mma_tensor_op_sm70.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/arch/mma.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/warp/mma.h"
#include "cutlass/gemm/warp/mma_tensor_op_policy.h"
#include "cutlass/gemm/warp/mma_tensor_op_tile_iterator_sm70.h"
namespace cutlass {
namespace gemm {
namespace warp {
template <
typename Shape_,
typename ElementA_,
typename LayoutA_,
typename ElementB_,
typename LayoutB_,
typename ElementC_,
typename LayoutC_,
typename Policy_,
typename Enable = bool
>
class MmaVoltaTensorOp {
public:
using Shape = Shape_;
using ElementA = ElementA_;
using LayoutA = LayoutA_;
using ElementB = ElementB_;
using LayoutB = LayoutB_;
using ElementC = ElementC_;
using LayoutC = LayoutC_;
using Policy = Policy_;
using OperatorClass = arch::OpClassTensorOp;
static int const kThreadCount = 32;
using InterleavedTileShape = GemmShape<32, 32, 4>;
static_assert(!(Shape::kM % InterleavedTileShape::kM) &&
!(Shape::kN % InterleavedTileShape::kN),
"Shape must be a multiple of InterleavedTileShape.");
public:
using IteratorA = MmaVoltaTensorOpMultiplicandTileIterator<
MatrixShape<Shape::kM, Shape::kK>,
Operand::kA,
ElementA,
LayoutA,
MatrixShape<
Policy::Operator::Shape::kM,
Policy::Operator::Shape::kK
>,
Policy::OpDelta::kRow,
kThreadCount
>;
using FragmentA = typename IteratorA::Fragment;
using IteratorB = MmaVoltaTensorOpMultiplicandTileIterator<
MatrixShape<Shape::kK, Shape::kN>,
Operand::kB,
ElementB,
LayoutB,
MatrixShape<
Policy::Operator::Shape::kK,
Policy::Operator::Shape::kN
>,
Policy::OpDelta::kRow,
kThreadCount
>;
using FragmentB = typename IteratorB::Fragment;
using IteratorC = MmaVoltaTensorOpAccumulatorTileIterator<
MatrixShape<Shape::kM, Shape::kN>,
ElementC,
LayoutC,
typename Policy::Operator::Shape,
typename Policy::OpDelta
>;
using FragmentC = typename IteratorC::Fragment;
private:
static_assert(
!(Shape::kM % Policy::Operator::Shape::kM) &&
!(Shape::kN % Policy::Operator::Shape::kN),
"Shape of warp-level Mma must be divisible by operator shape.");
using MmaIterations = MatrixShape<
InterleavedTileShape::kM / Policy::Operator::Shape::kM,
InterleavedTileShape::kN / Policy::Operator::Shape::kN
>;
using TileIterations = MatrixShape<
Shape::kM / InterleavedTileShape::kM,
Shape::kN / InterleavedTileShape::kN
>;
// Whether matrix B is reordered
bool reorder_B_;
public:
typename Policy::Operator mma;
public:
//
// Methods
//
CUTLASS_DEVICE
MmaVoltaTensorOp() {}
CUTLASS_DEVICE
void operator()(
FragmentC &D,
FragmentA const &A,
FragmentB const &B,
FragmentC const &C,
int const &partitionN_idx = 0) {
using MmaOperandA = typename Policy::Operator::FragmentA;
using MmaOperandB = typename Policy::Operator::FragmentB;
using MmaOperandC = typename Policy::Operator::FragmentC;
D = C;
MmaOperandA const *ptr_A = reinterpret_cast<MmaOperandA const *>(&A);
MmaOperandB const *ptr_B = reinterpret_cast<MmaOperandB const *>(&B);
MmaOperandC *ptr_D = reinterpret_cast<MmaOperandC *>(&D);
CUTLASS_PRAGMA_UNROLL
for (int outer_col = 0; outer_col < TileIterations::kColumn; ++outer_col) {
CUTLASS_PRAGMA_UNROLL
for (int inner_col = 0; inner_col < MmaIterations::kColumn; ++inner_col) {
CUTLASS_PRAGMA_UNROLL
for (int outer_row = 0; outer_row < TileIterations::kRow; ++outer_row) {
CUTLASS_PRAGMA_UNROLL
for (int inner_row = 0; inner_row < MmaIterations::kRow; ++inner_row) {
int op_col = inner_col + MmaIterations::kColumn * outer_col;
// Column-major serpentine sequence to maximize reuse of A operand.
int inner_row_serp = inner_row;
int outer_row_serp = outer_row;
if (op_col & 1) {
inner_row_serp = MmaIterations::kRow - inner_row - 1;
outer_row_serp = TileIterations::kRow - outer_row - 1;
}
int op_row = inner_row_serp + MmaIterations::kRow * outer_row_serp;
int op_idx = inner_row_serp + MmaIterations::kRow *
(inner_col + MmaIterations::kColumn *
(outer_row_serp + TileIterations::kRow * outer_col));
mma(
ptr_D[op_idx],
ptr_A[op_row],
ptr_B[op_col],
ptr_D[op_idx]);
}
}
}
}
}
};
} // namespace warp
} // namespace gemm
} // namespace cutlass
cutlass::gemm::warp::MmaVoltaTensorOp::Policy
Policy_ Policy
Shape of the warp in units of thread (concept: MmaLanePolicySimt)
Definition: mma_tensor_op_sm70.h:101
cutlass::gemm::warp::MmaVoltaTensorOp::FragmentB
typename IteratorB::Fragment FragmentB
Storage for B tile.
