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

#pragma once

#include "cutlass/cutlass.h"
#include "cutlass/conv/kernel/default_conv2d.h"

#include "cutlass/conv/threadblock/depthwise_mma_core_with_lane_access_size.h"

#include "cutlass/conv/threadblock/conv2d_fprop_activation_tile_access_iterator_analytic.h"

#include "cutlass/conv/threadblock/conv2d_fprop_filter_tile_access_iterator_analytic.h"
#include "cutlass/conv/threadblock/depthwise_fprop_pipelined.h"

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

namespace cutlass {
namespace conv {
namespace kernel {

/////////////////////////////////////////////////////////////////////////////////////////////////
/// Defines a kernel for Conv2dFprop
template <
  typename ElementA,
  typename LayoutA,
  typename ElementB,
  typename LayoutB,
  typename ElementC,
  typename LayoutC,
  typename ElementAccumulator,
  typename OperatorClass,
  typename ArchTag,
  typename ThreadblockShape,
  typename WarpShape,
  typename InstructionShape,
  typename EpilogueOutputOp,
  typename ThreadblockSwizzle,
  int Stages,
  typename MathOperatorTag,
  conv::IteratorAlgorithm IteratorAlgorithm = IteratorAlgorithm::kAnalytic,
  conv::StrideSupport StrideSupport = StrideSupport::kStrided,
  /// Access granularity of A matrix in units of elements
  int AlignmentA = 128 / cutlass::sizeof_bits<ElementA>::value,
  /// Access granularity of B matrix in units of elements
  int AlignmentB = cutlass::sizeof_bits<ElementB>::value / cutlass::sizeof_bits<ElementB>::value
> struct DefaultDepthwiseFprop;

/////////////////////////////////////////////////////////////////////////////////////////////////
//                            OpClassSimt convolutions
/////////////////////////////////////////////////////////////////////////////////////////////////

/// Defines a kernel for Depthwise specialization for Analytic IteratorAlgorithm, 
/// 2 stage pipeline, and FFMA-based mainloop for SM50
template <
  typename ElementA,
  typename LayoutA,
  typename ElementB,
  typename LayoutB,
  typename ElementC,
  typename LayoutC,
  typename ElementAccumulator,
  typename ArchTag,
  typename ThreadblockShape,
  typename WarpShape,
  typename InstructionShape,
  typename EpilogueOutputOp,
  typename ThreadblockSwizzle,
  typename MathOperatorTag,
  conv::StrideSupport StrideSupport,
  int AlignmentA,
  int AlignmentB
>
struct DefaultDepthwiseFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassSimt,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  2,
  MathOperatorTag, //   cutlass::arch::OpMultiplyAdd
  IteratorAlgorithm::kAnalytic,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::conv::threadblock::DepthwiseMmaCoreWithLaneAccessSize<
      ThreadblockShape,
      WarpShape,
      InstructionShape,
      ElementA,
      layout::RowMajor,
      ElementB,
      layout::ColumnMajor,
      ElementAccumulator,
      layout::RowMajor,
      arch::OpClassSimt,
      128,
      sizeof_bits<ElementB>::value,
      2,
      MathOperatorTag>;

  // Define iterators over tiles from the A operand
  using ThreadMapA = typename MmaCore::IteratorThreadMapA;
  using IteratorA =
    cutlass::conv::threadblock::TileIterator<
      cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorAnalytic<
        cutlass::MatrixShape<ThreadblockShape::kM, ThreadblockShape::kK>,
        ElementA, LayoutA,
        ThreadMapA
      >
    >;

  using SmemIteratorA = typename MmaCore::SmemIteratorA;

  // Define iterators over tiles from the B operand
  using ThreadMapB = typename MmaCore::IteratorThreadMapB;
  using AccessTypeB = cutlass::AlignedArray<ElementB, AlignmentB>;
  using IteratorB =
    cutlass::conv::threadblock::TileIterator<
      cutlass::conv::threadblock::Conv2dFpropFilterTileAccessIteratorAnalytic<
        cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
        ElementB, LayoutB,
        ThreadMapB,
        AccessTypeB,
        cutlass::conv::GroupMode::kDepthwise
      >
    >;
  
  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaSimtOp = typename MmaCore::MmaWarpSimt;
  using MmaPolicy = typename MmaCore::MmaPolicy;

  // Define the Mma
  using Mma = threadblock::DepthwiseFpropPipelined<
    ThreadblockShape,
    IteratorA,
    SmemIteratorA,
    IteratorB,
    SmemIteratorB,
    ElementC,
    LayoutC,
    MmaPolicy
  >;

  // Define the epilogue
  using Epilogue = typename epilogue::threadblock::DefaultEpilogueSimt<
    ThreadblockShape,
    WarpMmaSimtOp,
    EpilogueOutputOp,
    EpilogueOutputOp::kCount
  >::Epilogue;

  // Define the kernel
  using Kernel = cutlass::conv::kernel::ImplicitGemmConvolution<
    Mma,
    Epilogue,
    ThreadblockSwizzle,
    conv::Operator::kFprop,
    Conv2dProblemSize,
    cutlass::conv::GroupMode::kDepthwise
  >;
};

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

} // namespace kernel
} // namespace conv
} // namespace cutlass

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