CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers
default_mma_core.h
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32 #pragma once
33 
34 #include "cutlass/cutlass.h"
35 #include "cutlass/array.h"
36 
37 #include "cutlass/numeric_types.h"
38 #include "cutlass/matrix_shape.h"
39 
40 #include "cutlass/gemm/warp/mma.h"
44 
45 namespace cutlass {
46 namespace gemm {
47 namespace threadblock {
48 
50 
53 template <
55  typename Shape,
57  typename WarpShape,
59  typename InstructionShape,
61  typename ElementA,
63  typename LayoutA,
65  typename ElementB,
67  typename LayoutB,
69  typename ElementC,
71  typename LayoutC,
73  typename OperatorClass,
75  int Stages = 2,
77  typename Operator = typename platform::conditional<
78  (platform::is_same<OperatorClass,
79  cutlass::arch::OpClassTensorOp>::value) &&
84  cutlass::arch::OpMultiplyAddSaturate,
85  cutlass::arch::OpMultiplyAdd>::type,
88  bool AccumulatorsInRowMajor = false
89 >
91 
93 
94 } // namespace threadblock
95 } // namespace gemm
96 } // namespace cutlass
static const value_t value
Definition: platform.h:261
Definition: aligned_buffer.h:35
Template for a double-buffered threadblock-scoped GEMM kernel.
Definition: default_mma_core.h:90
Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...
Templates exposing architecture support for warp-level multiply-add operations.
Defines a Shape template for matrix tiles.
Template for a double-buffered threadblock-scoped GEMM kernel.
Top-level include for all CUTLASS numeric types.
Basic include for CUTLASS.