cutlass/include/cutlass/gemm/kernel/default_gemm_complex.h
ANIKET SHIVAM 66d9cddc83
New updates for 2.11 (#775)
* New updates.

* Minor profiler updates

Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
2023-01-20 16:32:57 -05:00

405 lines
16 KiB
C++

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/*! \file
\brief
Default kernel-level GEMM definitions combine threadblock-scoped matrix multiply-add with
the appropriate threadblock-scoped epilogue.
Note, CUTLASS epilogues universally target row-major outputs. Column-major outputs are
accommodated by exchanging A and B operands and assuming transposed layouts. Partial
specializations here choose 'device::GemmTransposed' to implement this functionality.
*/
#pragma once
#include "cutlass/cutlass.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/numeric_types.h"
#include "cutlass/epilogue/threadblock/epilogue.h"
#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/kernel/gemm.h"
#include "cutlass/gemm/kernel/gemm_pipelined.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm75.h"
#include "cutlass/gemm/threadblock/default_mma_core_sm70.h"
#include "cutlass/gemm/threadblock/default_mma_core_simt.h"
#include "cutlass/gemm/threadblock/default_multistage_mma_complex_core_sm80.h"
#include "cutlass/gemm/threadblock/default_mma.h"
#include "cutlass/gemm/threadblock/default_multistage_mma_complex.h"
#include "cutlass/gemm/threadblock/default_mma_core_simt.h"
#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
#include "cutlass/epilogue/threadblock/default_epilogue_complex_tensor_op.h"
#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
#include "cutlass/transform/threadblock/predicated_tile_iterator.h"
////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA_,
/// Layout type for A matrix operand
typename LayoutA_,
/// Element type for B matrix operand
typename ElementB_,
/// Layout type for B matrix operand
typename LayoutB_,
/// Element type for C and D matrix operands
typename ElementC_,
/// Layout type for C and D matrix operands
typename LayoutC_,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Operator class tag
typename OperatorClass,
/// Tag indicating architecture to tune for
typename ArchTag,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Multiply-add operator
// (arch::OpMultiplyAddComplex, arch::OpMultiplyGaussianComplex)
typename Operator,
/// If true, kernel is configured to support serial reduction in the epilogue
bool SplitKSerial
>
struct DefaultGemmComplex;
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Hopper Architecture
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Element type for C and D matrix operands
typename ElementC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Multiply-add operator
// (arch::OpMultiplyAddComplex, arch::OpMultiplyGaussianComplex)
typename Operator,
/// If true, kernel is configured to support serial reduction in the epilogue
bool SplitKSerial
>
struct DefaultGemmComplex<
ElementA, LayoutA, ElementB, LayoutB, ElementC,
layout::RowMajor, ElementAccumulator, arch::OpClassTensorOp,
arch::Sm90, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages, TransformA, TransformB, Operator, SplitKSerial> {
/// Define the threadblock-scoped matrix multiply-accumulate
using Mma = typename cutlass::gemm::threadblock::DefaultMultistageMmaComplex<
ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator,
layout::RowMajor, arch::OpClassTensorOp, arch::Sm90, ThreadblockShape,
WarpShape, InstructionShape, Stages, TransformA, TransformB, Operator>::ThreadblockMma;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueComplexTensorOp<
ThreadblockShape, typename Mma::Operator, 1, EpilogueOutputOp,
EpilogueOutputOp::kCount, Operator>::Epilogue;
/// Define the kernel-level GEMM operator.
using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
};
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Element type for C and D matrix operands
typename ElementC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Multiply-add operator
// (arch::OpMultiplyAddComplex, arch::OpMultiplyGaussianComplex)
typename Operator,
/// If true, kernel is configured to support serial reduction in the epilogue
bool SplitKSerial
>
struct DefaultGemmComplex<
ElementA, LayoutA, ElementB, LayoutB, ElementC,
layout::RowMajor, ElementAccumulator, arch::OpClassSimt,
arch::Sm50, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages, TransformA, TransformB, Operator, SplitKSerial> {
/// Define the threadblock-scoped matrix multiply-accumulate
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
ThreadblockShape,
WarpShape,
InstructionShape,
ElementA, LayoutA,
