CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers
wmma_ptx.h
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28 #pragma once
29 
30 #include "cutlass/arch/wmma.h"
31 
32 namespace cutlass {
33 namespace arch {
34 
40 
44 template <
45  typename Shape_,
46  typename Element_,
47  typename Layout_,
48  MemoryKind Memory = MemoryKind::kShared
49 >
50 struct PtxWmmaLoadA;
52 
53 template <
54  typename Shape_,
55  typename Element_,
56  typename Layout_,
57  MemoryKind Memory = MemoryKind::kShared
58 >
59 struct PtxWmmaLoadB;
61 
62 template <
63  typename Shape_,
64  typename Element_,
65  typename Layout_,
66  MemoryKind Memory = MemoryKind::kShared
67 >
68 struct PtxWmmaLoadC;
70 
71 
75 template <
76  typename Shape_,
77  typename ElementA_,
78  typename LayoutA_,
79  typename ElementB_,
80  typename LayoutB_,
81  typename ElementC_,
82  typename LayoutC_,
83  typename Operator = cutlass::arch::OpMultiplyAdd
84 >
85 struct PtxWmma;
87 
91 template <
92  typename Shape_,
93  typename Element_,
94  typename Layout_,
95  MemoryKind Memory = MemoryKind::kShared
96 >
99 
101 
102 } // namespace arch
103 } // namespace cutlass
104 
Definition: aligned_buffer.h:35
Definition: wmma_ptx.h:59
Definition: wmma_ptx.h:68
WMMA Matrix multiply-add operation.
Definition: wmma_ptx.h:85
WMMA store for matrix D.
Definition: wmma_ptx.h:97
WMMA PTX string load for A, B, and C matrices.
Definition: wmma_ptx.h:50
Templates exposing architecture support for warp matrix multiply-add (WMMA) operations.