Definition: mma_tensor_op_sm70.h:149
cutlass::gemm::GemmShape::kM
static int const kM
Definition: include/cutlass/gemm/gemm.h:58
cutlass::MatrixShape
Describes the size of a matrix tile.
Definition: matrix_shape.h:42
cutlass::gemm::warp::MmaVoltaTensorOp::LayoutB
LayoutB_ LayoutB
Layout of multiplicand B.
Definition: mma_tensor_op_sm70.h:92
cutlass::gemm::warp::MmaVoltaTensorOpMultiplicandTileIterator
Definition: mma_tensor_op_tile_iterator_sm70.h:70
cutlass
Definition: aligned_buffer.h:35
cutlass::MatrixShape::kColumn
static int const kColumn
columns of a matrix
Definition: matrix_shape.h:44
gemm.h
Defines common types used for all GEMM-like operators.
cutlass::gemm::warp::MmaVoltaTensorOp::Shape
Shape_ Shape
Shape of warp-level matrix operation (concept: GemmShape)
Definition: mma_tensor_op_sm70.h:80
cutlass::gemm::warp::MmaVoltaTensorOp::OperatorClass
arch::OpClassTensorOp OperatorClass
Indicates class of matrix operator.
Definition: mma_tensor_op_sm70.h:104
cutlass::gemm::warp::MmaVoltaTensorOp::LayoutA
LayoutA_ LayoutA
Layout of multiplicand A.
Definition: mma_tensor_op_sm70.h:86
cutlass::gemm::warp::MmaVoltaTensorOpAccumulatorTileIterator::Fragment
Array< Element, Shape::kCount/kThreads > Fragment
Fragment object holding a thread&#39;s part of a tile.
Definition: mma_tensor_op_tile_iterator_sm70.h:1213
cutlass::gemm::warp::MmaVoltaTensorOp::ElementA
ElementA_ ElementA
Data type of multiplicand A.
Definition: mma_tensor_op_sm70.h:83
array.h
Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...
CUTLASS_PRAGMA_UNROLL
#define CUTLASS_PRAGMA_UNROLL
Definition: cutlass.h:110
mma.h
Templates exposing architecture support for warp-level multiply-add operations.
mma.h
Templates exposing architecture support for multiply-add operations.
cutlass::gemm::Operand::kA
mma_tensor_op_tile_iterator_sm70.h
Defines iterators used by warp-level matrix multiply operations targeting Tensor Cores.
matrix_shape.h
Defines a Shape template for matrix tiles.
cutlass::gemm::warp::MmaVoltaTensorOp::ElementB
ElementB_ ElementB
Data type of multiplicand B.
Definition: mma_tensor_op_sm70.h:89
cutlass::gemm::warp::MmaVoltaTensorOp::operator()
CUTLASS_DEVICE void operator()(FragmentC &D, FragmentA const &A, FragmentB const &B, FragmentC const &C, int const &partitionN_idx=0)
Performs a warp-level matrix multiply-accumulate operation.
Definition: mma_tensor_op_sm70.h:200
cutlass::gemm::warp::MmaVoltaTensorOp::mma
Policy::Operator mma
Underlying matrix multiply operator (concept: arch::Mma)
Definition: mma_tensor_op_sm70.h:186
cutlass::gemm::warp::MmaVoltaTensorOp
Structure to compute the matrix product targeting CUDA cores and SIMT math instructions.
Definition: mma_tensor_op_sm70.h:77
cutlass::MatrixShape::kRow
static int const kRow
rows of a matrix
Definition: matrix_shape.h:43
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
static_assert
#define static_assert(__e, __m)
Definition: platform.h:153
cutlass::gemm::warp::MmaVoltaTensorOp::FragmentC
typename IteratorC::Fragment FragmentC
Storage for C tile.
Definition: mma_tensor_op_sm70.h:161
cutlass::gemm::warp::MmaVoltaTensorOp::LayoutC
LayoutC_ LayoutC
Layout of accumulator matrix C.
Definition: mma_tensor_op_sm70.h:98
cutlass::gemm::warp::MmaVoltaTensorOp::kThreadCount
static int const kThreadCount
Number of threads participating in warp-level matrix product.
Definition: mma_tensor_op_sm70.h:107
cutlass::gemm::warp::MmaVoltaTensorOp::MmaVoltaTensorOp
CUTLASS_DEVICE MmaVoltaTensorOp()
Ctor.
Definition: mma_tensor_op_sm70.h:196
cutlass::gemm::warp::MmaVoltaTensorOpAccumulatorTileIterator
Definition: mma_tensor_op_tile_iterator_sm70.h:1135
cutlass::gemm::warp::MmaVoltaTensorOp::ElementC
ElementC_ ElementC
Data type of accumulator matrix C.
Definition: mma_tensor_op_sm70.h:95
cutlass::gemm::Operand::kB
A multiplicand.
cutlass::gemm::warp::MmaVoltaTensorOp::FragmentA
typename IteratorA::Fragment FragmentA
Storage for A tile.
Definition: mma_tensor_op_sm70.h:132
cutlass.h
Basic include for CUTLASS.
mma_tensor_op_policy.h
Policy describing implementation details of warp-level GEMM targeting Tensor Cores.
cutlass::gemm::GemmShape::kN
static int const kN
Definition: include/cutlass/gemm/gemm.h:59