1 /* 2 * Copyright (c) 2018-2020 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 "Col2Im.h" 25 26 #include "tests/validation/Helpers.h" 27 #include "tests/validation/reference/Utils.h" 28 29 namespace arm_compute 30 { 31 namespace test 32 { 33 namespace validation 34 { 35 namespace reference 36 { 37 template <typename T> col2im(const SimpleTensor<T> & src,const TensorShape & dst_shape,unsigned int num_groups)38 SimpleTensor<T> col2im(const SimpleTensor<T> &src, const TensorShape &dst_shape, unsigned int num_groups) 39 { 40 SimpleTensor<T> dst{ dst_shape, src.data_type(), 1 }; 41 42 // Compute reference 43 const size_t batches = dst_shape.total_size() / (dst_shape.x() * dst_shape.y() * dst_shape.z()); 44 const size_t src_width = src.shape().x(); 45 const size_t src_height = src.shape().y(); 46 47 if(num_groups == 1) 48 { 49 // Batches are on the 3rd dimension of the input tensor 50 #if defined(_OPENMP) 51 #pragma omp parallel for collapse(3) 52 #endif /* _OPENMP */ 53 for(size_t b = 0; b < batches; ++b) 54 { 55 for(size_t x = 0; x < src_width; ++x) 56 { 57 for(size_t y = 0; y < src_height; ++y) 58 { 59 const int dst_idx = y + x * src_height + b * src_height * src_width; 60 dst[dst_idx] = src[coord2index(src.shape(), Coordinates(x, y, b))]; 61 } 62 } 63 } 64 } 65 else 66 { 67 #if defined(_OPENMP) 68 #pragma omp parallel for collapse(4) 69 #endif /* _OPENMP */ 70 for(size_t b = 0; b < batches; ++b) 71 { 72 for(size_t g = 0; g < num_groups; ++g) 73 { 74 for(size_t x = 0; x < src_width; ++x) 75 { 76 for(size_t y = 0; y < src_height; ++y) 77 { 78 const int dst_idx = y + x * src_height + g * src_height * src_width + b * src_height * src_width * num_groups; 79 dst[dst_idx] = src[coord2index(src.shape(), Coordinates(x, y, g, b))]; 80 } 81 } 82 } 83 } 84 } 85 return dst; 86 } 87 88 template SimpleTensor<float> col2im(const SimpleTensor<float> &src, const TensorShape &dst_shape, unsigned int num_groups); 89 template SimpleTensor<half> col2im(const SimpleTensor<half> &src, const TensorShape &dst_shape, unsigned int num_groups); 90 template SimpleTensor<uint8_t> col2im(const SimpleTensor<uint8_t> &src, const TensorShape &dst_shape, unsigned int num_groups); 91 } // namespace reference 92 } // namespace validation 93 } // namespace test 94 } // namespace arm_compute 95