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/*! \file
    \brief 
      Default kernel-level Rank 2k  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.

  
*/

#pragma once

#include "cutlass/blas3.h"

#include "cutlass/complex.h"
#include "cutlass/layout/matrix.h"

#include "cutlass/gemm/kernel/rank_2k_universal.h"
#include "cutlass/gemm/kernel/default_rank_2k.h"
#include "cutlass/gemm/kernel/default_rank_2k_complex.h"

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

namespace cutlass {
namespace gemm {
namespace kernel {

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

template <
    /// Element type for A matrix operand
    typename ElementA_,
    /// Layout type for A matrix operand
    typename LayoutA_,
    /// Complex elementwise transformation on A operand
    ComplexTransform TransformA,
    /// 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_,
    /// Complex elementwise transformation on B operand
    ComplexTransform TransformB,
    /// 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 SYRK
    typename Operator,
    /// Blas3 computation mode (symmetric/hermitian)
    BlasMode BlasMode_ = BlasMode::kSymmetric,
    ///
    typename Enable = void
    >
struct DefaultRank2KUniversal;

/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Real-valued Rank 2k update kernels
//

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 Rank2k
    typename Operator>
struct DefaultRank2KUniversal<
  ElementA,
  LayoutA,
  ComplexTransform::kNone,   // transform A
  kAlignmentA,
  ElementB,
  LayoutB,
  ComplexTransform::kNone,   // transform B
  kAlignmentB,
  ElementC,
  LayoutC,
  FillModeC,
  ElementAccumulator,
  OperatorClass,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  Stages,
  SplitKSerial,
  Operator,
  BlasMode::kSymmetric,
  typename std::enable_if< ! cutlass::is_complex<ElementAccumulator>::value>::type
> {

  using DefaultRank2Kkernel = typename kernel::DefaultRank2K<
    ElementA,
    LayoutA,
    kAlignmentA,
    ElementB,
    LayoutB,
    kAlignmentB,
    ElementC,
    LayoutC,
    FillModeC,
    ElementAccumulator,
    OperatorClass,
    ArchTag,
    ThreadblockShape,
    WarpShape,
    InstructionShape,
    EpilogueOutputOp,
    ThreadblockSwizzle,
    Stages,
    SplitKSerial,
    Operator,
    BlasMode::kSymmetric
  >::Rank2Kkernel;

    /// Define the kernel in terms of the default kernel
  using Rank2Kkernel = kernel::Rank2KUniversal<
    typename DefaultRank2Kkernel::Mma1,
    typename DefaultRank2Kkernel::Mma2,
    typename DefaultRank2Kkernel::Epilogue, 
    ThreadblockSwizzle,
    FillModeC,
    BlasMode::kSymmetric
  >;
};

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

//
// Complex-valued Rank 2K update kernels
//

template <
    /// Element type for A matrix operand
    typename ElementA,
    /// Layout type for A matrix operand
    typename LayoutA,
    /// Complex elementwise transformation on A operand
    ComplexTransform TransformA,
    /// 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,
    /// Complex elementwise transformation on B operand
    ComplexTransform TransformB,
    /// 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 SYRK
    typename Operator,
    // BlasMode
    BlasMode kBlasMode
  >

struct DefaultRank2KUniversal<
  ElementA,
  LayoutA,
  TransformA,   
  kAlignmentA,
  ElementB,
  LayoutB,
  TransformB,  
  kAlignmentB,
  ElementC,
  LayoutC,
  FillModeC,
  ElementAccumulator,
  OperatorClass,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  Stages,
  SplitKSerial,
  Operator,
  kBlasMode,
  typename std::enable_if<cutlass::is_complex<ElementAccumulator>::value>::type
> {

  using DefaultRank2Kkernel = typename kernel::DefaultRank2KComplex<
    ElementA,
    LayoutA,
    ElementB,
    LayoutB,
    ElementC,
    LayoutC,
    FillModeC,
    ElementAccumulator,
    OperatorClass,
    ArchTag,
    ThreadblockShape,
    WarpShape,
    InstructionShape,
    EpilogueOutputOp,
    ThreadblockSwizzle,
    Stages,
    TransformA,
    TransformB,
    Operator,
    SplitKSerial,
    kBlasMode
  >::Rank2Kkernel;

    /// Define the kernel in terms of the default kernel
  using Rank2Kkernel = kernel::Rank2KUniversal<
    typename DefaultRank2Kkernel::Mma1,
    typename DefaultRank2Kkernel::Mma2,
    typename DefaultRank2Kkernel::Epilogue, 
    ThreadblockSwizzle,
    FillModeC,
    kBlasMode
  >;
};

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

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