1 /*
2 * Copyright (c) 2019 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 "SpaceToDepth.h"
25
26 #include "tests/validation/Helpers.h"
27
28 namespace arm_compute
29 {
30 namespace test
31 {
32 namespace validation
33 {
34 namespace reference
35 {
36 // Space to Batch
37 template <typename T>
space_to_depth(const SimpleTensor<T> & src,const TensorShape & dst_shape,const int block_shape)38 SimpleTensor<T> space_to_depth(const SimpleTensor<T> &src, const TensorShape &dst_shape, const int block_shape)
39 {
40 SimpleTensor<T> result(dst_shape, src.data_type());
41
42 const auto width_out = static_cast<int>(dst_shape[0]);
43 const auto height_out = static_cast<int>(dst_shape[1]);
44 const auto channel_out = static_cast<int>(dst_shape[2]);
45
46 const auto width_in = static_cast<int>(src.shape()[0]);
47 const auto height_in = static_cast<int>(src.shape()[1]);
48 const auto channel_in = static_cast<int>(src.shape()[2]);
49
50 const auto batch = static_cast<int>(src.shape()[3]);
51
52 const auto block_width = block_shape;
53 const auto block_height = block_shape;
54
55 int out_pos = 0;
56 for(int ba = 0; ba < batch; ++ba)
57 {
58 for(int outC = 0; outC < channel_out; ++outC)
59 {
60 unsigned int inC = outC % channel_in;
61
62 int shift_w = (outC / channel_in) % block_width;
63 int shift_h = (outC / channel_in) / block_width;
64
65 for(int outH = 0; outH < height_out; ++outH)
66 {
67 for(int outW = 0; outW < width_out; ++outW)
68 {
69 const auto in_pos = ((ba * channel_in + inC) * height_in + ((outH * block_height + shift_h))) * width_in + (outW * block_width + shift_w);
70 result[out_pos] = src[in_pos];
71 ++out_pos;
72 }
73 }
74 }
75 }
76 return result;
77 }
78
79 template SimpleTensor<float> space_to_depth(const SimpleTensor<float> &src, const TensorShape &dst_shape, const int block_shape);
80 template SimpleTensor<half> space_to_depth(const SimpleTensor<half> &src, const TensorShape &dst_shape, const int block_shape);
81 } // namespace reference
82 } // namespace validation
83 } // namespace test
84 } // namespace arm_compute
85