Giorgio Arena | 156fcf3 | 2018-03-09 15:30:43 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2018 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "Im2Col.h" |
| 25 | |
| 26 | #include "Permute.h" |
| 27 | |
| 28 | #include "arm_compute/core/Types.h" |
| 29 | #include "tests/validation/Helpers.h" |
| 30 | #include "tests/validation/reference/Utils.h" |
| 31 | |
| 32 | namespace arm_compute |
| 33 | { |
| 34 | namespace test |
| 35 | { |
| 36 | namespace validation |
| 37 | { |
| 38 | namespace reference |
| 39 | { |
| 40 | template <typename T> |
| 41 | void im2col_nchw(const SimpleTensor<T> &src, SimpleTensor<T> &dst, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias) |
| 42 | { |
| 43 | // Create reference |
| 44 | const int pad_x = conv_info.pad().first; |
| 45 | const int pad_y = conv_info.pad().second; |
| 46 | const int stride_x = conv_info.stride().first; |
| 47 | const int stride_y = conv_info.stride().second; |
| 48 | const int kernel_width = kernel_dims.width; |
| 49 | const int kernel_height = kernel_dims.height; |
| 50 | const int src_width = src.shape().x(); |
| 51 | const int src_height = src.shape().y(); |
| 52 | const int src_depth = src.shape().z(); |
| 53 | const int batches = src.shape().total_size_upper(3); |
| 54 | const int pad_val = is_data_type_quantized_asymmetric(src.data_type()) ? src.quantization_info().offset : 0; |
| 55 | |
| 56 | int dst_idx = 0; |
| 57 | for(int b = 0; b < batches; ++b) |
| 58 | { |
| 59 | for(int y = -pad_y; y <= (src_height + pad_y - kernel_height); y += stride_y) |
| 60 | { |
| 61 | for(int x = -pad_x; x <= (src_width + pad_x - kernel_width); x += stride_x) |
| 62 | { |
| 63 | for(int z = 0; z < src_depth; ++z) |
| 64 | { |
| 65 | for(int patch_y = y; patch_y < (y + kernel_height); ++patch_y) |
| 66 | { |
| 67 | for(int patch_x = x; patch_x < (x + kernel_width); ++patch_x) |
| 68 | { |
| 69 | dst[dst_idx++] = tensor_elem_at(src, Coordinates(patch_x, patch_y, z, b), BorderMode::CONSTANT, static_cast<T>(pad_val)); |
| 70 | } |
| 71 | } |
| 72 | } |
| 73 | |
| 74 | if(has_bias) |
| 75 | { |
| 76 | dst[dst_idx++] = static_cast<T>(1); |
| 77 | } |
| 78 | } |
| 79 | } |
| 80 | } |
| 81 | } |
| 82 | |
| 83 | template <typename T> |
| 84 | SimpleTensor<T> im2col(const SimpleTensor<T> &src, const TensorShape &dst_shape, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias) |
| 85 | { |
| 86 | SimpleTensor<T> dst{ dst_shape, src.data_type(), 1, src.fixed_point_position(), src.quantization_info() }; |
| 87 | |
| 88 | if(src.data_layout() == DataLayout::NHWC) |
| 89 | { |
| 90 | SimpleTensor<T> src_nchw = reference::permute<T>(src, PermutationVector(1U, 2U, 0U)); |
| 91 | SimpleTensor<T> dst_nchw = reference::permute<T>(dst, PermutationVector(1U, 2U, 0U)); |
| 92 | |
| 93 | im2col_nchw(src_nchw, dst_nchw, kernel_dims, conv_info, has_bias); |
| 94 | |
| 95 | return reference::permute<T>(dst_nchw, PermutationVector(2U, 0U, 1U)); |
| 96 | } |
| 97 | |
| 98 | im2col_nchw(src, dst, kernel_dims, conv_info, has_bias); |
| 99 | |
| 100 | return dst; |
| 101 | } |
| 102 | |
| 103 | template SimpleTensor<uint8_t> im2col(const SimpleTensor<uint8_t> &src, const TensorShape &output_shape, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias); |
| 104 | template SimpleTensor<half> im2col(const SimpleTensor<half> &src, const TensorShape &output_shape, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias); |
| 105 | template SimpleTensor<float> im2col(const SimpleTensor<float> &src, const TensorShape &output_shape, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias); |
| 106 | } // namespace reference |
| 107 | } // namespace validation |
| 108 | } // namespace test |
| 109 | } // namespace arm_compute |