nodes / TFShape.h
    Passes / ResolveFusedBatchNorm.cppinclude / moco / IR / Nodes / TFAdd.h
    Passes / ResolveFusedBatchNorm.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / ResolveFusedBatchNorm.cppinclude / moco / IR / Nodes / TFFusedBatchNorm.h
    Passes / ResolveFusedBatchNorm.cppinclude / moco / IR / Nodes / TFMul.h
    Passes / ResolveReshapeWildcardDim.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / ResolveReshapeWildcardDim.cppinclude / moco / IR / Nodes / TFReshape.h
    Passes / ResolveSquaredDifference.cppinclude / moco / IR / TFDialect.h
    Passes / ResolveSquaredDifference.cppinclude / moco / IR / TFNodeImpl.h
    Passes / ResolveSquaredDifference.cppinclude / moco / IR / TFNodes.h
    Passes / ResolveSquaredDifference.cppinclude / moco / IR / TFNodeVisitor.h
    Passes / SqueezeReduceNode.cppinclude / moco / IR / Nodes / TFConst.h
    Passes / SqueezeReduceNode.cppinclude / moco / IR / Nodes / TFMean.h
    Passes / SqueezeReduceNode.cppinclude / moco / IR / Nodes / TFSqueeze.h
    +
    + + + + diff --git a/dir_000905_000455.html b/dir_000905_000455.html index b274b93ac59..b045d843ac8 100644 --- a/dir_000905_000455.html +++ b/dir_000905_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/moco/support/src -> loco Relation +ONE - On-device Neural Engine: compiler/moco/pass/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/moco/support/srcIncludes file in compiler/loco
    TFShapeInferenceHelper.cppinclude / loco / Service / ShapeInference.h
    +

    src → loco Relation

    File in compiler/moco/pass/srcIncludes file in compiler/loco
    ConstantFoldHelper.hinclude / loco.h
    ConstantFoldHelper.hinclude / loco / IR / TensorShape.h
    Passes / ConstantFoldPack.cppinclude / loco / IR / TensorShape.h
    Passes / ResolveConstantShape.cppinclude / loco.h
    Passes / ResolveSquaredDifference.cppinclude / loco / IR / NodeShape.h
    Passes / ResolveSquaredDifference.cppinclude / loco / Service / ShapeInference.h
    TensorPackEnumerator.hinclude / loco / IR / TensorShape.h
    TensorSliceEnumerator.hinclude / loco / IR / TensorShape.h
    TestHelper.hinclude / loco.h
    diff --git a/dir_000903_000656.html b/dir_000905_000657.html similarity index 100% rename from dir_000903_000656.html rename to dir_000905_000657.html diff --git a/dir_000903_000967.html b/dir_000905_000969.html similarity index 100% rename from dir_000903_000967.html rename to dir_000905_000969.html diff --git a/dir_000904_000347.html b/dir_000906_000347.html similarity index 100% rename from dir_000904_000347.html rename to dir_000906_000347.html diff --git a/dir_000904_000443.html b/dir_000906_000443.html similarity index 100% rename from dir_000904_000443.html rename to dir_000906_000443.html diff --git a/dir_000906_000455.html b/dir_000906_000455.html new file mode 100644 index 00000000000..08568caab07 --- /dev/null +++ b/dir_000906_000455.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/moco/service/src -> loco Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    src → loco Relation

    File in compiler/moco/service/srcIncludes file in compiler/loco
    TestHelper.hinclude / loco.h
    Service / TFShapeInferenceRule.cppinclude / loco / IR / NodeShape.h
    Service / TFShapeInferenceRule.cppinclude / loco / Service / ShapeInference.h
    +
    + + + + diff --git a/dir_000904_000656.html b/dir_000906_000657.html similarity index 100% rename from dir_000904_000656.html rename to dir_000906_000657.html diff --git a/dir_000904_000967.html b/dir_000906_000969.html similarity index 100% rename from dir_000904_000967.html rename to dir_000906_000969.html diff --git a/dir_000905_000348.html b/dir_000907_000348.html similarity index 100% rename from dir_000905_000348.html rename to dir_000907_000348.html diff --git a/dir_000864_000455.html b/dir_000907_000455.html similarity index 76% rename from dir_000864_000455.html rename to dir_000907_000455.html index fa88ad2afa8..b274b93ac59 100644 --- a/dir_000864_000455.html +++ b/dir_000907_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/locoex-customop/src -> loco Relation +ONE - On-device Neural Engine: compiler/moco/support/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/locoex-customop/srcIncludes file in compiler/loco
    Service / COpShapeInferenceRule.cppinclude / loco / Service / ShapeInference.h
    +

    src → loco Relation

    File in compiler/moco/support/srcIncludes file in compiler/loco
    TFShapeInferenceHelper.cppinclude / loco / Service / ShapeInference.h
    diff --git a/dir_000905_000656.html b/dir_000907_000657.html similarity index 100% rename from dir_000905_000656.html rename to dir_000907_000657.html diff --git a/dir_000906_000349.html b/dir_000908_000349.html similarity index 86% rename from dir_000906_000349.html rename to dir_000908_000349.html index b35c279d998..a4e757c4407 100644 --- a/dir_000906_000349.html +++ b/dir_000908_000349.html @@ -89,7 +89,7 @@
    -

    src → include Relation

    File in compiler/morph/srcIncludes file in compiler/morph/include
    caffe.cppmorph / caffe.h
    dims.cppmorph / dims.h
    nnapi.cppmorph / nnapi.h
    tflite.cppmorph / tflite.h
    +

    src → include Relation

    File in compiler/morph/srcIncludes file in compiler/morph/include
    caffe.cppmorph / caffe.h
    dims.cppmorph / dims.h
    nnapi.cppmorph / nnapi.h
    tflite.cppmorph / tflite.h
    @@ -89,12 +89,12 @@
    -

    src → angkor Relation

    File in compiler/nnkit-tf/support/srcIncludes file in compiler/angkor
    Backend.cppinclude / angkor / TensorShape.h
    Runner.cppinclude / nncc / core / ADT / tensor / Shape.h
    TensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    +

    src → angkor Relation

    File in compiler/nnkit-mocotf/support/srcIncludes file in compiler/angkor
    Backend.cppinclude / nncc / core / ADT / tensor / Buffer.h
    Backend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    InputTensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    InputTensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    OutputTensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    OutputTensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    TensorContext.hinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_000911_000360.html b/dir_000913_000360.html similarity index 100% rename from dir_000911_000360.html rename to dir_000913_000360.html diff --git a/dir_000911_000459.html b/dir_000913_000459.html similarity index 100% rename from dir_000911_000459.html rename to dir_000913_000459.html diff --git a/dir_000911_000560.html b/dir_000913_000561.html similarity index 100% rename from dir_000911_000560.html rename to dir_000913_000561.html diff --git a/dir_000911_000569.html b/dir_000913_000570.html similarity index 100% rename from dir_000911_000569.html rename to dir_000913_000570.html diff --git a/dir_000911_000614.html b/dir_000913_000615.html similarity index 100% rename from dir_000911_000614.html rename to dir_000913_000615.html diff --git a/dir_000911_001002.html b/dir_000913_001004.html similarity index 100% rename from dir_000911_001002.html rename to dir_000913_001004.html diff --git a/dir_000912_000361.html b/dir_000914_000361.html similarity index 100% rename from dir_000912_000361.html rename to dir_000914_000361.html diff --git a/dir_000913_000614.html b/dir_000915_000027.html similarity index 61% rename from dir_000913_000614.html rename to dir_000915_000027.html index 0fee9eb8830..da6007b78e8 100644 --- a/dir_000913_000614.html +++ b/dir_000915_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-tf/support/src -> nnkit-intf Relation +ONE - On-device Neural Engine: compiler/nnkit-tf/support/src -> angkor Relation @@ -89,7 +89,7 @@
    -

    src → nnkit-intf Relation

    File in compiler/nnkit-tf/support/srcIncludes file in compiler/nnkit-intf
    Backend.cppbackend / include / nnkit / Backend.h
    +

    src → angkor Relation

    File in compiler/nnkit-tf/support/srcIncludes file in compiler/angkor
    Backend.cppinclude / angkor / TensorShape.h
    Runner.cppinclude / nncc / core / ADT / tensor / Shape.h
    TensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    @@ -89,12 +89,12 @@
    -

    src → nnkit-misc Relation

    File in compiler/nnkit/tools/benchmark/srcIncludes file in compiler/nnkit-misc
    Benchmark.cppbackend / include / nnkit / BackendPlugin.h
    Benchmark.cppcmdline / include / nnkit / VectorArguments.h
    +

    src → nnkit-intf Relation

    File in compiler/nnkit-tf/support/srcIncludes file in compiler/nnkit-intf
    Backend.cppbackend / include / nnkit / Backend.h
    diff --git a/dir_000913_001002.html b/dir_000915_001004.html similarity index 100% rename from dir_000913_001002.html rename to dir_000915_001004.html diff --git a/dir_000916_000027.html b/dir_000916_000027.html index 764ca7be2eb..5728f91129d 100644 --- a/dir_000916_000027.html +++ b/dir_000916_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnsuite/conv/model/src -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-tflite/support/src -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → angkor Relation

    File in compiler/nnsuite/conv/model/srcIncludes file in compiler/angkor
    RandomModel.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    +

    src → angkor Relation

    File in compiler/nnkit-tflite/support/srcIncludes file in compiler/angkor
    TensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    diff --git a/dir_000914_000363.html b/dir_000916_000363.html similarity index 100% rename from dir_000914_000363.html rename to dir_000916_000363.html diff --git a/dir_000915_000614.html b/dir_000917_000615.html similarity index 100% rename from dir_000915_000614.html rename to dir_000917_000615.html diff --git a/dir_000917_000616.html b/dir_000917_000616.html new file mode 100644 index 00000000000..bfcb3ac2dc4 --- /dev/null +++ b/dir_000917_000616.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/nnkit/tools/benchmark/src -> nnkit-misc Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    src → nnkit-misc Relation

    File in compiler/nnkit/tools/benchmark/srcIncludes file in compiler/nnkit-misc
    Benchmark.cppbackend / include / nnkit / BackendPlugin.h
    Benchmark.cppcmdline / include / nnkit / VectorArguments.h
    +
    + + + + diff --git a/dir_000918_000027.html b/dir_000918_000027.html new file mode 100644 index 00000000000..764ca7be2eb --- /dev/null +++ b/dir_000918_000027.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/nnsuite/conv/model/src -> angkor Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    src → angkor Relation

    File in compiler/nnsuite/conv/model/srcIncludes file in compiler/angkor
    RandomModel.cppinclude / nncc / core / ADT / kernel / NCHWLayout.h
    +
    + + + + diff --git a/dir_000916_000365.html b/dir_000918_000365.html similarity index 100% rename from dir_000916_000365.html rename to dir_000918_000365.html diff --git a/dir_000918_000167.html b/dir_000920_000167.html similarity index 100% rename from dir_000918_000167.html rename to dir_000920_000167.html diff --git a/dir_000918_000366.html b/dir_000920_000366.html similarity index 100% rename from dir_000918_000366.html rename to dir_000920_000366.html diff --git a/dir_000918_000455.html b/dir_000920_000455.html similarity index 100% rename from dir_000918_000455.html rename to dir_000920_000455.html diff --git a/dir_000919_000224.html b/dir_000921_000224.html similarity index 100% rename from dir_000919_000224.html rename to dir_000921_000224.html diff --git a/dir_000919_000272.html b/dir_000921_000272.html similarity index 100% rename from dir_000919_000272.html rename to dir_000921_000272.html diff --git a/dir_000919_000461.html b/dir_000921_000461.html similarity index 100% rename from dir_000919_000461.html rename to dir_000921_000461.html diff --git a/dir_000919_000542.html b/dir_000921_000543.html similarity index 100% rename from dir_000919_000542.html rename to dir_000921_000543.html diff --git a/dir_000919_000545.html b/dir_000921_000546.html similarity index 100% rename from dir_000919_000545.html rename to dir_000921_000546.html diff --git a/dir_000920_000224.html b/dir_000922_000224.html similarity index 100% rename from dir_000920_000224.html rename to dir_000922_000224.html diff --git a/dir_000920_000542.html b/dir_000922_000543.html similarity index 100% rename from dir_000920_000542.html rename to dir_000922_000543.html diff --git a/dir_000920_000545.html b/dir_000922_000546.html similarity index 100% rename from dir_000920_000545.html rename to dir_000922_000546.html diff --git a/dir_000921_000105.html b/dir_000923_000105.html similarity index 93% rename from dir_000921_000105.html rename to dir_000923_000105.html index f287c5b68cc..26441679416 100644 --- a/dir_000921_000105.html +++ b/dir_000923_000105.html @@ -89,7 +89,7 @@
    -

    src → cli Relation

    File in compiler/onnxkit/srcIncludes file in compiler/cli
    DecodeCommand.hppinclude / cli / Command.h
    EncodeCommand.hppinclude / cli / Command.h
    Main.cppinclude / cli / App.h
    +

    src → cli Relation

    File in compiler/onnxkit/srcIncludes file in compiler/cli
    DecodeCommand.hppinclude / cli / Command.h
    EncodeCommand.hppinclude / cli / Command.h
    Main.cppinclude / cli / App.h
    +

    src → luci Relation

    File in compiler/record-minmax/srcIncludes file in compiler/luci
    MinMaxComputer.cpplang / include / luci / IR / CircleQuantParam.h
    MinMaxObserver.cpplang / include / luci / IR / CircleOpcode.h
    RecordFunction.cpplang / include / luci / IR / CircleQuantParam.h
    RecordMinMax.cppexport / include / luci / CircleExporter.h
    RecordMinMax.cppexport / include / luci / CircleFileExpContract.h
    RecordMinMax.cpplang / include / luci / IR / CircleQuantParam.h
    RecordMinMax.cpplang / include / luci / IR / DataTypeHelper.h
    RecordMinMax.cppimport / include / luci / Importer.h
    RecordMinMax.cpplog / include / luci / Log.h
    -

    src → include Relation

    File in compiler/souschef/srcIncludes file in compiler/souschef/include
    Dims.cppsouschef / Dims.h
    Explicit.cppsouschef / Data / Explicit.h
    Gaussian.cppsouschef / Data / Gaussian.h
    Gaussian.cppsouschef / LexicalCast.h
    LexicalCast.cppsouschef / LexicalCast.h
    +

    src → include Relation

    File in compiler/souschef/srcIncludes file in compiler/souschef/include
    Dims.cppsouschef / Dims.h
    Explicit.cppsouschef / Data / Explicit.h
    Gaussian.cppsouschef / Data / Gaussian.h
    Gaussian.cppsouschef / LexicalCast.h
    LexicalCast.cppsouschef / LexicalCast.h
    @@ -89,12 +89,12 @@
    -

    src → angkor Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/angkor
    CustomopConfLoader.cppinclude / angkor / TensorShape.h
    +

    src → angkor Relation

    File in compiler/tf2circle/srcIncludes file in compiler/angkor
    CustomopConfLoader.cppinclude / angkor / TensorShape.h
    diff --git a/dir_000932_000167.html b/dir_000932_000167.html index e457bd5e3c5..7a836ed2fcb 100644 --- a/dir_000932_000167.html +++ b/dir_000932_000167.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite/src -> cwrap Relation +ONE - On-device Neural Engine: compiler/tf2circle/src -> cwrap Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → cwrap Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/cwrap
    CustomopConfLoader.cppinclude / cwrap / Fildes.h
    +

    src → cwrap Relation

    File in compiler/tf2circle/srcIncludes file in compiler/cwrap
    CustomopConfLoader.cppinclude / cwrap / Fildes.h
    diff --git a/dir_000932_000224.html b/dir_000932_000224.html index 0de9e8496dd..e2aa41a264e 100644 --- a/dir_000932_000224.html +++ b/dir_000932_000224.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite/src -> exo Relation +ONE - On-device Neural Engine: compiler/tf2circle/src -> exo Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → exo Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/exo
    Driver.cppinclude / exo / LoggingContext.h
    Driver.cppinclude / exo / TFLExporter.h
    +

    src → exo Relation

    File in compiler/tf2circle/srcIncludes file in compiler/exo
    tf2circle.cppinclude / exo / CircleExporter.h
    tf2circle.cppinclude / exo / LoggingContext.h
    diff --git a/dir_000932_000272.html b/dir_000932_000272.html index 79755c48765..69a2925ba82 100644 --- a/dir_000932_000272.html +++ b/dir_000932_000272.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite/src -> hermes-std Relation +ONE - On-device Neural Engine: compiler/tf2circle/src -> hermes-std Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → hermes-std Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/hermes-std
    Driver.cppinclude / hermes / ConsoleReporter.h
    Driver.cppinclude / hermes / EnvConfig.h
    +

    src → hermes-std Relation

    File in compiler/tf2circle/srcIncludes file in compiler/hermes-std
    tf2circle.cppinclude / hermes / ConsoleReporter.h
    tf2circle.cppinclude / hermes / EnvConfig.h
    diff --git a/dir_000932_000455.html b/dir_000932_000455.html index dd66255bdf3..6fe1ed50db6 100644 --- a/dir_000932_000455.html +++ b/dir_000932_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite/src -> loco Relation +ONE - On-device Neural Engine: compiler/tf2circle/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/loco
    CustomopConfLoader.cppinclude / loco.h
    +

    src → loco Relation

    File in compiler/tf2circle/srcIncludes file in compiler/loco
    CustomopConfLoader.cppinclude / loco.h
    diff --git a/dir_000932_000461.html b/dir_000932_000461.html index 40dfaabb556..3cea5d30f57 100644 --- a/dir_000932_000461.html +++ b/dir_000932_000461.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite/src -> locop Relation +ONE - On-device Neural Engine: compiler/tf2circle/src -> locop Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → locop Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/locop
    Driver.cppinclude / locop / FormattedGraph.h
    +

    src → locop Relation

    File in compiler/tf2circle/srcIncludes file in compiler/locop
    tf2circle.cppinclude / locop / FormattedGraph.h
    diff --git a/dir_000932_000569.html b/dir_000932_000569.html index 5bdacd01fd1..64e6e6b6700 100644 --- a/dir_000932_000569.html +++ b/dir_000932_000569.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite/src -> moco-tf Relation +ONE - On-device Neural Engine: compiler/tf2circle/src -> moco-log Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → moco-tf Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/moco-tf
    CustomopConfLoader.hinclude / moco / tf / Frontend.h
    Driver.cppinclude / moco / tf / Frontend.h
    +

    src → moco-log Relation

    File in compiler/tf2circle/srcIncludes file in compiler/moco-log
    tf2circle.cppinclude / moco / LoggingContext.h
    diff --git a/dir_000930_000569.html b/dir_000932_000570.html similarity index 100% rename from dir_000930_000569.html rename to dir_000932_000570.html diff --git a/dir_000930_001002.html b/dir_000932_001004.html similarity index 100% rename from dir_000930_001002.html rename to dir_000932_001004.html diff --git a/dir_000931_000224.html b/dir_000933_000224.html similarity index 100% rename from dir_000931_000224.html rename to dir_000933_000224.html diff --git a/dir_000931_000272.html b/dir_000933_000272.html similarity index 100% rename from dir_000931_000272.html rename to dir_000933_000272.html diff --git a/dir_000931_000461.html b/dir_000933_000461.html similarity index 100% rename from dir_000931_000461.html rename to dir_000933_000461.html diff --git a/dir_000931_000568.html b/dir_000933_000569.html similarity index 100% rename from dir_000931_000568.html rename to dir_000933_000569.html diff --git a/dir_000931_000569.html b/dir_000933_000570.html similarity index 100% rename from dir_000931_000569.html rename to dir_000933_000570.html diff --git a/dir_000931_001002.html b/dir_000933_001004.html similarity index 100% rename from dir_000931_001002.html rename to dir_000933_001004.html diff --git a/dir_000934_000027.html b/dir_000934_000027.html index c3cd73d20c6..97cd5fdeb14 100644 --- a/dir_000934_000027.html +++ b/dir_000934_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tfinfo/src -> angkor Relation +ONE - On-device Neural Engine: compiler/tf2tflite/src -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → angkor Relation

    File in compiler/tfinfo/srcIncludes file in compiler/angkor
    TensorInfoParser.cppinclude / nncc / core / ADT / tensor / Shape.h
    +

    src → angkor Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/angkor
    CustomopConfLoader.cppinclude / angkor / TensorShape.h
    diff --git a/dir_000930_000167.html b/dir_000934_000167.html similarity index 89% rename from dir_000930_000167.html rename to dir_000934_000167.html index 7a836ed2fcb..e457bd5e3c5 100644 --- a/dir_000930_000167.html +++ b/dir_000934_000167.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2circle/src -> cwrap Relation +ONE - On-device Neural Engine: compiler/tf2tflite/src -> cwrap Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → cwrap Relation

    File in compiler/tf2circle/srcIncludes file in compiler/cwrap
    CustomopConfLoader.cppinclude / cwrap / Fildes.h
    +

    src → cwrap Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/cwrap
    CustomopConfLoader.cppinclude / cwrap / Fildes.h
    diff --git a/dir_000998_000224.html b/dir_000934_000224.html similarity index 77% rename from dir_000998_000224.html rename to dir_000934_000224.html index b89c19d8cb3..0de9e8496dd 100644 --- a/dir_000998_000224.html +++ b/dir_000934_000224.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2circle -> exo Relation +ONE - On-device Neural Engine: compiler/tf2tflite/src -> exo Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2circle → exo Relation

    File in compiler/tf2circleIncludes file in compiler/exo
    src / tf2circle.cppinclude / exo / CircleExporter.h
    src / tf2circle.cppinclude / exo / LoggingContext.h
    +

    src → exo Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/exo
    Driver.cppinclude / exo / LoggingContext.h
    Driver.cppinclude / exo / TFLExporter.h
    diff --git a/dir_000998_000272.html b/dir_000934_000272.html similarity index 78% rename from dir_000998_000272.html rename to dir_000934_000272.html index fd4391d12b2..79755c48765 100644 --- a/dir_000998_000272.html +++ b/dir_000934_000272.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2circle -> hermes-std Relation +ONE - On-device Neural Engine: compiler/tf2tflite/src -> hermes-std Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2circle → hermes-std Relation

    File in compiler/tf2circleIncludes file in compiler/hermes-std
    src / tf2circle.cppinclude / hermes / ConsoleReporter.h
    src / tf2circle.cppinclude / hermes / EnvConfig.h
    +

    src → hermes-std Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/hermes-std
    Driver.cppinclude / hermes / ConsoleReporter.h
    Driver.cppinclude / hermes / EnvConfig.h
    diff --git a/dir_000930_000455.html b/dir_000934_000455.html similarity index 89% rename from dir_000930_000455.html rename to dir_000934_000455.html index 6fe1ed50db6..dd66255bdf3 100644 --- a/dir_000930_000455.html +++ b/dir_000934_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2circle/src -> loco Relation +ONE - On-device Neural Engine: compiler/tf2tflite/src -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → loco Relation

    File in compiler/tf2circle/srcIncludes file in compiler/loco
    CustomopConfLoader.cppinclude / loco.h
    +

    src → loco Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/loco
    CustomopConfLoader.cppinclude / loco.h
    diff --git a/dir_000998_000461.html b/dir_000934_000461.html similarity index 85% rename from dir_000998_000461.html rename to dir_000934_000461.html index 67027745648..40dfaabb556 100644 --- a/dir_000998_000461.html +++ b/dir_000934_000461.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2circle -> locop Relation +ONE - On-device Neural Engine: compiler/tf2tflite/src -> locop Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2circle → locop Relation

    File in compiler/tf2circleIncludes file in compiler/locop
    src / tf2circle.cppinclude / locop / FormattedGraph.h
    +

    src → locop Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/locop
    Driver.cppinclude / locop / FormattedGraph.h
    diff --git a/dir_000932_000568.html b/dir_000934_000569.html similarity index 100% rename from dir_000932_000568.html rename to dir_000934_000569.html diff --git a/dir_000934_000570.html b/dir_000934_000570.html new file mode 100644 index 00000000000..5bdacd01fd1 --- /dev/null +++ b/dir_000934_000570.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/tf2tflite/src -> moco-tf Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    src → moco-tf Relation

    File in compiler/tf2tflite/srcIncludes file in compiler/moco-tf
    CustomopConfLoader.hinclude / moco / tf / Frontend.h
    Driver.cppinclude / moco / tf / Frontend.h
    +
    + + + + diff --git a/dir_000932_001002.html b/dir_000934_001004.html similarity index 100% rename from dir_000932_001002.html rename to dir_000934_001004.html diff --git a/dir_000933_000378.html b/dir_000935_000378.html similarity index 100% rename from dir_000933_000378.html rename to dir_000935_000378.html diff --git a/dir_000933_000656.html b/dir_000935_000657.html similarity index 100% rename from dir_000933_000656.html rename to dir_000935_000657.html diff --git a/dir_000930_000027.html b/dir_000936_000027.html similarity index 75% rename from dir_000930_000027.html rename to dir_000936_000027.html index 88a1f78aa68..c3cd73d20c6 100644 --- a/dir_000930_000027.html +++ b/dir_000936_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2circle/src -> angkor Relation +ONE - On-device Neural Engine: compiler/tfinfo/src -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → angkor Relation

    File in compiler/tf2circle/srcIncludes file in compiler/angkor
    CustomopConfLoader.cppinclude / angkor / TensorShape.h
    +

    src → angkor Relation

    File in compiler/tfinfo/srcIncludes file in compiler/angkor
    TensorInfoParser.cppinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_000934_000379.html b/dir_000936_000379.html similarity index 100% rename from dir_000934_000379.html rename to dir_000936_000379.html diff --git a/dir_000934_000656.html b/dir_000936_000657.html similarity index 100% rename from dir_000934_000656.html rename to dir_000936_000657.html diff --git a/dir_000935_000105.html b/dir_000937_000105.html similarity index 83% rename from dir_000935_000105.html rename to dir_000937_000105.html index 8ff544371a9..95d5b7749d1 100644 --- a/dir_000935_000105.html +++ b/dir_000937_000105.html @@ -89,7 +89,7 @@
    -

    src → cli Relation

    File in compiler/tfkit/srcIncludes file in compiler/cli
    ConvertCommand.hppinclude / cli / Command.h
    DecodeCommand.hppinclude / cli / Command.h
    EncodeCommand.hppinclude / cli / Command.h
    Main.cppinclude / cli / App.h
    PackCommand.hppinclude / cli / Command.h
    UnpackCommand.hppinclude / cli / Command.h
    +

    src → cli Relation

    File in compiler/tfkit/srcIncludes file in compiler/cli
    ConvertCommand.hppinclude / cli / Command.h
    DecodeCommand.hppinclude / cli / Command.h
    EncodeCommand.hppinclude / cli / Command.h
    Main.cppinclude / cli / App.h
    PackCommand.hppinclude / cli / Command.h
    UnpackCommand.hppinclude / cli / Command.h
    @@ -89,12 +89,12 @@
    -

    src → Op Relation

    File in compiler/tflchef/tflite/srcIncludes file in compiler/tflchef/tflite/src/Op
    TFliteOpChefs.hinclude / Abs.h
    TFliteOpChefs.hinclude / Add.h
    TFliteOpChefs.hinclude / AddN.h
    TFliteOpChefs.hinclude / ArgMax.h
    TFliteOpChefs.hinclude / ArgMin.h
    TFliteOpChefs.hinclude / AveragePool2D.h
    TFliteOpChefs.hinclude / BatchMatMul.h
    TFliteOpChefs.hinclude / BatchToSpaceND.h
    TFliteOpChefs.hinclude / BidirectionalSequenceLSTM.h
    TFliteOpChefs.hinclude / BroadcastTo.h
    TFliteOpChefs.hinclude / Cast.h
    TFliteOpChefs.hinclude / Ceil.h
    TFliteOpChefs.hinclude / Concatenation.h
    TFliteOpChefs.hinclude / Conv2D.h
    TFliteOpChefs.hinclude / Cos.h
    TFliteOpChefs.hinclude / CumSum.h
    TFliteOpChefs.hinclude / DepthToSpace.h
    TFliteOpChefs.hinclude / DepthwiseConv2D.h
    TFliteOpChefs.hinclude / Dequantize.h
    TFliteOpChefs.hinclude / Div.h
    TFliteOpChefs.hinclude / ELU.h
    TFliteOpChefs.hinclude / Equal.h
    TFliteOpChefs.hinclude / Exp.h
    TFliteOpChefs.hinclude / ExpandDims.h
    TFliteOpChefs.hinclude / FakeQuant.h
    TFliteOpChefs.hinclude / Fill.h
    TFliteOpChefs.hinclude / Floor.h
    TFliteOpChefs.hinclude / FloorDiv.h
    TFliteOpChefs.hinclude / FloorMod.h
    TFliteOpChefs.hinclude / FullyConnected.h
    TFliteOpChefs.hinclude / Gather.h
    TFliteOpChefs.hinclude / GatherNd.h
    TFliteOpChefs.hinclude / Gelu.h
    TFliteOpChefs.hinclude / Greater.h
    TFliteOpChefs.hinclude / GreaterEqual.h
    TFliteOpChefs.hinclude / HardSwish.h
    TFliteOpChefs.hinclude / L2Normalize.h
    TFliteOpChefs.hinclude / L2Pool2D.h
    TFliteOpChefs.hinclude / LeakyRelu.h
    TFliteOpChefs.hinclude / Less.h
    TFliteOpChefs.hinclude / LessEqual.h
    TFliteOpChefs.hinclude / LocalResponseNormalization.h
    TFliteOpChefs.hinclude / Log.h
    TFliteOpChefs.hinclude / LogicalAnd.h
    TFliteOpChefs.hinclude / LogicalNot.h
    TFliteOpChefs.hinclude / LogicalOr.h
    TFliteOpChefs.hinclude / Logistic.h
    TFliteOpChefs.hinclude / LogSoftmax.h
    TFliteOpChefs.hinclude / MatrixDiag.h
    TFliteOpChefs.hinclude / MatrixSetDiag.h
    TFliteOpChefs.hinclude / Maximum.h
    TFliteOpChefs.hinclude / MaxPool2D.h
    TFliteOpChefs.hinclude / Mean.h
    TFliteOpChefs.hinclude / Minimum.h
    TFliteOpChefs.hinclude / MirrorPad.h
    TFliteOpChefs.hinclude / Mul.h
    TFliteOpChefs.hinclude / Neg.h
    TFliteOpChefs.hinclude / NonMaxSuppressionV4.h
    TFliteOpChefs.hinclude / NonMaxSuppressionV5.h
    TFliteOpChefs.hinclude / NotEqual.h
    TFliteOpChefs.hinclude / OneHot.h
    TFliteOpChefs.hinclude / Pack.h
    TFliteOpChefs.hinclude / Pad.h
    TFliteOpChefs.hinclude / PadV2.h
    TFliteOpChefs.hinclude / Pow.h
    TFliteOpChefs.hinclude / PRelu.h
    TFliteOpChefs.hinclude / Quantize.h
    TFliteOpChefs.hinclude / Range.h
    TFliteOpChefs.hinclude / Rank.h
    TFliteOpChefs.hinclude / ReduceAny.h
    TFliteOpChefs.hinclude / ReduceMax.h
    TFliteOpChefs.hinclude / ReduceMin.h
    TFliteOpChefs.hinclude / ReduceProd.h
    TFliteOpChefs.hinclude / ReLU.h
    TFliteOpChefs.hinclude / ReLU6.h
    TFliteOpChefs.hinclude / ReLUN1To1.h
    TFliteOpChefs.hinclude / Reshape.h
    TFliteOpChefs.hinclude / ResizeBilinear.h
    TFliteOpChefs.hinclude / ResizeNearestNeighbor.h
    TFliteOpChefs.hinclude / ReverseSequence.h
    TFliteOpChefs.hinclude / ReverseV2.h
    TFliteOpChefs.hinclude / Round.h
    TFliteOpChefs.hinclude / Rsqrt.h
    TFliteOpChefs.hinclude / ScatterNd.h
    TFliteOpChefs.hinclude / SegmentSum.h
    TFliteOpChefs.hinclude / Select.h
    TFliteOpChefs.hinclude / SelectV2.h
    TFliteOpChefs.hinclude / Shape.h
    TFliteOpChefs.hinclude / Sin.h
    TFliteOpChefs.hinclude / Slice.h
    TFliteOpChefs.hinclude / Softmax.h
    TFliteOpChefs.hinclude / SpaceToBatchND.h
    TFliteOpChefs.hinclude / SpaceToDepth.h
    TFliteOpChefs.hinclude / SparseToDense.h
    TFliteOpChefs.hinclude / Split.h
    TFliteOpChefs.hinclude / SplitV.h
    TFliteOpChefs.hinclude / Sqrt.h
    TFliteOpChefs.hinclude / Square.h
    TFliteOpChefs.hinclude / SquaredDifference.h
    TFliteOpChefs.hinclude / Squeeze.h
    TFliteOpChefs.hinclude / StridedSlice.h
    TFliteOpChefs.hinclude / Sub.h
    TFliteOpChefs.hinclude / Sum.h
    TFliteOpChefs.hinclude / SVDF.h
    TFliteOpChefs.hinclude / Tanh.h
    TFliteOpChefs.hinclude / Tile.h
    TFliteOpChefs.hinclude / TopKV2.h
    TFliteOpChefs.hinclude / Transpose.h
    TFliteOpChefs.hinclude / TransposeConv.h
    TFliteOpChefs.hinclude / UnidirectionalSequenceLSTM.h
    TFliteOpChefs.hinclude / Unique.h
    TFliteOpChefs.hinclude / Unpack.h
    TFliteOpChefs.hinclude / Where.h
    TFliteOpChefs.hinclude / While.h
    TFliteOpChefs.hinclude / ZerosLike.h
    +

    src → Op Relation

    File in compiler/tflchef/core/srcIncludes file in compiler/tflchef/core/src/Op
    OpChefs.hAbs.h
    OpChefs.hAdd.h
    OpChefs.hAddN.h
    OpChefs.hArgMax.h
    OpChefs.hArgMin.h
    OpChefs.hAveragePool2D.h
    OpChefs.hBatchMatMul.h
    OpChefs.hBatchToSpaceND.h
    OpChefs.hBidirectionalSequenceLSTM.h
    OpChefs.hBroadcastTo.h
    OpChefs.hCast.h
    OpChefs.hCeil.h
    OpChefs.hConcatenation.h
    OpChefs.hConv2D.h
    OpChefs.hCos.h
    OpChefs.hCumSum.h
    OpChefs.hDensify.h
    OpChefs.hDepthToSpace.h
    OpChefs.hDepthwiseConv2D.h
    OpChefs.hDequantize.h
    OpChefs.hDiv.h
    OpChefs.hELU.h
    OpChefs.hEqual.h
    OpChefs.hExp.h
    OpChefs.hExpandDims.h
    OpChefs.hFakeQuant.h
    OpChefs.hFill.h
    OpChefs.hFloor.h
    OpChefs.hFloorDiv.h
    OpChefs.hFloorMod.h
    OpChefs.hFullyConnected.h
    OpChefs.hGather.h
    OpChefs.hGatherNd.h
    OpChefs.hGelu.h
    OpChefs.hGreater.h
    OpChefs.hGreaterEqual.h
    OpChefs.hHardSwish.h
    OpChefs.hIf.h
    OpChefs.hL2Normalize.h
    OpChefs.hL2Pool2D.h
    OpChefs.hLeakyRelu.h
    OpChefs.hLess.h
    OpChefs.hLessEqual.h
    OpChefs.hLocalResponseNormalization.h
    OpChefs.hLog.h
    OpChefs.hLogicalAnd.h
    OpChefs.hLogicalNot.h
    OpChefs.hLogicalOr.h
    OpChefs.hLogistic.h
    OpChefs.hLogSoftmax.h
    OpChefs.hMatrixDiag.h
    OpChefs.hMatrixSetDiag.h
    OpChefs.hMaximum.h
    OpChefs.hMaxPool2D.h
    OpChefs.hMean.h
    OpChefs.hMinimum.h
    OpChefs.hMirrorPad.h
    OpChefs.hMul.h
    OpChefs.hNeg.h
    OpChefs.hNonMaxSuppressionV4.h
    OpChefs.hNonMaxSuppressionV5.h
    OpChefs.hNotEqual.h
    OpChefs.hOneHot.h
    OpChefs.hPack.h
    OpChefs.hPad.h
    OpChefs.hPadV2.h
    OpChefs.hPow.h
    OpChefs.hPRelu.h
    OpChefs.hQuantize.h
    OpChefs.hRange.h
    OpChefs.hRank.h
    OpChefs.hReduceAny.h
    OpChefs.hReduceMax.h
    OpChefs.hReduceMin.h
    OpChefs.hReduceProd.h
    OpChefs.hReLU.h
    OpChefs.hReLU6.h
    OpChefs.hReLUN1To1.h
    OpChefs.hReshape.h
    OpChefs.hResizeBilinear.h
    OpChefs.hResizeNearestNeighbor.h
    OpChefs.hReverseSequence.h
    OpChefs.hReverseV2.h
    OpChefs.hRound.h
    OpChefs.hRsqrt.h
    OpChefs.hScatterNd.h
    OpChefs.hSegmentSum.h
    OpChefs.hSelect.h
    OpChefs.hSelectV2.h
    OpChefs.hShape.h
    OpChefs.hSin.h
    OpChefs.hSlice.h
    OpChefs.hSoftmax.h
    OpChefs.hSpaceToBatchND.h
    OpChefs.hSpaceToDepth.h
    OpChefs.hSparseToDense.h
    OpChefs.hSplit.h
    OpChefs.hSplitV.h
    OpChefs.hSqrt.h
    OpChefs.hSquare.h
    OpChefs.hSquaredDifference.h
    OpChefs.hSqueeze.h
    OpChefs.hStridedSlice.h
    OpChefs.hSub.h
    OpChefs.hSum.h
    OpChefs.hSVDF.h
    OpChefs.hTanh.h
    OpChefs.hTile.h
    OpChefs.hTopKV2.h
    OpChefs.hTranspose.h
    OpChefs.hTransposeConv.h
    OpChefs.hUnidirectionalSequenceLSTM.h
    OpChefs.hUnique.h
    OpChefs.hUnpack.h
    OpChefs.hWhere.h
    OpChefs.hWhile.h
    OpChefs.hZerosLike.h
    diff --git a/dir_000938_000812.html b/dir_000940_000814.html similarity index 100% rename from dir_000938_000812.html rename to dir_000940_000814.html diff --git a/dir_000939_000272.html b/dir_000941_000272.html similarity index 100% rename from dir_000939_000272.html rename to dir_000941_000272.html diff --git a/dir_000940_000382.html b/dir_000942_000382.html similarity index 100% rename from dir_000940_000382.html rename to dir_000942_000382.html diff --git a/dir_000940_000530.html b/dir_000942_000531.html similarity index 100% rename from dir_000940_000530.html rename to dir_000942_000531.html diff --git a/dir_000942_000666.html b/dir_000942_000666.html new file mode 100644 index 00000000000..d524acd1559 --- /dev/null +++ b/dir_000942_000666.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/tflchef/tflite/src -> Op Relation + + + + + + + + + + + + + +
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    ONE - On-device Neural Engine +
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    src → Op Relation

    File in compiler/tflchef/tflite/srcIncludes file in compiler/tflchef/tflite/src/Op
    TFliteOpChefs.hinclude / Abs.h
    TFliteOpChefs.hinclude / Add.h
    TFliteOpChefs.hinclude / AddN.h
    TFliteOpChefs.hinclude / ArgMax.h
    TFliteOpChefs.hinclude / ArgMin.h
    TFliteOpChefs.hinclude / AveragePool2D.h
    TFliteOpChefs.hinclude / BatchMatMul.h
    TFliteOpChefs.hinclude / BatchToSpaceND.h
    TFliteOpChefs.hinclude / BidirectionalSequenceLSTM.h
    TFliteOpChefs.hinclude / BroadcastTo.h
    TFliteOpChefs.hinclude / Cast.h
    TFliteOpChefs.hinclude / Ceil.h
    TFliteOpChefs.hinclude / Concatenation.h
    TFliteOpChefs.hinclude / Conv2D.h
    TFliteOpChefs.hinclude / Cos.h
    TFliteOpChefs.hinclude / CumSum.h
    TFliteOpChefs.hinclude / DepthToSpace.h
    TFliteOpChefs.hinclude / DepthwiseConv2D.h
    TFliteOpChefs.hinclude / Dequantize.h
    TFliteOpChefs.hinclude / Div.h
    TFliteOpChefs.hinclude / ELU.h
    TFliteOpChefs.hinclude / Equal.h
    TFliteOpChefs.hinclude / Exp.h
    TFliteOpChefs.hinclude / ExpandDims.h
    TFliteOpChefs.hinclude / FakeQuant.h
    TFliteOpChefs.hinclude / Fill.h
    TFliteOpChefs.hinclude / Floor.h
    TFliteOpChefs.hinclude / FloorDiv.h
    TFliteOpChefs.hinclude / FloorMod.h
    TFliteOpChefs.hinclude / FullyConnected.h
    TFliteOpChefs.hinclude / Gather.h
    TFliteOpChefs.hinclude / GatherNd.h
    TFliteOpChefs.hinclude / Gelu.h
    TFliteOpChefs.hinclude / Greater.h
    TFliteOpChefs.hinclude / GreaterEqual.h
    TFliteOpChefs.hinclude / HardSwish.h
    TFliteOpChefs.hinclude / L2Normalize.h
    TFliteOpChefs.hinclude / L2Pool2D.h
    TFliteOpChefs.hinclude / LeakyRelu.h
    TFliteOpChefs.hinclude / Less.h
    TFliteOpChefs.hinclude / LessEqual.h
    TFliteOpChefs.hinclude / LocalResponseNormalization.h
    TFliteOpChefs.hinclude / Log.h
    TFliteOpChefs.hinclude / LogicalAnd.h
    TFliteOpChefs.hinclude / LogicalNot.h
    TFliteOpChefs.hinclude / LogicalOr.h
    TFliteOpChefs.hinclude / Logistic.h
    TFliteOpChefs.hinclude / LogSoftmax.h
    TFliteOpChefs.hinclude / MatrixDiag.h
    TFliteOpChefs.hinclude / MatrixSetDiag.h
    TFliteOpChefs.hinclude / Maximum.h
    TFliteOpChefs.hinclude / MaxPool2D.h
    TFliteOpChefs.hinclude / Mean.h
    TFliteOpChefs.hinclude / Minimum.h
    TFliteOpChefs.hinclude / MirrorPad.h
    TFliteOpChefs.hinclude / Mul.h
    TFliteOpChefs.hinclude / Neg.h
    TFliteOpChefs.hinclude / NonMaxSuppressionV4.h
    TFliteOpChefs.hinclude / NonMaxSuppressionV5.h
    TFliteOpChefs.hinclude / NotEqual.h
    TFliteOpChefs.hinclude / OneHot.h
    TFliteOpChefs.hinclude / Pack.h
    TFliteOpChefs.hinclude / Pad.h
    TFliteOpChefs.hinclude / PadV2.h
    TFliteOpChefs.hinclude / Pow.h
    TFliteOpChefs.hinclude / PRelu.h
    TFliteOpChefs.hinclude / Quantize.h
    TFliteOpChefs.hinclude / Range.h
    TFliteOpChefs.hinclude / Rank.h
    TFliteOpChefs.hinclude / ReduceAny.h
    TFliteOpChefs.hinclude / ReduceMax.h
    TFliteOpChefs.hinclude / ReduceMin.h
    TFliteOpChefs.hinclude / ReduceProd.h
    TFliteOpChefs.hinclude / ReLU.h
    TFliteOpChefs.hinclude / ReLU6.h
    TFliteOpChefs.hinclude / ReLUN1To1.h
    TFliteOpChefs.hinclude / Reshape.h
    TFliteOpChefs.hinclude / ResizeBilinear.h
    TFliteOpChefs.hinclude / ResizeNearestNeighbor.h
    TFliteOpChefs.hinclude / ReverseSequence.h
    TFliteOpChefs.hinclude / ReverseV2.h
    TFliteOpChefs.hinclude / Round.h
    TFliteOpChefs.hinclude / Rsqrt.h
    TFliteOpChefs.hinclude / ScatterNd.h
    TFliteOpChefs.hinclude / SegmentSum.h
    TFliteOpChefs.hinclude / Select.h
    TFliteOpChefs.hinclude / SelectV2.h
    TFliteOpChefs.hinclude / Shape.h
    TFliteOpChefs.hinclude / Sin.h
    TFliteOpChefs.hinclude / Slice.h
    TFliteOpChefs.hinclude / Softmax.h
    TFliteOpChefs.hinclude / SpaceToBatchND.h
    TFliteOpChefs.hinclude / SpaceToDepth.h
    TFliteOpChefs.hinclude / SparseToDense.h
    TFliteOpChefs.hinclude / Split.h
    TFliteOpChefs.hinclude / SplitV.h
    TFliteOpChefs.hinclude / Sqrt.h
    TFliteOpChefs.hinclude / Square.h
    TFliteOpChefs.hinclude / SquaredDifference.h
    TFliteOpChefs.hinclude / Squeeze.h
    TFliteOpChefs.hinclude / StridedSlice.h
    TFliteOpChefs.hinclude / Sub.h
    TFliteOpChefs.hinclude / Sum.h
    TFliteOpChefs.hinclude / SVDF.h
    TFliteOpChefs.hinclude / Tanh.h
    TFliteOpChefs.hinclude / Tile.h
    TFliteOpChefs.hinclude / TopKV2.h
    TFliteOpChefs.hinclude / Transpose.h
    TFliteOpChefs.hinclude / TransposeConv.h
    TFliteOpChefs.hinclude / UnidirectionalSequenceLSTM.h
    TFliteOpChefs.hinclude / Unique.h
    TFliteOpChefs.hinclude / Unpack.h
    TFliteOpChefs.hinclude / Where.h
    TFliteOpChefs.hinclude / While.h
    TFliteOpChefs.hinclude / ZerosLike.h
    +
    + + + + diff --git a/dir_000940_000812.html b/dir_000942_000814.html similarity index 100% rename from dir_000940_000812.html rename to dir_000942_000814.html diff --git a/dir_000941_000384.html b/dir_000943_000384.html similarity index 100% rename from dir_000941_000384.html rename to dir_000943_000384.html diff --git a/dir_000941_000530.html b/dir_000943_000531.html similarity index 100% rename from dir_000941_000530.html rename to dir_000943_000531.html diff --git a/dir_000941_000648.html b/dir_000943_000649.html similarity index 100% rename from dir_000941_000648.html rename to dir_000943_000649.html diff --git a/dir_000942_000062.html b/dir_000944_000062.html similarity index 100% rename from dir_000942_000062.html rename to dir_000944_000062.html diff --git a/dir_000942_000244.html b/dir_000944_000244.html similarity index 100% rename from dir_000942_000244.html rename to dir_000944_000244.html diff --git a/dir_000942_000385.html b/dir_000944_000385.html similarity index 100% rename from dir_000942_000385.html rename to dir_000944_000385.html diff --git a/dir_000942_000530.html b/dir_000944_000531.html similarity index 100% rename from dir_000942_000530.html rename to dir_000944_000531.html diff --git a/dir_000943_000386.html b/dir_000945_000386.html similarity index 100% rename from dir_000943_000386.html rename to dir_000945_000386.html diff --git a/dir_000944_000035.html b/dir_000946_000035.html similarity index 100% rename from dir_000944_000035.html rename to dir_000946_000035.html diff --git a/dir_000946_000390.html b/dir_000946_000390.html deleted file mode 100644 index 21621c68e5b..00000000000 --- a/dir_000946_000390.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: onert-micro/onert-micro/src -> include Relation - - - - - - - - - - - - - -
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    src → include Relation

    File in onert-micro/onert-micro/srcIncludes file in onert-micro/onert-micro/include
    import / kernels / Abs.cppimport / OMKernelConfigureBuilder.h
    execute / kernels / Abs.cppexecute / OMKernelExecutionBuilder.h
    execute / kernels / Abs.cppexecute / OMRuntimeKernel.h
    import / kernels / Abs.cppexecute / OMRuntimeKernel.h
    execute / kernels / Abs.cppOMStatus.h
    import / kernels / Abs.cppOMStatus.h
    execute / kernels / Abs.cppcore / OMUtils.h
    import / kernels / Abs.cppcore / OMUtils.h
    import / kernels / Add.cppimport / OMKernelConfigureBuilder.h
    execute / kernels / Add.cppexecute / OMKernelExecutionBuilder.h
    import / kernels / Add.cppexecute / OMRuntimeKernel.h
    execute / kernels / Add.cppexecute / OMRuntimeKernel.h
    execute / kernels / Add.cppcore / OMRuntimeShape.h
    import / kernels / Add.cppOMStatus.h
    execute / kernels / Add.cppOMStatus.h
    import / kernels / Add.cppcore / OMUtils.h
    execute / kernels / Add.cppexecute / OMUtils.h
    execute / kernels / Add.cppcore / OMUtils.h
    import / kernels / Concatenation.cppcore / OMDataType.h
    import / kernels / Concatenation.cppimport / OMKernelConfigureBuilder.h
    execute / kernels / Concatenation.cppcore / OMKernelData.h
    execute / kernels / Concatenation.cppexecute / OMKernelExecutionBuilder.h
    import / kernels / Concatenation.cppexecute / OMRuntimeKernel.h
    execute / kernels / Concatenation.cppexecute / OMRuntimeKernel.h
    execute / kernels / Concatenation.cppcore / OMRuntimeShape.h
    import / kernels / Concatenation.cppOMStatus.h
    execute / kernels / Concatenation.cppOMStatus.h
    execute / kernels / Concatenation.cppexecute / OMUtils.h
    import / kernels / Concatenation.cppcore / OMUtils.h
    execute / kernels / Concatenation.cppcore / OMUtils.h
    import / kernels / Conv2D.cppimport / OMKernelConfigureBuilder.h
    import / kernels / Conv2D.cppcore / OMKernelData.h
    execute / kernels / Conv2D.cppcore / OMKernelData.h
    execute / kernels / Conv2D.cppexecute / OMKernelExecutionBuilder.h
    execute / kernels / Conv2D.cppexecute / OMRuntimeKernel.h
    import / kernels / Conv2D.cppexecute / OMRuntimeKernel.h
    execute / kernels / Conv2D.cppOMStatus.h
    import / kernels / Conv2D.cppOMStatus.h
    execute / kernels / Conv2D.cppcore / OMUtils.h
    import / kernels / Conv2D.cppcore / OMUtils.h
    execute / kernels / Conv2D.cppexecute / OMUtils.h
    import / kernels / Conv2D.cppexecute / OMUtils.h
    optimize / pass / FindInplaceOpPass.cppcore / reader / OMCircleReader.h
    optimize / pass / FindInplaceOpPass.cppOMConfig.h
    optimize / pass / FindInplaceOpPass.cppcore / OMKernelType.h
    optimize / pass / FindInplaceOpPass.cppoptimize / OMOptimizePassesBuilder.h
    optimize / pass / FindInplaceOpPass.cppcore / OMRuntimeStorage.h
    optimize / pass / FindInplaceOpPass.cppOMStatus.h
    import / kernels / FullyConnected.cppimport / OMKernelConfigureBuilder.h
    import / kernels / FullyConnected.cppcore / OMKernelData.h
    execute / kernels / FullyConnected.cppcore / OMKernelData.h
    execute / kernels / FullyConnected.cppexecute / OMKernelExecutionBuilder.h
    execute / kernels / FullyConnected.cppexecute / OMRuntimeKernel.h
    import / kernels / FullyConnected.cppexecute / OMRuntimeKernel.h
    import / kernels / FullyConnected.cppOMStatus.h
    execute / kernels / FullyConnected.cppOMStatus.h
    execute / kernels / FullyConnected.cppexecute / OMUtils.h
    import / kernels / FullyConnected.cppcore / OMUtils.h
    execute / kernels / FullyConnected.cppcore / OMUtils.h
    import / kernels / Gather.cppimport / OMKernelConfigureBuilder.h
    execute / kernels / Gather.cppcore / OMKernelData.h
    execute / kernels / Gather.cppexecute / OMKernelExecutionBuilder.h
    execute / kernels / Gather.cppexecute / OMRuntimeKernel.h
    import / kernels / Gather.cppexecute / OMRuntimeKernel.h
    execute / kernels / Gather.cppOMStatus.h
    import / kernels / Gather.cppOMStatus.h
    execute / kernels / Gather.cppcore / OMUtils.h
    import / kernels / Gather.cppcore / OMUtils.h
    execute / kernels / Gather.cppexecute / OMUtils.h
    import / kernels / Logistic.cppimport / OMKernelConfigureBuilder.h
    execute / kernels / Logistic.cppexecute / OMKernelExecutionBuilder.h
    execute / kernels / Logistic.cppexecute / OMRuntimeKernel.h
    import / kernels / Logistic.cppexecute / OMRuntimeKernel.h
    import / kernels / Logistic.cppOMStatus.h
    execute / kernels / Logistic.cppOMStatus.h
    execute / kernels / Logistic.cppcore / OMUtils.h
    import / kernels / Logistic.cppcore / OMUtils.h
    import / kernels / MaxPool2D.cppimport / OMKernelConfigureBuilder.h
    execute / kernels / MaxPool2D.cppcore / OMKernelData.h
    import / kernels / MaxPool2D.cppcore / OMKernelData.h
    execute / kernels / MaxPool2D.cppexecute / OMKernelExecutionBuilder.h
    import / kernels / MaxPool2D.cppexecute / OMRuntimeKernel.h
    execute / kernels / MaxPool2D.cppexecute / OMRuntimeKernel.h
    import / kernels / MaxPool2D.cppOMStatus.h
    execute / kernels / MaxPool2D.cppOMStatus.h
    import / kernels / MaxPool2D.cppexecute / OMUtils.h
    execute / kernels / MaxPool2D.cppexecute / OMUtils.h
    import / kernels / MaxPool2D.cppcore / OMUtils.h
    execute / kernels / MaxPool2D.cppcore / OMUtils.h
    import / kernels / Mul.cppimport / OMKernelConfigureBuilder.h
    execute / kernels / Mul.cppexecute / OMKernelExecutionBuilder.h
    execute / kernels / Mul.cppexecute / OMRuntimeKernel.h
    import / kernels / Mul.cppexecute / OMRuntimeKernel.h
    execute / kernels / Mul.cppcore / OMRuntimeShape.h
    import / kernels / Mul.cppOMStatus.h
    execute / kernels / Mul.cppOMStatus.h
    execute / kernels / Mul.cppcore / OMUtils.h
    import / kernels / Mul.cppcore / OMUtils.h
    execute / kernels / Mul.cppexecute / OMUtils.h
    core / reader / OMCircleReader.cppcore / reader / OMCircleReader.h
    core / OMDataType.cppcore / OMDataType.h
    import / OMExecutionPlanCreator.cppimport / OMExecutionPlanCreator.h
    OMInterpreter.cppOMInterpreter.h
    import / OMKernelConfiguration.cppimport / OMKernelConfiguration.h
    import / OMKernelConfiguration.cppimport / OMKernelConfigureBuilder.h
    import / OMKernelConfiguration.cppcore / OMKernelType.h
    import / OMKernelConfigureBuilder.cppimport / OMKernelConfigureBuilder.h
    execute / OMKernelExecute.cppexecute / OMKernelExecute.h
    execute / OMKernelExecute.cppexecute / OMKernelExecutionBuilder.h
    execute / OMKernelExecute.cppcore / OMKernelType.h
    execute / OMKernelExecutionBuilder.cppexecute / OMKernelExecutionBuilder.h
    core / OMKernelType.cppcore / OMKernelType.h
    core / memory / OMMemoryManager.cppcore / memory / OMMemoryManager.h
    optimize / OMOptimizer.cppoptimize / OMGraphStatus.h
    optimize / OMOptimizer.cppimport / OMKernelConfigureBuilder.h
    optimize / OMOptimizer.cppoptimize / OMOptimizePassesBuilder.h
    optimize / OMOptimizer.cppoptimize / OMOptimizer.h
    optimize / OMOptimizer.cppOMStatus.h
    core / memory / OMRuntimeAllocator.cppcore / OMDataType.h
    core / memory / OMRuntimeAllocator.cppcore / memory / OMMemoryManager.h
    core / memory / OMRuntimeAllocator.cppcore / memory / OMRuntimeAllocator.h
    core / OMRuntimeContext.cppcore / OMRuntimeContext.h
    core / OMRuntimeGraph.cppcore / OMRuntimeGraph.h
    core / OMRuntimeGraph.cppOMStatus.h
    execute / OMRuntimeKernel.cppexecute / OMRuntimeKernel.h
    core / OMRuntimeModule.cppimport / OMConfigureArgs.h
    core / OMRuntimeModule.cppimport / OMExecutionPlanCreator.h
    core / OMRuntimeModule.cppimport / OMKernelConfiguration.h
    core / OMRuntimeModule.cppexecute / OMKernelExecute.h
    core / OMRuntimeModule.cppoptimize / OMOptimizer.h
    core / OMRuntimeModule.cppcore / OMRuntimeModule.h
    core / OMRuntimeStorage.cppcore / OMRuntimeStorage.h
    execute / OMTestUtils.cppOMInterpreter.h
    execute / OMTestUtils.cppexecute / OMTestUtils.h
    core / OMUtils.cppcore / OMUtils.h
    execute / OMUtils.cppexecute / OMUtils.h
    import / kernels / Pack.cppcore / OMDataType.h
    import / kernels / Pack.cppimport / OMKernelConfigureBuilder.h
    execute / kernels / Pack.cppexecute / OMKernelExecutionBuilder.h
    execute / kernels / Pack.cppexecute / OMRuntimeKernel.h
    import / kernels / Pack.cppexecute / OMRuntimeKernel.h
    execute / kernels / Pack.cppcore / OMRuntimeShape.h
    execute / kernels / Pack.cppOMStatus.h
    import / kernels / Pack.cppOMStatus.h
    execute / kernels / Pack.cppcore / OMUtils.h
    import / kernels / Pack.cppcore / OMUtils.h
    execute / kernels / Reshape.cppcore / OMDataType.h
    import / kernels / Reshape.cppimport / OMKernelConfigureBuilder.h
    execute / kernels / Reshape.cppexecute / OMKernelExecutionBuilder.h
    import / kernels / Reshape.cppexecute / OMRuntimeKernel.h
    execute / kernels / Reshape.cppexecute / OMRuntimeKernel.h
    import / kernels / Reshape.cppOMStatus.h
    execute / kernels / Reshape.cppOMStatus.h
    import / kernels / Reshape.cppcore / OMUtils.h
    execute / kernels / Reshape.cppcore / OMUtils.h
    import / kernels / Shape.cppimport / OMKernelConfigureBuilder.h
    execute / kernels / Shape.cppexecute / OMKernelExecutionBuilder.h
    execute / kernels / Shape.cppexecute / OMRuntimeKernel.h
    import / kernels / Shape.cppexecute / OMRuntimeKernel.h
    import / kernels / Shape.cppOMStatus.h
    execute / kernels / Shape.cppOMStatus.h
    import / kernels / Shape.cppcore / OMUtils.h
    execute / kernels / Shape.cppcore / OMUtils.h
    import / kernels / StridedSlice.cppimport / OMKernelConfigureBuilder.h
    import / kernels / StridedSlice.cppcore / OMKernelData.h
    execute / kernels / StridedSlice.cppcore / OMKernelData.h
    execute / kernels / StridedSlice.cppexecute / OMKernelExecutionBuilder.h
    execute / kernels / StridedSlice.cppexecute / OMRuntimeKernel.h
    import / kernels / StridedSlice.cppexecute / OMRuntimeKernel.h
    import / kernels / StridedSlice.cppOMStatus.h
    execute / kernels / StridedSlice.cppOMStatus.h
    execute / kernels / StridedSlice.cppexecute / OMUtils.h
    import / kernels / StridedSlice.cppcore / OMUtils.h
    execute / kernels / StridedSlice.cppcore / OMUtils.h
    import / kernels / Sub.cppimport / OMKernelConfigureBuilder.h
    execute / kernels / Sub.cppexecute / OMKernelExecutionBuilder.h
    execute / kernels / Sub.cppexecute / OMRuntimeKernel.h
    import / kernels / Sub.cppexecute / OMRuntimeKernel.h
    execute / kernels / Sub.cppcore / OMRuntimeShape.h
    import / kernels / Sub.cppOMStatus.h
    execute / kernels / Sub.cppOMStatus.h
    import / kernels / Sub.cppcore / OMUtils.h
    execute / kernels / Sub.cppcore / OMUtils.h
    execute / kernels / Sub.cppexecute / OMUtils.h
    -
    - - - - diff --git a/dir_000945_000121.html b/dir_000947_000121.html similarity index 100% rename from dir_000945_000121.html rename to dir_000947_000121.html diff --git a/dir_000945_000389.html b/dir_000947_000389.html similarity index 100% rename from dir_000945_000389.html rename to dir_000947_000389.html diff --git a/dir_000945_000451.html b/dir_000947_000451.html similarity index 100% rename from dir_000945_000451.html rename to dir_000947_000451.html diff --git a/dir_000945_000703.html b/dir_000947_000704.html similarity index 55% rename from dir_000945_000703.html rename to dir_000947_000704.html index 0f3f02b02f4..58d58b242bf 100644 --- a/dir_000945_000703.html +++ b/dir_000947_000704.html @@ -89,7 +89,7 @@
    -

    src → pal Relation

    File in onert-micro/luci-interpreter/srcIncludes file in onert-micro/luci-interpreter/pal
    kernels / AddN.cppcommon / PALAddN.h
    kernels / ArgMax.cppcommon / PALArgMinMax.h
    kernels / ArgMin.cppcommon / PALArgMinMax.h
    kernels / BinaryOpCommon.hcommon / PALComparisons.h
    kernels / BinaryOpCommon.hcommon / Params.h
    kernels / Ceil.cppcommon / PALCeil.h
    kernels / ComparisonCommon.hcommon / PALComparisons.h
    kernels / Cos.cppmcu / PALCos.h
    kernels / Div.cppcommon / PALDiv.h
    kernels / Exp.cppcommon / PALExp.h
    kernels / Floor.cppmcu / PALFloor.h
    kernels / FloorDiv.cppmcu / PALFloorDiv.h
    kernels / FloorMod.cppmcu / PALFloorMod.h
    kernels / GatherND.cppcommon / PALGatherND.h
    kernels / LeakyRelu.cppcommon / PALReluCommon.h
    kernels / Log.cppcommon / PALLog.h
    kernels / LogicalAnd.cppcommon / PALLogicalCommon.h
    kernels / LogicalNot.cppmcu / PALLogicalNot.h
    kernels / LogicalOr.cppcommon / PALLogicalCommon.h
    kernels / Maximum.cppmcu / PALMaximum.h
    kernels / Mean.cppcommon / PALMean.h
    kernels / Minimum.cppmcu / PALMinimum.h
    kernels / MirrorPad.cppcommon / PALMirrorPad.h
    kernels / PadCommon.cppcommon / PALPad.h
    kernels / PRelu.cppcommon / PALPreluCommon.h
    kernels / ReduceCommon.cppcommon / PALReduceCommon.h
    kernels / ReduceMax.cppcommon / PALReduceCommon.h
    kernels / Relu.cppcommon / PALReluCommon.h
    kernels / Relu6.cppcommon / PALReluCommon.h
    kernels / Round.cppcommon / PALRound.h
    kernels / Rsqrt.cppcommon / PALRsqrt.h
    kernels / SelectV2.cppcommon / PALSelectV2.h
    kernels / Sin.cppmcu / PALSin.h
    kernels / Sqrt.cppcommon / PALSqrt.h
    kernels / Square.cppmcu / PALSquare.h
    kernels / SquaredDifference.cppcommon / PALSquaredDifference.h
    kernels / Sum.cppcommon / PALReduceCommon.h
    kernels / Tanh.cppcommon / PALTanh.h
    kernels / Transpose.cppcommon / PALTranspose.h
    kernels / TransposeConv.cppcommon / PALTransposeConv.h
    kernels / Utils.hcommon / Params.h
    +

    src → pal Relation

    File in onert-micro/luci-interpreter/srcIncludes file in onert-micro/luci-interpreter/pal
    kernels / AddN.cppcommon / PALAddN.h
    kernels / ArgMax.cppcommon / PALArgMinMax.h
    kernels / ArgMin.cppcommon / PALArgMinMax.h
    kernels / BinaryOpCommon.hcommon / PALComparisons.h
    kernels / BinaryOpCommon.hcommon / Params.h
    kernels / Ceil.cppcommon / PALCeil.h
    kernels / ComparisonCommon.hcommon / PALComparisons.h
    kernels / Cos.cppmcu / PALCos.h
    kernels / Div.cppcommon / PALDiv.h
    kernels / Exp.cppcommon / PALExp.h
    kernels / Floor.cppmcu / PALFloor.h
    kernels / FloorDiv.cppmcu / PALFloorDiv.h
    kernels / FloorMod.cppmcu / PALFloorMod.h
    kernels / GatherND.cppcommon / PALGatherND.h
    kernels / LeakyRelu.cppcommon / PALReluCommon.h
    kernels / Log.cppcommon / PALLog.h
    kernels / LogicalAnd.cppcommon / PALLogicalCommon.h
    kernels / LogicalNot.cppmcu / PALLogicalNot.h
    kernels / LogicalOr.cppcommon / PALLogicalCommon.h
    kernels / Maximum.cppmcu / PALMaximum.h
    kernels / Mean.cppcommon / PALMean.h
    kernels / Minimum.cppmcu / PALMinimum.h
    kernels / MirrorPad.cppcommon / PALMirrorPad.h
    kernels / PadCommon.cppcommon / PALPad.h
    kernels / PRelu.cppcommon / PALPreluCommon.h
    kernels / ReduceCommon.cppcommon / PALReduceCommon.h
    kernels / ReduceMax.cppcommon / PALReduceCommon.h
    kernels / Relu.cppcommon / PALReluCommon.h
    kernels / Relu6.cppcommon / PALReluCommon.h
    kernels / Round.cppcommon / PALRound.h
    kernels / Rsqrt.cppcommon / PALRsqrt.h
    kernels / SelectV2.cppcommon / PALSelectV2.h
    kernels / Sin.cppmcu / PALSin.h
    kernels / Sqrt.cppcommon / PALSqrt.h
    kernels / Square.cppmcu / PALSquare.h
    kernels / SquaredDifference.cppcommon / PALSquaredDifference.h
    kernels / Sum.cppcommon / PALReduceCommon.h
    kernels / Tanh.cppcommon / PALTanh.h
    kernels / Transpose.cppcommon / PALTranspose.h
    kernels / TransposeConv.cppcommon / PALTransposeConv.h
    kernels / Utils.hcommon / Params.h
    @@ -89,12 +89,12 @@
    -

    support → angkor Relation

    File in compiler/nnkit-mocotf/supportIncludes file in compiler/angkor
    src / Backend.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Backend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / InputTensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / InputTensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    src / OutputTensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / OutputTensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    src / TensorContext.hinclude / nncc / core / ADT / tensor / Shape.h
    +

    support → angkor Relation

    File in compiler/nnkit-caffe/supportIncludes file in compiler/angkor
    include / nnkit / support / caffe / TensorContext.hinclude / nncc / core / ADT / tensor / LexicalLayout.h
    include / nnkit / support / caffe / TensorContext.hinclude / nncc / core / ADT / tensor / Overlay.h
    diff --git a/dir_000972_000614.html b/dir_000974_000615.html similarity index 100% rename from dir_000972_000614.html rename to dir_000974_000615.html diff --git a/dir_000973_000027.html b/dir_000975_000027.html similarity index 100% rename from dir_000973_000027.html rename to dir_000975_000027.html diff --git a/dir_000973_000614.html b/dir_000975_000615.html similarity index 100% rename from dir_000973_000614.html rename to dir_000975_000615.html diff --git a/dir_000976_000027.html b/dir_000976_000027.html index 58fbecad7de..68abe553938 100644 --- a/dir_000976_000027.html +++ b/dir_000976_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-onnxrt/support -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-mocotf/support -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    support → angkor Relation

    File in compiler/nnkit-onnxrt/supportIncludes file in compiler/angkor
    include / nnkit / support / onnx / TensorContext.hinclude / nncc / core / ADT / tensor / LexicalLayout.h
    include / nnkit / support / onnx / TensorContext.hinclude / nncc / core / ADT / tensor / Overlay.h
    +

    support → angkor Relation

    File in compiler/nnkit-mocotf/supportIncludes file in compiler/angkor
    src / Backend.cppinclude / nncc / core / ADT / tensor / Buffer.h
    src / Backend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / InputTensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / InputTensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    src / OutputTensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / OutputTensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    src / TensorContext.hinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_000974_000455.html b/dir_000976_000455.html similarity index 100% rename from dir_000974_000455.html rename to dir_000976_000455.html diff --git a/dir_000974_000459.html b/dir_000976_000459.html similarity index 100% rename from dir_000974_000459.html rename to dir_000976_000459.html diff --git a/dir_000974_000560.html b/dir_000976_000561.html similarity index 100% rename from dir_000974_000560.html rename to dir_000976_000561.html diff --git a/dir_000974_000569.html b/dir_000976_000570.html similarity index 100% rename from dir_000974_000569.html rename to dir_000976_000570.html diff --git a/dir_000974_000614.html b/dir_000976_000615.html similarity index 100% rename from dir_000974_000614.html rename to dir_000976_000615.html diff --git a/dir_000974_001002.html b/dir_000976_001004.html similarity index 100% rename from dir_000974_001002.html rename to dir_000976_001004.html diff --git a/dir_000975_000455.html b/dir_000977_000455.html similarity index 100% rename from dir_000975_000455.html rename to dir_000977_000455.html diff --git a/dir_000975_000459.html b/dir_000977_000459.html similarity index 100% rename from dir_000975_000459.html rename to dir_000977_000459.html diff --git a/dir_000975_000614.html b/dir_000977_000615.html similarity index 100% rename from dir_000975_000614.html rename to dir_000977_000615.html diff --git a/dir_000975_001002.html b/dir_000977_001004.html similarity index 100% rename from dir_000975_001002.html rename to dir_000977_001004.html diff --git a/dir_000978_000027.html b/dir_000978_000027.html index 1b6ff1dd553..58fbecad7de 100644 --- a/dir_000978_000027.html +++ b/dir_000978_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-tf/support -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-onnxrt/support -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    support → angkor Relation

    File in compiler/nnkit-tf/supportIncludes file in compiler/angkor
    src / Backend.cppinclude / angkor / TensorShape.h
    src / Runner.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / TensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / TensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    include / nnkit / support / tf / Runner.hinclude / angkor / TensorShape.h
    +

    support → angkor Relation

    File in compiler/nnkit-onnxrt/supportIncludes file in compiler/angkor
    include / nnkit / support / onnx / TensorContext.hinclude / nncc / core / ADT / tensor / LexicalLayout.h
    include / nnkit / support / onnx / TensorContext.hinclude / nncc / core / ADT / tensor / Overlay.h
    diff --git a/dir_000976_000614.html b/dir_000978_000615.html similarity index 100% rename from dir_000976_000614.html rename to dir_000978_000615.html diff --git a/dir_000979_000027.html b/dir_000979_000027.html index 5567128885f..213b2020792 100644 --- a/dir_000979_000027.html +++ b/dir_000979_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-tf/support/include/nnkit/support -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-onnxrt/support/include/nnkit/support -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    support → angkor Relation

    File in compiler/nnkit-tf/support/include/nnkit/supportIncludes file in compiler/angkor
    tf / Runner.hinclude / angkor / TensorShape.h
    +

    support → angkor Relation

    File in compiler/nnkit-onnxrt/support/include/nnkit/supportIncludes file in compiler/angkor
    onnx / TensorContext.hinclude / nncc / core / ADT / tensor / LexicalLayout.h
    onnx / TensorContext.hinclude / nncc / core / ADT / tensor / Overlay.h
    diff --git a/dir_000977_000614.html b/dir_000979_000615.html similarity index 100% rename from dir_000977_000614.html rename to dir_000979_000615.html diff --git a/dir_000980_000027.html b/dir_000980_000027.html index 86eb0954d7e..1b6ff1dd553 100644 --- a/dir_000980_000027.html +++ b/dir_000980_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-tflite/support -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-tf/support -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    support → angkor Relation

    File in compiler/nnkit-tflite/supportIncludes file in compiler/angkor
    src / TensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / TensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    include / nnkit / support / tflite / TensorUtils.hinclude / nncc / core / ADT / tensor / Shape.h
    +

    support → angkor Relation

    File in compiler/nnkit-tf/supportIncludes file in compiler/angkor
    src / Backend.cppinclude / angkor / TensorShape.h
    src / Runner.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / TensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / TensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    include / nnkit / support / tf / Runner.hinclude / angkor / TensorShape.h
    diff --git a/dir_000978_000614.html b/dir_000980_000615.html similarity index 100% rename from dir_000978_000614.html rename to dir_000980_000615.html diff --git a/dir_000978_001002.html b/dir_000980_001004.html similarity index 100% rename from dir_000978_001002.html rename to dir_000980_001004.html diff --git a/dir_000981_000027.html b/dir_000981_000027.html index 304c6267b8f..5567128885f 100644 --- a/dir_000981_000027.html +++ b/dir_000981_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-tflite/support/include/nnkit/support -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-tf/support/include/nnkit/support -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    support → angkor Relation

    File in compiler/nnkit-tflite/support/include/nnkit/supportIncludes file in compiler/angkor
    tflite / TensorUtils.hinclude / nncc / core / ADT / tensor / Shape.h
    +

    support → angkor Relation

    File in compiler/nnkit-tf/support/include/nnkit/supportIncludes file in compiler/angkor
    tf / Runner.hinclude / angkor / TensorShape.h
    diff --git a/dir_000979_000614.html b/dir_000981_000615.html similarity index 100% rename from dir_000979_000614.html rename to dir_000981_000615.html diff --git a/dir_000979_001002.html b/dir_000981_001004.html similarity index 100% rename from dir_000979_001002.html rename to dir_000981_001004.html diff --git a/dir_000982_000027.html b/dir_000982_000027.html index 4f77fb2221a..86eb0954d7e 100644 --- a/dir_000982_000027.html +++ b/dir_000982_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tfinfo/include/nnkit/support -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-tflite/support -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    support → angkor Relation

    File in compiler/tfinfo/include/nnkit/supportIncludes file in compiler/angkor
    tftestinfo / ParsedTensor.hinclude / nncc / core / ADT / tensor / Shape.h
    +

    support → angkor Relation

    File in compiler/nnkit-tflite/supportIncludes file in compiler/angkor
    src / TensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / TensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    include / nnkit / support / tflite / TensorUtils.hinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_000980_000614.html b/dir_000982_000615.html similarity index 100% rename from dir_000980_000614.html rename to dir_000982_000615.html diff --git a/dir_000914_000027.html b/dir_000983_000027.html similarity index 69% rename from dir_000914_000027.html rename to dir_000983_000027.html index 5728f91129d..304c6267b8f 100644 --- a/dir_000914_000027.html +++ b/dir_000983_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-tflite/support/src -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-tflite/support/include/nnkit/support -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    src → angkor Relation

    File in compiler/nnkit-tflite/support/srcIncludes file in compiler/angkor
    TensorContext.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    TensorContext.cppinclude / nncc / core / ADT / tensor / Overlay.h
    +

    support → angkor Relation

    File in compiler/nnkit-tflite/support/include/nnkit/supportIncludes file in compiler/angkor
    tflite / TensorUtils.hinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_000981_000614.html b/dir_000983_000615.html similarity index 100% rename from dir_000981_000614.html rename to dir_000983_000615.html diff --git a/dir_000984_000027.html b/dir_000984_000027.html new file mode 100644 index 00000000000..4f77fb2221a --- /dev/null +++ b/dir_000984_000027.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/tfinfo/include/nnkit/support -> angkor Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    support → angkor Relation

    File in compiler/tfinfo/include/nnkit/supportIncludes file in compiler/angkor
    tftestinfo / ParsedTensor.hinclude / nncc / core / ADT / tensor / Shape.h
    +
    + + + + diff --git a/dir_000982_000656.html b/dir_000984_000657.html similarity index 100% rename from dir_000982_000656.html rename to dir_000984_000657.html diff --git a/dir_000986_000284.html b/dir_000988_000284.html similarity index 100% rename from dir_000986_000284.html rename to dir_000988_000284.html diff --git a/dir_000987_000027.html b/dir_000989_000027.html similarity index 100% rename from dir_000987_000027.html rename to dir_000989_000027.html diff --git a/dir_000989_000391.html b/dir_000991_000391.html similarity index 100% rename from dir_000989_000391.html rename to dir_000991_000391.html diff --git a/dir_000992_000228.html b/dir_000994_000228.html similarity index 100% rename from dir_000992_000228.html rename to dir_000994_000228.html diff --git a/dir_000992_000244.html b/dir_000994_000244.html similarity index 100% rename from dir_000992_000244.html rename to dir_000994_000244.html diff --git a/dir_000992_000277.html b/dir_000994_000277.html similarity index 100% rename from dir_000992_000277.html rename to dir_000994_000277.html diff --git a/dir_000992_000478.html b/dir_000994_000478.html similarity index 100% rename from dir_000992_000478.html rename to dir_000994_000478.html diff --git a/dir_000992_000656.html b/dir_000994_000657.html similarity index 100% rename from dir_000992_000656.html rename to dir_000994_000657.html diff --git a/dir_000992_000707.html b/dir_000994_000708.html similarity index 100% rename from dir_000992_000707.html rename to dir_000994_000708.html diff --git a/dir_000992_000797.html b/dir_000994_000798.html similarity index 100% rename from dir_000992_000797.html rename to dir_000994_000798.html diff --git a/dir_000993_000404.html b/dir_000995_000404.html similarity index 100% rename from dir_000993_000404.html rename to dir_000995_000404.html diff --git a/dir_000993_000448.html b/dir_000995_000448.html similarity index 100% rename from dir_000993_000448.html rename to dir_000995_000448.html diff --git a/dir_000995_000455.html b/dir_000995_000455.html deleted file mode 100644 index dee81628648..00000000000 --- a/dir_000995_000455.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/nnkit-mocotf/support/include/nnkit/support/moco/tf -> loco Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    tf → loco Relation

    File in compiler/nnkit-mocotf/support/include/nnkit/support/moco/tfIncludes file in compiler/loco
    Backend.hinclude / loco / IR / Graph.h
    -
    - - - - diff --git a/dir_000996_000027.html b/dir_000996_000027.html deleted file mode 100644 index 57fd535e384..00000000000 --- a/dir_000996_000027.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/nnkit-tf/support/include/nnkit/support/tf -> angkor Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    tf → angkor Relation

    File in compiler/nnkit-tf/support/include/nnkit/support/tfIncludes file in compiler/angkor
    Runner.hinclude / angkor / TensorShape.h
    -
    - - - - diff --git a/dir_000994_000455.html b/dir_000996_000455.html similarity index 100% rename from dir_000994_000455.html rename to dir_000996_000455.html diff --git a/dir_000994_000560.html b/dir_000996_000561.html similarity index 100% rename from dir_000994_000560.html rename to dir_000996_000561.html diff --git a/dir_000997_000455.html b/dir_000997_000455.html index c77a7af5481..dee81628648 100644 --- a/dir_000997_000455.html +++ b/dir_000997_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/plier-tf/include/plier/tf -> loco Relation +ONE - On-device Neural Engine: compiler/nnkit-mocotf/support/include/nnkit/support/moco/tf -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf → loco Relation

    File in compiler/plier-tf/include/plier/tfIncludes file in compiler/loco
    Convert.hinclude / loco.h
    +

    tf → loco Relation

    File in compiler/nnkit-mocotf/support/include/nnkit/support/moco/tfIncludes file in compiler/loco
    Backend.hinclude / loco / IR / Graph.h
    diff --git a/dir_000995_000459.html b/dir_000997_000459.html similarity index 100% rename from dir_000995_000459.html rename to dir_000997_000459.html diff --git a/dir_000995_000614.html b/dir_000997_000615.html similarity index 100% rename from dir_000995_000614.html rename to dir_000997_000615.html diff --git a/dir_000995_001002.html b/dir_000997_001004.html similarity index 100% rename from dir_000995_001002.html rename to dir_000997_001004.html diff --git a/dir_000998_000027.html b/dir_000998_000027.html index dd2a19c2980..57fd535e384 100644 --- a/dir_000998_000027.html +++ b/dir_000998_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2circle -> angkor Relation +ONE - On-device Neural Engine: compiler/nnkit-tf/support/include/nnkit/support/tf -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2circle → angkor Relation

    File in compiler/tf2circleIncludes file in compiler/angkor
    src / CustomopConfLoader.cppinclude / angkor / TensorShape.h
    +

    tf → angkor Relation

    File in compiler/nnkit-tf/support/include/nnkit/support/tfIncludes file in compiler/angkor
    Runner.hinclude / angkor / TensorShape.h
    diff --git a/dir_000996_000614.html b/dir_000998_000615.html similarity index 100% rename from dir_000996_000614.html rename to dir_000998_000615.html diff --git a/dir_000996_001002.html b/dir_000998_001004.html similarity index 100% rename from dir_000996_001002.html rename to dir_000998_001004.html diff --git a/dir_000997_000027.html b/dir_000999_000027.html similarity index 100% rename from dir_000997_000027.html rename to dir_000999_000027.html diff --git a/dir_000737_000455.html b/dir_000999_000455.html similarity index 85% rename from dir_000737_000455.html rename to dir_000999_000455.html index 263798f8c06..c77a7af5481 100644 --- a/dir_000737_000455.html +++ b/dir_000999_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/plier-tf/include/plier -> loco Relation +ONE - On-device Neural Engine: compiler/plier-tf/include/plier/tf -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    plier → loco Relation

    File in compiler/plier-tf/include/plierIncludes file in compiler/loco
    tf / Convert.hinclude / loco.h
    +

    tf → loco Relation

    File in compiler/plier-tf/include/plier/tfIncludes file in compiler/loco
    Convert.hinclude / loco.h
    diff --git a/dir_001000_000027.html b/dir_001000_000027.html index 2dad6fd112b..dd2a19c2980 100644 --- a/dir_001000_000027.html +++ b/dir_001000_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite -> angkor Relation +ONE - On-device Neural Engine: compiler/tf2circle -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2tflite → angkor Relation

    File in compiler/tf2tfliteIncludes file in compiler/angkor
    src / CustomopConfLoader.cppinclude / angkor / TensorShape.h
    +

    tf2circle → angkor Relation

    File in compiler/tf2circleIncludes file in compiler/angkor
    src / CustomopConfLoader.cppinclude / angkor / TensorShape.h
    diff --git a/dir_001000_000167.html b/dir_001000_000167.html index 4c9c73fd333..05418234f4d 100644 --- a/dir_001000_000167.html +++ b/dir_001000_000167.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite -> cwrap Relation +ONE - On-device Neural Engine: compiler/tf2circle -> cwrap Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2tflite → cwrap Relation

    File in compiler/tf2tfliteIncludes file in compiler/cwrap
    src / CustomopConfLoader.cppinclude / cwrap / Fildes.h
    +

    tf2circle → cwrap Relation

    File in compiler/tf2circleIncludes file in compiler/cwrap
    src / CustomopConfLoader.cppinclude / cwrap / Fildes.h
    diff --git a/dir_001000_000224.html b/dir_001000_000224.html index 1ff63b9caf0..b89c19d8cb3 100644 --- a/dir_001000_000224.html +++ b/dir_001000_000224.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite -> exo Relation +ONE - On-device Neural Engine: compiler/tf2circle -> exo Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2tflite → exo Relation

    File in compiler/tf2tfliteIncludes file in compiler/exo
    src / Driver.cppinclude / exo / LoggingContext.h
    src / Driver.cppinclude / exo / TFLExporter.h
    +

    tf2circle → exo Relation

    File in compiler/tf2circleIncludes file in compiler/exo
    src / tf2circle.cppinclude / exo / CircleExporter.h
    src / tf2circle.cppinclude / exo / LoggingContext.h
    diff --git a/dir_001000_000272.html b/dir_001000_000272.html index f7bd3a341f5..fd4391d12b2 100644 --- a/dir_001000_000272.html +++ b/dir_001000_000272.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite -> hermes-std Relation +ONE - On-device Neural Engine: compiler/tf2circle -> hermes-std Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2tflite → hermes-std Relation

    File in compiler/tf2tfliteIncludes file in compiler/hermes-std
    src / Driver.cppinclude / hermes / ConsoleReporter.h
    src / Driver.cppinclude / hermes / EnvConfig.h
    +

    tf2circle → hermes-std Relation

    File in compiler/tf2circleIncludes file in compiler/hermes-std
    src / tf2circle.cppinclude / hermes / ConsoleReporter.h
    src / tf2circle.cppinclude / hermes / EnvConfig.h
    diff --git a/dir_001000_000455.html b/dir_001000_000455.html index 50ba349d5b4..f79f40098c0 100644 --- a/dir_001000_000455.html +++ b/dir_001000_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite -> loco Relation +ONE - On-device Neural Engine: compiler/tf2circle -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2tflite → loco Relation

    File in compiler/tf2tfliteIncludes file in compiler/loco
    src / CustomopConfLoader.cppinclude / loco.h
    +

    tf2circle → loco Relation

    File in compiler/tf2circleIncludes file in compiler/loco
    src / CustomopConfLoader.cppinclude / loco.h
    diff --git a/dir_001000_000461.html b/dir_001000_000461.html index 299690f6f65..67027745648 100644 --- a/dir_001000_000461.html +++ b/dir_001000_000461.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite -> locop Relation +ONE - On-device Neural Engine: compiler/tf2circle -> locop Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2tflite → locop Relation

    File in compiler/tf2tfliteIncludes file in compiler/locop
    src / Driver.cppinclude / locop / FormattedGraph.h
    +

    tf2circle → locop Relation

    File in compiler/tf2circleIncludes file in compiler/locop
    src / tf2circle.cppinclude / locop / FormattedGraph.h
    diff --git a/dir_001000_000569.html b/dir_001000_000569.html index fed0169e289..8f3a2664fa4 100644 --- a/dir_001000_000569.html +++ b/dir_001000_000569.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2tflite -> moco-tf Relation +ONE - On-device Neural Engine: compiler/tf2circle -> moco-log Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2tflite → moco-tf Relation

    File in compiler/tf2tfliteIncludes file in compiler/moco-tf
    src / CustomopConfLoader.hinclude / moco / tf / Frontend.h
    src / Driver.cppinclude / moco / tf / Frontend.h
    +

    tf2circle → moco-log Relation

    File in compiler/tf2circleIncludes file in compiler/moco-log
    src / tf2circle.cppinclude / moco / LoggingContext.h
    diff --git a/dir_000998_000569.html b/dir_001000_000570.html similarity index 100% rename from dir_000998_000569.html rename to dir_001000_000570.html diff --git a/dir_000998_001002.html b/dir_001000_001004.html similarity index 100% rename from dir_000998_001002.html rename to dir_001000_001004.html diff --git a/dir_000999_000224.html b/dir_001001_000224.html similarity index 100% rename from dir_000999_000224.html rename to dir_001001_000224.html diff --git a/dir_000999_000272.html b/dir_001001_000272.html similarity index 100% rename from dir_000999_000272.html rename to dir_001001_000272.html diff --git a/dir_000999_000461.html b/dir_001001_000461.html similarity index 100% rename from dir_000999_000461.html rename to dir_001001_000461.html diff --git a/dir_000999_000568.html b/dir_001001_000569.html similarity index 100% rename from dir_000999_000568.html rename to dir_001001_000569.html diff --git a/dir_000999_000569.html b/dir_001001_000570.html similarity index 100% rename from dir_000999_000569.html rename to dir_001001_000570.html diff --git a/dir_000999_001002.html b/dir_001001_001004.html similarity index 100% rename from dir_000999_001002.html rename to dir_001001_001004.html diff --git a/dir_001002_000027.html b/dir_001002_000027.html index f4cd2325e5e..2dad6fd112b 100644 --- a/dir_001002_000027.html +++ b/dir_001002_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tfinfo -> angkor Relation +ONE - On-device Neural Engine: compiler/tf2tflite -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tfinfo → angkor Relation

    File in compiler/tfinfoIncludes file in compiler/angkor
    src / TensorInfoParser.cppinclude / nncc / core / ADT / tensor / Shape.h
    include / nnkit / support / tftestinfo / ParsedTensor.hinclude / nncc / core / ADT / tensor / Shape.h
    +

    tf2tflite → angkor Relation

    File in compiler/tf2tfliteIncludes file in compiler/angkor
    src / CustomopConfLoader.cppinclude / angkor / TensorShape.h
    diff --git a/dir_000998_000167.html b/dir_001002_000167.html similarity index 87% rename from dir_000998_000167.html rename to dir_001002_000167.html index 05418234f4d..4c9c73fd333 100644 --- a/dir_000998_000167.html +++ b/dir_001002_000167.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2circle -> cwrap Relation +ONE - On-device Neural Engine: compiler/tf2tflite -> cwrap Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2circle → cwrap Relation

    File in compiler/tf2circleIncludes file in compiler/cwrap
    src / CustomopConfLoader.cppinclude / cwrap / Fildes.h
    +

    tf2tflite → cwrap Relation

    File in compiler/tf2tfliteIncludes file in compiler/cwrap
    src / CustomopConfLoader.cppinclude / cwrap / Fildes.h
    diff --git a/dir_001002_000224.html b/dir_001002_000224.html new file mode 100644 index 00000000000..1ff63b9caf0 --- /dev/null +++ b/dir_001002_000224.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/tf2tflite -> exo Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    tf2tflite → exo Relation

    File in compiler/tf2tfliteIncludes file in compiler/exo
    src / Driver.cppinclude / exo / LoggingContext.h
    src / Driver.cppinclude / exo / TFLExporter.h
    +
    + + + + diff --git a/dir_001002_000272.html b/dir_001002_000272.html new file mode 100644 index 00000000000..f7bd3a341f5 --- /dev/null +++ b/dir_001002_000272.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/tf2tflite -> hermes-std Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    tf2tflite → hermes-std Relation

    File in compiler/tf2tfliteIncludes file in compiler/hermes-std
    src / Driver.cppinclude / hermes / ConsoleReporter.h
    src / Driver.cppinclude / hermes / EnvConfig.h
    +
    + + + + diff --git a/dir_000998_000455.html b/dir_001002_000455.html similarity index 87% rename from dir_000998_000455.html rename to dir_001002_000455.html index f79f40098c0..50ba349d5b4 100644 --- a/dir_000998_000455.html +++ b/dir_001002_000455.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tf2circle -> loco Relation +ONE - On-device Neural Engine: compiler/tf2tflite -> loco Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tf2circle → loco Relation

    File in compiler/tf2circleIncludes file in compiler/loco
    src / CustomopConfLoader.cppinclude / loco.h
    +

    tf2tflite → loco Relation

    File in compiler/tf2tfliteIncludes file in compiler/loco
    src / CustomopConfLoader.cppinclude / loco.h
    diff --git a/dir_001002_000461.html b/dir_001002_000461.html new file mode 100644 index 00000000000..299690f6f65 --- /dev/null +++ b/dir_001002_000461.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/tf2tflite -> locop Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    tf2tflite → locop Relation

    File in compiler/tf2tfliteIncludes file in compiler/locop
    src / Driver.cppinclude / locop / FormattedGraph.h
    +
    + + + + diff --git a/dir_001000_000568.html b/dir_001002_000569.html similarity index 100% rename from dir_001000_000568.html rename to dir_001002_000569.html diff --git a/dir_001006_000244.html b/dir_001002_000570.html similarity index 70% rename from dir_001006_000244.html rename to dir_001002_000570.html index 40d69c02f60..fed0169e289 100644 --- a/dir_001006_000244.html +++ b/dir_001002_000570.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tfl-inspect -> foder Relation +ONE - On-device Neural Engine: compiler/tf2tflite -> moco-tf Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tfl-inspect → foder Relation

    File in compiler/tfl-inspectIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    +

    tf2tflite → moco-tf Relation

    File in compiler/tf2tfliteIncludes file in compiler/moco-tf
    src / CustomopConfLoader.hinclude / moco / tf / Frontend.h
    src / Driver.cppinclude / moco / tf / Frontend.h
    diff --git a/dir_001000_001002.html b/dir_001002_001004.html similarity index 100% rename from dir_001000_001002.html rename to dir_001002_001004.html diff --git a/dir_001022_000037.html b/dir_001004_000027.html similarity index 63% rename from dir_001022_000037.html rename to dir_001004_000027.html index 71bbdc3d106..f4cd2325e5e 100644 --- a/dir_001022_000037.html +++ b/dir_001004_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/circlechef/tools -> arser Relation +ONE - On-device Neural Engine: compiler/tfinfo -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tools → arser Relation

    File in compiler/circlechef/toolsIncludes file in compiler/arser
    file / Driver.cppinclude / arser / arser.h
    reverse / Driver.cppinclude / arser / arser.h
    +

    tfinfo → angkor Relation

    File in compiler/tfinfoIncludes file in compiler/angkor
    src / TensorInfoParser.cppinclude / nncc / core / ADT / tensor / Shape.h
    include / nnkit / support / tftestinfo / ParsedTensor.hinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_001002_000656.html b/dir_001004_000657.html similarity index 100% rename from dir_001002_000656.html rename to dir_001004_000657.html diff --git a/dir_001003_000656.html b/dir_001005_000657.html similarity index 100% rename from dir_001003_000656.html rename to dir_001005_000657.html diff --git a/dir_001005_000105.html b/dir_001007_000105.html similarity index 82% rename from dir_001005_000105.html rename to dir_001007_000105.html index 2b35702a5c8..9634cd81e84 100644 --- a/dir_001005_000105.html +++ b/dir_001007_000105.html @@ -89,7 +89,7 @@
    -

    tfkit → cli Relation

    File in compiler/tfkitIncludes file in compiler/cli
    src / ConvertCommand.hppinclude / cli / Command.h
    src / DecodeCommand.hppinclude / cli / Command.h
    src / EncodeCommand.hppinclude / cli / Command.h
    src / Main.cppinclude / cli / App.h
    src / PackCommand.hppinclude / cli / Command.h
    src / UnpackCommand.hppinclude / cli / Command.h
    +

    tfkit → cli Relation

    File in compiler/tfkitIncludes file in compiler/cli
    src / ConvertCommand.hppinclude / cli / Command.h
    src / DecodeCommand.hppinclude / cli / Command.h
    src / EncodeCommand.hppinclude / cli / Command.h
    src / Main.cppinclude / cli / App.h
    src / PackCommand.hppinclude / cli / Command.h
    src / UnpackCommand.hppinclude / cli / Command.h
    @@ -89,12 +89,12 @@
    -

    tflchef → arser Relation

    File in compiler/tflchefIncludes file in compiler/arser
    tools / file / Driver.cppinclude / arser / arser.h
    tools / reverse / Driver.cppinclude / arser / arser.h
    +

    tfl-inspect → arser Relation

    File in compiler/tfl-inspectIncludes file in compiler/arser
    driver / Driver.cppinclude / arser / arser.h
    diff --git a/dir_001008_000244.html b/dir_001008_000244.html index 746195db154..40d69c02f60 100644 --- a/dir_001008_000244.html +++ b/dir_001008_000244.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tflchef -> foder Relation +ONE - On-device Neural Engine: compiler/tfl-inspect -> foder Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tflchef → foder Relation

    File in compiler/tflchefIncludes file in compiler/foder
    tools / reverse / Driver.cppinclude / foder / FileLoader.h
    +

    tfl-inspect → foder Relation

    File in compiler/tfl-inspectIncludes file in compiler/foder
    driver / Driver.cppinclude / foder / FileLoader.h
    diff --git a/dir_001006_000530.html b/dir_001008_000531.html similarity index 100% rename from dir_001006_000530.html rename to dir_001008_000531.html diff --git a/dir_001007_000037.html b/dir_001009_000037.html similarity index 100% rename from dir_001007_000037.html rename to dir_001009_000037.html diff --git a/dir_001007_000244.html b/dir_001009_000244.html similarity index 100% rename from dir_001007_000244.html rename to dir_001009_000244.html diff --git a/dir_001010_000037.html b/dir_001010_000037.html new file mode 100644 index 00000000000..c0eef04b2fb --- /dev/null +++ b/dir_001010_000037.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/tflchef -> arser Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    tflchef → arser Relation

    File in compiler/tflchefIncludes file in compiler/arser
    tools / file / Driver.cppinclude / arser / arser.h
    tools / reverse / Driver.cppinclude / arser / arser.h
    +
    + + + + diff --git a/dir_001010_000244.html b/dir_001010_000244.html new file mode 100644 index 00000000000..746195db154 --- /dev/null +++ b/dir_001010_000244.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/tflchef -> foder Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    tflchef → foder Relation

    File in compiler/tflchefIncludes file in compiler/foder
    tools / reverse / Driver.cppinclude / foder / FileLoader.h
    +
    + + + + diff --git a/dir_001008_000270.html b/dir_001010_000270.html similarity index 100% rename from dir_001008_000270.html rename to dir_001010_000270.html diff --git a/dir_001008_000272.html b/dir_001010_000272.html similarity index 100% rename from dir_001008_000272.html rename to dir_001010_000272.html diff --git a/dir_001008_000530.html b/dir_001010_000531.html similarity index 100% rename from dir_001008_000530.html rename to dir_001010_000531.html diff --git a/dir_001008_000648.html b/dir_001010_000649.html similarity index 100% rename from dir_001008_000648.html rename to dir_001010_000649.html diff --git a/dir_001008_000812.html b/dir_001010_000814.html similarity index 100% rename from dir_001008_000812.html rename to dir_001010_000814.html diff --git a/dir_001013_000027.html b/dir_001013_000027.html deleted file mode 100644 index e7de5fe5c75..00000000000 --- a/dir_001013_000027.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/enco/frontend/tflite -> angkor Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    tflite → angkor Relation

    File in compiler/enco/frontend/tfliteIncludes file in compiler/angkor
    src / Op / Activation.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / AveragePool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Concatenation.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Context.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Convert.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Div.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Padding.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Padding.hinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / ReLU.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / ReLU6.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Sub.cppinclude / nncc / core / ADT / tensor / Shape.h
    -
    - - - - diff --git a/dir_001011_000037.html b/dir_001013_000037.html similarity index 100% rename from dir_001011_000037.html rename to dir_001013_000037.html diff --git a/dir_001013_000114.html b/dir_001013_000114.html deleted file mode 100644 index 3bd31886120..00000000000 --- a/dir_001013_000114.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: compiler/enco/frontend/tflite -> coco Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - -
    -

    tflite → coco Relation

    File in compiler/enco/frontend/tfliteIncludes file in compiler/coco
    src / Op / Activation.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / Activation.cppcore / include / coco / IR / Module.h
    src / Op / Activation.hcore / include / coco / IR / Block.h
    src / Op / Activation.hcore / include / coco / IR / FeatureObject.h
    src / Op / AveragePool2D.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / AveragePool2D.cppcore / include / coco / IR / Module.h
    src / Op / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / Concatenation.cppcore / include / coco / IR / Module.h
    src / Context.cppgeneric / include / coco / IR / Data.h
    src / Context.cppcore / include / coco / IR / Module.h
    src / Context.hgeneric / include / coco / IR / Data.h
    src / Context.hcore / include / coco / IR / Module.h
    src / Op / Conv2D.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / Conv2D.cppcore / include / coco / IR / KernelLayouts.h
    src / Op / Conv2D.cppcore / include / coco / IR / Module.h
    src / Op / DepthwiseConv2D.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / DepthwiseConv2D.cppcore / include / coco / IR / KernelLayouts.h
    src / Op / DepthwiseConv2D.cppcore / include / coco / IR / Module.h
    src / Op / Div.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / Div.cppcore / include / coco / IR / Module.h
    src / IRBuilder.hcore / include / coco / IR / Module.h
    src / Op / MaxPool2D.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / MaxPool2D.cppcore / include / coco / IR / Module.h
    src / Op / Padding.cppgeneric / include / coco / IR / Data.h
    src / Op / Padding.cppcore / include / coco / IR / Module.h
    src / Op / Padding.hcore / include / coco / IR / Padding2D.h
    src / Op / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / ReLU.cppcore / include / coco / IR / Module.h
    src / Op / ReLU6.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / ReLU6.cppcore / include / coco / IR / Module.h
    src / Op / Reshape.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / Reshape.cppcore / include / coco / IR / Module.h
    src / Op / Sub.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / Sub.cppcore / include / coco / IR / Module.h
    src / TensorBags.hgeneric / include / coco / IR / Data.h
    src / TensorBags.hcore / include / coco / IR / Module.h
    -
    - - - - diff --git a/dir_001011_000244.html b/dir_001013_000244.html similarity index 100% rename from dir_001011_000244.html rename to dir_001013_000244.html diff --git a/dir_001011_000530.html b/dir_001013_000531.html similarity index 100% rename from dir_001011_000530.html rename to dir_001013_000531.html diff --git a/dir_001011_000648.html b/dir_001013_000649.html similarity index 100% rename from dir_001011_000648.html rename to dir_001013_000649.html diff --git a/dir_001015_000027.html b/dir_001015_000027.html index 87abaed5c51..3bb421cfdea 100644 --- a/dir_001015_000027.html +++ b/dir_001015_000027.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/nnkit-tflite/support/include/nnkit/support/tflite -> angkor Relation +ONE - On-device Neural Engine: compiler/enco/frontend/tflite -> angkor Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tflite → angkor Relation

    File in compiler/nnkit-tflite/support/include/nnkit/support/tfliteIncludes file in compiler/angkor
    TensorUtils.hinclude / nncc / core / ADT / tensor / Shape.h
    +

    tflite → angkor Relation

    File in compiler/enco/frontend/tfliteIncludes file in compiler/angkor
    src / Op / Activation.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / AveragePool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Concatenation.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Context.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Conv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Convert.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Convert.hinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / DepthwiseConv2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Div.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Frontend.cppinclude / nncc / core / ADT / tensor / LexicalLayout.h
    src / Frontend.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / MaxPool2D.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Padding.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Padding.hinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / ReLU.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / ReLU6.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Reshape.cppinclude / nncc / core / ADT / tensor / Shape.h
    src / Op / Sub.cppinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_001015_000114.html b/dir_001015_000114.html new file mode 100644 index 00000000000..2e086be97ed --- /dev/null +++ b/dir_001015_000114.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/enco/frontend/tflite -> coco Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    tflite → coco Relation

    File in compiler/enco/frontend/tfliteIncludes file in compiler/coco
    src / Op / Activation.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / Activation.cppcore / include / coco / IR / Module.h
    src / Op / Activation.hcore / include / coco / IR / Block.h
    src / Op / Activation.hcore / include / coco / IR / FeatureObject.h
    src / Op / AveragePool2D.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / AveragePool2D.cppcore / include / coco / IR / Module.h
    src / Op / Concatenation.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / Concatenation.cppcore / include / coco / IR / Module.h
    src / Context.cppgeneric / include / coco / IR / Data.h
    src / Context.cppcore / include / coco / IR / Module.h
    src / Context.hgeneric / include / coco / IR / Data.h
    src / Context.hcore / include / coco / IR / Module.h
    src / Op / Conv2D.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / Conv2D.cppcore / include / coco / IR / KernelLayouts.h
    src / Op / Conv2D.cppcore / include / coco / IR / Module.h
    src / Op / DepthwiseConv2D.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / DepthwiseConv2D.cppcore / include / coco / IR / KernelLayouts.h
    src / Op / DepthwiseConv2D.cppcore / include / coco / IR / Module.h
    src / Op / Div.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / Div.cppcore / include / coco / IR / Module.h
    src / IRBuilder.hcore / include / coco / IR / Module.h
    src / Op / MaxPool2D.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / MaxPool2D.cppcore / include / coco / IR / Module.h
    src / Op / Padding.cppgeneric / include / coco / IR / Data.h
    src / Op / Padding.cppcore / include / coco / IR / Module.h
    src / Op / Padding.hcore / include / coco / IR / Padding2D.h
    src / Op / ReLU.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / ReLU.cppcore / include / coco / IR / Module.h
    src / Op / ReLU6.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / ReLU6.cppcore / include / coco / IR / Module.h
    src / Op / Reshape.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / Reshape.cppcore / include / coco / IR / Module.h
    src / Op / Sub.cppcore / include / coco / IR / FeatureLayouts.h
    src / Op / Sub.cppcore / include / coco / IR / Module.h
    src / TensorBags.hgeneric / include / coco / IR / Data.h
    src / TensorBags.hcore / include / coco / IR / Module.h
    +
    + + + + diff --git a/dir_001013_000167.html b/dir_001015_000167.html similarity index 100% rename from dir_001013_000167.html rename to dir_001015_000167.html diff --git a/dir_001013_000212.html b/dir_001015_000212.html similarity index 100% rename from dir_001013_000212.html rename to dir_001015_000212.html diff --git a/dir_001013_000572.html b/dir_001015_000573.html similarity index 60% rename from dir_001013_000572.html rename to dir_001015_000573.html index bd36e5be676..437165f78b7 100644 --- a/dir_001013_000572.html +++ b/dir_001015_000573.html @@ -89,7 +89,7 @@
    -

    tflite → morph Relation

    File in compiler/enco/frontend/tfliteIncludes file in compiler/morph
    src / Op / AveragePool2D.cppinclude / morph / tflite.h
    src / Op / Conv2D.cppinclude / morph / tflite.h
    src / Op / DepthwiseConv2D.cppinclude / morph / tflite.h
    src / Op / Div.cppinclude / morph / tflite.h
    src / Op / MaxPool2D.cppinclude / morph / tflite.h
    src / Op / ReLU.cppinclude / morph / tflite.h
    src / Op / ReLU6.cppinclude / morph / tflite.h
    src / Op / Reshape.cppinclude / morph / tflite.h
    src / Op / Sub.cppinclude / morph / tflite.h
    +

    tflite → morph Relation

    File in compiler/enco/frontend/tfliteIncludes file in compiler/morph
    src / Op / AveragePool2D.cppinclude / morph / tflite.h
    src / Op / Conv2D.cppinclude / morph / tflite.h
    src / Op / DepthwiseConv2D.cppinclude / morph / tflite.h
    src / Op / Div.cppinclude / morph / tflite.h
    src / Op / MaxPool2D.cppinclude / morph / tflite.h
    src / Op / ReLU.cppinclude / morph / tflite.h
    src / Op / ReLU6.cppinclude / morph / tflite.h
    src / Op / Reshape.cppinclude / morph / tflite.h
    src / Op / Sub.cppinclude / morph / tflite.h
    @@ -89,12 +89,12 @@
    -

    nnkit → nnkit-intf Relation

    File in compiler/nnkit-tflite/support/include/nnkitIncludes file in compiler/nnkit-intf
    support / tflite / AbstractBackend.hbackend / include / nnkit / Backend.h
    support / tflite / TensorContext.htensor / include / nnkit / TensorContext.h
    +

    tflite → angkor Relation

    File in compiler/nnkit-tflite/support/include/nnkit/support/tfliteIncludes file in compiler/angkor
    TensorUtils.hinclude / nncc / core / ADT / tensor / Shape.h
    diff --git a/dir_001015_000614.html b/dir_001017_000615.html similarity index 100% rename from dir_001015_000614.html rename to dir_001017_000615.html diff --git a/dir_001016_000530.html b/dir_001018_000531.html similarity index 100% rename from dir_001016_000530.html rename to dir_001018_000531.html diff --git a/dir_001016_000812.html b/dir_001018_000814.html similarity index 100% rename from dir_001016_000812.html rename to dir_001018_000814.html diff --git a/dir_001017_000556.html b/dir_001019_000557.html similarity index 100% rename from dir_001017_000556.html rename to dir_001019_000557.html diff --git a/dir_001018_000556.html b/dir_001020_000557.html similarity index 100% rename from dir_001018_000556.html rename to dir_001020_000557.html diff --git a/dir_001019_000037.html b/dir_001021_000037.html similarity index 100% rename from dir_001019_000037.html rename to dir_001021_000037.html diff --git a/dir_001019_000244.html b/dir_001021_000244.html similarity index 100% rename from dir_001019_000244.html rename to dir_001021_000244.html diff --git a/dir_001019_000530.html b/dir_001021_000531.html similarity index 100% rename from dir_001019_000530.html rename to dir_001021_000531.html diff --git a/dir_001019_001057.html b/dir_001021_001059.html similarity index 100% rename from dir_001019_001057.html rename to dir_001021_001059.html diff --git a/dir_001020_000352.html b/dir_001022_000352.html similarity index 100% rename from dir_001020_000352.html rename to dir_001022_000352.html diff --git a/dir_001020_000542.html b/dir_001022_000543.html similarity index 100% rename from dir_001020_000542.html rename to dir_001022_000543.html diff --git a/dir_001021_000027.html b/dir_001023_000027.html similarity index 100% rename from dir_001021_000027.html rename to dir_001023_000027.html diff --git a/dir_001021_000656.html b/dir_001023_000657.html similarity index 100% rename from dir_001021_000656.html rename to dir_001023_000657.html diff --git a/dir_001024_000037.html b/dir_001024_000037.html index 8545e02575a..71bbdc3d106 100644 --- a/dir_001024_000037.html +++ b/dir_001024_000037.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tflchef/tools -> arser Relation +ONE - On-device Neural Engine: compiler/circlechef/tools -> arser Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tools → arser Relation

    File in compiler/tflchef/toolsIncludes file in compiler/arser
    file / Driver.cppinclude / arser / arser.h
    reverse / Driver.cppinclude / arser / arser.h
    +

    tools → arser Relation

    File in compiler/circlechef/toolsIncludes file in compiler/arser
    file / Driver.cppinclude / arser / arser.h
    reverse / Driver.cppinclude / arser / arser.h
    diff --git a/dir_001022_000074.html b/dir_001024_000074.html similarity index 100% rename from dir_001022_000074.html rename to dir_001024_000074.html diff --git a/dir_001022_000143.html b/dir_001024_000143.html similarity index 100% rename from dir_001022_000143.html rename to dir_001024_000143.html diff --git a/dir_001024_000244.html b/dir_001024_000244.html index ab694e5b8d7..1dd53930626 100644 --- a/dir_001024_000244.html +++ b/dir_001024_000244.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/tflchef/tools -> foder Relation +ONE - On-device Neural Engine: compiler/circlechef/tools -> foder Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tools → foder Relation

    File in compiler/tflchef/toolsIncludes file in compiler/foder
    reverse / Driver.cppinclude / foder / FileLoader.h
    +

    tools → foder Relation

    File in compiler/circlechef/toolsIncludes file in compiler/foder
    reverse / Driver.cppinclude / foder / FileLoader.h
    diff --git a/dir_001023_000614.html b/dir_001025_000615.html similarity index 100% rename from dir_001023_000614.html rename to dir_001025_000615.html diff --git a/dir_001023_000615.html b/dir_001025_000616.html similarity index 100% rename from dir_001023_000615.html rename to dir_001025_000616.html diff --git a/dir_001026_000037.html b/dir_001026_000037.html new file mode 100644 index 00000000000..8545e02575a --- /dev/null +++ b/dir_001026_000037.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/tflchef/tools -> arser Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    tools → arser Relation

    File in compiler/tflchef/toolsIncludes file in compiler/arser
    file / Driver.cppinclude / arser / arser.h
    reverse / Driver.cppinclude / arser / arser.h
    +
    + + + + diff --git a/dir_001024_000151.html b/dir_001026_000151.html similarity index 100% rename from dir_001024_000151.html rename to dir_001026_000151.html diff --git a/dir_001022_000244.html b/dir_001026_000244.html similarity index 78% rename from dir_001022_000244.html rename to dir_001026_000244.html index 1dd53930626..ab694e5b8d7 100644 --- a/dir_001022_000244.html +++ b/dir_001026_000244.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: compiler/circlechef/tools -> foder Relation +ONE - On-device Neural Engine: compiler/tflchef/tools -> foder Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    tools → foder Relation

    File in compiler/circlechef/toolsIncludes file in compiler/foder
    reverse / Driver.cppinclude / foder / FileLoader.h
    +

    tools → foder Relation

    File in compiler/tflchef/toolsIncludes file in compiler/foder
    reverse / Driver.cppinclude / foder / FileLoader.h
    diff --git a/dir_001024_001016.html b/dir_001026_001018.html similarity index 100% rename from dir_001024_001016.html rename to dir_001026_001018.html diff --git a/dir_001025_000206.html b/dir_001027_000206.html similarity index 100% rename from dir_001025_000206.html rename to dir_001027_000206.html diff --git a/dir_001025_000669.html b/dir_001027_000670.html similarity index 100% rename from dir_001025_000669.html rename to dir_001027_000670.html diff --git a/dir_001026_000124.html b/dir_001028_000124.html similarity index 100% rename from dir_001026_000124.html rename to dir_001028_000124.html diff --git a/dir_001026_000159.html b/dir_001028_000159.html similarity index 100% rename from dir_001026_000159.html rename to dir_001028_000159.html diff --git a/dir_001026_000448.html b/dir_001028_000448.html similarity index 100% rename from dir_001026_000448.html rename to dir_001028_000448.html diff --git a/dir_001026_000682.html b/dir_001028_000683.html similarity index 100% rename from dir_001026_000682.html rename to dir_001028_000683.html diff --git a/dir_001026_000692.html b/dir_001028_000693.html similarity index 100% rename from dir_001026_000692.html rename to dir_001028_000693.html diff --git a/dir_001027_001028.html b/dir_001029_001030.html similarity index 100% rename from dir_001027_001028.html rename to dir_001029_001030.html diff --git a/dir_001028_000220.html b/dir_001030_000220.html similarity index 100% rename from dir_001028_000220.html rename to dir_001030_000220.html diff --git a/dir_001028_000423.html b/dir_001030_000423.html similarity index 100% rename from dir_001028_000423.html rename to dir_001030_000423.html diff --git a/dir_001028_001051.html b/dir_001030_001053.html similarity index 100% rename from dir_001028_001051.html rename to dir_001030_001053.html diff --git a/dir_001029_000220.html b/dir_001031_000220.html similarity index 100% rename from dir_001029_000220.html rename to dir_001031_000220.html diff --git a/dir_001029_000423.html b/dir_001031_000423.html similarity index 100% rename from dir_001029_000423.html rename to dir_001031_000423.html diff --git a/dir_001030_000049.html b/dir_001032_000049.html similarity index 100% rename from dir_001030_000049.html rename to dir_001032_000049.html diff --git a/dir_001033_000404.html b/dir_001033_000404.html deleted file mode 100644 index ffb69134de7..00000000000 --- a/dir_001033_000404.html +++ /dev/null @@ -1,102 +0,0 @@ - - - - - - - -ONE - On-device Neural Engine: runtime/onert/core/src/backend/builtin/train -> include Relation - - - - - - - - - - - - - -
    -
    - - - - - - -
    -
    ONE - On-device Neural Engine -
    -
    -
    - - - - - - - -
    -
    - -
    -
    -
    - -
    - -
    -
    - - -
    -
    -
    -
    -
    -
    Loading...
    -
    Searching...
    -
    No Matches
    -
    -
    -
    -
    - - -
    - - - - diff --git a/dir_001031_000672.html b/dir_001033_000673.html similarity index 100% rename from dir_001031_000672.html rename to dir_001033_000673.html diff --git a/dir_001031_000673.html b/dir_001033_000674.html similarity index 100% rename from dir_001031_000673.html rename to dir_001033_000674.html diff --git a/dir_001034_000404.html b/dir_001034_000404.html index e4d9f0d64a5..f8ea87fdd1c 100644 --- a/dir_001034_000404.html +++ b/dir_001034_000404.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/core/src/compiler/train -> include Relation +ONE - On-device Neural Engine: runtime/onert/core/src/backend/basic/train -> include Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    train → include Relation

    File in runtime/onert/core/src/compiler/trainIncludes file in runtime/onert/core/include
    pass / LossInsertionPass.ccir / train / operation / Loss.h
    pass / LossInsertionPass.ccir / train / TrainableGraph.h
    pass / LossInsertionPass.ccir / train / TrainingInfo.h
    LoweredTrainableGraph.ccbackend / Backend.h
    LoweredTrainableGraph.cccompiler / BackendResolver.h
    LoweredTrainableGraph.ccbackend / train / ITrainableBackend.h
    LoweredTrainableGraph.cccompiler / train / LoweredTrainableGraph.h
    StaticBackwardShapeInferer.ccutil / ShapeInference.h
    StaticBackwardShapeInferer.hcompiler / train / LoweredTrainableGraph.h
    StaticBackwardShapeInferer.hir / train / TrainableOperationVisitor.h
    TensorRegistries.hbackend / train / ITensorRegistry.h
    TensorRegistries.hbackend / train / TrainableBackendContext.h
    TrainableOperationConverter.ccir / train / Operations.Include.h
    TrainableOperationConverter.ccutil / Utils.h
    TrainableOperationConverter.hir / train / TrainingInfo.h
    TrainingCompiler.cccompiler / train / LoweredTrainableGraph.h
    TrainingCompiler.cccompiler / StaticShapeInferer.h
    TrainingCompiler.ccir / train / TrainableGraph.h
    TrainingCompiler.hcompiler / CompilerOptions.h
    TrainingCompiler.hcompiler / ICompiler.h
    TrainingCompiler.hir / NNPkg.h
    TrainingCompiler.hir / train / TrainingInfo.h
    UntrainableOperationConverter.ccir / train / operation / UntrainableOperation.h
    UntrainableOperationConverter.hir / Operations.Include.h
    UntrainableOperationConverter.hir / OperationVisitor.h
    UntrainableOperationConverter.hir / train / TrainableGraph.h
    +

    train → include Relation

    File in runtime/onert/core/src/backend/basic/trainIncludes file in runtime/onert/core/include
    TrainableTensor.ccbackend / basic / train / TrainableTensor.h
    diff --git a/dir_001035_000123.html b/dir_001035_000123.html index 2c98807e0de..077770e64d3 100644 --- a/dir_001035_000123.html +++ b/dir_001035_000123.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/core/src/exec/train -> compiler Relation +ONE - On-device Neural Engine: runtime/onert/core/src/backend/builtin/train -> compiler Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    train → compiler Relation

    File in runtime/onert/core/src/exec/trainIncludes file in runtime/onert/core/src/compiler
    TrainableExecutor.htrain / TensorRegistries.h
    +

    train → compiler Relation

    File in runtime/onert/core/src/backend/builtin/trainIncludes file in runtime/onert/core/src/compiler
    KernelGenerator.htrain / TensorRegistries.h
    diff --git a/dir_001035_000404.html b/dir_001035_000404.html index 54339f01b71..ffb69134de7 100644 --- a/dir_001035_000404.html +++ b/dir_001035_000404.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/core/src/exec/train -> include Relation +ONE - On-device Neural Engine: runtime/onert/core/src/backend/builtin/train -> include Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    +

    train → include Relation

    File in runtime/onert/core/src/backend/builtin/trainIncludes file in runtime/onert/core/include
    BackendContext.ccexec / FunctionSequence.h
    BackendContext.ccbackend / basic / train / TrainableBackendContextHelpers.h
    BackendContext.hbackend / train / TrainableBackendContext.h
    KernelGenerator.hbackend / train / KernelGeneratorBase.h
    KernelGenerator.hexec / train / TrainableFnSequence.h
    KernelGenerator.hir / train / TrainableGraph.h
    kernel / PermuteLayer.hexec / train / ITrainableFunction.h
    Tensor.hbackend / basic / train / TrainableTensor.h
    TensorRegistry.hbackend / train / ITensorRegistry.h
    diff --git a/dir_001033_000429.html b/dir_001035_000429.html similarity index 100% rename from dir_001033_000429.html rename to dir_001035_000429.html diff --git a/dir_001033_000430.html b/dir_001035_000430.html similarity index 100% rename from dir_001033_000430.html rename to dir_001035_000430.html diff --git a/dir_001034_000050.html b/dir_001036_000050.html similarity index 100% rename from dir_001034_000050.html rename to dir_001036_000050.html diff --git a/dir_001034_000204.html b/dir_001036_000204.html similarity index 100% rename from dir_001034_000204.html rename to dir_001036_000204.html diff --git a/dir_001034_000221.html b/dir_001036_000221.html similarity index 100% rename from dir_001034_000221.html rename to dir_001036_000221.html diff --git a/dir_001036_000404.html b/dir_001036_000404.html index df86ac4e3d0..e4d9f0d64a5 100644 --- a/dir_001036_000404.html +++ b/dir_001036_000404.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/core/src/ir/train -> include Relation +ONE - On-device Neural Engine: runtime/onert/core/src/compiler/train -> include Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    train → include Relation

    File in runtime/onert/core/src/ir/trainIncludes file in runtime/onert/core/include
    operation / BinaryArithmetic.ccir / train / operation / BinaryArithmetic.h
    operation / BinaryArithmetic.ccir / OperationVisitor.h
    operation / BinaryArithmetic.ccir / train / TrainableOperationVisitor.h
    operation / Conv2D.ccir / train / operation / Conv2D.h
    operation / Conv2D.ccir / OperationVisitor.h
    operation / Conv2D.ccir / train / TrainableOperationVisitor.h
    operation / DepthwiseConv2D.ccir / train / operation / DepthwiseConv2D.h
    operation / DepthwiseConv2D.ccir / OperationVisitor.h
    operation / DepthwiseConv2D.ccir / train / TrainableOperationVisitor.h
    operation / ElementwiseActivation.ccir / train / operation / ElementwiseActivation.h
    operation / ElementwiseActivation.ccir / OperationVisitor.h
    operation / ElementwiseActivation.ccir / train / TrainableOperationVisitor.h
    operation / FullyConnected.ccir / train / operation / FullyConnected.h
    operation / FullyConnected.ccir / OperationVisitor.h
    operation / FullyConnected.ccir / train / TrainableOperationVisitor.h
    operation / Loss.ccir / train / operation / Loss.h
    operation / Loss.ccir / OperationVisitor.h
    operation / Loss.ccir / train / TrainableOperationVisitor.h
    LossCode.ccir / train / LossCode.h
    OptimizerCode.ccir / train / OptimizerCode.h
    operation / Pad.ccir / OperationVisitor.h
    operation / Pad.ccir / train / operation / Pad.h
    operation / Pad.ccir / train / TrainableOperationVisitor.h
    operation / Permute.ccir / OperationVisitor.h
    operation / Permute.ccir / train / operation / Permute.h
    operation / Permute.ccir / train / TrainableOperationVisitor.h
    operation / Pool2D.ccir / OperationVisitor.h
    operation / Pool2D.ccir / train / operation / Pool2D.h
    operation / Pool2D.ccir / train / TrainableOperationVisitor.h
    operation / Reduce.ccir / OperationVisitor.h
    operation / Reduce.ccir / train / operation / Reduce.h
    operation / Reduce.ccir / train / TrainableOperationVisitor.h
    operation / Reshape.ccir / OperationVisitor.h
    operation / Reshape.ccir / train / operation / Reshape.h
    operation / Reshape.ccir / train / TrainableOperationVisitor.h
    operation / Softmax.ccir / OperationVisitor.h
    operation / Softmax.ccir / train / operation / Softmax.h
    operation / Softmax.ccir / train / TrainableOperationVisitor.h
    TrainableGraph.ccutil / Set.h
    TrainableGraph.ccir / train / TrainableGraph.h
    TrainableGraph.ccutil / Utils.h
    TrainingInfo.ccir / train / TrainingInfo.h
    +

    train → include Relation

    File in runtime/onert/core/src/compiler/trainIncludes file in runtime/onert/core/include
    pass / LossInsertionPass.ccir / train / operation / Loss.h
    pass / LossInsertionPass.ccir / train / TrainableGraph.h
    pass / LossInsertionPass.ccir / train / TrainingInfo.h
    LoweredTrainableGraph.ccbackend / Backend.h
    LoweredTrainableGraph.cccompiler / BackendResolver.h
    LoweredTrainableGraph.ccbackend / train / ITrainableBackend.h
    LoweredTrainableGraph.cccompiler / train / LoweredTrainableGraph.h
    StaticBackwardShapeInferer.ccutil / ShapeInference.h
    StaticBackwardShapeInferer.hcompiler / train / LoweredTrainableGraph.h
    StaticBackwardShapeInferer.hir / train / TrainableOperationVisitor.h
    TensorRegistries.hbackend / train / ITensorRegistry.h
    TensorRegistries.hbackend / train / TrainableBackendContext.h
    TrainableOperationConverter.ccir / train / Operations.Include.h
    TrainableOperationConverter.ccutil / Utils.h
    TrainableOperationConverter.hir / train / TrainingInfo.h
    TrainingCompiler.cccompiler / train / LoweredTrainableGraph.h
    TrainingCompiler.cccompiler / StaticShapeInferer.h
    TrainingCompiler.ccir / train / TrainableGraph.h
    TrainingCompiler.hcompiler / CompilerOptions.h
    TrainingCompiler.hcompiler / ICompiler.h
    TrainingCompiler.hir / NNPkg.h
    TrainingCompiler.hir / train / TrainingInfo.h
    UntrainableOperationConverter.ccir / train / operation / UntrainableOperation.h
    UntrainableOperationConverter.hir / Operations.Include.h
    UntrainableOperationConverter.hir / OperationVisitor.h
    UntrainableOperationConverter.hir / train / TrainableGraph.h
    diff --git a/dir_001034_000424.html b/dir_001036_000424.html similarity index 100% rename from dir_001034_000424.html rename to dir_001036_000424.html diff --git a/dir_001036_000448.html b/dir_001036_000448.html index 2d48bec8877..da7848c46b0 100644 --- a/dir_001036_000448.html +++ b/dir_001036_000448.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/core/src/ir/train -> libs Relation +ONE - On-device Neural Engine: runtime/onert/core/src/compiler/train -> libs Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    train → libs Relation

    File in runtime/onert/core/src/ir/trainIncludes file in runtime/libs
    operation / Loss.ccmisc / include / misc / polymorphic_downcast.h
    TrainableGraph.ccmisc / include / misc / polymorphic_downcast.h
    +

    train → libs Relation

    File in runtime/onert/core/src/compiler/trainIncludes file in runtime/libs
    StaticBackwardShapeInferer.ccmisc / include / misc / polymorphic_downcast.h
    TrainingCompiler.ccmisc / include / misc / polymorphic_downcast.h
    TrainingCompiler.ccmisc / include / misc / string_helpers.h
    diff --git a/dir_001034_000715.html b/dir_001036_000716.html similarity index 100% rename from dir_001034_000715.html rename to dir_001036_000716.html diff --git a/dir_001034_000716.html b/dir_001036_000717.html similarity index 100% rename from dir_001034_000716.html rename to dir_001036_000717.html diff --git a/dir_001035_000050.html b/dir_001037_000050.html similarity index 100% rename from dir_001035_000050.html rename to dir_001037_000050.html diff --git a/dir_001033_000123.html b/dir_001037_000123.html similarity index 80% rename from dir_001033_000123.html rename to dir_001037_000123.html index 077770e64d3..2c98807e0de 100644 --- a/dir_001033_000123.html +++ b/dir_001037_000123.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/core/src/backend/builtin/train -> compiler Relation +ONE - On-device Neural Engine: runtime/onert/core/src/exec/train -> compiler Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    train → compiler Relation

    File in runtime/onert/core/src/backend/builtin/trainIncludes file in runtime/onert/core/src/compiler
    KernelGenerator.htrain / TensorRegistries.h
    +

    train → compiler Relation

    File in runtime/onert/core/src/exec/trainIncludes file in runtime/onert/core/src/compiler
    TrainableExecutor.htrain / TensorRegistries.h
    diff --git a/dir_001037_000404.html b/dir_001037_000404.html new file mode 100644 index 00000000000..54339f01b71 --- /dev/null +++ b/dir_001037_000404.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: runtime/onert/core/src/exec/train -> include Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + + + + + + diff --git a/dir_001035_000448.html b/dir_001037_000448.html similarity index 100% rename from dir_001035_000448.html rename to dir_001037_000448.html diff --git a/dir_001038_000404.html b/dir_001038_000404.html new file mode 100644 index 00000000000..df86ac4e3d0 --- /dev/null +++ b/dir_001038_000404.html @@ -0,0 +1,102 @@ + + + + + + + +ONE - On-device Neural Engine: runtime/onert/core/src/ir/train -> include Relation + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +

    train → include Relation

    File in runtime/onert/core/src/ir/trainIncludes file in runtime/onert/core/include
    operation / BinaryArithmetic.ccir / train / operation / BinaryArithmetic.h
    operation / BinaryArithmetic.ccir / OperationVisitor.h
    operation / BinaryArithmetic.ccir / train / TrainableOperationVisitor.h
    operation / Conv2D.ccir / train / operation / Conv2D.h
    operation / Conv2D.ccir / OperationVisitor.h
    operation / Conv2D.ccir / train / TrainableOperationVisitor.h
    operation / DepthwiseConv2D.ccir / train / operation / DepthwiseConv2D.h
    operation / DepthwiseConv2D.ccir / OperationVisitor.h
    operation / DepthwiseConv2D.ccir / train / TrainableOperationVisitor.h
    operation / ElementwiseActivation.ccir / train / operation / ElementwiseActivation.h
    operation / ElementwiseActivation.ccir / OperationVisitor.h
    operation / ElementwiseActivation.ccir / train / TrainableOperationVisitor.h
    operation / FullyConnected.ccir / train / operation / FullyConnected.h
    operation / FullyConnected.ccir / OperationVisitor.h
    operation / FullyConnected.ccir / train / TrainableOperationVisitor.h
    operation / Loss.ccir / train / operation / Loss.h
    operation / Loss.ccir / OperationVisitor.h
    operation / Loss.ccir / train / TrainableOperationVisitor.h
    LossCode.ccir / train / LossCode.h
    OptimizerCode.ccir / train / OptimizerCode.h
    operation / Pad.ccir / OperationVisitor.h
    operation / Pad.ccir / train / operation / Pad.h
    operation / Pad.ccir / train / TrainableOperationVisitor.h
    operation / Permute.ccir / OperationVisitor.h
    operation / Permute.ccir / train / operation / Permute.h
    operation / Permute.ccir / train / TrainableOperationVisitor.h
    operation / Pool2D.ccir / OperationVisitor.h
    operation / Pool2D.ccir / train / operation / Pool2D.h
    operation / Pool2D.ccir / train / TrainableOperationVisitor.h
    operation / Reduce.ccir / OperationVisitor.h
    operation / Reduce.ccir / train / operation / Reduce.h
    operation / Reduce.ccir / train / TrainableOperationVisitor.h
    operation / Reshape.ccir / OperationVisitor.h
    operation / Reshape.ccir / train / operation / Reshape.h
    operation / Reshape.ccir / train / TrainableOperationVisitor.h
    operation / Softmax.ccir / OperationVisitor.h
    operation / Softmax.ccir / train / operation / Softmax.h
    operation / Softmax.ccir / train / TrainableOperationVisitor.h
    TrainableGraph.ccutil / Set.h
    TrainableGraph.ccir / train / TrainableGraph.h
    TrainableGraph.ccutil / Utils.h
    TrainingInfo.ccir / train / TrainingInfo.h
    +
    + + + + diff --git a/dir_001032_000404.html b/dir_001038_000448.html similarity index 70% rename from dir_001032_000404.html rename to dir_001038_000448.html index f8ea87fdd1c..2d48bec8877 100644 --- a/dir_001032_000404.html +++ b/dir_001038_000448.html @@ -5,7 +5,7 @@ -ONE - On-device Neural Engine: runtime/onert/core/src/backend/basic/train -> include Relation +ONE - On-device Neural Engine: runtime/onert/core/src/ir/train -> libs Relation @@ -63,7 +63,7 @@
    @@ -89,12 +89,12 @@
    -

    train → include Relation

    File in runtime/onert/core/src/backend/basic/trainIncludes file in runtime/onert/core/include
    TrainableTensor.ccbackend / basic / train / TrainableTensor.h
    +

    train → libs Relation

    File in runtime/onert/core/src/ir/trainIncludes file in runtime/libs
    operation / Loss.ccmisc / include / misc / polymorphic_downcast.h
    TrainableGraph.ccmisc / include / misc / polymorphic_downcast.h
    diff --git a/dir_001037_000542.html b/dir_001039_000543.html similarity index 100% rename from dir_001037_000542.html rename to dir_001039_000543.html diff --git a/dir_001038_000352.html b/dir_001040_000352.html similarity index 100% rename from dir_001038_000352.html rename to dir_001040_000352.html diff --git a/dir_001038_000542.html b/dir_001040_000543.html similarity index 100% rename from dir_001038_000542.html rename to dir_001040_000543.html diff --git a/dir_001039_000352.html b/dir_001041_000352.html similarity index 100% rename from dir_001039_000352.html rename to dir_001041_000352.html diff --git a/dir_001039_000542.html b/dir_001041_000543.html similarity index 100% rename from dir_001039_000542.html rename to dir_001041_000543.html diff --git a/dir_001040_000027.html b/dir_001042_000027.html similarity index 100% rename from dir_001040_000027.html rename to dir_001042_000027.html diff --git a/dir_001040_000114.html b/dir_001042_000114.html similarity index 100% rename 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    Files

     Dims.cpp
     Dims.cpp
     
     Explicit.cpp
     
     
     BCQGather.h
     
     FullyConnected.cpp
     
     FullyConnected.h
     
     GRU.cpp
     
     GRU.h
     
     Driver.h
     
     main.cpp
     main.cpp
     
     Options.cpp
     
     
     ExecTime.h
     
     Execution.cc
     Execution.cc
     
     ExecutionObservee.cc
     
     
     Concatenation.cpp
     
     Conv2D.cpp
     Conv2D.cpp
     
     Cos.cpp
     
     
     Div.cpp
     
     Elu.cpp
     Elu.cpp
     
     Equal.cpp
     
     
     L2Pool2D.cpp
     
     LeakyRelu.cpp
     LeakyRelu.cpp
     
     Less.cpp
     
     
     Relu.cpp
     
     Relu6.cpp
     Relu6.cpp
     
     Reshape.cpp
     
     
     Consumer.mock.h
     
     Conv2D.cpp
     Conv2D.cpp
     
     Def.cpp
     
     
     PALSinCommon.h
     
     PALSoftmaxCommon.h
     PALSoftmaxCommon.h
     
     PALSpaceToBatchND.h
     
     
     PALMul.h
     
     PALSoftmax.h
     
     PALSub.h
     
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"onert-micro_2include_2pal_2common_2_p_a_l_strided_slice_8h" ], [ "PALSubCommon.h", "_p_a_l_sub_common_8h.html", "_p_a_l_sub_common_8h" ], [ "PALUtils.h", "onert-micro_2include_2pal_2common_2_p_a_l_utils_8h.html", "onert-micro_2include_2pal_2common_2_p_a_l_utils_8h" ], diff --git a/dir_398ea7c36d76878cd9138b670aaa7b8c_dep.map b/dir_398ea7c36d76878cd9138b670aaa7b8c_dep.map index fa25520bf98..e99d8821ada 100644 --- a/dir_398ea7c36d76878cd9138b670aaa7b8c_dep.map +++ b/dir_398ea7c36d76878cd9138b670aaa7b8c_dep.map @@ -5,6 +5,6 @@ - + diff --git a/dir_398ea7c36d76878cd9138b670aaa7b8c_dep.md5 b/dir_398ea7c36d76878cd9138b670aaa7b8c_dep.md5 index 713c7f81af0..d2851e76f06 100644 --- a/dir_398ea7c36d76878cd9138b670aaa7b8c_dep.md5 +++ b/dir_398ea7c36d76878cd9138b670aaa7b8c_dep.md5 @@ -1 +1 @@ -cddc35b9331dc0aa4f0dbed5216152b2 \ No newline at end of file +dcd8eacd09f28866cfb69919ecb987d2 \ No newline at end of file diff --git a/dir_398ea7c36d76878cd9138b670aaa7b8c_dep.png 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     shape
     
     softmax
     
     strided_slice
     
     sub
    - +

    Files

     conv2d.cpp
     conv2d.cpp
     
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[ "Conv2D.cpp", "compiler_2luci-interpreter_2src_2kernels_2conv2d_8cpp.html", null ], + [ "Conv2D.cpp", "compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.html", null ], [ "Conv2D.h", "compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8h.html", "compiler_2luci-interpreter_2src_2kernels_2_conv2_d_8h" ], [ "Cos.cpp", "compiler_2luci-interpreter_2src_2kernels_2_cos_8cpp.html", null ], [ "Cos.h", "luci-interpreter_2src_2kernels_2_cos_8h.html", "luci-interpreter_2src_2kernels_2_cos_8h" ], @@ -33,7 +33,7 @@ var dir_c4a85e64d6b44b6088d388e953098055 = [ "Dequantize.h", "compiler_2luci-interpreter_2src_2kernels_2_dequantize_8h.html", "compiler_2luci-interpreter_2src_2kernels_2_dequantize_8h" ], [ "Div.cpp", "compiler_2luci-interpreter_2src_2kernels_2_div_8cpp.html", null ], [ "Div.h", "luci-interpreter_2src_2kernels_2_div_8h.html", "luci-interpreter_2src_2kernels_2_div_8h" ], - [ "Elu.cpp", "compiler_2luci-interpreter_2src_2kernels_2_elu_8cpp.html", null ], + [ "Elu.cpp", "compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.html", null ], [ "Elu.h", "compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8h.html", "compiler_2luci-interpreter_2src_2kernels_2_e_l_u_8h" ], [ "Equal.cpp", "compiler_2luci-interpreter_2src_2kernels_2_equal_8cpp.html", null ], [ "Equal.h", "luci-interpreter_2src_2kernels_2_equal_8h.html", "luci-interpreter_2src_2kernels_2_equal_8h" ], @@ -69,7 +69,7 @@ var dir_c4a85e64d6b44b6088d388e953098055 = [ "L2Normalize.h", "compiler_2luci-interpreter_2src_2kernels_2_l2_normalize_8h.html", "compiler_2luci-interpreter_2src_2kernels_2_l2_normalize_8h" ], [ "L2Pool2D.cpp", "compiler_2luci-interpreter_2src_2kernels_2_l2_pool2_d_8cpp.html", null ], [ "L2Pool2D.h", "luci-interpreter_2src_2kernels_2_l2_pool2_d_8h.html", "luci-interpreter_2src_2kernels_2_l2_pool2_d_8h" ], - 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    +
    +

