default_rank_2k.h

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/*! \file
    \brief 
      Default kernel-level Rank2K definitions combine threadblock-scoped matrix multiply-add with
      the appropriate threadblock-scoped epilogue.

  
*/

#pragma once

#include "cutlass/blas3.h"

#include "cutlass/layout/matrix.h"
#include "cutlass/arch/wmma.h"

#include "cutlass/epilogue/threadblock/epilogue.h"
#include "cutlass/epilogue/thread/linear_combination.h"

#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/kernel/rank_2k_universal.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_sm80.h"
#include "cutlass/gemm/threadblock/default_mma.h"
#include "cutlass/gemm/threadblock/default_mma_core_simt.h"
#include "cutlass/gemm/threadblock/threadblock_swizzle.h"

#include "cutlass/epilogue/threadblock/default_epilogue_tensor_op_blas3.h"
#include "cutlass/epilogue/threadblock/default_epilogue_volta_tensor_op.h"
#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
#include "cutlass/transform/threadblock/predicated_tile_iterator.h"

#if defined(CUTLASS_ARCH_WMMA_ENABLED)
#include "cutlass/epilogue/threadblock/default_epilogue_wmma_tensor_op.h"
#endif //CUTLASS_ARCH_WMMA_ENABLED


////////////////////////////////////////////////////////////////////////////////

namespace cutlass {
namespace gemm {
namespace kernel {

////////////////////////////////////////////////////////////////////////////////

template <
    /// Element type for A matrix operand
    typename ElementA_,
    /// Layout type for A matrix operand
    typename LayoutA_,
    /// Access granularity of A matrix in units of elements
    int kAlignmentA,
    /// Element type for B matrix operand
    typename ElementB_,
    /// Layout type for B matrix operand
    typename LayoutB_,
    /// Access granularity of B matrix in units of elements
    int kAlignmentB,
    /// Element type for C and D matrix operands
    typename ElementC_,
    /// Layout type for C and D matrix operands
    typename LayoutC_,
    /// Fill Mode for C (kLower or kUpper)
    FillMode FillModeC_,
    /// 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,
    /// If true, kernel is configured to support serial reduction in the
    /// epilogue
    bool SplitKSerial,
    /// Operation performed by GEMM
    typename Operator,
    /// Blas3 computation mode
    BlasMode BlasMode_ = BlasMode::kSymmetric>
struct DefaultRank2K;

////////////////////////////////////////////////////////////////////////////////

/// Partial specialization for Hopper Architecture
template <
    /// Element type for A matrix operand
    typename ElementA,
    /// Layout type for A matrix operand
    typename LayoutA,
    /// Access granularity of A matrix in units of elements
    int kAlignmentA,
    /// Element type for B matrix operand
    typename ElementB,
    /// Layout type for B matrix operand
    typename LayoutB,
    /// Access granularity of A matrix in units of elements
    int kAlignmentB,
    /// Element type for C and D matrix operands
    typename ElementC,
    /// Fill Mode for C (kLower or kUpper)
    FillMode FillModeC,
    /// 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,
    /// If true, kernel is configured to support serial reduction in the
    /// epilogue
    bool SplitKSerial,
    /// Operation performed by GEMM
    typename Operator>
struct DefaultRank2K<
                    ElementA, LayoutA, kAlignmentA, 
                    ElementB, LayoutB, kAlignmentB, 
                    ElementC,layout::RowMajor, FillModeC, 
                    ElementAccumulator, arch::OpClassTensorOp, arch::Sm90, 
                    ThreadblockShape, WarpShape, InstructionShape,
                    EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial,
                    Operator> {
  /// Define the threadblock-scoped matrix multiply-accumulate (A x BT)
  using Mma1 = typename cutlass::gemm::threadblock::DefaultMma<
      ElementA, LayoutA, 
      kAlignmentA, 
      ElementB, typename layout::LayoutTranspose<LayoutB>::type, 
      kAlignmentB,
      ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm90,
      ThreadblockShape, WarpShape, InstructionShape, Stages,
      Operator>::ThreadblockMma;
  
