default_mma_core_sm50.h
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#pragma once
#include "cutlass/cutlass.h"
#include "cutlass/array.h"
#include "cutlass/numeric_types.h"
#include "cutlass/matrix_shape.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/transform/pitch_linear_thread_map.h"
#include "cutlass/transform/threadblock/regular_tile_iterator.h"
#include "cutlass/gemm/warp/mma_simt.h"
#include "cutlass/gemm/threadblock/default_mma_core.h"
namespace cutlass {
namespace gemm {
namespace threadblock {
template <
typename Shape_,
typename WarpShape_,
typename ElementA_,
typename ElementB_,
typename ElementC_,
typename LayoutC_,
typename Operator_>
struct DefaultMmaCore<Shape_, WarpShape_, GemmShape<1, 1, 1>, ElementA_,
layout::ColumnMajor, ElementB_, layout::RowMajor,
ElementC_, LayoutC_, arch::OpClassSimt, 2, Operator_,
> {
using Shape = Shape_;
using WarpShape = WarpShape_;
using InstructionShape = InstructionShape_;
using ElementA = ElementA_;
using LayoutA = layout::ColumnMajor;
using ElementB = ElementB_;
using LayoutB = layout::RowMajor;
using ElementC = ElementC_;
using LayoutC = LayoutC_;
using OperatorClass = arch::OpClassSimt;
using WarpCount = GemmShape<
Shape::kM / WarpShape::kM,
Shape::kN / WarpShape::kN,
Shape::kK / WarpShape::kK
>;
// Divisility requirements
static_assert(
!(Shape::kM % WarpShape::kM) &&
!(Shape::kN % WarpShape::kN),
"Threadblock-scoped GEMM should be divisible by warp-scoped GEMM size."
);
static int const kWarpSize = warp::WarpSize<arch::OpClassTensorOp>::value;
static int const kThreads = WarpCount::kCount * kWarpSize;
//
// Shared memory layouts
//
using SmemLayoutA = layout::ColumnMajor;
using SmemLayoutB = layout::RowMajor;
//
// Iterators to write to shared memory
//
using IteratorThreadMapA = transform::PitchLinearStripminedThreadMap<
layout::PitchLinearShape<Shape::kM, Shape::kK>,
kThreads,
1
>;
using SmemIteratorA = transform::threadblock::RegularTileIterator<
MatrixShape<Shape::kM, Shape::kK>,
ElementA,
SmemLayoutA,
1,
IteratorThreadMapA
>;
using IteratorThreadMapB = transform::PitchLinearStripminedThreadMap<
layout::PitchLinearShape<Shape::kN, Shape::kK>,
kThreads,
1
>;
using SmemIteratorB = transform::threadblock::RegularTileIterator<
MatrixShape<Shape::kK, Shape::kN>,
ElementB,
SmemLayoutB,
0,
IteratorThreadMapB
>;
//
// Warp-level matrix multiply operator
//
// Define the warp-level tensor op
using WarpMma = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
SmemLayoutA,
ElementB,
SmemLayoutB,
ElementC,
LayoutC,
warp::MmaSimtPolicy<
MatrixShape<4, 8>,
layout::RowMajorInterleaved<2>,
GemmShape<
128 / sizeof_bits<ElementA>::value,
128 / sizeof_bits<ElementB>::value,
1>
>
>
>;
using MmaPolicy = MmaPolicy<
WarpMma,
MatrixShape<0, 0>,
MatrixShape<0, 0>,
WarpCount::kK
>;
};
} // namespace threadblock
} // namespace gemm
} // namespace cutlass
cutlass::MatrixShape
Describes the size of a matrix tile.
Definition: matrix_shape.h:42
cutlass
Definition: aligned_buffer.h:35
cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 1, 1, 1 >, ElementA_, layout::ColumnMajor, ElementB_, layout::RowMajor, ElementC_, LayoutC_, arch::OpClassSimt, 2, Operator_, >::WarpShape
WarpShape_ WarpShape
Definition: default_mma_core_sm50.h:84
cutlass::gemm::warp::WarpSize
Query the number of threads per warp.
Definition: gemm/warp/mma.h:43
cutlass::gemm::threadblock::DefaultMmaCore
Definition: default_mma_core.h:90
pitch_linear_thread_map.h
Templates implementing how threads are mapped to a given tile.
cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 1, 1, 1 >, ElementA_, layout::ColumnMajor, ElementB_, layout::RowMajor, ElementC_, LayoutC_, arch::OpClassSimt, 2, Operator_, >::MmaPolicy
MmaPolicy< WarpMma, MatrixShape< 0, 0 >, MatrixShape< 0, 0 >, WarpCount::kK > MmaPolicy
Policy used to define MmaPipelined.