    Files

     main.cpp
     main.cpp
     
     mbed_config.h
     
    + + + + + +
    +
    ONE - On-device Neural Engine +
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    Loading...
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    +
    +
    + +
    +
    luci-ref-value-py-test Directory Reference
    +
    +
    +
    +Directory dependency graph for luci-ref-value-py-test:
    +
    +
    compiler/luci-ref-value-py-test
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    + + + + + + +

    +Files

     conftest.py
     
     test_luci_eval.py
     
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    compute/ARMComputeEx/src/runtime/NEON
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    +
    +
     
     luci-pass-value-test
     
     luci-ref-value-py-test
     
     luci-value-py-test
     
     luci-value-test
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     ConstGen.cpp
     
     Conv2D.cpp
     Conv2D.cpp
     
     DepthwiseConv2D.cpp
     
     
     ReLU.cpp
     
     ReLU6.cpp
     ReLU6.cpp
     
     Reshape.cpp
     
     
     Concatenation.cpp
     
     Conv2D.cpp
     Conv2D.cpp
     
     FullyConnected.cpp
     
     
     Shape.cpp
     
     Softmax.cpp
     
     StridedSlice.cpp
     
     Sub.cpp
    + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    + + + + + + + + + +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
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    Loading...
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    Searching...
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    +
    +
    +
    +
    + +
    +
    softmax Directory Reference
    +
    +
    +
    +Directory dependency graph for softmax:
    +
    +
    onert-micro/onert-micro/include/test_models/softmax
    + + + + +
    + + + + + + + + +

    +Files

     FloatSoftmaxKernel.h
     
     NegSoftmaxKernel.h
     
     TestDataSoftmaxBase.h
     
    +
    +
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z&DJfON*&{s14m8@E#9X}@N}O!y|MV?jy0$(!o|gfHETcTr=L#HszqbQjv2|+e>bMl z;lYk~l$|kq9$U9;qIPgiMm{^7fdhvC`6Ixpg!TOV^F{7&)r@XkAEak&8~|=^ZmjwA zbJEj~)4F972K4JqbaW5KjxQl8Zf9(nByR#7{%vnE#zu{8<<>FKaFSeMBb2BbM2V_F zl&Bg+iK;=As5ZdX`Ba-eQIgfXS~7);TN;S#MIFC)?5M{2PvVQc-}!6ku%lPsS#Y$t z;|^S3U&Ou&!=^8D10e#Alu)J#`9H;R#EI*dSXZG?C=?2X 27#include <string>
    28
    -
    29int main(int argc, char **argv)
    +
    29int main(int argc, char **argv)
    30{
    31 if (argc != 4)
    32 return EXIT_FAILURE;
    @@ -139,7 +139,7 @@
    47 return EXIT_SUCCESS;
    48}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy-infer_8cpp_source.html b/dummy-infer_8cpp_source.html index 35521575569..0afa09090ed 100644 --- a/dummy-infer_8cpp_source.html +++ b/dummy-infer_8cpp_source.html @@ -116,7 +116,7 @@
    24#include <iostream>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 if (argc != 2)
    29 return EXIT_FAILURE;
    @@ -126,7 +126,7 @@
    33 return EXIT_SUCCESS;
    34}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy-infer_v2_8cpp_source.html b/dummy-infer_v2_8cpp_source.html index b77e2058fe0..ed542b99af0 100644 --- a/dummy-infer_v2_8cpp_source.html +++ b/dummy-infer_v2_8cpp_source.html @@ -116,7 +116,7 @@
    24#include <iostream>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 if (argc != 2)
    29 return EXIT_FAILURE;
    @@ -126,7 +126,7 @@
    33 return EXIT_SUCCESS;
    34}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy-onnx-ext_8cpp_source.html b/dummy-onnx-ext_8cpp_source.html index 5c236ddc115..41423498c98 100644 --- a/dummy-onnx-ext_8cpp_source.html +++ b/dummy-onnx-ext_8cpp_source.html @@ -118,7 +118,7 @@
    26#include <string>
    27
    -
    28int main(int argc, char **argv)
    +
    28int main(int argc, char **argv)
    29{
    30 (void)argc;
    31 (void)argv;
    @@ -128,7 +128,7 @@
    35 return EXIT_SUCCESS;
    36}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy-profile_8cpp_source.html b/dummy-profile_8cpp_source.html index 4e76905b87f..dda634aef4f 100644 --- a/dummy-profile_8cpp_source.html +++ b/dummy-profile_8cpp_source.html @@ -118,7 +118,7 @@
    26#include <string>
    27
    -
    28int main(int argc, char **argv)
    +
    28int main(int argc, char **argv)
    29{
    30 if (argc != 2)
    31 return EXIT_FAILURE;
    @@ -128,7 +128,7 @@
    35 return EXIT_SUCCESS;
    36}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy_env-compile_8cpp_source.html b/dummy_env-compile_8cpp_source.html index ae9f5faccf9..6906f46b362 100644 --- a/dummy_env-compile_8cpp_source.html +++ b/dummy_env-compile_8cpp_source.html @@ -119,7 +119,7 @@
    26#include <string>
    27
    -
    28int main(int argc, char **argv)
    +
    28int main(int argc, char **argv)
    29{
    30 if (argc != 2)
    31 return EXIT_FAILURE;
    @@ -138,7 +138,7 @@
    44 return EXIT_SUCCESS;
    45}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy_v2-compile_8cpp_source.html b/dummy_v2-compile_8cpp_source.html index 5564aa00a07..3c75d681d03 100644 --- a/dummy_v2-compile_8cpp_source.html +++ b/dummy_v2-compile_8cpp_source.html @@ -118,7 +118,7 @@
    27#include <string>
    28
    -
    29int main(int argc, char **argv)
    +
    29int main(int argc, char **argv)
    30{
    31 if (argc != 4)
    32 return EXIT_FAILURE;
    @@ -142,7 +142,7 @@
    50 return EXIT_SUCCESS;
    51}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy_v2-profile_8cpp_source.html b/dummy_v2-profile_8cpp_source.html index 9b5aaa69c03..5f6a6a4add1 100644 --- a/dummy_v2-profile_8cpp_source.html +++ b/dummy_v2-profile_8cpp_source.html @@ -118,7 +118,7 @@
    26#include <string>
    27
    -
    28int main(int argc, char **argv)
    +
    28int main(int argc, char **argv)
    29{
    30 if (argc != 2)
    31 return EXIT_FAILURE;
    @@ -128,7 +128,7 @@
    35 return EXIT_SUCCESS;
    36}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/dummy_v3-profile_8cpp_source.html b/dummy_v3-profile_8cpp_source.html index feb5c21e450..2300724580d 100644 --- a/dummy_v3-profile_8cpp_source.html +++ b/dummy_v3-profile_8cpp_source.html @@ -118,7 +118,7 @@
    26#include <string>
    27
    -
    28int main(int argc, char **argv)
    +
    28int main(int argc, char **argv)
    29{
    30 if (argc != 2)
    31 return EXIT_FAILURE;
    @@ -130,7 +130,7 @@
    37 return EXIT_SUCCESS;
    38}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/encodump_2src_2_dump_8cpp_source.html b/encodump_2src_2_dump_8cpp_source.html index e8995de0207..eb29ba60d8c 100644 --- a/encodump_2src_2_dump_8cpp_source.html +++ b/encodump_2src_2_dump_8cpp_source.html @@ -520,7 +520,7 @@
    Concatenate two feature maps.
    Definition Ops.h:363
    2D Convolution over 3D Feature Map with 4D kernel
    Definition Ops.h:74
    Padding2D * pad(void)
    Definition Ops.h:120
    -
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    +
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    Stride2D * stride(void)
    Definition Ops.h:124
    Op * arg(uint32_t n) const final
    Return N-th argument.
    Index-wise element transfer between two objects.
    Definition Instrs.h:85
    diff --git a/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h.html b/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h.html index 1d05f09b3f2..bce0ed560dc 100644 --- a/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h.html +++ b/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h.html @@ -97,7 +97,7 @@
    #include <loco/IR/Node.h>
    #include <loco/IR/Dialect.h>
    -#include "CircleOpcode.h"
    +#include "CircleOpcode.h"
    #include "CircleNodeVisitor.forward.h"

    Go to the source code of this file.

    diff --git a/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h_source.html b/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h_source.html index ee0c34232df..a613824a5bc 100644 --- a/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h_source.html +++ b/exo_2src_2_dialect_2_i_r_2_circle_node_decl_8h_source.html @@ -119,7 +119,7 @@
    20#include <loco/IR/Node.h>
    21#include <loco/IR/Dialect.h>
    22
    -
    23#include "CircleOpcode.h"
    +
    23#include "CircleOpcode.h"
    25
    26namespace locoex
    @@ -156,9 +156,9 @@
    Logical unit of computation.
    Definition Node.h:54
    - + - +
    virtual ~CircleNode()=default
    virtual CircleOpcode opcode(void) const =0
    diff --git a/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h.html b/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h.html index 4fd8db956ea..655f3538602 100644 --- a/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h.html +++ b/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h.html @@ -97,7 +97,7 @@
    #include "CircleNodeDecl.h"
    -#include "CircleOpcode.h"
    +#include "CircleOpcode.h"
    #include "FusedActFunc.h"
    #include "NodeMixins.h"
    #include <loco/IR/Node.h>
    diff --git a/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h_source.html b/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h_source.html index 28309e981ab..f7a17b75a14 100644 --- a/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h_source.html +++ b/exo_2src_2_dialect_2_i_r_2_circle_nodes_8h_source.html @@ -117,7 +117,7 @@
    18#define __LOCOEX_IR_CIRCLENODES_H__
    19
    20#include "CircleNodeDecl.h"
    -
    21#include "CircleOpcode.h"
    +
    21#include "CircleOpcode.h"
    22
    23#include "FusedActFunc.h"
    24#include "NodeMixins.h" // FixedArityNode
    @@ -198,7 +198,7 @@ - + diff --git a/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.js b/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.js deleted file mode 100644 index cc3cdc5e56a..00000000000 --- a/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.js +++ /dev/null @@ -1,7 +0,0 @@ -var exo_2src_2_dialect_2_i_r_2_circle_op_code_8h = -[ - [ "CIRCLE_NODE", "exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html#a0bf95843a4ca2404557403f869f84fc3", null ], - [ "CircleOpcode", "exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html#ae9186db1eda3decea5993b32af9d08b6", [ - [ "CIRCLE_NODE", "exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html#ae9186db1eda3decea5993b32af9d08b6ace20b93d18f40841aa5b47b9632076a6", null ] - ] ] -]; \ No newline at end of file diff --git a/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html b/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html similarity index 92% rename from exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html rename to exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html index 9d79d430c59..825c9a3e9fe 100644 --- a/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h.html +++ b/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html @@ -63,7 +63,7 @@
    @@ -98,7 +98,7 @@
    #include "CircleNodes.lst"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -107,7 +107,7 @@

    Namespaces

    - +

    Macros

    #define CIRCLE_NODE(OPCODE, CLASS)   OPCODE,
    #define CIRCLE_NODE(OPCODE, CLASS)   OPCODE,
     
    - + @@ -226,7 +226,7 @@ - + @@ -456,10 +456,12 @@ - - - - + + + + + + @@ -586,7 +588,7 @@ - + @@ -837,7 +839,7 @@ - + @@ -849,7 +851,7 @@ - + @@ -959,7 +961,7 @@ - + @@ -1235,7 +1237,7 @@ - + @@ -1255,7 +1257,7 @@ - + @@ -1803,7 +1805,7 @@ - + @@ -1995,7 +1997,7 @@ - + @@ -2593,7 +2595,7 @@ - + @@ -2607,7 +2609,7 @@ - + @@ -2643,7 +2645,7 @@ - + @@ -2699,7 +2701,7 @@ - + @@ -2777,14 +2779,14 @@ - + - + @@ -2802,7 +2804,7 @@ - + @@ -2830,7 +2832,7 @@ - + @@ -2880,2101 +2882,2104 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 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+ @@ -5747,7 +5752,7 @@ - + @@ -5815,7 +5820,7 @@ - + @@ -5823,7 +5828,7 @@ - + @@ -5844,7 +5849,7 @@ - + @@ -5879,7 +5884,7 @@ - + @@ -5980,17 +5985,19 @@ - - - - + + + + + - + + @@ -6041,14 +6048,18 @@ - - - - - - - - + + + + + + + + + + + + @@ -6071,7 +6082,7 @@ - + @@ -6080,8 +6091,9 @@ - - + + + @@ -6092,7 +6104,7 @@ - + @@ -6101,8 +6113,9 @@ - - + + + @@ -6255,7 +6268,7 @@ - + @@ -6996,7 +7009,7 @@ - + diff --git a/functions.html b/functions.html index f010198deb6..ba1dabea568 100644 --- a/functions.html +++ b/functions.html @@ -184,7 +184,7 @@

    - _ -

    - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + @@ -3018,97 +3020,98 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -3149,97 +3152,98 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -4468,40 +4472,43 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/hierarchy.js b/hierarchy.js index 977d47bb520..be7a274c2e8 100644 --- a/hierarchy.js +++ b/hierarchy.js @@ -3429,6 +3429,7 @@ var hierarchy = [ "onert_micro::test_model::NegTestDataInputOutputTypeMismatchGatherKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_gather_kernel.html", null ], [ "onert_micro::test_model::NegTestDataInputOutputTypeMismatchLogisticKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_logistic_kernel.html", null ], [ "onert_micro::test_model::NegTestDataInputOutputTypeMismatchMaxPool2DKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_max_pool2_d_kernel.html", null ], + [ "onert_micro::test_model::NegTestDataInputOutputTypeMismatchSoftmaxKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.html", null ], [ "onert_micro::test_model::NegTestDataInputOutputTypeMismatchSubKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_sub_kernel.html", null ], [ "onert_micro::test_model::NegTestDataInputsTypeMismatchSubKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_inputs_type_mismatch_sub_kernel.html", null ], [ "onert_micro::test_model::NegTestDataInt16TypeMul", "classonert__micro_1_1test__model_1_1_neg_test_data_int16_type_mul.html", null ], @@ -3437,6 +3438,7 @@ var hierarchy = [ "onert_micro::test_model::NegTestDataNoQuantParamsLogisticKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_logistic_kernel.html", null ], [ "onert_micro::test_model::NegTestDataNoQuantParamsMaxPool2DKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_max_pool2_d_kernel.html", null ], [ "onert_micro::test_model::NegTestDataNoQuantParamsS16AddKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_s16_add_kernel.html", null ], + [ "onert_micro::test_model::NegTestDataNoQuantParamsSoftmaxKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel.html", null ], [ "onert_micro::test_model::NegTestDataNoQuantParamsSubKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_sub_kernel.html", null ], [ "onert_micro::test_model::NegTestDataWrongAxisGatherKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_wrong_axis_gather_kernel.html", null ], [ "onert_micro::test_model::NegTestDataWrongBiasShapeFullyConnectedKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_wrong_bias_shape_fully_connected_kernel.html", null ], @@ -3659,6 +3661,7 @@ var hierarchy = [ "FloorDivChef", "class_floor_div_chef.html", null ], [ "FloorModChef", "class_floor_mod_chef.html", null ], [ "FullyConnectedChef", "class_fully_connected_chef.html", null ], + [ "FullyConnectedChef", "class_fully_connected_chef.html", null ], [ "GRUChef", "class_g_r_u_chef.html", null ], [ "GatherChef", "class_gather_chef.html", null ], [ "GatherNdChef", "class_gather_nd_chef.html", null ], @@ -3791,6 +3794,7 @@ var hierarchy = [ "FloorDivChefFactory", "struct_floor_div_chef_factory.html", null ], [ "FloorModChefFactory", "struct_floor_mod_chef_factory.html", null ], [ "FullyConnectedChefFactory", "struct_fully_connected_chef_factory.html", null ], + [ "FullyConnectedChefFactory", "struct_fully_connected_chef_factory.html", null ], [ "GRUChefFactory", "struct_g_r_u_chef_factory.html", null ], [ "GatherChefFactory", "struct_gather_chef_factory.html", null ], [ "GatherNdChefFactory", "struct_gather_nd_chef_factory.html", null ], @@ -5330,6 +5334,9 @@ var hierarchy = [ "onert_micro::test_model::TestDataFullyConnectedBase< int8_t >", "classonert__micro_1_1test__model_1_1_test_data_fully_connected_base.html", [ [ "onert_micro::test_model::TestDataS8FullyConnected", "classonert__micro_1_1test__model_1_1_test_data_s8_fully_connected.html", null ] ] ], + [ "onert_micro::test_model::TestDataSoftmaxBase< float >", "classonert__micro_1_1test__model_1_1_test_data_softmax_base.html", [ + [ "onert_micro::test_model::TestDataFloatSoftmax", "classonert__micro_1_1test__model_1_1_test_data_float_softmax.html", null ] + ] ], [ "onert_micro::test_model::TestDataAbsBase< T >", "classonert__micro_1_1test__model_1_1_test_data_abs_base.html", [ [ "onert_micro::test_model::TestDataFloatAbs", "classonert__micro_1_1test__model_1_1_test_data_float_abs.html", null ] ] ], @@ -5370,6 +5377,7 @@ var hierarchy = ] ], [ "onert_micro::test_model::TestDataReshapeKernel< T >", "classonert__micro_1_1test__model_1_1_test_data_reshape_kernel.html", null ], [ "onert_micro::test_model::TestDataShapeKernel< T, U >", "classonert__micro_1_1test__model_1_1_test_data_shape_kernel.html", null ], + [ "onert_micro::test_model::TestDataSoftmaxBase< T >", 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+ - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + diff --git a/inherit_graph_1437.md5 b/inherit_graph_1437.md5 index 1b464c9305f..55b47b05ed5 100644 --- a/inherit_graph_1437.md5 +++ b/inherit_graph_1437.md5 @@ -1 +1 @@ -bcd171ed04fd5b90211c2fb964a1324a \ No newline at end of file +8931c3da14e4f14d4490384d223a4c5a \ No newline at end of file diff --git a/inherit_graph_1439.map b/inherit_graph_1439.map index f37ae98f17d..0634453c8d4 100644 --- a/inherit_graph_1439.map +++ b/inherit_graph_1439.map @@ -1,23 +1,23 @@ - + - + - + - + - + - + - + - + - + - + diff --git a/inherit_graph_1439.md5 b/inherit_graph_1439.md5 index 80bd29e47b0..633454e665e 100644 --- a/inherit_graph_1439.md5 +++ b/inherit_graph_1439.md5 @@ -1 +1 @@ -ba763df9af12e61f37510458f6a5757a \ No newline at end of file +99dc240419b40bd7128c4a2ce91f50a3 \ No newline at end of file diff --git a/inherit_graph_1447.map b/inherit_graph_1447.map index 1b42bd10b9c..75960e24bf1 100644 --- a/inherit_graph_1447.map +++ b/inherit_graph_1447.map @@ -1,9 +1,9 @@ - + - + - + diff --git a/inherit_graph_1447.md5 b/inherit_graph_1447.md5 index 35cf24c8525..0826b96ff2d 100644 --- a/inherit_graph_1447.md5 +++ b/inherit_graph_1447.md5 @@ -1 +1 @@ -e7944541c23e6faf28cc88f9ccfa4941 \ No newline at end of file +25b727eab6879734e7da87ac5fceaba0 \ No newline at end of file diff --git a/inherits.html b/inherits.html index 186a285c405..53c1921bfe0 100644 --- a/inherits.html +++ b/inherits.html @@ -11906,136 +11906,146 @@

  • @@ -143,7 +143,7 @@

    -

    Definition at line 25 of file CircleOpcode.h.

    +

    Definition at line 25 of file CircleOpcode.h.

    @@ -152,7 +152,7 @@

    diff --git a/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.js b/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.js new file mode 100644 index 00000000000..d1d7d9d2b6d --- /dev/null +++ b/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.js @@ -0,0 +1,7 @@ +var exo_2src_2_dialect_2_i_r_2_circle_opcode_8h = +[ + [ "CIRCLE_NODE", "exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html#a0bf95843a4ca2404557403f869f84fc3", null ], + [ "CircleOpcode", "exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html#ae9186db1eda3decea5993b32af9d08b6", [ + [ "CIRCLE_NODE", "exo_2src_2_dialect_2_i_r_2_circle_opcode_8h.html#ae9186db1eda3decea5993b32af9d08b6ace20b93d18f40841aa5b47b9632076a6", null ] + ] ] +]; \ No newline at end of file diff --git a/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h_source.html b/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h_source.html similarity index 93% rename from exo_2src_2_dialect_2_i_r_2_circle_op_code_8h_source.html rename to exo_2src_2_dialect_2_i_r_2_circle_opcode_8h_source.html index 70a4e077e2a..44f8795e43c 100644 --- a/exo_2src_2_dialect_2_i_r_2_circle_op_code_8h_source.html +++ b/exo_2src_2_dialect_2_i_r_2_circle_opcode_8h_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    CircleOpcode.h
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -122,7 +122,7 @@
    23enum class CircleOpcode
    24{
    -
    25#define CIRCLE_NODE(OPCODE, CLASS) OPCODE,
    +
    25#define CIRCLE_NODE(OPCODE, CLASS) OPCODE,
    26#include "CircleNodes.lst"
    27#undef CIRCLE_NODE
    28};
    @@ -132,13 +132,13 @@
    31
    32#endif // __LOCOEX_IR_CIRCLEOPCODE_H__
    - +
    diff --git a/exo_2src_2_dialect_2_service_2_circle_shape_inference_rule_8h_source.html b/exo_2src_2_dialect_2_service_2_circle_shape_inference_rule_8h_source.html index 6d94cbce7aa..056934974dc 100644 --- a/exo_2src_2_dialect_2_service_2_circle_shape_inference_rule_8h_source.html +++ b/exo_2src_2_dialect_2_service_2_circle_shape_inference_rule_8h_source.html @@ -125,7 +125,7 @@
    26{
    27 bool recognize(const loco::Dialect *) const final;
    -
    28 bool infer(const loco::Node *, loco::NodeShape &) const final;
    +
    28 bool infer(const loco::Node *, loco::NodeShape &) const final;
    29};
    30
    @@ -137,7 +137,7 @@ -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    bool recognize(const loco::Dialect *) const final
    Return true if this rule recognizes a given dialect.
    diff --git a/exo_2src_2_dialect_2_service_2_circle_type_inference_rule_8h_source.html b/exo_2src_2_dialect_2_service_2_circle_type_inference_rule_8h_source.html index 3329c3e4238..ee292ecc1b3 100644 --- a/exo_2src_2_dialect_2_service_2_circle_type_inference_rule_8h_source.html +++ b/exo_2src_2_dialect_2_service_2_circle_type_inference_rule_8h_source.html @@ -125,7 +125,7 @@
    29{
    30 bool recognize(const loco::Dialect *) const final;
    -
    31 bool infer(const loco::Node *, loco::DataType &) const final;
    +
    31 bool infer(const loco::Node *, loco::DataType &) const final;
    32};
    33
    @@ -137,7 +137,7 @@
    Logical unit of computation.
    Definition Node.h:54
    DataType
    "scalar" value type
    Definition DataType.h:27
    -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    Type Inference Rule for CircleDialect.
    bool recognize(const loco::Dialect *) const final
    Return true if this rule recognizes a given dialect.
    diff --git a/files.html b/files.html index c10bbeb94aa..374fdd4148e 100644 --- a/files.html +++ b/files.html @@ -196,7 +196,7 @@

      compute
     CNNAPIConvert
     Cnnfw_custom_kernel_params
     Cnnfw_loss_info
     COpChefFactory
     Cexo::circle_detail::OpCode
     Cexo::tflite_detail::OpCode
     Cluci::OpCode
     Conert_micro::test_model::TestDataBase< T, U >
     Cluci_interpreter::test_kernel::TestDataBase< bool >
     Cluci_interpreter::test_kernel::TestDataBase< float >
     Cluci_interpreter::test_kernel::TestDataBase< float, bool >
    - + - + - + - + - + - + - + - + - + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_abs_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_abs_8h.html index 5680cb59440..d4518cb7449 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_abs_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_abs_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_abs_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_abs_8h_source.html index cfbcf9f2a9b..0c294f83ed4 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_abs_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_abs_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELABS_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h.html index a6de67e9938..722198fd615 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h_source.html index 09408a93f25..e6e7ea660e3 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELADD_H__
    19
    - +
    22
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h.html index 0a8fdfa77c3..c8c5aac45a6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h_source.html index fd687203579..8d3fa7a2361 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_add_n_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCEL_ADD_N_H__
    19
    - +
    22
    24
    @@ -154,10 +154,10 @@
    uint32_t arity(void) const final
    Return the number of arguments.
    - + - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h.html index 29fa7909926..48140dd02c3 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h_source.html index f036bf9d825..85e782e5f15 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_max_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELARGMAX_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    DataType
    "scalar" value type
    Definition DataType.h:27
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h.html index a78fd7289dd..cedfca8ce1a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h_source.html index e393c068ca9..e1526872570 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_arg_min_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELARGMIN_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    DataType
    "scalar" value type
    Definition DataType.h:27
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h.html index c020b2a539c..cfa10e5f5c2 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrFilter.h"
    #include "luci/IR/AttrPadding.h"
    #include "luci/IR/AttrStride.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h_source.html index cdd2d66bf4f..081b52fb8e0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_average_pool2_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEAVERAGEPOOL2D_H__
    19
    - +
    22
    23#include "luci/IR/AttrFilter.h"
    24#include "luci/IR/AttrPadding.h"
    @@ -179,7 +179,7 @@ - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h.html index 7e44c3c5cb0..a286338d3f8 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h_source.html index 3674e43efc5..37e147b8bbf 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_fully_connected_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEBCQFULLYCONNECTED_H__
    19
    - +
    22
    @@ -185,7 +185,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h.html index 1be9fe5b36c..985349da345 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h_source.html index 419bb8ce2ca..9f94f345af6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_b_c_q_gather_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEBCQGATHER_H__
    19
    - +
    22
    24
    @@ -175,7 +175,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h.html index cc481fd866f..d224f085659 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h_source.html index 55816ef137f..d1868c0b830 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_mat_mul_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELBATCHMATMUL_H__
    19
    - +
    22
    24
    @@ -166,7 +166,7 @@
    loco::Node * arg(uint32_t n) const final
    Access N-th argument node.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h.html index 4e11e139be8..a3676ad81de 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h_source.html index f720dd64509..4522036b363 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_batch_to_space_n_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEBATCHTOSPACEND_H__
    19
    - +
    22
    24
    @@ -156,7 +156,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h.html index e11929674d5..7867da03bc6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h_source.html index 815198f4864..2e214f86c3b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_bidirectional_sequence_l_s_t_m_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEBIDIRECTIONALSEQUENCE_LSTM_H__
    19
    - +
    22
    @@ -385,7 +385,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h.html index e2a06ef1b95..ef6cdd383c8 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h_source.html index fb5df7b43a9..bab8d5634b3 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_broadcast_to_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEBROADCASTTO_H__
    19
    - +
    22
    24
    @@ -151,7 +151,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h.html index af21f75e91b..b3d75883a2e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h_source.html index 6bd1ea7f5e9..de59a05e93e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cast_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELECAST_H__
    19
    - +
    22
    24
    @@ -160,7 +160,7 @@
    Nodes with the fixed number of inputs.
    - +
    DataType
    "scalar" value type
    Definition DataType.h:27
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h.html index 4402dff4447..1f3b0ad3dd9 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h_source.html index f19e6a76b26..0f4187467ab 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_ceil_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_CEIL_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h.html index c7cdc6b09c1..feee0675a56 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrFusedActFunc.h"
    #include "luci/IR/CircleNodeMixins.h"
    #include "luci/IR/VariadicArityNode.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h_source.html index 5170dfaabf1..497c5d95dcb 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_concatenation_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLECONCATENATION_H__
    19
    - +
    22
    @@ -191,10 +191,10 @@
    uint32_t arity(void) const final
    Return the number of arguments.
    - + - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h.html index 11123cb4e35..f15e539de00 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h_source.html index d31b842599d..b735776001d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_const_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLECONST_H__
    19
    - +
    22
    24
    @@ -156,7 +156,7 @@
    uint32_t size(void) const
    Nodes with the fixed number of inputs.
    - +
    C++ scalar type corresponding to each DataType.
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h.html index 64b68701cd6..95d5a5c94f0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrPadding.h"
    #include "luci/IR/AttrStride.h"
    #include "luci/IR/AttrDilation.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h_source.html index 751491aab66..da2edc7f43d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_conv2_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLECONV2D_H__
    19
    - +
    22
    23#include "luci/IR/AttrPadding.h"
    24#include "luci/IR/AttrStride.h"
    @@ -189,7 +189,7 @@ - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h.html index cd59c32a049..0dc4f60b59e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h_source.html index d92dc972331..a057cff858f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cos_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_COS_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h.html index 8cdab5c0ac6..122884f3db2 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h.html @@ -97,7 +97,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h_source.html index eb8b4804b9f..1d9c5af38dd 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_cum_sum_8h_source.html @@ -118,7 +118,7 @@
    19
    - +
    23
    24namespace luci
    25{
    @@ -164,7 +164,7 @@
    Nodes with the fixed number of inputs.
    - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_custom_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_custom_8h_source.html index 9fa860f9e84..cb3b58e75a7 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_custom_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_custom_8h_source.html @@ -183,7 +183,7 @@ - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h.html index e48212a46c7..19171c3b1db 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h_source.html index 0c5452befa8..62decc62ab6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_densify_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_DENSIFY_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h.html index 1b79a71aca9..613affaf6cd 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h_source.html index 1d53ee0334a..8dbc14d7723 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depth_to_space_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_DEPTHTOSPACE_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h.html index 4fdcaa5e4c7..b87494dc5b5 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrDilation.h"
    #include "luci/IR/AttrFilter.h"
    #include "luci/IR/AttrPadding.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h_source.html index b7ae722d2a7..481d50f09ff 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_depthwise_conv2_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEDEPTHWISECONV2D_H__
    19
    - +
    22
    24#include "luci/IR/AttrFilter.h"
    @@ -199,7 +199,7 @@
    loco::Node * arg(uint32_t n) const final
    Access N-th argument node.
    - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h.html index 743d39c1b1e..52da3ad99e0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h_source.html index 77ba7511df3..11045fa6b21 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_dequantize_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELEDEQUANTIZE_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h.html index 9e197ae8493..bda590ca6db 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrFilter.h"
    #include "luci/IR/AttrPadding.h"
    #include "luci/IR/AttrStride.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h_source.html index 8e092681918..5381f9e39b8 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_div_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEDIV_H__
    19
    - +
    22
    23#include "luci/IR/AttrFilter.h"
    24#include "luci/IR/AttrPadding.h"
    @@ -160,7 +160,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h.html index 005b9f6d219..e5f65baf2aa 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h_source.html index 0d7472e904f..af52a3f06f5 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_elu_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEELU_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h.html index 7672bed469a..d84eef5fa94 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h_source.html index 77ebdd3696b..a621f365050 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_equal_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_EQUAL_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h.html index 44ae2ab1fc4..69d156dc219 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h_source.html index fe914e10410..b5baa7211f0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_exp_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_EXP_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h.html index 51101a9ff2b..cead93f6fcd 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h_source.html index e0c181c20ff..a8aedae2e91 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_expand_dims_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEEXPAND_DIMS_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h.html index d3d1c98be38..208a11d2680 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h_source.html index b5f41e1356d..8b2c1a3b652 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fake_quant_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_FAKE_QUANT_H__
    19
    - +
    22
    24
    @@ -172,7 +172,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h.html index b065056e0f2..11ebc586deb 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h_source.html index 5f8132ec159..784ace5013f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fill_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCEFILL_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h.html index e8823674e85..aea1ff08de4 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h_source.html index 2dcfd7e3e50..98e1834af53 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_FLOOR_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h.html index df1a77cf52a..273b8ccbb17 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h_source.html index a04f438fc4b..063e11586dc 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_div_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_FLOOR_DIV_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h.html index fb57d1ad12a..f9348e4eb48 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h_source.html index bad324929a6..e5bc4f3a598 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_floor_mod_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_FLOOR_MOD_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h.html index 98ed3b22a68..1b6be3c98ed 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h_source.html index e429588a48e..a1b8a8ba73e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_fully_connected_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEFULLYCONNECTED_H__
    19
    - +
    22
    @@ -193,7 +193,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_g_r_u_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_g_r_u_8h.html index b71f36b6478..5bbb309adb2 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_g_r_u_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_g_r_u_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_g_r_u_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_g_r_u_8h_source.html index 27890a8c775..6b67021a7c2 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_g_r_u_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_g_r_u_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_GRU_H__
    19
    - +
    22
    24
    @@ -191,7 +191,7 @@
    Nodes with the fixed number of inputs.
    - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h.html index 8db6d5ab6d5..bbd7a62ab95 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h_source.html index c81cb12cf89..7d213f8ffcc 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEGATHER_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h.html index 2171504b27a..eb25b0228fc 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h_source.html index d262f678004..69adea355d6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gather_nd_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEGATHER_ND_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h.html index 84f44515ac3..316a6d7b101 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h_source.html index 1d83d0f7b7c..bd5d7c1373f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_gelu_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEGELU_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    loco::Node * arg(uint32_t n) const final
    Access N-th argument node.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h.html index e924480afa8..57af493b55a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h_source.html index 71727bb53a0..5a9b1f3d4ec 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_GREATER_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h.html index 503c3f05f1d..6e302cdc77c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h_source.html index b6760a90317..7b574561d1e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_greater_equal_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_GREATEREQUAL_H__
    19
    - +
    22
    24
    @@ -151,7 +151,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h.html index b4a86fc5bd4..668636ac0f4 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h_source.html index 704d553d2ed..1da272ab566 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_hard_swish_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEHARDSWISH_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h.html index 731554ba9ea..d8c2bdc8f0e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/VariadicArityNode.h"
    #include <cassert>
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h_source.html index c1b5bd428cb..5d1a41af766 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_if_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_IF_H__
    19
    - +
    22
    24
    @@ -200,10 +200,10 @@
    uint32_t arity(void) const final
    Return the number of arguments.
    - + - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h.html index e55e487007a..e99af13d56b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h_source.html index 83fd07d8c21..bdd7c76f13b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_instance_norm_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEINSTANCENORM_H__
    19
    - +
    22
    @@ -169,7 +169,7 @@
    Nodes with the fixed number of inputs.
    loco::Use * at(uint32_t n) const
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h.html index b0b0da4b4ea..e143acc605a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h_source.html index 5625d37c89b..582444d7736 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_normalize_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCEL2NORMALIZE_H__
    19
    - +
    22
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h.html index 215a7759378..3da774048f8 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrFilter.h"
    #include "luci/IR/AttrPadding.h"
    #include "luci/IR/AttrStride.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h_source.html index 4842adf5fe9..056c78b614e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_l2_pool2_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_L2_POOL2D_H__
    19
    - +
    22
    23#include "luci/IR/AttrFilter.h"
    24#include "luci/IR/AttrPadding.h"
    @@ -178,7 +178,7 @@ - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h.html index 56ae945597e..4bc8c1be5d4 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h_source.html index 69ab6f4694a..c868fecac05 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_leaky_relu_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LEAKY_RELU_H__
    19
    - +
    22
    24
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h.html index 9b59a0dfd0a..68f2957c473 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h_source.html index 35aab21bcdd..2783b2e85e5 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LESS_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h.html index 8c8f810db13..b63b911bc44 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h_source.html index 573ad369941..2823d498cc5 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_less_equal_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LESSEQUAL_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h.html index d79e3eb9ac4..e7927688b48 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h_source.html index 3e7d46bd308..b93a75ff355 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_local_response_normalization_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLELOCAL_RESPONSE_NORMALIZATION_H__
    19
    - +
    22
    24
    @@ -173,7 +173,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h.html index 813aa3ce4ee..d941220eccc 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h_source.html index a484bae8177..5c357ab3e4e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LOG_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h.html index 9d45208e9a2..5db4d1b5b7f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h_source.html index d8c205a640e..346f6fe8213 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_log_softmax_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LOG_SOFTMAX_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h.html index d57d80ce1b5..b77af64092b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h_source.html index f776f8990a5..c1a87e08e12 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_and_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LOGICALAND_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h.html index e2f335912fe..d0ff11bc632 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h_source.html index 27eafd0bc3f..a26928fa4be 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_not_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LOGICALNOT_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h.html index 5911e0a4377..caf8d69369b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h_source.html index cc6f9035033..8de6d85d88a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logical_or_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LOGICALOR_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h.html index 93fa11cd64b..82e14a5b929 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h_source.html index 2f60efc1e24..5e183e542e6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_logistic_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_LOGISTIC_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h.html index d47607b4911..73b19c7e104 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h_source.html index d896665520d..294d1f3647f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_diag_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMATRIXDIAG_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h.html index cc20b32dd5f..e3822120b9c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h_source.html index 372ca8299b2..502ded0e6b0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_matrix_set_diag_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMATRIXSETDIAG_H__
    19
    - +
    22
    24
    @@ -151,7 +151,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h.html index 6e2e7639b24..e4754346798 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrFilter.h"
    #include "luci/IR/AttrPadding.h"
    #include "luci/IR/AttrStride.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h_source.html index b0649ce19c1..7995e9acec6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_max_pool2_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMAXPOOL2D_H__
    19
    - +
    22
    23#include "luci/IR/AttrFilter.h"
    24#include "luci/IR/AttrPadding.h"
    @@ -178,7 +178,7 @@ - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h.html index 3fdca0200e0..bdb6d3bf984 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h_source.html index af3b56481a2..61d0b7446e9 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_maximum_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMAXIMUM_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h.html index 589da080357..a77cfdf19cf 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h_source.html index 5ed30dc303c..f9425531817 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mean_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMEAN_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h.html index f86e16bb074..77c119456af 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h_source.html index 1fabf868dc3..cd28803bea7 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_minimum_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMINIMUM_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h.html index 1df5572a037..67833f902db 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h_source.html index 8cbf2b579c1..3f0e2084966 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mirror_pad_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_MIRRORPAD_H__
    19
    - +
    22
    @@ -161,7 +161,7 @@
    Nodes with the fixed number of inputs.
    - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h.html index ca6586c7087..55e022c39cf 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h_source.html index 8a512d94dce..d01955b23c0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_mul_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEMUL_H__
    19
    - +
    22
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h.html index 6adb92423c2..b12af507dbf 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h_source.html index 3471e1b9ce4..2497cdd6a10 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_neg_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLENEG_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h.html index 52a85bdd724..aba9feecf3f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h_source.html index 26b140cfa7a..ca0afbd51da 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v4_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_NON_MAX_SUPPRESSION_V4_H__
    19
    - +
    22
    24
    @@ -166,7 +166,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h.html index 82a265ae9ee..976324c1f7c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h_source.html index 1f231db7b15..f70ad996704 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_non_max_suppression_v5_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_NON_MAX_SUPPRESSION_V5_H__
    19
    - +
    22
    24
    @@ -171,7 +171,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h.html index 2cb32a83ad0..8904d361c8d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h_source.html index 30ab611aa9f..4820064b268 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_not_equal_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_NOTEQUAL_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h.html index 08bb8d8c87b..1b85e004d84 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h_source.html index aa7bf890883..90382d69355 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_one_hot_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEONEHOT_H__
    19
    - +
    22
    24
    @@ -169,7 +169,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h.html index 7e8353503ed..e1ec41a5826 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h_source.html index a8b652558d9..8e6a4b83293 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_p_relu_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_PRELU_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h.html index 09eba970a2e..bbb0402e561 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/VariadicArityNode.h"
    #include <cassert>
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h_source.html index 53596f834b2..e8f4bf73e78 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pack_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEPACK_H__
    19
    - +
    22
    24
    @@ -182,10 +182,10 @@
    uint32_t arity(void) const final
    Return the number of arguments.
    - + - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h.html index 9dc83ab8164..d5cb3f10c20 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h_source.html index b5c9411b50b..7c133f8721c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEPAD_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h.html index ab64c19ccb4..e0c2a4046b9 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h_source.html index 54bbc271838..7ac8cec439c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pad_v2_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEPADV2_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h.html index 726cf7608dd..5675652e714 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h_source.html index b5c25813def..c6c33e25515 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_pow_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_POW_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h.html index 1e74c83d5ee..0387686f884 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h_source.html index 23251902a74..d25bba42387 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_quantize_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELEQUANTIZE_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h.html index 97d140a5dda..c541abf98a6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h_source.html index 6dcd898d447..ddf0215a355 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_range_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERANGE_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h.html index 50e82ea4ec7..cadad9c7698 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h_source.html index f7c9c47c1dc..41130eb8028 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rank_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERANK_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h.html index b463243405a..7e7862e3c7d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h_source.html index 87f66a62ce5..889f22f5ff1 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_any_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_REDUCE_ANY_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h.html index cf0b424b45e..0a883cd040d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h_source.html index a14f71dd471..2b82d31c26c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_max_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_REDUCE_MAX_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h.html index e2b49613e19..92f160364fd 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h_source.html index b42a1b56577..a232e340fca 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_min_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_REDUCE_MIN_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h.html index fdc28c59f34..86a9b8d47af 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h_source.html index fd715a69727..95d0321fcc1 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reduce_prod_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_REDUCE_PROD_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h.html index fa92af83b60..c66bc625597 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h_source.html index 0c3a14f9017..e50b662746a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu6_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERELU6_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h.html index 0bfdca2d945..2dfa34068f9 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h_source.html index d101463267c..564501a6a17 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERELU_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h.html index 1a0ce605a3f..6673abae84b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h_source.html index c9719c13bd4..69d9191ff7e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_relu_n1_to1_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_RELU_N1_TO_1_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h.html index 2a2947a16da..164dd0ff275 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h_source.html index 94f6fb6b25a..87fa77d487d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reshape_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERESHAPE_H__
    19
    - +
    22
    24
    @@ -181,7 +181,7 @@
    Nodes with the fixed number of inputs.
    - +
    Definition Shape.h:28
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h.html index 1d4bb4bb08a..7a5a99a64cb 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h_source.html index b14dc241829..d9f68b7b92f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_bilinear_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERESIZE_BILINEAR_H__
    19
    - +
    22
    24
    @@ -166,7 +166,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h.html index 6fd18797af9..ae9410fe796 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h_source.html index abdb3a7c657..dfbb59b1e7a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_resize_nearest_neighbor_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERESSIZE_NEAREST_NEIGHBOR_H__
    19
    - +
    22
    24
    @@ -160,7 +160,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h.html index 1b78bca7e26..973067bc9c1 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h_source.html index e908c1bc66f..d778570cb11 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_sequence_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEREVERSESEQUENCE_H__
    19
    - +
    22
    24
    @@ -166,7 +166,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h.html index c80d8e1222e..60a2c695ef5 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h_source.html index ae623bf8f62..edf744d7462 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_reverse_v2_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEREVERSE_V2_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h.html index a1cc3064d19..b92661f96b9 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h_source.html index ff4b687b681..ffbb4206af1 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_round_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEROUND_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h.html index afae7b17a4a..ba3eb6d69b6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h_source.html index 91bbbee3890..6d8a8723e17 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_rsqrt_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLERSQRT_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h.html index e3a21c50c80..cc0e8a771bc 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h_source.html index caedd97bf0c..3c2fd4c606d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_s_v_d_f_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SVDF_H__
    19
    - +
    22
    24
    @@ -191,7 +191,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h.html index 2790f72d36c..6131d9f3bc7 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h_source.html index 8ccfb13dc89..7de6daf43fe 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_scatter_nd_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESCATTER_ND_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h.html index f1380eea740..b61c746acb2 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h_source.html index b72fe5c1487..fb4b8b62a71 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_segment_sum_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SEGMENT_SUM_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h.html index 66ca0b31ffb..17ce5e18097 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h_source.html index 1f643a8cd16..bdea51b4c59 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SELECT_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h.html index 0cd7d1f3df0..f34c4807885 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h_source.html index 60c93040e8f..04d3a3369e4 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_select_v2_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SELECT_V2_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h.html index e265baf4414..41c35a1ba6f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h_source.html index fa3e3f267bd..1964a725006 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_shape_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SHAPE_H__
    19
    - +
    22
    24
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    DataType
    "scalar" value type
    Definition DataType.h:27
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h.html index be8632dd1f7..c1326825491 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h_source.html index 4584b9d28ad..63211dd0bf7 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sin_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SIN_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h.html index ace7dbee716..fe52acf978d 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h_source.html index 9de36b94f54..c19e79459f4 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_slice_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_SLICE_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h.html index 0d2f02e549c..18c2e5ab83b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h_source.html index e16c603fd14..7268b08f5a0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_softmax_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESOFTMAX_H__
    19
    - +
    22
    24
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h.html index 4da6fa4d998..7228585addd 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h_source.html index cf81b11aa76..eb3cc3e45f0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_batch_n_d_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SPACETOBATCHND_H__
    19
    - +
    22
    24
    @@ -156,7 +156,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h.html index e03d05034e5..fa3d699b417 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h_source.html index 345c27c9f35..de13c02cb88 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_space_to_depth_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SPACETODEPTH_H__
    19
    - +
    22
    24
    @@ -155,7 +155,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h.html index eda76bb2830..b10914dc4f3 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h_source.html index dcc7984f7db..b63da1badde 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sparse_to_dense_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELSPARSETODENSE_H__
    19
    - +
    22
    24
    @@ -170,7 +170,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h.html index 5b0df3c418a..eaef8a64957 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h_source.html index ddcb65fb06f..c5d6d46670e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SPLIT_H__
    19
    - +
    22
    24
    @@ -160,7 +160,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h.html index fa9af91e21e..3b426716a8f 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h_source.html index 4be6e025eda..938d14b0864 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_split_v_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_SPLIT_V_H__
    19
    - +
    22
    24
    @@ -165,7 +165,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h.html index 09bbee7ad8d..e52192a516a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h_source.html index 4b6771202d8..fc5019c31eb 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sqrt_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESQRT_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h.html index 67c87dfcbcc..7b9500130c2 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h_source.html index 0fd225018d8..96c09546d5b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_square_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESQUARE_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h.html index 5a021dbab5d..131573e882b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h_source.html index 0403130b1a4..dc0af7f4ec7 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squared_difference_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESQUAREDIFFERENCE_H__
    19
    - +
    22
    24
    @@ -151,7 +151,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h.html index 223dae996e1..f772cd36e14 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h_source.html index 131ba6ef40f..790168531ee 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_squeeze_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESQUEEZE_H__
    19
    - +
    22
    24
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h.html index 4cf69121e6b..9c563a203ab 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h_source.html index 5f98221c007..f4a7872ce70 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_strided_slice_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_STRIDEDSLICE_H__
    19
    - +
    22
    24
    @@ -194,7 +194,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h.html index cdab3827746..6460d0bba63 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h_source.html index c04a97ac442..3b67d5897ce 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sub_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESUB_H__
    19
    - +
    22
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h.html index 730447861f0..c307909c44c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h_source.html index ed827d432d9..cc94b463a1e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_sum_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLESUM_H__
    19
    - +
    22
    24
    @@ -159,7 +159,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h.html index 0a0ab532cba..dc351ca7e65 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h_source.html index fb2de9bb481..19e5e951240 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tanh_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLETANH_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h.html index eb229193209..364b6000a7e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h_source.html index fea46892649..7569e7ae97a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_tile_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLETILE_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h.html index 0c333fdde77..f70d0cafac0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h_source.html index 77b3e1cc902..14ff0a9137b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_top_k_v2_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_TOPK_V2_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h.html index 6330076ebe0..b29a12308c0 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h_source.html index 20df912119f..003bf0aa635 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLETRANSPOSE_H__
    19
    - +
    22
    24
    @@ -150,7 +150,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h.html index f4cf14de822..88ea724ce6b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/AttrPadding.h"
    #include "luci/IR/AttrStride.h"
    #include "luci/IR/CircleNodeMixins.h"
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h_source.html index 0191c08778b..eac0c81a51c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_transpose_conv_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLETRANSPOSECONV_H__
    19
    - +
    22
    23#include "luci/IR/AttrPadding.h"
    24#include "luci/IR/AttrStride.h"
    @@ -185,7 +185,7 @@ - + diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h.html index bbe19451b70..7fce198786e 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h.html @@ -96,7 +96,7 @@
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h_source.html index 016881331df..2bdd50ed215 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unidirectional_sequence_l_s_t_m_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLEUNIDIRECTIONALSEQUENCELSTM_H__
    19
    - +
    22
    @@ -278,7 +278,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h.html index c4e94cb7c14..f97ec7606e9 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h_source.html index 33ee9864896..fd7bd8f0c9a 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unique_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCELUNIQUE_H__
    19
    - +
    22
    24
    @@ -154,7 +154,7 @@
    Nodes with the fixed number of inputs.
    - +
    DataType
    "scalar" value type
    Definition DataType.h:27
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h.html index 0b895a33c7c..9e72b966b15 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h_source.html index 099aa0af7a3..5edd125db4b 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_unpack_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_UNPACK_H__
    19
    - +
    22
    24
    @@ -160,7 +160,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h.html index d76f25cef64..dc3d13b6758 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h_source.html index c00b1257145..114244a4f97 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_variable_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_VARIABLE_H__
    19
    - +
    22
    24
    @@ -140,7 +140,7 @@
    CircleVariable()=default
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h.html index f530b0e68b2..69284c02dde 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/CircleNodeMixins.h"
    #include <cassert>
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h_source.html index 00fdb799f22..c38b1148118 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_where_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_WHERE_H__
    19
    - +
    22
    24
    @@ -147,7 +147,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h.html index eefda82bd21..a42ce46ad20 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h.html @@ -96,7 +96,7 @@
    #include "luci/IR/CircleNodeDecl.h"
    -#include "luci/IR/CircleOpcode.h"
    +#include "luci/IR/CircleOpcode.h"
    #include "luci/IR/VariadicArityNode.h"
    #include <cassert>
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h_source.html index 51818c26cde..bafbe74b90c 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_while_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_WHILE_H__
    19
    - +
    22
    24
    @@ -198,10 +198,10 @@
    uint32_t arity(void) const final
    Return the number of arguments.
    - + - +
    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h.html index e90a18acd66..246c52b79c6 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h.html @@ -96,7 +96,7 @@

    Go to the source code of this file.

    diff --git a/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h_source.html b/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h_source.html index 16213865375..9daeeeb1204 100644 --- a/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h_source.html +++ b/lang_2include_2luci_2_i_r_2_nodes_2_circle_zeros_like_8h_source.html @@ -117,7 +117,7 @@
    18#define __LUCI_IR_CIRCLE_ZEROS_LIKE_H__
    19
    - +
    22
    24
    @@ -145,7 +145,7 @@
    Nodes with the fixed number of inputs.
    - +
    diff --git a/library__info_8cc.html b/library__info_8cc.html index 96fa40c5251..512748e8e3f 100644 --- a/library__info_8cc.html +++ b/library__info_8cc.html @@ -121,7 +121,7 @@

    Definition at line 17 of file library_info.cc.

    -

    Referenced by onert::backend::acl_common::asTensorInfo(), enco::SubnetStructBuilder::build(), onert::backend::acl_common::AclTensorManager< T_ITensor, T_Tensor, T_SubTensor >::buildTensor(), onert::backend::acl_common::AclMemoryManager< T_ITensor, T_Tensor, T_SubTensor >::buildTensor(), onert::backend::gpu_cl::MemoryManager::buildTensor(), onert::backend::gpu_cl::TensorManager::buildTensor(), arm_compute::misc::shape_calculator::compute_transposeconv_upsampled_shape(), arm_compute::CLPadLayerEx::configure(), arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::NEReduceSum::configure(), arm_compute::NEReduceOperation::configure(), arm_compute::NETransposeConvLayer::configure(), enco::CppCode::dump(), exo::circle_detail::exportOpDefinedTensor(), exo::tflite_detail::exportOpDefinedTensor(), enco::generate_global_data(), nnfw_session::input_tensorinfo(), onert::backend::acl_common::kernelGenPool2D(), luci::layer_info_map(), nnfw::loadFunction(), main(), nnfw_register_custom_op_info(), nnfw_train_expected_tensorinfo(), nnfw_train_get_traininfo(), nnfw_train_input_tensorinfo(), nnfw_train_set_traininfo(), exo::ProgressReporter::notify(), luci::ProgressReporter::notify(), luci::ModuleProgressReporter::notify(), moco::tf::ProgressReporter::notify(), exo::ProgressReporter::notify(), luci::ProgressReporter::notify(), luci::ModuleProgressReporter::notify(), moco::tf::ProgressReporter::notify(), logo::PhaseRunnerMixinObservable::notifyPassBegin(), logo::PhaseRunnerMixinObservable::notifyPassEnd(), logo::PhaseRunnerMixinObservable::notifyPhaseBegin(), logo::PhaseRunnerMixinObservable::notifyPhaseEnd(), nnfw_session::output_tensorinfo(), onert::backend::cl_common::BackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator >::planTensors(), onert::backend::basic::planTensors(), luci::CircleQuantizer::quantize(), onert::backend::train::TensorBuilder::registerBackwardTensorInfo(), onert::backend::acl_common::AclTensorBuilder< T_ITensor, T_Tensor, T_SubTensor >::registerTensorInfo(), onert::backend::train::TensorBuilder::registerTensorInfo(), onert::backend::basic::TensorBuilder::registerTensorInfo(), onert::backend::builtin::TensorBuilder::registerTensorInfo(), onert::backend::acl_common::AclBackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator, T_Optimizer >::registerTensorInfo(), onert::backend::gpu_cl::BackendContext::registerTensorInfo(), onert::backend::gpu_cl::TensorBuilder::registerTensorInfo(), arm_compute::NECastBoolKernel::run(), arm_compute::NEEmbeddingLookupKernel::run(), arm_compute::NEGatherKernelEx::run(), arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run(), arm_compute::NEHashtableLookupKernel::run(), arm_compute::NEInstanceNormalizationLayerKernelEx::run(), arm_compute::NEMultiplyScaleFactorKernel::run(), arm_compute::NEOneHotKernel::run(), arm_compute::NEQuantizationSymmetricKernel::run(), onert::backend::trix::setDataInfo(), onert::exec::Execution::setInput(), onert::exec::Execution::setInput(), onert::exec::Execution::setOutput(), onert::exec::Execution::setOutput(), nnfw_session::train_get_traininfo(), nnfw_session::train_set_traininfo(), arm_compute::transposeconv_output_dimensions(), arm_compute::CLPadLayerEx::validate(), arm_compute::NETransposeConvLayer::validate(), and arm_compute::CLDirectTransposeConvLayer::validate().

    +

    Referenced by onert::backend::acl_common::asTensorInfo(), enco::SubnetStructBuilder::build(), onert::backend::acl_common::AclTensorManager< T_ITensor, T_Tensor, T_SubTensor >::buildTensor(), onert::backend::acl_common::AclMemoryManager< T_ITensor, T_Tensor, T_SubTensor >::buildTensor(), onert::backend::gpu_cl::MemoryManager::buildTensor(), onert::backend::gpu_cl::TensorManager::buildTensor(), arm_compute::misc::shape_calculator::compute_transposeconv_upsampled_shape(), arm_compute::CLPadLayerEx::configure(), arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::NEReduceSum::configure(), arm_compute::NEReduceOperation::configure(), arm_compute::NETransposeConvLayer::configure(), enco::CppCode::dump(), exo::circle_detail::exportOpDefinedTensor(), exo::tflite_detail::exportOpDefinedTensor(), enco::generate_global_data(), nnfw_session::input_tensorinfo(), onert::backend::acl_common::kernelGenPool2D(), luci::layer_info_map(), nnfw::loadFunction(), main(), nnfw_register_custom_op_info(), nnfw_train_expected_tensorinfo(), nnfw_train_get_traininfo(), nnfw_train_input_tensorinfo(), nnfw_train_set_traininfo(), exo::ProgressReporter::notify(), luci::ProgressReporter::notify(), luci::ModuleProgressReporter::notify(), moco::tf::ProgressReporter::notify(), exo::ProgressReporter::notify(), luci::ProgressReporter::notify(), luci::ModuleProgressReporter::notify(), moco::tf::ProgressReporter::notify(), logo::PhaseRunnerMixinObservable::notifyPassBegin(), logo::PhaseRunnerMixinObservable::notifyPassEnd(), logo::PhaseRunnerMixinObservable::notifyPhaseBegin(), logo::PhaseRunnerMixinObservable::notifyPhaseEnd(), nnfw_session::output_tensorinfo(), onert::backend::cl_common::BackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator >::planTensors(), onert::backend::basic::planTensors(), luci::CircleQuantizer::quantize(), onert::backend::train::TensorBuilder::registerBackwardTensorInfo(), onert::backend::acl_common::AclTensorBuilder< T_ITensor, T_Tensor, T_SubTensor >::registerTensorInfo(), onert::backend::train::TensorBuilder::registerTensorInfo(), onert::backend::basic::TensorBuilder::registerTensorInfo(), onert::backend::builtin::TensorBuilder::registerTensorInfo(), onert::backend::acl_common::AclBackendContext< T_TensorBuilder, T_ConstantInitializer, T_KernelGenerator, T_Optimizer >::registerTensorInfo(), onert::backend::gpu_cl::BackendContext::registerTensorInfo(), onert::backend::gpu_cl::TensorBuilder::registerTensorInfo(), arm_compute::NECastBoolKernel::run(), arm_compute::NEEmbeddingLookupKernel::run(), arm_compute::NEGatherKernelEx::run(), arm_compute::NEGEMMMatrixAccumulateBiasesKernel::run(), arm_compute::NEHashtableLookupKernel::run(), arm_compute::NEInstanceNormalizationLayerKernelEx::run(), arm_compute::NEMultiplyScaleFactorKernel::run(), arm_compute::NEOneHotKernel::run(), arm_compute::NEQuantizationSymmetricKernel::run(), onert::backend::trix::setDataInfo(), onert::exec::Execution::setInput(), onert::exec::Execution::setInput(), onert::exec::Execution::setOutput(), onert::exec::Execution::setOutput(), nnfw_session::train_get_traininfo(), nnfw_session::train_set_traininfo(), arm_compute::transposeconv_output_dimensions(), arm_compute::CLPadLayerEx::validate(), arm_compute::NETransposeConvLayer::validate(), and arm_compute::CLDirectTransposeConvLayer::validate().

    diff --git a/_p_a_l_softmax_common_8h.html b/luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h.html similarity index 94% rename from _p_a_l_softmax_common_8h.html rename to luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h.html index 13eeb61c110..55ab51ce061 100644 --- a/_p_a_l_softmax_common_8h.html +++ b/luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h.html @@ -63,7 +63,7 @@

    @@ -114,7 +114,7 @@ diff --git a/luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h.js b/luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h.js new file mode 100644 index 00000000000..c741d8a7c8b --- /dev/null +++ b/luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h.js @@ -0,0 +1,4 @@ +var luci_interpreter_2pal_2common_2_p_a_l_softmax_common_8h = +[ + [ "Softmax", "luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h.html#ae63c57675d1cfca5c313c2fff99a8177", null ] +]; \ No newline at end of file diff --git a/_p_a_l_softmax_common_8h_source.html b/luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h_source.html similarity index 97% rename from _p_a_l_softmax_common_8h_source.html rename to luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h_source.html index eda18a1977d..219dde0dc29 100644 --- a/_p_a_l_softmax_common_8h_source.html +++ b/luci-interpreter_2pal_2common_2_p_a_l_softmax_common_8h_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    PALSoftmaxCommon.h
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
    3 * Copyright 2017 The TensorFlow Authors. All Rights Reserved.
    4 *
    @@ -171,7 +171,7 @@ diff --git a/luci-pass-value-py-test_2test__luci__eval_8py_source.html b/luci-pass-value-py-test_2test__luci__eval_8py_source.html index 41e85510fb2..d0ed1d99231 100644 --- a/luci-pass-value-py-test_2test__luci__eval_8py_source.html +++ b/luci-pass-value-py-test_2test__luci__eval_8py_source.html @@ -190,40 +190,35 @@
    90 if full_signatures_outputs_remap != None:
    91 output_tensor = full_signatures_outputs_remap[idx]
    92 intp_output_data = interpreter.get_tensor(output_tensor)
    -
    93 if output_details["dtype"] == np.uint8:
    -
    94 assert np.allclose(
    -
    95 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    96 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    +
    93 err_msg = "Execution result of " + tflite_model + " does not match with " + circle_model
    +
    94 if output_details["dtype"] == np.uint8:
    +
    95 assert np.allclose(
    +
    96 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint), err_msg
    97 elif output_details["dtype"] == np.float32:
    98 assert np.allclose(
    -
    99 luci_output_data, intp_output_data, rtol=rtolf32, atol=atolf32
    -
    100 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    101 elif output_details["dtype"] == np.int64:
    -
    102 assert np.allclose(
    -
    103 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    104 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    105 elif output_details["dtype"] == np.int32:
    -
    106 assert np.allclose(
    -
    107 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    108 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    109 elif output_details["dtype"] == np.int16:
    +
    99 luci_output_data, intp_output_data, rtol=rtolf32, atol=atolf32), err_msg
    +
    100 elif output_details["dtype"] == np.int64:
    +
    101 assert np.allclose(
    +
    102 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint), err_msg
    +
    103 elif output_details["dtype"] == np.int32:
    +
    104 assert np.allclose(
    +
    105 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint), err_msg
    +
    106 elif output_details["dtype"] == np.int16:
    +
    107 assert np.allclose(
    +
    108 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint), err_msg
    +
    109 elif output_details["dtype"] == np.bool_:
    110 assert np.allclose(
    -
    111 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    112 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    113 elif output_details["dtype"] == np.bool_:
    -
    114 assert np.allclose(
    -
    115 luci_output_data, intp_output_data, rtol=0, atol=0
    -
    116 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    117 else:
    -
    118 assert False, "Unsupported data type: " + output_details["dtype"]
    -
    119
    -
    120
    -
    121# arguments must be in sync with `conftest.py`
    +
    111 luci_output_data, intp_output_data, rtol=0, atol=0), err_msg
    +
    112 else:
    +
    113 assert False, "Unsupported data type: " + output_details["dtype"]
    +
    114
    +
    115
    +
    116# arguments must be in sync with `conftest.py`
    -
    -
    122def test_luci_eval(test_name: str, tflite_dir: str, circle_dir: str,
    -
    123 eval_driver_path: str):
    -
    124 luci_eval_verify(test_name, tflite_dir, circle_dir, eval_driver_path)
    +
    +
    117def test_luci_eval(test_name: str, tflite_dir: str, circle_dir: str,
    +
    118 eval_driver_path: str):
    +
    119 luci_eval_verify(test_name, tflite_dir, circle_dir, eval_driver_path)
    luci_eval_verify(test_name, tflite_dir, circle_dir, eval_driver, rtolf32=1e-5, atolf32=1e-5)
    diff --git a/luci-ref-value-py-test_2conftest_8py.html b/luci-ref-value-py-test_2conftest_8py.html new file mode 100644 index 00000000000..dc9e9292d2b --- /dev/null +++ b/luci-ref-value-py-test_2conftest_8py.html @@ -0,0 +1,133 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/luci-ref-value-py-test/conftest.py File Reference + + + + + + + + + + + + + +
    +
    +

    Namespaces

    + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + + +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    + +
    conftest.py File Reference
    +
    +
    + +

    Go to the source code of this file.

