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-rw-r--r--tests/validation/reference/LaplacianReconstruct.cpp69
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diff --git a/tests/validation/reference/LaplacianReconstruct.cpp b/tests/validation/reference/LaplacianReconstruct.cpp
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-/*
- * 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