CUTLASS: default_mma_tensor_op.h Source File

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default_mma_tensor_op.h
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29 #pragma once
30
31 #include "cutlass/cutlass.h"
32 #include "cutlass/gemm/warp/mma_tensor_op.h"
33
34 namespace cutlass {
35 namespace gemm {
36 namespace warp {
37
39
40 template <
42 typename WarpShape_,
44 typename InstructionShape_,
46 typename ElementA_,
48 typename LayoutA_,
50 typename ElementB_,
52 typename LayoutB_,
54 typename ElementC_,
56 typename LayoutC_,
58 typename Operator_ = arch::OpMultiplyAdd,
60 int PartitionsK = 1,
63 bool AccumulatorsInRowMajor = false,
65 int PartitionsN = 1
66 >
67 struct DefaultMmaTensorOp;
68
70
72 template <
74 typename WarpShape_,
76 typename InstructionShape_,
78 typename ElementA,
80 typename LayoutA,
82 typename ElementB,
84 typename LayoutB,
86 typename ElementC,
88 typename LayoutC,
90 typename Operator_,
92 int PartitionsK,
95 bool AccumulatorsInRowMajor,
97 int PartitionsN>
98 struct DefaultMmaTensorOp {
99 using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
100 cutlass::arch::Mma<InstructionShape_, 32, ElementA,
101 cutlass::layout::RowMajor, ElementB,
102 cutlass::layout::ColumnMajor, ElementC,
103 cutlass::layout::RowMajor, Operator_>,
104 cutlass::MatrixShape<1, 1> >;
105
106 // Define the warp-level tensor op
107 using Type = cutlass::gemm::warp::MmaTensorOp<
108 WarpShape_, ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC,
109 Policy, PartitionsK, AccumulatorsInRowMajor, PartitionsN>;
110 };
111
113
114 } // namespace warp
115 } // namespace gemm
116 } // namespace cutlass
cutlass::MatrixShape
Describes the size of a matrix tile.
Definition: matrix_shape.h:42
cutlass
Definition: aligned_buffer.h:35
cutlass::gemm::warp::DefaultMmaTensorOp
Partial specialization for m-by-n-by-kgroup.
Definition: default_mma_tensor_op.h:67
cutlass::gemm::warp::MmaTensorOp
Structure to compute the matrix product targeting CUDA cores and SIMT math instructions.
Definition: mma_tensor_op.h:82
cutlass::layout::ColumnMajor
Mapping function for column-major matrices.
Definition: layout/matrix.h:142
cutlass::gemm::warp::MmaTensorOpPolicy
Policy.
Definition: mma_tensor_op_policy.h:48
cutlass::layout::RowMajor
Mapping function for row-major matrices.
Definition: layout/matrix.h:50
cutlass::gemm::warp::DefaultMmaTensorOp::Policy
cutlass::gemm::warp::MmaTensorOpPolicy< cutlass::arch::Mma< InstructionShape_, 32, ElementA, cutlass::layout::RowMajor, ElementB, cutlass::layout::ColumnMajor, ElementC, cutlass::layout::RowMajor, Operator_ >, cutlass::MatrixShape< 1, 1 > > Policy
Definition: default_mma_tensor_op.h:104
cutlass::arch::Mma
Matrix multiply-add operation.
Definition: arch/mma.h:92
mma_tensor_op.h
Templates implementing warp-level matrix multiply-accumulate operations targeting Tensor Cores...
cutlass.h
Basic include for CUTLASS.