xref: /aosp_15_r20/external/ComputeLibrary/src/core/NEON/kernels/arm_gemm/bias_adder.hpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2019-2020 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 #pragma once
25 
26 namespace arm_gemm
27 {
28 
29 // Fallback routine to add bias to a block
30 template<typename T>
bias_adder(T * out,unsigned int stride,const T * bias,unsigned int rows,unsigned int cols)31 inline void bias_adder(T *out, unsigned int stride, const T *bias, unsigned int rows, unsigned int cols) {
32     for (unsigned int row=0; row<rows; row++) {
33         for (unsigned int col=0; col<cols; col++) {
34             out[row * stride + col] += bias[col];
35         }
36     }
37 }
38 
39 template<bool DoBias, typename T>
activator(T * out,unsigned int stride,const T * bias,Activation act,unsigned int rows,unsigned int cols)40 inline void activator(T *out, unsigned int stride, const T *bias, Activation act, unsigned int rows, unsigned int cols) {
41     if (act.type == Activation::Type::None) {
42         if (DoBias) {
43             bias_adder(out, stride, bias, rows, cols);
44         }
45         return;
46     }
47 
48     if (act.type == Activation::Type::ReLU) {
49         for (unsigned int row=0; row<rows; row++) {
50             for (unsigned int col=0; col<cols; col++) {
51                 T &v = out[row * stride + col];
52                 if (DoBias) {
53                     v += bias[col];
54                 }
55                 v = std::max(static_cast<T>(0), v);
56             }
57         }
58     }
59 
60     if (act.type == Activation::Type::BoundedReLU) {
61         const T max = static_cast<T>(act.param1);
62 
63         for (unsigned int row=0; row<rows; row++) {
64             for (unsigned int col=0; col<cols; col++) {
65                 T &v = out[row * stride + col];
66                 if (DoBias) {
67                     v += bias[col];
68                 }
69                 v = std::max(static_cast<T>(0), std::min(v, max));
70             }
71         }
72     }
73 }
74 
75 } // namespace arm_gemm
76