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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/DepthToSpace.h"
#include "kernels/TestUtils.h"
namespace luci_interpreter
{
namespace kernels
{
namespace
{
using namespace testing;
template <typename T> class DepthToSpaceTest : public ::testing::Test
{
};
using DataTypes = ::testing::Types<float, uint8_t>;
TYPED_TEST_CASE(DepthToSpaceTest, DataTypes);
TYPED_TEST(DepthToSpaceTest, SimpleCase)
{
std::vector<TypeParam> input_data{1, 2, 3, 4, 5, 6, 7, 8};
Shape input_shape{1, 1, 2, 4};
std::vector<TypeParam> output_data{1, 2, 5, 6, 3, 4, 7, 8};
std::vector<int32_t> output_shape{1, 2, 4, 1};
Tensor input_tensor = makeInputTensor<getElementType<TypeParam>()>(input_shape, input_data);
Tensor output_tensor = makeOutputTensor(getElementType<TypeParam>());
DepthToSpaceParams params{};
params.block_size = 2;
DepthToSpace kernel = DepthToSpace(&input_tensor, &output_tensor, params);
kernel.configure();
kernel.execute();
EXPECT_THAT(extractTensorData<TypeParam>(output_tensor),
::testing::ElementsAreArray(output_data));
EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray(output_shape));
}
} // namespace
} // namespace kernels
} // namespace luci_interpreter
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