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default_mma_wmma_tensor_op.h
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29 #pragma once
30
31 #include "cutlass/arch/wmma.h"
32
33 #if defined(CUTLASS_ARCH_WMMA_ENABLED)
34
35 #include "cutlass/cutlass.h"
36 #include "[cutlass/gemm/warp/mma_tensor_op_wmma.h](mma tensor op__wmma_8h.html)"
37
38 namespace cutlass {
39 namespace gemm {
40 namespace warp {
41
43
44 template <
46typename WarpShape_,
48typename InstructionShape_,
50typename ElementA_,
52typename LayoutA_,
54typename ElementB_,
56typename LayoutB_,
58typename ElementC_,
60typename LayoutC_,
62typename Operator_ = arch::OpMultiplyAdd,
64int PartitionsK = 1,
66int PartitionsN = 1
67 >
68 struct DefaultMmaTensorOpWmma;
69
71
73 template <
75typename WarpShape_,
77typename InstructionShape_,
79typename ElementA,
81typename LayoutA,
83typename ElementB,
85typename LayoutB,
87typename ElementC,
89typename LayoutC,
91typename Operator_,
93int PartitionsK,
95int PartitionsN>
96 struct DefaultMmaTensorOpWmma {
97using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
98 cutlass::arch::Wmma<
99 InstructionShape_,
100 ElementA,
101 LayoutA,
102 ElementB,
103 LayoutB,
104 ElementC,
105 LayoutC,
106 Operator_>,
107cutlass::MatrixShape<1, 1> >;
108
109// Define the warp-level tensor op
110using Type = cutlass::gemm::warp::MmaTensorOpWmma<
111 WarpShape_,
112 ElementA,
113 LayoutA,
114 ElementB,
115 LayoutB,
116 ElementC,
117 LayoutC,
118 Policy,
119 PartitionsK,
120 PartitionsN>;
121 };
122
124
125 } // namespace warp
126 } // namespace gemm
127 } // namespace cutlass
128
129 #endif
130
Describes the size of a matrix tile.
Definition: matrix_shape.h:42
Definition: aligned_buffer.h:35
cutlass::gemm::warp::MmaTensorOpPolicy
Policy.
Definition: mma_tensor_op_policy.h:48
[mma_tensor_op_wmma.h](mma tensor op__wmma_8h.html)
Templates implementing warp-level matrix multiply-accumulate operations targeting Tensor Cores...
Templates exposing architecture support for warp matrix multiply-add (WMMA) operations.
Basic include for CUTLASS.
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