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/*
* Copyright (c) 2020 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/Minimum.h"
#include "kernels/TestUtils.h"
#include "luci_interpreter/TestMemoryManager.h"
namespace luci_interpreter
{
namespace kernels
{
namespace
{
using namespace testing;
class MinimumTest : public ::testing::Test
{
protected:
void SetUp() override { _memory_manager = std::make_unique<TestMemoryManager>(); }
std::unique_ptr<IMemoryManager> _memory_manager;
};
TEST_F(MinimumTest, Float)
{
Shape input_shape{3, 1, 2};
std::vector<float> input_data1{1.0, 0.0, -1.0, 11.0, -2.0, -1.44};
std::vector<float> input_data2{-1.0, 0.0, 1.0, 12.0, -3.0, -1.43};
Tensor input_tensor1 =
makeInputTensor<DataType::FLOAT32>(input_shape, input_data1, _memory_manager.get());
Tensor input_tensor2 =
makeInputTensor<DataType::FLOAT32>(input_shape, input_data2, _memory_manager.get());
Tensor output_tensor = makeOutputTensor(DataType::FLOAT32);
Minimum kernel(&input_tensor1, &input_tensor2, &output_tensor);
kernel.configure();
_memory_manager->allocate_memory(output_tensor);
kernel.execute();
std::vector<float> ref_output_data{-1.0, 0.0, -1.0, 11.0, -3.0, -1.44};
EXPECT_THAT(extractTensorData<float>(output_tensor), FloatArrayNear(ref_output_data));
}
TEST_F(MinimumTest, Uint8)
{
Shape input_shape{3, 1, 2};
std::vector<uint8_t> input_data1{1, 0, 2, 11, 2, 23};
std::vector<uint8_t> input_data2{0, 0, 1, 12, 255, 1};
Tensor input_tensor1 =
makeInputTensor<DataType::U8>(input_shape, input_data1, _memory_manager.get());
Tensor input_tensor2 =
makeInputTensor<DataType::U8>(input_shape, input_data2, _memory_manager.get());
Tensor output_tensor = makeOutputTensor(DataType::U8);
Minimum kernel(&input_tensor1, &input_tensor2, &output_tensor);
kernel.configure();
_memory_manager->allocate_memory(output_tensor);
kernel.execute();
std::vector<int32_t> ref_output_shape{2, 4};
EXPECT_THAT(extractTensorData<uint8_t>(output_tensor),
::testing::ElementsAreArray({0, 0, 1, 11, 2, 1}));
}
} // namespace
} // namespace kernels
} // namespace luci_interpreter
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