| /* |
| * Copyright (c) 2017-2019 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(); |
| 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 |