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/*! \file
  \brief Epilogue for threadblock scoped GEMMs using Tensor Ops.

  The epilogue rearranges the result of a matrix product through shared memory to match canonical
  tensor layouts in global memory. Epilogues support conversion and reduction operations.

*/

#pragma once

#include "cutlass/cutlass.h"
#include "cutlass/numeric_types.h"
#include "cutlass/array.h"

#include "cutlass/gemm/gemm.h"

#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/epilogue/thread/linear_combination_clamp.h"
#include "cutlass/epilogue/thread/conversion_op.h"
#include "cutlass/epilogue/thread/reduction_op.h"

#include "cutlass/transform/threadblock/regular_tile_iterator_pitch_linear.h"

#include "cutlass/epilogue/warp/fragment_iterator_tensor_op.h"
#include "cutlass/epilogue/warp/fragment_iterator_complex_tensor_op.h"
#include "cutlass/epilogue/warp/tile_iterator_tensor_op.h"
#include "cutlass/epilogue/warp/tile_iterator_tensor_op_mixed.h"
#include "cutlass/epilogue/threadblock/default_thread_map_tensor_op.h"
#include "cutlass/epilogue/threadblock/predicated_tile_iterator.h"
#include "cutlass/epilogue/threadblock/shared_load_iterator.h"
#include "cutlass/epilogue/threadblock/shared_load_iterator_mixed.h"

// #include "cutlass/epilogue/threadblock/epilogue.h"
#include "cutlass/epilogue/threadblock/interleaved_epilogue.h"

#include "fused_bias_act_epilogue.h"
#include "../warp/fused_bias_act_fragment_iterator_tensor_op.h"
#include "output_tile_thread_map_for_fused_bias.h"
#include "default_thread_map_tensor_op_for_fused_bias.h"

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

namespace cutlass {
namespace epilogue {
namespace threadblock {

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


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

/// Defines sensible defaults for epilogues for TensorOps.
template <
  typename Shape_,
  typename WarpMmaTensorOp_,
  int PartitionsK,
  typename OutputOp_,
  int ElementsPerAccess
>
struct DefaultFusedBiasActEpilogueTensorOp {

  using Shape = Shape_;
  using WarpMmaTensorOp = WarpMmaTensorOp_;
  static int const kPartitionsK = PartitionsK;
  using OutputOp = OutputOp_;
  static int const kElementsPerAccess = ElementsPerAccess;
  using ElementOutput = typename OutputOp::ElementOutput;
  using LayoutC = typename WarpMmaTensorOp::LayoutC;
  using ElementAccumulator = typename WarpMmaTensorOp::ElementC;

  //
  // Thread map
  //

  using OutputTileThreadMap = typename cutlass::epilogue::threadblock::DefaultThreadMapTensorOpForFusedBias<
    Shape,
    typename WarpMmaTensorOp::Shape,
    kPartitionsK,
    ElementOutput,
    kElementsPerAccess
  >::Type;

  using OutputTileIterator = cutlass::epilogue::threadblock::PredicatedTileIterator<
    OutputTileThreadMap,
    ElementOutput
  >;

  using AccumulatorFragmentIterator = typename std::conditional<is_complex<ElementOutput>::value,
                                    cutlass::epilogue::warp::FragmentIteratorComplexTensorOp<
                                        typename WarpMmaTensorOp::Shape,
                                        typename WarpMmaTensorOp::Policy::Operator::Shape,
                                        typename WarpMmaTensorOp::Policy::Operator::ElementC,
                                        typename WarpMmaTensorOp::Policy::Operator::FragmentC,
                                        LayoutC>,
                                    cutlass::epilogue::warp::FusedBiasActFragmentIteratorTensorOp<
                                        typename WarpMmaTensorOp::Shape,
                                        typename WarpMmaTensorOp::Policy::Operator::Shape,
                                        typename WarpMmaTensorOp::Policy::Operator::ElementC,
                                        typename WarpMmaTensorOp::Policy::Operator::FragmentC,
                                        LayoutC> >::type;

  //
  // Define the epilogue
  //
  using Epilogue = cutlass::epilogue::threadblock::FusedBiasActEpilogue<
    Shape,
    WarpMmaTensorOp,
    kPartitionsK,
    OutputTileIterator,
    AccumulatorFragmentIterator,
    OutputOp
  >;
};

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

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

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

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