    + + + + +

    +Namespaces

    namespace  conftest
     
    + + + + + + + + + + + + + + + +

    +Functions

     conftest.extract_test_args (s)
     
     conftest.pytest_addoption (parser)
     
     conftest.copy_if_changed (src_filepath, dst_filepath)
     
     conftest.copy_ref_files (ref_file_src, ref_file_dst)
     
     conftest.copy_circle_model (model_src, model_dst)
     
     conftest.prepare_materials (test_name, tflrecipe_path, binary_path, artifacts_path)
     
     conftest.pytest_generate_tests (metafunc)
     
    +
    +
    + + + + diff --git a/luci-ref-value-py-test_2conftest_8py.js b/luci-ref-value-py-test_2conftest_8py.js new file mode 100644 index 00000000000..13d855554e7 --- /dev/null +++ b/luci-ref-value-py-test_2conftest_8py.js @@ -0,0 +1,10 @@ +var luci_ref_value_py_test_2conftest_8py = +[ + [ "copy_circle_model", "luci-ref-value-py-test_2conftest_8py.html#a75d62488b4b7d872c21a4b73a41e0a4a", null ], + [ "copy_if_changed", "luci-ref-value-py-test_2conftest_8py.html#a0e47fc8f1e3bdd68017a9ad7cb295761", null ], + [ "copy_ref_files", "luci-ref-value-py-test_2conftest_8py.html#a9efc4c6a0c69ad25f607736492181581", null ], + [ "extract_test_args", "luci-ref-value-py-test_2conftest_8py.html#af477898ec1680a5189af3ab5eca4fdcb", null ], + [ "prepare_materials", "luci-ref-value-py-test_2conftest_8py.html#a7e2da5bd192340344f3a033e4adc7aa8", null ], + [ "pytest_addoption", "luci-ref-value-py-test_2conftest_8py.html#a61c7cced37dffae2b2c6edf883c44c12", null ], + [ "pytest_generate_tests", "luci-ref-value-py-test_2conftest_8py.html#a4c9f38a95a92b4f580fb13c0e6b58373", null ] +]; \ No newline at end of file diff --git a/luci-ref-value-py-test_2conftest_8py_source.html b/luci-ref-value-py-test_2conftest_8py_source.html new file mode 100644 index 00000000000..b8472be9d8a --- /dev/null +++ b/luci-ref-value-py-test_2conftest_8py_source.html @@ -0,0 +1,230 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/luci-ref-value-py-test/conftest.py Source File + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +
    conftest.py
    +
    +
    +Go to the documentation of this file.
    1import re
    +
    2import os
    +
    3import shutil
    +
    4
    +
    5
    +
    6def extract_test_args(s):
    +
    7 p = re.compile('eval\\((.*)\\)')
    +
    8 result = p.search(s)
    +
    9 return result.group(1)
    +
    10
    +
    11
    +
    12def pytest_addoption(parser):
    +
    13 parser.addoption("--test_list", action="store", help="Path to test list")
    +
    14 parser.addoption("--artifacts", action="store", help="Path to test artifacts")
    +
    15 parser.addoption("--tflrecipe", action="store", help="Path to tfl recipies")
    +
    16 parser.addoption("--binary", action="store", help="Path to test binary")
    +
    17 parser.addoption(
    +
    18 "--luci_eval_driver", action="store", help="Path to luci eval driver")
    +
    19
    +
    20
    +
    +
    21def copy_if_changed(src_filepath, dst_filepath):
    +
    22 do_copy = False
    +
    23 if (os.path.isfile(dst_filepath)):
    +
    24 file_diff = os.stat(src_filepath).st_mtime - os.stat(dst_filepath).st_mtime
    +
    25 if file_diff > 1:
    +
    26 print("file:" + src_filepath + " changed, update")
    +
    27 do_copy = True
    +
    28 else:
    +
    29 do_copy = True
    +
    30
    +
    31 if do_copy:
    +
    32 print("file:" + src_filepath + " copy to: " + dst_filepath)
    +
    33 shutil.copyfile(src_filepath, dst_filepath)
    +
    34
    +
    35
    +
    36# prepare reference input/output files to build folder for luci-eval-driver
    +
    37# from ref data in res/TensorFlowLiteRecipes/*/ref.input* and ref.output*
    +
    38# as model_name.ref.input* and model_name.ref.output*
    +
    +
    +
    39def copy_ref_files(ref_file_src, ref_file_dst):
    +
    40 num_data = 0
    +
    41 while True:
    +
    42 input_file_src = ref_file_src + str(num_data)
    +
    43 if (not os.path.isfile(input_file_src)):
    +
    44 break
    +
    45 input_file_dst = ref_file_dst + str(num_data)
    +
    46 copy_if_changed(input_file_src, input_file_dst)
    +
    47 # try next file
    +
    48 num_data = num_data + 1
    +
    49
    +
    50
    +
    51# copy circle mode from common-artifacts to build binary
    +
    +
    +
    52def copy_circle_model(model_src, model_dst):
    +
    53 copy_if_changed(model_src, model_dst)
    +
    54
    +
    55
    +
    +
    +
    56def prepare_materials(test_name, tflrecipe_path, binary_path, artifacts_path):
    +
    57 ref_input_src = os.path.join(tflrecipe_path, test_name, 'ref.input')
    +
    58 ref_input_dst = os.path.join(binary_path, test_name + '.ref.input')
    +
    59 copy_ref_files(ref_input_src, ref_input_dst)
    +
    60
    +
    61 ref_input_src = os.path.join(tflrecipe_path, test_name, 'ref.output')
    +
    62 ref_input_dst = os.path.join(binary_path, test_name + '.ref.output')
    +
    63 copy_ref_files(ref_input_src, ref_input_dst)
    +
    64
    +
    65 cirle_model_src = os.path.join(artifacts_path, test_name + '.circle')
    +
    66 cicle_model_dst = os.path.join(binary_path, test_name + '.circle')
    +
    67 copy_circle_model(cirle_model_src, cicle_model_dst)
    +
    68
    +
    69
    +
    +
    70def pytest_generate_tests(metafunc):
    +
    71 list_path = metafunc.config.getoption('test_list')
    +
    72 artifacts_path = metafunc.config.getoption('artifacts')
    +
    73 tflrecipe_path = metafunc.config.getoption('tflrecipe')
    +
    74 binary_path = metafunc.config.getoption('binary')
    +
    75 eval_driver_path = metafunc.config.getoption('luci_eval_driver')
    +
    76 if list_path is None:
    +
    77 tests_default_tol = []
    +
    78 tests_with_tol = []
    +
    79 else:
    +
    80 with open(list_path) as f:
    +
    81 contents = [line.rstrip() for line in f]
    +
    82
    +
    83 comment_removed = [line for line in contents if not line.startswith('#')]
    +
    84 newline_removed = [line for line in comment_removed if line.startswith('eval(')]
    +
    85 test_args = [extract_test_args(line) for line in newline_removed]
    +
    86 # eval(TEST_NAME)
    +
    87 tests_default_tol = [(arg, binary_path, eval_driver_path) for arg in test_args
    +
    88 if len(arg.split()) == 1]
    +
    89 # eval(TEST_NAME RTOL ATOL)
    +
    90 tests_with_tol = [(arg.split()[0], binary_path, eval_driver_path, arg.split()[1],
    +
    91 arg.split()[2]) for arg in test_args if len(arg.split()) == 3]
    +
    92
    +
    93 # copy circle file to binary
    +
    94 for test_item in tests_default_tol:
    +
    95 prepare_materials(test_item[0], tflrecipe_path, binary_path, artifacts_path)
    +
    96
    +
    97 for test_item in tests_with_tol:
    +
    98 prepare_materials(test_item[0], tflrecipe_path, binary_path, artifacts_path)
    +
    99
    +
    100 if 'default_test_name' in metafunc.fixturenames:
    +
    101 metafunc.parametrize('default_test_name,binary_path,eval_driver_path',
    +
    102 tests_default_tol)
    +
    103
    +
    104 if 'tol_test_name' in metafunc.fixturenames:
    +
    105 metafunc.parametrize('tol_test_name,binary_path,eval_driver_path,rtolf32,atolf32',
    +
    106 tests_with_tol)
    +
    copy_if_changed(src_filepath, dst_filepath)
    Definition conftest.py:21
    +
    pytest_generate_tests(metafunc)
    Definition conftest.py:17
    +
    copy_circle_model(model_src, model_dst)
    Definition conftest.py:52
    +
    prepare_materials(test_name, tflrecipe_path, binary_path, artifacts_path)
    Definition conftest.py:56
    +
    copy_ref_files(ref_file_src, ref_file_dst)
    Definition conftest.py:39
    +
    extract_test_args(s)
    Definition conftest.py:4
    +
    +
    + + + + diff --git a/luci-ref-value-py-test_2test__luci__eval_8py.html b/luci-ref-value-py-test_2test__luci__eval_8py.html new file mode 100644 index 00000000000..61b7e84da80 --- /dev/null +++ b/luci-ref-value-py-test_2test__luci__eval_8py.html @@ -0,0 +1,133 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/luci-ref-value-py-test/test_luci_eval.py File Reference + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
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    + +
    test_luci_eval.py File Reference
    +
    +
    + +

    Go to the source code of this file.

    + + + + +

    +Namespaces

    namespace  test_luci_eval
     
    + + + + + + + + + + + + + + + +

    +Functions

     test_luci_eval.recover_fromfile (path, test_name, suffix)
     
     test_luci_eval.recover_inputs (path, test_name)
     
     test_luci_eval.recover_outputs (path, test_name)
     
     test_luci_eval.save_binary_inputs (path, test_name, num_inputs, input_shape, input_dtype, input_data)
     
     test_luci_eval.luci_eval_verify (test_name, binary_path, eval_driver, rtolf32=1e-5, atolf32=1e-5)
     
     test_luci_eval.test_luci_eval (str default_test_name, str binary_path, str eval_driver_path)
     
     test_luci_eval.test_luci_eval_tol (str tol_test_name, str binary_path, str eval_driver_path, str rtolf32, str atolf32)
     
    +
    +
    + + + + diff --git a/luci-ref-value-py-test_2test__luci__eval_8py.js b/luci-ref-value-py-test_2test__luci__eval_8py.js new file mode 100644 index 00000000000..64d696bd9df --- /dev/null +++ b/luci-ref-value-py-test_2test__luci__eval_8py.js @@ -0,0 +1,10 @@ +var luci_ref_value_py_test_2test__luci__eval_8py = +[ + [ "luci_eval_verify", "luci-ref-value-py-test_2test__luci__eval_8py.html#a031d8185f1be6e03a3fbda989a7b9070", null ], + [ "recover_fromfile", "luci-ref-value-py-test_2test__luci__eval_8py.html#a033016b5ca8d85015c56f67706e07fe8", null ], + [ "recover_inputs", "luci-ref-value-py-test_2test__luci__eval_8py.html#a869bc35a187205c11afbee3023ed1373", null ], + [ "recover_outputs", "luci-ref-value-py-test_2test__luci__eval_8py.html#ab58859b5bab4a4e3b95e52e0d030e07a", null ], + [ "save_binary_inputs", "luci-ref-value-py-test_2test__luci__eval_8py.html#a640d96b5d00ab853c185725ffe4a140b", null ], + [ "test_luci_eval", "luci-ref-value-py-test_2test__luci__eval_8py.html#a9a927666210565341f0024ca281c765e", null ], + [ "test_luci_eval_tol", "luci-ref-value-py-test_2test__luci__eval_8py.html#a6ccfad5e1f12f70feb5c2e391921a5da", null ] +]; \ No newline at end of file diff --git a/luci-ref-value-py-test_2test__luci__eval_8py_source.html b/luci-ref-value-py-test_2test__luci__eval_8py_source.html new file mode 100644 index 00000000000..31e845fac96 --- /dev/null +++ b/luci-ref-value-py-test_2test__luci__eval_8py_source.html @@ -0,0 +1,261 @@ + + + + + + + +ONE - On-device Neural Engine: compiler/luci-ref-value-py-test/test_luci_eval.py Source File + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + + +
    +
    + +
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    +
    test_luci_eval.py
    +
    +
    +Go to the documentation of this file.
    1import numpy as np
    +
    2import subprocess
    +
    3import os
    +
    4
    +
    5
    +
    6# read input/output data files model_name.ref.input* and
    +
    7# model_name.ref.output* and return the contents
    +
    +
    8def recover_fromfile(path, test_name, suffix):
    +
    9 # .ref file format
    +
    10 # 1'st line is shape, i.e. "2,4"
    +
    11 # 2'nd line is dtype, i.e. "float32"
    +
    12 # 3'rd line is comma seperated values
    +
    13 ref_filename = test_name + ".ref." + suffix
    +
    14 ref_datapath = os.path.join(path, ref_filename)
    +
    15
    +
    16 num_data = 0
    +
    17 parse_shape = []
    +
    18 parse_dtype = []
    +
    19 parse_value = []
    +
    20
    +
    21 while True:
    +
    22 refnum_filepath = ref_datapath + str(num_data)
    +
    23 if (not os.path.isfile(refnum_filepath)):
    +
    24 break
    +
    25 with open(refnum_filepath, "r") as ref_file:
    +
    26 lines = ref_file.readlines()
    +
    27 assert len(lines) >= 3, "Invalid file: " + ref_filename + str(num_data)
    +
    28 print("load reference data from", test_name)
    +
    29 shape = [int(i) for i in lines[0].split(",")]
    +
    30 dtype = lines[1].strip("\r\n \t")
    +
    31 if dtype == "float32":
    +
    32 value = [float(i) for i in lines[2].split(",")]
    +
    33 else:
    +
    34 assert False, "Unsupported data type: " + dtype
    +
    35
    +
    36 # validate shape and number of elements
    +
    37 num_elements = 1
    +
    38 for dim in shape:
    +
    39 num_elements = num_elements * dim
    +
    40 if num_elements != len(value):
    +
    41 assert False, "Number of value elements do not match with shape"
    +
    42
    +
    43 parse_shape.append(shape)
    +
    44 parse_dtype.append(dtype)
    +
    45 parse_value.append(value)
    +
    46
    +
    47 num_data = num_data + 1
    +
    48
    +
    49 return num_data, parse_shape, parse_dtype, parse_value
    +
    50
    +
    51
    +
    +
    +
    52def recover_inputs(path, test_name):
    +
    53 return recover_fromfile(path, test_name, "input")
    +
    54
    +
    55
    +
    +
    +
    56def recover_outputs(path, test_name):
    +
    57 return recover_fromfile(path, test_name, "output")
    +
    58
    +
    59
    +
    60# save reference data to input files for luci-eval-driver
    +
    +
    +
    61def save_binary_inputs(path, test_name, num_inputs, input_shape, input_dtype, input_data):
    +
    62 circle_inputpath = os.path.join(path, test_name + ".circle.input")
    +
    63 for index in range(0, num_inputs):
    +
    64 # reference input value
    +
    65 if input_dtype[index] == "float32":
    +
    66 nps = np.asarray(input_data[index], dtype=np.float32)
    +
    67 nps.tofile(circle_inputpath + str(index))
    +
    68 else:
    +
    69 assert False, "Unsupported data type: " + input_dtype[index]
    +
    70 # reference input shape
    +
    71 nps = np.asarray(input_shape[index], dtype=np.short)
    +
    72 nps.tofile(circle_inputpath + str(index) + ".shape", sep=",")
    +
    73 # reference input dtype
    +
    74 with open(circle_inputpath + str(index) + ".dtype", "w") as dtype_file:
    +
    75 dtype_file.write(input_dtype[index])
    +
    76
    +
    77
    +
    +
    +
    78def luci_eval_verify(test_name, binary_path, eval_driver, rtolf32=1e-5, atolf32=1e-5):
    +
    79 circle_model = os.path.join(binary_path, test_name + ".circle")
    +
    80
    +
    81 num_inputs, input_shape, input_dtype, input_data = recover_inputs(
    +
    82 binary_path, test_name)
    +
    83 assert num_inputs > 0, "No valid reference input file"
    +
    84 save_binary_inputs(binary_path, test_name, num_inputs, input_shape, input_dtype,
    +
    85 input_data)
    +
    86
    +
    87 num_ouputs, output_shape, output_dtype, output_data = recover_outputs(
    +
    88 binary_path, test_name)
    +
    89 assert num_ouputs > 0, "No valid reference output file"
    +
    90
    +
    91 # Execute luci interpreter.
    +
    92 subprocess.run(
    +
    93 [
    +
    94 eval_driver, circle_model,
    +
    95 str(num_inputs), circle_model + ".input", circle_model + ".output"
    +
    96 ],
    +
    97 check=True)
    +
    98
    +
    99 # Compare the results.
    +
    100 for idx in range(num_ouputs):
    +
    101 luci_output_data = np.fromfile(circle_model + ".output" + str(idx),
    +
    102 output_dtype[idx])
    +
    103 luci_output_data = np.reshape(luci_output_data, output_shape[idx])
    +
    104 ref_output_data = np.reshape(output_data[idx], output_shape[idx])
    +
    105
    +
    106 show_vals_and_stop = False
    +
    107 if output_dtype[idx] == "float32":
    +
    108 if not np.allclose(
    +
    109 luci_output_data, ref_output_data, rtol=rtolf32, atol=atolf32):
    +
    110 show_vals_and_stop = True
    +
    111 else:
    +
    112 assert False, "Unsupported data type: " + output_dtype[idx]
    +
    113
    +
    114 if show_vals_and_stop:
    +
    115 print("\nreference:\n", ref_output_data)
    +
    116 print("luci:\n", luci_output_data)
    +
    117 message = "Execution result of " + test_name + " does not match with reference"
    +
    118 assert False, message
    +
    119
    +
    120
    +
    121# arguments must be in sync with `conftest.py`
    +
    +
    +
    122def test_luci_eval(default_test_name: str, binary_path: str, eval_driver_path: str):
    +
    123 luci_eval_verify(default_test_name, binary_path, eval_driver_path)
    +
    124
    +
    125
    +
    126# arguments must be in sync with `conftest.py`
    +
    +
    +
    127def test_luci_eval_tol(tol_test_name: str, binary_path: str, eval_driver_path: str,
    +
    128 rtolf32: str, atolf32: str):
    +
    129 luci_eval_verify(tol_test_name, binary_path, eval_driver_path, float(rtolf32),
    +
    130 float(atolf32))
    +
    + +
    recover_fromfile(path, test_name, suffix)
    +
    save_binary_inputs(path, test_name, num_inputs, input_shape, input_dtype, input_data)
    +
    test_luci_eval_tol(str tol_test_name, str binary_path, str eval_driver_path, str rtolf32, str atolf32)
    +
    recover_inputs(path, test_name)
    +
    recover_outputs(path, test_name)
    +
    luci_eval_verify(test_name, tflite_dir, circle_dir, eval_driver, rtolf32=1e-5, atolf32=1e-5)
    +
    +
    + + + + diff --git a/luci-value-py-test_2test__luci__eval_8py.html b/luci-value-py-test_2test__luci__eval_8py.html index 12a597da487..4491ce259af 100644 --- a/luci-value-py-test_2test__luci__eval_8py.html +++ b/luci-value-py-test_2test__luci__eval_8py.html @@ -105,12 +105,12 @@
    - - - - - - + + + + + +

    Functions

     test_luci_eval.luci_eval_verify (test_name, artifacts, eval_driver, rtolf32=1e-5, atolf32=1e-5)
     
     test_luci_eval.test_luci_eval (str default_test_name, str artifacts_path, str eval_driver_path)
     
     test_luci_eval.test_luci_eval_tol (str tol_test_name, str artifacts_path, str eval_driver_path, str rtolf32, str atolf32)
     
     test_luci_eval.luci_eval_verify (test_name, binary_path, eval_driver, rtolf32=1e-5, atolf32=1e-5)
     
     test_luci_eval.test_luci_eval (str default_test_name, str binary_path, str eval_driver_path)
     
     test_luci_eval.test_luci_eval_tol (str tol_test_name, str binary_path, str eval_driver_path, str rtolf32, str atolf32)
     
    diff --git a/luci-value-py-test_2test__luci__eval_8py.js b/luci-value-py-test_2test__luci__eval_8py.js index bebb0bfb888..276198143de 100644 --- a/luci-value-py-test_2test__luci__eval_8py.js +++ b/luci-value-py-test_2test__luci__eval_8py.js @@ -1,6 +1,6 @@ var luci_value_py_test_2test__luci__eval_8py = [ - [ "luci_eval_verify", "luci-value-py-test_2test__luci__eval_8py.html#a07385bfad9fcb7dfe8ffa866ca107435", null ], - [ "test_luci_eval", "luci-value-py-test_2test__luci__eval_8py.html#a70c3a5a475ab62279ba635beb8e86e5f", null ], - [ "test_luci_eval_tol", "luci-value-py-test_2test__luci__eval_8py.html#a12d14b923ce3004377e1bca201528303", null ] + [ "luci_eval_verify", "luci-value-py-test_2test__luci__eval_8py.html#a031d8185f1be6e03a3fbda989a7b9070", null ], + [ "test_luci_eval", "luci-value-py-test_2test__luci__eval_8py.html#a9a927666210565341f0024ca281c765e", null ], + [ "test_luci_eval_tol", "luci-value-py-test_2test__luci__eval_8py.html#a6ccfad5e1f12f70feb5c2e391921a5da", null ] ]; \ No newline at end of file diff --git a/luci-value-py-test_2test__luci__eval_8py_source.html b/luci-value-py-test_2test__luci__eval_8py_source.html index 884b67e20ed..0f1fca23117 100644 --- a/luci-value-py-test_2test__luci__eval_8py_source.html +++ b/luci-value-py-test_2test__luci__eval_8py_source.html @@ -103,8 +103,7 @@
    4import os
    5
    6
    -
    -
    7def luci_eval_verify(test_name, artifacts, eval_driver, rtolf32=1e-5, atolf32=1e-5):
    +
    7def luci_eval_verify(test_name, artifacts, eval_driver, rtolf32=1e-5, atolf32=1e-5):
    8 tflite_model = os.path.join(artifacts, test_name + ".tflite")
    9 circle_model = os.path.join(artifacts, test_name + ".circle")
    10
    @@ -195,62 +194,50 @@
    95 if full_signatures_outputs_remap != None:
    96 output_tensor = full_signatures_outputs_remap[idx]
    97 intp_output_data = interpreter.get_tensor(output_tensor)
    -
    98 if output_details["dtype"] == np.uint8:
    -
    99 assert np.allclose(
    -
    100 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    101 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    +
    98 err_msg = "Execution result of " + tflite_model + " does not match with " + circle_model
    +
    99 if output_details["dtype"] == np.uint8:
    +
    100 assert np.allclose(
    +
    101 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint), err_msg
    102 output_dtype = "uint8"
    103 elif output_details["dtype"] == np.float32:
    104 assert np.allclose(
    -
    105 luci_output_data, intp_output_data, rtol=rtolf32, atol=atolf32
    -
    106 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    107 output_dtype = "float32"
    -
    108 elif output_details["dtype"] == np.int64:
    -
    109 assert np.allclose(
    -
    110 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    111 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    112 output_dtype = "int64"
    -
    113 elif output_details["dtype"] == np.int32:
    -
    114 assert np.allclose(
    -
    115 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    116 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    117 output_dtype = "int32"
    -
    118 elif output_details["dtype"] == np.int16:
    -
    119 assert np.allclose(
    -
    120 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    121 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    122 output_dtype = "int16"
    -
    123 elif output_details["dtype"] == np.bool_:
    -
    124 assert np.allclose(
    -
    125 luci_output_data, intp_output_data, rtol=0, atol=0
    -
    126 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    127 output_dtype = "bool"
    -
    128 else:
    -
    129 assert False, "Unsupported data type: " + output_details["dtype"]
    +
    105 luci_output_data, intp_output_data, rtol=rtolf32, atol=atolf32), err_msg
    +
    106 output_dtype = "float32"
    +
    107 elif output_details["dtype"] == np.int64:
    +
    108 assert np.allclose(
    +
    109 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint), err_msg
    +
    110 output_dtype = "int64"
    +
    111 elif output_details["dtype"] == np.int32:
    +
    112 assert np.allclose(
    +
    113 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint), err_msg
    +
    114 output_dtype = "int32"
    +
    115 elif output_details["dtype"] == np.int16:
    +
    116 assert np.allclose(
    +
    117 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint), err_msg
    +
    118 output_dtype = "int16"
    +
    119 elif output_details["dtype"] == np.bool_:
    +
    120 assert np.allclose(
    +
    121 luci_output_data, intp_output_data, rtol=0, atol=0), err_msg
    +
    122 output_dtype = "bool"
    +
    123 else:
    +
    124 assert False, "Unsupported data type: " + output_details["dtype"]
    +
    125
    +
    126 # save outputN.dtype file
    +
    127 with open(circle_model + ".output" + str(idx) + ".dtype", 'w') as dtype_file:
    +
    128 dtype_file.write(output_dtype)
    +
    129
    130
    -
    131 # save outputN.dtype file
    -
    132 with open(circle_model + ".output" + str(idx) + ".dtype", 'w') as dtype_file:
    -
    133 dtype_file.write(output_dtype)
    +
    131# arguments must be in sync with `conftest.py`
    +
    132def test_luci_eval(default_test_name: str, artifacts_path: str, eval_driver_path: str):
    +
    133 luci_eval_verify(default_test_name, artifacts_path, eval_driver_path)
    134
    135
    136# arguments must be in sync with `conftest.py`
    -
    -
    -
    137def test_luci_eval(default_test_name: str, artifacts_path: str, eval_driver_path: str):
    -
    138 luci_eval_verify(default_test_name, artifacts_path, eval_driver_path)
    -
    139
    -
    140
    -
    141# arguments must be in sync with `conftest.py`
    -
    -
    -
    142def test_luci_eval_tol(tol_test_name: str, artifacts_path: str, eval_driver_path: str,
    -
    143 rtolf32: str, atolf32: str):
    -
    144 luci_eval_verify(tol_test_name, artifacts_path, eval_driver_path, float(rtolf32),
    -
    145 float(atolf32))
    -
    +
    137def test_luci_eval_tol(tol_test_name: str, artifacts_path: str, eval_driver_path: str,
    +
    138 rtolf32: str, atolf32: str):
    +
    139 luci_eval_verify(tol_test_name, artifacts_path, eval_driver_path, float(rtolf32),
    +
    140 float(atolf32))
    -
    test_luci_eval_tol(str tol_test_name, str artifacts_path, str eval_driver_path, str rtolf32, str atolf32)
    -
    luci_eval_verify(test_name, tflite_dir, circle_dir, eval_driver, rtolf32=1e-5, atolf32=1e-5)
    diff --git a/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h.html b/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h.html index 808c94b211e..9ab3e697a34 100644 --- a/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h.html +++ b/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h.html @@ -100,7 +100,7 @@ #include <loco/IR/Node.h>
    #include <loco/IR/NodeMixins.h>
    #include <luci/IR/PropertyShapeStatus.h>
    -#include "CircleOpcode.h"
    +#include "CircleOpcode.h"
    #include "CircleNodeVisitor.forward.h"
    #include "CircleQuantParam.h"
    #include "SparsityParam.h"
    diff --git a/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h_source.html b/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h_source.html index b6abf092bed..628890061b7 100644 --- a/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h_source.html +++ b/luci_2lang_2include_2luci_2_i_r_2_circle_node_decl_8h_source.html @@ -121,7 +121,7 @@
    22#include <loco/IR/NodeMixins.h>
    24
    -
    25#include "CircleOpcode.h"
    +
    25#include "CircleOpcode.h"
    27#include "CircleQuantParam.h"
    28#include "SparsityParam.h"
    @@ -203,10 +203,10 @@ - +
    std::string NodeName
    - +
    ShapeStatus
    ShapeStatus is to remember circle node shape status.
    diff --git a/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.js b/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.js deleted file mode 100644 index 7010a762dad..00000000000 --- a/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.js +++ /dev/null @@ -1,9 +0,0 @@ -var luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h = -[ - [ "CIRCLE_NODE", "luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html#a0bf95843a4ca2404557403f869f84fc3", null ], - [ "CIRCLE_VNODE", "luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html#a8bd1e3a70df2bcae5c3105526130878c", null ], - [ "CircleOpcode", "luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html#a311e4e8fc7a65afbda7a68d7a12d3ffc", [ - [ "CIRCLE_NODE", "luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html#a311e4e8fc7a65afbda7a68d7a12d3ffcace20b93d18f40841aa5b47b9632076a6", null ], - [ "CIRCLE_VNODE", "luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html#a311e4e8fc7a65afbda7a68d7a12d3ffca8ddfc2d3f241acbc6d6c569ee4c71246", null ] - ] ] -]; \ No newline at end of file diff --git a/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html b/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html similarity index 89% rename from luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html rename to luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html index bd0cc6a1a6f..dad5bc6af88 100644 --- a/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h.html +++ b/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html @@ -63,7 +63,7 @@
    @@ -98,7 +98,7 @@
    #include "CircleNodes.lst"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -107,9 +107,9 @@

    Namespaces

    - + - +

    Macros

    #define CIRCLE_NODE(OPCODE, CLASS)   OPCODE,
    #define CIRCLE_NODE(OPCODE, CLASS)   OPCODE,
     
    #define CIRCLE_VNODE   CIRCLE_NODE
    #define CIRCLE_VNODE   CIRCLE_NODE
     

    @@ -146,7 +146,7 @@

    -

    Definition at line 25 of file CircleOpcode.h.

    +

    Definition at line 25 of file CircleOpcode.h.

    @@ -162,7 +162,7 @@

    -

    Definition at line 26 of file CircleOpcode.h.

    +

    Definition at line 26 of file CircleOpcode.h.

    @@ -171,7 +171,7 @@

    diff --git a/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.js b/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.js new file mode 100644 index 00000000000..996d6e245bd --- /dev/null +++ b/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.js @@ -0,0 +1,9 @@ +var luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h = +[ + [ "CIRCLE_NODE", "luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html#a0bf95843a4ca2404557403f869f84fc3", null ], + [ "CIRCLE_VNODE", "luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html#a8bd1e3a70df2bcae5c3105526130878c", null ], + [ "CircleOpcode", "luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html#a311e4e8fc7a65afbda7a68d7a12d3ffc", [ + [ "CIRCLE_NODE", "luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html#a311e4e8fc7a65afbda7a68d7a12d3ffcace20b93d18f40841aa5b47b9632076a6", null ], + [ "CIRCLE_VNODE", "luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h.html#a311e4e8fc7a65afbda7a68d7a12d3ffca8ddfc2d3f241acbc6d6c569ee4c71246", null ] + ] ] +]; \ No newline at end of file diff --git a/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h_source.html b/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h_source.html similarity index 92% rename from luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h_source.html rename to luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h_source.html index 21cfc63d654..f5a72fd16b0 100644 --- a/luci_2lang_2include_2luci_2_i_r_2_circle_op_code_8h_source.html +++ b/luci_2lang_2include_2luci_2_i_r_2_circle_opcode_8h_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    CircleOpcode.h
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -122,8 +122,8 @@
    23enum class CircleOpcode
    24{
    -
    25#define CIRCLE_NODE(OPCODE, CLASS) OPCODE,
    -
    26#define CIRCLE_VNODE CIRCLE_NODE
    +
    25#define CIRCLE_NODE(OPCODE, CLASS) OPCODE,
    +
    26#define CIRCLE_VNODE CIRCLE_NODE
    27#include "CircleNodes.lst"
    28#undef CIRCLE_VNODE
    29#undef CIRCLE_NODE
    @@ -134,13 +134,13 @@
    33
    34#endif // __LUCI_IR_CIRCLEOPCODE_H__
    - +
    diff --git a/luci_2partition_2src_2_circle_op_code_8h.js b/luci_2partition_2src_2_circle_op_code_8h.js deleted file mode 100644 index 748e9dc5616..00000000000 --- a/luci_2partition_2src_2_circle_op_code_8h.js +++ /dev/null @@ -1,4 +0,0 @@ -var luci_2partition_2src_2_circle_op_code_8h = -[ - [ "opcode_name", "luci_2partition_2src_2_circle_op_code_8h.html#a3ecf4be562fa9dde5bbc387ea5a26e0a", null ] -]; \ No newline at end of file diff --git a/luci_2partition_2src_2_circle_op_code_8h.html b/luci_2partition_2src_2_circle_opcode_8h.html similarity index 96% rename from luci_2partition_2src_2_circle_op_code_8h.html rename to luci_2partition_2src_2_circle_opcode_8h.html index 5cdd1640900..b00e8b68012 100644 --- a/luci_2partition_2src_2_circle_op_code_8h.html +++ b/luci_2partition_2src_2_circle_opcode_8h.html @@ -63,7 +63,7 @@
    @@ -98,7 +98,7 @@
    #include <luci/IR/CircleNode.h>
    #include <string>
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -115,7 +115,7 @@ diff --git a/luci_2partition_2src_2_circle_opcode_8h.js b/luci_2partition_2src_2_circle_opcode_8h.js new file mode 100644 index 00000000000..f312ba51b59 --- /dev/null +++ b/luci_2partition_2src_2_circle_opcode_8h.js @@ -0,0 +1,4 @@ +var luci_2partition_2src_2_circle_opcode_8h = +[ + [ "opcode_name", "luci_2partition_2src_2_circle_opcode_8h.html#a3ecf4be562fa9dde5bbc387ea5a26e0a", null ] +]; \ No newline at end of file diff --git a/luci_2partition_2src_2_circle_op_code_8h_source.html b/luci_2partition_2src_2_circle_opcode_8h_source.html similarity index 96% rename from luci_2partition_2src_2_circle_op_code_8h_source.html rename to luci_2partition_2src_2_circle_opcode_8h_source.html index ea29a97b1af..b760d8860f6 100644 --- a/luci_2partition_2src_2_circle_op_code_8h_source.html +++ b/luci_2partition_2src_2_circle_opcode_8h_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    CircleOpCode.h
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -136,7 +136,7 @@ diff --git a/luci_2pass_2src_2_circle_quantizer_8cpp_source.html b/luci_2pass_2src_2_circle_quantizer_8cpp_source.html index ae09731fb2a..465e52511f7 100644 --- a/luci_2pass_2src_2_circle_quantizer_8cpp_source.html +++ b/luci_2pass_2src_2_circle_quantizer_8cpp_source.html @@ -729,7 +729,7 @@
    627 if (_options->query(Options::Algorithm::QuantizeWeights))
    628 {
    629 static const std::vector<std::string> qw_supported_input_model_dtype{"float32"};
    -
    630 static const std::vector<std::string> qw_supported_output_model_dtype{"int8", "int16"};
    +
    630 static const std::vector<std::string> qw_supported_output_model_dtype{"int4", "int8", "int16"};
    631 static const std::vector<std::string> qw_supported_granularity{"channel"};
    632
    633 auto input_model_dtype =
    @@ -967,7 +967,7 @@
    Class to convert a quantized model to a fake-quantized fp32 model.
    -
    bool run(loco::Graph *g) final
    Run the pass.
    +
    bool run(loco::Graph *g) final
    Run the pass.
    Class to verify quantized model.
    diff --git a/luci_2service_2include_2luci_2_service_2_circle_shape_inference_rule_8h_source.html b/luci_2service_2include_2luci_2_service_2_circle_shape_inference_rule_8h_source.html index 157bcbb211e..6b815b8d5c4 100644 --- a/luci_2service_2include_2luci_2_service_2_circle_shape_inference_rule_8h_source.html +++ b/luci_2service_2include_2luci_2_service_2_circle_shape_inference_rule_8h_source.html @@ -125,7 +125,7 @@
    26{
    27 bool recognize(const loco::Dialect *) const final;
    -
    28 bool infer(const loco::Node *, loco::NodeShape &) const final;
    +
    28 bool infer(const loco::Node *, loco::NodeShape &) const final;
    29};
    30
    @@ -137,7 +137,7 @@ -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    bool recognize(const loco::Dialect *) const final
    Return true if this rule recognizes a given dialect.
    diff --git a/luci_2service_2include_2luci_2_service_2_circle_type_inference_8h_source.html b/luci_2service_2include_2luci_2_service_2_circle_type_inference_8h_source.html index 9895323fd90..7729819d728 100644 --- a/luci_2service_2include_2luci_2_service_2_circle_type_inference_8h_source.html +++ b/luci_2service_2include_2luci_2_service_2_circle_type_inference_8h_source.html @@ -132,7 +132,7 @@
    32struct Rule
    33{
    -
    34 bool infer(const luci::CircleNode *, loco::DataType &) const;
    +
    34 bool infer(const luci::CircleNode *, loco::DataType &) const;
    35};
    36
    @@ -302,7 +302,7 @@
    DataType
    "scalar" value type
    Definition DataType.h:27
    -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    Type Inference Rule for CircleDialect.
    diff --git a/luci_2service_2include_2luci_2_service_2_circle_type_inference_rule_8h_source.html b/luci_2service_2include_2luci_2_service_2_circle_type_inference_rule_8h_source.html index d4369768c05..09799a7d82e 100644 --- a/luci_2service_2include_2luci_2_service_2_circle_type_inference_rule_8h_source.html +++ b/luci_2service_2include_2luci_2_service_2_circle_type_inference_rule_8h_source.html @@ -125,7 +125,7 @@
    29{
    30 bool recognize(const loco::Dialect *) const final;
    -
    31 bool infer(const loco::Node *, loco::DataType &) const final;
    +
    31 bool infer(const loco::Node *, loco::DataType &) const final;
    32};
    33
    @@ -137,7 +137,7 @@
    Logical unit of computation.
    Definition Node.h:54
    DataType
    "scalar" value type
    Definition DataType.h:27
    -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    Type Inference Rule for CircleDialect.
    bool recognize(const loco::Dialect *) const final
    Return true if this rule recognizes a given dialect.
    diff --git a/main_8cc.html b/main_8cc.html index 12293c9471c..cedd4ae2f2e 100644 --- a/main_8cc.html +++ b/main_8cc.html @@ -135,7 +135,7 @@

    23{
    25
    -
    26 VERBOSE(main) << "Starting npud\n";
    +
    26 VERBOSE(main) << "Starting npud\n";
    27 try
    28 {
    29 server.run();
    @@ -146,14 +146,14 @@

    34 return 1;

    -
    37 VERBOSE(main) << "Finished npud\n";
    +
    37 VERBOSE(main) << "Finished npud\n";
    38 return 0;
    39}
    static Server & instance(void)
    Definition Server.h:45
    #define VERBOSE(name, lv)
    Definition Log.h:71
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    -

    References npud::core::Server::instance(), main(), and VERBOSE.

    +

    References npud::core::Server::instance(), main(), and VERBOSE.

    diff --git a/main_8cc_source.html b/main_8cc_source.html index 7b77cbc1350..9f424ce7442 100644 --- a/main_8cc_source.html +++ b/main_8cc_source.html @@ -119,11 +119,11 @@
    20using namespace npud;
    21
    -
    22int main(int argc, const char *argv[])
    +
    22int main(int argc, const char *argv[])
    23{
    24 auto &server = core::Server::instance();
    25
    -
    26 VERBOSE(main) << "Starting npud\n";
    +
    26 VERBOSE(main) << "Starting npud\n";
    27 try
    28 {
    29 server.run();
    @@ -134,7 +134,7 @@
    34 return 1;
    35 }
    36
    -
    37 VERBOSE(main) << "Finished npud\n";
    +
    37 VERBOSE(main) << "Finished npud\n";
    38 return 0;
    39}
    @@ -142,7 +142,7 @@
    static Server & instance(void)
    Definition Server.h:45
    #define VERBOSE(name, lv)
    Definition Log.h:71
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/minimal_8cc_source.html b/minimal_8cc_source.html index f3382cf90f4..1b948435540 100644 --- a/minimal_8cc_source.html +++ b/minimal_8cc_source.html @@ -130,7 +130,7 @@
    30
    -
    31int main(const int argc, char **argv)
    +
    31int main(const int argc, char **argv)
    32{
    33 nnfw_session *session = nullptr;
    34 nnfw_create_session(&session);
    @@ -184,7 +184,7 @@
    NNFW_STATUS nnfw_prepare(nnfw_session *session)
    Prepare session to be ready for inference.
    Definition nnfw_api.cc:96
    NNFW_STATUS nnfw_set_output(nnfw_session *session, uint32_t index, NNFW_TYPE type, void *buffer, size_t length)
    Set output buffer.
    Definition nnfw_api.cc:157
    NNFW_STATUS nnfw_set_op_backend(nnfw_session *session, const char *op, const char *backend)
    Set the operation's backend.
    Definition nnfw_api.cc:306
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    tensor info describes the type and shape of tensors
    Definition nnfw.h:176
    NNFW_TYPE dtype
    Definition nnfw.h:178
    diff --git a/minimal_8py_source.html b/minimal_8py_source.html index 4faa85e49ca..e0ae9afe14f 100644 --- a/minimal_8py_source.html +++ b/minimal_8py_source.html @@ -102,7 +102,7 @@
    3
    4
    -
    5def main(nnpackage_path, backends="cpu", operations=""):
    +
    5def main(nnpackage_path, backends="cpu", operations=""):
    6 # Create session and load nnpackage
    7 # operations is optional to assign a specific backends to each operation.
    8 # The default value of backends is "cpu".
    @@ -124,9 +124,9 @@
    24if __name__ == "__main__":
    25 argv = sys.argv[1:]
    -
    26 main(*argv)
    +
    26 main(*argv)
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-circle04_2example_8cpp_source.html b/mio-circle04_2example_8cpp_source.html index 198d0530b5a..c36c1c01631 100644 --- a/mio-circle04_2example_8cpp_source.html +++ b/mio-circle04_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-circle05_2example_8cpp_source.html b/mio-circle05_2example_8cpp_source.html index b9724b94109..454c336cb8a 100644 --- a/mio-circle05_2example_8cpp_source.html +++ b/mio-circle05_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-circle06_2example_8cpp_source.html b/mio-circle06_2example_8cpp_source.html index ab7969b9ef5..0d83d827145 100644 --- a/mio-circle06_2example_8cpp_source.html +++ b/mio-circle06_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-circle07_2example_8cpp_source.html b/mio-circle07_2example_8cpp_source.html index 71b08e97d73..8153c5ecfe7 100644 --- a/mio-circle07_2example_8cpp_source.html +++ b/mio-circle07_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-circle08_2example_8cpp_source.html b/mio-circle08_2example_8cpp_source.html index 45749210378..245d9d5a676 100644 --- a/mio-circle08_2example_8cpp_source.html +++ b/mio-circle08_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-circle_2example_8cpp_source.html b/mio-circle_2example_8cpp_source.html index 63dee980cc4..06cda4a9302 100644 --- a/mio-circle_2example_8cpp_source.html +++ b/mio-circle_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-tflite2121_2example_8cpp_source.html b/mio-tflite2121_2example_8cpp_source.html index 9a1d66fa26d..8bc9dc2807f 100644 --- a/mio-tflite2121_2example_8cpp_source.html +++ b/mio-tflite2121_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-tflite260_2example_8cpp_source.html b/mio-tflite260_2example_8cpp_source.html index 233afb90ced..a8bc361a5b9 100644 --- a/mio-tflite260_2example_8cpp_source.html +++ b/mio-tflite260_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-tflite280_2example_8cpp_source.html b/mio-tflite280_2example_8cpp_source.html index cf368a0667d..c6d9b4ed618 100644 --- a/mio-tflite280_2example_8cpp_source.html +++ b/mio-tflite280_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/mio-tflite_2example_8cpp_source.html b/mio-tflite_2example_8cpp_source.html index 388d6c89d8e..7d3733ed5e0 100644 --- a/mio-tflite_2example_8cpp_source.html +++ b/mio-tflite_2example_8cpp_source.html @@ -123,7 +123,7 @@
    24#include <vector>
    25
    -
    26int main(int argc, char **argv)
    +
    26int main(int argc, char **argv)
    27{
    28 std::ifstream ifs(argv[1], std::ios_base::binary);
    29 std::vector<char> buf(std::istreambuf_iterator<char>{ifs}, std::istreambuf_iterator<char>{});
    @@ -140,7 +140,7 @@
    40 return 0;
    41}
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/morph_2include_2morph_2_dims_8h_source.html b/morph_2include_2morph_2_dims_8h_source.html index 59f625c2f09..d04d8526759 100644 --- a/morph_2include_2morph_2_dims_8h_source.html +++ b/morph_2include_2morph_2_dims_8h_source.html @@ -133,7 +133,7 @@
    Definition caffe.h:25
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    Definition Dims.h:26
    diff --git a/morph_2src_2_dims_8cpp.js b/morph_2src_2_dims_8cpp.js deleted file mode 100644 index e95ffdaf15b..00000000000 --- a/morph_2src_2_dims_8cpp.js +++ /dev/null @@ -1,4 +0,0 @@ -var morph_2src_2_dims_8cpp = -[ - [ "as_dims", "morph_2src_2_dims_8cpp.html#aa99b14b3992c5801d3e46acfc4f19909", null ] -]; \ No newline at end of file diff --git a/morph_2src_2_dims_8cpp.html b/morph_2src_2dims_8cpp.html similarity index 95% rename from morph_2src_2_dims_8cpp.html rename to morph_2src_2dims_8cpp.html index e4c4a4be5c7..39315ada127 100644 --- a/morph_2src_2_dims_8cpp.html +++ b/morph_2src_2dims_8cpp.html @@ -63,7 +63,7 @@

    Namespaces

    @@ -114,7 +114,7 @@ diff --git a/morph_2src_2dims_8cpp.js b/morph_2src_2dims_8cpp.js new file mode 100644 index 00000000000..f26f5a5ab3c --- /dev/null +++ b/morph_2src_2dims_8cpp.js @@ -0,0 +1,4 @@ +var morph_2src_2dims_8cpp = +[ + [ "as_dims", "morph_2src_2dims_8cpp.html#aa99b14b3992c5801d3e46acfc4f19909", null ] +]; \ No newline at end of file diff --git a/morph_2src_2_dims_8cpp_source.html b/morph_2src_2dims_8cpp_source.html similarity index 96% rename from morph_2src_2_dims_8cpp_source.html rename to morph_2src_2dims_8cpp_source.html index 5ad1026c465..3dca1615ea3 100644 --- a/morph_2src_2_dims_8cpp_source.html +++ b/morph_2src_2dims_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    dims.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -140,7 +140,7 @@
    uint32_t rank(void) const
    Definition Shape.cpp:35
    Definition caffe.h:25
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    Definition Dims.h:26
    @@ -148,7 +148,7 @@ diff --git a/namespaceconftest.html b/namespaceconftest.html index fc5bcb999c7..e8703b6cc7d 100644 --- a/namespaceconftest.html +++ b/namespaceconftest.html @@ -103,8 +103,151 @@
    + + + + + + + +

    Namespaces

     
     pytest_generate_tests (metafunc)
     
     copy_if_changed (src_filepath, dst_filepath)
     
     copy_ref_files (ref_file_src, ref_file_dst)
     
     copy_circle_model (model_src, model_dst)
     
     prepare_materials (test_name, tflrecipe_path, binary_path, artifacts_path)
     

    Function Documentation

    + +

    ◆ copy_circle_model()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    conftest.copy_circle_model ( model_src,
     model_dst 
    )
    +
    + +

    Definition at line 52 of file conftest.py.

    +
    52def copy_circle_model(model_src, model_dst):
    +
    53 copy_if_changed(model_src, model_dst)
    +
    54
    +
    55
    +
    +

    References copy_if_changed().

    + +

    Referenced by prepare_materials().

    + +
    +
    + +

    ◆ copy_if_changed()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    conftest.copy_if_changed ( src_filepath,
     dst_filepath 
    )
    +
    + +

    Definition at line 21 of file conftest.py.

    +
    21def copy_if_changed(src_filepath, dst_filepath):
    +
    22 do_copy = False
    +
    23 if (os.path.isfile(dst_filepath)):
    +
    24 file_diff = os.stat(src_filepath).st_mtime - os.stat(dst_filepath).st_mtime
    +
    25 if file_diff > 1:
    +
    26 print("file:" + src_filepath + " changed, update")
    +
    27 do_copy = True
    +
    28 else:
    +
    29 do_copy = True
    +
    30
    +
    31 if do_copy:
    +
    32 print("file:" + src_filepath + " copy to: " + dst_filepath)
    +
    33 shutil.copyfile(src_filepath, dst_filepath)
    +
    34
    +
    35
    +
    36# prepare reference input/output files to build folder for luci-eval-driver
    +
    37# from ref data in res/TensorFlowLiteRecipes/*/ref.input* and ref.output*
    +
    38# as model_name.ref.input* and model_name.ref.output*
    +
    +

    Referenced by copy_circle_model(), and copy_ref_files().

    + +
    +
    + +

    ◆ copy_ref_files()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    conftest.copy_ref_files ( ref_file_src,
     ref_file_dst 
    )
    +
    + +

    Definition at line 39 of file conftest.py.

    +
    39def copy_ref_files(ref_file_src, ref_file_dst):
    +
    40 num_data = 0
    +
    41 while True:
    +
    42 input_file_src = ref_file_src + str(num_data)
    +
    43 if (not os.path.isfile(input_file_src)):
    +
    44 break
    +
    45 input_file_dst = ref_file_dst + str(num_data)
    +
    46 copy_if_changed(input_file_src, input_file_dst)
    +
    47 # try next file
    +
    48 num_data = num_data + 1
    +
    49
    +
    50
    +
    51# copy circle mode from common-artifacts to build binary
    +
    +

    References copy_if_changed().

    + +

    Referenced by prepare_materials().

    + +
    +

    ◆ extract_test_args()

    @@ -129,7 +272,67 @@

    8

    9
    -

    Referenced by pytest_generate_tests().

    +

    Referenced by prepare_materials(), and pytest_generate_tests().

    + + + + +

    ◆ prepare_materials()

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    conftest.prepare_materials ( test_name,
     tflrecipe_path,
     binary_path,
     artifacts_path 
    )
    +
    + +

    Definition at line 56 of file conftest.py.

    +
    56def prepare_materials(test_name, tflrecipe_path, binary_path, artifacts_path):
    +
    57 ref_input_src = os.path.join(tflrecipe_path, test_name, 'ref.input')
    +
    58 ref_input_dst = os.path.join(binary_path, test_name + '.ref.input')
    +
    59 copy_ref_files(ref_input_src, ref_input_dst)
    +
    60
    +
    61 ref_input_src = os.path.join(tflrecipe_path, test_name, 'ref.output')
    +
    62 ref_input_dst = os.path.join(binary_path, test_name + '.ref.output')
    +
    63 copy_ref_files(ref_input_src, ref_input_dst)
    +
    64
    +
    65 cirle_model_src = os.path.join(artifacts_path, test_name + '.circle')
    +
    66 cicle_model_dst = os.path.join(binary_path, test_name + '.circle')
    +
    67 copy_circle_model(cirle_model_src, cicle_model_dst)
    +
    68
    +
    69
    +
    +

    References copy_circle_model(), copy_ref_files(), extract_test_args(), and prepare_materials().

    + +

    Referenced by prepare_materials().

    diff --git a/namespaceenco.html b/namespaceenco.html index 16c2c3087d1..a072a83aabd 100644 --- a/namespaceenco.html +++ b/namespaceenco.html @@ -1025,7 +1025,7 @@

    volatile const char info[]
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    coco::Data * data(void) const
    Definition Code.h:38
    static const ANNContext * context(const coco::Module *m)
    Definition Split.cpp:43
    @@ -1561,13 +1561,13 @@

    48 return coco::FeatureShape(ifm->shape().batch(), ker->shape().count(), ofm_height, ofm_width);
    49}
    Padding2D * pad(void)
    Definition Ops.h:120
    -
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    +
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    Stride2D * stride(void)
    Definition Ops.h:124
    Op * arg(uint32_t n) const final
    Return N-th argument.
    The shape of a feature map.
    uint32_t left(void) const
    Definition Padding2D.h:49
    -

    References coco::Conv2D::arg(), coco::Conv2D::ker(), coco::Padding2D::left(), coco::Conv2D::pad(), and coco::Conv2D::stride().

    +

    References coco::Conv2D::arg(), coco::Conv2D::ker(), coco::Padding2D::left(), coco::Conv2D::pad(), and coco::Conv2D::stride().

    diff --git a/namespaceexport__constant.html b/namespaceexport__constant.html index 37c504a6efe..8fd5502efe8 100644 --- a/namespaceexport__constant.html +++ b/namespaceexport__constant.html @@ -117,7 +117,7 @@

    Definition at line 23 of file export_constant.py.

    -
    23def main():
    +
    23def main():
    24 parser = argparse.ArgumentParser(
    25 description='Export CONSTANT value with given file format.')
    26 parser.add_argument(
    @@ -169,7 +169,7 @@

    72 f.write(f"{constant}\n")

    73
    74
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58

    References main().

    diff --git a/namespacegenerate__bcq__metadata.html b/namespacegenerate__bcq__metadata.html index bde1adf1a46..338eb8310c0 100644 --- a/namespacegenerate__bcq__metadata.html +++ b/namespacegenerate__bcq__metadata.html @@ -496,7 +496,7 @@

    Definition at line 213 of file generate_bcq_metadata.py.

    -
    213def main():
    +
    213def main():
    214 # Parse argument.
    215 parser = _get_parser()
    216 flags = parser.parse_known_args(args=sys.argv[1:])
    @@ -505,7 +505,7 @@

    219 generate_bcq_metadata(flags[0])

    220
    221
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58

    References _get_parser(), and main().

    diff --git a/namespaceloco.html b/namespaceloco.html index 326073d7df6..1c9685a6b24 100644 --- a/namespaceloco.html +++ b/namespaceloco.html @@ -1443,7 +1443,7 @@

    References postorder_traversal().

    -

    Referenced by moco::test::find_nodes_bytype(), luci::DeadNodeQueryServiceImpl::isDeadNode(), luci::layer_info_map(), luci::CircleQuantizer::quantize(), mpqsolver::pattern::Q8LayerNormWithQ16VarianceResolver::resolve(), mpqsolver::pattern::Q8SoftmaxWithQ16SubExpResolver::resolve(), mpqsolver::bisection::BisectionSolver::run(), logo::RemoveDeadNodePass::run(), logo::RemoveDeadNodeWithQueryPass::run(), exo::FoldReshapeOfConstPass::run(), exo::FoldTransposeOfConstPass::run(), exo::FuseBiasAddPass::run(), exo::FuseInstanceNormPass::run(), exo::FuseReluPass::run(), exo::FuseRsqrtPass::run(), exo::FuseSquaredDifferencePass::run(), logo::SimplifyDomainConversionPass::run(), luci::ConvertNCHWToNHWCPass::run(), luci::ConvertToFakeQuantizedModelPass::run(), luci::DecomposeHardSwishPass::run(), luci::DecomposeSoftmaxPass::run(), luci::ExpandBroadcastConstPass::run(), luci::FoldAddV2Pass::run(), luci::FoldCastPass::run(), luci::FoldDensifyPass::run(), luci::FoldDepthwiseConv2DPass::run(), luci::FoldDequantizePass::run(), luci::FoldFullyConnectedPass::run(), luci::FoldGatherPass::run(), luci::FoldShapePass::run(), luci::FoldSparseToDensePass::run(), luci::ForwardReshapeToUnaryOpPass::run(), luci::ForwardTransposeOpPass::run(), luci::FuseActivationFunctionPass::run(), luci::FuseAddWithConvPass::run(), luci::FuseAddWithFullyConnectedPass::run(), luci::FuseAddWithTConvPass::run(), luci::FuseBatchNormWithConvPass::run(), luci::FuseBatchNormWithDwConvPass::run(), luci::FuseBatchNormWithTConvPass::run(), luci::FuseGeluPass::run(), luci::FuseHorizontalFullyConnectedPass::run(), luci::FuseInstanceNormPass::run(), luci::FuseMeanWithMeanPass::run(), luci::FuseMulWithConvPass::run(), luci::FuseMulWithDivPass::run(), luci::FusePreActivationBatchNormPass::run(), luci::FusePReluPass::run(), luci::FuseSliceWithTConvPass::run(), luci::FuseTransposeWithMeanPass::run(), luci::MakeBatchNormGammaPositivePass::run(), luci::PropagateQParamForwardPass::run(), luci::RemoveDuplicateConstPass::run(), luci::RemoveFakeQuantPass::run(), luci::RemoveGatherGuardPass::run(), luci::RemoveQuantDequantSeqPass::run(), luci::RemoveRedundantDequantizePass::run(), luci::RemoveRedundantReshapePass::run(), luci::RemoveRedundantTransposePass::run(), luci::RemoveUnnecessaryAddPass::run(), luci::RemoveUnnecessaryReshapeNetPass::run(), luci::RemoveUnnecessaryReshapePass::run(), luci::RemoveUnnecessarySlicePass::run(), luci::RemoveUnnecessarySplitPass::run(), luci::RemoveUnnecessaryStridedSlicePass::run(), luci::RemoveUnnecessaryTransposeNetPass::run(), luci::ReplaceMulAddWithDepthwiseConvPass::run(), luci::ReplaceNonConstFCWithBatchMatMulPass::run(), luci::ReplaceSubWithAddPass::run(), luci::ReplaceWithFCGeluFCPass::run(), luci::ResolveCustomOpAddPass::run(), luci::ResolveCustomOpBatchMatMulPass::run(), luci::ResolveCustomOpMatMulPass::run(), luci::ResolveCustomOpMaxPoolWithArgmaxPass::run(), luci::ResolveCustomOpSplitVPass::run(), luci::ResolveFormerCustomOpPass::run(), luci::ShuffleWeightTo16x1Float32Pass::run(), luci::SparsifyTensorPass::run(), luci::SubstitutePackToReshapePass::run(), luci::SubstitutePadV2ToPadPass::run(), luci::SubstituteSplitVToSplitPass::run(), luci::SubstituteSqueezeToReshapePass::run(), luci::SubstituteStridedSliceToReshapePass::run(), luci::SubstituteTransposeToReshapePass::run(), luci::TransformMinMaxToRelu6Pass::run(), luci::TransformMinReluToRelu6Pass::run(), luci::UnrollUnidirectionalSequenceLSTMPass::run(), luci::XpSepActFromTransposeConvPass::run(), luci::QuantizeOnnxDequantizeLinearPass::run(), luci::QuantizeOnnxQDQPass::run(), luci::QuantizeWithPredecessorPass::run(), exo::CanonicalNodeConverter< CanonicalType >::run(), exo::TensorBroadcastConverter::run(), exo::MergeConcatNodesPass::run(), luci::CommonSubExpressionEliminationPass::run(), luci::CopyQuantParamPass::run(), luci::ForceQuantParamPass::run(), luci::QuantizeDequantizeWeightsPass::run(), luci::QuantizeOnnxFakeQuantModelPass::run(), luci::QuantizeWeightsPass::run(), luci::QuantizeWithMinMaxPass::run(), luci::RequantizePass::run(), luci::QuantizePreCheckerPass::run(), moco::tf::SimpleNodeTransform< ConcreteNode >::run(), moco::ConstantFoldAdd::run(), moco::ConstantFoldMul::run(), moco::ConstantFoldPack::run(), moco::ConstantFoldStridedSlice::run(), moco::FuseBinaryIntoPreceding::run(), moco::ResolveConstantShape::run(), moco::ResolveFusedBatchNorm::run(), moco::ResolveReshapeWildcardDim::run(), moco::ResolveSquaredDifference::run(), moco::SqueezeReduceNode::run(), luci::QuantizedModelVerifier::verify(), and q_implant::QImplant::write().

    +

    Referenced by moco::test::find_nodes_bytype(), luci::DeadNodeQueryServiceImpl::isDeadNode(), luci::layer_info_map(), luci::CircleQuantizer::quantize(), mpqsolver::pattern::Q8LayerNormWithQ16VarianceResolver::resolve(), mpqsolver::pattern::Q8SoftmaxWithQ16SubExpResolver::resolve(), mpqsolver::bisection::BisectionSolver::run(), logo::RemoveDeadNodePass::run(), logo::RemoveDeadNodeWithQueryPass::run(), exo::FoldReshapeOfConstPass::run(), exo::FoldTransposeOfConstPass::run(), exo::FuseBiasAddPass::run(), exo::FuseInstanceNormPass::run(), exo::FuseReluPass::run(), exo::FuseRsqrtPass::run(), exo::FuseSquaredDifferencePass::run(), logo::SimplifyDomainConversionPass::run(), luci::ConvertNCHWToNHWCPass::run(), luci::ConvertToFakeQuantizedModelPass::run(), luci::DecomposeHardSwishPass::run(), luci::DecomposeSoftmaxPass::run(), luci::ExpandBroadcastConstPass::run(), luci::FoldAddV2Pass::run(), luci::FoldCastPass::run(), luci::FoldDensifyPass::run(), luci::FoldDepthwiseConv2DPass::run(), luci::FoldDequantizePass::run(), luci::FoldFullyConnectedPass::run(), luci::FoldGatherPass::run(), luci::FoldShapePass::run(), luci::FoldSparseToDensePass::run(), luci::ForwardReshapeToUnaryOpPass::run(), luci::ForwardTransposeOpPass::run(), luci::FuseActivationFunctionPass::run(), luci::FuseAddWithConvPass::run(), luci::FuseAddWithFullyConnectedPass::run(), luci::FuseAddWithTConvPass::run(), luci::FuseBatchNormWithConvPass::run(), luci::FuseBatchNormWithDwConvPass::run(), luci::FuseBatchNormWithTConvPass::run(), luci::FuseGeluPass::run(), luci::FuseHorizontalFullyConnectedPass::run(), luci::FuseInstanceNormPass::run(), luci::FuseMeanWithMeanPass::run(), luci::FuseMulWithConvPass::run(), luci::FuseMulWithDivPass::run(), luci::FusePreActivationBatchNormPass::run(), luci::FusePReluPass::run(), luci::FuseSliceWithTConvPass::run(), luci::FuseTransposeWithMeanPass::run(), luci::MakeBatchNormGammaPositivePass::run(), luci::PropagateQParamForwardPass::run(), luci::RemoveDuplicateConstPass::run(), luci::RemoveFakeQuantPass::run(), luci::RemoveGatherGuardPass::run(), luci::RemoveQuantDequantSeqPass::run(), luci::RemoveRedundantDequantizePass::run(), luci::RemoveRedundantReshapePass::run(), luci::RemoveRedundantTransposePass::run(), luci::RemoveUnnecessaryAddPass::run(), luci::RemoveUnnecessaryReshapeNetPass::run(), luci::RemoveUnnecessaryReshapePass::run(), luci::RemoveUnnecessarySlicePass::run(), luci::RemoveUnnecessarySplitPass::run(), luci::RemoveUnnecessaryStridedSlicePass::run(), luci::RemoveUnnecessaryTransposeNetPass::run(), luci::ReplaceMulAddWithDepthwiseConvPass::run(), luci::ReplaceNonConstFCWithBatchMatMulPass::run(), luci::ReplaceSubWithAddPass::run(), luci::ReplaceWithFCGeluFCPass::run(), luci::ResolveCustomOpAddPass::run(), luci::ResolveCustomOpBatchMatMulPass::run(), luci::ResolveCustomOpMatMulPass::run(), luci::ResolveCustomOpMaxPoolWithArgmaxPass::run(), luci::ResolveCustomOpSplitVPass::run(), luci::ResolveFormerCustomOpPass::run(), luci::ShuffleWeightTo16x1Float32Pass::run(), luci::SparsifyTensorPass::run(), luci::SubstitutePackToReshapePass::run(), luci::SubstitutePadV2ToPadPass::run(), luci::SubstituteSplitVToSplitPass::run(), luci::SubstituteSqueezeToReshapePass::run(), luci::SubstituteStridedSliceToReshapePass::run(), luci::SubstituteTransposeToReshapePass::run(), luci::TransformMinMaxToRelu6Pass::run(), luci::TransformMinReluToRelu6Pass::run(), luci::UnrollUnidirectionalSequenceLSTMPass::run(), luci::XpSepActFromTransposeConvPass::run(), luci::QuantizeOnnxDequantizeLinearPass::run(), luci::QuantizeOnnxQDQPass::run(), luci::QuantizeWithPredecessorPass::run(), exo::CanonicalNodeConverter< CanonicalType >::run(), exo::TensorBroadcastConverter::run(), exo::MergeConcatNodesPass::run(), luci::CommonSubExpressionEliminationPass::run(), luci::CopyQuantParamPass::run(), luci::ForceQuantParamPass::run(), luci::QuantizeDequantizeWeightsPass::run(), luci::QuantizeOnnxFakeQuantModelPass::run(), luci::QuantizeWeightsPass::run(), luci::QuantizeWithMinMaxPass::run(), luci::RequantizePass::run(), luci::QuantizePreCheckerPass::run(), moco::tf::SimpleNodeTransform< ConcreteNode >::run(), moco::ConstantFoldAdd::run(), moco::ConstantFoldMul::run(), moco::ConstantFoldPack::run(), moco::ConstantFoldStridedSlice::run(), moco::FuseBinaryIntoPreceding::run(), moco::ResolveConstantShape::run(), moco::ResolveFusedBatchNorm::run(), moco::ResolveReshapeWildcardDim::run(), moco::ResolveSquaredDifference::run(), moco::SqueezeReduceNode::run(), luci::QuantizedModelVerifier::verify(), and q_implant::QImplant::write().

    @@ -2615,7 +2615,7 @@

    References size.

    -

    Referenced by dalgona::PythonHooks::endNetworkExecution(), entry(), luci::exportNodes(), exo::circle_detail::exportOpDefinedTensors(), exo::tflite_detail::exportOpDefinedTensors(), luci::exportOpDefinedTensors(), logo::test::find_first_node_by_type(), moco::test::find_nodes_bytype(), luci::Importer::importModule(), luci::inference_candidates(), circle_eval_diff::MAEPrinter::init(), circle_eval_diff::MSEPrinter::init(), circle_eval_diff::MAPEPrinter::init(), circle_eval_diff::MPEIRPrinter::init(), circle_eval_diff::TopKMatchPrinter::init(), luci_interpreter::GraphLoader::initInputOutputTensors(), luci::DeadNodeQueryServiceImpl::isDeadNode(), luci::layer_info_map(), luci_interpreter::GraphLoader::loadOperators(), luci::CircleQuantizer::quantize(), mpqsolver::pattern::Q8LayerNormWithQ16VarianceResolver::resolve(), mpqsolver::pattern::Q8SoftmaxWithQ16SubExpResolver::resolve(), mpqsolver::bisection::BisectionSolver::run(), logo::RemoveDeadNodePass::run(), logo::RemoveDeadNodeWithQueryPass::run(), exo::FoldReshapeOfConstPass::run(), exo::FoldTransposeOfConstPass::run(), exo::FuseBiasAddPass::run(), exo::FuseInstanceNormPass::run(), exo::FuseReluPass::run(), exo::FuseRsqrtPass::run(), exo::FuseSquaredDifferencePass::run(), logo::SimplifyDomainConversionPass::run(), luci::ConvertNCHWToNHWCPass::run(), luci::ConvertToFakeQuantizedModelPass::run(), luci::DecomposeHardSwishPass::run(), luci::DecomposeSoftmaxPass::run(), luci::ExpandBroadcastConstPass::run(), luci::FoldAddV2Pass::run(), luci::FoldCastPass::run(), luci::FoldDensifyPass::run(), luci::FoldDepthwiseConv2DPass::run(), luci::FoldDequantizePass::run(), luci::FoldFullyConnectedPass::run(), luci::FoldGatherPass::run(), luci::FoldShapePass::run(), luci::FoldSparseToDensePass::run(), luci::ForwardReshapeToUnaryOpPass::run(), luci::ForwardTransposeOpPass::run(), luci::FuseActivationFunctionPass::run(), luci::FuseAddWithConvPass::run(), luci::FuseAddWithFullyConnectedPass::run(), luci::FuseAddWithTConvPass::run(), luci::FuseBatchNormWithConvPass::run(), luci::FuseBatchNormWithDwConvPass::run(), luci::FuseBatchNormWithTConvPass::run(), luci::FuseGeluPass::run(), luci::FuseHorizontalFullyConnectedPass::run(), luci::FuseInstanceNormPass::run(), luci::FuseMeanWithMeanPass::run(), luci::FuseMulWithConvPass::run(), luci::FuseMulWithDivPass::run(), luci::FusePreActivationBatchNormPass::run(), luci::FusePReluPass::run(), luci::FuseSliceWithTConvPass::run(), luci::FuseTransposeWithMeanPass::run(), luci::MakeBatchNormGammaPositivePass::run(), luci::PropagateQParamBackwardPass::run(), luci::PropagateQParamForwardPass::run(), luci::RemoveDuplicateConstPass::run(), luci::RemoveFakeQuantPass::run(), luci::RemoveGatherGuardPass::run(), luci::RemoveQuantDequantSeqPass::run(), luci::RemoveRedundantDequantizePass::run(), luci::RemoveRedundantQuantizePass::run(), luci::RemoveRedundantReshapePass::run(), luci::RemoveRedundantTransposePass::run(), luci::RemoveUnnecessaryAddPass::run(), luci::RemoveUnnecessaryReshapeNetPass::run(), luci::RemoveUnnecessaryReshapePass::run(), luci::RemoveUnnecessarySlicePass::run(), luci::RemoveUnnecessarySplitPass::run(), luci::RemoveUnnecessaryStridedSlicePass::run(), luci::RemoveUnnecessaryTransposeNetPass::run(), luci::ReplaceMulAddWithDepthwiseConvPass::run(), luci::ReplaceNonConstFCWithBatchMatMulPass::run(), luci::ReplaceSubWithAddPass::run(), luci::ReplaceWithFCGeluFCPass::run(), luci::ResolveCustomOpAddPass::run(), luci::ResolveCustomOpBatchMatMulPass::run(), luci::ResolveCustomOpMatMulPass::run(), luci::ResolveCustomOpMaxPoolWithArgmaxPass::run(), luci::ResolveCustomOpSplitVPass::run(), luci::ResolveFormerCustomOpPass::run(), luci::ShuffleWeightTo16x1Float32Pass::run(), luci::SparsifyTensorPass::run(), luci::SubstitutePackToReshapePass::run(), luci::SubstitutePadV2ToPadPass::run(), luci::SubstituteSplitVToSplitPass::run(), luci::SubstituteSqueezeToReshapePass::run(), luci::SubstituteStridedSliceToReshapePass::run(), luci::SubstituteTransposeToReshapePass::run(), luci::TransformMinMaxToRelu6Pass::run(), luci::TransformMinReluToRelu6Pass::run(), luci::UnrollUnidirectionalSequenceLSTMPass::run(), luci::XpSepActFromTransposeConvPass::run(), luci::QuantizeOnnxDequantizeLinearPass::run(), luci::QuantizeOnnxQDQPass::run(), luci::QuantizeWithPredecessorPass::run(), exo::CanonicalNodeConverter< CanonicalType >::run(), exo::TensorBroadcastConverter::run(), exo::MergeConcatNodesPass::run(), luci::CommonSubExpressionEliminationPass::run(), luci::CopyQuantParamPass::run(), luci::ForceQuantParamPass::run(), luci::QuantizeDequantizeWeightsPass::run(), luci::QuantizeOnnxFakeQuantModelPass::run(), luci::QuantizeWeightsPass::run(), luci::QuantizeWithMinMaxPass::run(), luci::RequantizePass::run(), luci::QuantizePreCheckerPass::run(), moco::tf::SimpleNodeTransform< ConcreteNode >::run(), logo::ConstantFoldingPass::run(), logo::ResolveDuplicateReshapePass::run(), logo::ResolveRedundantReshapePass::run(), moco::ConstantFoldAdd::run(), moco::ConstantFoldMul::run(), moco::ConstantFoldPack::run(), moco::ConstantFoldStridedSlice::run(), moco::FuseBinaryIntoPreceding::run(), moco::ResolveConstantShape::run(), moco::ResolveFusedBatchNorm::run(), moco::ResolveReshapeWildcardDim::run(), moco::ResolveSquaredDifference::run(), moco::SqueezeReduceNode::run(), luci::FuseBCQPass::run(), prunner::PModelsRunner::run(), prunner::PModelsRunner::save_outputs(), loco::ShapeInferenceSession::to(), loco::TypeInferenceSession::to(), luci::QuantizedModelVerifier::verify(), and q_implant::QImplant::write().

