[dredd] Introduce new rule for tensorshape

Introduce new dredd-rule for check tensors shape.

ONE-DCO-1.0-Signed-off-by: JuYoung Lee [email protected]

compiler/circle-inspect/driver/Driver.cpp

@@ -37,6 +37,7 @@ int entry(int argc, char **argv)
   arser.add_argument("--constants").nargs(0).help("Dump constant tensors name");
   arser.add_argument("--op_version").nargs(0).help("Dump versions of the operators in circle file");
   arser.add_argument("--tensor_dtype").nargs(0).help("Dump dtype of tensors");
+  arser.add_argument("--tensor_shape").nargs(0).help("Dump shape of tensors");
   arser.add_argument("circle").help("Circle file to inspect");
 
   try
@@ -51,7 +52,7 @@ int entry(int argc, char **argv)
   }
 
   if (!arser["--operators"] && !arser["--conv2d_weight"] && !arser["--op_version"] &&
-      !arser["--tensor_dtype"] && !arser["--constants"])
+      !arser["--tensor_dtype"] && !arser["--constants"] && !arser["--tensor_shape"])
   {
     std::cout << "At least one option must be specified" << std::endl;
     std::cout << arser;
@@ -70,6 +71,8 @@ int entry(int argc, char **argv)
     dumps.push_back(std::make_unique<circleinspect::DumpTensorDType>());
   if (arser["--constants"])
     dumps.push_back(std::make_unique<circleinspect::DumpConstants>());
+  if (arser["--tensor_shape"])
+    dumps.push_back(std::make_unique<circleinspect::DumpTensorShape>());
 
   std::string model_file = arser.get<std::string>("circle");
 

compiler/circle-inspect/src/Dump.cpp

@@ -240,3 +240,34 @@ void DumpConstants::run(std::ostream &os, const circle::Model *model, const std:
 }
 
 } // namespace circleinspect
+
+namespace circleinspect
+{
+
+void DumpTensorShape::run(std::ostream &os, const circle::Model *model,
+                          const std::vector<char> *data)
+{
+  mio::circle::Reader reader(model, data);
+
+  const uint32_t subgraph_size = reader.num_subgraph();
+
+  for (uint32_t g = 0; g < subgraph_size; g++)
+  {
+    reader.select_subgraph(g);
+    auto tensors = reader.tensors();
+
+    for (uint32_t i = 0; i < tensors->size(); ++i)
+    {
+      const auto tensor = tensors->Get(i);
+      auto shape = tensor->shape_signature() ? tensor->shape_signature() : tensor->shape();
+      os << reader.tensor_name(tensor) << " ";
+      for (int8_t i = 0; i < shape->size(); i++)
+      {
+        os << shape->Get(i);
+      }
+      os << std::endl;
+    }
+  }
+}
+
+} // namespace circleinspect

compiler/circle-inspect/src/Dump.h

@@ -78,6 +78,15 @@ class DumpConstants final : public DumpInterface
   void run(std::ostream &os, const circle::Model *model, const std::vector<char> *data);
 };
 
+class DumpTensorShape final : public DumpInterface
+{
+public:
+  DumpTensorShape() = default;
+
+public:
+  void run(std::ostream &os, const circle::Model *model, const std::vector<char> *data);
+};
+
 } // namespace circleinspect
 
 #endif // __DUMP_H__

compiler/dredd-rule-lib/rule-lib.sh

@@ -252,4 +252,21 @@ const_count()
   echo ${ACTUAL}
 }
 
+tensor_shape()
+{
+  argc_check $# 1
+  file_path_check ${COMPILED_FILE}
+  file_path_check ${INSPECT_PROG_PATH}
+
+  set -o pipefail
+
+  ACTUAL=`init_error_log ; \
+          ${INSPECT_PROG_PATH} --tensor_shape ${COMPILED_FILE} | \
+          awk -v tensor_name="$1" '{ if ($1 == tensor_name) print $2}'`
+
+  check_success_exit_code $? 0
+
+  echo ${ACTUAL}
+}
+
 # TODO define more qullity test function

res/TensorFlowLiteRecipes/Pad_002/test.recipe

@@ -0,0 +1,33 @@
+# padding with dynamic shape, others same as Pad_000
+operand {
+  name: "ifm"
+  type: FLOAT32
+  shape { dim: 1 dim: 3 dim: 3 dim: 2 }
+  shape_signature { dim: -1 dim: 3 dim: 3 dim: 2 }
+}
+operand {
+  name: "padding"
+  type: INT64
+  shape { dim: 4 dim: 2 }
+  filler {
+    tag: "explicit"
+    arg: "0" arg: "0"
+    arg: "1" arg: "1"
+    arg: "2" arg: "2"
+    arg: "0" arg: "0"
+  }
+}
+operand {
+  name: "ofm"
+  type: FLOAT32
+  shape { dim: 1 dim: 5 dim: 7 dim: 2 }
+  shape_signature { dim: -1 dim: 5 dim: 7 dim: 2 }
+}
+operation {
+  type: "Pad"
+  input: "ifm"
+  input: "padding"
+  output: "ofm"
+}
+input: "ifm"
+output: "ofm"

res/TensorFlowLiteRecipes/Pad_002/test.rule

@@ -0,0 +1,6 @@
+# To check if dynamic dimension properly infered
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1
+
+RULE    "PAD_EXIST"               $(op_count PAD) '=' 1
+RULE    "PAD_SHAPE"               $(tensor_shape ofm) '=' -1572