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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.
*/
#include "BitwiseXor.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T>
SimpleTensor<T> bitwise_xor(const SimpleTensor<T> &src1, const SimpleTensor<T> &src2)
{
SimpleTensor<T> dst(src1.shape(), src1.data_type());
#if defined(_OPENMP)
#pragma omp parallel for
#endif /* _OPENMP */
for(int i = 0; i < src1.num_elements(); ++i)
{
dst[i] = src1[i] ^ src2[i];
}
return dst;
}
template SimpleTensor<uint8_t> bitwise_xor(const SimpleTensor<uint8_t> &src1, const SimpleTensor<uint8_t> &src2);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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