    +

    Referenced by dalgona::PythonHooks::endNetworkExecution(), entry(), luci::exportNodes(), exo::circle_detail::exportOpDefinedTensors(), exo::tflite_detail::exportOpDefinedTensors(), luci::exportOpDefinedTensors(), logo::test::find_first_node_by_type(), moco::test::find_nodes_bytype(), luci::Importer::importModule(), luci::inference_candidates(), circle_eval_diff::MAEPrinter::init(), circle_eval_diff::MSEPrinter::init(), circle_eval_diff::MAPEPrinter::init(), circle_eval_diff::MPEIRPrinter::init(), circle_eval_diff::TopKMatchPrinter::init(), luci_interpreter::GraphLoader::initInputOutputTensors(), luci::DeadNodeQueryServiceImpl::isDeadNode(), luci::layer_info_map(), luci_interpreter::GraphLoader::loadOperators(), luci::CircleQuantizer::quantize(), mpqsolver::pattern::Q8LayerNormWithQ16VarianceResolver::resolve(), mpqsolver::pattern::Q8SoftmaxWithQ16SubExpResolver::resolve(), mpqsolver::bisection::BisectionSolver::run(), logo::RemoveDeadNodePass::run(), logo::RemoveDeadNodeWithQueryPass::run(), exo::FoldReshapeOfConstPass::run(), exo::FoldTransposeOfConstPass::run(), exo::FuseBiasAddPass::run(), exo::FuseInstanceNormPass::run(), exo::FuseReluPass::run(), exo::FuseRsqrtPass::run(), exo::FuseSquaredDifferencePass::run(), logo::SimplifyDomainConversionPass::run(), luci::ConvertNCHWToNHWCPass::run(), luci::ConvertToFakeQuantizedModelPass::run(), luci::DecomposeHardSwishPass::run(), luci::DecomposeSoftmaxPass::run(), luci::ExpandBroadcastConstPass::run(), luci::FoldAddV2Pass::run(), luci::FoldCastPass::run(), luci::FoldDensifyPass::run(), luci::FoldDepthwiseConv2DPass::run(), luci::FoldDequantizePass::run(), luci::FoldFullyConnectedPass::run(), luci::FoldGatherPass::run(), luci::FoldShapePass::run(), luci::FoldSparseToDensePass::run(), luci::ForwardReshapeToUnaryOpPass::run(), luci::ForwardTransposeOpPass::run(), luci::FuseActivationFunctionPass::run(), luci::FuseAddWithConvPass::run(), luci::FuseAddWithFullyConnectedPass::run(), luci::FuseAddWithTConvPass::run(), luci::FuseBatchNormWithConvPass::run(), luci::FuseBatchNormWithDwConvPass::run(), luci::FuseBatchNormWithTConvPass::run(), luci::FuseGeluPass::run(), luci::FuseHorizontalFullyConnectedPass::run(), luci::FuseInstanceNormPass::run(), luci::FuseMeanWithMeanPass::run(), luci::FuseMulWithConvPass::run(), luci::FuseMulWithDivPass::run(), luci::FusePreActivationBatchNormPass::run(), luci::FusePReluPass::run(), luci::FuseSliceWithTConvPass::run(), luci::FuseTransposeWithMeanPass::run(), luci::MakeBatchNormGammaPositivePass::run(), luci::PropagateQParamBackwardPass::run(), luci::PropagateQParamForwardPass::run(), luci::RemoveDuplicateConstPass::run(), luci::RemoveFakeQuantPass::run(), luci::RemoveGatherGuardPass::run(), luci::RemoveQuantDequantSeqPass::run(), luci::RemoveRedundantDequantizePass::run(), luci::RemoveRedundantQuantizePass::run(), luci::RemoveRedundantReshapePass::run(), luci::RemoveRedundantTransposePass::run(), luci::RemoveUnnecessaryAddPass::run(), luci::RemoveUnnecessaryReshapeNetPass::run(), luci::RemoveUnnecessaryReshapePass::run(), luci::RemoveUnnecessarySlicePass::run(), luci::RemoveUnnecessarySplitPass::run(), luci::RemoveUnnecessaryStridedSlicePass::run(), luci::RemoveUnnecessaryTransposeNetPass::run(), luci::ReplaceMulAddWithDepthwiseConvPass::run(), luci::ReplaceNonConstFCWithBatchMatMulPass::run(), luci::ReplaceSubWithAddPass::run(), luci::ReplaceWithFCGeluFCPass::run(), luci::ResolveCustomOpAddPass::run(), luci::ResolveCustomOpBatchMatMulPass::run(), luci::ResolveCustomOpMatMulPass::run(), luci::ResolveCustomOpMaxPoolWithArgmaxPass::run(), luci::ResolveCustomOpSplitVPass::run(), luci::ResolveFormerCustomOpPass::run(), luci::ShuffleWeightTo16x1Float32Pass::run(), luci::SparsifyTensorPass::run(), luci::SubstitutePackToReshapePass::run(), luci::SubstitutePadV2ToPadPass::run(), luci::SubstituteSplitVToSplitPass::run(), luci::SubstituteSqueezeToReshapePass::run(), luci::SubstituteStridedSliceToReshapePass::run(), luci::SubstituteTransposeToReshapePass::run(), luci::TransformMinMaxToRelu6Pass::run(), luci::TransformMinReluToRelu6Pass::run(), luci::UnrollUnidirectionalSequenceLSTMPass::run(), luci::XpSepActFromTransposeConvPass::run(), luci::QuantizeOnnxDequantizeLinearPass::run(), luci::QuantizeOnnxQDQPass::run(), luci::QuantizeWithPredecessorPass::run(), exo::CanonicalNodeConverter< CanonicalType >::run(), exo::TensorBroadcastConverter::run(), exo::MergeConcatNodesPass::run(), luci::CommonSubExpressionEliminationPass::run(), luci::CopyQuantParamPass::run(), luci::ForceQuantParamPass::run(), luci::QuantizeDequantizeWeightsPass::run(), luci::QuantizeOnnxFakeQuantModelPass::run(), luci::QuantizeWeightsPass::run(), luci::QuantizeWithMinMaxPass::run(), luci::RequantizePass::run(), luci::QuantizePreCheckerPass::run(), moco::tf::SimpleNodeTransform< ConcreteNode >::run(), logo::ConstantFoldingPass::run(), logo::ResolveDuplicateReshapePass::run(), logo::ResolveRedundantReshapePass::run(), moco::ConstantFoldAdd::run(), moco::ConstantFoldMul::run(), moco::ConstantFoldPack::run(), moco::ConstantFoldStridedSlice::run(), moco::FuseBinaryIntoPreceding::run(), moco::ResolveConstantShape::run(), moco::ResolveFusedBatchNorm::run(), moco::ResolveReshapeWildcardDim::run(), moco::ResolveSquaredDifference::run(), moco::SqueezeReduceNode::run(), luci::FuseBCQPass::run(), prunner::PModelsRunner::run(), prunner::PModelsRunner::save_outputs(), loco::ShapeInferenceSession::to(), loco::TypeInferenceSession::to(), luci::QuantizedModelVerifier::verify(), and q_implant::QImplant::write().

    @@ -3074,7 +3074,7 @@

    57 return res;
    58}
    -

    Referenced by luci_interpreter::collectOutputNodes(), mpqsolver::bisection::compute_depth(), locop::FormattedGraphImpl< Formatter::LinearV1 >::dump(), luci::fuse_activation_function(), luci::fuse_add_with_conv(), luci::fuse_mul_with_conv(), luci::fuse_sub_with_conv(), luci::get_channel_dim_index(), exo::test::get_only_succ(), dalgona::outputsPyArray(), luci::propagate_concat_quantparam(), luci::propagate_pad_v2_quantparam(), logo::ReorderDecodePass< loco::TensorBiasAdd >::run(), logo::ReorderDecodePass< loco::ReLU >::run(), luci::ConvertNCHWToNHWCPass::run(), luci::FoldDequantizePass::run(), opselector::OpSelector::select_by(), and luci::swap_mul_add().

    +

    Referenced by luci_interpreter::collectOutputNodes(), mpqsolver::bisection::compute_depth(), locop::FormattedGraphImpl< Formatter::LinearV1 >::dump(), luci::fuse_activation_function(), luci::fuse_add_with_conv(), luci::fuse_mul_with_conv(), luci::fuse_sub_with_conv(), luci::get_channel_dim_index(), exo::test::get_only_succ(), dalgona::outputsPyArray(), luci::propagate_concat_quantparam(), luci::propagate_pad_v2_quantparam(), logo::ReorderDecodePass< loco::TensorBiasAdd >::run(), logo::ReorderDecodePass< loco::ReLU >::run(), luci::ConvertNCHWToNHWCPass::run(), luci::FoldDequantizePass::run(), opselector::OpSelector::select_by(), and luci::swap_mul_add().

    diff --git a/namespacelocoex.html b/namespacelocoex.html index b82f7c1bcc6..597eae77bdc 100644 --- a/namespacelocoex.html +++ b/namespacelocoex.html @@ -350,7 +350,7 @@

    Enumerator

    CIRCLE_NODE 
    -

    Definition at line 23 of file CircleOpcode.h.

    +

    Definition at line 23 of file CircleOpcode.h.

    24{
    25#define CIRCLE_NODE(OPCODE, CLASS) OPCODE,
    26#include "CircleNodes.lst"
    diff --git a/namespaceluci.html b/namespaceluci.html index 0a301655c6d..1998e18df82 100644 --- a/namespaceluci.html +++ b/namespaceluci.html @@ -2132,7 +2132,7 @@

    CIRCLE_VNODE  -

    Definition at line 23 of file CircleOpcode.h.

    +

    Definition at line 23 of file CircleOpcode.h.

    24{
    25#define CIRCLE_NODE(OPCODE, CLASS) OPCODE,
    26#define CIRCLE_VNODE CIRCLE_NODE
    @@ -5202,7 +5202,7 @@

    284 return false;

    285}
    void set(uint32_t value)
    Definition Dimension.h:53
    - +

    References loco::TensorShape::dim(), loco::Dimension::set(), and loco::succs().

    @@ -5234,7 +5234,7 @@

    References loco::AnnotatedItem< Annotation >::annot(), and has_execution_plan().

    -

    Referenced by luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), exportNodes(), luci_interpreter::GraphLoader::loadOperators(), and luci_interpreter::GraphLoader::loadTensors().

    +

    Referenced by luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), exportNodes(), luci_interpreter::GraphLoader::loadOperators(), and luci_interpreter::GraphLoader::loadTensors().

    @@ -5463,7 +5463,7 @@

    References loco::AnnotatedItem< Annotation >::annot().

    -

    Referenced by luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), exportNodes(), get_execution_plan(), luci_interpreter::GraphLoader::loadOperators(), and luci_interpreter::GraphLoader::loadTensors().

    +

    Referenced by luci_interpreter::build_kernel_CircleAveragePool2D(), luci_interpreter::build_kernel_CircleBatchMatMul(), luci_interpreter::build_kernel_CircleConv2D(), luci_interpreter::build_kernel_CircleDepthwiseConv2D(), exportNodes(), get_execution_plan(), luci_interpreter::GraphLoader::loadOperators(), and luci_interpreter::GraphLoader::loadTensors().

    diff --git a/namespaceluci__interpreter.html b/namespaceluci__interpreter.html index cfc3d0f7569..3f900d3dc2c 100644 --- a/namespaceluci__interpreter.html +++ b/namespaceluci__interpreter.html @@ -1798,7 +1798,7 @@

    -

    Definition at line 25 of file Conv2D.cpp.

    +

    Definition at line 25 of file Conv2D.cpp.

    27{
    28 const auto *node = loco::must_cast<const luci::CircleConv2D *>(circle_node);
    29 assert(node->arity() == 3);
    @@ -2161,7 +2161,7 @@

    -

    Definition at line 24 of file Elu.cpp.

    +

    Definition at line 24 of file Elu.cpp.

    26{
    27 const auto *node = loco::must_cast<const luci::CircleElu *>(circle_node);
    28 assert(node->arity() == 1);
    @@ -2507,20 +2507,21 @@

    35 FullyConnectedParams params{};

    36 params.activation = node->fusedActivationFunction();
    37 params.keep_num_dims = node->keep_num_dims();
    -
    38 if (weights->element_type() == loco::DataType::S4)
    -
    39 {
    -
    40 auto scratchpad =
    -
    41 std::make_unique<Tensor>(input->element_type(), weights->shape(), AffineQuantization{}, "");
    -
    42 scratchpad->set_observable(false);
    -
    43 scratchpad->set_data_buffer(nullptr);
    -
    44 Tensor *scratchpad_tmp =
    -
    45 helper.getRuntimeGraph(node->graph())->addTensor(std::move(scratchpad));
    -
    46 helper.getRuntimeGraph(node->graph())->configureAllocations(scratchpad_tmp);
    -
    47 return std::make_unique<kernels::FullyConnected>(input, weights, bias, output, scratchpad_tmp,
    -
    48 params);
    -
    49 }
    -
    50 return std::make_unique<kernels::FullyConnected>(input, weights, bias, output, params);
    -
    51}
    +
    38 if (weights->element_type() == loco::DataType::S4 ||
    +
    39 weights->element_type() == loco::DataType::U4)
    +
    40 {
    +
    41 auto scratchpad =
    +
    42 std::make_unique<Tensor>(input->element_type(), weights->shape(), AffineQuantization{}, "");
    +
    43 scratchpad->set_observable(false);
    +
    44 scratchpad->set_data_buffer(nullptr);
    +
    45 Tensor *scratchpad_tmp =
    +
    46 helper.getRuntimeGraph(node->graph())->addTensor(std::move(scratchpad));
    +
    47 helper.getRuntimeGraph(node->graph())->configureAllocations(scratchpad_tmp);
    +
    48 return std::make_unique<kernels::FullyConnected>(input, weights, bias, output, scratchpad_tmp,
    +
    49 params);
    +
    50 }
    +
    51 return std::make_unique<kernels::FullyConnected>(input, weights, bias, output, params);
    +
    52}
    void configureAllocations(Tensor *tensor)
    const Shape & shape() const
    Definition Tensor.h:107
    @@ -2973,7 +2974,7 @@

    -

    Definition at line 24 of file LeakyRelu.cpp.

    +

    Definition at line 24 of file LeakyRelu.cpp.

    26{
    27 const auto *node = loco::must_cast<const luci::CircleLeakyRelu *>(circle_node);
    28 assert(node->arity() == 1);
    @@ -4245,7 +4246,7 @@

    -

    Definition at line 24 of file Relu6.cpp.

    +

    Definition at line 24 of file Relu6.cpp.

    26{
    27 const auto *node = loco::must_cast<const luci::CircleRelu6 *>(circle_node);
    28 assert(node->arity() == 1);
    @@ -6430,7 +6431,7 @@

    -

    Definition at line 213 of file Conv2D.cpp.

    +

    Definition at line 213 of file Conv2D.cpp.

    214{
    215 kernels::DownsamplingConv2DKernel kernel(cur_op, runtime_graph);
    216
    @@ -6790,7 +6791,7 @@

    -

    Definition at line 26 of file Elu.cpp.

    +

    Definition at line 26 of file Elu.cpp.

    27{
    28 kernels::SISOKernel kernel(cur_op, runtime_graph);
    29
    @@ -7597,7 +7598,7 @@

    -

    Definition at line 26 of file LeakyRelu.cpp.

    +

    Definition at line 26 of file LeakyRelu.cpp.

    28{
    29 kernels::SISOKernel kernel(cur_op, runtime_graph);
    30
    @@ -8763,7 +8764,7 @@

    -

    Definition at line 26 of file Relu6.cpp.

    +

    Definition at line 26 of file Relu6.cpp.

    27{
    28 kernels::SISOKernel kernel(cur_op, runtime_graph);
    29
    @@ -11419,7 +11420,7 @@

    -

    Definition at line 282 of file Conv2D.cpp.

    +

    Definition at line 282 of file Conv2D.cpp.

    283{
    284 kernels::DownsamplingConv2DKernel kernel(cur_op, runtime_graph);
    285
    @@ -11837,7 +11838,7 @@

    -

    Definition at line 37 of file Elu.cpp.

    +

    Definition at line 37 of file Elu.cpp.

    38{
    39 kernels::SISOKernel kernel(cur_op, runtime_graph);
    40
    @@ -12924,7 +12925,7 @@

    -

    Definition at line 38 of file LeakyRelu.cpp.

    +

    Definition at line 38 of file LeakyRelu.cpp.

    39{
    40 kernels::SISOKernel kernel(cur_op, runtime_graph);
    41
    @@ -14645,7 +14646,7 @@

    -

    Definition at line 37 of file Relu6.cpp.

    +

    Definition at line 37 of file Relu6.cpp.

    38{
    39 kernels::SISOKernel kernel(cur_op, runtime_graph);
    40
    diff --git a/namespaceluci__interpreter_1_1kernels.html b/namespaceluci__interpreter_1_1kernels.html index 626d7c03a5e..4a37cfa7024 100644 --- a/namespaceluci__interpreter_1_1kernels.html +++ b/namespaceluci__interpreter_1_1kernels.html @@ -1478,7 +1478,7 @@

    72 }

    73}

    -

    Referenced by luci_interpreter::computeConvPadding(), luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::L2Pool2D::configure(), luci_interpreter::kernels::MaxPool2D::configure(), luci_interpreter::kernels::TransposeConv::configure(), and luci_interpreter::createPoolParams().

    +

    Referenced by luci_interpreter::computeConvPadding(), luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::L2Pool2D::configure(), luci_interpreter::kernels::MaxPool2D::configure(), luci_interpreter::kernels::TransposeConv::configure(), and luci_interpreter::createPoolParams().

    @@ -1541,7 +1541,7 @@

    46 return padding > 0 ? padding : 0;

    47}

    -

    Referenced by luci_interpreter::computeConvPadding(), luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::L2Pool2D::configure(), luci_interpreter::kernels::MaxPool2D::configure(), luci_interpreter::kernels::TransposeConv::configure(), and luci_interpreter::createPoolParams().

    +

    Referenced by luci_interpreter::computeConvPadding(), luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::L2Pool2D::configure(), luci_interpreter::kernels::MaxPool2D::configure(), luci_interpreter::kernels::TransposeConv::configure(), and luci_interpreter::createPoolParams().

    @@ -2545,7 +2545,7 @@

    References luci_interpreter::RuntimeGraph::getDynamicShapeTensor(), getTensorShape(), luci_interpreter::RuntimeShape::resize(), and luci_interpreter::RuntimeShape::setDim().

    -

    Referenced by luci_interpreter::evalInteger(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleArgMax(), luci_interpreter::execute_kernel_CircleArgMin(), luci_interpreter::execute_kernel_CircleBatchToSpaceND(), luci_interpreter::execute_kernel_CircleBroadcastTo(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleDiv(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleGatherND(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleMul(), luci_interpreter::execute_kernel_CirclePRelu(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleResizeNearestNeighbor(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSpaceToBatchND(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSquaredDifference(), luci_interpreter::execute_kernel_CircleSub(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    +

    Referenced by luci_interpreter::evalInteger(), luci_interpreter::execute_kernel_CircleAbs(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleArgMax(), luci_interpreter::execute_kernel_CircleArgMin(), luci_interpreter::execute_kernel_CircleBatchToSpaceND(), luci_interpreter::execute_kernel_CircleBroadcastTo(), luci_interpreter::execute_kernel_CircleCast(), luci_interpreter::execute_kernel_CircleCeil(), luci_interpreter::execute_kernel_CircleCos(), luci_interpreter::execute_kernel_CircleDepthToSpace(), luci_interpreter::execute_kernel_CircleDequantize(), luci_interpreter::execute_kernel_CircleDiv(), luci_interpreter::execute_kernel_CircleElu(), luci_interpreter::execute_kernel_CircleExp(), luci_interpreter::execute_kernel_CircleFloorDiv(), luci_interpreter::execute_kernel_CircleFloorMod(), luci_interpreter::execute_kernel_CircleGatherND(), luci_interpreter::execute_kernel_CircleL2Normalize(), luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleLog(), luci_interpreter::execute_kernel_CircleLogistic(), luci_interpreter::execute_kernel_CircleLogSoftmax(), luci_interpreter::execute_kernel_CircleMaximum(), luci_interpreter::execute_kernel_CircleMinimum(), luci_interpreter::execute_kernel_CircleMul(), luci_interpreter::execute_kernel_CirclePRelu(), luci_interpreter::execute_kernel_CircleQuantize(), luci_interpreter::execute_kernel_CircleRelu(), luci_interpreter::execute_kernel_CircleRelu6(), luci_interpreter::execute_kernel_CircleResizeNearestNeighbor(), luci_interpreter::execute_kernel_CircleRound(), luci_interpreter::execute_kernel_CircleRsqrt(), luci_interpreter::execute_kernel_CircleSin(), luci_interpreter::execute_kernel_CircleSpaceToBatchND(), luci_interpreter::execute_kernel_CircleSpaceToDepth(), luci_interpreter::execute_kernel_CircleSqrt(), luci_interpreter::execute_kernel_CircleSquare(), luci_interpreter::execute_kernel_CircleSquaredDifference(), luci_interpreter::execute_kernel_CircleSub(), luci_interpreter::execute_kernel_CircleTanh(), and luci_interpreter::execute_kernel_CircleZerosLike().

    @@ -2632,7 +2632,7 @@

    References luci_interpreter::Shape::dim(), and luci_interpreter::Shape::num_dims().

    -

    Referenced by luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::BatchMatMul::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::configure_kernel_CircleFloor(), luci_interpreter::configure_kernel_CircleLogicalNot(), luci_interpreter::configure_kernel_CircleResizeBilinear(), luci_interpreter::configure_kernel_CircleSquare(), luci_interpreter::configure_kernel_CircleSqueeze(), evalComparisonGeneric(), evalTISOQuantizedKernel(), luci_interpreter::kernels::BatchMatMul::execute(), luci_interpreter::kernels::BatchToSpaceND::execute(), luci_interpreter::kernels::CumSum::execute(), luci_interpreter::kernels::DepthToSpace::execute(), luci_interpreter::kernels::Dequantize::execute(), luci_interpreter::kernels::Elu::execute(), luci_interpreter::kernels::Fill::execute(), luci_interpreter::kernels::HardSwish::execute(), luci_interpreter::kernels::L2Pool2D::execute(), luci_interpreter::kernels::LocalResponseNormalization::execute(), luci_interpreter::kernels::LogicalOr::execute(), luci_interpreter::kernels::Pad::execute(), luci_interpreter::kernels::PadV2::execute(), luci_interpreter::kernels::Quantize::execute(), luci_interpreter::kernels::ResizeBilinear::execute(), luci_interpreter::kernels::ResizeNearestNeighbor::execute(), luci_interpreter::kernels::ReverseV2::execute(), luci_interpreter::kernels::Slice::execute(), luci_interpreter::kernels::SpaceToBatchND::execute(), luci_interpreter::kernels::SpaceToDepth::execute(), luci_interpreter::kernels::StridedSlice::execute(), luci_interpreter::kernels::Transpose::execute(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleFloor(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLogicalAnd(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogicalOr(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleMean(), luci_interpreter::execute_kernel_CircleNeg(), luci_interpreter::execute_kernel_CirclePadCommon(), luci_interpreter::execute_kernel_CircleResizeBilinear(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleStridedSlice(), luci_interpreter::execute_kernel_CircleTranspose(), getTensorRuntimeShape(), TransposeRowsColumns(), and luci_interpreter::kernels::VectorOfTensors< T, is_const >::VectorOfTensors().

    +

    Referenced by luci_interpreter::kernels::AveragePool2D::configure(), luci_interpreter::kernels::BatchMatMul::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::StridedSlice::configure(), luci_interpreter::configure_kernel_CircleFloor(), luci_interpreter::configure_kernel_CircleLogicalNot(), luci_interpreter::configure_kernel_CircleResizeBilinear(), luci_interpreter::configure_kernel_CircleSquare(), luci_interpreter::configure_kernel_CircleSqueeze(), evalComparisonGeneric(), evalTISOQuantizedKernel(), luci_interpreter::kernels::BatchMatMul::execute(), luci_interpreter::kernels::BatchToSpaceND::execute(), luci_interpreter::kernels::CumSum::execute(), luci_interpreter::kernels::DepthToSpace::execute(), luci_interpreter::kernels::Dequantize::execute(), luci_interpreter::kernels::Elu::execute(), luci_interpreter::kernels::Fill::execute(), luci_interpreter::kernels::HardSwish::execute(), luci_interpreter::kernels::L2Pool2D::execute(), luci_interpreter::kernels::LocalResponseNormalization::execute(), luci_interpreter::kernels::LogicalOr::execute(), luci_interpreter::kernels::Pad::execute(), luci_interpreter::kernels::PadV2::execute(), luci_interpreter::kernels::Quantize::execute(), luci_interpreter::kernels::ResizeBilinear::execute(), luci_interpreter::kernels::ResizeNearestNeighbor::execute(), luci_interpreter::kernels::ReverseV2::execute(), luci_interpreter::kernels::Slice::execute(), luci_interpreter::kernels::SpaceToBatchND::execute(), luci_interpreter::kernels::SpaceToDepth::execute(), luci_interpreter::kernels::StridedSlice::execute(), luci_interpreter::kernels::Transpose::execute(), luci_interpreter::execute_kernel_CircleAveragePool2D(), luci_interpreter::execute_kernel_CircleFloor(), luci_interpreter::execute_kernel_CircleL2Pool2D(), luci_interpreter::execute_kernel_CircleLogicalAnd(), luci_interpreter::execute_kernel_CircleLogicalNot(), luci_interpreter::execute_kernel_CircleLogicalOr(), luci_interpreter::execute_kernel_CircleMaxPool2D(), luci_interpreter::execute_kernel_CircleMean(), luci_interpreter::execute_kernel_CircleNeg(), luci_interpreter::execute_kernel_CirclePadCommon(), luci_interpreter::execute_kernel_CircleResizeBilinear(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleStridedSlice(), luci_interpreter::execute_kernel_CircleTranspose(), getTensorRuntimeShape(), TransposeRowsColumns(), and luci_interpreter::kernels::VectorOfTensors< T, is_const >::VectorOfTensors().

    @@ -3014,7 +3014,7 @@

    190 *quantized_multiplier = static_cast<int32_t>(q_fixed);
    191}
    -

    Referenced by luci_interpreter::kernels::LeakyRelu::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::Relu::configure(), luci_interpreter::kernels::Relu6::configure(), luci_interpreter::createConv2DParams(), quantizeMultipliers(), and quantizeMultiplierSmallerThanOneExp().

    +

    Referenced by luci_interpreter::kernels::LeakyRelu::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::Relu::configure(), luci_interpreter::kernels::Relu6::configure(), luci_interpreter::createConv2DParams(), quantizeMultipliers(), and quantizeMultiplierSmallerThanOneExp().

    diff --git a/namespaceluci__interpreter__pal.html b/namespaceluci__interpreter__pal.html index 0f7e255e545..bcfe5bb5080 100644 --- a/namespaceluci__interpreter__pal.html +++ b/namespaceluci__interpreter__pal.html @@ -10645,7 +10645,7 @@

    36 }
    37}
    -

    Referenced by luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleRelu(), and luci_interpreter::execute_kernel_CircleRelu6().

    +

    Referenced by luci_interpreter::execute_kernel_CircleLeakyRelu(), luci_interpreter::execute_kernel_CircleRelu(), and luci_interpreter::execute_kernel_CircleRelu6().

    @@ -11196,7 +11196,7 @@

    -

    Definition at line 25 of file PALSoftmaxCommon.h.

    +

    Definition at line 25 of file PALSoftmaxCommon.h.

    26{
    27 const int outer_size = params.num_rows;
    28 const int depth = params.row_size;
    diff --git a/namespacemembers_b.html b/namespacemembers_b.html index fead1dcee45..02a5f889d31 100644 --- a/namespacemembers_b.html +++ b/namespacemembers_b.html @@ -366,8 +366,8 @@

    - b -

    diff --git a/namespacemembers_c.html b/namespacemembers_c.html index 24708588418..6b2bf22f9db 100644 --- a/namespacemembers_c.html +++ b/namespacemembers_c.html @@ -115,7 +115,7 @@

    - c -

    diff --git a/namespacemir__interpreter.html b/namespacemir__interpreter.html index 0f50e6e6b27..ce2f6de2e1e 100644 --- a/namespacemir__interpreter.html +++ b/namespacemir__interpreter.html @@ -554,14 +554,14 @@

    -

    Definition at line 254 of file Conv2D.cpp.

    +

    Definition at line 254 of file Conv2D.cpp.

    257{
    258 dispatch<Conv2DImpl>(result.getElementType(), input, kernel, attributes, result, fused_bias);
    259}
    -

    References Conv2D(), and mir::TensorVariant::getElementType().

    +

    References Conv2D(), and mir::TensorVariant::getElementType().

    -

    Referenced by Conv2D(), and mir_interpreter::MIRInterpreter::visit().

    +

    Referenced by Conv2D(), and mir_interpreter::MIRInterpreter::visit().

    @@ -858,7 +858,7 @@

    -

    Definition at line 46 of file ELU.cpp.

    +

    Definition at line 46 of file ELU.cpp.

    @@ -1832,7 +1832,7 @@

    References shift().

    -

    Referenced by QuantizeMultiplierSmallerThanOneExp(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), and mir_interpreter::Conv2DImpl< uint8_t >::run().

    +

    Referenced by QuantizeMultiplierSmallerThanOneExp(), mir_interpreter::DepthwiseConv2DImpl< uint8_t >::run(), mir_interpreter::FullyConnectedImpl< uint8_t >::run(), and mir_interpreter::Conv2DImpl< uint8_t >::run().

    diff --git a/namespacemoco.html b/namespacemoco.html index f8e5caa4fa4..e41ecf0e704 100644 --- a/namespacemoco.html +++ b/namespacemoco.html @@ -1814,7 +1814,7 @@

    31 return s;
    32}
    -

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), and moco::DepthwiseConv2dNativeGraphBuilder::validate().

    +

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), and moco::DepthwiseConv2dNativeGraphBuilder::validate().

    @@ -1935,7 +1935,7 @@

    251} -

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::ConcatV2GraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::PackGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::tf::COpCallGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::ReshapeGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), and moco::UpdateQueue::enroll().

    +

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::ConcatV2GraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::PackGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::tf::COpCallGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::ReshapeGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), and moco::UpdateQueue::enroll().

    diff --git a/namespacemorph.html b/namespacemorph.html index aecb4e5cfe7..312da3b290c 100644 --- a/namespacemorph.html +++ b/namespacemorph.html @@ -153,7 +153,7 @@

    -

    Definition at line 24 of file dims.cpp.

    +

    Definition at line 24 of file dims.cpp.

    @@ -164,7 +164,7 @@

    References nncc::core::ADT::tensor::Shape::dim(), and nncc::core::ADT::tensor::Shape::rank().

    -

    Referenced by tflimport::Conv2DGraphBuilder::build().

    +

    Referenced by tflimport::Conv2DGraphBuilder::build().

    diff --git a/namespaceonert_1_1ir.html b/namespaceonert_1_1ir.html index 86d9a65bfbb..5db32d72ce5 100644 --- a/namespaceonert_1_1ir.html +++ b/namespaceonert_1_1ir.html @@ -1693,7 +1693,7 @@

    58}
    Half float16
    Definition DataType.cc:22
    -

    Referenced by onert::backend::builtin::UserTensor::applyShape(), onert::backend::basic::Tensor::applyShape(), NNAPIConvert::calculateSizeFromType(), onert::ir::Operand::operandSize(), onert::backend::builtin::kernel::PermuteLayer::optimize(), onert::exec::Execution::setInput(), and onert::ir::OperandInfo::total_size().

    +

    Referenced by onert::backend::builtin::UserTensor::applyShape(), onert::backend::basic::Tensor::applyShape(), NNAPIConvert::calculateSizeFromType(), onert::ir::Operand::operandSize(), onert::backend::builtin::kernel::PermuteLayer::optimize(), onert::exec::Execution::setInput(), and onert::ir::OperandInfo::total_size().

    diff --git a/namespaceonert__micro_1_1execute_1_1pal.html b/namespaceonert__micro_1_1execute_1_1pal.html index 9f6bbe4ca8f..6b36be50bc4 100644 --- a/namespaceonert__micro_1_1execute_1_1pal.html +++ b/namespaceonert__micro_1_1execute_1_1pal.html @@ -152,6 +152,8 @@ template<typename T > OMStatus BroadcastMul4DSlow (const core::BinaryArithmeticBroadcastParams &params, const core::OMRuntimeShape &input1_shape, const T *input1_data, const core::OMRuntimeShape &input2_shape, const T *input2_data, const core::OMRuntimeShape &output_shape, T *output_data)   +OMStatus Softmax (const core::SoftmaxParams &params, const float *input_data, float *output_data) +  template<typename T > OMStatus StridedSlice (core::StridedSliceParams &op_params, const core::OMRuntimeShape &unextended_input_shape, const T *input_data, T *output_data)   @@ -222,6 +224,12 @@   OMStatus MaxPool (const core::Pool2DParams &, const core::OMRuntimeShape &, const uint8_t *, const core::OMRuntimeShape &, uint8_t *, circle::TensorType)   +OMStatus Softmax (const core::SoftmaxParams &params, const int8_t *input_data, int8_t *output_data) +  +OMStatus Softmax (const core::SoftmaxParams &params, const int8_t *input_data, int16_t *output_data) +  +OMStatus Softmax (const core::SoftmaxParams &params, const int16_t *input_data, int16_t *output_data) + 

    Function Documentation

    @@ -2949,6 +2957,211 @@

    Referenced by multiplyByQuantizedMultiplier(), and multiplyByQuantizedMultiplierSmallerThanOneExp().

    + + + +

    ◆ Softmax() [1/4]

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    OMStatus onert_micro::execute::pal::Softmax (const core::SoftmaxParamsparams,
    const float * input_data,
    float * output_data 
    )
    +
    + +

    Definition at line 32 of file PALSoftmaxCommon.h.

    +
    33{
    +
    34 const int outer_size = params.num_rows;
    +
    35 const int depth = params.row_size;
    +
    36 const double beta = params.beta;
    +
    37
    +
    38 for (int i = 0; i < outer_size; ++i)
    +
    39 {
    +
    40 // Find max element value which we'll use to ensure numerical stability
    +
    41 // taking advantage of the following equality:
    +
    42 // exp(x[i])/sum(exp(x[i])) == exp(x[i]+C)/sum(exp(x[i]+C))
    +
    43 float max = std::numeric_limits<float>::lowest();
    +
    44 for (int c = 0; c < depth; ++c)
    +
    45 {
    +
    46 max = std::max(max, input_data[i * depth + c]);
    +
    47 }
    +
    48
    +
    49 // Compute sum.
    +
    50 float sum = 0.f;
    +
    51 for (int c = 0; c < depth; ++c)
    +
    52 {
    +
    53 const float exp_c = std::exp((input_data[i * depth + c] - max) * static_cast<float>(beta));
    +
    54 output_data[i * depth + c] = exp_c;
    +
    55 sum += exp_c;
    +
    56 }
    +
    57
    +
    58 assert(sum != 0);
    +
    59
    +
    60 if (sum == 0)
    +
    61 return UnknownError;
    +
    62
    +
    63 // Compute result.
    +
    64 for (int c = 0; c < depth; ++c)
    +
    65 {
    +
    66 output_data[i * depth + c] = output_data[i * depth + c] / sum;
    +
    67 }
    +
    68 }
    +
    69 return Ok;
    +
    70}
    + + + +
    +

    References onert_micro::core::SoftmaxParams::beta, onert_micro::core::SoftmaxParams::num_rows, onert_micro::Ok, onert_micro::core::SoftmaxParams::row_size, and onert_micro::UnknownError.

    + +
    +
    + +

    ◆ Softmax() [2/4]

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    OMStatus onert_micro::execute::pal::Softmax (const core::SoftmaxParamsparams,
    const int16_t * input_data,
    int16_t * output_data 
    )
    +
    + +

    Definition at line 42 of file PALSoftmax.h.

    +
    43{
    +
    44 assert(false && "Not supported now");
    +
    45 return UnsupportedType;
    +
    46}
    +
    +

    References onert_micro::UnsupportedType.

    + +
    +
    + +

    ◆ Softmax() [3/4]

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    OMStatus onert_micro::execute::pal::Softmax (const core::SoftmaxParamsparams,
    const int8_t * input_data,
    int16_t * output_data 
    )
    +
    + +

    Definition at line 36 of file PALSoftmax.h.

    +
    37{
    +
    38 assert(false && "Not supported now");
    +
    39 return UnsupportedType;
    +
    40}
    +
    +

    References onert_micro::UnsupportedType.

    + +
    +
    + +

    ◆ Softmax() [4/4]

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    OMStatus onert_micro::execute::pal::Softmax (const core::SoftmaxParamsparams,
    const int8_t * input_data,
    int8_t * output_data 
    )
    +
    + +

    Definition at line 30 of file PALSoftmax.h.

    +
    31{
    +
    32 assert(false && "Not supported now");
    +
    33 return UnsupportedType;
    +
    34}
    +
    +

    References onert_micro::UnsupportedType.

    +
    diff --git a/namespaceonert__micro_1_1execute_1_1pal.js b/namespaceonert__micro_1_1execute_1_1pal.js index 4181c26a584..a279110cf0f 100644 --- a/namespaceonert__micro_1_1execute_1_1pal.js +++ b/namespaceonert__micro_1_1execute_1_1pal.js @@ -44,6 +44,10 @@ var namespaceonert__micro_1_1execute_1_1pal = [ "reducedOutputOffset", "namespaceonert__micro_1_1execute_1_1pal.html#a917c4ed35594d1bdbf9d7480dd2cc80b", null ], [ "roundingDivideByPOT", "namespaceonert__micro_1_1execute_1_1pal.html#ae80281d044eff14f43bc3fc7d5641ff1", null ], [ "saturatingRoundingDoublingHighMul", "namespaceonert__micro_1_1execute_1_1pal.html#a2ad5774e254ec60ce4ee72beda2089a7", null ], + [ "Softmax", "namespaceonert__micro_1_1execute_1_1pal.html#afeb5fc0a6a1aaded64afaecccaefc556", null ], + [ "Softmax", "namespaceonert__micro_1_1execute_1_1pal.html#a946431aa4d01c313667769633fdbd614", null ], + [ "Softmax", "namespaceonert__micro_1_1execute_1_1pal.html#a7c897c085dd763a331e29b89a5e4ed61", null ], + [ "Softmax", "namespaceonert__micro_1_1execute_1_1pal.html#ae98733118003d134b95c5bfa136eab11", null ], [ "StridedSlice", "namespaceonert__micro_1_1execute_1_1pal.html#aff72ea7fb85bda5d1e9eb943d48bd152", null ], [ "Sub", "namespaceonert__micro_1_1execute_1_1pal.html#a1c0c990864cc97c0fce38c0630644fd3", null ], [ "subscriptToIndex", "namespaceonert__micro_1_1execute_1_1pal.html#ad9e74c86d5b3756c062fb4686573da51", null ], diff --git a/namespaceonert__micro_1_1test__model.html b/namespaceonert__micro_1_1test__model.html index 5070da2b03e..14624008585 100644 --- a/namespaceonert__micro_1_1test__model.html +++ b/namespaceonert__micro_1_1test__model.html @@ -186,6 +186,10 @@   namespace  neg_reshape_kernel   +namespace  neg_softmax_input_output_type_mismatch +  +namespace  neg_softmax_no_quant_params +  namespace  pack_float   namespace  pack_int @@ -198,6 +202,8 @@   namespace  shape_kernel   +namespace  softmax_float +  namespace  strided_slice_kernel   namespace  sub_float_no_broadcasting @@ -233,6 +239,8 @@   class  NegTestDataInputOutputTypeMismatchMaxPool2DKernel   +class  NegTestDataInputOutputTypeMismatchSoftmaxKernel +  class  NegTestDataInputOutputTypeMismatchSubKernel   class  NegTestDataInputsTypeMismatchSubKernel @@ -249,6 +257,8 @@   class  NegTestDataNoQuantParamsS16AddKernel   +class  NegTestDataNoQuantParamsSoftmaxKernel +  class  NegTestDataNoQuantParamsSubKernel   class  NegTestDataWrongAxisGatherKernel @@ -295,6 +305,8 @@   class  TestDataFloatPack   +class  TestDataFloatSoftmax +  class  TestDataFloatSub   class  TestDataFullyConnectedBase @@ -333,6 +345,8 @@   class  TestDataShapeKernel   +class  TestDataSoftmaxBase +  class  TestDataStridedSliceKernel   class  TestDataSubBase diff --git a/namespaceonert__micro_1_1test__model.js b/namespaceonert__micro_1_1test__model.js index 25a61b9021c..3d9ff0bd576 100644 --- a/namespaceonert__micro_1_1test__model.js +++ b/namespaceonert__micro_1_1test__model.js @@ -189,6 +189,12 @@ var namespaceonert__micro_1_1test__model = [ "reference_output_data", "namespaceonert__micro_1_1test__model_1_1neg__reshape__kernel.html#a23a32422639796a98c5cf5206bbf4460", null ], [ "test_kernel_model_circle", "namespaceonert__micro_1_1test__model_1_1neg__reshape__kernel.html#a4daef57c6cd5768b9aee1af3d8a9836b", null ] ] ], + [ "neg_softmax_input_output_type_mismatch", "namespaceonert__micro_1_1test__model_1_1neg__softmax__input__output__type__mismatch.html", [ + [ "test_kernel_model_circle", "namespaceonert__micro_1_1test__model_1_1neg__softmax__input__output__type__mismatch.html#a336734ad7014ea12f46a339758bcf71d", null ] + ] ], + [ "neg_softmax_no_quant_params", "namespaceonert__micro_1_1test__model_1_1neg__softmax__no__quant__params.html", [ + [ "test_kernel_model_circle", "namespaceonert__micro_1_1test__model_1_1neg__softmax__no__quant__params.html#ad6226522acfe5f5faf63671abd2ff7c8", null ] + ] ], [ "pack_float", "namespaceonert__micro_1_1test__model_1_1pack__float.html", [ [ "input_data_1", "namespaceonert__micro_1_1test__model_1_1pack__float.html#a9926d746382ca8b316e371b4a2dc7535", null ], [ "input_data_2", "namespaceonert__micro_1_1test__model_1_1pack__float.html#a5dec97744d497895b0e224948983dc34", null ], @@ -222,6 +228,11 @@ var namespaceonert__micro_1_1test__model = [ "reference_output_data", "namespaceonert__micro_1_1test__model_1_1shape__kernel.html#affcc491817ce7d9c284aa1f4280c0c9e", null ], [ "test_kernel_model_circle", "namespaceonert__micro_1_1test__model_1_1shape__kernel.html#a8534396445f150e881cd7650fbfbd42e", null ] ] ], + [ "softmax_float", "namespaceonert__micro_1_1test__model_1_1softmax__float.html", [ + [ "input_data", "namespaceonert__micro_1_1test__model_1_1softmax__float.html#ac991962a0912230e5f8f63589f28bf31", null ], + [ "reference_output_data", "namespaceonert__micro_1_1test__model_1_1softmax__float.html#a235eb130b3d2bc18c271ca2597548703", null ], + [ "test_kernel_model_circle", "namespaceonert__micro_1_1test__model_1_1softmax__float.html#a3e2a8a0b21ab721f301b159af253ffff", null ] + ] ], [ "strided_slice_kernel", "namespaceonert__micro_1_1test__model_1_1strided__slice__kernel.html", [ [ "input_data", "namespaceonert__micro_1_1test__model_1_1strided__slice__kernel.html#a8efec7e7612bb265ba7716d27b456df9", null ], [ "reference_output_data", "namespaceonert__micro_1_1test__model_1_1strided__slice__kernel.html#a90874bcb2a86b903254280bcf8131404", null ], @@ -264,6 +275,7 @@ var namespaceonert__micro_1_1test__model = [ "NegTestDataInputOutputTypeMismatchGatherKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_gather_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_gather_kernel" ], [ "NegTestDataInputOutputTypeMismatchLogisticKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_logistic_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_logistic_kernel" ], [ "NegTestDataInputOutputTypeMismatchMaxPool2DKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_max_pool2_d_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_max_pool2_d_kernel" ], + [ "NegTestDataInputOutputTypeMismatchSoftmaxKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_softmax_kernel" ], [ "NegTestDataInputOutputTypeMismatchSubKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_sub_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_input_output_type_mismatch_sub_kernel" ], [ "NegTestDataInputsTypeMismatchSubKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_inputs_type_mismatch_sub_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_inputs_type_mismatch_sub_kernel" ], [ "NegTestDataInt16TypeMul", "classonert__micro_1_1test__model_1_1_neg_test_data_int16_type_mul.html", "classonert__micro_1_1test__model_1_1_neg_test_data_int16_type_mul" ], @@ -272,6 +284,7 @@ var namespaceonert__micro_1_1test__model = [ "NegTestDataNoQuantParamsLogisticKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_logistic_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_logistic_kernel" ], [ "NegTestDataNoQuantParamsMaxPool2DKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_max_pool2_d_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_max_pool2_d_kernel" ], [ "NegTestDataNoQuantParamsS16AddKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_s16_add_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_s16_add_kernel" ], + [ "NegTestDataNoQuantParamsSoftmaxKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_softmax_kernel" ], [ "NegTestDataNoQuantParamsSubKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_sub_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_no_quant_params_sub_kernel" ], [ "NegTestDataWrongAxisGatherKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_wrong_axis_gather_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_wrong_axis_gather_kernel" ], [ "NegTestDataWrongBiasShapeFullyConnectedKernel", "classonert__micro_1_1test__model_1_1_neg_test_data_wrong_bias_shape_fully_connected_kernel.html", "classonert__micro_1_1test__model_1_1_neg_test_data_wrong_bias_shape_fully_connected_kernel" ], @@ -295,6 +308,7 @@ var namespaceonert__micro_1_1test__model = [ "TestDataFloatMaxPool2D", "classonert__micro_1_1test__model_1_1_test_data_float_max_pool2_d.html", "classonert__micro_1_1test__model_1_1_test_data_float_max_pool2_d" ], [ "TestDataFloatMul", "classonert__micro_1_1test__model_1_1_test_data_float_mul.html", "classonert__micro_1_1test__model_1_1_test_data_float_mul" ], [ "TestDataFloatPack", "classonert__micro_1_1test__model_1_1_test_data_float_pack.html", "classonert__micro_1_1test__model_1_1_test_data_float_pack" ], + [ "TestDataFloatSoftmax", "classonert__micro_1_1test__model_1_1_test_data_float_softmax.html", "classonert__micro_1_1test__model_1_1_test_data_float_softmax" ], [ "TestDataFloatSub", "classonert__micro_1_1test__model_1_1_test_data_float_sub.html", "classonert__micro_1_1test__model_1_1_test_data_float_sub" ], [ "TestDataFullyConnectedBase", "classonert__micro_1_1test__model_1_1_test_data_fully_connected_base.html", "classonert__micro_1_1test__model_1_1_test_data_fully_connected_base" ], [ "TestDataGatherBase", "classonert__micro_1_1test__model_1_1_test_data_gather_base.html", "classonert__micro_1_1test__model_1_1_test_data_gather_base" ], @@ -314,6 +328,7 @@ var namespaceonert__micro_1_1test__model = [ "TestDataS64Concatenation", "classonert__micro_1_1test__model_1_1_test_data_s64_concatenation.html", "classonert__micro_1_1test__model_1_1_test_data_s64_concatenation" ], [ "TestDataS8FullyConnected", "classonert__micro_1_1test__model_1_1_test_data_s8_fully_connected.html", "classonert__micro_1_1test__model_1_1_test_data_s8_fully_connected" ], [ "TestDataShapeKernel", "classonert__micro_1_1test__model_1_1_test_data_shape_kernel.html", "classonert__micro_1_1test__model_1_1_test_data_shape_kernel" ], + [ "TestDataSoftmaxBase", "classonert__micro_1_1test__model_1_1_test_data_softmax_base.html", "classonert__micro_1_1test__model_1_1_test_data_softmax_base" ], [ "TestDataStridedSliceKernel", "classonert__micro_1_1test__model_1_1_test_data_strided_slice_kernel.html", "classonert__micro_1_1test__model_1_1_test_data_strided_slice_kernel" ], [ "TestDataSubBase", "classonert__micro_1_1test__model_1_1_test_data_sub_base.html", "classonert__micro_1_1test__model_1_1_test_data_sub_base" ], [ "TestDataWrongAxisConcatenation", "classonert__micro_1_1test__model_1_1_test_data_wrong_axis_concatenation.html", "classonert__micro_1_1test__model_1_1_test_data_wrong_axis_concatenation" ] diff --git a/namespaceonert__micro_1_1test__model_1_1neg__softmax__input__output__type__mismatch.html b/namespaceonert__micro_1_1test__model_1_1neg__softmax__input__output__type__mismatch.html new file mode 100644 index 00000000000..353f8701f8c --- /dev/null +++ b/namespaceonert__micro_1_1test__model_1_1neg__softmax__input__output__type__mismatch.html @@ -0,0 +1,186 @@ + + + + + + + +ONE - On-device Neural Engine: onert_micro::test_model::neg_softmax_input_output_type_mismatch Namespace Reference + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    + +
    onert_micro::test_model::neg_softmax_input_output_type_mismatch Namespace Reference
    +
    +
    + + + + +

    +Variables

    const unsigned char test_kernel_model_circle []
     
    +

    Variable Documentation

    + +

    ◆ test_kernel_model_circle

    + +
    +
    + + + + +
    const unsigned char onert_micro::test_model::neg_softmax_input_output_type_mismatch::test_kernel_model_circle[]
    +
    +Initial value:
    = {
    +
    0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
    +
    0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
    +
    0x2c, 0x00, 0x00, 0x00, 0x40, 0x01, 0x00, 0x00, 0x5c, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
    +
    0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
    +
    0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
    +
    0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
    +
    0x64, 0x00, 0x00, 0x00, 0x68, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
    +
    0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x0e, 0x00, 0x16, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00,
    +
    0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00,
    +
    0x1c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x80, 0x3f, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
    +
    0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
    +
    0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x0c, 0x00, 0x00, 0x00,
    +
    0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x10, 0x00,
    +
    0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
    +
    0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00,
    +
    0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
    +
    0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00,
    +
    0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x00, 0x19, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69,
    +
    0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00}
    +
    +

    Definition at line 37 of file NegSoftmaxKernel.h.

    +
    37 {
    +
    38 0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
    +
    39 0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
    +
    40 0x2c, 0x00, 0x00, 0x00, 0x40, 0x01, 0x00, 0x00, 0x5c, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
    +
    41 0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
    +
    42 0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    43 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
    +
    44 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
    +
    45 0x64, 0x00, 0x00, 0x00, 0x68, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
    +
    46 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
    +
    47 0x00, 0x00, 0x0e, 0x00, 0x16, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00,
    +
    48 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00,
    +
    49 0x1c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
    +
    50 0x00, 0x00, 0x80, 0x3f, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    51 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    52 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
    +
    53 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
    +
    54 0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x0c, 0x00, 0x00, 0x00,
    +
    55 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    56 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x10, 0x00,
    +
    57 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
    +
    58 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00,
    +
    59 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
    +
    60 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00,
    +
    61 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00,
    +
    62 0x00, 0x00, 0x00, 0x19, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69,
    +
    63 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};
    +
    +

    Referenced by onert_micro::test_model::NegTestDataInputOutputTypeMismatchSoftmaxKernel::NegTestDataInputOutputTypeMismatchSoftmaxKernel().

    + +
    +
    +
    +
    + + + + diff --git a/namespaceonert__micro_1_1test__model_1_1neg__softmax__no__quant__params.html b/namespaceonert__micro_1_1test__model_1_1neg__softmax__no__quant__params.html new file mode 100644 index 00000000000..9f9022646de --- /dev/null +++ b/namespaceonert__micro_1_1test__model_1_1neg__softmax__no__quant__params.html @@ -0,0 +1,186 @@ + + + + + + + +ONE - On-device Neural Engine: onert_micro::test_model::neg_softmax_no_quant_params Namespace Reference + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    + +
    onert_micro::test_model::neg_softmax_no_quant_params Namespace Reference
    +
    +
    + + + + +

    +Variables

    const unsigned char test_kernel_model_circle []
     
    +

    Variable Documentation

    + +

    ◆ test_kernel_model_circle

    + +
    +
    + + + + +
    const unsigned char onert_micro::test_model::neg_softmax_no_quant_params::test_kernel_model_circle[]
    +
    +Initial value:
    = {
    +
    0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
    +
    0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
    +
    0x2c, 0x00, 0x00, 0x00, 0x38, 0x01, 0x00, 0x00, 0x54, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
    +
    0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
    +
    0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
    +
    0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
    +
    0x64, 0x00, 0x00, 0x00, 0x68, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
    +
    0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x0e, 0x00, 0x16, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00,
    +
    0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00,
    +
    0x1c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x80, 0x3f, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x44, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
    +
    0xd0, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07,
    +
    0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
    +
    0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
    +
    0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
    +
    0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07, 0x0c, 0x00, 0x00, 0x00,
    +
    0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00,
    +
    0x0c, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x19, 0x11, 0x00, 0x00, 0x00,
    +
    0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c,
    +
    0x65, 0x00, 0x00, 0x00}
    +
    +

    Definition at line 78 of file NegSoftmaxKernel.h.

    +
    78 {
    +
    79 0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
    +
    80 0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
    +
    81 0x2c, 0x00, 0x00, 0x00, 0x38, 0x01, 0x00, 0x00, 0x54, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
    +
    82 0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
    +
    83 0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    84 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
    +
    85 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
    +
    86 0x64, 0x00, 0x00, 0x00, 0x68, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
    +
    87 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
    +
    88 0x00, 0x00, 0x0e, 0x00, 0x16, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00,
    +
    89 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00,
    +
    90 0x1c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
    +
    91 0x00, 0x00, 0x80, 0x3f, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    92 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    93 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x44, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
    +
    94 0xd0, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07,
    +
    95 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00,
    +
    96 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
    +
    97 0x0c, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
    +
    98 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07, 0x0c, 0x00, 0x00, 0x00,
    +
    99 0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    100 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    101 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00,
    +
    102 0x0c, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x19, 0x11, 0x00, 0x00, 0x00,
    +
    103 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c,
    +
    104 0x65, 0x00, 0x00, 0x00};
    +
    +

    Referenced by onert_micro::test_model::NegTestDataNoQuantParamsSoftmaxKernel::NegTestDataNoQuantParamsSoftmaxKernel().

    + +
    +
    +
    +
    + + + + diff --git a/namespaceonert__micro_1_1test__model_1_1softmax__float.html b/namespaceonert__micro_1_1test__model_1_1softmax__float.html new file mode 100644 index 00000000000..94f93596f15 --- /dev/null +++ b/namespaceonert__micro_1_1test__model_1_1softmax__float.html @@ -0,0 +1,240 @@ + + + + + + + +ONE - On-device Neural Engine: onert_micro::test_model::softmax_float Namespace Reference + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    + +
    onert_micro::test_model::softmax_float Namespace Reference
    +
    +
    + + + + + + + + +

    +Variables

    const unsigned char test_kernel_model_circle []
     
    const std::vector< float > input_data
     
    const std::vector< float > reference_output_data
     
    +

    Variable Documentation

    + +

    ◆ input_data

    + +
    +
    + + + + +
    const std::vector<float> onert_micro::test_model::softmax_float::input_data
    +
    +Initial value:
    = {4.5079355, 4.0126457, 4.491231, 4.8917847, 5.4335933,
    +
    0.3851775, 5.5928035, 1.9821982, 1.5670413, 3.9429772,
    +
    2.0674324, 5.3034077, 1.8939269, 1.2043927, 1.0215454,
    +
    0.9565499, 2.418452, 0.38287657}
    +
    +

    Definition at line 64 of file FloatSoftmaxKernel.h.

    +
    64 {4.5079355, 4.0126457, 4.491231, 4.8917847, 5.4335933,
    +
    65 0.3851775, 5.5928035, 1.9821982, 1.5670413, 3.9429772,
    +
    66 2.0674324, 5.3034077, 1.8939269, 1.2043927, 1.0215454,
    +
    67 0.9565499, 2.418452, 0.38287657};
    +
    +

    Referenced by onert_micro::test_model::TestDataFloatSoftmax::TestDataFloatSoftmax().

    + +
    +
    + +

    ◆ reference_output_data

    + +
    +
    + + + + +
    const std::vector<float> onert_micro::test_model::softmax_float::reference_output_data
    +
    +Initial value:
    = {
    +
    0.6213518, 0.3786482, 0.4011793, 0.5988207, 0.9936214, 0.0063785487,
    +
    0.9736762, 0.026323803, 0.0850262, 0.9149738, 0.03783413, 0.96216595,
    +
    0.6658633, 0.3341367, 0.51624316, 0.48375684, 0.8844819, 0.11551804}
    +
    +

    Definition at line 69 of file FloatSoftmaxKernel.h.

    +
    69 {
    +
    70 0.6213518, 0.3786482, 0.4011793, 0.5988207, 0.9936214, 0.0063785487,
    +
    71 0.9736762, 0.026323803, 0.0850262, 0.9149738, 0.03783413, 0.96216595,
    +
    72 0.6658633, 0.3341367, 0.51624316, 0.48375684, 0.8844819, 0.11551804};
    +
    +

    Referenced by onert_micro::test_model::TestDataFloatSoftmax::TestDataFloatSoftmax().

    + +
    +
    + +

    ◆ test_kernel_model_circle

    + +
    +
    + + + + +
    const unsigned char onert_micro::test_model::softmax_float::test_kernel_model_circle[]
    +
    +Initial value:
    = {
    +
    0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
    +
    0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
    +
    0x2c, 0x00, 0x00, 0x00, 0x30, 0x01, 0x00, 0x00, 0x4c, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
    +
    0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
    +
    0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
    +
    0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
    +
    0x64, 0x00, 0x00, 0x00, 0x68, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
    +
    0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x0e, 0x00, 0x16, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00,
    +
    0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00,
    +
    0x1c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x80, 0x3f, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
    +
    0xd4, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
    +
    0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x10, 0x00,
    +
    0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
    +
    0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00,
    +
    0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
    +
    0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00,
    +
    0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00,
    +
    0x00, 0x00, 0x00, 0x19, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69,
    +
    0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00}
    +
    +

    Definition at line 37 of file FloatSoftmaxKernel.h.

    +
    37 {
    +
    38 0x18, 0x00, 0x00, 0x00, 0x43, 0x49, 0x52, 0x30, 0x00, 0x00, 0x0e, 0x00, 0x14, 0x00, 0x00, 0x00,
    +
    39 0x0c, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
    +
    40 0x2c, 0x00, 0x00, 0x00, 0x30, 0x01, 0x00, 0x00, 0x4c, 0x01, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
    +
    41 0x18, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf8, 0xff, 0xff, 0xff,
    +
    42 0xfc, 0xff, 0xff, 0xff, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    43 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00,
    +
    44 0x08, 0x00, 0x04, 0x00, 0x0e, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
    +
    45 0x64, 0x00, 0x00, 0x00, 0x68, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
    +
    46 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00,
    +
    47 0x00, 0x00, 0x0e, 0x00, 0x16, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x07, 0x00, 0x08, 0x00,
    +
    48 0x0e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00,
    +
    49 0x1c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
    +
    50 0x00, 0x00, 0x80, 0x3f, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    51 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    52 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
    +
    53 0xd4, 0xff, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
    +
    54 0x03, 0x00, 0x00, 0x00, 0x6f, 0x66, 0x6d, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
    +
    55 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x10, 0x00,
    +
    56 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
    +
    57 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x69, 0x66, 0x6d, 0x00,
    +
    58 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
    +
    59 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x0c, 0x00,
    +
    60 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00,
    +
    61 0x00, 0x00, 0x00, 0x19, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d, 0x74, 0x66, 0x6c, 0x69,
    +
    62 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};
    +
    +

    Referenced by onert_micro::test_model::TestDataFloatSoftmax::TestDataFloatSoftmax().

    + +
    +
    +
    +
    + + + + diff --git a/namespaceonnx-dump.html b/namespaceonnx-dump.html index 497fd88e333..4f46f6a9819 100644 --- a/namespaceonnx-dump.html +++ b/namespaceonnx-dump.html @@ -524,7 +524,7 @@

    Definition at line 135 of file onnx-dump.py.

    -
    135def main():
    +
    135def main():
    136 if len(sys.argv) < 2:
    137 _help_exit(os.path.basename(sys.argv[0]))
    138
    @@ -534,7 +534,7 @@

    142 _dump_graph(onnx_model)

    143
    144
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58

    References _dump_graph(), _help_exit(), and main().

    diff --git a/namespaceonnx-ops.html b/namespaceonnx-ops.html index 9e32122bfab..d885e228068 100644 --- a/namespaceonnx-ops.html +++ b/namespaceonnx-ops.html @@ -193,7 +193,7 @@

    Definition at line 34 of file onnx-ops.py.

    -
    34def main():
    +
    34def main():
    35 if len(sys.argv) < 2:
    36 _help_exit(os.path.basename(sys.argv[0]))
    37
    @@ -203,7 +203,7 @@

    41 _dump_operators(onnx_model)

    42
    43
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58

    References _dump_operators(), _help_exit(), and main().

    diff --git a/namespaceopselector.html b/namespaceopselector.html index 3f24bd583f9..f0372b5bf8b 100644 --- a/namespaceopselector.html +++ b/namespaceopselector.html @@ -300,88 +300,88 @@

    -

    Definition at line 256 of file OpSelector.cpp.

    -
    267{
    -
    268 std::vector<uint32_t> by_id;
    -
    269
    -
    270 for (const auto &comma_token : comma_tokens)
    -
    271 {
    -
    272 auto dash_tokens = ::split_into_vector(comma_token, '-');
    -
    273 if (not ::is_number(dash_tokens))
    -
    274 {
    -
    275 throw std::runtime_error{
    -
    276 "ERROR: To select operator by id, please use these args: [0-9], '-', ','"};
    -
    277 }
    -
    278
    -
    279 // Convert string into integer
    -
    280 std::vector<uint32_t> int_tokens;
    -
    281 try
    -
    282 {
    -
    283 std::transform(dash_tokens.begin(), dash_tokens.end(), std::back_inserter(int_tokens),
    -
    284 [](const std::string &str) { return static_cast<uint32_t>(std::stoi(str)); });
    -
    285 }
    -
    286 catch (const std::out_of_range &)
    -
    287 {
    -
    288 // Uf input is big integer like '123467891234', stoi throws this exception.
    -
    289 throw std::runtime_error{"ERROR: Argument is out of range."};
    -
    290 }
    -
    291 catch (...)
    -
    292 {
    -
    293 throw std::runtime_error{"ERROR: Unknown error"};
    -
    294 }
    -
    295
    -
    296 switch (int_tokens.size())
    -
    297 {
    -
    298 case 0: // inputs like "-"
    -
    299 {
    -
    300 throw std::runtime_error{"ERROR: Nothing was entered"};
    -
    301 }
    -
    302 case 1: // inputs like "1", "2"
    -
    303 {
    -
    304 by_id.push_back(int_tokens.at(0));
    -
    305 break;
    -
    306 }
    -
    307 case 2: // inputs like "1-2", "11-50"
    -
    308 {
    -
    309 for (uint32_t i = int_tokens.at(0); i <= int_tokens.at(1); i++)
    -
    310 {
    -
    311 by_id.push_back(i);
    -
    312 }
    -
    313 break;
    -
    314 }
    -
    315 default: // inputs like "1-2-3"
    -
    316 {
    -
    317 throw std::runtime_error{"ERROR: Too many '-' in str."};
    -
    318 }
    -
    319 }
    -
    320 }
    -
    321
    -
    322 loco::Graph *graph = _module->graph(0);
    -
    323 std::vector<const luci::CircleNode *> selected_nodes;
    -
    324
    -
    325 for (auto node : loco::all_nodes(graph))
    -
    326 {
    -
    327 auto cnode = loco::must_cast<const luci::CircleNode *>(node);
    -
    328
    -
    329 try
    -
    330 {
    -
    331 auto node_id = luci::get_node_id(cnode);
    -
    332 for (auto selected_id : by_id)
    -
    333 {
    -
    334 if (selected_id == node_id)
    -
    335 {
    -
    336 selected_nodes.emplace_back(cnode);
    -
    337 }
    -
    338 }
    -
    339 }
    -
    340 catch (const std::runtime_error &)
    -
    341 {
    -
    342 continue;
    -
    343 }
    -
    344 }
    -
    345
    -
    346 return selected_nodes;
    -
    347}
    +

    Definition at line 265 of file OpSelector.cpp.

    +
    273{
    +
    274 std::vector<uint32_t> by_id;
    +
    275
    +
    276 for (const auto &comma_token : comma_tokens)
    +
    277 {
    +
    278 auto dash_tokens = ::split_into_vector(comma_token, '-');
    +
    279 if (not ::is_number(dash_tokens))
    +
    280 {
    +
    281 throw std::runtime_error{
    +
    282 "ERROR: To select operator by id, please use these args: [0-9], '-', ','"};
    +
    283 }
    +
    284
    +
    285 // Convert string into integer
    +
    286 std::vector<uint32_t> int_tokens;
    +
    287 try
    +
    288 {
    +
    289 std::transform(dash_tokens.begin(), dash_tokens.end(), std::back_inserter(int_tokens),
    +
    290 [](const std::string &str) { return static_cast<uint32_t>(std::stoi(str)); });
    +
    291 }
    +
    292 catch (const std::out_of_range &)
    +
    293 {
    +
    294 // Uf input is big integer like '123467891234', stoi throws this exception.
    +
    295 throw std::runtime_error{"ERROR: Argument is out of range."};
    +
    296 }
    +
    297 catch (...)
    +
    298 {
    +
    299 throw std::runtime_error{"ERROR: Unknown error"};
    +
    300 }
    +
    301
    +
    302 switch (int_tokens.size())
    +
    303 {
    +
    304 case 0: // inputs like "-"
    +
    305 {
    +
    306 throw std::runtime_error{"ERROR: Nothing was entered"};
    +
    307 }
    +
    308 case 1: // inputs like "1", "2"
    +
    309 {
    +
    310 by_id.push_back(int_tokens.at(0));
    +
    311 break;
    +
    312 }
    +
    313 case 2: // inputs like "1-2", "11-50"
    +
    314 {
    +
    315 for (uint32_t i = int_tokens.at(0); i <= int_tokens.at(1); i++)
    +
    316 {
    +
    317 by_id.push_back(i);
    +
    318 }
    +
    319 break;
    +
    320 }
    +
    321 default: // inputs like "1-2-3"
    +
    322 {
    +
    323 throw std::runtime_error{"ERROR: Too many '-' in str."};
    +
    324 }
    +
    325 }
    +
    326 }
    +
    327
    +
    328 loco::Graph *graph = _module->graph(0);
    +
    329 std::vector<const luci::CircleNode *> selected_nodes;
    +
    330
    +
    331 for (auto node : loco::all_nodes(graph))
    +
    332 {
    +
    333 auto cnode = loco::must_cast<const luci::CircleNode *>(node);
    +
    334
    +
    335 try
    +
    336 {
    +
    337 auto node_id = luci::get_node_id(cnode);
    +
    338 for (auto selected_id : by_id)
    +
    339 {
    +
    340 if (selected_id == node_id)
    +
    341 {
    +
    342 selected_nodes.emplace_back(cnode);
    +
    343 }
    +
    344 }
    +
    345 }
    +
    346 catch (const std::runtime_error &)
    +
    347 {
    +
    348 continue;
    +
    349 }
    +
    350 }
    +
    351
    +
    352 return selected_nodes;
    +
    353}
    A neural network graph.
    Definition Graph.h:161
    @@ -426,23 +426,23 @@

    -

    Definition at line 256 of file OpSelector.cpp.

    -
    352{
    -
    353 loco::Graph *graph = _module->graph(0);
    -
    354 std::vector<const luci::CircleNode *> selected_nodes;
    -
    355
    -
    356 for (auto node : loco::all_nodes(graph))
    -
    357 {
    -
    358 auto cnode = loco::must_cast<const luci::CircleNode *>(node);
    -
    359 std::string node_name = cnode->name();
    -
    360
    -
    361 for (const auto &selected_name : tokens)
    -
    362 if (selected_name.compare(node_name) == 0) // find the selected name
    -
    363 selected_nodes.emplace_back(cnode);
    -
    364 }
    -
    365
    -
    366 return selected_nodes;
    -
    367}
    +

    Definition at line 265 of file OpSelector.cpp.

