MulOp.h 2.9 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21

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. */

#pragma once

#include "Function.h"
#include "paddle/math/Matrix.h"
#include "paddle/math/SparseMatrix.h"

namespace paddle {
22
/// CPU, dense matrix (+)= dense matrix * dense matrix
23 24 25 26 27
template <DeviceType DType>
void MulOp(CpuMatrix& out,
           const CpuMatrix& a,
           const CpuMatrix& b,
           real scaleAB,
X
xutianbing 已提交
28 29
           real scaleT,
           bool aTrans,
X
xutianbing 已提交
30
           bool bTrans);
31

32
/// CPU, dense matrix (+)= sparse matrix * dense matrix
33 34 35 36 37
template <DeviceType DType>
void MulOp(CpuMatrix& out,
           const CpuSparseMatrix& a,
           const CpuMatrix& b,
           real scaleAB,
X
xutianbing 已提交
38 39
           real scaleT,
           bool aTrans,
X
xutianbing 已提交
40
           bool bTrans);
41

42
/// CPU, dense matrix (+)= dense matrix * sparse matrix
43 44 45 46 47
template <DeviceType DType>
void MulOp(CpuMatrix& out,
           const CpuMatrix& a,
           const CpuSparseMatrix& b,
           real scaleAB,
X
xutianbing 已提交
48 49
           real scaleT,
           bool aTrans,
X
xutianbing 已提交
50
           bool bTrans);
51

52
/// CPU, sparse matrix (+)= dense matrix * dense matrix
53 54 55 56 57
template <DeviceType DType>
void MulOp(CpuSparseMatrix& out,
           const CpuMatrix& a,
           const CpuMatrix& b,
           real scaleAB,
X
xutianbing 已提交
58 59
           real scaleT,
           bool aTrans,
X
xutianbing 已提交
60
           bool bTrans);
61

62
/// GPU, dense matrix (+)= dense matrix * dense matrix
63 64 65 66 67
template <DeviceType DType>
void MulOp(GpuMatrix& out,
           const GpuMatrix& a,
           const GpuMatrix& b,
           real scaleAB,
X
xutianbing 已提交
68 69
           real scaleT,
           bool aTrans,
X
xutianbing 已提交
70
           bool bTrans);
71

72
/// GPU, dense matrix (+)= sparse matrix * dense matrix
73 74 75 76 77
template <DeviceType DType>
void MulOp(GpuMatrix& out,
           const GpuSparseMatrix& a,
           const GpuMatrix& b,
           real scaleAB,
X
xutianbing 已提交
78 79
           real scaleT,
           bool aTrans,
X
xutianbing 已提交
80
           bool bTrans);
81

82
/// GPU, dense matrix (+)= dense matrix * sparse matrix
83 84 85 86 87
template <DeviceType DType>
void MulOp(GpuMatrix& out,
           const GpuMatrix& a,
           const GpuSparseMatrix& b,
           real scaleAB,
X
xutianbing 已提交
88 89
           real scaleT,
           bool aTrans,
X
xutianbing 已提交
90 91
           bool bTrans);

92
/// GPU, sparse matrix (+)= dense matrix * dense matrix
93 94 95 96 97
template <DeviceType DType>
void MulOp(GpuSparseMatrix& out,
           const GpuMatrix& a,
           const GpuMatrix& b,
           real scaleAB,
X
xutianbing 已提交
98 99
           real scaleT,
           bool aTrans,
X
xutianbing 已提交
100
           bool bTrans);
101

102
}  // namespace paddle