1 /*
2 * SPDX-FileCopyrightText: Copyright 2010-2023 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_s16
22 * Description: Fully connected function compatible with TF Lite.
23 *
24 * $Date: 13 January 2023
25 * $Revision: V.2.1.0
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 * S16 basic fully-connected and matrix multiplication layer function for TensorFlow Lite
45 *
46 * Refer header file for details.
47 *
48 */
arm_fully_connected_s16(const cmsis_nn_context * ctx,const cmsis_nn_fc_params * fc_params,const cmsis_nn_per_tensor_quant_params * quant_params,const cmsis_nn_dims * input_dims,const int16_t * input,const cmsis_nn_dims * filter_dims,const int8_t * kernel,const cmsis_nn_dims * bias_dims,const int64_t * bias,const cmsis_nn_dims * output_dims,int16_t * output)49 arm_cmsis_nn_status arm_fully_connected_s16(const cmsis_nn_context *ctx,
50 const cmsis_nn_fc_params *fc_params,
51 const cmsis_nn_per_tensor_quant_params *quant_params,
52 const cmsis_nn_dims *input_dims,
53 const int16_t *input,
54 const cmsis_nn_dims *filter_dims,
55 const int8_t *kernel,
56 const cmsis_nn_dims *bias_dims,
57 const int64_t *bias,
58 const cmsis_nn_dims *output_dims,
59 int16_t *output)
60 {
61 (void)bias_dims;
62 (void)ctx;
63 (void)fc_params->filter_offset;
64
65 int32_t batch_cnt = input_dims->n;
66
67 const int32_t reduced_multiplier = REDUCE_MULTIPLIER(quant_params->multiplier);
68
69 while (batch_cnt)
70 {
71 arm_nn_vec_mat_mult_t_s16(input,
72 kernel,
73 bias,
74 output,
75 reduced_multiplier,
76 quant_params->shift,
77 filter_dims->n, /* col_dim or accum_depth */
78 output_dims->c, /* row_dim or output_depth */
79 fc_params->activation.min,
80 fc_params->activation.max);
81 input += filter_dims->n;
82 output += output_dims->c;
83 batch_cnt--;
84 }
85
86 return (ARM_CMSIS_NN_SUCCESS);
87 }
88
89 /**
90 * @} end of FC group
91 */
92
