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arch/mma_sm61.h
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1 /***************************************************************************************************
2 * Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
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5 * provided that the following conditions are met:
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7 * conditions and the following disclaimer.
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13 * permission.
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15 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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24 **************************************************************************************************/
29 #pragma once
30
31 #include "cutlass/layout/matrix.h"
32
34
35 namespace cutlass {
36 namespace arch {
37
39
41 template <typename LayoutA, typename LayoutB, typename LayoutC>
42 struct Mma<
43 gemm::GemmShape<1,1,4>,
44 1,
45 int8_t,
46 LayoutA,
47 int8_t,
48 LayoutB,
49 int,
50 LayoutC,
51 OpMultiplyAdd> {
52
53 using Shape = gemm::GemmShape<1, 1, 4>;
54
55 CUTLASS_HOST_DEVICE
56 void operator()(
57 Array<int, 1> &d,
58 Array<int8_t, 4> const &a,
59 Array<int8_t, 4> const &b,
60 Array<int, 1> const &c
61 ) {
62
63 #if (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 610))
64
65 unsigned const &A = reinterpret_cast<unsigned const &>(a);
66 unsigned const &B = reinterpret_cast<unsigned const &>(b);
67
68 asm volatile("dp4a.s32.s32 %0, %1, %2, %3;"
69 : "=r"(d[0])
70 : "r"(A), "r"(B), "r"(c[0]));
71
72 #else
73
74 d[0] = c[0];
75
76 CUTLASS_PRAGMA_UNROLL
77 for (int k = 0; k < 4; ++k) {
78 d[0] += a[k] * b[k];
79 }
80
81 #endif
82 }
83 };
84
86
88 template <typename LayoutC>
89 struct Mma<
90 gemm::GemmShape<1, 1, 2>,
91 1,
92 int16_t,
93 layout::RowMajor,
94 int16_t,
95 layout::ColumnMajor,
96 int,
97 LayoutC,
98 OpMultiplyAdd> {
99
100 using Shape = gemm::GemmShape<1, 1, 2>;
101
102 CUTLASS_HOST_DEVICE
103 void operator()(
104 Array<int, 1> &d,
105 Array<int16_t, 2> const &a,
106 Array<int16_t, 2> const &b,
107 Array<int, 1> const &c
108 ) {
109
110 #if (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 610))
111
112 unsigned const &A = reinterpret_cast<unsigned const &>(a);
113 unsigned const &B = reinterpret_cast<unsigned const &>(b);
114
115 asm volatile("dp2a.s32.s32 %0, %1, %2, %3;"
116 : "=r"(d[0])
117 : "r"(A), "r"(B), "r"(c[0]));
118 #else
119 d[0] = c[0];
120
121 CUTLASS_PRAGMA_UNROLL
122 for (int k = 0; k < 2; ++k) {
123 d[0] += a[k] * b[k];
124 }
125 #endif
126 }
127 };
128
130
131 }
132 }
133
cutlass
Definition: aligned_buffer.h:35
cutlass::arch::Mma< gemm::GemmShape< 1, 1, 4 >, 1, int8_t, LayoutA, int8_t, LayoutB, int, LayoutC, OpMultiplyAdd >::operator()
CUTLASS_HOST_DEVICE void operator()(Array< int, 1 > &d, Array< int8_t, 4 > const &a, Array< int8_t, 4 > const &b, Array< int, 1 > const &c)
Definition: arch/mma_sm61.h:56
cutlass::layout::ColumnMajor
Mapping function for column-major matrices.
Definition: layout/matrix.h:142
CUTLASS_PRAGMA_UNROLL
#define CUTLASS_PRAGMA_UNROLL
Definition: cutlass.h:110
CUTLASS_HOST_DEVICE
#define CUTLASS_HOST_DEVICE
Definition: cutlass.h:89
cutlass::gemm::GemmShape
Shape of a matrix multiply-add operation.
Definition: include/cutlass/gemm/gemm.h:57
cutlass::layout::RowMajor
Mapping function for row-major matrices.
Definition: layout/matrix.h:50
matrix.h
Defines layout functions used by TensorRef and derived classes.
cutlass::arch::Mma
Matrix multiply-add operation.
Definition: arch/mma.h:92
cutlass::arch::Mma< gemm::GemmShape< 1, 1, 2 >, 1, int16_t, layout::RowMajor, int16_t, layout::ColumnMajor, int, LayoutC, OpMultiplyAdd >::operator()
CUTLASS_HOST_DEVICE void operator()(Array< int, 1 > &d, Array< int16_t, 2 > const &a, Array< int16_t, 2 > const &b, Array< int, 1 > const &c)
Definition: arch/mma_sm61.h:103