Imported Upstream version 1.25.0

[platform/core/ml/nnfw.git] / onert-micro / luci-interpreter / src / kernels / ExpandDims.test.cpp

diff --git a/onert-micro/luci-interpreter/src/kernels/ExpandDims.test.cpp b/onert-micro/luci-interpreter/src/kernels/ExpandDims.test.cpp
index 1ebbcd8..b7448cd 100644 (file)
--- a/onert-micro/luci-interpreter/src/kernels/ExpandDims.test.cpp
+++ b/onert-micro/luci-interpreter/src/kernels/ExpandDims.test.cpp
@@ -1,6 +1,5 @@
 /*
  * Copyright (c) 2022 Samsung Electronics Co., Ltd. All Rights Reserved
- * Copyright 2017 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.
@@ -15,16 +14,13 @@
  * limitations under the License.
  */
 
-// TODO enable it
-#if 0
-#include "kernels/ExpandDims.h"
 #include "kernels/TestUtils.h"
-#include "luci_interpreter/TestMemoryManager.h"
+#include "luci_interpreter/test_models/expand_dims/ExpandDimsKernel.h"
+
+#include "loader/ModuleLoader.h"
 
 namespace luci_interpreter
 {
-namespace kernels
-{
 namespace
 {
 
@@ -32,87 +28,59 @@ using namespace testing;
 
 class ExpandDimsTest : public ::testing::Test
 {
-protected:
-  void SetUp() override { _memory_manager = std::make_unique<TestMemoryManager>(); }
-
-  std::unique_ptr<IMemoryManager> _memory_manager;
+  // Do nothing
 };
 
-TEST_F(ExpandDimsTest, PositiveAxis)
+template <typename T>
+std::vector<T> checkExpandDimsKernel(test_kernel::TestDataBase<T> *test_data_base)
 {
-  std::vector<int32_t> input_data{-1, 1, -2, 2};
-  std::initializer_list<int32_t> input_shape = {2, 2};
-
-  std::initializer_list<int32_t> axis_value = {0};
+  MemoryManager memory_manager{};
+  RuntimeModule runtime_module{};
+  bool dealloc_input = true;
 
-  Tensor input_tensor =
-    makeInputTensor<DataType::S32>(input_shape, input_data, _memory_manager.get());
-  Tensor axis_tensor = makeInputTensor<DataType::S32>({1}, axis_value, _memory_manager.get());
-  Tensor output_tensor = makeOutputTensor(DataType::S32);
-
-  ExpandDims kernel(&input_tensor, &axis_tensor, &output_tensor);
-  kernel.configure();
-  _memory_manager->allocate_memory(output_tensor);
-  kernel.execute();
-
-  EXPECT_THAT(extractTensorData<int32_t>(output_tensor), ::testing::ElementsAreArray(input_data));
-  EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray({1, 2, 2}));
-}
+  // Load model with single op
+  auto *model_data_raw = reinterpret_cast<const char *>(test_data_base->get_model_ptr());
+  ModuleLoader::load(&runtime_module, &memory_manager, model_data_raw, dealloc_input);
 
-TEST_F(ExpandDimsTest, NegAxis)
-{
-  std::vector<int32_t> input_data{-1, 1, -2, 2};
-  std::initializer_list<int32_t> input_shape = {2, 2};
+  auto *main_runtime_graph = runtime_module.getMainGraph();
+  assert(main_runtime_graph->getNumOfInputTensors() == 1);
 
-  std::initializer_list<int32_t> axis_value = {-1};
+  // Set input data
+  {
+    auto *input_tensor_data = reinterpret_cast<T *>(main_runtime_graph->configureGraphInput(0));
+    std::copy(test_data_base->get_input_data_by_index(0).begin(),
+              test_data_base->get_input_data_by_index(0).end(), input_tensor_data);
+  }
 
-  Tensor input_tensor =
-    makeInputTensor<DataType::S32>(input_shape, input_data, _memory_manager.get());
-  Tensor axis_tensor = makeInputTensor<DataType::S32>({1}, axis_value, _memory_manager.get());
-  Tensor output_tensor = makeOutputTensor(DataType::S32);
+  runtime_module.execute();
 
-  ExpandDims kernel(&input_tensor, &axis_tensor, &output_tensor);
-  kernel.configure();
-  _memory_manager->allocate_memory(output_tensor);
-  kernel.execute();
+  assert(main_runtime_graph->getNumOfOutputTensors() == 1);
 
-  EXPECT_THAT(extractTensorData<int32_t>(output_tensor), ::testing::ElementsAreArray(input_data));
-  EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray({2, 2, 1}));
+  T *output_data = reinterpret_cast<T *>(main_runtime_graph->getOutputDataByIndex(0));
+  const size_t num_elements = (main_runtime_graph->getOutputDataSizeByIndex(0) / sizeof(T));
+  std::vector<T> output_data_vector(output_data, output_data + num_elements);
+  return output_data_vector;
 }
 
-TEST_F(ExpandDimsTest, InvalidAxisType_NEG)
+TEST_F(ExpandDimsTest, MainTest_P)
 {
-  std::vector<int32_t> input_data{-1, 1, -2, 2};
-  std::initializer_list<int32_t> input_shape = {2, 2};
-
-  std::initializer_list<float> axis_value = {1.0};
-
-  Tensor input_tensor =
-    makeInputTensor<DataType::S32>(input_shape, input_data, _memory_manager.get());
-  Tensor axis_tensor = makeInputTensor<DataType::FLOAT32>({1}, axis_value, _memory_manager.get());
-  Tensor output_tensor = makeOutputTensor(DataType::S32);
-
-  ExpandDims kernel(&input_tensor, &axis_tensor, &output_tensor);
-  EXPECT_ANY_THROW(kernel.configure());
+  test_kernel::TestDataExpandDimsKernel<float> test_data_kernel;
+  std::vector<float> output_data_vector = checkExpandDimsKernel(&test_data_kernel);
+  EXPECT_THAT(output_data_vector, test_data_kernel.get_output_data_by_index(0));
 }
 
-TEST_F(ExpandDimsTest, InvalidAxisValue_NEG)
+TEST_F(ExpandDimsTest, WrongAxisType_NEG)
 {
-  std::vector<int32_t> input_data{-1, 1, -2, 2};
-  std::initializer_list<int32_t> input_shape = {2, 2};
-
-  std::initializer_list<int32_t> axis_value = {3};
-
-  Tensor input_tensor =
-    makeInputTensor<DataType::S32>(input_shape, input_data, _memory_manager.get());
-  Tensor axis_tensor = makeInputTensor<DataType::S32>({1}, axis_value, _memory_manager.get());
-  Tensor output_tensor = makeOutputTensor(DataType::S32);
-
-  ExpandDims kernel(&input_tensor, &axis_tensor, &output_tensor);
-  EXPECT_ANY_THROW(kernel.configure());
+  test_kernel::NegTestDataInvalidInputTypeExpandDimsKernel test_data_kernel;
+
+  MemoryManager memory_manager{};
+  RuntimeModule runtime_module{};
+  bool dealloc_input = true;
+  // Load model with single op
+  auto *model_data_raw = reinterpret_cast<const char *>(test_data_kernel.get_model_ptr());
+  EXPECT_DEATH(ModuleLoader::load(&runtime_module, &memory_manager, model_data_raw, dealloc_input),
+               "");
 }
 
 } // namespace
-} // namespace kernels
 } // namespace luci_interpreter
-#endif