[onert-micro] Add float Rsqrt kernel

onert-micro/luci-interpreter/include/luci_interpreter/test_models/rsqrt/FloatRsqrtKernel.h

@@ -0,0 +1,89 @@
+/*
+ * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef LUCI_INTERPRETER_TEST_MODELS_FLOAT_RSQRT_KERNEL_H
+#define LUCI_INTERPRETER_TEST_MODELS_FLOAT_RSQRT_KERNEL_H
+
+#include "TestDataRsqrtBase.h"
+
+namespace luci_interpreter
+{
+namespace test_kernel
+{
+namespace rsqrt_float
+{
+/*
+ * Rsqrt Kernel:
+ *
+ *      Input(1, 3, 3, 2)
+ *            |
+ *           Rsqrt
+ *            |
+ *      Output(1, 3, 3, 2)
+ */
+const unsigned char test_kernel_model_circle[] = {
+  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, 0x14, 0x01, 0x00, 0x00, 0x30, 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,
+  0x48, 0x00, 0x00, 0x00, 0x4c, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x0a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0a, 0x00, 0x00, 0x00,
+  0x08, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 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,
+  0x4c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x4c, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d,
+  0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};
+
+const std::vector<float> input_data = {
+  23.484858, 44.7245,   37.12629,  48.7498,  22.87489, 38.79412, 16.368074, 17.066277, 21.366201,
+  22.673359, 42.429207, 45.798313, 29.01582, 32.38278, 24.38851, 32.807495, 24.529152, 41.338783};
+
+const std::vector<float> reference_output_data = {
+  0.20635073, 0.14952964, 0.16411914, 0.14322327, 0.20908386, 0.16055249,
+  0.2471731,  0.24206422, 0.21633977, 0.21001102, 0.15352091, 0.14776625,
+  0.18564472, 0.17572881, 0.20249178, 0.17458762, 0.2019104,  0.1555325};
+
+} // namespace rsqrt_float
+
+class TestDataFloatRsqrt : public TestDataRsqrtBase<float>
+{
+public:
+  TestDataFloatRsqrt()
+  {
+    _input_data = rsqrt_float::input_data;
+    _reference_output_data = rsqrt_float::reference_output_data;
+    _test_kernel_model_circle = rsqrt_float::test_kernel_model_circle;
+  }
+
+  ~TestDataFloatRsqrt() override = default;
+};
+
+} // namespace test_kernel
+} // namespace luci_interpreter
+
+#endif // LUCI_INTERPRETER_TEST_MODELS_FLOAT_RSQRT_KERNEL_H

onert-micro/luci-interpreter/include/luci_interpreter/test_models/rsqrt/NegRsqrtKernel.h

@@ -0,0 +1,83 @@
+/*
+ * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef LUCI_INTERPRETER_TEST_MODELS_NEG_RSQRT_KERNEL_H
+#define LUCI_INTERPRETER_TEST_MODELS_NEG_RSQRT_KERNEL_H
+
+#include "luci_interpreter/test_models/TestDataBase.h"
+
+namespace luci_interpreter
+{
+namespace test_kernel
+{
+namespace neg_input_output_type_mismatch_kernel
+{
+/*
+ * Rsqrt Kernel with input output type mismatch:
+ *
+ *      Input(1, 3, 3, 2) - Float32
+ *            |
+ *           Rsqrt
+ *            |
+ *      Output(1, 3, 3, 2) - Int32
+ */
+const unsigned char test_kernel_model_circle[] = {
+  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, 0x24, 0x01, 0x00, 0x00, 0x40, 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,
+  0x48, 0x00, 0x00, 0x00, 0x4c, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x0a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0a, 0x00, 0x00, 0x00,
+  0x08, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 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,
+  0x4c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x4c, 0x11, 0x00, 0x00, 0x00, 0x4f, 0x4e, 0x45, 0x2d,
+  0x74, 0x66, 0x6c, 0x69, 0x74, 0x65, 0x32, 0x63, 0x69, 0x72, 0x63, 0x6c, 0x65, 0x00, 0x00, 0x00};
+} // namespace neg_input_output_type_mismatch_kernel
+
+class NegTestDataInputOutputTypeMismatchRsqrtKernel : public NegTestDataBase
+{
+public:
+  NegTestDataInputOutputTypeMismatchRsqrtKernel()
+  {
+    _test_kernel_model_circle = neg_input_output_type_mismatch_kernel::test_kernel_model_circle;
+  }
+
+  ~NegTestDataInputOutputTypeMismatchRsqrtKernel() override = default;
+
+  const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }
+
+protected:
+  const unsigned char *_test_kernel_model_circle;
+};
+
+} // namespace test_kernel
+} // namespace luci_interpreter
+
+#endif // LUCI_INTERPRETER_TEST_MODELS_NEG_RSQRT_KERNEL_H

