CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers
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cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ > Struct Template Reference

#include <default_mma_core_sm70.h>

Public Types

using Shape = Shape_
 
using WarpShape = WarpShape_
 
using InstructionShape = GemmShape< 8, 8, 4 >
 
using ElementA = ElementA_
 
using LayoutA = layout::ColumnMajor
 
using ElementB = ElementB_
 
using LayoutB = layout::ColumnMajor
 
using ElementC = ElementC_
 
using LayoutC = LayoutC_
 
using OperatorClass = arch::OpClassTensorOp
 
using Operator = Operator_
 Default Operator. More...
 
using WarpCount = GemmShape< Shape::kM/WarpShape::kM, Shape::kN/WarpShape::kN, Shape::kK/WarpShape::kK >
 Number of warps present. More...
 
using SmemLayoutA = layout::ColumnMajorVoltaTensorOpMultiplicandCongruous< sizeof_bits< ElementA >::value >
 
using SmemLayoutB = layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise< sizeof_bits< ElementB >::value, Shape::kK >
 
using IteratorThreadMapA = transform::PitchLinearWarpRakedThreadMap< layout::PitchLinearShape< Shape::kM, Shape::kK >, kThreads, layout::PitchLinearShape< 8, 4 >, kAccessSizeInBits/sizeof_bits< ElementA >::value >
 ThreadMap of iterator A. More...
 
using SmemIteratorA = transform::threadblock::RegularTileIterator< MatrixShape< Shape::kM, Shape::kK >, ElementA, SmemLayoutA, 1, IteratorThreadMapA >
 Shared memory iterator to A operand. More...
 
using IteratorThreadMapB = transform::PitchLinearWarpRakedThreadMap< layout::PitchLinearShape< Shape::kK, Shape::kN >, kThreads, layout::PitchLinearShape< 4, 8 >, kAccessSizeInBits/sizeof_bits< ElementB >::value >
 ThreadMap of iterator B. More...
 
using SmemIteratorB = transform::threadblock::RegularTileIterator< MatrixShape< Shape::kK, Shape::kN >, ElementB, SmemLayoutB, 1, IteratorThreadMapB >
 Shared memory iterator to B operand. More...
 
using Policy = cutlass::gemm::warp::MmaTensorOpPolicy< cutlass::arch::Mma< cutlass::gemm::GemmShape< 16, 16, 4 >, 32, ElementA, LayoutA, ElementB, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd >, cutlass::MatrixShape< 1, 1 > >
 
using MmaTensorOp = cutlass::gemm::warp::MmaVoltaTensorOp< WarpShape, ElementA, SmemLayoutA, ElementB, SmemLayoutB, ElementC, LayoutC, Policy >
 
using MmaPolicy = MmaPolicy< MmaTensorOp, MatrixShape< 0, 0 >, MatrixShape< 0, 0 >, WarpCount::kK >
 Policy used to define MmaPipelined. More...
 

Static Public Attributes

static int const kWarpSize = warp::WarpSize<arch::OpClassTensorOp>::value
 Number of threads per warp. More...
 
static int const kThreads = WarpCount::kCount * kWarpSize
 Number of threads total. More...
 
static int const kAccessSizeInBits = 128
 Size of a threadblock-scoped access. More...
 

Detailed Description

template<typename Shape_, typename WarpShape_, typename ElementA_, typename ElementB_, typename ElementC_, typename LayoutC_, typename Operator_>
struct cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >

Partial specialization:

A: column-major B: column-major Operator: tensor op class

This uses the default warp-level operator given tile sizes

Member Typedef Documentation

template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::ElementA = ElementA_
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::ElementB = ElementB_
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::ElementC = ElementC_
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::InstructionShape = GemmShape<8, 8, 4>
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::IteratorThreadMapA = transform::PitchLinearWarpRakedThreadMap< layout::PitchLinearShape<Shape::kM, Shape::kK>, kThreads, layout::PitchLinearShape<8, 4>, kAccessSizeInBits / sizeof_bits<ElementA>::value >
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::IteratorThreadMapB = transform::PitchLinearWarpRakedThreadMap< layout::PitchLinearShape<Shape::kK, Shape::kN>, kThreads, layout::PitchLinearShape<4, 8>, kAccessSizeInBits / sizeof_bits<ElementB>::value >
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::LayoutA = layout::ColumnMajor
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::LayoutB = layout::ColumnMajor
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::LayoutC = LayoutC_
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::MmaPolicy = MmaPolicy< MmaTensorOp, MatrixShape<0, 0>, MatrixShape<0, 0>, WarpCount::kK >
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::MmaTensorOp = cutlass::gemm::warp::MmaVoltaTensorOp< WarpShape, ElementA, SmemLayoutA, ElementB, SmemLayoutB, ElementC, LayoutC, Policy >
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::Operator = Operator_
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::OperatorClass = arch::OpClassTensorOp
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::Policy = cutlass::gemm::warp::MmaTensorOpPolicy< cutlass::arch::Mma< cutlass::gemm::GemmShape<16, 16, 4>, 32, ElementA, LayoutA, ElementB, LayoutB, ElementC, cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAdd >, cutlass::MatrixShape<1, 1> >
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::Shape = Shape_
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::SmemIteratorA = transform::threadblock::RegularTileIterator< MatrixShape<Shape::kM, Shape::kK>, ElementA, SmemLayoutA, 1, IteratorThreadMapA >
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::SmemIteratorB = transform::threadblock::RegularTileIterator< MatrixShape<Shape::kK, Shape::kN>, ElementB, SmemLayoutB, 1, IteratorThreadMapB >
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::SmemLayoutA = layout::ColumnMajorVoltaTensorOpMultiplicandCongruous< sizeof_bits<ElementA>::value>
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::SmemLayoutB = layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise< sizeof_bits<ElementB>::value, Shape::kK>
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::WarpCount = GemmShape< Shape::kM / WarpShape::kM, Shape::kN / WarpShape::kN, Shape::kK / WarpShape::kK >
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
using cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::WarpShape = WarpShape_

Member Data Documentation

template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
int const cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::kAccessSizeInBits = 128
static
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
int const cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::kThreads = WarpCount::kCount * kWarpSize
static
template<typename Shape_ , typename WarpShape_ , typename ElementA_ , typename ElementB_ , typename ElementC_ , typename LayoutC_ , typename Operator_ >
int const cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 8, 8, 4 >, ElementA_, layout::ColumnMajor, ElementB_, layout::ColumnMajor, ElementC_, LayoutC_, arch::OpClassTensorOp, 2, Operator_ >::kWarpSize = warp::WarpSize<arch::OpClassTensorOp>::value
static

The documentation for this struct was generated from the following file: