blob: 8cb5269161811b2c93d5af2b0bfb80f75861d866 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
|
/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef __NNFW_SRCN_CONV_SGEMM_MULTITHREADS_H__
#define __NNFW_SRCN_CONV_SGEMM_MULTITHREADS_H__
#include "srcn/conv_type.h"
#include "common.h"
namespace nnfw
{
namespace srcn
{
class conv_sgemm_multithreads
{
public:
conv_sgemm_multithreads(const convMat_t &in_mat, const convMat_t &weights_mat, convMat_t &out_mat,
const convParams_t &in_param, int num_threads, convType_t conv_type);
~conv_sgemm_multithreads();
void run();
private:
void param_init();
void compute_rowmajor_colshard();
void compute_rowmajor_rowshard();
void compute_colmajor_colshard();
void compute_colmajor_rowshard();
const convMat_t in_mat_;
const convMat_t weights_mat_;
convMat_t out_mat_;
const convParams_t in_param_;
convType_t conv_type_;
int num_threads_;
int m_;
int n_;
#ifdef WITH_DPU
int np_;
#endif
int k_;
int bm_;
int bn_;
int bk_;
int rm_;
int rn_;
int rk_;
int nm_;
int nn_;
int nk_;
int mr_;
int nr_;
int need_im2col_;
shardType_t shard_type_;
float *prhs_buffer_;
float *plhs_buffer_;
int error_;
};
} // namespace srcn
} // namespace nnfw
#endif // __NNFW_SRCN_CONV_SGEMM_MULTITHREADS_H__
|
