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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 "arm_compute/core/Helpers.h"
#include "Convolution.h"
#include "Utils.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T>
SimpleTensor<T> convolution(const SimpleTensor<uint8_t> &src, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value,
const unsigned int width,
const unsigned int height)
{
ARM_COMPUTE_ERROR_ON(scale == 0);
ARM_COMPUTE_ERROR_ON(scale >= static_cast<unsigned int>(std::numeric_limits<int32_t>::max()));
SimpleTensor<T> dst(src.shape(), output_data_type);
SimpleTensor<int32_t> sum(src.shape(), output_data_type);
const uint32_t num_elements = src.num_elements();
#if defined(_OPENMP)
#pragma omp parallel for
#endif /* _OPENMP */
for(uint32_t element_idx = 0; element_idx < num_elements; ++element_idx)
{
const Coordinates id = index2coord(src.shape(), element_idx);
apply_2d_spatial_filter(id, src, sum, TensorShape(width, height), conv, 1, border_mode, constant_border_value);
dst[element_idx] = saturate_cast<T>(tensor_elem_at<int32_t>(sum, id, border_mode, constant_border_value) / static_cast<int>(scale));
}
return dst;
}
template SimpleTensor<uint8_t> convolution(const SimpleTensor<uint8_t> &src, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value,
const unsigned int widht, const unsigned int height);
template SimpleTensor<int16_t> convolution(const SimpleTensor<uint8_t> &src, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value,
const unsigned int widht, const unsigned int height);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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