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/*
* Copyright (c) 2019-2021, 2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_TEST_DEPTH_TO_SPACE_LAYER_FIXTURE
#define ARM_COMPUTE_TEST_DEPTH_TO_SPACE_LAYER_FIXTURE
#include "tests/Globals.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/reference/DepthToSpaceLayer.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class DepthToSpaceLayerValidationFixture : public framework::Fixture
{
public:
void setup(TensorShape input_shape, int32_t block_shape, TensorShape output_shape, DataType data_type, DataLayout data_layout)
{
_target = compute_target(input_shape, block_shape, output_shape, data_type, data_layout);
_reference = compute_reference(input_shape, block_shape, output_shape, data_type);
}
protected:
template <typename U>
void fill(U &&tensor, int i)
{
static_assert(std::is_floating_point<T>::value || std::is_same<T, half>::value, "Only floating point data types supported.");
using DistributionType = typename std::conditional<std::is_same<T, half>::value, arm_compute::utils::uniform_real_distribution_16bit<T>, std::uniform_real_distribution<T>>::type;
DistributionType distribution{ T(-1.0f), T(1.0f) };
library->fill(tensor, distribution, i);
}
TensorType compute_target(TensorShape input_shape, int32_t block_shape, TensorShape output_shape,
DataType data_type, DataLayout data_layout)
{
if(data_layout == DataLayout::NHWC)
{
permute(input_shape, PermutationVector(2U, 0U, 1U));
permute(output_shape, PermutationVector(2U, 0U, 1U));
}
// Create tensors
TensorType input = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout);
TensorType output = create_tensor<TensorType>(output_shape, data_type, 1, QuantizationInfo(), data_layout);
// Create and configure function
FunctionType depth_to_space;
depth_to_space.configure(&input, &output, block_shape);
ARM_COMPUTE_ASSERT(input.info()->is_resizable());
ARM_COMPUTE_ASSERT(output.info()->is_resizable());
// Allocate tensors
input.allocator()->allocate();
output.allocator()->allocate();
ARM_COMPUTE_ASSERT(!input.info()->is_resizable());
ARM_COMPUTE_ASSERT(!output.info()->is_resizable());
// Fill tensors
fill(AccessorType(input), 0);
// Compute function
depth_to_space.run();
return output;
}
SimpleTensor<T> compute_reference(const TensorShape &input_shape, int32_t block_shape,
const TensorShape &output_shape, DataType data_type)
{
// Create reference
SimpleTensor<T> input{ input_shape, data_type };
// Fill reference
fill(input, 0);
// Compute reference
return reference::depth_to_space(input, output_shape, block_shape);
}
TensorType _target{};
SimpleTensor<T> _reference{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_DEPTH_TO_SPACE_LAYER_FIXTURE */