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/*
* Copyright (c) 2017-2020 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.
*/
#ifndef ARM_COMPUTE_TEST_NEON_HELPER_H
#define ARM_COMPUTE_TEST_NEON_HELPER_H
#include "arm_compute/runtime/Array.h"
#include "arm_compute/runtime/NEON/INESimpleFunction.h"
#include "support/MemorySupport.h"
#include "tests/Globals.h"
#include <algorithm>
#include <array>
#include <vector>
namespace arm_compute
{
namespace test
{
template <typename D, typename T, typename... Ts>
void fill_tensors(D &&dist, std::initializer_list<int> seeds, T &&tensor, Ts &&... other_tensors)
{
const std::array < T, 1 + sizeof...(Ts) > tensors{ { std::forward<T>(tensor), std::forward<Ts>(other_tensors)... } };
std::vector<int> vs(seeds);
ARM_COMPUTE_ERROR_ON(vs.size() != tensors.size());
int k = 0;
for(auto tp : tensors)
{
library->fill(Accessor(*tp), std::forward<D>(dist), vs[k++]);
}
}
/** This template synthetizes an INESimpleFunction which runs the given kernel K */
template <typename K>
class NESynthetizeFunction : public INESimpleFunction
{
public:
/** Configure the kernel.
*
* @param[in] args Configuration arguments.
*/
template <typename... Args>
void configure(Args &&... args)
{
auto k = arm_compute::support::cpp14::make_unique<K>();
k->configure(std::forward<Args>(args)...);
_kernel = std::move(k);
}
/** Validate input arguments
*
* @param[in] args Configuration arguments.
*/
template <typename... Args>
static Status validate(Args &&... args)
{
return K::validate(std::forward<Args>(args)...);
}
};
/** As above but this also setups a Zero border on the input tensor of the specified bordersize */
template <typename K, int bordersize>
class NESynthetizeFunctionWithZeroConstantBorder : public INESimpleFunction
{
public:
/** Configure the kernel.
*
* @param[in] first First configuration argument.
* @param[in] args Rest of the configuration arguments.
*/
template <typename T, typename... Args>
void configure(T first, Args &&... args)
{
auto k = arm_compute::support::cpp14::make_unique<K>();
k->configure(first, std::forward<Args>(args)...);
_kernel = std::move(k);
_border_handler.configure(first, BorderSize(bordersize), BorderMode::CONSTANT, PixelValue());
}
};
/** As above but this also setups a Zero border on the input tensor of the kernel's bordersize */
template <typename K>
class NESynthetizeFunctionWithZeroConstantKernelBorder : public INESimpleFunction
{
public:
/** Configure the kernel.
*
* @param[in] first First configuration argument.
* @param[in] args Rest of the configuration arguments.
*/
template <typename T, typename... Args>
void configure(T first, Args &&... args)
{
auto k = arm_compute::support::cpp14::make_unique<K>();
k->configure(first, std::forward<Args>(args)...);
_kernel = std::move(k);
_border_handler.configure(first, BorderSize(_kernel->border_size()), BorderMode::CONSTANT, PixelValue());
}
};
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_NEON_HELPER_H */
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