1 /*
2 * SPDX-FileCopyrightText: Copyright 2010-2024 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_fully_connected_s8
22 * Description: Fully connected function compatible with TF Lite.
23 *
24 * $Date: 19 Aug 2024
25 * $Revision: V.1.0.0
26 *
27 * Target : Arm(R) M-Profile Architecture
28 *
29 * -------------------------------------------------------------------- */
30
31 #include "arm_nnfunctions.h"
32 #include "arm_nnsupportfunctions.h"
33
34 /**
35 * @ingroup Public
36 */
37
38 /**
39 * @addtogroup FC
40 * @{
41 */
42
43 /*
44 * S8 basic fully-connected and matrix multiplication layer function for TensorFlow Lite
45 *
46 * Refer header file for details.
47 *
48 */
49
arm_fully_connected_wrapper_s8(const cmsis_nn_context * ctx,const cmsis_nn_fc_params * fc_params,const cmsis_nn_quant_params * quant_params,const cmsis_nn_dims * input_dims,const int8_t * input_data,const cmsis_nn_dims * filter_dims,const int8_t * filter_data,const cmsis_nn_dims * bias_dims,const int32_t * bias_data,const cmsis_nn_dims * output_dims,int8_t * output_data)50 arm_cmsis_nn_status arm_fully_connected_wrapper_s8(const cmsis_nn_context *ctx,
51 const cmsis_nn_fc_params *fc_params,
52 const cmsis_nn_quant_params *quant_params,
53 const cmsis_nn_dims *input_dims,
54 const int8_t *input_data,
55 const cmsis_nn_dims *filter_dims,
56 const int8_t *filter_data,
57 const cmsis_nn_dims *bias_dims,
58 const int32_t *bias_data,
59 const cmsis_nn_dims *output_dims,
60 int8_t *output_data)
61 {
62
63 if (quant_params->is_per_channel)
64 {
65 const cmsis_nn_per_channel_quant_params per_channel_quant_params = {quant_params->multiplier,
66 quant_params->shift};
67
68 return arm_fully_connected_per_channel_s8(ctx,
69 fc_params,
70 &per_channel_quant_params,
71 input_dims,
72 input_data,
73 filter_dims,
74 filter_data,
75 bias_dims,
76 bias_data,
77 output_dims,
78 output_data);
79 }
80 else
81 {
82 const cmsis_nn_per_tensor_quant_params per_tensor_quant_params = {*quant_params->multiplier,
83 *quant_params->shift};
84 return arm_fully_connected_s8(ctx,
85 fc_params,
86 &per_tensor_quant_params,
87 input_dims,
88 input_data,
89 filter_dims,
90 filter_data,
91 bias_dims,
92 bias_data,
93 output_dims,
94 output_data);
95 }
96 }
97
98 /**
99 * @} end of FC group
100 */
101
