1 /*
2 * SPDX-FileCopyrightText: Copyright 2021-2023 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_convolve_wrapper_s16.c
22 * Description: s16 convolution layer wrapper function with the main purpose to call the optimal kernel available in
23 * cmsis-nn to perform the convolution.
24 *
25 * $Date: 30 January 2023
26 * $Revision: V.2.1.0
27 *
28 * Target : Arm(R) M-Profile Architecture
29 *
30 * -------------------------------------------------------------------- */
31
32 #include "arm_nnfunctions.h"
33
34 /**
35 * @ingroup Public
36 */
37
38 /**
39 * @addtogroup NNConv
40 * @{
41 */
42
43 /*
44 * Convolution layer
45 *
46 * Refer header file for details.
47 *
48 */
49
arm_convolve_wrapper_s16(const cmsis_nn_context * ctx,const cmsis_nn_conv_params * conv_params,const cmsis_nn_per_channel_quant_params * quant_params,const cmsis_nn_dims * input_dims,const int16_t * input_data,const cmsis_nn_dims * filter_dims,const int8_t * filter_data,const cmsis_nn_dims * bias_dims,const int64_t * bias_data,const cmsis_nn_dims * output_dims,int16_t * output_data)50 arm_cmsis_nn_status arm_convolve_wrapper_s16(const cmsis_nn_context *ctx,
51 const cmsis_nn_conv_params *conv_params,
52 const cmsis_nn_per_channel_quant_params *quant_params,
53 const cmsis_nn_dims *input_dims,
54 const int16_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 int64_t *bias_data,
59 const cmsis_nn_dims *output_dims,
60 int16_t *output_data)
61 {
62 #if defined(ARM_MATH_DSP) && !defined(ARM_MATH_MVEI)
63 if (filter_dims->w * filter_dims->h * input_dims->c < 512 &&
64 (conv_params->dilation.w == 1 && conv_params->dilation.h == 1))
65 {
66 return arm_convolve_fast_s16(ctx,
67 conv_params,
68 quant_params,
69 input_dims,
70 input_data,
71 filter_dims,
72 filter_data,
73 bias_dims,
74 bias_data,
75 output_dims,
76 output_data);
77 }
78 else
79 {
80 return arm_convolve_s16(ctx,
81 conv_params,
82 quant_params,
83 input_dims,
84 input_data,
85 filter_dims,
86 filter_data,
87 bias_dims,
88 bias_data,
89 output_dims,
90 output_data);
91 }
92 #else
93 return arm_convolve_s16(ctx,
94 conv_params,
95 quant_params,
96 input_dims,
97 input_data,
98 filter_dims,
99 filter_data,
100 bias_dims,
101 bias_data,
102 output_dims,
103 output_data);
104 #endif
105 }
106
107 /**
108 * @} end of NNConv group
109 */
110
