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/*
* Copyright (c) 2017 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_DERIVATIVE_FIXTURE
#define ARM_COMPUTE_TEST_DERIVATIVE_FIXTURE
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/Types.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/reference/Derivative.h"
#include <memory>
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename U>
class DerivativeValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape shape, BorderMode border_mode, Format format, GradientDimension gradient_dimension)
{
// Generate a random constant value
std::mt19937 gen(library->seed());
std::uniform_int_distribution<uint8_t> int_dist(0, 255);
const uint8_t constant_border_value = int_dist(gen);
_border_mode = border_mode;
_target = compute_target(shape, border_mode, format, constant_border_value, gradient_dimension);
_reference = compute_reference(shape, border_mode, format, constant_border_value, gradient_dimension);
}
protected:
template <typename V>
void fill(V &&tensor)
{
library->fill_tensor_uniform(tensor, 0);
}
template <typename V>
void fill_zero(V &&tensor)
{
library->fill_tensor_uniform(tensor, 0, static_cast<U>(0), static_cast<U>(0));
}
std::pair<TensorType, TensorType> compute_target(const TensorShape &shape, BorderMode border_mode, Format format, uint8_t constant_border_value, GradientDimension gradient_dimension)
{
// Create tensors
TensorType src = create_tensor<TensorType>(shape, data_type_from_format(format));
TensorType dst_x = create_tensor<TensorType>(shape, data_type_from_format(Format::S16));
TensorType dst_y = create_tensor<TensorType>(shape, data_type_from_format(Format::S16));
src.info()->set_format(format);
dst_x.info()->set_format(Format::S16);
dst_y.info()->set_format(Format::S16);
FunctionType derivative;
switch(gradient_dimension)
{
case GradientDimension::GRAD_X:
derivative.configure(&src, &dst_x, nullptr, border_mode, constant_border_value);
break;
case GradientDimension::GRAD_Y:
derivative.configure(&src, nullptr, &dst_y, border_mode, constant_border_value);
break;
case GradientDimension::GRAD_XY:
derivative.configure(&src, &dst_x, &dst_y, border_mode, constant_border_value);
break;
default:
ARM_COMPUTE_ERROR("Gradient dimension not supported");
}
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst_x.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst_y.info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
src.allocator()->allocate();
dst_x.allocator()->allocate();
dst_y.allocator()->allocate();
ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!dst_x.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!dst_y.info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill tensors
fill(AccessorType(src));
fill_zero(AccessorType(dst_x));
fill_zero(AccessorType(dst_y));
// Compute function
derivative.run();
return std::make_pair(std::move(dst_x), std::move(dst_y));
}
std::pair<SimpleTensor<U>, SimpleTensor<U>> compute_reference(const TensorShape &shape, BorderMode border_mode, Format format, uint8_t constant_border_value, GradientDimension gradient_dimension)
{
// Create reference
SimpleTensor<T> src{ shape, format };
// Fill reference
fill(src);
return reference::derivative<U>(src, border_mode, constant_border_value, gradient_dimension);
}
BorderMode _border_mode{ BorderMode::UNDEFINED };
std::pair<TensorType, TensorType> _target{};
std::pair<SimpleTensor<U>, SimpleTensor<U>> _reference{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_DERIVATIVE_FIXTURE */
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