Cutlass CUDA Templates for Linear Algebra Subroutines and Solvers

fp16_sgemm_traits.h
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29 #pragma once
30
31 #include "cutlass/gemm/gemm.h"
32 #include "cutlass/gemm/gemm_epilogue.h"
33 #include "cutlass/gemm/gemm_epilogue_traits.h"
34 #include "cutlass/gemm/gemm_global_tile.h"
35 #include "cutlass/gemm/gemm_shared_tile.h"
36 #include "cutlass/gemm/gemm_traits.h"
37 #include "cutlass/gemm/fp16_sgemm_multiply_add.h"
38
39 namespace cutlass {
40 namespace gemm {
41
43
44 template <
46 typename OutputTile_,
48 typename ThreadGemmShape_,
50 typename ScalarA_,
52 typename ScalarB_,
54 typename ScalarC_,
56 typename ScalarD_,
58 int kScalarsPerLdgA_ = 1,
60 int kScalarsPerLdgB_ = 1>
61 struct Fp16SgemmConfig : public GemmConfig<
63 ScalarA_,
65 ScalarB_,
67 ScalarC_,
69 ScalarD_,
71 OutputTile_,
73 ThreadMultiplyAdd<ThreadGemmShape_, Shape<1, 4, 8>, ScalarA_, ScalarB_, float /*for sgemm accum is float*/>,
75 kScalarsPerLdgA_,
77 kScalarsPerLdgA_,
79 4,
81 kScalarsPerLdgB_,
83 kScalarsPerLdgB_,
85 4,
87 1,
89 4,
91 1,
93 2> {};
94
96
97 template <
99 MatrixLayout::Kind kLayoutA_,
101 MatrixLayout::Kind kLayoutB_,
103 typename OutputTile_ = Shape<8, 128, 128>,
105 typename ScalarA_ = half,
107 typename ScalarB_ = half,
109 typename ScalarC_ = half,
111 typename ScalarD_ = half,
113 typename Scalar_ = half,
115 typename EpilogueFunctor_ = LinearScaling<Scalar_, FragmentMultiplyAdd<Scalar_, float/*accumulator type*/> >,
117 typename ThreadGemmShape_ = Shape<8, 8, 8>,
119 int kScalarsPerLdgA_ = 1,
121 int kScalarsPerLdgB_ = 1,
123 typename Index_ = int,
125 typename GemmConfig_ =
126 Fp16SgemmConfig<OutputTile_,
127 ThreadGemmShape_,
128 ScalarA_,
129 ScalarB_,
130 ScalarC_,
131 ScalarD_,
132 kScalarsPerLdgA_,
133 kScalarsPerLdgB_>,
135 typename GemmEpilogueTraits_ =
136 SimplifiedGemmEpilogueTraits<GemmConfig_, EpilogueFunctor_, Index_> >
137 struct Fp16SgemmSgemmTraits : public SimplifiedGemmTraits<
138 // The layout for A.
139 kLayoutA_,
140 // The layout for B.
141 kLayoutB_,
142 // The config.
143 GemmConfig_,
144 // The epilogue.
145 GemmEpilogue<GemmEpilogueTraits_>,
146 // The index.
147 Index_> {};
148
150
151 } // namespace gemm
152 } // namespace cutlass
cutlass
Definition: convert.h:33
gemm_global_tile.h
Defines iterators for efficiently loading and storing to global memory.
gemm_traits.h
Defines structural properties of complete GEMM computation.
cutlass::MatrixLayout::Kind
Kind
Enumeration defining fundamental contiguous layouts.
Definition: matrix_traits.h:159
gemm_epilogue.h
Implements the epilogue phase of the GEMM kernel that efficiently updates global memory with the comp...
gemm_shared_tile.h
Defines iterators for efficiently loading and storing tiles to and from shared memory.
cutlass::gemm::GemmConfig
Definition: gemm_config.h:76
cutlass::Shape
A Shape implementing Layout Concept describing the dimensions of a cube.
Definition: shape.h:64
cutlass::gemm::SimplifiedGemmEpilogueTraits
Definition: gemm_epilogue_traits.h:340
cutlass::gemm::Fp16SgemmConfig
Definition: fp16_sgemm_traits.h:61
fp16_sgemm_multiply_add.h
Template implementing matrix multiply-add operations on fragments.
cutlass::gemm::LinearScaling
Functor to compute linear combination of fragments.
Definition: linear_scaling.h:51
gemm.h
Implements a software-pipelined efficient GEMM.
gemm_epilogue_traits.h
Defines structural properties of the GEMM epilogue.
cutlass::gemm::Fp16SgemmSgemmTraits
Definition: fp16_sgemm_traits.h:137
cutlass::gemm::SimplifiedGemmTraits
Definition: gemm_traits.h:773
cutlass::gemm::FragmentMultiplyAdd
Definition: fragment_multiply_add.h:41