    +
    358{
    +
    359 loco::Graph *graph = _module->graph(0);
    +
    360 std::vector<const luci::CircleNode *> selected_nodes;
    +
    361
    +
    362 for (auto node : loco::all_nodes(graph))
    +
    363 {
    +
    364 auto cnode = loco::must_cast<const luci::CircleNode *>(node);
    +
    365 std::string node_name = cnode->name();
    +
    366
    +
    367 for (const auto &selected_name : tokens)
    +
    368 if (selected_name.compare(node_name) == 0) // find the selected name
    +
    369 selected_nodes.emplace_back(cnode);
    +
    370 }
    +
    371
    +
    372 return selected_nodes;
    +
    373}

    diff --git a/namespaceplier_1_1tf.html b/namespaceplier_1_1tf.html index 40de94ceaaa..d1e2a3ceba9 100644 --- a/namespaceplier_1_1tf.html +++ b/namespaceplier_1_1tf.html @@ -239,7 +239,7 @@

    120 return vi;

    121}
    -

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::AvgPoolGraphBuilder::validate(), moco::MaxPoolGraphBuilder::validate(), and moco::DepthwiseConv2dNativeGraphBuilder::validate().

    +

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::AvgPoolGraphBuilder::validate(), moco::MaxPoolGraphBuilder::validate(), and moco::DepthwiseConv2dNativeGraphBuilder::validate().

    @@ -589,7 +589,7 @@

    References has_attr().

    -

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::AvgPoolGraphBuilder::validate(), moco::Conv2DGraphBuilder::validate(), moco::MaxPoolGraphBuilder::validate(), moco::Conv2DBackpropInputGraphBuilder::validate(), and moco::DepthwiseConv2dNativeGraphBuilder::validate().

    +

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::AvgPoolGraphBuilder::validate(), moco::Conv2DGraphBuilder::validate(), moco::MaxPoolGraphBuilder::validate(), moco::Conv2DBackpropInputGraphBuilder::validate(), and moco::DepthwiseConv2dNativeGraphBuilder::validate().

    @@ -669,7 +669,7 @@

    References has_attr().

    -

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), get_data_layout(), moco::BiasAddGraphBuilder::validate(), moco::Conv2DGraphBuilder::validate(), moco::MaxPoolGraphBuilder::validate(), moco::Conv2DBackpropInputGraphBuilder::validate(), and moco::DepthwiseConv2dNativeGraphBuilder::validate().

    +

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), get_data_layout(), moco::BiasAddGraphBuilder::validate(), moco::Conv2DGraphBuilder::validate(), moco::MaxPoolGraphBuilder::validate(), moco::Conv2DBackpropInputGraphBuilder::validate(), and moco::DepthwiseConv2dNativeGraphBuilder::validate().

    @@ -744,7 +744,7 @@

    32 return node.attr().count(attr_name) > 0;
    33}
    -

    Referenced by moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), get_bool_attr(), get_datatype_attr(), get_float_attr(), get_int_attr(), get_list_attr(), get_shape_attr(), get_string_attr(), get_tensor_attr(), has_attrs(), moco::Conv2DGraphBuilder::validate(), and moco::Conv2DBackpropInputGraphBuilder::validate().

    +

    Referenced by moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), get_bool_attr(), get_datatype_attr(), get_float_attr(), get_int_attr(), get_list_attr(), get_shape_attr(), get_string_attr(), get_tensor_attr(), has_attrs(), moco::Conv2DGraphBuilder::validate(), and moco::Conv2DBackpropInputGraphBuilder::validate().

    @@ -784,7 +784,7 @@

    References has_attr().

    -

    Referenced by moco::ShapeGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::AvgPoolGraphBuilder::validate(), moco::BiasAddGraphBuilder::validate(), moco::ConcatV2GraphBuilder::validate(), moco::ConstGraphBuilder::validate(), moco::Conv2DGraphBuilder::validate(), moco::MaxPoolGraphBuilder::validate(), moco::PackGraphBuilder::validate(), moco::StridedSliceGraphBuilder::validate(), moco::Conv2DBackpropInputGraphBuilder::validate(), moco::DepthwiseConv2dNativeGraphBuilder::validate(), moco::FusedBatchNormGraphBuilder::validate(), moco::MeanGraphBuilder::validate(), moco::PadGraphBuilder::validate(), moco::PlaceholderGraphBuilder::validate(), moco::ReshapeGraphBuilder::validate(), moco::ShapeGraphBuilder::validate(), moco::SoftmaxGraphBuilder::validate(), moco::SqueezeGraphBuilder::validate(), and moco::StopGradientGraphBuilder::validate().

    +

    Referenced by moco::ShapeGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::AvgPoolGraphBuilder::validate(), moco::BiasAddGraphBuilder::validate(), moco::ConcatV2GraphBuilder::validate(), moco::ConstGraphBuilder::validate(), moco::Conv2DGraphBuilder::validate(), moco::MaxPoolGraphBuilder::validate(), moco::PackGraphBuilder::validate(), moco::StridedSliceGraphBuilder::validate(), moco::Conv2DBackpropInputGraphBuilder::validate(), moco::DepthwiseConv2dNativeGraphBuilder::validate(), moco::FusedBatchNormGraphBuilder::validate(), moco::MeanGraphBuilder::validate(), moco::PadGraphBuilder::validate(), moco::PlaceholderGraphBuilder::validate(), moco::ReshapeGraphBuilder::validate(), moco::ShapeGraphBuilder::validate(), moco::SoftmaxGraphBuilder::validate(), moco::SqueezeGraphBuilder::validate(), and moco::StopGradientGraphBuilder::validate().

    diff --git a/namespaces.html b/namespaces.html index 90c3aa1f89a..d150e9ff8f9 100644 --- a/namespaces.html +++ b/namespaces.html @@ -3697,81 +3697,88 @@  Nneg_no_quant_params_sub_kernel  Nneg_output_wrong_type_shape_kernel  Nneg_reshape_kernel - Npack_float - Npack_int - Npack_quant_u8 - Nreshape_kernel - Ns8_fully_connected - Nshape_kernel - Nstrided_slice_kernel - Nsub_float_no_broadcasting - Nsub_float_with_broadcasting - Nsub_int_no_broadcasting - Nsub_int_with_broadcasting - Nunsupported_type - CNegTestDataBase - CNegTestDataInput1WrongTypeMul - CNegTestDataInput2WrongTypeMul - CNegTestDataInputMismatchAddKernel - CNegTestDataInputMismatchConv2DKernel - CNegTestDataInputOutputShapeMismatchAbsKernel - CNegTestDataInputOutputTypeMismatchAbsKernel - CNegTestDataInputOutputTypeMismatchGatherKernel - CNegTestDataInputOutputTypeMismatchLogisticKernel - CNegTestDataInputOutputTypeMismatchMaxPool2DKernel - CNegTestDataInputOutputTypeMismatchSubKernel - CNegTestDataInputsTypeMismatchSubKernel - CNegTestDataInt16TypeMul - CNegTestDataInvalidInputShapeConv2DKernel - CNegTestDataInvalidInputShapeMaxPool2DKernel - CNegTestDataNoQuantParamsLogisticKernel - CNegTestDataNoQuantParamsMaxPool2DKernel - CNegTestDataNoQuantParamsS16AddKernel - CNegTestDataNoQuantParamsSubKernel - CNegTestDataWrongAxisGatherKernel - CNegTestDataWrongBiasShapeFullyConnectedKernel - CNegTestDataWrongOutputTypeShapeKernel - CNegTestDataWrongPositionTypeGatherKernel - CNegTestDataWrongWeightShapeFullyConnectedKernel - CTestData32IntAdd - CTestData64IntAdd - CTestDataAbsBase - CTestDataAddBase - CTestDataBase - CTestDataConcatenationBase - CTestDataConv2DBase - CTestDataFloatAbs - CTestDataFloatAdd - CTestDataFloatConcatenation - CTestDataFloatConv2D - CTestDataFloatFullyConnected - CTestDataFloatGather - CTestDataFloatLogistic - CTestDataFloatMaxPool2D - CTestDataFloatMul - CTestDataFloatPack - CTestDataFloatSub - CTestDataFullyConnectedBase - CTestDataGatherBase - CTestDataInputTypeMismatchConcatenation - CTestDataIntGather - CTestDataIntMul - CTestDataIntPack - CTestDataIntSub - CTestDataLogisticBase - CTestDataMaxPool2DBase - CTestDataMulBase - CTestDataPackBase - CTestDataQuantU8Pack - CTestDataReluConcatenation - CTestDataReshapeKernel - CTestDataS32Concatenation - CTestDataS64Concatenation - CTestDataS8FullyConnected - CTestDataShapeKernel - CTestDataStridedSliceKernel - CTestDataSubBase - CTestDataWrongAxisConcatenation + Nneg_softmax_input_output_type_mismatch + Nneg_softmax_no_quant_params + Npack_float + Npack_int + Npack_quant_u8 + Nreshape_kernel + Ns8_fully_connected + Nshape_kernel + Nsoftmax_float + Nstrided_slice_kernel + Nsub_float_no_broadcasting + Nsub_float_with_broadcasting + Nsub_int_no_broadcasting + Nsub_int_with_broadcasting + Nunsupported_type + CNegTestDataBase + CNegTestDataInput1WrongTypeMul + CNegTestDataInput2WrongTypeMul + CNegTestDataInputMismatchAddKernel + CNegTestDataInputMismatchConv2DKernel + CNegTestDataInputOutputShapeMismatchAbsKernel + CNegTestDataInputOutputTypeMismatchAbsKernel + CNegTestDataInputOutputTypeMismatchGatherKernel + CNegTestDataInputOutputTypeMismatchLogisticKernel + CNegTestDataInputOutputTypeMismatchMaxPool2DKernel + CNegTestDataInputOutputTypeMismatchSoftmaxKernel + CNegTestDataInputOutputTypeMismatchSubKernel + CNegTestDataInputsTypeMismatchSubKernel + CNegTestDataInt16TypeMul + CNegTestDataInvalidInputShapeConv2DKernel + CNegTestDataInvalidInputShapeMaxPool2DKernel + CNegTestDataNoQuantParamsLogisticKernel + CNegTestDataNoQuantParamsMaxPool2DKernel + CNegTestDataNoQuantParamsS16AddKernel + CNegTestDataNoQuantParamsSoftmaxKernel + CNegTestDataNoQuantParamsSubKernel + CNegTestDataWrongAxisGatherKernel + CNegTestDataWrongBiasShapeFullyConnectedKernel + CNegTestDataWrongOutputTypeShapeKernel + CNegTestDataWrongPositionTypeGatherKernel + CNegTestDataWrongWeightShapeFullyConnectedKernel + CTestData32IntAdd + CTestData64IntAdd + CTestDataAbsBase + CTestDataAddBase + CTestDataBase + CTestDataConcatenationBase + CTestDataConv2DBase + CTestDataFloatAbs + CTestDataFloatAdd + CTestDataFloatConcatenation + CTestDataFloatConv2D + CTestDataFloatFullyConnected + CTestDataFloatGather + CTestDataFloatLogistic + CTestDataFloatMaxPool2D + CTestDataFloatMul + CTestDataFloatPack + CTestDataFloatSoftmax + CTestDataFloatSub + CTestDataFullyConnectedBase + CTestDataGatherBase + CTestDataInputTypeMismatchConcatenation + CTestDataIntGather + CTestDataIntMul + CTestDataIntPack + CTestDataIntSub + CTestDataLogisticBase + CTestDataMaxPool2DBase + CTestDataMulBase + CTestDataPackBase + CTestDataQuantU8Pack + CTestDataReluConcatenation + CTestDataReshapeKernel + CTestDataS32Concatenation + CTestDataS64Concatenation + CTestDataS8FullyConnected + CTestDataShapeKernel + CTestDataSoftmaxBase + CTestDataStridedSliceKernel + CTestDataSubBase + CTestDataWrongAxisConcatenation  COMConfig  COMInterpreter  Nonert_test diff --git a/namespaces_dup.js b/namespaces_dup.js index a8d03812ecc..0d1b92d5907 100644 --- a/namespaces_dup.js +++ b/namespaces_dup.js @@ -83,7 +83,11 @@ var namespaces_dup = [ "compat", "namespacecompat.html", null ], [ "Concatenation_000", "namespace_concatenation__000.html", "namespace_concatenation__000" ], [ "conftest", "namespaceconftest.html", [ + [ "copy_circle_model", "namespaceconftest.html#a75d62488b4b7d872c21a4b73a41e0a4a", null ], + [ "copy_if_changed", "namespaceconftest.html#a0e47fc8f1e3bdd68017a9ad7cb295761", null ], + [ "copy_ref_files", "namespaceconftest.html#a9efc4c6a0c69ad25f607736492181581", null ], [ "extract_test_args", "namespaceconftest.html#af477898ec1680a5189af3ab5eca4fdcb", null ], + [ "prepare_materials", "namespaceconftest.html#a7e2da5bd192340344f3a033e4adc7aa8", null ], [ "pytest_addoption", "namespaceconftest.html#a61c7cced37dffae2b2c6edf883c44c12", null ], [ "pytest_generate_tests", "namespaceconftest.html#a4c9f38a95a92b4f580fb13c0e6b58373", null ] ] ], @@ -612,11 +616,15 @@ var namespaces_dup = [ "test_circle_part_value", "namespacetest__circle__part__value.html#afd7b9cb962f4a7110c210e3b56c5bece", null ] ] ], [ "test_luci_eval", "namespacetest__luci__eval.html", [ - [ "luci_eval_verify", "namespacetest__luci__eval.html#a07385bfad9fcb7dfe8ffa866ca107435", null ], + [ "luci_eval_verify", "namespacetest__luci__eval.html#a031d8185f1be6e03a3fbda989a7b9070", null ], [ "luci_eval_verify", "namespacetest__luci__eval.html#ac7f24712340d3488b638d8267c5f6328", null ], - [ "test_luci_eval", "namespacetest__luci__eval.html#a70c3a5a475ab62279ba635beb8e86e5f", null ], + [ "recover_fromfile", "namespacetest__luci__eval.html#a033016b5ca8d85015c56f67706e07fe8", null ], + [ "recover_inputs", "namespacetest__luci__eval.html#a869bc35a187205c11afbee3023ed1373", null ], + [ "recover_outputs", "namespacetest__luci__eval.html#ab58859b5bab4a4e3b95e52e0d030e07a", null ], + [ "save_binary_inputs", "namespacetest__luci__eval.html#a640d96b5d00ab853c185725ffe4a140b", null ], + [ "test_luci_eval", "namespacetest__luci__eval.html#a9a927666210565341f0024ca281c765e", null ], [ "test_luci_eval", "namespacetest__luci__eval.html#a8535a6ca849d5bb86624649fc1abcebb", null ], - [ "test_luci_eval_tol", "namespacetest__luci__eval.html#a12d14b923ce3004377e1bca201528303", null ] + [ "test_luci_eval_tol", "namespacetest__luci__eval.html#a6ccfad5e1f12f70feb5c2e391921a5da", null ] ] ], [ "test_luci_eval_ref", "namespacetest__luci__eval__ref.html", [ [ "dtype_from_file", "namespacetest__luci__eval__ref.html#adbeee6f85a441cd94f9c77e473d89fa8", null ], diff --git a/namespacetest__luci__eval.html b/namespacetest__luci__eval.html index f11dad1c431..bc021508ad2 100644 --- a/namespacetest__luci__eval.html +++ b/namespacetest__luci__eval.html @@ -101,16 +101,24 @@    test_luci_eval (str test_name, str tflite_dir, str circle_dir, str eval_driver_path)   - luci_eval_verify (test_name, artifacts, eval_driver, rtolf32=1e-5, atolf32=1e-5) -  - test_luci_eval (str default_test_name, str artifacts_path, str eval_driver_path) -  - test_luci_eval_tol (str tol_test_name, str artifacts_path, str eval_driver_path, str rtolf32, str atolf32) -  + recover_fromfile (path, test_name, suffix) +  + recover_inputs (path, test_name) +  + recover_outputs (path, test_name) +  + save_binary_inputs (path, test_name, num_inputs, input_shape, input_dtype, input_data) +  + luci_eval_verify (test_name, binary_path, eval_driver, rtolf32=1e-5, atolf32=1e-5) +  + test_luci_eval (str default_test_name, str binary_path, str eval_driver_path) +  + test_luci_eval_tol (str tol_test_name, str binary_path, str eval_driver_path, str rtolf32, str atolf32) + 

    Function Documentation

    - -

    ◆ luci_eval_verify() [1/2]

    + +

    ◆ luci_eval_verify() [1/2]

    @@ -125,7 +133,7 @@

      - artifacts, + binary_path, @@ -153,138 +161,54 @@

    -

    Definition at line 7 of file test_luci_eval.py.

    -
    7def luci_eval_verify(test_name, artifacts, eval_driver, rtolf32=1e-5, atolf32=1e-5):
    -
    8 tflite_model = os.path.join(artifacts, test_name + ".tflite")
    -
    9 circle_model = os.path.join(artifacts, test_name + ".circle")
    -
    10
    -
    11 # NOTE reuse f32 value as int value too
    -
    12 rtolint = int(rtolf32)
    -
    13 atolint = int(atolf32)
    -
    14
    -
    15 # Build TFLite interpreter.
    -
    16 interpreter = tf.lite.Interpreter(tflite_model)
    -
    17 interpreter.allocate_tensors()
    -
    18
    -
    19 # Read SignatureDef and get output tensor id orders for remapping
    -
    20 full_signatures = interpreter._get_full_signature_list()
    -
    21 full_signatures_outputs_remap = None
    -
    22 if full_signatures != None:
    -
    23 signature_serving_default = full_signatures.get('serving_default', None)
    -
    24 if signature_serving_default != None:
    -
    25 signature_outputs = signature_serving_default['outputs']
    -
    26
    -
    27 full_signatures_outputs_remap = []
    -
    28 for index, (key, value) in enumerate(signature_outputs.items()):
    -
    29 full_signatures_outputs_remap.append(value)
    -
    30
    -
    31 # Generate random input data.
    -
    32 num_inputs = len(interpreter.get_input_details())
    -
    33 for i in range(num_inputs):
    -
    34 input_details = interpreter.get_input_details()[i]
    -
    35 if input_details["dtype"] == np.float32:
    -
    36 input_data = np.array(
    -
    37 np.random.random_sample(input_details["shape"]), input_details["dtype"])
    -
    38 input_dtype = "float32"
    -
    39 elif input_details["dtype"] == np.uint8:
    -
    40 input_data = np.array(
    -
    41 np.random.randint(0, 256, size=input_details["shape"]),
    -
    42 input_details["dtype"])
    -
    43 input_dtype = "uint8"
    -
    44 elif input_details["dtype"] == np.int16:
    -
    45 input_data = np.array(
    -
    46 np.random.randint(0, 100, size=input_details["shape"]),
    -
    47 input_details["dtype"])
    -
    48 input_dtype = "int16"
    -
    49 elif input_details["dtype"] == np.int32:
    -
    50 input_data = np.array(
    -
    51 np.random.randint(0, 100, size=input_details["shape"]),
    -
    52 input_details["dtype"])
    -
    53 input_dtype = "int32"
    -
    54 elif input_details["dtype"] == np.int64:
    -
    55 input_data = np.array(
    -
    56 np.random.randint(0, 100, size=input_details["shape"]),
    -
    57 input_details["dtype"])
    -
    58 input_dtype = "int64"
    -
    59 elif input_details["dtype"] == np.bool_:
    -
    60 input_data = np.array(
    -
    61 np.random.choice(a=[True, False], size=input_details["shape"]),
    -
    62 input_details["dtype"])
    -
    63 input_dtype = "bool"
    -
    64 else:
    -
    65 assert False, "Unsupported input dtype"
    -
    66
    -
    67 interpreter.set_tensor(input_details["index"], input_data)
    -
    68 input_data.tofile(circle_model + ".input" + str(i))
    -
    69 input_details["shape"].tofile(
    -
    70 circle_model + ".input" + str(i) + ".shape", sep=',')
    -
    71 with open(circle_model + ".input" + str(i) + ".dtype", 'w') as dtype_file:
    -
    72 dtype_file.write(input_dtype)
    -
    73
    -
    74 # Do inference
    -
    75 interpreter.invoke()
    -
    76
    -
    77 # Execute luci interpreter.
    -
    78 subprocess.run(
    -
    79 [
    -
    80 eval_driver, circle_model,
    -
    81 str(num_inputs), circle_model + ".input", circle_model + ".output"
    -
    82 ],
    -
    83 check=True)
    -
    84
    -
    85 # Compare the results.
    -
    86 inpt_output_details = interpreter.get_output_details()
    -
    87 for idx in range(len(inpt_output_details)):
    -
    88 output_details = inpt_output_details[idx]
    -
    89 output_data = np.fromfile(circle_model + ".output" + str(idx),
    -
    90 output_details["dtype"])
    -
    91 shape_file = open(circle_model + ".output" + str(idx) + ".shape", 'r')
    -
    92 output_shape = [int(i) for i in shape_file.read().split(',')]
    -
    93 luci_output_data = np.reshape(output_data, output_shape)
    -
    94 output_tensor = output_details["index"]
    -
    95 if full_signatures_outputs_remap != None:
    -
    96 output_tensor = full_signatures_outputs_remap[idx]
    -
    97 intp_output_data = interpreter.get_tensor(output_tensor)
    -
    98 if output_details["dtype"] == np.uint8:
    -
    99 assert np.allclose(
    -
    100 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    101 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    102 output_dtype = "uint8"
    -
    103 elif output_details["dtype"] == np.float32:
    -
    104 assert np.allclose(
    -
    105 luci_output_data, intp_output_data, rtol=rtolf32, atol=atolf32
    -
    106 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    107 output_dtype = "float32"
    -
    108 elif output_details["dtype"] == np.int64:
    -
    109 assert np.allclose(
    -
    110 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    111 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    112 output_dtype = "int64"
    -
    113 elif output_details["dtype"] == np.int32:
    -
    114 assert np.allclose(
    -
    115 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    116 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    117 output_dtype = "int32"
    -
    118 elif output_details["dtype"] == np.int16:
    -
    119 assert np.allclose(
    -
    120 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    121 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    122 output_dtype = "int16"
    -
    123 elif output_details["dtype"] == np.bool_:
    -
    124 assert np.allclose(
    -
    125 luci_output_data, intp_output_data, rtol=0, atol=0
    -
    126 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    127 output_dtype = "bool"
    -
    128 else:
    -
    129 assert False, "Unsupported data type: " + output_details["dtype"]
    -
    130
    -
    131 # save outputN.dtype file
    -
    132 with open(circle_model + ".output" + str(idx) + ".dtype", 'w') as dtype_file:
    -
    133 dtype_file.write(output_dtype)
    -
    134
    -
    135
    -
    136# arguments must be in sync with `conftest.py`
    +

    Definition at line 78 of file test_luci_eval.py.

    +
    78def luci_eval_verify(test_name, binary_path, eval_driver, rtolf32=1e-5, atolf32=1e-5):
    +
    79 circle_model = os.path.join(binary_path, test_name + ".circle")
    +
    80
    +
    81 num_inputs, input_shape, input_dtype, input_data = recover_inputs(
    +
    82 binary_path, test_name)
    +
    83 assert num_inputs > 0, "No valid reference input file"
    +
    84 save_binary_inputs(binary_path, test_name, num_inputs, input_shape, input_dtype,
    +
    85 input_data)
    +
    86
    +
    87 num_ouputs, output_shape, output_dtype, output_data = recover_outputs(
    +
    88 binary_path, test_name)
    +
    89 assert num_ouputs > 0, "No valid reference output file"
    +
    90
    +
    91 # Execute luci interpreter.
    +
    92 subprocess.run(
    +
    93 [
    +
    94 eval_driver, circle_model,
    +
    95 str(num_inputs), circle_model + ".input", circle_model + ".output"
    +
    96 ],
    +
    97 check=True)
    +
    98
    +
    99 # Compare the results.
    +
    100 for idx in range(num_ouputs):
    +
    101 luci_output_data = np.fromfile(circle_model + ".output" + str(idx),
    +
    102 output_dtype[idx])
    +
    103 luci_output_data = np.reshape(luci_output_data, output_shape[idx])
    +
    104 ref_output_data = np.reshape(output_data[idx], output_shape[idx])
    +
    105
    +
    106 show_vals_and_stop = False
    +
    107 if output_dtype[idx] == "float32":
    +
    108 if not np.allclose(
    +
    109 luci_output_data, ref_output_data, rtol=rtolf32, atol=atolf32):
    +
    110 show_vals_and_stop = True
    +
    111 else:
    +
    112 assert False, "Unsupported data type: " + output_dtype[idx]
    +
    113
    +
    114 if show_vals_and_stop:
    +
    115 print("\nreference:\n", ref_output_data)
    +
    116 print("luci:\n", luci_output_data)
    +
    117 message = "Execution result of " + test_name + " does not match with reference"
    +
    118 assert False, message
    +
    119
    +
    120
    +
    121# arguments must be in sync with `conftest.py`
    +

    References recover_inputs(), recover_outputs(), and save_binary_inputs().

    +

    @@ -419,42 +343,269 @@

    90 if full_signatures_outputs_remap != None:

    91 output_tensor = full_signatures_outputs_remap[idx]
    92 intp_output_data = interpreter.get_tensor(output_tensor)
    -
    93 if output_details["dtype"] == np.uint8:
    -
    94 assert np.allclose(
    -
    95 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    96 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    +
    93 err_msg = "Execution result of " + tflite_model + " does not match with " + circle_model
    +
    94 if output_details["dtype"] == np.uint8:
    +
    95 assert np.allclose(
    +
    96 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint), err_msg
    97 elif output_details["dtype"] == np.float32:
    98 assert np.allclose(
    -
    99 luci_output_data, intp_output_data, rtol=rtolf32, atol=atolf32
    -
    100 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    101 elif output_details["dtype"] == np.int64:
    -
    102 assert np.allclose(
    -
    103 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    104 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    105 elif output_details["dtype"] == np.int32:
    -
    106 assert np.allclose(
    -
    107 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    108 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    109 elif output_details["dtype"] == np.int16:
    +
    99 luci_output_data, intp_output_data, rtol=rtolf32, atol=atolf32), err_msg
    +
    100 elif output_details["dtype"] == np.int64:
    +
    101 assert np.allclose(
    +
    102 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint), err_msg
    +
    103 elif output_details["dtype"] == np.int32:
    +
    104 assert np.allclose(
    +
    105 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint), err_msg
    +
    106 elif output_details["dtype"] == np.int16:
    +
    107 assert np.allclose(
    +
    108 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint), err_msg
    +
    109 elif output_details["dtype"] == np.bool_:
    110 assert np.allclose(
    -
    111 luci_output_data, intp_output_data, rtol=rtolint, atol=atolint
    -
    112 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    113 elif output_details["dtype"] == np.bool_:
    -
    114 assert np.allclose(
    -
    115 luci_output_data, intp_output_data, rtol=0, atol=0
    -
    116 ), "Execution result of " + tflite_model + " does not match with " + circle_model
    -
    117 else:
    -
    118 assert False, "Unsupported data type: " + output_details["dtype"]
    -
    119
    -
    120
    -
    121# arguments must be in sync with `conftest.py`
    +
    111 luci_output_data, intp_output_data, rtol=0, atol=0), err_msg
    +
    112 else:
    +
    113 assert False, "Unsupported data type: " + output_details["dtype"]
    +
    114
    +
    115
    +
    116# arguments must be in sync with `conftest.py`
    + +

    Referenced by test_luci_eval(), test_luci_eval(), and test_luci_eval_tol().

    + + + + +

    ◆ recover_fromfile()

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + +
    test_luci_eval.recover_fromfile ( path,
     test_name,
     suffix 
    )
    +
    + +

    Definition at line 8 of file test_luci_eval.py.

    +
    8def recover_fromfile(path, test_name, suffix):
    +
    9 # .ref file format
    +
    10 # 1'st line is shape, i.e. "2,4"
    +
    11 # 2'nd line is dtype, i.e. "float32"
    +
    12 # 3'rd line is comma seperated values
    +
    13 ref_filename = test_name + ".ref." + suffix
    +
    14 ref_datapath = os.path.join(path, ref_filename)
    +
    15
    +
    16 num_data = 0
    +
    17 parse_shape = []
    +
    18 parse_dtype = []
    +
    19 parse_value = []
    +
    20
    +
    21 while True:
    +
    22 refnum_filepath = ref_datapath + str(num_data)
    +
    23 if (not os.path.isfile(refnum_filepath)):
    +
    24 break
    +
    25 with open(refnum_filepath, "r") as ref_file:
    +
    26 lines = ref_file.readlines()
    +
    27 assert len(lines) >= 3, "Invalid file: " + ref_filename + str(num_data)
    +
    28 print("load reference data from", test_name)
    +
    29 shape = [int(i) for i in lines[0].split(",")]
    +
    30 dtype = lines[1].strip("\r\n \t")
    +
    31 if dtype == "float32":
    +
    32 value = [float(i) for i in lines[2].split(",")]
    +
    33 else:
    +
    34 assert False, "Unsupported data type: " + dtype
    +
    35
    +
    36 # validate shape and number of elements
    +
    37 num_elements = 1
    +
    38 for dim in shape:
    +
    39 num_elements = num_elements * dim
    +
    40 if num_elements != len(value):
    +
    41 assert False, "Number of value elements do not match with shape"
    +
    42
    +
    43 parse_shape.append(shape)
    +
    44 parse_dtype.append(dtype)
    +
    45 parse_value.append(value)
    +
    46
    +
    47 num_data = num_data + 1
    +
    48
    +
    49 return num_data, parse_shape, parse_dtype, parse_value
    +
    50
    +
    51
    +
    +

    Referenced by recover_inputs(), and recover_outputs().

    + +
    +
    + +

    ◆ recover_inputs()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    test_luci_eval.recover_inputs ( path,
     test_name 
    )
    +
    + +

    Definition at line 52 of file test_luci_eval.py.

    +
    52def recover_inputs(path, test_name):
    +
    53 return recover_fromfile(path, test_name, "input")
    +
    54
    +
    55
    +
    +

    References recover_fromfile().

    + +

    Referenced by luci_eval_verify().

    + +
    +
    + +

    ◆ recover_outputs()

    + +
    +
    + + + + + + + + + + + + + + + + + + +
    test_luci_eval.recover_outputs ( path,
     test_name 
    )
    +
    + +

    Definition at line 56 of file test_luci_eval.py.

    +
    56def recover_outputs(path, test_name):
    +
    57 return recover_fromfile(path, test_name, "output")
    +
    58
    +
    59
    +
    60# save reference data to input files for luci-eval-driver
    +
    +

    References recover_fromfile().

    + +

    Referenced by luci_eval_verify().

    + +
    +
    + +

    ◆ save_binary_inputs()

    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    test_luci_eval.save_binary_inputs ( path,
     test_name,
     num_inputs,
     input_shape,
     input_dtype,
     input_data 
    )
    +
    + +

    Definition at line 61 of file test_luci_eval.py.

    +
    61def save_binary_inputs(path, test_name, num_inputs, input_shape, input_dtype, input_data):
    +
    62 circle_inputpath = os.path.join(path, test_name + ".circle.input")
    +
    63 for index in range(0, num_inputs):
    +
    64 # reference input value
    +
    65 if input_dtype[index] == "float32":
    +
    66 nps = np.asarray(input_data[index], dtype=np.float32)
    +
    67 nps.tofile(circle_inputpath + str(index))
    +
    68 else:
    +
    69 assert False, "Unsupported data type: " + input_dtype[index]
    +
    70 # reference input shape
    +
    71 nps = np.asarray(input_shape[index], dtype=np.short)
    +
    72 nps.tofile(circle_inputpath + str(index) + ".shape", sep=",")
    +
    73 # reference input dtype
    +
    74 with open(circle_inputpath + str(index) + ".dtype", "w") as dtype_file:
    +
    75 dtype_file.write(input_dtype[index])
    +
    76
    +
    77
    -

    Referenced by test_luci_eval(), test_luci_eval(), and test_luci_eval_tol().

    +

    Referenced by luci_eval_verify().

    - -

    ◆ test_luci_eval() [1/2]

    + +

    ◆ test_luci_eval() [1/2]

    @@ -469,7 +620,7 @@

    str  - artifacts_path, + binary_path, @@ -485,12 +636,12 @@

    -

    Definition at line 137 of file test_luci_eval.py.

    -
    137def test_luci_eval(default_test_name: str, artifacts_path: str, eval_driver_path: str):
    -
    138 luci_eval_verify(default_test_name, artifacts_path, eval_driver_path)
    -
    139
    -
    140
    -
    141# arguments must be in sync with `conftest.py`
    +

    Definition at line 122 of file test_luci_eval.py.

    +
    122def test_luci_eval(default_test_name: str, binary_path: str, eval_driver_path: str):
    +
    123 luci_eval_verify(default_test_name, binary_path, eval_driver_path)
    +
    124
    +
    125
    +
    126# arguments must be in sync with `conftest.py`

    References luci_eval_verify().

    @@ -535,16 +686,16 @@

    -

    Definition at line 122 of file test_luci_eval.py.

    -
    123 eval_driver_path: str):
    -
    124 luci_eval_verify(test_name, tflite_dir, circle_dir, eval_driver_path)
    +

    Definition at line 117 of file test_luci_eval.py.

    +
    118 eval_driver_path: str):
    +
    119 luci_eval_verify(test_name, tflite_dir, circle_dir, eval_driver_path)

    References luci_eval_verify().

    - -

    ◆ test_luci_eval_tol()

    + +

    ◆ test_luci_eval_tol()

    @@ -559,7 +710,7 @@

    str  - artifacts_path, + binary_path, @@ -587,10 +738,10 @@

    -

    Definition at line 142 of file test_luci_eval.py.

    -
    143 rtolf32: str, atolf32: str):
    -
    144 luci_eval_verify(tol_test_name, artifacts_path, eval_driver_path, float(rtolf32),
    -
    145 float(atolf32))
    +

    Definition at line 127 of file test_luci_eval.py.

    +
    128 rtolf32: str, atolf32: str):
    +
    129 luci_eval_verify(tol_test_name, binary_path, eval_driver_path, float(rtolf32),
    +
    130 float(atolf32))

    References luci_eval_verify().

    diff --git a/namespacetest__luci__eval__ref.html b/namespacetest__luci__eval__ref.html index 4d75bf84c80..846bd877f79 100644 --- a/namespacetest__luci__eval__ref.html +++ b/namespacetest__luci__eval__ref.html @@ -249,30 +249,30 @@

    94 output_data = np.fromfile(circle_model + ".output" + str(idx), output_dtype)

    95 luci_output_data = np.reshape(output_data, output_shape)
    96
    -
    97 if output_dtype == np.uint8:
    -
    98 assert np.allclose(
    -
    99 luci_output_data, luci_output_data_ref, rtol=rtolint, atol=atolint
    -
    100 ), "Execution result of " + circle_model_ref + " does not match with " + circle_model
    -
    101 elif output_dtype == np.float32:
    -
    102 assert np.allclose(
    -
    103 luci_output_data, luci_output_data_ref, rtol=rtolf32, atol=atolf32
    -
    104 ), "Execution result of " + circle_model_ref + " does not match with " + circle_model
    -
    105 elif output_dtype == np.int64:
    -
    106 assert np.allclose(
    -
    107 luci_output_data, luci_output_data_ref, rtol=rtolint, atol=atolint
    -
    108 ), "Execution result of " + circle_model_ref + " does not match with " + circle_model
    -
    109 elif output_dtype == np.int32:
    -
    110 assert np.allclose(
    -
    111 luci_output_data, luci_output_data_ref, rtol=rtolint, atol=atolint
    -
    112 ), "Execution result of " + circle_model_ref + " does not match with " + circle_model
    -
    113 elif output_dtype == np.int16:
    -
    114 assert np.allclose(
    -
    115 luci_output_data, luci_output_data_ref, rtol=rtolint, atol=atolint
    -
    116 ), "Execution result of " + circle_model_ref + " does not match with " + circle_model
    -
    117 elif output_dtype == np.bool_:
    -
    118 assert np.allclose(
    -
    119 luci_output_data, luci_output_data_ref, rtol=0, atol=0
    -
    120 ), "Execution result of " + circle_model_ref + " does not match with " + circle_model
    +
    97 err_msg = "Execution result of " + circle_model_ref + " does not match with " + circle_model
    +
    98 if output_dtype == np.uint8:
    +
    99 assert np.allclose(
    +
    100 luci_output_data, luci_output_data_ref, rtol=rtolint,
    +
    101 atol=atolint), err_msg
    +
    102 elif output_dtype == np.float32:
    +
    103 assert np.allclose(
    +
    104 luci_output_data, luci_output_data_ref, rtol=rtolf32,
    +
    105 atol=atolf32), err_msg
    +
    106 elif output_dtype == np.int64:
    +
    107 assert np.allclose(
    +
    108 luci_output_data, luci_output_data_ref, rtol=rtolint,
    +
    109 atol=atolint), err_msg
    +
    110 elif output_dtype == np.int32:
    +
    111 assert np.allclose(
    +
    112 luci_output_data, luci_output_data_ref, rtol=rtolint,
    +
    113 atol=atolint), err_msg
    +
    114 elif output_dtype == np.int16:
    +
    115 assert np.allclose(
    +
    116 luci_output_data, luci_output_data_ref, rtol=rtolint,
    +
    117 atol=atolint), err_msg
    +
    118 elif output_dtype == np.bool_:
    +
    119 assert np.allclose(
    +
    120 luci_output_data, luci_output_data_ref, rtol=0, atol=0), err_msg
    121 else:
    122 assert False, "Unsupported data type: " + output_dtype
    123
    diff --git a/namespacetf2tflite_v2.html b/namespacetf2tflite_v2.html index 8a0aacf1aac..9a1d3e9737c 100644 --- a/namespacetf2tflite_v2.html +++ b/namespacetf2tflite_v2.html @@ -613,7 +613,7 @@

    Definition at line 283 of file tf2tfliteV2.py.

    -
    283def main():
    +
    283def main():
    284 # Parse argument.
    285 parser = _get_parser()
    286
    @@ -625,7 +625,7 @@

    292 _convert(flags[0])

    293
    294
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58

    References _check_flags(), _convert(), _get_parser(), and main().

    diff --git a/namespacetflchef.html b/namespacetflchef.html index 795439a7bea..be660fe3f6a 100644 --- a/namespacetflchef.html +++ b/namespacetflchef.html @@ -617,7 +617,7 @@

    References flatbuffers::Vector< T >::Get(), and flatbuffers::Vector< T >::size().

    -

    Referenced by tflchef::TFliteOpReshape::build(), tflchef::TFliteOpSqueeze::build(), fill_two_inputs(), tflchef::TFliteOpBroadcastTo::filler(), tflchef::TFliteOpAddN::filler(), tflchef::TFliteOpBidirectionalSequenceLSTM::filler(), tflchef::TFliteOpConv2D::filler(), tflchef::TFliteOpDepthwiseConv2D::filler(), tflchef::TFliteOpPadV2::filler(), tflchef::TFliteOpPRelu::filler(), tflchef::TFliteOpReshape::filler(), tflchef::TFliteOpReverseSequence::filler(), tflchef::TFliteOpReverseV2::filler(), tflchef::TFliteOpScatterNd::filler(), tflchef::TFliteOpSegmentSum::filler(), tflchef::TFliteOpSlice::filler(), tflchef::TFliteOpStridedSlice::filler(), tflchef::TFliteOpSVDF::filler(), tflchef::TFliteOpUnidirectionalSequenceLSTM::filler(), generate_recipe(), tflchef::TFliteImport::select_sub_graph(), set_inputs(), and set_outputs().

    +

    Referenced by tflchef::TFliteOpReshape::build(), tflchef::TFliteOpSqueeze::build(), fill_two_inputs(), tflchef::TFliteOpBroadcastTo::filler(), tflchef::TFliteOpAddN::filler(), tflchef::TFliteOpBidirectionalSequenceLSTM::filler(), tflchef::TFliteOpConv2D::filler(), tflchef::TFliteOpDepthwiseConv2D::filler(), tflchef::TFliteOpPadV2::filler(), tflchef::TFliteOpPRelu::filler(), tflchef::TFliteOpReshape::filler(), tflchef::TFliteOpReverseSequence::filler(), tflchef::TFliteOpReverseV2::filler(), tflchef::TFliteOpScatterNd::filler(), tflchef::TFliteOpSegmentSum::filler(), tflchef::TFliteOpSlice::filler(), tflchef::TFliteOpStridedSlice::filler(), tflchef::TFliteOpSVDF::filler(), tflchef::TFliteOpUnidirectionalSequenceLSTM::filler(), generate_recipe(), tflchef::TFliteImport::select_sub_graph(), set_inputs(), and set_outputs().

    @@ -658,7 +658,7 @@

    68 }

    69}
    -

    Referenced by tflchef::TFliteOpAdd::build(), tflchef::TFliteOpAveragePool2D::build(), tflchef::TFliteOpBidirectionalSequenceLSTM::build(), tflchef::TFliteOpConcatenation::build(), tflchef::TFliteOpConv2D::build(), tflchef::TFliteOpDepthwiseConv2D::build(), tflchef::TFliteOpDiv::build(), tflchef::TFliteOpFullyConnected::build(), tflchef::TFliteOpL2Normalize::build(), tflchef::TFliteOpL2Pool2D::build(), tflchef::TFliteOpMaxPool2D::build(), tflchef::TFliteOpMul::build(), tflchef::TFliteOpSub::build(), tflchef::TFliteOpSVDF::build(), tflchef::TFliteOpTransposeConv::build(), and tflchef::TFliteOpUnidirectionalSequenceLSTM::build().

    +

    Referenced by tflchef::TFliteOpAdd::build(), tflchef::TFliteOpAveragePool2D::build(), tflchef::TFliteOpBidirectionalSequenceLSTM::build(), tflchef::TFliteOpConcatenation::build(), tflchef::TFliteOpConv2D::build(), tflchef::TFliteOpDepthwiseConv2D::build(), tflchef::TFliteOpDiv::build(), tflchef::TFliteOpFullyConnected::build(), tflchef::TFliteOpL2Normalize::build(), tflchef::TFliteOpL2Pool2D::build(), tflchef::TFliteOpMaxPool2D::build(), tflchef::TFliteOpMul::build(), tflchef::TFliteOpSub::build(), tflchef::TFliteOpSVDF::build(), tflchef::TFliteOpTransposeConv::build(), and tflchef::TFliteOpUnidirectionalSequenceLSTM::build().

    @@ -724,7 +724,7 @@

    81 }
    82}
    -

    Referenced by tflchef::TFliteOpAveragePool2D::build(), tflchef::TFliteOpConv2D::build(), tflchef::TFliteOpDepthwiseConv2D::build(), tflchef::TFliteOpL2Pool2D::build(), tflchef::TFliteOpMaxPool2D::build(), and tflchef::TFliteOpTransposeConv::build().

    +

    Referenced by tflchef::TFliteOpAveragePool2D::build(), tflchef::TFliteOpConv2D::build(), tflchef::TFliteOpDepthwiseConv2D::build(), tflchef::TFliteOpL2Pool2D::build(), tflchef::TFliteOpMaxPool2D::build(), and tflchef::TFliteOpTransposeConv::build().

    diff --git a/namespacetflimport.html b/namespacetflimport.html index 275f4af8c1a..c043a97ba04 100644 --- a/namespacetflimport.html +++ b/namespacetflimport.html @@ -240,7 +240,7 @@

    References flatbuffers::Vector< T >::Get(), flatbuffers::Vector< T >::size(), and size.

    -

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    +

    Referenced by tflimport::AvgPool2DGraphBuilder::build(), tflimport::ConcatenationGraphBuilder::build(), tflimport::DivGraphBuilder::build(), tflimport::MaxPool2DGraphBuilder::build(), tflimport::ReLUGraphBuilder::build(), tflimport::ReLU6GraphBuilder::build(), tflimport::ReshapeGraphBuilder::build(), tflimport::SubGraphBuilder::build(), tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    @@ -403,7 +403,7 @@

    References coco::DLinkedList< Child, Parent >::Head::append(), coco::UnaryOp::arg(), coco::FeatureObject::asFeature(), coco::Object::bag(), InstrBuilder::copy(), coco::FeatureLayouts::BHWC::create(), InstrBuilder::eval(), coco::Block::instr(), instr_builder(), OpBuilder::load(), m, coco::Entity::module(), op_builder(), OpBuilder::pop(), relu_op, and coco::FeatureObject::shape().

    -

    Referenced by tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    +

    Referenced by tflimport::Conv2DGraphBuilder::build(), and tflimport::DepthwiseConv2DGraphBuilder::build().

    @@ -449,7 +449,7 @@

    References nncc::core::ADT::tensor::Shape::dim(), and get_padding().

    -

    Referenced by tflimport::Conv2DGraphBuilder::build().

    +

    Referenced by tflimport::Conv2DGraphBuilder::build().

    diff --git a/namespaceutils.html b/namespaceutils.html index 9aa8d258bda..a36279858b7 100644 --- a/namespaceutils.html +++ b/namespaceutils.html @@ -699,16 +699,16 @@

    128def safemain(main, mainpath):
    129 """execute given method and print with program name for all uncaught exceptions"""
    130 try:
    -
    +
    131 main()
    132 except Exception as e:
    133 prog_name = os.path.basename(mainpath)
    134 print(f"{prog_name}: {type(e).__name__}: " + str(e), file=sys.stderr)
    135 sys.exit(255)
    136
    137
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    -

    References main().

    +

    References main().

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ebbf434d228..7dd46b7cfd3 100644 --- a/nnkit-run_8cpp_source.html +++ b/nnkit-run_8cpp_source.html @@ -245,7 +245,7 @@
    146#include <iostream>
    147
    -
    148int main(int argc, char **argv)
    +
    148int main(int argc, char **argv)
    149{
    150 // Usage:
    151 // [Command] --backend [Backend module path] --backend-arg ... --backend-arg ...
    @@ -371,7 +371,7 @@
    std::unique_ptr< BackendPlugin > make_backend_plugin(const std::string &path)
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/nnkit-tflite_2_conv_backend_8cpp_source.html b/nnkit-tflite_2_conv_backend_8cpp_source.html index ea7094610d2..a28ac88800c 100644 --- a/nnkit-tflite_2_conv_backend_8cpp_source.html +++ b/nnkit-tflite_2_conv_backend_8cpp_source.html @@ -253,7 +253,7 @@
    uint32_t count(void) const
    Definition Shape.h:44
    uint32_t depth(void) const
    Definition Shape.h:45
    -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    uint32_t num_elements(const Shape &shape)
    Return the number of elements in a kernel of a given shape.
    Definition Shape.h:61
    Overlay< T, T * > make_overlay(const Shape &shape, T *base)
    Definition Overlay.h:71
    diff --git a/onert-micro_2eval-driver_2_driver_8cpp_source.html b/onert-micro_2eval-driver_2_driver_8cpp_source.html index 1874468ef13..6ed8f63f65b 100644 --- a/onert-micro_2eval-driver_2_driver_8cpp_source.html +++ b/onert-micro_2eval-driver_2_driver_8cpp_source.html @@ -231,7 +231,7 @@
    130int entry(int argc, char **argv);
    131
    132#ifdef NDEBUG
    -
    133int main(int argc, char **argv)
    +
    133int main(int argc, char **argv)
    134{
    135 try
    136 {
    @@ -246,7 +246,7 @@
    145}
    146#else // NDEBUG
    -
    147int main(int argc, char **argv)
    +
    147int main(int argc, char **argv)
    148{
    149 // NOTE main does not catch internal exceptions for debug build to make it easy to
    150 // check the stacktrace with a debugger
    @@ -257,7 +257,7 @@
    int entry(int argc, char **argv)
    Definition Driver.cpp:29
    void writeDataToFile(const std::string &file_path, const std::string &data)
    write data to file_path
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    diff --git a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.js b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.js deleted file mode 100644 index 6d5e2edf507..00000000000 --- a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.js +++ /dev/null @@ -1,6 +0,0 @@ -var onert_micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed_os_2_main_8cpp = -[ - [ "infer", "onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html#a06128a124529d50e492c34d1d1af4883", null ], - [ "main", "onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4", null ], - [ "print_float", "onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html#ae263043922f2154fed0757f8c9af61bb", null ] -]; \ No newline at end of file diff --git a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html similarity index 85% rename from onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html rename to onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html index 8962c3e8f60..c57443455ca 100644 --- a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html +++ b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html @@ -63,7 +63,7 @@
    @@ -101,15 +101,15 @@ #include "speech_recognition_float.circle.h"
    #include "test_data.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    - + - + - +

    Functions

    std::vector< float > infer ()
    std::vector< float > infer ()
     
    void print_float (float x)
    void print_float (float x)
     
    int main ()
    int main ()
     

    Function Documentation

    @@ -128,7 +128,7 @@

    -

    Definition at line 25 of file main.cpp.

    +

    Definition at line 25 of file main.cpp.

    @@ -171,11 +171,11 @@

    -

    Definition at line 58 of file main.cpp.

    +

    Definition at line 58 of file main.cpp.

    59{
    60 Timer t;
    61 t.start();
    -
    62 auto res = infer();
    +
    62 auto res = infer();
    63 t.stop();
    64 std::cout << "Executed in " << t.read_us() << "us\n";
    65
    @@ -184,16 +184,16 @@

    68

    69 std::cout << "MODEL PREDICTION\n";
    70 for (int i = 0; i < 4; ++i)
    -
    +
    71 print_float(res[i]);
    72 while (true)
    73 {
    74 ThisThread::sleep_for(100ms);
    75 }
    76}
    -
    std::vector< float > infer()
    Definition main.cpp:25
    -
    void print_float(float x)
    Definition main.cpp:41
    +
    std::vector< float > infer()
    Definition main.cpp:25
    +
    void print_float(float x)
    Definition main.cpp:41
    -

    References infer(), and print_float().

    +

    References infer(), and print_float().

    Referenced by main(), and utils::safemain().

    @@ -215,7 +215,7 @@

    -

    Definition at line 41 of file main.cpp.

    +

    Definition at line 41 of file main.cpp.

    42{
    43 int tmp = x * 1000000 - static_cast<int>(x) * 1000000;
    44 std::cout << (tmp >= 0 ? "" : "-") << static_cast<int>(x) << ".";
    @@ -233,7 +233,7 @@

    56 std::cout << (tmp >= 0 ? tmp : -tmp) << "\n";

    57}
    -

    Referenced by main().

    +

    Referenced by main().

    @@ -242,7 +242,7 @@

    diff --git a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.js b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.js new file mode 100644 index 00000000000..8e6b797741b --- /dev/null +++ b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.js @@ -0,0 +1,6 @@ +var onert_micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed_os_2main_8cpp = +[ + [ "infer", "onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html#a06128a124529d50e492c34d1d1af4883", null ], + [ "main", "onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4", null ], + [ "print_float", "onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html#ae263043922f2154fed0757f8c9af61bb", null ] +]; \ No newline at end of file diff --git a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp_source.html b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp_source.html similarity index 86% rename from onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp_source.html rename to onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp_source.html index da1c30730b6..126815c03ae 100644 --- a/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp_source.html +++ b/onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    main.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -122,7 +122,7 @@
    23
    -
    25std::vector<float> infer()
    +
    25std::vector<float> infer()
    26{
    27 auto input_data = reinterpret_cast<float *>(interpreter.allocateInputTensor(0));
    28 for (int i = 0; i < 1960; ++i)
    @@ -140,7 +140,7 @@
    40}
    -
    41void print_float(float x)
    +
    41void print_float(float x)
    42{
    43 int tmp = x * 1000000 - static_cast<int>(x) * 1000000;
    44 std::cout << (tmp >= 0 ? "" : "-") << static_cast<int>(x) << ".";
    @@ -159,11 +159,11 @@
    57}
    -
    58int main()
    +
    58int main()
    59{
    60 Timer t;
    61 t.start();
    -
    62 auto res = infer();
    +
    62 auto res = infer();
    63 t.stop();
    64 std::cout << "Executed in " << t.read_us() << "us\n";
    65
    @@ -172,7 +172,7 @@
    68
    69 std::cout << "MODEL PREDICTION\n";
    70 for (int i = 0; i < 4; ++i)
    -
    71 print_float(res[i]);
    +
    71 print_float(res[i]);
    72 while (true)
    73 {
    74 ThisThread::sleep_for(100ms);
    @@ -181,9 +181,9 @@
    -
    std::vector< float > infer()
    Definition main.cpp:25
    -
    void print_float(float x)
    Definition main.cpp:41
    -
    int main()
    Definition main.cpp:58
    +
    std::vector< float > infer()
    Definition main.cpp:25
    +
    void print_float(float x)
    Definition main.cpp:41
    +
    int main()
    Definition main.cpp:58
    const char circle_model_raw[68200]
    @@ -193,7 +193,7 @@ diff --git a/onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h.html b/onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h.html new file mode 100644 index 00000000000..9adf9e0a4c1 --- /dev/null +++ b/onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h.html @@ -0,0 +1,127 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/include/pal/common/PALSoftmaxCommon.h File Reference + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    + +
    PALSoftmaxCommon.h File Reference
    +
    +
    +
    #include "core/OMKernelData.h"
    +#include <cmath>
    +
    +

    Go to the source code of this file.

    + + + + + + + + +

    +Namespaces

    namespace  onert_micro
     
    namespace  onert_micro::execute
     
    namespace  onert_micro::execute::pal
     
    + + + +

    +Functions

    OMStatus onert_micro::execute::pal::Softmax (const core::SoftmaxParams &params, const float *input_data, float *output_data)
     
    +
    +
    + + + + diff --git a/onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h.js b/onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h.js new file mode 100644 index 00000000000..698ca1c40fa --- /dev/null +++ b/onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h.js @@ -0,0 +1,4 @@ +var onert_micro_2include_2pal_2common_2_p_a_l_softmax_common_8h = +[ + [ "Softmax", "onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h.html#afeb5fc0a6a1aaded64afaecccaefc556", null ] +]; \ No newline at end of file diff --git a/onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h_source.html b/onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h_source.html new file mode 100644 index 00000000000..c91579f7168 --- /dev/null +++ b/onert-micro_2include_2pal_2common_2_p_a_l_softmax_common_8h_source.html @@ -0,0 +1,198 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/include/pal/common/PALSoftmaxCommon.h Source File + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +
    PALSoftmaxCommon.h
    +
    +
    +Go to the documentation of this file.
    1/*
    +
    2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
    +
    3 * Copyright 2017 The TensorFlow Authors. All Rights Reserved.
    +
    4 *
    +
    5 * Licensed under the Apache License, Version 2.0 (the "License");
    +
    6 * you may not use this file except in compliance with the License.
    +
    7 * You may obtain a copy of the License at
    +
    8 *
    +
    9 * http://www.apache.org/licenses/LICENSE-2.0
    +
    10 *
    +
    11 * Unless required by applicable law or agreed to in writing, software
    +
    12 * distributed under the License is distributed on an "AS IS" BASIS,
    +
    13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    +
    14 * See the License for the specific language governing permissions and
    +
    15 * limitations under the License.
    +
    16 */
    +
    17
    +
    18#ifndef ONERT_MICRO_EXECUTE_PAL_SOFTMAX_COMMON_H
    +
    19#define ONERT_MICRO_EXECUTE_PAL_SOFTMAX_COMMON_H
    +
    20
    +
    21#include "core/OMKernelData.h"
    +
    22
    +
    23#include <cmath>
    +
    24
    +
    25namespace onert_micro
    +
    26{
    +
    27namespace execute
    +
    28{
    +
    29namespace pal
    +
    30{
    +
    31
    +
    +
    32OMStatus Softmax(const core::SoftmaxParams &params, const float *input_data, float *output_data)
    +
    33{
    +
    34 const int outer_size = params.num_rows;
    +
    35 const int depth = params.row_size;
    +
    36 const double beta = params.beta;
    +
    37
    +
    38 for (int i = 0; i < outer_size; ++i)
    +
    39 {
    +
    40 // Find max element value which we'll use to ensure numerical stability
    +
    41 // taking advantage of the following equality:
    +
    42 // exp(x[i])/sum(exp(x[i])) == exp(x[i]+C)/sum(exp(x[i]+C))
    +
    43 float max = std::numeric_limits<float>::lowest();
    +
    44 for (int c = 0; c < depth; ++c)
    +
    45 {
    +
    46 max = std::max(max, input_data[i * depth + c]);
    +
    47 }
    +
    48
    +
    49 // Compute sum.
    +
    50 float sum = 0.f;
    +
    51 for (int c = 0; c < depth; ++c)
    +
    52 {
    +
    53 const float exp_c = std::exp((input_data[i * depth + c] - max) * static_cast<float>(beta));
    +
    54 output_data[i * depth + c] = exp_c;
    +
    55 sum += exp_c;
    +
    56 }
    +
    57
    +
    58 assert(sum != 0);
    +
    59
    +
    60 if (sum == 0)
    +
    61 return UnknownError;
    +
    62
    +
    63 // Compute result.
    +
    64 for (int c = 0; c < depth; ++c)
    +
    65 {
    +
    66 output_data[i * depth + c] = output_data[i * depth + c] / sum;
    +
    67 }
    +
    68 }
    +
    69 return Ok;
    +
    70}
    +
    +
    71
    +
    72} // namespace pal
    +
    73} // namespace execute
    +
    74} // namespace onert_micro
    +
    75
    +
    76#endif // ONERT_MICRO_EXECUTE_PAL_SOFTMAX_COMMON_H
    + +
    OMStatus Softmax(const core::SoftmaxParams &params, const float *input_data, float *output_data)
    + + + + + + + + +
    +
    + + + + diff --git a/onert-micro_2luci-interpreter_2pal_2cmsisnn_2_p_a_l_softmax_8h.html b/onert-micro_2luci-interpreter_2pal_2cmsisnn_2_p_a_l_softmax_8h.html index 1c9343375e6..d898b4c79f1 100644 --- a/onert-micro_2luci-interpreter_2pal_2cmsisnn_2_p_a_l_softmax_8h.html +++ b/onert-micro_2luci-interpreter_2pal_2cmsisnn_2_p_a_l_softmax_8h.html @@ -95,7 +95,7 @@
    PALSoftmax.h File Reference
    -
    #include "PALSoftmaxCommon.h"
    +
    #include "PALSoftmaxCommon.h"
    #include <arm_nnfunctions.h>

    Go to the source code of this file.

    diff --git a/onert-micro_2luci-interpreter_2pal_2cmsisnn_2_p_a_l_softmax_8h_source.html b/onert-micro_2luci-interpreter_2pal_2cmsisnn_2_p_a_l_softmax_8h_source.html index 72990dca143..ca4b1275ca4 100644 --- a/onert-micro_2luci-interpreter_2pal_2cmsisnn_2_p_a_l_softmax_8h_source.html +++ b/onert-micro_2luci-interpreter_2pal_2cmsisnn_2_p_a_l_softmax_8h_source.html @@ -117,7 +117,7 @@
    18#ifndef LUCI_INTERPRETER_PAL_SOFTMAX_H
    19#define LUCI_INTERPRETER_PAL_SOFTMAX_H
    20
    -
    21#include "PALSoftmaxCommon.h"
    +
    21#include "PALSoftmaxCommon.h"
    22
    23#include <arm_nnfunctions.h>
    24
    @@ -247,7 +247,6 @@
    142} // namespace luci_interpreter_pal
    143
    144#endif // LUCI_INTERPRETER_PAL_SOFTMAX_H
    - diff --git a/onert-micro_2luci-interpreter_2pal_2mcu_2_p_a_l_softmax_8h.html b/onert-micro_2luci-interpreter_2pal_2mcu_2_p_a_l_softmax_8h.html index 53814aa347f..48a70ade4cb 100644 --- a/onert-micro_2luci-interpreter_2pal_2mcu_2_p_a_l_softmax_8h.html +++ b/onert-micro_2luci-interpreter_2pal_2mcu_2_p_a_l_softmax_8h.html @@ -95,7 +95,7 @@
    PALSoftmax.h File Reference
    -
    #include "PALSoftmaxCommon.h"
    +
    #include "PALSoftmaxCommon.h"

    Go to the source code of this file.

    diff --git a/onert-micro_2luci-interpreter_2pal_2mcu_2_p_a_l_softmax_8h_source.html b/onert-micro_2luci-interpreter_2pal_2mcu_2_p_a_l_softmax_8h_source.html index 90f161a821e..da6b27f8eb3 100644 --- a/onert-micro_2luci-interpreter_2pal_2mcu_2_p_a_l_softmax_8h_source.html +++ b/onert-micro_2luci-interpreter_2pal_2mcu_2_p_a_l_softmax_8h_source.html @@ -117,7 +117,7 @@
    18#ifndef LUCI_INTERPRETER_PAL_SOFTMAX_H
    19#define LUCI_INTERPRETER_PAL_SOFTMAX_H
    20
    -
    21#include "PALSoftmaxCommon.h"
    +
    21#include "PALSoftmaxCommon.h"
    22
    24{
    @@ -140,7 +140,6 @@
    41} // namespace luci_interpreter_pal
    42
    43#endif // LUCI_INTERPRETER_PAL_SOFTMAX_H
    -
    void Softmax(const SoftmaxParams &params, const Shape &input_shape, const float *input_data, const Shape &output_shape, float *output_data)
    Definition SoftMax.h:43
    diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp.html b/onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.html similarity index 95% rename from onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp.html rename to onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.html index d9fea344949..b7d63f4654d 100644 --- a/onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp.html +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -99,7 +99,7 @@ #include "kernels/Utils.h"
    #include "PALConv2d.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    @@ -118,7 +118,7 @@ diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.js b/onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.js new file mode 100644 index 00000000000..c7436e4545f --- /dev/null +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.js @@ -0,0 +1,5 @@ +var onert_micro_2luci_interpreter_2src_2kernels_2_conv2_d_8cpp = +[ + [ "configure_kernel_CircleConv2D", "onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.html#ae4a432de91a1d5cb73450b76ecde20c1", null ], + [ "execute_kernel_CircleConv2D", "onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp.html#a5fa5b4c769d09b598598a7e5db739577", null ] +]; \ No newline at end of file diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp_source.html b/onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp_source.html similarity index 99% rename from onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp_source.html rename to onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp_source.html index c3412e1233f..2da69acf73b 100644 --- a/onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp_source.html +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 * Copyright 2019 The TensorFlow Authors. All Rights Reserved.
    4 *
    @@ -449,8 +449,8 @@
    luci_interpreter_pal::ConvParams createConv2DParams(const circle::Tensor *input, const circle::Tensor *filter, const circle::Tensor *output, const circle::Conv2DOptions *options)
    RuntimeGraph BaseRuntimeGraph
    -
    void execute_kernel_CircleConv2D(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition Conv2D.cpp:282
    -
    void configure_kernel_CircleConv2D(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition Conv2D.cpp:213
    +
    void execute_kernel_CircleConv2D(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition Conv2D.cpp:282
    +
    void configure_kernel_CircleConv2D(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition Conv2D.cpp:213
    int32_t size[5]
    Definition Slice.cpp:35
    @@ -460,7 +460,7 @@ diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp.html b/onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.html similarity index 96% rename from onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp.html rename to onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.html index 94d777ef9ee..548f8d87fec 100644 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp.html +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,7 +100,7 @@ #include "SISOKernel.h"
    #include "PALElu.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -119,7 +119,7 @@ diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.js b/onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.js new file mode 100644 index 00000000000..4ee1c8c9376 --- /dev/null +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.js @@ -0,0 +1,5 @@ +var onert_micro_2luci_interpreter_2src_2kernels_2_e_l_u_8cpp = +[ + [ "configure_kernel_CircleElu", "onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.html#a68f66bef63ee774e36017c7aa2e2ecb7", null ], + [ "execute_kernel_CircleElu", "onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp.html#a42b6da49da4f85b74939a9339b0bf3d0", null ] +]; \ No newline at end of file diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp_source.html b/onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp_source.html similarity index 97% rename from onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp_source.html rename to onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp_source.html index a3fdab99c21..fde48681934 100644 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp_source.html +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_e_l_u_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Elu.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -189,15 +189,15 @@
    #define LUCI_INTERPRETER_CHECK(cond)
    Definition Utils.h:36
    luci_interpreter::RuntimeShape getTensorRuntimeShape(const circle::Tensor *circle_tensor, BaseRuntimeGraph *runtime_graph)
    Definition Utils.cpp:29
    -
    void execute_kernel_CircleElu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition Elu.cpp:37
    -
    void configure_kernel_CircleElu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition Elu.cpp:26
    +
    void execute_kernel_CircleElu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition Elu.cpp:37
    +
    void configure_kernel_CircleElu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition Elu.cpp:26
    diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp.js b/onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp.js deleted file mode 100644 index 9ab09433222..00000000000 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var onert_micro_2luci_interpreter_2src_2kernels_2_elu_8cpp = -[ - [ "configure_kernel_CircleElu", "onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp.html#a68f66bef63ee774e36017c7aa2e2ecb7", null ], - [ "execute_kernel_CircleElu", "onert-micro_2luci-interpreter_2src_2kernels_2_elu_8cpp.html#a42b6da49da4f85b74939a9339b0bf3d0", null ] -]; \ No newline at end of file diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html similarity index 96% rename from onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html rename to onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html index 8951df8bd40..cd4bd1abde4 100644 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,7 +100,7 @@ #include "SISOKernel.h"
    #include "PALReluCommon.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -119,7 +119,7 @@ diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.js b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.js new file mode 100644 index 00000000000..729f30a550a --- /dev/null +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.js @@ -0,0 +1,5 @@ +var onert_micro_2luci_interpreter_2src_2kernels_2_leaky_re_l_u_8cpp = +[ + [ "configure_kernel_CircleLeakyRelu", "onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html#a551becc961249ab7dacb4be985e2c99d", null ], + [ "execute_kernel_CircleLeakyRelu", "onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp.html#a2ed6c95c72ae8c8e13798278d03034bf", null ] +]; \ No newline at end of file diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html similarity index 97% rename from onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html rename to onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html index cbb2a7a3910..dc35fda661d 100644 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp_source.html +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_re_l_u_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    LeakyRelu.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -194,15 +194,15 @@
    luci_interpreter::RuntimeShape getTensorRuntimeShape(const circle::Tensor *circle_tensor, BaseRuntimeGraph *runtime_graph)
    Definition Utils.cpp:29
    void ReLUCommon(const int flat_size, const float *input_data, float *output_data, const float alpha, const bool is_relu_6)
    -
    void execute_kernel_CircleLeakyRelu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition LeakyRelu.cpp:38
    -
    void configure_kernel_CircleLeakyRelu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition LeakyRelu.cpp:26
    +
    void execute_kernel_CircleLeakyRelu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition LeakyRelu.cpp:38
    +
    void configure_kernel_CircleLeakyRelu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition LeakyRelu.cpp:26
    diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.js b/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.js deleted file mode 100644 index 6fc27d9a466..00000000000 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var onert_micro_2luci_interpreter_2src_2kernels_2_leaky_relu_8cpp = -[ - [ "configure_kernel_CircleLeakyRelu", "onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html#a551becc961249ab7dacb4be985e2c99d", null ], - [ "execute_kernel_CircleLeakyRelu", "onert-micro_2luci-interpreter_2src_2kernels_2_leaky_relu_8cpp.html#a2ed6c95c72ae8c8e13798278d03034bf", null ] -]; \ No newline at end of file diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp.html b/onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.html similarity index 96% rename from onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp.html rename to onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.html index 1172289db32..8195ea3e634 100644 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp.html +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,7 +100,7 @@ #include "SISOKernel.h"
    #include "PALReluCommon.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    Namespaces

    @@ -119,7 +119,7 @@ diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.js b/onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.js new file mode 100644 index 00000000000..83288f3e668 --- /dev/null +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.js @@ -0,0 +1,5 @@ +var onert_micro_2luci_interpreter_2src_2kernels_2_re_l_u6_8cpp = +[ + [ "configure_kernel_CircleRelu6", "onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.html#a6a30bab55fd27323d9ab19d35ce4c686", null ], + [ "execute_kernel_CircleRelu6", "onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp.html#a69e263e0b10e11b255a1d635baaef136", null ] +]; \ No newline at end of file diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp_source.html b/onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp_source.html similarity index 97% rename from onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp_source.html rename to onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp_source.html index 962892e868a..8e0b44f1136 100644 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp_source.html +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_re_l_u6_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Relu6.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -191,15 +191,15 @@
    luci_interpreter::RuntimeShape getTensorRuntimeShape(const circle::Tensor *circle_tensor, BaseRuntimeGraph *runtime_graph)
    Definition Utils.cpp:29
    void ReLUCommon(const int flat_size, const float *input_data, float *output_data, const float alpha, const bool is_relu_6)
    -
    void execute_kernel_CircleRelu6(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition Relu6.cpp:37
    -
    void configure_kernel_CircleRelu6(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition Relu6.cpp:26
    +
    void execute_kernel_CircleRelu6(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition Relu6.cpp:37
    +
    void configure_kernel_CircleRelu6(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
    Definition Relu6.cpp:26
    diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp.js b/onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp.js deleted file mode 100644 index 3af1369b7d7..00000000000 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var onert_micro_2luci_interpreter_2src_2kernels_2_relu6_8cpp = -[ - [ "configure_kernel_CircleRelu6", "onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp.html#a6a30bab55fd27323d9ab19d35ce4c686", null ], - [ "execute_kernel_CircleRelu6", "onert-micro_2luci-interpreter_2src_2kernels_2_relu6_8cpp.html#a69e263e0b10e11b255a1d635baaef136", null ] -]; \ No newline at end of file diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2_slice_8cpp.html b/onert-micro_2luci-interpreter_2src_2kernels_2_slice_8cpp.html index cb59e46f83e..d14f98fa775 100644 --- a/onert-micro_2luci-interpreter_2src_2kernels_2_slice_8cpp.html +++ b/onert-micro_2luci-interpreter_2src_2kernels_2_slice_8cpp.html @@ -167,7 +167,7 @@

    Definition at line 35 of file Slice.cpp.