ElementB, LayoutB,
ElementAccumulator, layout::RowMajor,
arch::OpClassSimt,
Stages,
Operator,
false,
cutlass::arch::CacheOperation::Global,
cutlass::arch::CacheOperation::Global,
TransformA,
TransformB
>;
// Define iterators over tiles from the A operand
using IteratorA =
cutlass::transform::threadblock::PredicatedTileIterator<
cutlass::MatrixShape<ThreadblockShape::kM, ThreadblockShape::kK>,
ElementA, LayoutA, 1,
typename MmaCore::IteratorThreadMapA>;
// Define iterators over tiles from the B operand
using IteratorB =
cutlass::transform::threadblock::PredicatedTileIterator<
cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
ElementB, LayoutB, 0,
typename MmaCore::IteratorThreadMapB>;
// Define the threadblock-scoped pipelined matrix multiply
using Mma = cutlass::gemm::threadblock::MmaPipelined<
typename MmaCore::Shape, IteratorA, typename MmaCore::SmemIteratorA,
IteratorB, typename MmaCore::SmemIteratorB, ElementAccumulator,
layout::RowMajor, typename MmaCore::MmaPolicy>;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
ThreadblockShape,
typename Mma::Operator,
EpilogueOutputOp,
EpilogueOutputOp::kCount
>::Epilogue;
/// Define the kernel-level GEMM operator.
using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
};
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Element type for C and D matrix operands
typename ElementC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Multiply-add operator
// (arch::OpMultiplyAddComplex, arch::OpMultiplyGaussianComplex)
typename Operator,
/// If true, kernel is configured to support serial reduction in the epilogue
bool SplitKSerial
>
struct DefaultGemmComplex<
ElementA, LayoutA, ElementB, LayoutB, ElementC,
layout::RowMajor, ElementAccumulator, arch::OpClassTensorOp,
arch::Sm80, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages, TransformA, TransformB, Operator, SplitKSerial> {
/// Define the threadblock-scoped matrix multiply-accumulate
using Mma = typename cutlass::gemm::threadblock::DefaultMultistageMmaComplex<
ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator,
layout::RowMajor, arch::OpClassTensorOp, arch::Sm80, ThreadblockShape,
WarpShape, InstructionShape, Stages, TransformA, TransformB, Operator>::ThreadblockMma;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueComplexTensorOp<
ThreadblockShape, typename Mma::Operator, 1, EpilogueOutputOp,
EpilogueOutputOp::kCount, Operator>::Epilogue;
/// Define the kernel-level GEMM operator.
using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
};
////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Ampere Architecture
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Element type for B matrix operand
typename ElementB,
/// Layout type for B matrix operand
typename LayoutB,
/// Element type for C and D matrix operands
typename ElementC,
/// Element type for internal accumulation
typename ElementAccumulator,
/// Threadblock-level tile size (concept: GemmShape)
typename ThreadblockShape,
/// Warp-level tile size (concept: GemmShape)
typename WarpShape,
/// Warp-level tile size (concept: GemmShape)
typename InstructionShape,
/// Epilogue output operator
typename EpilogueOutputOp,
/// Threadblock-level swizzling operator
typename ThreadblockSwizzle,
/// Number of stages used in the pipelined mainloop
int Stages,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// Multiply-add operator
// (arch::OpMultiplyAddComplex, arch::OpMultiplyGaussianComplex)
typename Operator,
/// If true, kernel is configured to support serial reduction in the epilogue
bool SplitKSerial
>
struct DefaultGemmComplex<
ElementA, LayoutA, ElementB, LayoutB, ElementC,
layout::RowMajor, ElementAccumulator, arch::OpClassSimt,
arch::Sm80, ThreadblockShape, WarpShape, InstructionShape,
EpilogueOutputOp, ThreadblockSwizzle, Stages, TransformA, TransformB, Operator, SplitKSerial> {
/// Define the threadblock-scoped matrix multiply-accumulate
using Mma = typename cutlass::gemm::threadblock::DefaultMultistageMmaComplex<
ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator,
layout::RowMajor, arch::OpClassSimt, arch::Sm80, ThreadblockShape,
WarpShape, InstructionShape, Stages, TransformA, TransformB, Operator>::ThreadblockMma;
/// Define the epilogue
using Epilogue =
typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
ThreadblockShape,
typename Mma::Operator,
EpilogueOutputOp,
EpilogueOutputOp::kCount
>::Epilogue;
/// Define the kernel-level GEMM operator.
using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
};
////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
////////////////////////////////////////////////////////////////////////////////