default_thread_map_wmma_tensor_op.h

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#pragma once

#include "predicated_tile_iterator.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/layout/pitch_linear.h"


namespace cutlass {
namespace epilogue {
namespace threadblock {


template <
  typename ThreadblockShape_,
  typename WarpShape_,
  typename InstructionShape_,
  int PartitionsK,
  typename Element_,
  int ElementsPerAccess
>
struct DefaultThreadMapWmmaTensorOp {

  using ThreadblockShape = ThreadblockShape_;
  using WarpShape = WarpShape_;
  using InstructionShape = InstructionShape_;
  static int const kPartitionsK = PartitionsK;
  using Element = Element_;
  static int const kElementsPerAccess = ElementsPerAccess;

  //
  // Definitions
  //

  struct Detail {

    static int const kTensorOpRows = InstructionShape::kM;
    static int const kWarpSize = 32;

    static_assert(
      !(ThreadblockShape::kM % WarpShape::kM) &&
      !(ThreadblockShape::kM % WarpShape::kM), "Divisibility");

    using WarpCount = gemm::GemmShape<
      ThreadblockShape::kM / WarpShape::kM,
      ThreadblockShape::kN / WarpShape::kN,
      kPartitionsK
    >;

    static int const kThreads = WarpCount::kCount * kWarpSize;
  };

  //
  // ThreadMap
  //
  
  using Type = OutputTileOptimalThreadMap <
    OutputTileShape<ThreadblockShape::kN, Detail::kTensorOpRows, Detail::WarpCount::kM, 1, 1>,
    OutputTileShape<1, WarpShape::kM / Detail::kTensorOpRows, 1, 1, WarpShape::kM / Detail::kTensorOpRows>,
    Detail::kThreads,
    kElementsPerAccess,
    sizeof_bits<Element>::value
  >;
};


} // namespace threadblock
} // namespace epilogue
} // namespace cutlass