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/*
* Copyright (c) 2018-2020 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.
*/
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/Helpers.h"
#include "tests/validation/reference/UpsampleLayer.h"
#include <random>
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class UpsampleLayerFixtureBase : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape input_shape, DataType data_type, DataLayout data_layout,
Size2D info, const InterpolationPolicy &policy, QuantizationInfo quantization_info)
{
_data_type = data_type;
_target = compute_target(input_shape, info, policy, data_type, data_layout, quantization_info);
_reference = compute_reference(input_shape, info, policy, data_type, quantization_info);
}
protected:
template <typename U>
void fill(U &&tensor, int i)
{
library->fill_tensor_uniform(tensor, i);
}
TensorType compute_target(TensorShape input_shape, const Size2D &info, const InterpolationPolicy &policy,
DataType data_type, DataLayout data_layout, QuantizationInfo quantization_info)
{
TensorShape output_shape(input_shape);
output_shape.set(0, info.x() * input_shape[0]);
output_shape.set(1, info.y() * input_shape[1]);
if(data_layout == DataLayout::NHWC)
{
permute(input_shape, PermutationVector(2U, 0U, 1U));
permute(output_shape, PermutationVector(2U, 0U, 1U));
}
// Create tensors
TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, quantization_info, data_layout);
TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, quantization_info, data_layout);
// Create and configure function
FunctionType upsample;
upsample.configure(&src, &dst, info, policy);
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
src.allocator()->allocate();
dst.allocator()->allocate();
ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill tensors
fill(AccessorType(src), 0);
// Compute DeconvolutionLayer function
upsample.run();
return dst;
}
SimpleTensor<T> compute_reference(const TensorShape &input_shape, const Size2D &info, const InterpolationPolicy &policy,
DataType data_type, QuantizationInfo quantization_info)
{
// Create reference
SimpleTensor<T> src{ input_shape, data_type, 1, quantization_info };
// Fill reference
fill(src, 0);
return reference::upsample_layer<T>(src, info, policy);
}
TensorType _target{};
SimpleTensor<T> _reference{};
DataType _data_type{};
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class UpsampleLayerFixture : public UpsampleLayerFixtureBase<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(TensorShape input_shape, DataType data_type, DataLayout data_layout,
Size2D info, const InterpolationPolicy &policy)
{
UpsampleLayerFixtureBase<TensorType, AccessorType, FunctionType, T>::setup(input_shape, data_type, data_layout,
info, policy, QuantizationInfo());
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class UpsampleLayerQuantizedFixture : public UpsampleLayerFixtureBase<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(TensorShape input_shape, DataType data_type, DataLayout data_layout,
Size2D info, const InterpolationPolicy &policy, QuantizationInfo quantization_info)
{
UpsampleLayerFixtureBase<TensorType, AccessorType, FunctionType, T>::setup(input_shape, data_type, data_layout,
info, policy, quantization_info);
}
};
} // namespace validation
} // namespace test
} // namespace arm_compute
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