    -

    Referenced by Add(), nnfw::cker::optimized::AddElementwise(), nnfw::cker::optimized::AddElementwise(), nnfw::cker::AddN(), nnfw::cker::optimized::AddScalarBroadcast(), nnfw::cker::optimized::AddScalarBroadcast(), loco::all_nodes(), nnkit::support::onnx::Allocator::Alloc(), flatbuffers::Allocate(), nnkit::support::tf::TensorDataMap::allocate(), flatbuffers::DefaultAllocator::allocate(), flatbuffers::grpc::SliceAllocator::allocate(), luci_interpreter::BuddyMemoryManager::allocate_memory(), onert_micro::core::memory::OMMemoryManager::allocateMemory(), nnkit::support::onnx::Allocator::Allocator(), ANeuralNetworksMemory_createFromFd(), tflimport::as_index_vector(), onert::ir::Operand::asVector(), luci::asymmetric_wquant_with_minmax_per_layer(), luci::VectorWrapper< T >::at(), filesystem::basename(), nnfw::cker::BCastList< N >::BCastList(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::optimized::BinaryOpElementwise(), nnfw::cker::optimized::BinaryOpScalarBroadcast(), circlechef::CircleImport::buffer_info(), tflchef::TFliteImport::buffer_info(), mio::circle::Reader::buffer_info(), tflinspect::Reader::buffer_info(), tflread::Reader::buffer_info(), luci_interpreter::build_kernel_CircleResizeBilinear(), luci_interpreter::build_kernel_CircleResizeNearestNeighbor(), luci_interpreter::build_kernel_CircleSlice(), onert_micro::core::reader::OMCircleReader::builtin_code(), luci_interpreter::kernels::calculateActivationRangeQuantized(), luci_interpreter::kernels::calculateOutputShape(), onert::compiler::pass::ConstantInsertionPass::callback(), luci::change_outputs(), luci_interpreter::GraphLoader::checkInplaceOps(), onert::backend::basic::BumpPlanner::claim(), onert::backend::basic::FirstFitPlanner::claim(), onert::backend::basic::WICPlanner::claim(), onert::backend::train::TensorManager::claimBackPropPlan(), onert::backend::train::TensorManager::claimGradientPlan(), onert::backend::train::TensorManager::claimNonConstPlan(), onert::backend::basic::MemoryManager::claimPlan(), onert::backend::basic::StaticTensorManager::claimPlan(), onert::backend::train::TensorManager::claimTrainablePlan(), enco::SubnetBlockCompiler::compile(), mpqsolver::core::MAEMetric::compute(), circle_planner::ScratchpadHelperLinux::ComputeScratchpadSizeConv2d(), luci_interpreter::kernels::Add::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::Dequantize::configure(), luci_interpreter::kernels::If::configure(), luci_interpreter::kernels::Mul::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::While::configure(), luci_interpreter::RuntimeGraph::configure(), onert::backend::cpu::ops::SliceLayer::configure(), onert::backend::cpu::ops::ResizeBilinearLayer::configure(), luci_interpreter::configure_kernel_CircleConcatenation(), luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleResizeBilinear(), onert_micro::import::OMKernelConfiguration::configureKernels(), exo::ConstGenConverter::convert(), mir_onnx::convertShapeV1(), mir_tflite::TFLiteOpCreator::convertStridedSlice(), onert::loader::Copy(), nnfw::cker::Cos(), PrivateMemory::create(), loco::Graph::OutputContext::create(), luci::create_const_node(), luci::create_const_node(), flatbuffers::Deallocate(), flatbuffers::grpc::SliceAllocator::deallocate(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), sparsity::FormatConverter< T >::DenseToSparse(), Div(), enco::CppCode::dump(), locop::FormattedGraphImpl< Formatter::LinearV1 >::dump(), circledump::dump_buffer(), tfldump::dump_buffer(), circledump::dump_fbvect(), tfldump::dump_fbvect(), circledump::dump_fbvect(), tfldump::dump_fbvect(), circledump::dump_model(), tfldump::dump_model(), exo::CircleExporter::dumpToFile(), exo::TFLExporter::dumpToFile(), luci::VectorWrapper< T >::empty(), flatbuffers::FLATBUFFERS_FINAL_CLASS< T >::empty(), luci::CircleExportMetadata::encoded_execution_plan_table(), entry(), nnfw::cker::Erf(), onert::backend::cpu::ops::ElementwiseActivationLayer::EvalUsingLookupTable(), luci_interpreter::kernels::Conv2D::execute(), luci_interpreter::kernels::DepthwiseConv2D::execute(), luci_interpreter::kernels::Transpose::execute(), luci_interpreter::kernels::TransposeConv::execute(), onert::exec::ExecutorBase::execute(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleConv2D(), luci_interpreter::execute_kernel_CircleIf(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleResizeBilinear(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleTranspose(), luci_interpreter::execute_kernel_CircleWhile(), onert_micro::execute::OMKernelExecute::executeKernel(), nnfw::cker::Exp(), enco::SubnetStructBuilder::expr(), flatbuffers::FindHashFunction16(), flatbuffers::FindHashFunction32(), flatbuffers::FindHashFunction64(), enco::generate_bypass_shuffle(), enco::generate_global_data(), onert::backend::gpu_cl::KernelGenerator::get_operation(), luci_interpreter::kernels::getBeginAndSizeVectors(), luci_interpreter::RuntimeGraph::getInputDataSizeByIndex(), onert_micro::core::getOMDataTypeSize(), luci_interpreter::RuntimeGraph::getOutputDataSizeByIndex(), onert::shape_inference::bcq::getOutputSize(), flexbuffers::GetRoot(), nnfw::cker::GetSize(), onert::exec::ProfileObserver::handleJobEnd(), enco::hoist_object(), onert::shape_inference::inferSliceShape(), luci::input_node(), loco::input_nodes(), nnfw::cker::InstanceNorm(), luci::CircleExporter::invoke(), flatbuffers::IterateObject(), Frontend::load(), nnfw_session::load_circle_from_buffer(), load_from(), onert::loader::loadCircleModel(), luci_interpreter::GraphLoader::loadTensors(), onert::loader::loadTrainingInfo(), nnfw::cker::Log(), nnfw::cker::LogicalNot(), enco::lower_copy(), MapAsVector(), nnfw::cker::MapAsVector(), nnfw::cker::train::MSE(), nnfw::cker::train::MSEGrad(), Mul(), luci_interpreter_pal::lstm_internal::mulElementwise(), nnfw::cker::optimized::MulElementwise(), nnfw::cker::optimized::MulElementwise(), nnfw::cker::optimized::MulSimpleBroadcast(), nnfw::cker::optimized::MulSimpleBroadcast(), nnfw::cker::Neg(), nnfw_load_circle_from_buffer(), onert::backend::basic::TensorBuilder::notifyFirstUse(), onert::backend::builtin::TensorBuilder::notifyFirstUse(), npud::core::DBus::on_handle_buffers_create(), npud::core::DBus::on_handle_buffers_destroy(), npud::core::DBus::on_handle_request_set_data(), nnfw::cker::FusedBatchNorm::operator()(), nnfw::cker::functor::FillPhiloxRandom< CPUDevice, Distribution >::operator()(), circledump::SqueezePrinter::options(), tfldump::SqueezePrinter::options(), luci::output_node(), loco::output_nodes(), moco::placeholder_node(), nnfw::cker::PortableAsymmetricQuantizeFloats(), nnfw::cker::PortableSymmetricQuantizeFloats(), tflimport::TensorContext::prepare(), tflimport::TensorBags::prepare(), nnkit::support::tf::Runner::prepareInputs(), loco::pull_node(), loco::push_node(), moco::push_node(), exo::circle_detail::registerGraphIOName(), exo::tflite_detail::registerGraphIOName(), onert::backend::basic::FirstFitPlanner::release(), flatbuffers::FlatBufferBuilder::ReleaseRaw(), flatbuffers::grpc::MessageBuilder::ReleaseRaw(), nnfw::cker::ReLU6(), nnfw::cker::Requantize(), nnfw::cker::Requantize< int8_t, uint8_t >(), nnfw::cker::Requantize< uint8_t, int8_t >(), luci_interpreter::RuntimeGraph::resetOutputTensorsData(), mir::Index::resize(), mir::Shape::resize(), nncc::core::ADT::tensor::Index::resize(), nncc::core::ADT::tensor::Shape::resize(), nnfw::cker::Rsqrt(), nnfw::cker::functor::FillPhiloxRandomTask< Distribution, true >::Run(), nnfw::cker::functor::FillPhiloxRandomTask< Distribution, false >::Run(), tflite::reference_ops::SelectTrueCoords(), MappedMemory::set(), locoex::set_new_shape(), onert::backend::builtin::UserTensor::setBuffer(), nnkit::support::moco::tf::Backend::setInputOutputFromGraph(), onert::backend::builtin::IOTensor::setUserTensor(), nnfw::cker::Sin(), flatbuffers::FLATBUFFERS_FINAL_CLASS< T >::size_bytes(), onert::backend::cpu::ops::sizeOfData(), sizeOfData(), luci::CircleFileExpContract::store(), Sub(), luci::swap_mul_add(), luci::symmetric_wquant_with_minmax_per_layer(), nnfw::cker::SymmetricQuantizeFloats(), tflimport::TflBufferContext::tensor_buffer(), nnfw_session::train_set_expected(), nnfw_session::train_set_input(), onert::exec::DynamicShapeInferer::visit(), onert::ir::OperationValidator::visit(), and locomotiv::Session::~Session().

    +

    Referenced by Add(), nnfw::cker::optimized::AddElementwise(), nnfw::cker::optimized::AddElementwise(), nnfw::cker::AddN(), nnfw::cker::optimized::AddScalarBroadcast(), nnfw::cker::optimized::AddScalarBroadcast(), loco::all_nodes(), nnkit::support::onnx::Allocator::Alloc(), flatbuffers::Allocate(), nnkit::support::tf::TensorDataMap::allocate(), flatbuffers::DefaultAllocator::allocate(), flatbuffers::grpc::SliceAllocator::allocate(), luci_interpreter::BuddyMemoryManager::allocate_memory(), onert_micro::core::memory::OMMemoryManager::allocateMemory(), nnkit::support::onnx::Allocator::Allocator(), ANeuralNetworksMemory_createFromFd(), tflimport::as_index_vector(), onert::ir::Operand::asVector(), luci::asymmetric_wquant_with_minmax_per_layer(), luci::VectorWrapper< T >::at(), filesystem::basename(), nnfw::cker::BCastList< N >::BCastList(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::reference::BinaryArithmeticOp(), nnfw::cker::optimized::BinaryOpElementwise(), nnfw::cker::optimized::BinaryOpScalarBroadcast(), circlechef::CircleImport::buffer_info(), tflchef::TFliteImport::buffer_info(), mio::circle::Reader::buffer_info(), tflinspect::Reader::buffer_info(), tflread::Reader::buffer_info(), luci_interpreter::build_kernel_CircleResizeBilinear(), luci_interpreter::build_kernel_CircleResizeNearestNeighbor(), luci_interpreter::build_kernel_CircleSlice(), onert_micro::core::reader::OMCircleReader::builtin_code(), luci_interpreter::kernels::calculateActivationRangeQuantized(), luci_interpreter::kernels::calculateOutputShape(), onert::compiler::pass::ConstantInsertionPass::callback(), luci::change_outputs(), luci_interpreter::GraphLoader::checkInplaceOps(), onert::backend::basic::BumpPlanner::claim(), onert::backend::basic::FirstFitPlanner::claim(), onert::backend::basic::WICPlanner::claim(), onert::backend::train::TensorManager::claimBackPropPlan(), onert::backend::train::TensorManager::claimGradientPlan(), onert::backend::train::TensorManager::claimNonConstPlan(), onert::backend::basic::MemoryManager::claimPlan(), onert::backend::basic::StaticTensorManager::claimPlan(), onert::backend::train::TensorManager::claimTrainablePlan(), enco::SubnetBlockCompiler::compile(), mpqsolver::core::MAEMetric::compute(), circle_planner::ScratchpadHelperLinux::ComputeScratchpadSizeConv2d(), luci_interpreter::kernels::Add::configure(), luci_interpreter::kernels::Conv2D::configure(), luci_interpreter::kernels::DepthwiseConv2D::configure(), luci_interpreter::kernels::Dequantize::configure(), luci_interpreter::kernels::If::configure(), luci_interpreter::kernels::Mul::configure(), luci_interpreter::kernels::PRelu::configure(), luci_interpreter::kernels::UnidirectionalSequenceLSTM::configure(), luci_interpreter::kernels::While::configure(), luci_interpreter::RuntimeGraph::configure(), onert::backend::cpu::ops::SliceLayer::configure(), onert::backend::cpu::ops::ResizeBilinearLayer::configure(), luci_interpreter::configure_kernel_CircleConcatenation(), luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleResizeBilinear(), onert_micro::import::OMKernelConfiguration::configureKernels(), exo::ConstGenConverter::convert(), mir_onnx::convertShapeV1(), mir_tflite::TFLiteOpCreator::convertStridedSlice(), onert::loader::Copy(), nnfw::cker::Cos(), PrivateMemory::create(), loco::Graph::OutputContext::create(), luci::create_const_node(), luci::create_const_node(), flatbuffers::Deallocate(), flatbuffers::grpc::SliceAllocator::deallocate(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), DEBUGGING_API_P(), sparsity::FormatConverter< T >::DenseToSparse(), Div(), enco::CppCode::dump(), locop::FormattedGraphImpl< Formatter::LinearV1 >::dump(), circledump::dump_buffer(), tfldump::dump_buffer(), circledump::dump_fbvect(), tfldump::dump_fbvect(), circledump::dump_fbvect(), tfldump::dump_fbvect(), circledump::dump_model(), tfldump::dump_model(), exo::CircleExporter::dumpToFile(), exo::TFLExporter::dumpToFile(), luci::VectorWrapper< T >::empty(), flatbuffers::FLATBUFFERS_FINAL_CLASS< T >::empty(), luci::CircleExportMetadata::encoded_execution_plan_table(), entry(), nnfw::cker::Erf(), onert::backend::cpu::ops::ElementwiseActivationLayer::EvalUsingLookupTable(), luci_interpreter::kernels::Conv2D::execute(), luci_interpreter::kernels::DepthwiseConv2D::execute(), luci_interpreter::kernels::Transpose::execute(), luci_interpreter::kernels::TransposeConv::execute(), onert::exec::ExecutorBase::execute(), luci_interpreter::execute_kernel_CircleAdd(), luci_interpreter::execute_kernel_CircleConv2D(), luci_interpreter::execute_kernel_CircleIf(), luci_interpreter::execute_kernel_CircleReshape(), luci_interpreter::execute_kernel_CircleResizeBilinear(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleTranspose(), luci_interpreter::execute_kernel_CircleWhile(), onert_micro::execute::OMKernelExecute::executeKernel(), nnfw::cker::Exp(), enco::SubnetStructBuilder::expr(), flatbuffers::FindHashFunction16(), flatbuffers::FindHashFunction32(), flatbuffers::FindHashFunction64(), enco::generate_bypass_shuffle(), enco::generate_global_data(), onert::backend::gpu_cl::KernelGenerator::get_operation(), luci_interpreter::kernels::getBeginAndSizeVectors(), luci_interpreter::RuntimeGraph::getInputDataSizeByIndex(), onert_micro::core::getOMDataTypeSize(), luci_interpreter::RuntimeGraph::getOutputDataSizeByIndex(), onert::shape_inference::bcq::getOutputSize(), flexbuffers::GetRoot(), nnfw::cker::GetSize(), onert::exec::ProfileObserver::handleJobEnd(), enco::hoist_object(), onert::shape_inference::inferSliceShape(), luci::input_node(), loco::input_nodes(), nnfw::cker::InstanceNorm(), luci::CircleExporter::invoke(), flatbuffers::IterateObject(), Frontend::load(), nnfw_session::load_circle_from_buffer(), load_from(), onert::loader::loadCircleModel(), luci_interpreter::GraphLoader::loadTensors(), onert::loader::loadTrainingInfo(), nnfw::cker::Log(), nnfw::cker::LogicalNot(), enco::lower_copy(), MapAsVector(), nnfw::cker::MapAsVector(), nnfw::cker::train::MSE(), nnfw::cker::train::MSEGrad(), Mul(), luci_interpreter_pal::lstm_internal::mulElementwise(), nnfw::cker::optimized::MulElementwise(), nnfw::cker::optimized::MulElementwise(), nnfw::cker::optimized::MulSimpleBroadcast(), nnfw::cker::optimized::MulSimpleBroadcast(), nnfw::cker::Neg(), nnfw_load_circle_from_buffer(), onert::backend::basic::TensorBuilder::notifyFirstUse(), onert::backend::builtin::TensorBuilder::notifyFirstUse(), npud::core::DBus::on_handle_buffers_create(), npud::core::DBus::on_handle_buffers_destroy(), npud::core::DBus::on_handle_request_set_data(), nnfw::cker::FusedBatchNorm::operator()(), nnfw::cker::functor::FillPhiloxRandom< CPUDevice, Distribution >::operator()(), circledump::SqueezePrinter::options(), tfldump::SqueezePrinter::options(), luci::output_node(), loco::output_nodes(), moco::placeholder_node(), nnfw::cker::PortableAsymmetricQuantizeFloats(), nnfw::cker::PortableSymmetricQuantizeFloats(), tflimport::TensorContext::prepare(), tflimport::TensorBags::prepare(), nnkit::support::tf::Runner::prepareInputs(), loco::pull_node(), loco::push_node(), moco::push_node(), exo::circle_detail::registerGraphIOName(), exo::tflite_detail::registerGraphIOName(), onert::backend::basic::FirstFitPlanner::release(), flatbuffers::FlatBufferBuilder::ReleaseRaw(), flatbuffers::grpc::MessageBuilder::ReleaseRaw(), nnfw::cker::ReLU6(), nnfw::cker::Requantize(), nnfw::cker::Requantize< int8_t, uint8_t >(), nnfw::cker::Requantize< uint8_t, int8_t >(), luci_interpreter::RuntimeGraph::resetOutputTensorsData(), mir::Index::resize(), mir::Shape::resize(), nncc::core::ADT::tensor::Index::resize(), nncc::core::ADT::tensor::Shape::resize(), nnfw::cker::Rsqrt(), nnfw::cker::functor::FillPhiloxRandomTask< Distribution, true >::Run(), nnfw::cker::functor::FillPhiloxRandomTask< Distribution, false >::Run(), tflite::reference_ops::SelectTrueCoords(), MappedMemory::set(), locoex::set_new_shape(), onert::backend::builtin::UserTensor::setBuffer(), nnkit::support::moco::tf::Backend::setInputOutputFromGraph(), onert::backend::builtin::IOTensor::setUserTensor(), nnfw::cker::Sin(), flatbuffers::FLATBUFFERS_FINAL_CLASS< T >::size_bytes(), onert::backend::cpu::ops::sizeOfData(), sizeOfData(), luci::CircleFileExpContract::store(), Sub(), luci::swap_mul_add(), luci::symmetric_wquant_with_minmax_per_layer(), nnfw::cker::SymmetricQuantizeFloats(), tflimport::TflBufferContext::tensor_buffer(), nnfw_session::train_set_expected(), nnfw_session::train_set_input(), onert::exec::DynamicShapeInferer::visit(), onert::ir::OperationValidator::visit(), and locomotiv::Session::~Session().

    diff --git a/onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp.js b/onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp.js deleted file mode 100644 index aa697608c4b..00000000000 --- a/onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp.js +++ /dev/null @@ -1,5 +0,0 @@ -var onert_micro_2luci_interpreter_2src_2kernels_2conv2d_8cpp = -[ - [ "configure_kernel_CircleConv2D", "onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp.html#ae4a432de91a1d5cb73450b76ecde20c1", null ], - [ "execute_kernel_CircleConv2D", "onert-micro_2luci-interpreter_2src_2kernels_2conv2d_8cpp.html#a5fa5b4c769d09b598598a7e5db739577", null ] -]; \ No newline at end of file diff --git a/onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h.html b/onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h.html new file mode 100644 index 00000000000..a9eb1cb945a --- /dev/null +++ b/onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h.html @@ -0,0 +1,130 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/include/pal/mcu/PALSoftmax.h File Reference + + + + + + + + + + + + + +
    +
    +

    Namespaces

    + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
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    + +
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    + +
    PALSoftmax.h File Reference
    +
    +
    +
    #include "PALSoftmaxCommon.h"
    +
    +

    Go to the source code of this file.

    + + + + + + + + +

    +Namespaces

    namespace  onert_micro
     
    namespace  onert_micro::execute
     
    namespace  onert_micro::execute::pal
     
    + + + + + + + +

    +Functions

    OMStatus onert_micro::execute::pal::Softmax (const core::SoftmaxParams &params, const int8_t *input_data, int8_t *output_data)
     
    OMStatus onert_micro::execute::pal::Softmax (const core::SoftmaxParams &params, const int8_t *input_data, int16_t *output_data)
     
    OMStatus onert_micro::execute::pal::Softmax (const core::SoftmaxParams &params, const int16_t *input_data, int16_t *output_data)
     
    +
    +
    + + + + diff --git a/onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h.js b/onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h.js new file mode 100644 index 00000000000..17725dadc38 --- /dev/null +++ b/onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h.js @@ -0,0 +1,6 @@ +var onert_micro_2onert_micro_2include_2pal_2mcu_2_p_a_l_softmax_8h = +[ + [ "Softmax", "onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h.html#a946431aa4d01c313667769633fdbd614", null ], + [ "Softmax", "onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h.html#a7c897c085dd763a331e29b89a5e4ed61", null ], + [ "Softmax", "onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h.html#ae98733118003d134b95c5bfa136eab11", null ] +]; \ No newline at end of file diff --git a/onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h_source.html b/onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h_source.html new file mode 100644 index 00000000000..1df4bfe9bd7 --- /dev/null +++ b/onert-micro_2onert-micro_2include_2pal_2mcu_2_p_a_l_softmax_8h_source.html @@ -0,0 +1,173 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/include/pal/mcu/PALSoftmax.h Source File + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + + +
    +
    + +
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    +
    PALSoftmax.h
    +
    +
    +Go to the documentation of this file.
    1/*
    +
    2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
    +
    3 * Copyright 2017 The TensorFlow Authors. All Rights Reserved.
    +
    4 *
    +
    5 * Licensed under the Apache License, Version 2.0 (the "License");
    +
    6 * you may not use this file except in compliance with the License.
    +
    7 * You may obtain a copy of the License at
    +
    8 *
    +
    9 * http://www.apache.org/licenses/LICENSE-2.0
    +
    10 *
    +
    11 * Unless required by applicable law or agreed to in writing, software
    +
    12 * distributed under the License is distributed on an "AS IS" BASIS,
    +
    13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    +
    14 * See the License for the specific language governing permissions and
    +
    15 * limitations under the License.
    +
    16 */
    +
    17
    +
    18#ifndef ONERT_MICRO_EXECUTE_PAL_SOFTMAX_H
    +
    19#define ONERT_MICRO_EXECUTE_PAL_SOFTMAX_H
    +
    20
    +
    21#include "PALSoftmaxCommon.h"
    +
    22
    +
    23namespace onert_micro
    +
    24{
    +
    25namespace execute
    +
    26{
    +
    27namespace pal
    +
    28{
    +
    29
    +
    +
    30OMStatus Softmax(const core::SoftmaxParams &params, const int8_t *input_data, int8_t *output_data)
    +
    31{
    +
    32 assert(false && "Not supported now");
    +
    33 return UnsupportedType;
    +
    34}
    +
    +
    35
    +
    +
    36OMStatus Softmax(const core::SoftmaxParams &params, const int8_t *input_data, int16_t *output_data)
    +
    37{
    +
    38 assert(false && "Not supported now");
    +
    39 return UnsupportedType;
    +
    40}
    +
    +
    41
    +
    +
    42OMStatus Softmax(const core::SoftmaxParams &params, const int16_t *input_data, int16_t *output_data)
    +
    43{
    +
    44 assert(false && "Not supported now");
    +
    45 return UnsupportedType;
    +
    46}
    +
    +
    47
    +
    48} // namespace pal
    +
    49} // namespace execute
    +
    50} // namespace onert_micro
    +
    51
    +
    52#endif // ONERT_MICRO_EXECUTE_PAL_SOFTMAX_H
    +
    OMStatus Softmax(const core::SoftmaxParams &params, const float *input_data, float *output_data)
    + + +
    @ UnsupportedType
    Definition OMStatus.h:26
    + +
    +
    + + + + diff --git a/onert-micro_2onert-micro_2src_2execute_2kernels_2conv2d_8cpp.html b/onert-micro_2onert-micro_2src_2execute_2kernels_2_conv2_d_8cpp.html similarity index 95% rename from onert-micro_2onert-micro_2src_2execute_2kernels_2conv2d_8cpp.html rename to onert-micro_2onert-micro_2src_2execute_2kernels_2_conv2_d_8cpp.html index 9a857e374a6..acdd062442c 100644 --- a/onert-micro_2onert-micro_2src_2execute_2kernels_2conv2d_8cpp.html +++ b/onert-micro_2onert-micro_2src_2execute_2kernels_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -100,13 +100,13 @@ #include "execute/OMRuntimeKernel.h"
    #include "PALConv2d.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    diff --git a/onert-micro_2onert-micro_2src_2execute_2kernels_2conv2d_8cpp_source.html b/onert-micro_2onert-micro_2src_2execute_2kernels_2_conv2_d_8cpp_source.html similarity index 99% rename from onert-micro_2onert-micro_2src_2execute_2kernels_2conv2d_8cpp_source.html rename to onert-micro_2onert-micro_2src_2execute_2kernels_2_conv2_d_8cpp_source.html index b810d58fbfb..e379cd164c4 100644 --- a/onert-micro_2onert-micro_2src_2execute_2kernels_2conv2d_8cpp_source.html +++ b/onert-micro_2onert-micro_2src_2execute_2kernels_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -281,7 +281,7 @@ diff --git a/onert-micro_2onert-micro_2src_2execute_2kernels_2_softmax_8cpp.html b/onert-micro_2onert-micro_2src_2execute_2kernels_2_softmax_8cpp.html new file mode 100644 index 00000000000..a4fcf9075eb --- /dev/null +++ b/onert-micro_2onert-micro_2src_2execute_2kernels_2_softmax_8cpp.html @@ -0,0 +1,112 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/src/execute/kernels/Softmax.cpp File Reference + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
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    +
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    +
    +
    Loading...
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    +
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    +
    +
    +
    +
    + +
    +
    Softmax.cpp File Reference
    +
    +
    +
    #include "OMStatus.h"
    +#include "core/OMUtils.h"
    +#include "execute/OMKernelExecutionBuilder.h"
    +#include "execute/OMRuntimeKernel.h"
    +#include "PALSoftmax.h"
    +
    +

    Go to the source code of this file.

    +
    +
    + + + + diff --git a/onert-micro_2onert-micro_2src_2execute_2kernels_2_softmax_8cpp_source.html b/onert-micro_2onert-micro_2src_2execute_2kernels_2_softmax_8cpp_source.html new file mode 100644 index 00000000000..014adcc536e --- /dev/null +++ b/onert-micro_2onert-micro_2src_2execute_2kernels_2_softmax_8cpp_source.html @@ -0,0 +1,258 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/src/execute/kernels/Softmax.cpp Source File + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +
    Softmax.cpp
    +
    +
    +Go to the documentation of this file.
    1/*
    +
    2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
    +
    3 *
    +
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    +
    5 * you may not use this file except in compliance with the License.
    +
    6 * You may obtain a copy of the License at
    +
    7 *
    +
    8 * http://www.apache.org/licenses/LICENSE-2.0
    +
    9 *
    +
    10 * Unless required by applicable law or agreed to in writing, software
    +
    11 * distributed under the License is distributed on an "AS IS" BASIS,
    +
    12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    +
    13 * See the License for the specific language governing permissions and
    +
    14 * limitations under the License.
    +
    15 */
    +
    16
    +
    17#include "OMStatus.h"
    +
    18
    +
    19#include "core/OMUtils.h"
    +
    20
    + + +
    23
    +
    24#include "PALSoftmax.h"
    +
    25
    +
    26using namespace onert_micro;
    +
    27using namespace onert_micro::execute;
    +
    28
    +
    29namespace
    +
    30{
    +
    31
    +
    32constexpr uint32_t inputTensorIdx = 0;
    +
    33constexpr uint32_t outputTensorIdx = 0;
    +
    34
    +
    35} // namespace
    +
    36
    +
    37// NOTE: doesnt currently support dynamic shapes
    +
    38OMStatus onert_micro::execute::execute_kernel_CircleSoftmax(const OMExecuteArgs &execute_args)
    +
    39{
    +
    40 core::OMRuntimeContext &runtime_context = execute_args.runtime_context;
    +
    41 core::OMRuntimeStorage &runtime_storage = execute_args.runtime_storage;
    +
    42 uint16_t op_index = execute_args.kernel_index;
    +
    43
    +
    44 const circle::Tensor *input = nullptr;
    +
    45 const circle::Tensor *output = nullptr;
    +
    46
    +
    47 uint8_t *input_data = nullptr;
    +
    48 uint8_t *output_data = nullptr;
    +
    49
    +
    50 OMStatus status = Ok;
    +
    51
    +
    52 const circle::SoftmaxOptions *options;
    +
    53 {
    +
    54 OMRuntimeKernel runtime_kernel;
    +
    55 runtime_kernel.readKernel(op_index, runtime_context);
    +
    56
    +
    57 input = runtime_kernel.inputs[inputTensorIdx];
    +
    58 output = runtime_kernel.outputs[outputTensorIdx];
    +
    59
    +
    60 assert(input != nullptr);
    +
    61 assert(output != nullptr);
    +
    62
    +
    63 status = runtime_kernel.getDataFromStorage(op_index, runtime_storage, runtime_context);
    +
    64 if (status != Ok)
    +
    65 return status;
    +
    66
    +
    67 input_data = runtime_kernel.inputs_data[inputTensorIdx];
    +
    68 output_data = runtime_kernel.outputs_data[outputTensorIdx];
    +
    69
    +
    70 options = runtime_kernel.first_operator->builtin_options_as_SoftmaxOptions();
    +
    71 }
    +
    72
    +
    73 assert(input_data != nullptr);
    +
    74 assert(output_data != nullptr);
    +
    75
    +
    76 switch (input->type())
    +
    77 {
    +
    78#ifndef DIS_FLOAT
    +
    79 case circle::TensorType_FLOAT32:
    +
    80 {
    +
    81 const float beta = options->beta();
    +
    82
    +
    83 core::OMRuntimeShape inputs_shape(input);
    +
    84 core::OMRuntimeShape outputs_shape(output);
    +
    85
    +
    86 const auto dim_count = inputs_shape.dimensionsCount();
    +
    87
    +
    88 const auto trailing_dim = dim_count - 1;
    +
    89
    +
    90 int flat_size = 1;
    +
    91 for (int i = 0; i < inputs_shape.dimensionsCount(); ++i)
    +
    92 {
    +
    93 flat_size *= (i == trailing_dim) ? 1 : inputs_shape.dims(i);
    +
    94 }
    +
    95
    + +
    97 params.beta = beta;
    +
    98 params.num_rows = flat_size;
    +
    99 params.row_size = std::min(inputs_shape.dims(trailing_dim), outputs_shape.dims(trailing_dim));
    +
    100
    +
    101 status = pal::Softmax(params, core::utils::castInputData<float>(input_data),
    +
    102 core::utils::castOutputData<float>(output_data));
    +
    103 }
    +
    104 break;
    +
    105#endif // DIS_FLOAT
    +
    106 default:
    +
    107 {
    +
    108 status = UnsupportedType;
    +
    109 assert(false && "Unsupported type.");
    +
    110 }
    +
    111 }
    +
    112
    +
    113 return status;
    +
    114}
    + + + + + + + +
    uint8_t * outputs_data[maxOutputSize]
    +
    const circle::Operator * first_operator
    +
    OMStatus getDataFromStorage(uint16_t op_index, core::OMRuntimeStorage &storage, core::OMRuntimeContext &context)
    + +
    OMStatus readKernel(uint16_t op_index, core::OMRuntimeContext &runtime_context)
    +
    const circle::Tensor * outputs[maxOutputSize]
    +
    const circle::Tensor * inputs[maxInputSize]
    + + + +
    OMStatus Softmax(const core::SoftmaxParams &params, const float *input_data, float *output_data)
    + + + + +
    @ UnsupportedType
    Definition OMStatus.h:26
    + + + + + + + + + +
    core::OMRuntimeContext & runtime_context
    +
    core::OMRuntimeStorage & runtime_storage
    +
    +
    + + + + diff --git a/onert-micro_2onert-micro_2src_2import_2kernels_2conv2d_8cpp.html b/onert-micro_2onert-micro_2src_2import_2kernels_2_conv2_d_8cpp.html similarity index 95% rename from onert-micro_2onert-micro_2src_2import_2kernels_2conv2d_8cpp.html rename to onert-micro_2onert-micro_2src_2import_2kernels_2_conv2_d_8cpp.html index d32f99b31de..13b2662dfcb 100644 --- a/onert-micro_2onert-micro_2src_2import_2kernels_2conv2d_8cpp.html +++ b/onert-micro_2onert-micro_2src_2import_2kernels_2_conv2_d_8cpp.html @@ -63,7 +63,7 @@
    @@ -99,13 +99,13 @@ #include "execute/OMRuntimeKernel.h"
    #include "execute/OMUtils.h"
    -

    Go to the source code of this file.

    +

    Go to the source code of this file.

    diff --git a/onert-micro_2onert-micro_2src_2import_2kernels_2conv2d_8cpp_source.html b/onert-micro_2onert-micro_2src_2import_2kernels_2_conv2_d_8cpp_source.html similarity index 98% rename from onert-micro_2onert-micro_2src_2import_2kernels_2conv2d_8cpp_source.html rename to onert-micro_2onert-micro_2src_2import_2kernels_2_conv2_d_8cpp_source.html index 064a8fbdd7e..d626a8b8016 100644 --- a/onert-micro_2onert-micro_2src_2import_2kernels_2conv2d_8cpp_source.html +++ b/onert-micro_2onert-micro_2src_2import_2kernels_2_conv2_d_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Conv2D.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -214,7 +214,7 @@ diff --git a/onert-micro_2onert-micro_2src_2import_2kernels_2_softmax_8cpp.html b/onert-micro_2onert-micro_2src_2import_2kernels_2_softmax_8cpp.html new file mode 100644 index 00000000000..b8478b1658d --- /dev/null +++ b/onert-micro_2onert-micro_2src_2import_2kernels_2_softmax_8cpp.html @@ -0,0 +1,111 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/src/import/kernels/Softmax.cpp File Reference + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +
    Softmax.cpp File Reference
    +
    + +
    + + + + diff --git a/onert-micro_2onert-micro_2src_2import_2kernels_2_softmax_8cpp_source.html b/onert-micro_2onert-micro_2src_2import_2kernels_2_softmax_8cpp_source.html new file mode 100644 index 00000000000..6c309b8fde3 --- /dev/null +++ b/onert-micro_2onert-micro_2src_2import_2kernels_2_softmax_8cpp_source.html @@ -0,0 +1,212 @@ + + + + + + + +ONE - On-device Neural Engine: onert-micro/onert-micro/src/import/kernels/Softmax.cpp Source File + + + + + + + + + + + + + +
    +
    + + + + + + +
    +
    ONE - On-device Neural Engine +
    +
    +
    + + + + + + + + +
    +
    + +
    +
    +
    + +
    + +
    +
    + + +
    +
    +
    +
    +
    +
    Loading...
    +
    Searching...
    +
    No Matches
    +
    +
    +
    +
    + +
    +
    Softmax.cpp
    +
    +
    +Go to the documentation of this file.
    1/*
    +
    2 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
    +
    3 *
    +
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    +
    5 * you may not use this file except in compliance with the License.
    +
    6 * You may obtain a copy of the License at
    +
    7 *
    +
    8 * http://www.apache.org/licenses/LICENSE-2.0
    +
    9 *
    +
    10 * Unless required by applicable law or agreed to in writing, software
    +
    11 * distributed under the License is distributed on an "AS IS" BASIS,
    +
    12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    +
    13 * See the License for the specific language governing permissions and
    +
    14 * limitations under the License.
    +
    15 */
    +
    16
    +
    17#include "OMStatus.h"
    +
    18
    +
    19#include "core/OMUtils.h"
    +
    20
    + +
    22
    + +
    24
    +
    25using namespace onert_micro;
    +
    26using namespace onert_micro::core;
    +
    27
    +
    28namespace
    +
    29{
    +
    30
    +
    31constexpr uint32_t inputTensorIdx = 0;
    +
    32constexpr uint32_t outputTensorIdx = 0;
    +
    33
    +
    34} // namespace
    +
    35
    +
    36OMStatus onert_micro::import::configure_kernel_CircleSoftmax(const OMConfigureArgs &config_args)
    +
    37{
    +
    38 OMRuntimeContext &runtime_context = config_args.runtime_context;
    +
    39 uint16_t op_index = config_args.kernel_index;
    +
    40
    + +
    42
    +
    43 OMStatus status = runtime_kernel.readKernel(op_index, runtime_context);
    +
    44 if (status != Ok)
    +
    45 return status;
    +
    46
    +
    47 const circle::Tensor *input = runtime_kernel.inputs[inputTensorIdx];
    +
    48 const circle::Tensor *output = runtime_kernel.outputs[outputTensorIdx];
    +
    49
    +
    50 assert(input != nullptr);
    +
    51 assert(output != nullptr);
    +
    52
    +
    53 status = utils::checkCondition(input->type() == output->type());
    +
    54 if (status != Ok)
    +
    55 return status;
    +
    56
    +
    57 OMRuntimeShape input_shape(input);
    + +
    59
    +
    60 status = utils::checkCondition(input_shape.dimensionsCount() == output_shape.dimensionsCount());
    +
    61 if (status != Ok)
    +
    62 return status;
    +
    63
    +
    64 status = utils::checkCondition(input_shape.dimensionsCount() >= 1);
    +
    65 if (status != Ok)
    +
    66 return status;
    +
    67
    +
    68 if (input->type() != circle::TensorType_INT8 and input->type() != circle::TensorType_INT16 and
    +
    69 input->type() != circle::TensorType_UINT8)
    +
    70 return status;
    +
    71
    +
    72 // Check quantized version
    +
    73 if (input->quantization() == nullptr or output->quantization() == nullptr)
    +
    74 return NoQuantization;
    +
    75
    +
    76 if (output->quantization()->scale() == nullptr or output->quantization()->scale()->size() != 1)
    +
    77 return NoQuantization;
    +
    78
    +
    79 if (input->quantization()->scale() == nullptr or input->quantization()->scale()->size() != 1)
    +
    80 return NoQuantization;
    +
    81
    +
    82 return status;
    +
    83}
    + + + +
    const luci_interpreter::RuntimeShape output_shape
    +
    int32_t dimensionsCount() const
    Definition Tensor.h:106
    + + + +
    OMStatus readKernel(uint16_t op_index, core::OMRuntimeContext &runtime_context)
    +
    const circle::Tensor * outputs[maxOutputSize]
    +
    const circle::Tensor * inputs[maxInputSize]
    + + + + + + + +
    @ NoQuantization
    Definition OMStatus.h:33
    +
    +
    + + + + diff --git a/onnx2circle_8cpp_source.html b/onnx2circle_8cpp_source.html index 91e03628a16..f78ace30693 100644 --- a/onnx2circle_8cpp_source.html +++ b/onnx2circle_8cpp_source.html @@ -176,7 +176,7 @@
    75#define INFO(name) HERMES_INFO(name)
    76
    -
    77int main(int argc, char **argv)
    +
    77int main(int argc, char **argv)
    78{
    80
    @@ -232,7 +232,7 @@
    KnobTrait< K >::ValueType get(void)
    std::unique_ptr< mir::Graph > loadModel(const std::string &filename)
    -
    int main()
    Definition main.cpp:58
    +
    int main()
    Definition main.cpp:58
    #define LOGGER(name)
    #define INFO(name)
    static hermes::Context * get(void)
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qual::configure()'],['../classluci__interpreter_1_1kernels_1_1_minimum.html#a117709cc1180fac638d3f05d942d0366',1,'luci_interpreter::kernels::Minimum::configure()'],['../classluci__interpreter_1_1kernels_1_1_p_relu.html#a9fc9d1a769e922277e2d22092a4dfd4a',1,'luci_interpreter::kernels::PRelu::configure()'],['../classluci__interpreter_1_1kernels_1_1_pow.html#a6f4112e692dfaf7303c4982c78d14ea3',1,'luci_interpreter::kernels::Pow::configure()'],['../classluci__interpreter_1_1kernels_1_1_pad_v2.html#ab5456f41d3c0fa11760cada737e72416',1,'luci_interpreter::kernels::PadV2::configure()'],['../classluci__interpreter_1_1kernels_1_1_pad.html#a49d21406c74bbfe4b5697e5a4a613f0f',1,'luci_interpreter::kernels::Pad::configure()'],['../classluci__interpreter_1_1kernels_1_1_pack.html#aaa17b097ad007ed78ce3fbf212dbae15',1,'luci_interpreter::kernels::Pack::configure()'],['../classluci__interpreter_1_1kernels_1_1_one_hot.html#ae614fbbc102175458f8038b8a21b4f5a',1,'luci_interpreter::kernels::OneHot::configure()'],['../classluci__interpreter_1_1kernels_1_1_not_equal.html#a24c05913252c5aa61c35a5cfb5445c34',1,'luci_interpreter::kernels::NotEqual::configure()'],['../classluci__interpreter_1_1kernels_1_1_neg.html#a9397cb03b8c47e0c1226fe9b0af1a646',1,'luci_interpreter::kernels::Neg::configure()'],['../classluci__interpreter_1_1kernels_1_1_mul.html#a271c37c68de22360de62d42b3db18449',1,'luci_interpreter::kernels::Mul::configure()'],['../classluci__interpreter_1_1kernels_1_1_mirror_pad.html#abf65a81831fabb81c79dcba67b7be63a',1,'luci_interpreter::kernels::MirrorPad::configure()'],['../classluci__interpreter_1_1_runtime_graph.html#a540cdda07a3610e5bcc93b286728d3c4',1,'luci_interpreter::RuntimeGraph::configure()'],['../classluci__interpreter_1_1kernels_1_1_mean.html#ae238e6940cb2fa67d549ace91ce2b57c',1,'luci_interpreter::kernels::Mean::configure()'],['../classluci__interpreter_1_1kernels_1_1_max_pool2_d.html#a5968d86450e353b4f3283c7a054218fe',1,'luci_interpreter::kernels::MaxPool2D::configure()'],['../classluci__interpreter_1_1kernels_1_1_maximum.html#a3dbd3e5b71e3749bc72d2594fd83ecff',1,'luci_interpreter::kernels::Maximum::configure()'],['../classluci__interpreter_1_1kernels_1_1_log_softmax.html#a2a82f76ecc1381b00956d2408dc918ae',1,'luci_interpreter::kernels::LogSoftmax::configure()'],['../classluci__interpreter_1_1kernels_1_1_logistic.html#ab809dbabf4a6e8536b4ac13546a3a6a2',1,'luci_interpreter::kernels::Logistic::configure()'],['../classluci__interpreter_1_1kernels_1_1_logical_or.html#a7609cf40ab4bf0a002e2543257e58b93',1,'luci_interpreter::kernels::LogicalOr::configure()'],['../classluci__interpreter_1_1kernels_1_1_logical_not.html#a73ef7dbf2ae5b7083d90499f435efe68',1,'luci_interpreter::kernels::LogicalNot::configure()'],['../classluci__interpreter_1_1kernels_1_1_logical_and.html#a8ddef655abfe7f875325dfa6154f39ea',1,'luci_interpreter::kernels::LogicalAnd::configure()'],['../classluci__interpreter_1_1kernels_1_1_log.html#a063ea3ce8198068e5b3441e8cf3d6bef',1,'luci_interpreter::kernels::Log::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_rank_layer.html#aba291c664edd19c7b18c11d5c1e180c2',1,'onert::backend::cpu::ops::RankLayer::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_l_s_t_m_layer.html#aac4981a87b460f58f8db5f99f657b2a3',1,'onert::backend::cpu::ops::LSTMLayer::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_matrix_band_part_layer.html#a439526fd0bf00ce98d9607da100894b3',1,'onert::backend::cpu::ops::MatrixBandPartLayer::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_mean_layer.html#a4a49e8b564adcce38fb5b3e3c11c603b',1,'onert::backend::cpu::ops::MeanLayer::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_one_hot_layer.html#ae16fc3d22a5c577d7afde8145c9cb8b7',1,'onert::backend::cpu::ops::OneHotLayer::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_pack_layer.html#a7b3b3e6a108270cb530c59927bc9d2c1',1,'onert::backend::cpu::ops::PackLayer::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_pad_layer.html#acef5151dff74b571857de938a0eb65b9',1,'onert::backend::cpu::ops::PadLayer::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_pool_layer.html#a6c3da2f1736214278d405dd571d209a8',1,'onert::backend::cpu::ops::PoolLayer::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_pow_layer.html#a59315d2f130f36106e27f8cc12ea752e',1,'onert::backend::cpu::ops::PowLayer::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_quantize_layer.html#a381f7b9d6cf85ffd08107239c1ad8680',1,'onert::backend::cpu::ops::QuantizeLayer::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_range_layer.html#a85a9e3a64c646f79bff66a253e037efe',1,'onert::backend::cpu::ops::RangeLayer::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_log_soft_max_layer.html#a45831eb7d431343cb3ade059232111b4',1,'onert::backend::cpu::ops::LogSoftMaxLayer::configure()'],['../classonert_1_1backend_1_1cpu_1_1ops_1_1_reduce_layer.html#aa543fa933d84bd9574698b4ef8548da6',1,'onert::backend::cpu::ops::Reduc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    diff --git a/souschef_2src_2_dims_8cpp_source.html b/souschef_2src_2dims_8cpp_source.html similarity index 94% rename from souschef_2src_2_dims_8cpp_source.html rename to souschef_2src_2dims_8cpp_source.html index 2ef368428d3..60fd660bb79 100644 --- a/souschef_2src_2_dims_8cpp_source.html +++ b/souschef_2src_2dims_8cpp_source.html @@ -68,7 +68,7 @@
    @@ -97,7 +97,7 @@
    Dims.cpp
    -Go to the documentation of this file.
    1/*
    +Go to the documentation of this file.
    1/*
    2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
    3 *
    4 * Licensed under the Apache License, Version 2.0 (the "License");
    @@ -122,7 +122,7 @@ diff --git a/struct_a_neural_networks_compilation.html b/struct_a_neural_networks_compilation.html index dfc8fa656c9..7b9c9ff5f48 100644 --- a/struct_a_neural_networks_compilation.html +++ b/struct_a_neural_networks_compilation.html @@ -255,7 +255,7 @@

    39 executors = _artifact ? _artifact->_executors : nullptr;

    40 }
    -

    Referenced by ANeuralNetworksExecution_create().

    +

    Referenced by ANeuralNetworksExecution_create().

    diff --git a/struct_a_neural_networks_execution.html b/struct_a_neural_networks_execution.html index 7d2ab291828..053fde61e05 100644 --- a/struct_a_neural_networks_execution.html +++ b/struct_a_neural_networks_execution.html @@ -232,7 +232,7 @@

    References NNAPIConvert::getTypeInfo(), and VERBOSE.

    -

    Referenced by ANeuralNetworksExecution_setInput(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    +

    Referenced by ANeuralNetworksExecution_setInput(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    @@ -288,7 +288,7 @@

    References NNAPIConvert::getShape().

    -

    Referenced by ANeuralNetworksExecution_setInput(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    +

    Referenced by ANeuralNetworksExecution_setInput(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    @@ -334,7 +334,7 @@

    References VERBOSE.

    -

    Referenced by ANeuralNetworksExecution_compute().

    +

    Referenced by ANeuralNetworksExecution_compute().

    @@ -385,7 +385,7 @@

    input_index
    loco::GraphInputIndex index(const TFPlaceholder *node)
    Definition TFNode.cpp:54
    -

    Referenced by ANeuralNetworksExecution_setInput(), and ANeuralNetworksExecution_setInputFromMemory().

    +

    Referenced by ANeuralNetworksExecution_setInput(), and ANeuralNetworksExecution_setInputFromMemory().

    @@ -429,7 +429,7 @@

    References VERBOSE.

    -

    Referenced by ANeuralNetworksExecution_setInput(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    +

    Referenced by ANeuralNetworksExecution_setInput(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    @@ -512,7 +512,7 @@

    References VERBOSE.

    -

    Referenced by ANeuralNetworksExecution_getOutputOperandDimensions().

    +

    Referenced by ANeuralNetworksExecution_getOutputOperandDimensions().

    @@ -560,7 +560,7 @@

    59 return operand_index;
    60}
    -

    Referenced by ANeuralNetworksExecution_getOutputOperandDimensions(), ANeuralNetworksExecution_getOutputOperandRank(), ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    +

    Referenced by ANeuralNetworksExecution_getOutputOperandDimensions(), ANeuralNetworksExecution_getOutputOperandRank(), ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    @@ -640,7 +640,7 @@

    References VERBOSE.

    -

    Referenced by ANeuralNetworksExecution_getOutputOperandRank().

    +

    Referenced by ANeuralNetworksExecution_getOutputOperandRank().

    @@ -675,7 +675,7 @@

    116 return operand_shape.hasUnspecifiedDims();
    117}
    -

    Referenced by ANeuralNetworksExecution_setInput(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    +

    Referenced by ANeuralNetworksExecution_setInput(), ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    @@ -708,7 +708,7 @@

    263 return _execution;
    264}
    -

    Referenced by ANeuralNetworksExecution_startCompute().

    +

    Referenced by ANeuralNetworksExecution_startCompute().

    @@ -747,7 +747,7 @@

    109 return true;
    110}
    -

    Referenced by ANeuralNetworksExecution_setInput().

    +

    Referenced by ANeuralNetworksExecution_setInput().

    @@ -830,7 +830,7 @@

    References NNAPIConvert::getShape(), onert::ir::NHWC, and VERBOSE.

    -

    Referenced by ANeuralNetworksExecution_setInput(), and ANeuralNetworksExecution_setInputFromMemory().

    +

    Referenced by ANeuralNetworksExecution_setInput(), and ANeuralNetworksExecution_setInputFromMemory().

    @@ -922,7 +922,7 @@

    References ANeuralNetworksOperandType::dimensionCount, ANeuralNetworksOperandType::dimensions, NNAPIConvert::getShape(), and VERBOSE.

    -

    Referenced by ANeuralNetworksExecution_setInput().

    +

    Referenced by ANeuralNetworksExecution_setInput().

    @@ -1003,7 +1003,7 @@

    References NNAPIConvert::getShape(), onert::ir::NHWC, and VERBOSE.

    -

    Referenced by ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    +

    Referenced by ANeuralNetworksExecution_setOutput(), and ANeuralNetworksExecution_setOutputFromMemory().

    @@ -1049,7 +1049,7 @@

    References VERBOSE.

    -

    Referenced by ANeuralNetworksExecution_startCompute().

    +

    Referenced by ANeuralNetworksExecution_startCompute().

    diff --git a/struct_a_neural_networks_memory.html b/struct_a_neural_networks_memory.html index bbb5c3c2551..8280d6c86ec 100644 --- a/struct_a_neural_networks_memory.html +++ b/struct_a_neural_networks_memory.html @@ -214,7 +214,7 @@

    Definition at line 30 of file ANeuralNetworksMemory.h.

    30{ return _base; }
    -

    Referenced by ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutputFromMemory(), and ANeuralNetworksModel_setOperandValueFromMemory().

    +

    Referenced by ANeuralNetworksExecution_setInputFromMemory(), ANeuralNetworksExecution_setOutputFromMemory(), and ANeuralNetworksModel_setOperandValueFromMemory().

    @@ -321,7 +321,7 @@

    References offset().

    -

    Referenced by ANeuralNetworksExecution_setInputFromMemory(), and ANeuralNetworksExecution_setOutputFromMemory().

    +

    Referenced by ANeuralNetworksExecution_setInputFromMemory(), and ANeuralNetworksExecution_setOutputFromMemory().

    diff --git a/struct_conv2_d_chef_factory.html b/struct_conv2_d_chef_factory.html index b844407136e..ea9cd7fda08 100644 --- a/struct_conv2_d_chef_factory.html +++ b/struct_conv2_d_chef_factory.html @@ -147,7 +147,7 @@

    OpChefFactory.

    -

    Definition at line 44 of file Conv2D.cpp.

    +

    Definition at line 44 of file Conv2D.cpp.

    45{
    46 return std::unique_ptr<OpChef>{new Conv2DChef{operation}};
    47}
    @@ -157,7 +157,7 @@

    Conv2D.h -
  • compiler/tflchef/core/src/Op/Conv2D.cpp
  • +
  • compiler/tflchef/core/src/Op/Conv2D.cpp
  • diff --git a/struct_conv_backend.html b/struct_conv_backend.html index 937655f80af..da2b8d7144e 100644 --- a/struct_conv_backend.html +++ b/struct_conv_backend.html @@ -238,7 +238,7 @@

    145} -
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    +
    Dims< uint32_t > as_dims(const nncc::core::ADT::tensor::Shape &)
    Definition dims.cpp:24
    uint32_t num_elements(const Shape &shape)
    The number of elements of a feature map of a given shape.
    Definition Shape.h:59
    uint32_t num_elements(const Shape &shape)
    Return the number of elements in a kernel of a given shape.
    Definition Shape.h:61
    Overlay< T, T * > make_overlay(const Shape &shape, T *base)
    Definition Overlay.h:71
    diff --git a/struct_e_l_u_chef_factory.html b/struct_e_l_u_chef_factory.html index aec51940170..b5793901e1a 100644 --- a/struct_e_l_u_chef_factory.html +++ b/struct_e_l_u_chef_factory.html @@ -147,7 +147,7 @@

    OpChefFactory.

    -

    Definition at line 24 of file ELU.cpp.

    +

    Definition at line 24 of file ELU.cpp.

    25{
    26 return std::unique_ptr<OpChef>{new ELUChef{operation}};
    27}
    @@ -157,7 +157,7 @@

    ELU.h -
  • compiler/tflchef/core/src/Op/ELU.cpp
  • +
  • compiler/tflchef/core/src/Op/ELU.cpp
  • diff --git a/struct_fully_connected_chef_factory.html b/struct_fully_connected_chef_factory.html index 1a8d4203d95..b72a7a6849d 100644 --- a/struct_fully_connected_chef_factory.html +++ b/struct_fully_connected_chef_factory.html @@ -95,7 +95,7 @@
    -

    #include <FullyConnected.h>

    +

    #include <FullyConnected.h>

    Collaboration diagram for FullyConnectedChefFactory:
    @@ -103,12 +103,15 @@ - + +
    [legend]
    + + @@ -119,10 +122,44 @@

    Public Member Functions

    std::unique_ptr< OpChefcreate (const circlechef::Operation *operation) const override
     
    std::unique_ptr< OpChefcreate (const tflchef::Operation *operation) const override
     
    - Public Member Functions inherited from OpChefFactory

    Detailed Description

    -

    Definition at line 47 of file FullyConnected.h.

    +

    Definition at line 47 of file FullyConnected.h.

    Member Function Documentation

    + +

    ◆ create() [1/2]

    + +
    +
    + + + + + +
    + + + + + + + + +
    std::unique_ptr< OpChef > FullyConnectedChefFactory::create (const circlechef::Operation * operation) const
    +
    +overridevirtual
    +
    + +

    Implements OpChefFactory.

    + +

    Definition at line 38 of file FullyConnected.cpp.

    +
    39{
    +
    40 return std::unique_ptr<OpChef>{new FullyConnectedChef{operation}};
    +
    41}
    + +
    +
    +
    -

    ◆ create()

    +

    ◆ create() [2/2]

    @@ -147,16 +184,12 @@

    OpChefFactory.

    -

    Definition at line 37 of file FullyConnected.cpp.

    -
    38{
    -
    39 return std::unique_ptr<OpChef>{new FullyConnectedChef{operation}};
    -
    40}
    - -


    The documentation for this struct was generated from the following files:
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    OpChefFactory.

    -

    Definition at line 31 of file LeakyRelu.cpp.

    +

    Definition at line 31 of file LeakyRelu.cpp.

    32{
    33 return std::unique_ptr<OpChef>{new LeakyReluChef{operation}};
    34}
    @@ -157,7 +157,7 @@

    LeakyRelu.h -
  • compiler/tflchef/core/src/Op/LeakyRelu.cpp
  • +
  • compiler/tflchef/core/src/Op/LeakyRelu.cpp
  • diff --git a/struct_op_chef.html b/struct_op_chef.html index 1e480058f29..7cc3ea4f2e3 100644 --- a/struct_op_chef.html +++ b/struct_op_chef.html @@ -199,7 +199,7 @@

    -

    Implemented in BatchMatMulChef, BCQFullyConnectedChef, BCQGatherChef, GRUChef, InstanceNormChef, AddV2Chef, AllChef, BatchMatMulV2Chef, BroadcastToChef, ErfChef, MatMulChef, MatrixBandPartChef, MaxPoolWithArgmaxChef, AbsChef, AddChef, AddNChef, ArgMaxChef, ArgMinChef, AveragePool2DChef, BatchMatMulChef, BatchToSpaceNDChef, BidirectionalSequenceLSTMChef, BroadcastToChef, CastChef, CeilChef, ConcatenationChef, Conv2DChef, CosChef, CumSumChef, DensifyChef, DepthToSpaceChef, DepthwiseConv2DChef, DequantizeChef, DivChef, ELUChef, EqualChef, ExpChef, ExpandDimsChef, FakeQuantChef, FillChef, FloorChef, FloorDivChef, FloorModChef, FullyConnectedChef, GatherChef, GatherNdChef, GeluChef, GreaterChef, GreaterEqualChef, HardSwishChef, IfChef, L2Normalize, L2Pool2DChef, LeakyReluChef, LessChef, LessEqualChef, LocalResponseNormalizationChef, LogChef, LogicalAndChef, LogicalNotChef, LogicalOrChef, LogisticChef, LogSoftmaxChef, MatrixDiagChef, MatrixSetDiagChef, MaximumChef, MaxPool2DChef, MeanChef, MinimumChef, MirrorPadChef, MulChef, NegChef, NonMaxSuppressionV4Chef, NonMaxSuppressionV5Chef, NotEqualChef, OneHotChef, PackChef, PadChef, PadV2Chef, PowChef, PReluChef, QuantizeChef, RangeChef, RankChef, ReduceAnyChef, ReduceMaxChef, ReduceMinChef, ReduceProdChef, ReLUChef, ReLU6Chef, ReLUN1To1Chef, ReshapeChef, ResizeBilinearChef, ResizeNearestNeighborChef, ReverseSequenceChef, ReverseV2Chef, RoundChef, RsqrtChef, ScatterNdChef, SegmentSumChef, SelectChef, SelectV2Chef, ShapeChef, SinChef, SliceChef, SoftmaxChef, SpaceToBatchNDChef, SpaceToDepthChef, SparseToDenseChef, SplitChef, SplitVChef, SqrtChef, SquareChef, SquaredDifferenceChef, SqueezeChef, StridedSliceChef, SubChef, SumChef, SVDFChef, TanhChef, TileChef, TopKV2Chef, TransposeChef, TransposeConvChef, UnidirectionalSequenceLSTMChef, UniqueChef, UnpackChef, WhereChef, WhileChef, and ZerosLikeChef.

    +

    Implemented in BatchMatMulChef, BCQFullyConnectedChef, BCQGatherChef, FullyConnectedChef, GRUChef, InstanceNormChef, AddV2Chef, AllChef, BatchMatMulV2Chef, BroadcastToChef, ErfChef, MatMulChef, MatrixBandPartChef, MaxPoolWithArgmaxChef, AbsChef, AddChef, AddNChef, ArgMaxChef, ArgMinChef, AveragePool2DChef, BatchMatMulChef, BatchToSpaceNDChef, BidirectionalSequenceLSTMChef, BroadcastToChef, CastChef, CeilChef, ConcatenationChef, Conv2DChef, CosChef, CumSumChef, DensifyChef, DepthToSpaceChef, DepthwiseConv2DChef, DequantizeChef, DivChef, ELUChef, EqualChef, ExpChef, ExpandDimsChef, FakeQuantChef, FillChef, FloorChef, FloorDivChef, FloorModChef, FullyConnectedChef, GatherChef, GatherNdChef, GeluChef, GreaterChef, GreaterEqualChef, HardSwishChef, IfChef, L2Normalize, L2Pool2DChef, LeakyReluChef, LessChef, LessEqualChef, LocalResponseNormalizationChef, LogChef, LogicalAndChef, LogicalNotChef, LogicalOrChef, LogisticChef, LogSoftmaxChef, MatrixDiagChef, MatrixSetDiagChef, MaximumChef, MaxPool2DChef, MeanChef, MinimumChef, MirrorPadChef, MulChef, NegChef, NonMaxSuppressionV4Chef, NonMaxSuppressionV5Chef, NotEqualChef, OneHotChef, PackChef, PadChef, PadV2Chef, PowChef, PReluChef, QuantizeChef, RangeChef, RankChef, ReduceAnyChef, ReduceMaxChef, ReduceMinChef, ReduceProdChef, ReLUChef, ReLU6Chef, ReLUN1To1Chef, ReshapeChef, ResizeBilinearChef, ResizeNearestNeighborChef, ReverseSequenceChef, ReverseV2Chef, RoundChef, RsqrtChef, ScatterNdChef, SegmentSumChef, SelectChef, SelectV2Chef, ShapeChef, SinChef, SliceChef, SoftmaxChef, SpaceToBatchNDChef, SpaceToDepthChef, SparseToDenseChef, SplitChef, SplitVChef, SqrtChef, SquareChef, SquaredDifferenceChef, SqueezeChef, StridedSliceChef, SubChef, SumChef, SVDFChef, TanhChef, TileChef, TopKV2Chef, TransposeChef, TransposeConvChef, UnidirectionalSequenceLSTMChef, UniqueChef, UnpackChef, WhereChef, WhileChef, and ZerosLikeChef.

    @@ -227,7 +227,7 @@

    -

    Implemented in BatchMatMulChef, BCQFullyConnectedChef, BCQGatherChef, GRUChef, InstanceNormChef, AddV2Chef, AllChef, BatchMatMulV2Chef, BroadcastToChef, ErfChef, MatMulChef, MatrixBandPartChef, MaxPoolWithArgmaxChef, AbsChef, AddChef, AddNChef, ArgMaxChef, ArgMinChef, AveragePool2DChef, BatchMatMulChef, BatchToSpaceNDChef, BidirectionalSequenceLSTMChef, BroadcastToChef, CastChef, CeilChef, ConcatenationChef, Conv2DChef, CosChef, CumSumChef, DensifyChef, DepthToSpaceChef, DepthwiseConv2DChef, DequantizeChef, DivChef, ELUChef, EqualChef, ExpChef, ExpandDimsChef, FakeQuantChef, FillChef, FloorChef, FloorDivChef, FloorModChef, FullyConnectedChef, GatherChef, GatherNdChef, GeluChef, GreaterChef, GreaterEqualChef, HardSwishChef, IfChef, L2Normalize, L2Pool2DChef, LeakyReluChef, LessChef, LessEqualChef, LocalResponseNormalizationChef, LogChef, LogicalAndChef, LogicalNotChef, LogicalOrChef, LogisticChef, LogSoftmaxChef, MatrixDiagChef, MatrixSetDiagChef, MaximumChef, MaxPool2DChef, MeanChef, MinimumChef, MirrorPadChef, MulChef, NegChef, NonMaxSuppressionV4Chef, NonMaxSuppressionV5Chef, NotEqualChef, OneHotChef, PackChef, PadChef, PadV2Chef, PowChef, PReluChef, QuantizeChef, RangeChef, RankChef, ReduceAnyChef, ReduceMaxChef, ReduceMinChef, ReduceProdChef, ReLUChef, ReLU6Chef, ReLUN1To1Chef, ReshapeChef, ResizeBilinearChef, ResizeNearestNeighborChef, ReverseSequenceChef, ReverseV2Chef, RoundChef, RsqrtChef, ScatterNdChef, SegmentSumChef, SelectChef, SelectV2Chef, ShapeChef, SinChef, SliceChef, SoftmaxChef, SpaceToBatchNDChef, SpaceToDepthChef, SparseToDenseChef, SplitChef, SplitVChef, SqrtChef, SquareChef, SquaredDifferenceChef, SqueezeChef, StridedSliceChef, SubChef, SumChef, SVDFChef, TanhChef, TileChef, TopKV2Chef, TransposeChef, TransposeConvChef, UnidirectionalSequenceLSTMChef, UniqueChef, UnpackChef, WhereChef, WhileChef, and ZerosLikeChef.

    +

    Implemented in BatchMatMulChef, BCQFullyConnectedChef, BCQGatherChef, FullyConnectedChef, GRUChef, InstanceNormChef, AddV2Chef, AllChef, BatchMatMulV2Chef, BroadcastToChef, ErfChef, MatMulChef, MatrixBandPartChef, MaxPoolWithArgmaxChef, AbsChef, AddChef, AddNChef, ArgMaxChef, ArgMinChef, AveragePool2DChef, BatchMatMulChef, BatchToSpaceNDChef, BidirectionalSequenceLSTMChef, BroadcastToChef, CastChef, CeilChef, ConcatenationChef, Conv2DChef, CosChef, CumSumChef, DensifyChef, DepthToSpaceChef, DepthwiseConv2DChef, DequantizeChef, DivChef, ELUChef, EqualChef, ExpChef, ExpandDimsChef, FakeQuantChef, FillChef, FloorChef, FloorDivChef, FloorModChef, FullyConnectedChef, GatherChef, GatherNdChef, GeluChef, GreaterChef, GreaterEqualChef, HardSwishChef, IfChef, L2Normalize, L2Pool2DChef, LeakyReluChef, LessChef, LessEqualChef, LocalResponseNormalizationChef, LogChef, LogicalAndChef, LogicalNotChef, LogicalOrChef, LogisticChef, LogSoftmaxChef, MatrixDiagChef, MatrixSetDiagChef, MaximumChef, MaxPool2DChef, MeanChef, MinimumChef, MirrorPadChef, MulChef, NegChef, NonMaxSuppressionV4Chef, NonMaxSuppressionV5Chef, NotEqualChef, OneHotChef, PackChef, PadChef, PadV2Chef, PowChef, PReluChef, QuantizeChef, RangeChef, RankChef, ReduceAnyChef, ReduceMaxChef, ReduceMinChef, ReduceProdChef, ReLUChef, ReLU6Chef, ReLUN1To1Chef, ReshapeChef, ResizeBilinearChef, ResizeNearestNeighborChef, ReverseSequenceChef, ReverseV2Chef, RoundChef, RsqrtChef, ScatterNdChef, SegmentSumChef, SelectChef, SelectV2Chef, ShapeChef, SinChef, SliceChef, SoftmaxChef, SpaceToBatchNDChef, SpaceToDepthChef, SparseToDenseChef, SplitChef, SplitVChef, SqrtChef, SquareChef, SquaredDifferenceChef, SqueezeChef, StridedSliceChef, SubChef, SumChef, SVDFChef, TanhChef, TileChef, TopKV2Chef, TransposeChef, TransposeConvChef, UnidirectionalSequenceLSTMChef, UniqueChef, UnpackChef, WhereChef, WhileChef, and ZerosLikeChef.

