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 "BatchToSpaceLayer.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 // Batch to Space
37 template <typename T>
batch_to_space(const SimpleTensor<T> & src,const SimpleTensor<int32_t> & block_shape,const TensorShape & dst_shape)38 SimpleTensor<T> batch_to_space(const SimpleTensor<T> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape)
39 {
40 ARM_COMPUTE_ERROR_ON(block_shape[0] <= 0);
41 ARM_COMPUTE_ERROR_ON(block_shape[1] <= 0);
42 SimpleTensor<T> result(dst_shape, src.data_type());
43
44 int in_pos = 0;
45 const auto width_in = static_cast<int>(src.shape()[0]);
46 const auto height_in = static_cast<int>(src.shape()[1]);
47 const auto z_in = static_cast<int>(src.shape()[2]);
48 const auto batch_in = static_cast<int>(src.shape()[3]);
49
50 for(int batch = 0; batch < batch_in; ++batch)
51 {
52 for(int z = 0; z < z_in; ++z)
53 {
54 for(int y = 0; y < height_in; ++y)
55 {
56 for(int x = 0; x < width_in; ++x)
57 {
58 const int r = src.shape()[3] / (block_shape[0] * block_shape[1]);
59 const int out_x = (block_shape[0] * x + (batch / r) % block_shape[0]);
60 const int out_y = (block_shape[1] * y + (batch / r) / block_shape[0]);
61 const int out_pos = out_x + dst_shape[0] * out_y + z * dst_shape[0] * dst_shape[1] + (batch % r) * dst_shape[0] * dst_shape[1] * dst_shape[2];
62 result[out_pos] = src[in_pos];
63 ++in_pos;
64 }
65 }
66 }
67 }
68
69 return result;
70 }
71 template SimpleTensor<float> batch_to_space(const SimpleTensor<float> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape);
72 template SimpleTensor<half> batch_to_space(const SimpleTensor<half> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape);
73 } // namespace reference
74 } // namespace validation
75 } // namespace test
76 } // namespace arm_compute
77