  /// Define the threadblock-scoped matrix multiply-accumulate (B x AT)
  using Mma2 = typename cutlass::gemm::threadblock::DefaultMma<
      ElementB, LayoutB, 
      kAlignmentB, 
      ElementA, typename layout::LayoutTranspose<LayoutA>::type, 
      kAlignmentA,
      ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm90,
      ThreadblockShape, WarpShape, InstructionShape, Stages,
      Operator>::ThreadblockMma;

  static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;

  /// Define the epilogue
  using Epilogue =
      typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOpBlas3<
          ThreadblockShape, typename Mma1::Operator, kPartitionsK, EpilogueOutputOp,
          EpilogueOutputOp::kCount, BlasMode::kSymmetric>::Epilogue;

  /// Define the kernel-level Rank2K operator.
  using Rank2Kkernel = kernel::Rank2KUniversal<Mma1, Mma2, Epilogue, ThreadblockSwizzle, FillModeC, BlasMode::kSymmetric>;
};

////////////////////////////////////////////////////////////////////////////////

/// Partial specialization for Ampere Architecture
template <
    /// Element type for A matrix operand
    typename ElementA,
    /// Layout type for A matrix operand
    typename LayoutA,
    /// Access granularity of A matrix in units of elements
    int kAlignmentA,
    /// Element type for B matrix operand
    typename ElementB,
    /// Layout type for B matrix operand
    typename LayoutB,
    /// Access granularity of A matrix in units of elements
    int kAlignmentB,
    /// Element type for C and D matrix operands
    typename ElementC,
    /// Fill Mode for C (kLower or kUpper)
    FillMode FillModeC,
    /// 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,
    /// If true, kernel is configured to support serial reduction in the
    /// epilogue
    bool SplitKSerial,
    /// Operation performed by GEMM
    typename Operator>
struct DefaultRank2K<
                    ElementA, LayoutA, kAlignmentA, 
                    ElementB, LayoutB, kAlignmentB, 
                    ElementC,layout::RowMajor, FillModeC, 
                    ElementAccumulator, arch::OpClassTensorOp, arch::Sm80, 
                    ThreadblockShape, WarpShape, InstructionShape,
                    EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial,
                    Operator> {
  /// Define the threadblock-scoped matrix multiply-accumulate (A x BT)
  using Mma1 = typename cutlass::gemm::threadblock::DefaultMma<
      ElementA, LayoutA, 
      kAlignmentA, 
      ElementB, typename layout::LayoutTranspose<LayoutB>::type, 
      kAlignmentB,
      ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
      ThreadblockShape, WarpShape, InstructionShape, Stages,
      Operator>::ThreadblockMma;
  
  /// Define the threadblock-scoped matrix multiply-accumulate (B x AT)
  using Mma2 = typename cutlass::gemm::threadblock::DefaultMma<
      ElementB, LayoutB, 
      kAlignmentB, 
      ElementA, typename layout::LayoutTranspose<LayoutA>::type, 
      kAlignmentA,
      ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
      ThreadblockShape, WarpShape, InstructionShape, Stages,
      Operator>::ThreadblockMma;

  static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;

  /// Define the epilogue
  using Epilogue =
      typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOpBlas3<
          ThreadblockShape, typename Mma1::Operator, kPartitionsK, EpilogueOutputOp,
          EpilogueOutputOp::kCount, BlasMode::kSymmetric>::Epilogue;

  /// Define the kernel-level Rank2K operator.
  using Rank2Kkernel = kernel::Rank2KUniversal<Mma1, Mma2, Epilogue, ThreadblockSwizzle, FillModeC, BlasMode::kSymmetric>;
};
////////////////////////////////////////////////////////////////////////////////


}  // namespace kernel
}  // namespace gemm
}  // namespace cutlass