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 "WeightsReshape.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>
weights_reshape(const SimpleTensor<T> & src,const SimpleTensor<T> & biases,const TensorShape & dst_shape,const unsigned int num_groups)38 SimpleTensor<T> weights_reshape(const SimpleTensor<T> &src, const SimpleTensor<T> &biases, const TensorShape &dst_shape, const unsigned int num_groups)
39 {
40 SimpleTensor<T> dst{ dst_shape, src.data_type(), 1 };
41
42 // Compute reference
43 const bool has_bias = biases.size() > 0;
44 const size_t linear_sz = src.shape().total_size_lower(3);
45 const size_t group_sz = src.shape()[3] / num_groups;
46
47 for(size_t g = 0; g < num_groups; ++g)
48 {
49 for(size_t w = 0; w < group_sz; ++w)
50 {
51 const size_t curr_weight = g * group_sz + w;
52
53 size_t i = 0;
54 for(; i < linear_sz; ++i)
55 {
56 dst[coord2index(dst.shape(), Coordinates(w, i, g))] = src[curr_weight * linear_sz + i];
57 }
58 if(has_bias)
59 {
60 dst[coord2index(dst.shape(), Coordinates(w, i, g))] = static_cast<T>(biases[curr_weight]);
61 }
62 }
63 }
64
65 return dst;
66 }
67
68 template SimpleTensor<float> weights_reshape(const SimpleTensor<float> &src, const SimpleTensor<float> &biases, const TensorShape &dst_shape, const unsigned int num_groups);
69 template SimpleTensor<half> weights_reshape(const SimpleTensor<half> &src, const SimpleTensor<half> &biases, const TensorShape &dst_shape, const unsigned int num_groups);
70 template SimpleTensor<uint8_t> weights_reshape(const SimpleTensor<uint8_t> &src, const SimpleTensor<uint8_t> &biases, const TensorShape &dst_shape, const unsigned int num_groups);
71 } // namespace reference
72 } // namespace validation
73 } // namespace test
74 } // namespace arm_compute
75