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Diffstat (limited to 'tests/validation/reference/Convolution.cpp')
-rw-r--r-- | tests/validation/reference/Convolution.cpp | 68 |
1 files changed, 0 insertions, 68 deletions
diff --git a/tests/validation/reference/Convolution.cpp b/tests/validation/reference/Convolution.cpp deleted file mode 100644 index 0a4e04392e..0000000000 --- a/tests/validation/reference/Convolution.cpp +++ /dev/null @@ -1,68 +0,0 @@ -/* - * 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 |