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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/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/gemm_layernorm_mainloop_fusion.h"
#include "cutlass/gemm/threadblock/default_mma_layernorm_mainloop_fusion.h"
#include "cutlass/gemm/threadblock/threadblock_swizzle.h"

#include "cutlass/epilogue/threadblock/default_epilogue_tensor_op.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,
    /// 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 Scale/Bias vectors
    typename ElementScaleBias,
    /// Layout type for Scale/Bias vectors
    typename LayoutScaleBias,
    /// 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,
    /// Operation performed by GEMM
    typename Operator,
    /// Use zfill or predicate for out-of-bound cp.async
    SharedMemoryClearOption SharedMemoryClear = SharedMemoryClearOption::kNone>
struct DefaultGemmLayernormMainloopFusion {

  /// Define the threadblock-scoped matrix multiply-accumulate
  using Mma = typename cutlass::gemm::threadblock::DefaultMmaLayernormMainloopFusion<
      ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB,
      ElementScaleBias, LayoutScaleBias, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
      ThreadblockShape, WarpShape, InstructionShape, Stages,
      Operator, false, SharedMemoryClear>::ThreadblockMma;

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

  /// Define the epilogue
  using Epilogue =
      typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOp<
          ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp,
          EpilogueOutputOp::kCount>::Epilogue;

  /// Define the kernel-level GEMM operator.
  using GemmKernel = kernel::GemmLayernormMainloopFusion<Mma, Epilogue, ThreadblockSwizzle>;
};

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

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

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