onert-micro/luci-interpreter/include/luci_interpreter/test_models/rsqrt/TestDataRsqrtBase.h

@@ -0,0 +1,60 @@
+/*
+ * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef LUCI_INTERPRETER_TEST_MODELS_RSQRT_KERNEL_BASE_H
+#define LUCI_INTERPRETER_TEST_MODELS_RSQRT_KERNEL_BASE_H
+
+#include "luci_interpreter/test_models/TestDataBase.h"
+
+namespace luci_interpreter
+{
+namespace test_kernel
+{
+
+template <typename T> class TestDataRsqrtBase : public TestDataBase<T>
+{
+public:
+  TestDataRsqrtBase() = default;
+
+  const unsigned char *get_model_ptr() override final { return _test_kernel_model_circle; }
+
+  const std::vector<T> &get_input_data_by_index(int i) override final
+  {
+    switch (i)
+    {
+      case 0:
+        return _input_data;
+      default:
+        assert(false && "Wrong input index");
+    }
+  }
+
+  const std::vector<T> &get_output_data_by_index(int i) override final
+  {
+    assert(i == 0);
+    return _reference_output_data;
+  }
+
+protected:
+  std::vector<T> _input_data;
+  std::vector<T> _reference_output_data;
+  const unsigned char *_test_kernel_model_circle;
+};
+
+} // namespace test_kernel
+} // namespace luci_interpreter
+
+#endif // LUCI_INTERPRETER_TEST_MODELS_RSQRT_KERNEL_BASE_H

onert-micro/luci-interpreter/pal/cmsisnn/KernelsToBuild.lst

@@ -40,4 +40,5 @@ REGISTER_KERNEL(TRANSPOSE, Transpose)
 REGISTER_KERNEL(SOFTMAX, Softmax)
 REGISTER_KERNEL(WHILE, While)
 REGISTER_KERNEL(RESIZE_BILINEAR, ResizeBilinear)
+REGISTER_KERNEL(RSQRT, Rsqrt)
 REGISTER_KERNEL(NEG, Neg)

onert-micro/luci-interpreter/pal/common/PALRsqrt.h

@@ -0,0 +1,37 @@
+/*
+ * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2020 The TensorFlow Authors. All Rights Reserved.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef LUCI_INTERPRETER_PAL_RSQRT_COMMON_H
+#define LUCI_INTERPRETER_PAL_RSQRT_COMMON_H
+
+#include "PALUtils.h"
+#include <cmath>
+
+namespace luci_interpreter_pal
+{
+
+inline void Rsqrt(const int flat_size, const float *input_data, float *output_data)
+{
+  for (int i = 0; i < flat_size; ++i)
+  {
+    output_data[i] = 1.f / std::sqrt(input_data[i]);
+  }
+}
+
+} // namespace luci_interpreter_pal
+
+#endif // LUCI_INTERPRETER_PAL_RSQRT_COMMON_H

