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Michele Di Giorgio980002b2018-08-08 09:25:51 +01001/*
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 "Col2Im.h"
25
26#include "tests/validation/Helpers.h"
27#include "tests/validation/reference/Utils.h"
28
29namespace arm_compute
30{
31namespace test
32{
33namespace validation
34{
35namespace reference
36{
37template <typename T>
38SimpleTensor<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
Georgios Pinitase55b40a2018-09-13 17:20:04 +010043 const size_t batches = dst_shape.total_size() / (dst_shape.x() * dst_shape.y() * dst_shape.z());
Michele Di Giorgio980002b2018-08-08 09:25:51 +010044 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 int dst_idx = 0;
51 for(size_t b = 0; b < batches; ++b)
52 {
53 for(size_t x = 0; x < src_width; ++x)
54 {
55 for(size_t y = 0; y < src_height; ++y)
56 {
57 dst[dst_idx++] = src[coord2index(src.shape(), Coordinates(x, y, b))];
58 }
59 }
60 }
61 }
62 else
63 {
64 int dst_idx = 0;
65 for(size_t b = 0; b < batches; ++b)
66 {
67 for(size_t g = 0; g < num_groups; ++g)
68 {
69 for(size_t x = 0; x < src_width; ++x)
70 {
71 for(size_t y = 0; y < src_height; ++y)
72 {
73 dst[dst_idx++] = src[coord2index(src.shape(), Coordinates(x, y, g, b))];
74 }
75 }
76 }
77 }
78 }
79 return dst;
80}
81
82template SimpleTensor<float> col2im(const SimpleTensor<float> &src, const TensorShape &dst_shape, unsigned int num_groups);
83template SimpleTensor<half> col2im(const SimpleTensor<half> &src, const TensorShape &dst_shape, unsigned int num_groups);
84template SimpleTensor<uint8_t> col2im(const SimpleTensor<uint8_t> &src, const TensorShape &dst_shape, unsigned int num_groups);
85} // namespace reference
86} // namespace validation
87} // namespace test
88} // namespace arm_compute