| /* |
| * 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 "Im2Col.h" |
| |
| #include "Permute.h" |
| |
| #include "arm_compute/core/Types.h" |
| #include "tests/validation/Helpers.h" |
| #include "tests/validation/reference/Utils.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T> |
| void im2col_nchw(const SimpleTensor<T> &src, SimpleTensor<T> &dst, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias) |
| { |
| ARM_COMPUTE_ERROR_ON(src.data_layout() != DataLayout::NCHW); |
| // Create reference |
| const int pad_x = conv_info.pad().first; |
| const int pad_y = conv_info.pad().second; |
| const int stride_x = conv_info.stride().first; |
| const int stride_y = conv_info.stride().second; |
| const int kernel_width = kernel_dims.width; |
| const int kernel_height = kernel_dims.height; |
| const int src_width = src.shape().x(); |
| const int src_height = src.shape().y(); |
| const int src_depth = src.shape().z(); |
| const int batches = src.shape().total_size_upper(3); |
| const int pad_val = is_data_type_quantized_asymmetric(src.data_type()) ? src.quantization_info().offset : 0; |
| |
| int dst_idx = 0; |
| for(int b = 0; b < batches; ++b) |
| { |
| for(int y = -pad_y; y <= (src_height + pad_y - kernel_height); y += stride_y) |
| { |
| for(int x = -pad_x; x <= (src_width + pad_x - kernel_width); x += stride_x) |
| { |
| for(int z = 0; z < src_depth; ++z) |
| { |
| for(int patch_y = y; patch_y < (y + kernel_height); ++patch_y) |
| { |
| for(int patch_x = x; patch_x < (x + kernel_width); ++patch_x) |
| { |
| dst[dst_idx++] = tensor_elem_at(src, Coordinates(patch_x, patch_y, z, b), BorderMode::CONSTANT, static_cast<T>(pad_val)); |
| } |
| } |
| } |
| |
| if(has_bias) |
| { |
| dst[dst_idx++] = static_cast<T>(1); |
| } |
| } |
| } |
| } |
| } |
| |
| template <typename T> |
| void im2col_nhwc(const SimpleTensor<T> &src, SimpleTensor<T> &dst, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias) |
| { |
| ARM_COMPUTE_ERROR_ON(src.data_layout() != DataLayout::NHWC); |
| const int pad_x = conv_info.pad().first; |
| const int pad_y = conv_info.pad().second; |
| const int stride_x = conv_info.stride().first; |
| const int stride_y = conv_info.stride().second; |
| const int kernel_width = kernel_dims.width; |
| const int kernel_height = kernel_dims.height; |
| const int src_width = src.shape().y(); |
| const int src_height = src.shape().z(); |
| const int src_depth = src.shape().x(); |
| const int batches = src.shape().total_size_upper(3); |
| const int pad_val = is_data_type_quantized_asymmetric(src.data_type()) ? src.quantization_info().offset : 0; |
| int dst_idx = 0; |
| for(int b = 0; b < batches; ++b) |
| { |
| for(int y = -pad_y; y <= (src_height + pad_y - kernel_height); y += stride_y) |
| { |
| for(int x = -pad_x; x <= (src_width + pad_x - kernel_width); x += stride_x) |
| { |
| for(int z = 0; z < src_depth; ++z) |
| { |
| for(int patch_y = y; patch_y < (y + kernel_height); ++patch_y) |
| { |
| for(int patch_x = x; patch_x < (x + kernel_width); ++patch_x) |
| { |
| dst[dst_idx++] = tensor_elem_at(src, Coordinates(z, patch_x, patch_y, b), BorderMode::CONSTANT, static_cast<T>(pad_val)); |
| } |
| } |
| } |
| |
| if(has_bias) |
| { |
| dst[dst_idx++] = static_cast<T>(1); |
| } |
| } |
| } |
| } |
| } |
| |
| template <typename T> |
| void im2col(const SimpleTensor<T> &src, SimpleTensor<T> &dst, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias) |
| { |
| switch(src.data_layout()) |
| { |
| case DataLayout::NCHW: |
| { |
| im2col_nchw(src, dst, kernel_dims, conv_info, has_bias); |
| break; |
| } |
| case DataLayout::NHWC: |
| { |
| im2col_nhwc(src, dst, kernel_dims, conv_info, has_bias); |
| break; |
| } |
| default: |
| { |
| ARM_COMPUTE_ERROR("Not supported."); |
| break; |
| } |
| } |
| } |
| |
| template void im2col(const SimpleTensor<uint8_t> &src, SimpleTensor<uint8_t> &dst, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias); |
| template void im2col(const SimpleTensor<half> &src, SimpleTensor<half> &dst, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias); |
| template void im2col(const SimpleTensor<float> &src, SimpleTensor<float> &dst, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |