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/*
* Copyright (c) 2021 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.
* 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.
*/
#include "kernels/TestUtils.h"
#include "luci_interpreter/test_models/neg/FloatNegKernel.h"
#include "luci_interpreter/test_models/neg/NegNegKernel.h"
#include "loader/ModuleLoader.h"
namespace luci_interpreter
{
namespace
{
using namespace testing;
class NegTest : public ::testing::Test
{
// Do nothing
};
template <typename T> std::vector<T> checkNegKernel(test_kernel::TestDataBase<T> *test_data_base)
{
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_base->get_model_ptr());
ModuleLoader::load(&runtime_module, &memory_manager, model_data_raw, dealloc_input);
auto *main_runtime_graph = runtime_module.getMainGraph();
assert(main_runtime_graph->getNumOfInputTensors() == 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);
}
runtime_module.execute();
assert(main_runtime_graph->getNumOfOutputTensors() == 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(NegTest, Float_P)
{
test_kernel::TestDataFloatNeg test_data_kernel;
std::vector<float> output_data_vector = checkNegKernel(&test_data_kernel);
EXPECT_THAT(output_data_vector, test_data_kernel.get_output_data_by_index(0));
}
TEST_F(NegTest, Input_output_type_mismatch_NEG)
{
test_kernel::NegTestDataInputOutputTypeMismatchNegKernel 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),
"");
}
TEST_F(NegTest, Invalid_input_shape_NEG)
{
test_kernel::NegTestDataInvalidInputShapeNegKernel 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 luci_interpreter
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