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-rw-r--r--tests/validation/reference/Convolution.cpp68
1 files changed, 0 insertions, 68 deletions
diff --git a/tests/validation/reference/Convolution.cpp b/tests/validation/reference/Convolution.cpp
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index ad93b3077a..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