1 /*
2 * Copyright (c) 2019, 2022 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 "MeanStdDevNormalizationLayer.h"
25
26 #include "arm_compute/core/Types.h"
27
28 namespace arm_compute
29 {
30 namespace test
31 {
32 namespace validation
33 {
34 namespace reference
35 {
36 template <typename T>
mean_std_normalization_layer(const SimpleTensor<T> & src,float epsilon)37 SimpleTensor<T> mean_std_normalization_layer(const SimpleTensor<T> &src, float epsilon)
38 {
39 // Create reference
40 SimpleTensor<T> dst{ src.shape(), src.data_type(), 1 };
41
42 const int cols = src.shape()[0];
43 const int batch_size = src.shape()[1];
44
45 for(int i = 0; i < batch_size; ++i)
46 {
47 T sum = static_cast<T>(0.f);
48 T sum_sq = static_cast<T>(0.f);
49 for(int j = 0; j < cols; ++j)
50 {
51 const T value = src[j + i * cols];
52 sum += value;
53 sum_sq += value * value;
54 }
55 const T mean = sum / static_cast<T>(cols);
56 const T var = ((sum_sq / static_cast<T>(cols)) - (mean * mean)) + static_cast<T>(epsilon);
57 const T stddev_inv = static_cast<T>(1.f) / static_cast<T>(std::sqrt(var));
58 for(int j = 0; j < cols; ++j)
59 {
60 dst[j + i * cols] = (src[j + i * cols] - mean) * stddev_inv;
61 }
62 }
63 return dst;
64 }
65
66 template <>
mean_std_normalization_layer(const SimpleTensor<uint8_t> & src,float epsilon)67 SimpleTensor<uint8_t> mean_std_normalization_layer(const SimpleTensor<uint8_t> &src, float epsilon)
68 {
69 SimpleTensor<float> src_tmp = convert_from_asymmetric(src);
70 SimpleTensor<float> dst_tmp = mean_std_normalization_layer<float>(src_tmp, epsilon);
71 SimpleTensor<uint8_t> dst = convert_to_asymmetric<uint8_t>(dst_tmp, src.quantization_info());
72 return dst;
73 }
74
75 template SimpleTensor<float> mean_std_normalization_layer(const SimpleTensor<float> &src, float epsilon);
76 template SimpleTensor<half> mean_std_normalization_layer(const SimpleTensor<half> &src, float epsilon);
77 } // namespace reference
78 } // namespace validation
79 } // namespace test
80 } // namespace arm_compute
81