1 /*
2 * SPDX-FileCopyrightText: Copyright 2023-2024 Arm Limited and/or its affiliates <open-source-office@arm.com>
3 *
4 * SPDX-License-Identifier: Apache-2.0
5 *
6 * Licensed under the Apache License, Version 2.0 (the License); you may
7 * not use this file except in compliance with the License.
8 * You may obtain a copy of the License at
9 *
10 * www.apache.org/licenses/LICENSE-2.0
11 *
12 * Unless required by applicable law or agreed to in writing, software
13 * distributed under the License is distributed on an AS IS BASIS, WITHOUT
14 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
15 * See the License for the specific language governing permissions and
16 * limitations under the License.
17 */
18
19 /* ----------------------------------------------------------------------
20 * Project: CMSIS NN Library
21 * Title: arm_vector_sum_s8
22 * Description: Generic function for calculating vector sums
23 *
24 * $Date: 15 February 2024
25 * $Revision: V.2.0.1
26 *
27 * Target : Arm(R) M-Profile Architecture
28 *
29 * -------------------------------------------------------------------- */
30
31 #include "arm_nnfunctions.h"
32 #include "arm_nnsupportfunctions.h"
33 /**
34 * @ingroup Public
35 */
36
37 /**
38 * @addtogroup FC
39 * @{
40 */
41
42 /*
43 * S8 vector sum fuction in preparation for e.g. kernel sums in fully connected and matrix multiplication layer function
44 *
45 * Refer header file for details.
46 *
47 */
arm_vector_sum_s8(int32_t * vector_sum_buf,const int32_t vector_cols,const int32_t vector_rows,const int8_t * vector_data,const int32_t lhs_offset,const int32_t * bias_data)48 arm_cmsis_nn_status arm_vector_sum_s8(int32_t *vector_sum_buf,
49 const int32_t vector_cols,
50 const int32_t vector_rows,
51 const int8_t *vector_data,
52 const int32_t lhs_offset,
53 const int32_t *bias_data)
54 {
55
56 if (bias_data)
57 {
58 memcpy(vector_sum_buf, bias_data, vector_rows * sizeof(int32_t));
59 }
60 else
61 {
62 memset(vector_sum_buf, 0, vector_rows * sizeof(int32_t));
63 }
64
65 if (lhs_offset)
66 {
67 #if defined(ARM_MATH_MVEI)
68
69 const int32_t row_loop_cnt = vector_rows / 5;
70 for (int i_row_loop_cnt = 0; i_row_loop_cnt < row_loop_cnt; i_row_loop_cnt++)
71 {
72 const int32_t col_loop_cnt = (vector_cols + 15) / 16;
73 const int8_t *vector_0 = vector_data;
74 const int8_t *vector_1 = vector_data + vector_cols;
75 const int8_t *vector_2 = vector_data + 2 * vector_cols;
76 const int8_t *vector_3 = vector_data + 3 * vector_cols;
77 const int8_t *vector_4 = vector_data + 4 * vector_cols;
78 int32_t vector_sum_0 = 0;
79 int32_t vector_sum_1 = 0;
80 int32_t vector_sum_2 = 0;
81 int32_t vector_sum_3 = 0;
82 int32_t vector_sum_4 = 0;
83 uint32_t col_cnt = (uint32_t)vector_cols;
84 for (int i = 0; i < col_loop_cnt; i++)
85 {
86 mve_pred16_t p = vctp8q(col_cnt);
87 col_cnt -= 16;
88 const int8x16_t ker_0 = vldrbq_z_s8(vector_0, p);
89 vector_sum_0 = vaddvaq_s8(vector_sum_0, ker_0);
90 const int8x16_t ker_1 = vldrbq_z_s8(vector_1, p);
91 vector_sum_1 = vaddvaq_s8(vector_sum_1, ker_1);
92 const int8x16_t ker_2 = vldrbq_z_s8(vector_2, p);
93 vector_sum_2 = vaddvaq_s8(vector_sum_2, ker_2);
94 const int8x16_t ker_3 = vldrbq_z_s8(vector_3, p);
95 vector_sum_3 = vaddvaq_s8(vector_sum_3, ker_3);
96 const int8x16_t ker_4 = vldrbq_z_s8(vector_4, p);
97 vector_sum_4 = vaddvaq_s8(vector_sum_4, ker_4);
98 vector_0 += 16;
99 vector_1 += 16;
100 vector_2 += 16;
101 vector_3 += 16;
102 vector_4 += 16;
103 }
104 vector_data += 5 * vector_cols;
105
106 vector_sum_0 *= lhs_offset;
107 vector_sum_1 *= lhs_offset;
108 vector_sum_2 *= lhs_offset;
109 vector_sum_3 *= lhs_offset;
110 vector_sum_4 *= lhs_offset;
111
112 vector_sum_buf[0] += vector_sum_0;
113 vector_sum_buf[1] += vector_sum_1;
114 vector_sum_buf[2] += vector_sum_2;
115 vector_sum_buf[3] += vector_sum_3;
116 vector_sum_buf[4] += vector_sum_4;
117 vector_sum_buf += 5;
118 }
119 const int32_t loop_cnt = vector_rows % 5;
120 for (int i_row_loop_cnt = 0; i_row_loop_cnt < loop_cnt; i_row_loop_cnt++)
121 {
122 const int32_t col_loop_cnt = (vector_cols + 15) / 16;
123 const int8_t *vector_0 = vector_data;
124 int32_t vector_sum_0 = 0;
125 uint32_t col_cnt = (uint32_t)vector_cols;
126 for (int i = 0; i < col_loop_cnt; i++)
127 {
128 mve_pred16_t p = vctp8q(col_cnt);
129 col_cnt -= 16;
130 const int8x16_t ker_0 = vldrbq_z_s8(vector_0, p);
131 vector_sum_0 = vaddvaq_s8(vector_sum_0, ker_0);
132 vector_0 += 16;
133 }
134 vector_data += vector_cols;
135 vector_sum_0 *= lhs_offset;
136
137 vector_sum_buf[i_row_loop_cnt] += vector_sum_0;
138 }
139 #else
140 for (int i = 0; i < vector_rows; i++)
141 {
142 int32_t sum = 0;
143 for (int j = 0; j < vector_cols; j++)
144 {
145 sum += *vector_data++;
146 }
147 *vector_sum_buf++ += sum * lhs_offset;
148 }
149 #endif
150 }
151
152 return (ARM_CMSIS_NN_SUCCESS);
153 }
154
155 /**
156 * @} end of FC group
157 */
158
