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
|
/***************************************************************************************************
* Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright notice, this list of
* conditions and the following disclaimer in the documentation and/or other materials
* provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
**************************************************************************************************/
/*! \file
\brief Implements the BLAS linear scaling function alpha*AB + beta*C
*/
#pragma once
#include <cutlass/fragment_multiply_add.h>
namespace cutlass {
namespace gemm {
////////////////////////////////////////////////////////////////////////////////////////////////////
/// Functor to compute linear combination of fragments
template <typename Scalar_, typename FragmentMultiplyAdd_ = FragmentMultiplyAdd<Scalar_> >
struct LinearScaling {
// The scalar.
typedef Scalar_ Scalar;
// The adapater.
typedef FragmentMultiplyAdd_ FragmentMultiplyAdd;
/// The parameters.
struct Params {
/// The alpha/beta scaling params.
Scalar alpha, beta;
/// Initialize the parameters.
template <typename GemmDesc_>
CUTLASS_HOST_DEVICE int initialize(GemmDesc_ const& desc) {
alpha = desc.alpha;
beta = desc.beta;
return 0;
}
};
/// Ctor.
CUTLASS_DEVICE LinearScaling(Params const& params) : alpha(params.alpha), beta(params.beta) {}
/// Evaluate the functor.
template <typename FragmentA_, typename FragmentB_>
CUTLASS_DEVICE void evaluate(FragmentA_ const& accum, FragmentB_& output) {
FragmentMultiplyAdd mad;
mad.multiply(alpha, accum, output);
}
/// Evaluate the functor.
template <typename FragmentA_, typename FragmentB_>
CUTLASS_DEVICE void evaluate(FragmentA_ const& accum, FragmentB_ const& old, FragmentB_& output) {
FragmentMultiplyAdd mad;
FragmentB_ tmp;
mad.multiply(beta, old, tmp);
mad.multiply_add(alpha, accum, tmp, output);
}
/// The alpha/beta scaling factors.
Scalar alpha, beta;
};
////////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace gemm
} // namespace cutlass
|