Definition: default_mma_core_sm50.h:190
cutlass::gemm::warp::MmaSimt
Structure to compute the matrix product targeting CUDA cores and SIMT math instructions.
Definition: mma_simt.h:74
cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 1, 1, 1 >, ElementA_, layout::ColumnMajor, ElementB_, layout::RowMajor, ElementC_, LayoutC_, arch::OpClassSimt, 2, Operator_, >::ElementB
ElementB_ ElementB
Definition: default_mma_core_sm50.h:88
cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 1, 1, 1 >, ElementA_, layout::ColumnMajor, ElementB_, layout::RowMajor, ElementC_, LayoutC_, arch::OpClassSimt, 2, Operator_, >::OperatorClass
arch::OpClassSimt OperatorClass
Definition: default_mma_core_sm50.h:92
cutlass::layout::ColumnMajor
Mapping function for column-major matrices.
Definition: layout/matrix.h:142
cutlass::layout::PitchLinearShape
Template defining a shape used by pitch-linear operators.
Definition: pitch_linear.h:43
array.h
Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...
cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 1, 1, 1 >, ElementA_, layout::ColumnMajor, ElementB_, layout::RowMajor, ElementC_, LayoutC_, arch::OpClassSimt, 2, Operator_, >::ElementC
ElementC_ ElementC
Definition: default_mma_core_sm50.h:90
cutlass::gemm::warp::MmaSimtPolicy
Describes the arrangement and configuration of per-lane operations in warp-level matrix multiply...
Definition: mma_simt_policy.h:46
matrix_shape.h
Defines a Shape template for matrix tiles.
cutlass::sizeof_bits
Defines the size of an element in bits.
Definition: numeric_types.h:42
cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 1, 1, 1 >, ElementA_, layout::ColumnMajor, ElementB_, layout::RowMajor, ElementC_, LayoutC_, arch::OpClassSimt, 2, Operator_, >::InstructionShape
InstructionShape_ InstructionShape
Definition: default_mma_core_sm50.h:85
default_mma_core.h
Defines basic properties needed by CTA-level GEMMs assuming expectations about data layout of the glo...
numeric_types.h
Top-level include for all CUTLASS numeric types.
cutlass::gemm::GemmShape
Shape of a matrix multiply-add operation.
Definition: include/cutlass/gemm/gemm.h:57
cutlass::transform::threadblock::RegularTileIterator
Definition: regular_tile_iterator.h:50
static_assert
#define static_assert(__e, __m)
Definition: platform.h:153
cutlass::layout::RowMajor
Mapping function for row-major matrices.
Definition: layout/matrix.h:50
cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 1, 1, 1 >, ElementA_, layout::ColumnMajor, ElementB_, layout::RowMajor, ElementC_, LayoutC_, arch::OpClassSimt, 2, Operator_, >::ElementA
ElementA_ ElementA
Definition: default_mma_core_sm50.h:86
cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 1, 1, 1 >, ElementA_, layout::ColumnMajor, ElementB_, layout::RowMajor, ElementC_, LayoutC_, arch::OpClassSimt, 2, Operator_, >::LayoutC
LayoutC_ LayoutC
Definition: default_mma_core_sm50.h:91
regular_tile_iterator.h
Templates implementing storing of tiles from pitch-linear rank=2 tensors.
matrix.h
Defines layout functions used by TensorRef and derived classes.
cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 1, 1, 1 >, ElementA_, layout::ColumnMajor, ElementB_, layout::RowMajor, ElementC_, LayoutC_, arch::OpClassSimt, 2, Operator_, >::Shape
Shape_ Shape
Definition: default_mma_core_sm50.h:83
cutlass::gemm::threadblock::DefaultMmaCore< Shape_, WarpShape_, GemmShape< 1, 1, 1 >, ElementA_, layout::ColumnMajor, ElementB_, layout::RowMajor, ElementC_, LayoutC_, arch::OpClassSimt, 2, Operator_, >::WarpMma
cutlass::gemm::warp::MmaSimt< WarpShape, ElementA, SmemLayoutA, ElementB, SmemLayoutB, ElementC, LayoutC, warp::MmaSimtPolicy< MatrixShape< 4, 8 >, layout::RowMajorInterleaved< 2 >, GemmShape< 128/sizeof_bits< ElementA >::value, 128/sizeof_bits< ElementB >::value, 1 > > > > WarpMma
Definition: default_mma_core_sm50.h:182
mma_simt.h
Templates implementing warp-level matrix multiply-accumulate operations.
cutlass.h
Basic include for CUTLASS.
cutlass::transform::PitchLinearStripminedThreadMap
Definition: pitch_linear_thread_map.h:59
cutlass::layout::RowMajorInterleaved
Definition: layout/matrix.h:237