1 /*
2 * Copyright (C) 2010-2020 Arm Limited or its affiliates. All rights reserved.
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_depthwise_conv_wrapper_s8.c
22 * Description: Wrapper API to select appropriate depthwise conv API based
23 * on dimensions.
24 *
25 * $Date: 11. May 2021
26 * $Revision: V.1.0.3
27 *
28 * Target Processor: Cortex-M CPUs
29 *
30 * -------------------------------------------------------------------- */
31
32 #include "arm_nnfunctions.h"
33
34 /**
35 * @ingroup groupNN
36 */
37
38 /**
39 * @addtogroup NNConv
40 * @{
41 */
42
43 /*
44 * s8 Depthwise conv wrapper function
45 *
46 * Refer header file for details.
47 *
48 */
arm_depthwise_conv_wrapper_s8(const cmsis_nn_context * ctx,const cmsis_nn_dw_conv_params * dw_conv_params,const cmsis_nn_per_channel_quant_params * quant_params,const cmsis_nn_dims * input_dims,const q7_t * input,const cmsis_nn_dims * filter_dims,const q7_t * filter,const cmsis_nn_dims * bias_dims,const int32_t * bias,const cmsis_nn_dims * output_dims,q7_t * output)49 arm_status arm_depthwise_conv_wrapper_s8(const cmsis_nn_context *ctx,
50 const cmsis_nn_dw_conv_params *dw_conv_params,
51 const cmsis_nn_per_channel_quant_params *quant_params,
52 const cmsis_nn_dims *input_dims,
53 const q7_t *input,
54 const cmsis_nn_dims *filter_dims,
55 const q7_t *filter,
56 const cmsis_nn_dims *bias_dims,
57 const int32_t *bias,
58 const cmsis_nn_dims *output_dims,
59 q7_t *output)
60 {
61 arm_status status = ARM_MATH_SUCCESS;
62 if (1 == dw_conv_params->ch_mult && input_dims->n == 1)
63 {
64 #if !defined(ARM_MATH_MVEI)
65 if ((filter_dims->w == 3) && (filter_dims->h == 3) && (dw_conv_params->padding.h <= 1))
66 {
67 status = arm_depthwise_conv_3x3_s8(ctx,
68 dw_conv_params,
69 quant_params,
70 input_dims,
71 input,
72 filter_dims,
73 filter,
74 bias_dims,
75 bias,
76 output_dims,
77 output);
78 }
79 else
80 #endif
81 {
82 status = arm_depthwise_conv_s8_opt(ctx,
83 dw_conv_params,
84 quant_params,
85 input_dims,
86 input,
87 filter_dims,
88 filter,
89 bias_dims,
90 bias,
91 output_dims,
92 output);
93 }
94 }
95 else
96 {
97 status = arm_depthwise_conv_s8(ctx,
98 dw_conv_params,
99 quant_params,
100 input_dims,
101 input,
102 filter_dims,
103 filter,
104 bias_dims,
105 bias,
106 output_dims,
107 output);
108 }
109
110 /* Return to application */
111 return status;
112 }
113
arm_depthwise_conv_wrapper_s8_get_buffer_size(const cmsis_nn_dw_conv_params * dw_conv_params,const cmsis_nn_dims * input_dims,const cmsis_nn_dims * filter_dims,const cmsis_nn_dims * output_dims)114 int32_t arm_depthwise_conv_wrapper_s8_get_buffer_size(const cmsis_nn_dw_conv_params *dw_conv_params,
115 const cmsis_nn_dims *input_dims,
116 const cmsis_nn_dims *filter_dims,
117 const cmsis_nn_dims *output_dims)
118 {
119 (void)dw_conv_params;
120 int32_t size = 0;
121
122 if (input_dims->c == output_dims->c && input_dims->n == 1)
123 {
124 size = arm_depthwise_conv_s8_opt_get_buffer_size(input_dims, filter_dims);
125 }
126
127 return size;
128 }
129
130 /**
131 * @} end of NNConv group
132 */
133
