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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_NEON_HELPER_H__
#define __ARM_COMPUTE_TEST_NEON_HELPER_H__
#include "arm_compute/runtime/Array.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++]);
}
}
} // namespace test
} // namespace arm_compute
#endif /* __ARM_COMPUTE_TEST_NEON_HELPER_H__ */
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