onert-micro/luci-interpreter/pal/mcu/KernelsToBuild.lst

@@ -48,4 +48,5 @@ REGISTER_KERNEL(SOFTMAX, Softmax)
 REGISTER_KERNEL(WHILE, While)
 REGISTER_KERNEL(UNIDIRECTIONAL_SEQUENCE_LSTM, UnidirectionalSequenceLSTM)
 REGISTER_KERNEL(RESIZE_BILINEAR, ResizeBilinear)
+REGISTER_KERNEL(RSQRT, Rsqrt)
 REGISTER_KERNEL(NEG, Neg)

onert-micro/luci-interpreter/src/kernels/Rsqrt.cpp

@@ -14,53 +14,63 @@
  * limitations under the License.
  */
 
-#include "kernels/Rsqrt.h"
+#include "Builders.h"
 #include "kernels/Utils.h"
+#include "SISOKernel.h"
 
-#include <cmath>
+#include "PALRsqrt.h"
 
 namespace luci_interpreter
 {
 
-namespace kernels
+void configure_kernel_CircleRsqrt(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
 {
+  kernels::SISOKernel kernel(cur_op, runtime_graph);
 
-Rsqrt::Rsqrt(const Tensor *input, Tensor *output) : Kernel({input}, {output}) {}
-
-void Rsqrt::configure()
-{
-  if (input()->element_type() != output()->element_type())
-  {
-    assert(false && "Input/output tensor data type mismatch.");
-  }
-  // TODO: enable it only if kernel with dynamic shapes
-  output()->resize(input()->shape());
+  LUCI_INTERPRETER_CHECK(Tensor::element_type(kernel.input()) ==
+                         Tensor::element_type(kernel.output()));
+  LUCI_INTERPRETER_CHECK(Tensor::num_elements(kernel.input()) ==
+                         Tensor::num_elements(kernel.output()));
+  LUCI_INTERPRETER_CHECK(Tensor::num_dims(kernel.input()) == Tensor::num_dims(kernel.output()));
 }
 
-void Rsqrt::execute() const
+void execute_kernel_CircleRsqrt(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
 {
-  switch (input()->element_type())
+  kernels::SISOKernel kernel(cur_op, runtime_graph);
+
+  const auto *input_data = runtime_graph->getDataByTensor(kernel.input());
+  assert(input_data);
+
+  auto *output_data = runtime_graph->getDataByTensor(kernel.output());
+
+  bool is_inplace = runtime_graph->is_inplace_op(cur_op);
+
+  switch (Tensor::element_type(kernel.input()))
   {
+#ifndef DIS_FLOAT
     case DataType::FLOAT32:
-      evalFloat();
-      break;
+    {
+      const float *input_data_float = kernels::getTensorData<float>(input_data);
+      float *output_data_float = kernels::getTensorData<float>(output_data);
+      if (is_inplace)
+      {
+        output_data_float = const_cast<float *>(input_data_float);
+      }
 
+      assert(output_data_float);
+
+      const int flat_size =
+        kernels::getTensorRuntimeShape(kernel.input(), runtime_graph).flatSize();
+
+      luci_interpreter_pal::Rsqrt(flat_size, input_data_float, output_data_float);
+      break;
+    }
+#endif // DIS_FLOAT
     default:
-      assert(false && "Unsupported type.");
+      assert(false && "Unsupported type");
   }
-}
 
-void Rsqrt::evalFloat() const
-{
-  auto in = getTensorData<float>(input());
-  auto out = getTensorData<float>(output());
-  auto size = getTensorShape(input()).FlatSize();
-  for (auto i = in; i != in + size; ++i)
-  {
-    *out = 1.f / std::sqrt(*i);
-    ++out;
-  }
+  if (is_inplace)
+    runtime_graph->makeInplaceOperation(kernel.input(), kernel.output());
 }
-
-} // namespace kernels
 } // namespace luci_interpreter