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/*
* Copyright (c) 2020 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.
*/
#include "kernels/Floor.h"
#include "kernels/TestUtils.h"
#include "luci_interpreter/TestMemoryManager.h"
namespace luci_interpreter
{
namespace kernels
{
namespace
{
using namespace testing;
class FloorTest : public ::testing::Test
{
protected:
void SetUp() override { _memory_manager = std::make_unique<TestMemoryManager>(); }
std::unique_ptr<IMemoryManager> _memory_manager;
};
TEST_F(FloorTest, SimpleFloat)
{
std::initializer_list<int32_t> input_shape{1, 2, 4, 1};
std::vector<float> input_data{
0.2, 8.6, 2.4, 4.3, // Row 1
3, 7.1, 10.5, -0.9, // Row 2
};
std::initializer_list<int32_t> ref_output_shape{1, 2, 4, 1};
std::vector<float> ref_output_data{
0, 8, 2, 4, // Row 1
3, 7, 10, -1, // Row 2
};
Tensor input_tensor =
makeInputTensor<DataType::FLOAT32>(input_shape, input_data, _memory_manager.get());
Tensor output_tensor = makeOutputTensor(DataType::FLOAT32);
Floor kernel(&input_tensor, &output_tensor);
kernel.configure();
_memory_manager->allocate_memory(output_tensor);
kernel.execute();
EXPECT_THAT(extractTensorData<float>(output_tensor), FloatArrayNear(ref_output_data));
EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray(ref_output_shape));
}
TEST_F(FloorTest, Input_Output_Type_NEG)
{
Tensor input_tensor = makeInputTensor<DataType::FLOAT32>({1}, {1.f}, _memory_manager.get());
Tensor output_tensor = makeOutputTensor(DataType::S32);
Floor kernel(&input_tensor, &output_tensor);
EXPECT_ANY_THROW(kernel.configure());
}
} // namespace
} // namespace kernels
} // namespace luci_interpreter
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