| /* |
| * Copyright (c) 2018-2019 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 "PadLayer.h" |
| |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "tests/validation/Helpers.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T> |
| SimpleTensor<T> pad_layer(const SimpleTensor<T> &src, const PaddingList &paddings, const PixelValue const_value, const PaddingMode mode) |
| { |
| const DataType dst_data_type = src.data_type(); |
| |
| const TensorShape orig_shape = src.shape(); |
| |
| std::vector<PaddingInfo> paddings_extended = paddings; |
| |
| for(size_t i = paddings.size(); i < TensorShape::num_max_dimensions; ++i) |
| { |
| paddings_extended.emplace_back(PaddingInfo{ 0, 0 }); |
| } |
| |
| const TensorShape padded_shape = misc::shape_calculator::compute_padded_shape(orig_shape, paddings); |
| |
| SimpleTensor<T> dst(padded_shape, dst_data_type); |
| |
| // Reference algorithm: loop over the different dimension of the input. |
| const uint32_t num_elements = dst.num_elements(); |
| for(uint32_t idx = 0; idx < num_elements; ++idx) |
| { |
| const Coordinates coord = index2coord(padded_shape, idx); |
| |
| const size_t i = coord.x(); |
| const size_t j = coord.y(); |
| const size_t k = coord.z(); |
| const size_t l = coord[3]; |
| const size_t m = coord[4]; |
| const size_t n = coord[5]; |
| |
| const std::array<size_t, TensorShape::num_max_dimensions> dims = { { 0, 1, 2, 3, 4, 5 } }; |
| const std::array<size_t, TensorShape::num_max_dimensions> coords = { { i, j, k, l, m, n } }; |
| auto is_padding_area = [&](size_t i) |
| { |
| return (coords[i] < paddings_extended[i].first || coords[i] > orig_shape[i] + paddings_extended[i].first - 1); |
| }; |
| |
| auto orig_coord_reflect = [&](size_t i) |
| { |
| if(is_padding_area(i)) |
| { |
| if(coords[i] < paddings_extended[i].first) |
| { |
| return paddings_extended[i].first - coords[i]; |
| } |
| else |
| { |
| return 2 * orig_shape[i] + paddings_extended[i].first - 2 - coords[i]; |
| } |
| } |
| return coords[i] - paddings_extended[i].first; |
| }; |
| |
| auto orig_coord_symm = [&](size_t i) |
| { |
| if(is_padding_area(i)) |
| { |
| if(coords[i] < paddings_extended[i].first) |
| { |
| return paddings_extended[i].first - coords[i] - 1; |
| } |
| else |
| { |
| return 2 * orig_shape[i] + paddings_extended[i].first - 1 - coords[i]; |
| } |
| } |
| return coords[i] - paddings_extended[i].first; |
| }; |
| |
| // If the tuple [i,j,k,l,m] is in the padding area, then simply set the value |
| if(std::any_of(dims.begin(), dims.end(), is_padding_area)) |
| { |
| switch(mode) |
| { |
| case PaddingMode::CONSTANT: |
| const_value.get(dst[idx]); |
| break; |
| case PaddingMode::REFLECT: |
| { |
| const Coordinates orig_coords{ orig_coord_reflect(0), |
| orig_coord_reflect(1), |
| orig_coord_reflect(2), |
| orig_coord_reflect(3), |
| orig_coord_reflect(4), |
| orig_coord_reflect(5) }; |
| |
| const size_t idx_src = coord2index(orig_shape, orig_coords); |
| dst[idx] = src[idx_src]; |
| break; |
| } |
| case PaddingMode::SYMMETRIC: |
| { |
| const Coordinates orig_coords{ orig_coord_symm(0), |
| orig_coord_symm(1), |
| orig_coord_symm(2), |
| orig_coord_symm(3), |
| orig_coord_symm(4), |
| orig_coord_symm(5) }; |
| |
| const size_t idx_src = coord2index(orig_shape, orig_coords); |
| dst[idx] = src[idx_src]; |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Padding mode not supported."); |
| break; |
| } |
| } |
| else |
| { |
| // If the tuple[i,j,k,l,m] is not in the padding area, then copy the input into the output |
| |
| const Coordinates orig_coords |
| { |
| i - paddings_extended[0].first, |
| j - paddings_extended[1].first, |
| k - paddings_extended[2].first, |
| l - paddings_extended[3].first, |
| m - paddings_extended[4].first, |
| n - paddings_extended[5].first |
| }; |
| |
| const size_t idx_src = coord2index(orig_shape, orig_coords); |
| dst[idx] = src[idx_src]; |
| } |
| } |
| |
| return dst; |
| } |
| |
| template SimpleTensor<float> pad_layer(const SimpleTensor<float> &src, const PaddingList &paddings, const PixelValue const_value = PixelValue(), const PaddingMode mode); |
| template SimpleTensor<half> pad_layer(const SimpleTensor<half> &src, const PaddingList &paddings, const PixelValue const_value = PixelValue(), const PaddingMode mode); |
| template SimpleTensor<uint8_t> pad_layer(const SimpleTensor<uint8_t> &src, const PaddingList &paddings, const PixelValue const_value = PixelValue(), const PaddingMode mode); |
| template SimpleTensor<int8_t> pad_layer(const SimpleTensor<int8_t> &src, const PaddingList &paddings, const PixelValue const_value = PixelValue(), const PaddingMode mode); |
| template SimpleTensor<uint16_t> pad_layer(const SimpleTensor<uint16_t> &src, const PaddingList &paddings, const PixelValue const_value = PixelValue(), const PaddingMode mode); |
| template SimpleTensor<int16_t> pad_layer(const SimpleTensor<int16_t> &src, const PaddingList &paddings, const PixelValue const_value = PixelValue(), const PaddingMode mode); |
| template SimpleTensor<uint32_t> pad_layer(const SimpleTensor<uint32_t> &src, const PaddingList &paddings, const PixelValue const_value = PixelValue(), const PaddingMode mode); |
| template SimpleTensor<int32_t> pad_layer(const SimpleTensor<int32_t> &src, const PaddingList &paddings, const PixelValue const_value = PixelValue(), const PaddingMode mode); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |