CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers
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"
37 
38 namespace cutlass {
39 namespace gemm {
40 namespace warp {
41 
43 
44 template <
46  typename WarpShape_,
48  typename InstructionShape_,
50  typename ElementA_,
52  typename LayoutA_,
54  typename ElementB_,
56  typename LayoutB_,
58  typename ElementC_,
60  typename LayoutC_,
62  typename Operator_ = arch::OpMultiplyAdd,
64  int PartitionsK = 1,
66  int PartitionsN = 1
67 >
68 struct DefaultMmaTensorOpWmma;
69 
71 
73 template <
75  typename WarpShape_,
77  typename InstructionShape_,
79  typename ElementA,
81  typename LayoutA,
83  typename ElementB,
85  typename LayoutB,
87  typename ElementC,
89  typename LayoutC,
91  typename Operator_,
93  int PartitionsK,
95  int PartitionsN>
96 struct DefaultMmaTensorOpWmma {
98  cutlass::arch::Wmma<
99  InstructionShape_,
100  ElementA,
101  LayoutA,
102  ElementB,
103  LayoutB,
104  ElementC,
105  LayoutC,
106  Operator_>,
108 
109  // Define the warp-level tensor op
110  using 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
Policy.
Definition: mma_tensor_op_policy.h:48
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.