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-rw-r--r--tests/validation/reference/Derivative.cpp106
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diff --git a/tests/validation/reference/Derivative.cpp b/tests/validation/reference/Derivative.cpp
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--- a/tests/validation/reference/Derivative.cpp
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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 "Derivative.h"
-
-#include "Utils.h"
-#include "tests/Types.h"
-
-#include <array>
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace reference
-{
-namespace
-{
-const std::array<int8_t, 9> derivative_3_x{ { 0, 0, 0, -1, 0, 1, 0, 0, 0 } };
-const std::array<int8_t, 9> derivative_3_y{ { 0, -1, 0, 0, 0, 0, 0, 1, 0 } };
-
-template <typename T>
-struct data_type;
-
-template <>
-struct data_type<int16_t>
-{
- const static DataType value = DataType::S16;
-};
-} // namespace
-
-template <typename T, typename U>
-std::pair<SimpleTensor<T>, SimpleTensor<T>> derivative(const SimpleTensor<U> &src, BorderMode border_mode, uint8_t constant_border_value, GradientDimension gradient_dimension)
-{
- const unsigned int filter_size = 3;
-
- SimpleTensor<T> dst_x(src.shape(), data_type<T>::value, src.num_channels());
- SimpleTensor<T> dst_y(src.shape(), data_type<T>::value, src.num_channels());
-
- ValidRegion valid_region = shape_to_valid_region(src.shape(), border_mode == BorderMode::UNDEFINED, BorderSize(filter_size / 2));
-
- const uint32_t num_elements = src.num_elements();
-#if defined(_OPENMP)
- #pragma omp parallel for
-#endif /* _OPENMP */
- for(uint32_t i = 0; i < num_elements; ++i)
- {
- Coordinates coord = index2coord(src.shape(), i);
-
- if(!is_in_valid_region(valid_region, coord))
- {
- continue;
- }
-
- switch(gradient_dimension)
- {
- case GradientDimension::GRAD_X:
- apply_2d_spatial_filter(coord, src, dst_x, TensorShape{ filter_size, filter_size }, derivative_3_x.data(), 1.f, border_mode,
- constant_border_value);
- break;
- case GradientDimension::GRAD_Y:
- apply_2d_spatial_filter(coord, src, dst_y, TensorShape{ filter_size, filter_size }, derivative_3_y.data(), 1.f, border_mode,
- constant_border_value);
- break;
- case GradientDimension::GRAD_XY:
- apply_2d_spatial_filter(coord, src, dst_x, TensorShape{ filter_size, filter_size }, derivative_3_x.data(), 1.f, border_mode,
- constant_border_value);
- apply_2d_spatial_filter(coord, src, dst_y, TensorShape{ filter_size, filter_size }, derivative_3_y.data(), 1.f, border_mode,
- constant_border_value);
- break;
- default:
- ARM_COMPUTE_ERROR("Gradient dimension not supported");
- }
- }
-
- return std::make_pair(dst_x, dst_y);
-}
-
-template std::pair<SimpleTensor<int16_t>, SimpleTensor<int16_t>> derivative(const SimpleTensor<uint8_t> &src, BorderMode border_mode, uint8_t constant_border_value,
- GradientDimension gradient_dimension);
-} // namespace reference
-} // namespace validation
-} // namespace test
-} // namespace arm_compute