    @@ -322,7 +322,7 @@

    -

    Implemented in BatchMatMulChef, BCQFullyConnectedChef, BCQGatherChef, GRUChef, InstanceNormChef, AddV2Chef, AllChef, BatchMatMulV2Chef, BroadcastToChef, ErfChef, MatMulChef, MatrixBandPartChef, MaxPoolWithArgmaxChef, AbsChef, AddChef, AddNChef, ArgMaxChef, ArgMinChef, AveragePool2DChef, BatchMatMulChef, BatchToSpaceNDChef, BidirectionalSequenceLSTMChef, BroadcastToChef, CastChef, CeilChef, ConcatenationChef, Conv2DChef, CosChef, CumSumChef, DensifyChef, DepthToSpaceChef, DepthwiseConv2DChef, DequantizeChef, DivChef, ELUChef, EqualChef, ExpChef, ExpandDimsChef, FakeQuantChef, FillChef, FloorChef, FloorDivChef, FloorModChef, FullyConnectedChef, GatherChef, GatherNdChef, GeluChef, GreaterChef, GreaterEqualChef, HardSwishChef, IfChef, L2Normalize, L2Pool2DChef, LeakyReluChef, LessChef, LessEqualChef, LocalResponseNormalizationChef, LogChef, LogicalAndChef, LogicalNotChef, LogicalOrChef, LogisticChef, LogSoftmaxChef, MatrixDiagChef, MatrixSetDiagChef, MaximumChef, MaxPool2DChef, MeanChef, MinimumChef, MirrorPadChef, MulChef, NegChef, NonMaxSuppressionV4Chef, NonMaxSuppressionV5Chef, NotEqualChef, OneHotChef, PackChef, PadChef, PadV2Chef, PowChef, PReluChef, QuantizeChef, RangeChef, RankChef, ReduceAnyChef, ReduceMaxChef, ReduceMinChef, ReduceProdChef, ReLUChef, ReLU6Chef, ReLUN1To1Chef, ReshapeChef, ResizeBilinearChef, ResizeNearestNeighborChef, ReverseSequenceChef, ReverseV2Chef, RoundChef, RsqrtChef, ScatterNdChef, SegmentSumChef, SelectChef, SelectV2Chef, ShapeChef, SinChef, SliceChef, SoftmaxChef, SpaceToBatchNDChef, SpaceToDepthChef, SparseToDenseChef, SplitChef, SplitVChef, SqrtChef, SquareChef, SquaredDifferenceChef, SqueezeChef, StridedSliceChef, SubChef, SumChef, SVDFChef, TanhChef, TileChef, TopKV2Chef, TransposeChef, TransposeConvChef, UnidirectionalSequenceLSTMChef, UniqueChef, UnpackChef, WhereChef, WhileChef, and ZerosLikeChef.

    +

    Implemented in BatchMatMulChef, BCQFullyConnectedChef, BCQGatherChef, FullyConnectedChef, GRUChef, InstanceNormChef, AddV2Chef, AllChef, BatchMatMulV2Chef, BroadcastToChef, ErfChef, MatMulChef, MatrixBandPartChef, MaxPoolWithArgmaxChef, AbsChef, AddChef, AddNChef, ArgMaxChef, ArgMinChef, AveragePool2DChef, BatchMatMulChef, BatchToSpaceNDChef, BidirectionalSequenceLSTMChef, BroadcastToChef, CastChef, CeilChef, ConcatenationChef, Conv2DChef, CosChef, CumSumChef, DensifyChef, DepthToSpaceChef, DepthwiseConv2DChef, DequantizeChef, DivChef, ELUChef, EqualChef, ExpChef, ExpandDimsChef, FakeQuantChef, FillChef, FloorChef, FloorDivChef, FloorModChef, FullyConnectedChef, GatherChef, GatherNdChef, GeluChef, GreaterChef, GreaterEqualChef, HardSwishChef, IfChef, L2Normalize, L2Pool2DChef, LeakyReluChef, LessChef, LessEqualChef, LocalResponseNormalizationChef, LogChef, LogicalAndChef, LogicalNotChef, LogicalOrChef, LogisticChef, LogSoftmaxChef, MatrixDiagChef, MatrixSetDiagChef, MaximumChef, MaxPool2DChef, MeanChef, MinimumChef, MirrorPadChef, MulChef, NegChef, NonMaxSuppressionV4Chef, NonMaxSuppressionV5Chef, NotEqualChef, OneHotChef, PackChef, PadChef, PadV2Chef, PowChef, PReluChef, QuantizeChef, RangeChef, RankChef, ReduceAnyChef, ReduceMaxChef, ReduceMinChef, ReduceProdChef, ReLUChef, ReLU6Chef, ReLUN1To1Chef, ReshapeChef, ResizeBilinearChef, ResizeNearestNeighborChef, ReverseSequenceChef, ReverseV2Chef, RoundChef, RsqrtChef, ScatterNdChef, SegmentSumChef, SelectChef, SelectV2Chef, ShapeChef, SinChef, SliceChef, SoftmaxChef, SpaceToBatchNDChef, SpaceToDepthChef, SparseToDenseChef, SplitChef, SplitVChef, SqrtChef, SquareChef, SquaredDifferenceChef, SqueezeChef, StridedSliceChef, SubChef, SumChef, SVDFChef, TanhChef, TileChef, TopKV2Chef, TransposeChef, TransposeConvChef, UnidirectionalSequenceLSTMChef, UniqueChef, UnpackChef, WhereChef, WhileChef, and ZerosLikeChef.

    @@ -350,7 +350,7 @@

    -

    Implemented in BatchMatMulChef, BCQFullyConnectedChef, BCQGatherChef, GRUChef, InstanceNormChef, AddV2Chef, AllChef, BatchMatMulV2Chef, BroadcastToChef, ErfChef, MatMulChef, MatrixBandPartChef, MaxPoolWithArgmaxChef, AbsChef, AddChef, AddNChef, ArgMaxChef, ArgMinChef, AveragePool2DChef, BatchMatMulChef, BatchToSpaceNDChef, BidirectionalSequenceLSTMChef, BroadcastToChef, CastChef, CeilChef, ConcatenationChef, Conv2DChef, CosChef, CumSumChef, DensifyChef, DepthToSpaceChef, DepthwiseConv2DChef, DequantizeChef, DivChef, ELUChef, EqualChef, ExpChef, ExpandDimsChef, FakeQuantChef, FillChef, FloorChef, FloorDivChef, FloorModChef, FullyConnectedChef, GatherChef, GatherNdChef, GeluChef, GreaterChef, GreaterEqualChef, HardSwishChef, IfChef, L2Normalize, L2Pool2DChef, LeakyReluChef, LessChef, LessEqualChef, LocalResponseNormalizationChef, LogChef, LogicalAndChef, LogicalNotChef, LogicalOrChef, LogisticChef, LogSoftmaxChef, MatrixDiagChef, MatrixSetDiagChef, MaximumChef, MaxPool2DChef, MeanChef, MinimumChef, MirrorPadChef, MulChef, NegChef, NonMaxSuppressionV4Chef, NonMaxSuppressionV5Chef, NotEqualChef, OneHotChef, PackChef, PadChef, PadV2Chef, PowChef, PReluChef, QuantizeChef, RangeChef, RankChef, ReduceAnyChef, ReduceMaxChef, ReduceMinChef, ReduceProdChef, ReLUChef, ReLU6Chef, ReLUN1To1Chef, ReshapeChef, ResizeBilinearChef, ResizeNearestNeighborChef, ReverseSequenceChef, ReverseV2Chef, RoundChef, RsqrtChef, ScatterNdChef, SegmentSumChef, SelectChef, SelectV2Chef, ShapeChef, SinChef, SliceChef, SoftmaxChef, SpaceToBatchNDChef, SpaceToDepthChef, SparseToDenseChef, SplitChef, SplitVChef, SqrtChef, SquareChef, SquaredDifferenceChef, SqueezeChef, StridedSliceChef, SubChef, SumChef, SVDFChef, TanhChef, TileChef, TopKV2Chef, TransposeChef, TransposeConvChef, UnidirectionalSequenceLSTMChef, UniqueChef, UnpackChef, WhereChef, WhileChef, and ZerosLikeChef.

    +

    Implemented in BatchMatMulChef, BCQFullyConnectedChef, BCQGatherChef, FullyConnectedChef, GRUChef, InstanceNormChef, AddV2Chef, AllChef, BatchMatMulV2Chef, BroadcastToChef, ErfChef, MatMulChef, MatrixBandPartChef, MaxPoolWithArgmaxChef, AbsChef, AddChef, AddNChef, ArgMaxChef, ArgMinChef, AveragePool2DChef, BatchMatMulChef, BatchToSpaceNDChef, BidirectionalSequenceLSTMChef, BroadcastToChef, CastChef, CeilChef, ConcatenationChef, Conv2DChef, CosChef, CumSumChef, DensifyChef, DepthToSpaceChef, DepthwiseConv2DChef, DequantizeChef, DivChef, ELUChef, EqualChef, ExpChef, ExpandDimsChef, FakeQuantChef, FillChef, FloorChef, FloorDivChef, FloorModChef, FullyConnectedChef, GatherChef, GatherNdChef, GeluChef, GreaterChef, GreaterEqualChef, HardSwishChef, IfChef, L2Normalize, L2Pool2DChef, LeakyReluChef, LessChef, LessEqualChef, LocalResponseNormalizationChef, LogChef, LogicalAndChef, LogicalNotChef, LogicalOrChef, LogisticChef, LogSoftmaxChef, MatrixDiagChef, MatrixSetDiagChef, MaximumChef, MaxPool2DChef, MeanChef, MinimumChef, MirrorPadChef, MulChef, NegChef, NonMaxSuppressionV4Chef, NonMaxSuppressionV5Chef, NotEqualChef, OneHotChef, PackChef, PadChef, PadV2Chef, PowChef, PReluChef, QuantizeChef, RangeChef, RankChef, ReduceAnyChef, ReduceMaxChef, ReduceMinChef, ReduceProdChef, ReLUChef, ReLU6Chef, ReLUN1To1Chef, ReshapeChef, ResizeBilinearChef, ResizeNearestNeighborChef, ReverseSequenceChef, ReverseV2Chef, RoundChef, RsqrtChef, ScatterNdChef, SegmentSumChef, SelectChef, SelectV2Chef, ShapeChef, SinChef, SliceChef, SoftmaxChef, SpaceToBatchNDChef, SpaceToDepthChef, SparseToDenseChef, SplitChef, SplitVChef, SqrtChef, SquareChef, SquaredDifferenceChef, SqueezeChef, StridedSliceChef, SubChef, SumChef, SVDFChef, TanhChef, TileChef, TopKV2Chef, TransposeChef, TransposeConvChef, UnidirectionalSequenceLSTMChef, UniqueChef, UnpackChef, WhereChef, WhileChef, and ZerosLikeChef.

    @@ -378,7 +378,7 @@

    -

    Implemented in BatchMatMulChef, BCQFullyConnectedChef, BCQGatherChef, GRUChef, InstanceNormChef, AddV2Chef, AllChef, BatchMatMulV2Chef, BroadcastToChef, ErfChef, MatMulChef, MatrixBandPartChef, MaxPoolWithArgmaxChef, AbsChef, AddChef, AddNChef, ArgMaxChef, ArgMinChef, AveragePool2DChef, BatchMatMulChef, BatchToSpaceNDChef, BidirectionalSequenceLSTMChef, BroadcastToChef, CastChef, CeilChef, ConcatenationChef, Conv2DChef, CosChef, CumSumChef, DensifyChef, DepthToSpaceChef, DepthwiseConv2DChef, DequantizeChef, DivChef, ELUChef, EqualChef, ExpChef, ExpandDimsChef, FakeQuantChef, FillChef, FloorChef, FloorDivChef, FloorModChef, FullyConnectedChef, GatherChef, GatherNdChef, GeluChef, GreaterChef, GreaterEqualChef, HardSwishChef, IfChef, L2Normalize, L2Pool2DChef, LeakyReluChef, LessChef, LessEqualChef, LocalResponseNormalizationChef, LogChef, LogicalAndChef, LogicalNotChef, LogicalOrChef, LogisticChef, LogSoftmaxChef, MatrixDiagChef, MatrixSetDiagChef, MaximumChef, MaxPool2DChef, MeanChef, MinimumChef, MirrorPadChef, MulChef, NegChef, NonMaxSuppressionV4Chef, NonMaxSuppressionV5Chef, NotEqualChef, OneHotChef, PackChef, PadChef, PadV2Chef, PowChef, PReluChef, QuantizeChef, RangeChef, RankChef, ReduceAnyChef, ReduceMaxChef, ReduceMinChef, ReduceProdChef, ReLUChef, ReLU6Chef, ReLUN1To1Chef, ReshapeChef, ResizeBilinearChef, ResizeNearestNeighborChef, ReverseSequenceChef, ReverseV2Chef, RoundChef, RsqrtChef, ScatterNdChef, SegmentSumChef, SelectChef, SelectV2Chef, ShapeChef, SinChef, SliceChef, SoftmaxChef, SpaceToBatchNDChef, SpaceToDepthChef, SparseToDenseChef, SplitChef, SplitVChef, SqrtChef, SquareChef, SquaredDifferenceChef, SqueezeChef, StridedSliceChef, SubChef, SumChef, SVDFChef, TanhChef, TileChef, TopKV2Chef, TransposeChef, TransposeConvChef, UnidirectionalSequenceLSTMChef, UniqueChef, UnpackChef, WhereChef, WhileChef, and ZerosLikeChef.

    +

    Implemented in BatchMatMulChef, BCQFullyConnectedChef, BCQGatherChef, FullyConnectedChef, GRUChef, InstanceNormChef, AddV2Chef, AllChef, BatchMatMulV2Chef, BroadcastToChef, ErfChef, MatMulChef, MatrixBandPartChef, MaxPoolWithArgmaxChef, AbsChef, AddChef, AddNChef, ArgMaxChef, ArgMinChef, AveragePool2DChef, BatchMatMulChef, BatchToSpaceNDChef, BidirectionalSequenceLSTMChef, BroadcastToChef, CastChef, CeilChef, ConcatenationChef, Conv2DChef, CosChef, CumSumChef, DensifyChef, DepthToSpaceChef, DepthwiseConv2DChef, DequantizeChef, DivChef, ELUChef, EqualChef, ExpChef, ExpandDimsChef, FakeQuantChef, FillChef, FloorChef, FloorDivChef, FloorModChef, FullyConnectedChef, GatherChef, GatherNdChef, GeluChef, GreaterChef, GreaterEqualChef, HardSwishChef, IfChef, L2Normalize, L2Pool2DChef, LeakyReluChef, LessChef, LessEqualChef, LocalResponseNormalizationChef, LogChef, LogicalAndChef, LogicalNotChef, LogicalOrChef, LogisticChef, LogSoftmaxChef, MatrixDiagChef, MatrixSetDiagChef, MaximumChef, MaxPool2DChef, MeanChef, MinimumChef, MirrorPadChef, MulChef, NegChef, NonMaxSuppressionV4Chef, NonMaxSuppressionV5Chef, NotEqualChef, OneHotChef, PackChef, PadChef, PadV2Chef, PowChef, PReluChef, QuantizeChef, RangeChef, RankChef, ReduceAnyChef, ReduceMaxChef, ReduceMinChef, ReduceProdChef, ReLUChef, ReLU6Chef, ReLUN1To1Chef, ReshapeChef, ResizeBilinearChef, ResizeNearestNeighborChef, ReverseSequenceChef, ReverseV2Chef, RoundChef, RsqrtChef, ScatterNdChef, SegmentSumChef, SelectChef, SelectV2Chef, ShapeChef, SinChef, SliceChef, SoftmaxChef, SpaceToBatchNDChef, SpaceToDepthChef, SparseToDenseChef, SplitChef, SplitVChef, SqrtChef, SquareChef, SquaredDifferenceChef, SqueezeChef, StridedSliceChef, SubChef, SumChef, SVDFChef, TanhChef, TileChef, TopKV2Chef, TransposeChef, TransposeConvChef, UnidirectionalSequenceLSTMChef, UniqueChef, UnpackChef, WhereChef, WhileChef, and ZerosLikeChef.

    @@ -406,7 +406,7 @@

    -

    Implemented in BatchMatMulChef, BCQFullyConnectedChef, BCQGatherChef, GRUChef, InstanceNormChef, AddV2Chef, AllChef, BatchMatMulV2Chef, BroadcastToChef, ErfChef, MatMulChef, MatrixBandPartChef, MaxPoolWithArgmaxChef, AbsChef, AddChef, AddNChef, ArgMaxChef, ArgMinChef, AveragePool2DChef, BatchMatMulChef, BatchToSpaceNDChef, BidirectionalSequenceLSTMChef, BroadcastToChef, CastChef, CeilChef, ConcatenationChef, Conv2DChef, CosChef, CumSumChef, DensifyChef, DepthToSpaceChef, DepthwiseConv2DChef, DequantizeChef, DivChef, ELUChef, EqualChef, ExpChef, ExpandDimsChef, FakeQuantChef, FillChef, FloorChef, FloorDivChef, FloorModChef, FullyConnectedChef, GatherChef, GatherNdChef, GeluChef, GreaterChef, GreaterEqualChef, HardSwishChef, IfChef, L2Normalize, L2Pool2DChef, LeakyReluChef, LessChef, LessEqualChef, LocalResponseNormalizationChef, LogChef, LogicalAndChef, LogicalNotChef, LogicalOrChef, LogisticChef, LogSoftmaxChef, MatrixDiagChef, MatrixSetDiagChef, MaximumChef, MaxPool2DChef, MeanChef, MinimumChef, MirrorPadChef, MulChef, NegChef, NonMaxSuppressionV4Chef, NonMaxSuppressionV5Chef, NotEqualChef, OneHotChef, PackChef, PadChef, PadV2Chef, PowChef, PReluChef, QuantizeChef, RangeChef, RankChef, ReduceAnyChef, ReduceMaxChef, ReduceMinChef, ReduceProdChef, ReLUChef, ReLU6Chef, ReLUN1To1Chef, ReshapeChef, ResizeBilinearChef, ResizeNearestNeighborChef, ReverseSequenceChef, ReverseV2Chef, RoundChef, RsqrtChef, ScatterNdChef, SegmentSumChef, SelectChef, SelectV2Chef, ShapeChef, SinChef, SliceChef, SoftmaxChef, SpaceToBatchNDChef, SpaceToDepthChef, SparseToDenseChef, SplitChef, SplitVChef, SqrtChef, SquareChef, SquaredDifferenceChef, SqueezeChef, StridedSliceChef, SubChef, SumChef, SVDFChef, TanhChef, TileChef, TopKV2Chef, TransposeChef, TransposeConvChef, UnidirectionalSequenceLSTMChef, UniqueChef, UnpackChef, WhereChef, WhileChef, and ZerosLikeChef.

    +

    Implemented in BatchMatMulChef, BCQFullyConnectedChef, BCQGatherChef, FullyConnectedChef, GRUChef, InstanceNormChef, AddV2Chef, AllChef, BatchMatMulV2Chef, BroadcastToChef, ErfChef, MatMulChef, MatrixBandPartChef, MaxPoolWithArgmaxChef, AbsChef, AddChef, AddNChef, ArgMaxChef, ArgMinChef, AveragePool2DChef, BatchMatMulChef, BatchToSpaceNDChef, BidirectionalSequenceLSTMChef, BroadcastToChef, CastChef, CeilChef, ConcatenationChef, Conv2DChef, CosChef, CumSumChef, DensifyChef, DepthToSpaceChef, DepthwiseConv2DChef, DequantizeChef, DivChef, ELUChef, EqualChef, ExpChef, ExpandDimsChef, FakeQuantChef, FillChef, FloorChef, FloorDivChef, FloorModChef, FullyConnectedChef, GatherChef, GatherNdChef, GeluChef, GreaterChef, GreaterEqualChef, HardSwishChef, IfChef, L2Normalize, L2Pool2DChef, LeakyReluChef, LessChef, LessEqualChef, LocalResponseNormalizationChef, LogChef, LogicalAndChef, LogicalNotChef, LogicalOrChef, LogisticChef, LogSoftmaxChef, MatrixDiagChef, MatrixSetDiagChef, MaximumChef, MaxPool2DChef, MeanChef, MinimumChef, MirrorPadChef, MulChef, NegChef, NonMaxSuppressionV4Chef, NonMaxSuppressionV5Chef, NotEqualChef, OneHotChef, PackChef, PadChef, PadV2Chef, PowChef, PReluChef, QuantizeChef, RangeChef, RankChef, ReduceAnyChef, ReduceMaxChef, ReduceMinChef, ReduceProdChef, ReLUChef, ReLU6Chef, ReLUN1To1Chef, ReshapeChef, ResizeBilinearChef, ResizeNearestNeighborChef, ReverseSequenceChef, ReverseV2Chef, RoundChef, RsqrtChef, ScatterNdChef, SegmentSumChef, SelectChef, SelectV2Chef, ShapeChef, SinChef, SliceChef, SoftmaxChef, SpaceToBatchNDChef, SpaceToDepthChef, SparseToDenseChef, SplitChef, SplitVChef, SqrtChef, SquareChef, SquaredDifferenceChef, SqueezeChef, StridedSliceChef, SubChef, SumChef, SVDFChef, TanhChef, TileChef, TopKV2Chef, TransposeChef, TransposeConvChef, UnidirectionalSequenceLSTMChef, UniqueChef, UnpackChef, WhereChef, WhileChef, and ZerosLikeChef.

    diff --git a/struct_op_chef_factory.html b/struct_op_chef_factory.html index 1aea56d7548..c679ab3f655 100644 --- a/struct_op_chef_factory.html +++ b/struct_op_chef_factory.html @@ -187,7 +187,7 @@

    -

    Implemented in BatchMatMulChefFactory, BCQFullyConnectedChefFactory, BCQGatherChefFactory, GRUChefFactory, InstanceNormChefFactory, AddV2ChefFactory, AllChefFactory, BatchMatMulV2ChefFactory, BroadcastToChefFactory, ErfChefFactory, MatMulChefFactory, MatrixBandPartChefFactory, MaxPoolWithArgmaxChefFactory, AbsChefFactory, AddChefFactory, AddNChefFactory, ArgMaxChefFactory, ArgMinChefFactory, AveragePool2DChefFactory, BatchMatMulChefFactory, BatchToSpaceNDChefFactory, BidirectionalSequenceLSTMChefFactory, BroadcastToChefFactory, CastChefFactory, CeilChefFactory, ConcatenationChefFactory, Conv2DChefFactory, CosChefFactory, CumSumChefFactory, DensifyChefFactory, DepthToSpaceChefFactory, DepthwiseConv2DChefFactory, DequantizeChefFactory, DivChefFactory, ELUChefFactory, EqualChefFactory, ExpChefFactory, ExpandDimsChefFactory, FakeQuantChefFactory, FillChefFactory, FloorChefFactory, FloorDivChefFactory, FloorModChefFactory, FullyConnectedChefFactory, GatherChefFactory, GatherNdChefFactory, GeluChefFactory, GreaterChefFactory, GreaterEqualChefFactory, HardSwishChefFactory, IfChefFactory, L2NormalizeChefFactory, L2Pool2DChefFactory, LeakyReluChefFactory, LessChefFactory, LessEqualChefFactory, LocalResponseNormalizationChefFactory, LogChefFactory, LogicalAndChefFactory, LogicalNotChefFactory, LogicalOrChefFactory, LogisticChefFactory, LogSoftmaxChefFactory, MatrixDiagChefFactory, MatrixSetDiagChefFactory, MaximumChefFactory, MaxPool2DChefFactory, MeanChefFactory, MinimumChefFactory, MirrorPadChefFactory, MulChefFactory, NegChefFactory, NonMaxSuppressionV4ChefFactory, NonMaxSuppressionV5ChefFactory, NotEqualChefFactory, OneHotChefFactory, PackChefFactory, PadChefFactory, PadV2ChefFactory, PowChefFactory, PReluChefFactory, QuantizeChefFactory, RangeChefFactory, RankChefFactory, ReduceAnyChefFactory, ReduceMaxChefFactory, ReduceMinChefFactory, ReduceProdChefFactory, ReLUChefFactory, ReLU6ChefFactory, ReLUN1To1ChefFactory, ReshapeChefFactory, ResizeBilinearChefFactory, ResizeNearestNeighborChefFactory, ReverseSequenceChefFactory, ReverseV2ChefFactory, RoundChefFactory, RsqrtChefFactory, ScatterNdChefFactory, SegmentSumChefFactory, SelectChefFactory, SelectV2ChefFactory, ShapeChefFactory, SinChefFactory, SliceChefFactory, SoftmaxChefFactory, SpaceToBatchNDChefFactory, SpaceToDepthChefFactory, SparseToDenseChefFactory, SplitChefFactory, SplitVChefFactory, SqrtChefFactory, SquareChefFactory, SquaredDifferenceChefFactory, SqueezeChefFactory, StridedSliceChefFactory, SubChefFactory, SumChefFactory, SVDFChefFactory, TanhChefFactory, TileChefFactory, TopKV2ChefFactory, TransposeChefFactory, TransposeConvChefFactory, UnidirectionalSequenceLSTMChefFactory, UniqueChefFactory, UnpackChefFactory, WhereChefFactory, WhileChefFactory, and ZerosLikeChefFactory.

    +

    Implemented in BatchMatMulChefFactory, BCQFullyConnectedChefFactory, BCQGatherChefFactory, FullyConnectedChefFactory, GRUChefFactory, InstanceNormChefFactory, AddV2ChefFactory, AllChefFactory, BatchMatMulV2ChefFactory, BroadcastToChefFactory, ErfChefFactory, MatMulChefFactory, MatrixBandPartChefFactory, MaxPoolWithArgmaxChefFactory, AbsChefFactory, AddChefFactory, AddNChefFactory, ArgMaxChefFactory, ArgMinChefFactory, AveragePool2DChefFactory, BatchMatMulChefFactory, BatchToSpaceNDChefFactory, BidirectionalSequenceLSTMChefFactory, BroadcastToChefFactory, CastChefFactory, CeilChefFactory, ConcatenationChefFactory, Conv2DChefFactory, CosChefFactory, CumSumChefFactory, DensifyChefFactory, DepthToSpaceChefFactory, DepthwiseConv2DChefFactory, DequantizeChefFactory, DivChefFactory, ELUChefFactory, EqualChefFactory, ExpChefFactory, ExpandDimsChefFactory, FakeQuantChefFactory, FillChefFactory, FloorChefFactory, FloorDivChefFactory, FloorModChefFactory, FullyConnectedChefFactory, GatherChefFactory, GatherNdChefFactory, GeluChefFactory, GreaterChefFactory, GreaterEqualChefFactory, HardSwishChefFactory, IfChefFactory, L2NormalizeChefFactory, L2Pool2DChefFactory, LeakyReluChefFactory, LessChefFactory, LessEqualChefFactory, LocalResponseNormalizationChefFactory, LogChefFactory, LogicalAndChefFactory, LogicalNotChefFactory, LogicalOrChefFactory, LogisticChefFactory, LogSoftmaxChefFactory, MatrixDiagChefFactory, MatrixSetDiagChefFactory, MaximumChefFactory, MaxPool2DChefFactory, MeanChefFactory, MinimumChefFactory, MirrorPadChefFactory, MulChefFactory, NegChefFactory, NonMaxSuppressionV4ChefFactory, NonMaxSuppressionV5ChefFactory, NotEqualChefFactory, OneHotChefFactory, PackChefFactory, PadChefFactory, PadV2ChefFactory, PowChefFactory, PReluChefFactory, QuantizeChefFactory, RangeChefFactory, RankChefFactory, ReduceAnyChefFactory, ReduceMaxChefFactory, ReduceMinChefFactory, ReduceProdChefFactory, ReLUChefFactory, ReLU6ChefFactory, ReLUN1To1ChefFactory, ReshapeChefFactory, ResizeBilinearChefFactory, ResizeNearestNeighborChefFactory, ReverseSequenceChefFactory, ReverseV2ChefFactory, RoundChefFactory, RsqrtChefFactory, ScatterNdChefFactory, SegmentSumChefFactory, SelectChefFactory, SelectV2ChefFactory, ShapeChefFactory, SinChefFactory, SliceChefFactory, SoftmaxChefFactory, SpaceToBatchNDChefFactory, SpaceToDepthChefFactory, SparseToDenseChefFactory, SplitChefFactory, SplitVChefFactory, SqrtChefFactory, SquareChefFactory, SquaredDifferenceChefFactory, SqueezeChefFactory, StridedSliceChefFactory, SubChefFactory, SumChefFactory, SVDFChefFactory, TanhChefFactory, TileChefFactory, TopKV2ChefFactory, TransposeChefFactory, TransposeConvChefFactory, UnidirectionalSequenceLSTMChefFactory, UniqueChefFactory, UnpackChefFactory, WhereChefFactory, WhileChefFactory, and ZerosLikeChefFactory.

    @@ -215,7 +215,7 @@

    -

    Implemented in BatchMatMulChefFactory, BCQFullyConnectedChefFactory, BCQGatherChefFactory, GRUChefFactory, InstanceNormChefFactory, AddV2ChefFactory, AllChefFactory, BatchMatMulV2ChefFactory, BroadcastToChefFactory, ErfChefFactory, MatMulChefFactory, MatrixBandPartChefFactory, MaxPoolWithArgmaxChefFactory, AbsChefFactory, AddChefFactory, AddNChefFactory, ArgMaxChefFactory, ArgMinChefFactory, AveragePool2DChefFactory, BatchMatMulChefFactory, BatchToSpaceNDChefFactory, BidirectionalSequenceLSTMChefFactory, BroadcastToChefFactory, CastChefFactory, CeilChefFactory, ConcatenationChefFactory, Conv2DChefFactory, CosChefFactory, CumSumChefFactory, DensifyChefFactory, DepthToSpaceChefFactory, DepthwiseConv2DChefFactory, DequantizeChefFactory, DivChefFactory, ELUChefFactory, EqualChefFactory, ExpChefFactory, ExpandDimsChefFactory, FakeQuantChefFactory, FillChefFactory, FloorChefFactory, FloorDivChefFactory, FloorModChefFactory, FullyConnectedChefFactory, GatherChefFactory, GatherNdChefFactory, GeluChefFactory, GreaterChefFactory, GreaterEqualChefFactory, HardSwishChefFactory, IfChefFactory, L2NormalizeChefFactory, L2Pool2DChefFactory, LeakyReluChefFactory, LessChefFactory, LessEqualChefFactory, LocalResponseNormalizationChefFactory, LogChefFactory, LogicalAndChefFactory, LogicalNotChefFactory, LogicalOrChefFactory, LogisticChefFactory, LogSoftmaxChefFactory, MatrixDiagChefFactory, MatrixSetDiagChefFactory, MaximumChefFactory, MaxPool2DChefFactory, MeanChefFactory, MinimumChefFactory, MirrorPadChefFactory, MulChefFactory, NegChefFactory, NonMaxSuppressionV4ChefFactory, NonMaxSuppressionV5ChefFactory, NotEqualChefFactory, OneHotChefFactory, PackChefFactory, PadChefFactory, PadV2ChefFactory, PowChefFactory, PReluChefFactory, QuantizeChefFactory, RangeChefFactory, RankChefFactory, ReduceAnyChefFactory, ReduceMaxChefFactory, ReduceMinChefFactory, ReduceProdChefFactory, ReLUChefFactory, ReLU6ChefFactory, ReLUN1To1ChefFactory, ReshapeChefFactory, ResizeBilinearChefFactory, ResizeNearestNeighborChefFactory, ReverseSequenceChefFactory, ReverseV2ChefFactory, RoundChefFactory, RsqrtChefFactory, ScatterNdChefFactory, SegmentSumChefFactory, SelectChefFactory, SelectV2ChefFactory, ShapeChefFactory, SinChefFactory, SliceChefFactory, SoftmaxChefFactory, SpaceToBatchNDChefFactory, SpaceToDepthChefFactory, SparseToDenseChefFactory, SplitChefFactory, SplitVChefFactory, SqrtChefFactory, SquareChefFactory, SquaredDifferenceChefFactory, SqueezeChefFactory, StridedSliceChefFactory, SubChefFactory, SumChefFactory, SVDFChefFactory, TanhChefFactory, TileChefFactory, TopKV2ChefFactory, TransposeChefFactory, TransposeConvChefFactory, UnidirectionalSequenceLSTMChefFactory, UniqueChefFactory, UnpackChefFactory, WhereChefFactory, WhileChefFactory, and ZerosLikeChefFactory.

    +

    Implemented in BatchMatMulChefFactory, BCQFullyConnectedChefFactory, BCQGatherChefFactory, FullyConnectedChefFactory, GRUChefFactory, InstanceNormChefFactory, AddV2ChefFactory, AllChefFactory, BatchMatMulV2ChefFactory, BroadcastToChefFactory, ErfChefFactory, MatMulChefFactory, MatrixBandPartChefFactory, MaxPoolWithArgmaxChefFactory, AbsChefFactory, AddChefFactory, AddNChefFactory, ArgMaxChefFactory, ArgMinChefFactory, AveragePool2DChefFactory, BatchMatMulChefFactory, BatchToSpaceNDChefFactory, BidirectionalSequenceLSTMChefFactory, BroadcastToChefFactory, CastChefFactory, CeilChefFactory, ConcatenationChefFactory, Conv2DChefFactory, CosChefFactory, CumSumChefFactory, DensifyChefFactory, DepthToSpaceChefFactory, DepthwiseConv2DChefFactory, DequantizeChefFactory, DivChefFactory, ELUChefFactory, EqualChefFactory, ExpChefFactory, ExpandDimsChefFactory, FakeQuantChefFactory, FillChefFactory, FloorChefFactory, FloorDivChefFactory, FloorModChefFactory, FullyConnectedChefFactory, GatherChefFactory, GatherNdChefFactory, GeluChefFactory, GreaterChefFactory, GreaterEqualChefFactory, HardSwishChefFactory, IfChefFactory, L2NormalizeChefFactory, L2Pool2DChefFactory, LeakyReluChefFactory, LessChefFactory, LessEqualChefFactory, LocalResponseNormalizationChefFactory, LogChefFactory, LogicalAndChefFactory, LogicalNotChefFactory, LogicalOrChefFactory, LogisticChefFactory, LogSoftmaxChefFactory, MatrixDiagChefFactory, MatrixSetDiagChefFactory, MaximumChefFactory, MaxPool2DChefFactory, MeanChefFactory, MinimumChefFactory, MirrorPadChefFactory, MulChefFactory, NegChefFactory, NonMaxSuppressionV4ChefFactory, NonMaxSuppressionV5ChefFactory, NotEqualChefFactory, OneHotChefFactory, PackChefFactory, PadChefFactory, PadV2ChefFactory, PowChefFactory, PReluChefFactory, QuantizeChefFactory, RangeChefFactory, RankChefFactory, ReduceAnyChefFactory, ReduceMaxChefFactory, ReduceMinChefFactory, ReduceProdChefFactory, ReLUChefFactory, ReLU6ChefFactory, ReLUN1To1ChefFactory, ReshapeChefFactory, ResizeBilinearChefFactory, ResizeNearestNeighborChefFactory, ReverseSequenceChefFactory, ReverseV2ChefFactory, RoundChefFactory, RsqrtChefFactory, ScatterNdChefFactory, SegmentSumChefFactory, SelectChefFactory, SelectV2ChefFactory, ShapeChefFactory, SinChefFactory, SliceChefFactory, SoftmaxChefFactory, SpaceToBatchNDChefFactory, SpaceToDepthChefFactory, SparseToDenseChefFactory, SplitChefFactory, SplitVChefFactory, SqrtChefFactory, SquareChefFactory, SquaredDifferenceChefFactory, SqueezeChefFactory, StridedSliceChefFactory, SubChefFactory, SumChefFactory, SVDFChefFactory, TanhChefFactory, TileChefFactory, TopKV2ChefFactory, TransposeChefFactory, TransposeConvChefFactory, UnidirectionalSequenceLSTMChefFactory, UniqueChefFactory, UnpackChefFactory, WhereChefFactory, WhileChefFactory, and ZerosLikeChefFactory.

    diff --git a/struct_op_printer.html b/struct_op_printer.html index 516d11119e2..30ddc78dd0b 100644 --- a/struct_op_printer.html +++ b/struct_op_printer.html @@ -332,7 +332,7 @@

    68 << ")" << std::endl;
    69 }
    Padding2D * pad(void)
    Definition Ops.h:120
    -
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    +
    KernelObject * ker(void) const
    Definition Conv2D.cpp:64
    Stride2D * stride(void)
    Definition Ops.h:124
    Op * arg(uint32_t n) const final
    Return N-th argument.
    @@ -345,7 +345,7 @@

    uint32_t horizontal(void) const
    Definition Stride2D.h:44
    Base interface on all supported NN operations.
    Definition Op.h:45
    -

    References coco::Op::accept(), coco::Conv2D::arg(), coco::Padding2D::bottom(), coco::Stride2D::horizontal(), coco::Conv2D::ker(), coco::Padding2D::left(), coco::Conv2D::pad(), coco::Padding2D::right(), coco::Conv2D::stride(), tab(), coco::Padding2D::top(), and coco::Stride2D::vertical().

    +

    References coco::Op::accept(), coco::Conv2D::arg(), coco::Padding2D::bottom(), coco::Stride2D::horizontal(), coco::Conv2D::ker(), coco::Padding2D::left(), coco::Conv2D::pad(), coco::Padding2D::right(), coco::Conv2D::stride(), tab(), coco::Padding2D::top(), and coco::Stride2D::vertical().

    diff --git a/struct_re_l_u6_chef_factory.html b/struct_re_l_u6_chef_factory.html index f2de122a816..6f76b770d41 100644 --- a/struct_re_l_u6_chef_factory.html +++ b/struct_re_l_u6_chef_factory.html @@ -147,7 +147,7 @@

    OpChefFactory.

    -

    Definition at line 24 of file ReLU6.cpp.

    +

    Definition at line 24 of file ReLU6.cpp.

    25{
    26 return std::unique_ptr<OpChef>{new ReLU6Chef{operation}};
    27}
    @@ -157,7 +157,7 @@

    ReLU6.h -
  • compiler/tflchef/core/src/Op/ReLU6.cpp
  • +
  • compiler/tflchef/core/src/Op/ReLU6.cpp
  • diff --git a/structcircle__eval__diff_1_1_tensor_shape.html b/structcircle__eval__diff_1_1_tensor_shape.html index 3130b4e48e2..cea6acbf208 100644 --- a/structcircle__eval__diff_1_1_tensor_shape.html +++ b/structcircle__eval__diff_1_1_tensor_shape.html @@ -170,7 +170,7 @@

    Definition at line 44 of file Tensor.h.

    44{ return _dims.at(axis); }
    -

    Referenced by luci_interpreter::kernels::calcOffset(), luci_interpreter::kernels::calculateShapeForBroadcast(), luci_interpreter::computeConvPadding(), luci_interpreter::configure_kernel_CircleBroadcastTo(), luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleDepthToSpace(), luci_interpreter::configure_kernel_CircleDepthwiseConv2D(), luci_interpreter::configure_kernel_CircleFullyConnected(), luci_interpreter::configure_kernel_CircleGather(), luci_interpreter::configure_kernel_CircleGatherND(), luci_interpreter::configure_kernel_CircleMirrorPad(), luci_interpreter::configure_kernel_CirclePadCommon(), luci_interpreter::configure_kernel_CircleResizeNearestNeighbor(), luci_interpreter::configure_kernel_CircleSpaceToDepth(), luci_interpreter::configure_kernel_CircleSVDF(), luci_interpreter::configure_kernel_CircleTranspose(), luci_interpreter::configure_kernel_CircleUnpack(), luci_interpreter::createPoolParams(), luci_interpreter_pal::evalLSTM(), luci_interpreter_pal::evalLSTM< int8_t, int8_t, int16_t, int32_t >(), luci_interpreter::execute_kernel_CircleConv2D(), luci_interpreter::execute_kernel_CircleMirrorPad(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleSVDF(), luci_interpreter::execute_kernel_CircleTranspose(), shape(), and luci_interpreter::splitImpl().

    +

    Referenced by luci_interpreter::kernels::calcOffset(), luci_interpreter::kernels::calculateShapeForBroadcast(), luci_interpreter::computeConvPadding(), luci_interpreter::configure_kernel_CircleBroadcastTo(), luci_interpreter::configure_kernel_CircleConv2D(), luci_interpreter::configure_kernel_CircleDepthToSpace(), luci_interpreter::configure_kernel_CircleDepthwiseConv2D(), luci_interpreter::configure_kernel_CircleFullyConnected(), luci_interpreter::configure_kernel_CircleGather(), luci_interpreter::configure_kernel_CircleGatherND(), luci_interpreter::configure_kernel_CircleMirrorPad(), luci_interpreter::configure_kernel_CirclePadCommon(), luci_interpreter::configure_kernel_CircleResizeNearestNeighbor(), luci_interpreter::configure_kernel_CircleSpaceToDepth(), luci_interpreter::configure_kernel_CircleSVDF(), luci_interpreter::configure_kernel_CircleTranspose(), luci_interpreter::configure_kernel_CircleUnpack(), luci_interpreter::createPoolParams(), luci_interpreter_pal::evalLSTM(), luci_interpreter_pal::evalLSTM< int8_t, int8_t, int16_t, int32_t >(), luci_interpreter::execute_kernel_CircleConv2D(), luci_interpreter::execute_kernel_CircleMirrorPad(), luci_interpreter::execute_kernel_CircleShape(), luci_interpreter::execute_kernel_CircleSlice(), luci_interpreter::execute_kernel_CircleSVDF(), luci_interpreter::execute_kernel_CircleTranspose(), shape(), and luci_interpreter::splitImpl().

    diff --git a/structloco_1_1_canonical_shape_inference_rule.html b/structloco_1_1_canonical_shape_inference_rule.html index 32ad1ebd88f..d8ce86704fc 100644 --- a/structloco_1_1_canonical_shape_inference_rule.html +++ b/structloco_1_1_canonical_shape_inference_rule.html @@ -244,7 +244,7 @@

    747 ::compat::Context ctx;
    748 ::compat::Sink sink;
    749
    -
    750 infer(&ctx, node, &sink);
    +
    750 infer(&ctx, node, &sink);
    751
    752 assert(sink.status() == ::compat::Sink::Okay or sink.status() == ::compat::Sink::Fail);
    753
    @@ -256,9 +256,9 @@

    759 shape = sink.shape();
    760 return true;
    761}
    -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    -

    References infer().

    +

    References infer().

    diff --git a/structluci_1_1_convert_to_fake_quantized_model_pass.html b/structluci_1_1_convert_to_fake_quantized_model_pass.html index 79d9433a9f3..3b2e1603d55 100644 --- a/structluci_1_1_convert_to_fake_quantized_model_pass.html +++ b/structluci_1_1_convert_to_fake_quantized_model_pass.html @@ -217,21 +217,21 @@

    logo::Pass.

    -

    Definition at line 273 of file ConvertToFakeQuantizedModelPass.cpp.

    -
    274{
    -
    275 LOGGER(l);
    -
    276 for (auto node : loco::active_nodes(loco::output_nodes(g)))
    -
    277 {
    -
    278 auto circle_node = loco::must_cast<luci::CircleNode *>(node);
    -
    279 INFO(l) << "ConvertToFakeQuantizedModelPass visit node: " << circle_node->name() << std::endl;
    -
    280
    -
    281 FakeQuantize fq;
    -
    282 circle_node->accept(&fq);
    -
    283 }
    -
    284
    -
    285 // One time run
    -
    286 return false;
    -
    287}
    +

    Definition at line 274 of file ConvertToFakeQuantizedModelPass.cpp.

    +
    275{
    +
    276 LOGGER(l);
    +
    277 for (auto node : loco::active_nodes(loco::output_nodes(g)))
    +
    278 {
    +
    279 auto circle_node = loco::must_cast<luci::CircleNode *>(node);
    +
    280 INFO(l) << "ConvertToFakeQuantizedModelPass visit node: " << circle_node->name() << std::endl;
    +
    281
    +
    282 FakeQuantize fq;
    +
    283 circle_node->accept(&fq);
    +
    284 }
    +
    285
    +
    286 // One time run
    +
    287 return false;
    +
    288}
    #define LOGGER(name)
    Definition Log.h:65
    #define INFO(name)
    Definition Log.h:68
    diff --git a/structluci_1_1_fuse_mul_with_div_pass.html b/structluci_1_1_fuse_mul_with_div_pass.html index 1518c6d0f6b..0b0b0a7cfa3 100644 --- a/structluci_1_1_fuse_mul_with_div_pass.html +++ b/structluci_1_1_fuse_mul_with_div_pass.html @@ -186,21 +186,24 @@

    logo::Pass.

    -

    Definition at line 122 of file FuseMulWithDivPass.cpp.

    -
    123{
    -
    124 bool changed = false;
    -
    125 for (auto node : loco::active_nodes(loco::output_nodes(g)))
    -
    126 {
    -
    127 auto div = dynamic_cast<luci::CircleDiv *>(node);
    -
    128 if (not div)
    -
    129 continue;
    -
    130
    -
    131 if (fuse_mul_with_div(div))
    -
    132 changed = true;
    -
    133 }
    -
    134
    -
    135 return changed;
    -
    136}
    +

    Definition at line 219 of file FuseMulWithDivPass.cpp.

    +
    220{
    +
    221 bool changed = false;
    +
    222 for (auto node : loco::active_nodes(loco::output_nodes(g)))
    +
    223 {
    +
    224 auto div = dynamic_cast<luci::CircleDiv *>(node);
    +
    225 if (not div)
    +
    226 continue;
    +
    227
    +
    228 if (fuse_mul_with_div(div))
    +
    229 changed = true;
    +
    230
    +
    231 if (fuse_mul_with_div_to_mul(div))
    +
    232 changed = true;
    +
    233 }
    +
    234
    +
    235 return changed;
    +
    236}
    DIV in Circle.
    Definition CircleDiv.h:37
    diff --git a/structluci_1_1_quantize_onnx_dequantize_linear_pass.html b/structluci_1_1_quantize_onnx_dequantize_linear_pass.html index 260ee76146b..f6a85383d1e 100644 --- a/structluci_1_1_quantize_onnx_dequantize_linear_pass.html +++ b/structluci_1_1_quantize_onnx_dequantize_linear_pass.html @@ -189,35 +189,26 @@

    logo::Pass.

    -

    Definition at line 501 of file QuantizeOnnxDequantizeLinearPass.cpp.

    -
    502{
    -
    503 bool changed = false;
    -
    504
    -
    505 for (auto node : loco::active_nodes(loco::output_nodes(g)))
    -
    506 {
    -
    507 if (auto circle_custom_out = dynamic_cast<luci::CircleCustomOut *>(node))
    -
    508 {
    -
    509 OnnxDequantizeLinearPattern p(circle_custom_out);
    -
    510 if (p.matched())
    -
    511 {
    -
    512 QuantizeOnnxDequantizeLinear quantize(p);
    -
    513 quantize.apply();
    -
    514 changed = true;
    -
    515 }
    -
    516
    -
    517 // TODO Remove V2 classes
    -
    518 OnnxDequantizeLinearPatternV2 p2(circle_custom_out);
    -
    519 if (p2.matched())
    -
    520 {
    -
    521 QuantizeOnnxDequantizeLinearV2 quantize(p2);
    -
    522 quantize.apply();
    -
    523 changed = true;
    -
    524 }
    -
    525 }
    -
    526 }
    -
    527
    -
    528 return changed;
    -
    529}
    +

    Definition at line 361 of file QuantizeOnnxDequantizeLinearPass.cpp.

    +
    362{
    +
    363 bool changed = false;
    +
    364
    +
    365 for (auto node : loco::active_nodes(loco::output_nodes(g)))
    +
    366 {
    +
    367 if (auto circle_custom_out = dynamic_cast<luci::CircleCustomOut *>(node))
    +
    368 {
    +
    369 OnnxDequantizeLinearPattern p(circle_custom_out);
    +
    370 if (p.matched())
    +
    371 {
    +
    372 QuantizeOnnxDequantizeLinear quantize(p);
    +
    373 quantize.apply();
    +
    374 changed = true;
    +
    375 }
    +
    376 }
    +
    377 }
    +
    378
    +
    379 return changed;
    +
    380}
    Virtual CIRCLECUSTOMOUT in Circle.
    diff --git a/structluci_1_1_user_settings.html b/structluci_1_1_user_settings.html index df73da77d15..f9ac0a4936b 100644 --- a/structluci_1_1_user_settings.html +++ b/structluci_1_1_user_settings.html @@ -263,7 +263,7 @@

    86 return &_this;

    87}
    -

    Referenced by luci::createCircleMetadataVector(), entry(), entry(), luci::LoggerConfig::LoggerConfig(), circle_planner::ExecutionPlanner::make_execution_plan(), luci::CircleCastGraphBuilder::validate(), luci::CircleGreaterGraphBuilder::validate(), and luci::CircleUnpackGraphBuilder::validate().

    +

    Referenced by luci::createCircleMetadataVector(), entry(), entry(), luci::LoggerConfig::LoggerConfig(), circle_planner::ExecutionPlanner::make_execution_plan(), luci::CircleCastGraphBuilder::validate(), luci::CircleGreaterGraphBuilder::validate(), and luci::CircleUnpackGraphBuilder::validate().

    diff --git a/structluci__interpreter_1_1_conv2_d_params.html b/structluci__interpreter_1_1_conv2_d_params.html index 9ef880833e0..dc8d89fddd0 100644 --- a/structluci__interpreter_1_1_conv2_d_params.html +++ b/structluci__interpreter_1_1_conv2_d_params.html @@ -140,7 +140,7 @@

    Definition at line 65 of file KernelParams.h.

    -

    Referenced by luci_interpreter::kernels::Conv2D::configure().

    +

    Referenced by luci_interpreter::kernels::Conv2D::configure().

    @@ -158,7 +158,7 @@

    Definition at line 63 of file KernelParams.h.

    -

    Referenced by luci_interpreter::kernels::Conv2D::configure().

    +

    Referenced by luci_interpreter::kernels::Conv2D::configure().

    @@ -176,7 +176,7 @@

    Definition at line 64 of file KernelParams.h.

    -

    Referenced by luci_interpreter::kernels::Conv2D::configure().

    +

    Referenced by luci_interpreter::kernels::Conv2D::configure().

    @@ -194,7 +194,7 @@

    Definition at line 60 of file KernelParams.h.

    -

    Referenced by luci_interpreter::build_kernel_CircleConv2D(), and luci_interpreter::kernels::Conv2D::configure().

    +

    Referenced by luci_interpreter::build_kernel_CircleConv2D(), and luci_interpreter::kernels::Conv2D::configure().

    @@ -212,7 +212,7 @@

    Definition at line 61 of file KernelParams.h.

    -

    Referenced by luci_interpreter::kernels::Conv2D::configure().

    +

    Referenced by luci_interpreter::kernels::Conv2D::configure().

    @@ -230,7 +230,7 @@

    Definition at line 62 of file KernelParams.h.

    -

    Referenced by luci_interpreter::kernels::Conv2D::configure().

    +

    Referenced by luci_interpreter::kernels::Conv2D::configure().

    diff --git a/structluci__interpreter_1_1_leaky_relu_params.html b/structluci__interpreter_1_1_leaky_relu_params.html index 98dcbc8462a..231e376b07f 100644 --- a/structluci__interpreter_1_1_leaky_relu_params.html +++ b/structluci__interpreter_1_1_leaky_relu_params.html @@ -120,7 +120,7 @@

    Definition at line 125 of file KernelParams.h.

    -

    Referenced by luci_interpreter::build_kernel_CircleLeakyRelu(), and luci_interpreter::kernels::LeakyRelu::configure().

    +

    Referenced by luci_interpreter::build_kernel_CircleLeakyRelu(), and luci_interpreter::kernels::LeakyRelu::configure().

    diff --git a/structluci__interpreter__pal_1_1_softmax_params.html b/structluci__interpreter__pal_1_1_softmax_params.html index f628513da2b..dba19161a8a 100644 --- a/structluci__interpreter__pal_1_1_softmax_params.html +++ b/structluci__interpreter__pal_1_1_softmax_params.html @@ -140,7 +140,7 @@

    Definition at line 242 of file Params.h.

    -

    Referenced by luci_interpreter_pal::Softmax().

    +

    Referenced by luci_interpreter_pal::Softmax().

    @@ -212,7 +212,7 @@

    Definition at line 246 of file Params.h.

    -

    Referenced by luci_interpreter_pal::Softmax(), luci_interpreter_pal::Softmax(), luci_interpreter_pal::Softmax(), and luci_interpreter_pal::Softmax().

    +

    Referenced by luci_interpreter_pal::Softmax(), luci_interpreter_pal::Softmax(), luci_interpreter_pal::Softmax(), and luci_interpreter_pal::Softmax().

    @@ -230,7 +230,7 @@

    Definition at line 247 of file Params.h.

    -

    Referenced by luci_interpreter_pal::Softmax(), luci_interpreter_pal::Softmax(), luci_interpreter_pal::Softmax(), and luci_interpreter_pal::Softmax().

    +

    Referenced by luci_interpreter_pal::Softmax(), luci_interpreter_pal::Softmax(), luci_interpreter_pal::Softmax(), and luci_interpreter_pal::Softmax().

    diff --git a/structmir_1_1_conv2_d_op_attributes.html b/structmir_1_1_conv2_d_op_attributes.html index 216bd11e9fd..f7b5cccf842 100644 --- a/structmir_1_1_conv2_d_op_attributes.html +++ b/structmir_1_1_conv2_d_op_attributes.html @@ -172,7 +172,7 @@

    -

    Referenced by mir_caffe2::Caffe2OpCreator::convertConv(), mir_caffe::CaffeOpCreator::convertConvolution(), mir_onnx::convertConvV1(), mir::ops::Conv2DOp::getDataFormat(), mir::ops::DepthwiseConv2DOp::getDataFormat(), mir_interpreter::Conv2DImpl< T >::run(), and mir_interpreter::Conv2DImpl< uint8_t >::run().

    +

    Referenced by mir_caffe2::Caffe2OpCreator::convertConv(), mir_caffe::CaffeOpCreator::convertConvolution(), mir_onnx::convertConvV1(), mir::ops::Conv2DOp::getDataFormat(), mir::ops::DepthwiseConv2DOp::getDataFormat(), mir_interpreter::Conv2DImpl< T >::run(), and mir_interpreter::Conv2DImpl< uint8_t >::run().

    @@ -191,7 +191,7 @@

    Definition at line 34 of file Attributes.h.

    34{1};
    -

    Referenced by mir_caffe2::Caffe2OpCreator::convertConv(), mir_caffe::CaffeOpCreator::convertConvolution(), mir_onnx::convertConvV1(), mir::ops::Conv2DOp::getNumGroups(), mir_interpreter::Conv2DImpl< T >::run(), and mir_interpreter::Conv2DImpl< uint8_t >::run().

    +

    Referenced by mir_caffe2::Caffe2OpCreator::convertConv(), mir_caffe::CaffeOpCreator::convertConvolution(), mir_onnx::convertConvV1(), mir::ops::Conv2DOp::getNumGroups(), mir_interpreter::Conv2DImpl< T >::run(), and mir_interpreter::Conv2DImpl< uint8_t >::run().

    @@ -229,7 +229,7 @@

    Definition at line 32 of file Attributes.h.

    32{0, 0};
    -

    Referenced by mir_caffe2::Caffe2OpCreator::convertConv(), mir_tflite::TFLiteOpCreator::convertConv2D(), mir_onnx::convertConvV1(), mir_tflite::TFLiteOpCreator::convertDepthwiseConv2D(), mir::ops::Conv2DOp::getPaddingBefore(), mir::ops::DepthwiseConv2DOp::getPaddingBefore(), mir_interpreter::Conv2DImpl< T >::run(), and mir_interpreter::Conv2DImpl< uint8_t >::run().

    +

    Referenced by mir_caffe2::Caffe2OpCreator::convertConv(), mir_tflite::TFLiteOpCreator::convertConv2D(), mir_onnx::convertConvV1(), mir_tflite::TFLiteOpCreator::convertDepthwiseConv2D(), mir::ops::Conv2DOp::getPaddingBefore(), mir::ops::DepthwiseConv2DOp::getPaddingBefore(), mir_interpreter::Conv2DImpl< T >::run(), and mir_interpreter::Conv2DImpl< uint8_t >::run().

    @@ -248,7 +248,7 @@

    Definition at line 31 of file Attributes.h.

    31{1, 1};
    -

    Referenced by mir_caffe2::Caffe2OpCreator::convertConv(), mir_tflite::TFLiteOpCreator::convertConv2D(), mir_onnx::convertConvV1(), mir_tflite::TFLiteOpCreator::convertDepthwiseConv2D(), mir::ops::Conv2DOp::getStrides(), mir::ops::DepthwiseConv2DOp::getStrides(), mir_interpreter::Conv2DImpl< T >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), TEST(), TEST(), TEST(), and TEST().

    +

    Referenced by mir_caffe2::Caffe2OpCreator::convertConv(), mir_tflite::TFLiteOpCreator::convertConv2D(), mir_onnx::convertConvV1(), mir_tflite::TFLiteOpCreator::convertDepthwiseConv2D(), mir::ops::Conv2DOp::getStrides(), mir::ops::DepthwiseConv2DOp::getStrides(), mir_interpreter::Conv2DImpl< T >::run(), mir_interpreter::Conv2DImpl< uint8_t >::run(), TEST(), TEST(), TEST(), and TEST().

    diff --git a/structmir__interpreter_1_1_conv2_d_impl.html b/structmir__interpreter_1_1_conv2_d_impl.html index 8edd1afd864..95a80ebc38a 100644 --- a/structmir__interpreter_1_1_conv2_d_impl.html +++ b/structmir__interpreter_1_1_conv2_d_impl.html @@ -103,7 +103,7 @@

    Detailed Description

    template<typename T>
    struct mir_interpreter::Conv2DImpl< T >
    -

    Definition at line 37 of file Conv2D.cpp.

    +

    Definition at line 37 of file Conv2D.cpp.

    Member Function Documentation

    ◆ run()

    @@ -159,7 +159,7 @@

    -

    Definition at line 45 of file Conv2D.cpp.

    +

    Definition at line 45 of file Conv2D.cpp.

    48{
    49 const auto *input_data = reinterpret_cast<const T *>(input.atOffset(0));
    50 const auto *kernel_data = reinterpret_cast<const T *>(kernel.atOffset(0));
    @@ -259,7 +259,7 @@

    Conv2D.cpp +
  • compiler/mir-interpreter/src/ops/Conv2D.cpp
  • diff --git a/structmir__interpreter_1_1_conv2_d_impl_3_01uint8__t_01_4.html b/structmir__interpreter_1_1_conv2_d_impl_3_01uint8__t_01_4.html index bceae1a6b18..55983c2315c 100644 --- a/structmir__interpreter_1_1_conv2_d_impl_3_01uint8__t_01_4.html +++ b/structmir__interpreter_1_1_conv2_d_impl_3_01uint8__t_01_4.html @@ -102,7 +102,7 @@

    Detailed Description

    -

    Definition at line 133 of file Conv2D.cpp.

    +

    Definition at line 133 of file Conv2D.cpp.

    Member Function Documentation

    ◆ run()

    @@ -156,7 +156,7 @@

    -

    Definition at line 140 of file Conv2D.cpp.

    +

    Definition at line 140 of file Conv2D.cpp.

    143{
    144 if (!fused_bias)
    145 {
    @@ -282,7 +282,7 @@

    Conv2D.cpp +
  • compiler/mir-interpreter/src/ops/Conv2D.cpp
  • diff --git a/structmir__interpreter_1_1_e_l_u_impl.html b/structmir__interpreter_1_1_e_l_u_impl.html index 0bb9c8af2fa..92d8f74e98f 100644 --- a/structmir__interpreter_1_1_e_l_u_impl.html +++ b/structmir__interpreter_1_1_e_l_u_impl.html @@ -103,7 +103,7 @@

    Detailed Description

    template<typename T>
    struct mir_interpreter::ELUImpl< T >
    -

    Definition at line 28 of file ELU.cpp.

    +

    Definition at line 28 of file ELU.cpp.

    Member Function Documentation

    ◆ run()

    @@ -147,7 +147,7 @@

    -

    Definition at line 34 of file ELU.cpp.

    +

    Definition at line 34 of file ELU.cpp.

    35{
    36 mir::Tensor<T> arg_accessor(arg);
    37 mir::Tensor<T> res_accessor(result);
    @@ -169,7 +169,7 @@

    ELU.cpp +
  • compiler/mir-interpreter/src/ops/ELU.cpp
  • diff --git a/structmir__interpreter_1_1_leaky_re_l_u_impl.html b/structmir__interpreter_1_1_leaky_re_l_u_impl.html index bcec977719b..bce416a5f9b 100644 --- a/structmir__interpreter_1_1_leaky_re_l_u_impl.html +++ b/structmir__interpreter_1_1_leaky_re_l_u_impl.html @@ -103,7 +103,7 @@

    Detailed Description

    template<typename T>
    struct mir_interpreter::LeakyReLUImpl< T >
    -

    Definition at line 26 of file LeakyReLU.cpp.

    +

    Definition at line 26 of file LeakyReLU.cpp.

    Member Function Documentation

    ◆ run()

    @@ -147,7 +147,7 @@

    -

    Definition at line 32 of file LeakyReLU.cpp.

    +

    Definition at line 32 of file LeakyReLU.cpp.

    33{
    34 mir::Tensor<T> arg_accessor(arg);
    35 mir::Tensor<T> res_accessor(result);
    @@ -169,7 +169,7 @@

    LeakyReLU.cpp +
  • compiler/mir-interpreter/src/ops/LeakyReLU.cpp
  • diff --git a/structmoco_1_1_t_f_node.html b/structmoco_1_1_t_f_node.html index 7eec6f03f5b..8c118a24dde 100644 --- a/structmoco_1_1_t_f_node.html +++ b/structmoco_1_1_t_f_node.html @@ -381,7 +381,7 @@

    Definition at line 50 of file TFNodeDecl.h.

    50{ return _name; }
    -

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::ConcatV2GraphBuilder::build(), moco::ConstGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::PackGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::StridedSliceGraphBuilder::build(), moco::AddGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), moco::FusedBatchNormGraphBuilder::build(), moco::MaximumGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::MulGraphBuilder::build(), moco::PadGraphBuilder::build(), moco::PlaceholderGraphBuilder::build(), moco::RealDivGraphBuilder::build(), moco::RsqrtGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqrtGraphBuilder::build(), moco::SquaredDifferenceGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::StopGradientGraphBuilder::build(), moco::SubGraphBuilder::build(), and moco::TanhGraphBuilder::build().

    +

    Referenced by moco::AvgPoolGraphBuilder::build(), moco::BiasAddGraphBuilder::build(), moco::ConcatV2GraphBuilder::build(), moco::ConstGraphBuilder::build(), moco::Conv2DGraphBuilder::build(), moco::IdentityGraphBuilder::build(), moco::MaxPoolGraphBuilder::build(), moco::PackGraphBuilder::build(), moco::ReluGraphBuilder::build(), moco::Relu6GraphBuilder::build(), moco::StridedSliceGraphBuilder::build(), moco::AddGraphBuilder::build(), moco::Conv2DBackpropInputGraphBuilder::build(), moco::DepthwiseConv2dNativeGraphBuilder::build(), moco::FakeQuantWithMinMaxVarsGraphBuilder::build(), moco::FusedBatchNormGraphBuilder::build(), moco::MaximumGraphBuilder::build(), moco::MeanGraphBuilder::build(), moco::MulGraphBuilder::build(), moco::PadGraphBuilder::build(), moco::PlaceholderGraphBuilder::build(), moco::RealDivGraphBuilder::build(), moco::RsqrtGraphBuilder::build(), moco::ShapeGraphBuilder::build(), moco::SoftmaxGraphBuilder::build(), moco::SqrtGraphBuilder::build(), moco::SquaredDifferenceGraphBuilder::build(), moco::SqueezeGraphBuilder::build(), moco::StopGradientGraphBuilder::build(), moco::SubGraphBuilder::build(), and moco::TanhGraphBuilder::build().

    diff --git a/structmoco_1_1_t_f_shape_inference_rule.html b/structmoco_1_1_t_f_shape_inference_rule.html index 5d9366f7a4b..41fef0eb711 100644 --- a/structmoco_1_1_t_f_shape_inference_rule.html +++ b/structmoco_1_1_t_f_shape_inference_rule.html @@ -248,7 +248,7 @@

    859 ::compat::Context ctx;
    860 ::compat::Sink sink;
    861
    -
    862 infer(&ctx, node, &sink);
    +
    862 infer(&ctx, node, &sink);
    863
    864 assert(sink.status() == ::compat::Sink::Okay or sink.status() == ::compat::Sink::Fail);
    865
    @@ -261,9 +261,9 @@

    872
    873 return true;
    874}
    -
    std::vector< float > infer()
    Definition main.cpp:25
    +
    std::vector< float > infer()
    Definition main.cpp:25
    -

    References infer().

    +

    References infer().

    diff --git a/structonert_1_1exec_1_1_i_o_description.html b/structonert_1_1exec_1_1_i_o_description.html index 8c7ab82c75b..bfc1d07e3c0 100644 --- a/structonert_1_1exec_1_1_i_o_description.html +++ b/structonert_1_1exec_1_1_i_o_description.html @@ -124,7 +124,7 @@

    Definition at line 67 of file IODescription.h.

    -

    Referenced by onert::exec::Execution::changeInputShape(), onert::exec::ExecutorBase::execute(), onert::exec::Execution::getInputShape(), and onert::exec::Execution::setInput().

    +

    Referenced by onert::exec::Execution::changeInputShape(), onert::exec::ExecutorBase::execute(), onert::exec::Execution::getInputShape(), and onert::exec::Execution::setInput().

    @@ -142,7 +142,7 @@

    Definition at line 64 of file IODescription.h.

    -

    Referenced by onert::exec::ExecutorBase::execute(), onert::exec::MultiModelExecutors::execute(), onert::exec::Execution::Execution(), validate_onnx2circle.OnnxRunner::feed_random_inputs(), onert::exec::train::TrainableExecutor::forward(), package.libnnfw_api_pybind.nnfw_session_wrapper::set_inputs(), onert::exec::Execution::setInput(), onert::exec::Execution::setInput(), and onert::exec::Execution::setInputLayout().

    +

    Referenced by onert::exec::ExecutorBase::execute(), onert::exec::MultiModelExecutors::execute(), onert::exec::Execution::Execution(), validate_onnx2circle.OnnxRunner::feed_random_inputs(), onert::exec::train::TrainableExecutor::forward(), package.libnnfw_api_pybind.nnfw_session_wrapper::set_inputs(), onert::exec::Execution::setInput(), onert::exec::Execution::setInput(), and onert::exec::Execution::setInputLayout().

    @@ -160,7 +160,7 @@

    Definition at line 65 of file IODescription.h.

    -

    Referenced by onert::exec::ExecutorBase::execute(), onert::exec::MultiModelExecutors::execute(), onert::exec::Execution::Execution(), onert::exec::train::TrainableExecutor::forward(), validate_onnx2circle.OnnxRunner::get_outputs(), onert::exec::Execution::getOutputShape(), package.libnnfw_api_pybind.nnfw_session_wrapper::inference(), package.libnnfw_api_pybind.nnfw_session_wrapper::set_outputs(), onert::exec::Execution::setOutput(), onert::exec::Execution::setOutput(), and onert::exec::Execution::setOutputLayout().

    +

    Referenced by onert::exec::ExecutorBase::execute(), onert::exec::MultiModelExecutors::execute(), onert::exec::Execution::Execution(), onert::exec::train::TrainableExecutor::forward(), validate_onnx2circle.OnnxRunner::get_outputs(), onert::exec::Execution::getOutputShape(), package.libnnfw_api_pybind.nnfw_session_wrapper::inference(), package.libnnfw_api_pybind.nnfw_session_wrapper::set_outputs(), onert::exec::Execution::setOutput(), onert::exec::Execution::setOutput(), and onert::exec::Execution::setOutputLayout().

    diff --git a/structonert__micro_1_1core_1_1_softmax_params.html b/structonert__micro_1_1core_1_1_softmax_params.html index 10810d0cb22..a682dd829a1 100644 --- a/structonert__micro_1_1core_1_1_softmax_params.html +++ b/structonert__micro_1_1core_1_1_softmax_params.html @@ -140,6 +140,8 @@

    Definition at line 47 of file OMKernelData.h.

    +

    Referenced by onert_micro::execute::pal::Softmax().

    + @@ -204,6 +206,8 @@

    Definition at line 51 of file OMKernelData.h.

    +

    Referenced by onert_micro::execute::pal::Softmax().

    + @@ -220,6 +224,8 @@

    Definition at line 52 of file OMKernelData.h.

    +

    Referenced by onert_micro::execute::pal::Softmax().

    +
    The documentation for this struct was generated from the following file: