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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](mma tensor op_8h.html)"
33
34 namespace cutlass {
35 namespace gemm {
36 namespace warp {
37
39
40 template <
42typename WarpShape_,
44typename InstructionShape_,
46typename ElementA_,
48typename LayoutA_,
50typename ElementB_,
52typename LayoutB_,
54typename ElementC_,
56typename LayoutC_,
58typename Operator_ = arch::OpMultiplyAdd,
60int PartitionsK = 1,
63bool AccumulatorsInRowMajor = false,
65int PartitionsN = 1
66 >
67 struct DefaultMmaTensorOp;
68
70
72 template <
74typename WarpShape_,
76typename InstructionShape_,
78typename ElementA,
80typename LayoutA,
82typename ElementB,
84typename LayoutB,
86typename ElementC,
88typename LayoutC,
90typename Operator_,
92int PartitionsK,
95bool AccumulatorsInRowMajor,
97int PartitionsN>
98 struct DefaultMmaTensorOp {
99using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
100cutlass::arch::Mma<InstructionShape_, 32, ElementA,
101cutlass::layout::RowMajor, ElementB,
102cutlass::layout::ColumnMajor, ElementC,
103 cutlass::layout::RowMajor, Operator_>,
104cutlass::MatrixShape<1, 1> >;
105
106// Define the warp-level tensor op
107using Type = cutlass::gemm::warp::MmaTensorOp<
108 WarpShape_, ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC,
109Policy, PartitionsK, AccumulatorsInRowMajor, PartitionsN>;
110 };
111
113
114 } // namespace warp
115 } // namespace gemm
116 } // namespace cutlass
Describes the size of a matrix tile.
Definition: matrix_shape.h:42
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
Mapping function for column-major matrices.
Definition: layout/matrix.h:142
cutlass::gemm::warp::MmaTensorOpPolicy
Policy.
Definition: mma_tensor_op_policy.h:48
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
Matrix multiply-add operation.
Definition: arch/mma.h:92
[mma_tensor_op.h](mma tensor op_8h.html)
Templates implementing warp-level matrix multiply-accumulate operations targeting Tensor Cores...
Basic include for CUTLASS.
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