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