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Diffstat (limited to 'tests/validation/reference/LaplacianReconstruct.cpp')
-rw-r--r-- | tests/validation/reference/LaplacianReconstruct.cpp | 69 |
1 files changed, 0 insertions, 69 deletions
diff --git a/tests/validation/reference/LaplacianReconstruct.cpp b/tests/validation/reference/LaplacianReconstruct.cpp deleted file mode 100644 index 2a0fcc2a65..0000000000 --- a/tests/validation/reference/LaplacianReconstruct.cpp +++ /dev/null @@ -1,69 +0,0 @@ -/* - * Copyright (c) 2018 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 "LaplacianReconstruct.h" - -#include "arm_compute/core/Types.h" -#include "tests/validation/reference/ArithmeticOperations.h" -#include "tests/validation/reference/DepthConvertLayer.h" -#include "tests/validation/reference/Scale.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -namespace reference -{ -template <typename T, typename U> -SimpleTensor<U> laplacian_reconstruct(const std::vector<SimpleTensor<T>> &pyramid, const SimpleTensor<T> &low_res, BorderMode border_mode, T constant_border_value) -{ - std::vector<SimpleTensor<T>> tmp_pyramid(pyramid); - - const size_t last_level = pyramid.size() - 1; - const DataType data_type = low_res.data_type(); - - // input + L(n-1) - tmp_pyramid[last_level] = reference::arithmetic_operation(reference::ArithmeticOperation::ADD, low_res, pyramid[last_level], data_type, ConvertPolicy::SATURATE); - - // Scale levels n-1 to 1, and add levels n-2 to 0 - for(size_t i = last_level; i-- > 0;) - { - const float scale_x = static_cast<float>(tmp_pyramid[i].shape().x()) / tmp_pyramid[i + 1].shape().x(); - const float scale_y = static_cast<float>(tmp_pyramid[i].shape().y()) / tmp_pyramid[i + 1].shape().y(); - - tmp_pyramid[i] = reference::scale(tmp_pyramid[i + 1], scale_x, scale_y, InterpolationPolicy::NEAREST_NEIGHBOR, - border_mode, constant_border_value, SamplingPolicy::CENTER, false); - - tmp_pyramid[i] = reference::arithmetic_operation(reference::ArithmeticOperation::ADD, tmp_pyramid[i], pyramid[i], data_type, ConvertPolicy::SATURATE); - } - - return reference::depth_convert<T, U>(tmp_pyramid[0], DataType::U8, ConvertPolicy::SATURATE, 0); -} - -template SimpleTensor<uint8_t> laplacian_reconstruct(const std::vector<SimpleTensor<int16_t>> &pyramid, const SimpleTensor<int16_t> &low_res, BorderMode border_mode, int16_t constant_border_value); -} // namespace reference -} // namespace validation -} // namespace test -} // namespace arm_compute |