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/*! \file
    \brief 
    Default kernel-level 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/conv2d_fprop_activation_tile_access_iterator_analytic.h"
#include "cutlass/conv/threadblock/conv2d_fprop_activation_tile_access_iterator_optimized.h"
#include "cutlass/conv/threadblock/conv2d_fprop_activation_tile_access_iterator_fixed_channels.h"
#include "cutlass/conv/threadblock/conv2d_fprop_activation_tile_access_iterator_few_channels.h"

#include "cutlass/conv/threadblock/conv2d_fprop_filter_tile_access_iterator_analytic.h"
#include "cutlass/conv/threadblock/conv2d_fprop_filter_tile_access_iterator_optimized.h"
#include "cutlass/conv/threadblock/conv2d_fprop_filter_tile_access_iterator_fixed_channels.h"
#include "cutlass/conv/threadblock/conv2d_fprop_filter_tile_access_iterator_few_channels.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::kOptimized,
  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 = 128 / cutlass::sizeof_bits<ElementB>::value
> struct DefaultConv2dFprop;

/////////////////////////////////////////////////////////////////////////////////////////////////
//                         OpClassTensorOp convolutions 
/////////////////////////////////////////////////////////////////////////////////////////////////

/// Defines a kernel for Conv2dFprop specialization for Analytic IteratorAlgorithm and multistage 
/// pipeline.
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,
  int Stages,
  typename MathOperatorTag,
  conv::StrideSupport StrideSupport, 
  int AlignmentA,
  int AlignmentB
>
struct DefaultConv2dFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassTensorOp,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  Stages,
  MathOperatorTag,
  IteratorAlgorithm::kAnalytic,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::RowMajor,
      ElementB, layout::ColumnMajor, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp,
      Stages, MathOperatorTag>;

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

  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::Conv2dFpropFilterTileAccessIteratorAnalytic<
      cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
      ElementB, LayoutB,
      ThreadMapB,
      AccessTypeB
    >;
  
  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaTensorOp = typename MmaCore::MmaTensorOp;
  using MmaPolicy = typename MmaCore::MmaPolicy;

  static cutlass::arch::CacheOperation::Kind const CacheOpB =
      ((sizeof_bits<ElementB>::value * AlignmentB) == 128)
          ? cutlass::arch::CacheOperation::Global
          : cutlass::arch::CacheOperation::Always;

  // Define the Mma
  using Mma = threadblock::ImplicitGemmMultistage<
    ThreadblockShape,
    IteratorA,
    SmemIteratorA,
    arch::CacheOperation::Always,
    IteratorB,
    SmemIteratorB,
    CacheOpB,
    MmaPolicy,
    Stages 
  >;

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

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

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

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

/// Defines a kernel for Conv2dFprop specialization for Analytic IteratorAlgorithm and multistage
/// pipeline.
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,
  int Stages,
  typename MathOperatorTag,
  conv::StrideSupport StrideSupport,
  int AlignmentA,
  int AlignmentB
>
struct DefaultConv2dFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassTensorOp,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  Stages,
  MathOperatorTag,
  IteratorAlgorithm::kFixedChannels,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::RowMajor,
      ElementB, layout::ColumnMajor, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp,
      Stages, MathOperatorTag>;

  // Define iterators over tiles from the A operand
  using ThreadMapA = typename MmaCore::IteratorThreadMapA;
  using AccessTypeA = cutlass::AlignedArray<ElementA, AlignmentA>;
  using IteratorA =
    cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorFixedChannels<
      cutlass::MatrixShape<ThreadblockShape::kM, ThreadblockShape::kK>,
      ElementA, LayoutA,
      ThreadMapA,
      AccessTypeA
    >;

  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::Conv2dFpropFilterTileAccessIteratorFixedChannels<
      cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
      ElementB, LayoutB,
      ThreadMapB,
      AccessTypeB
    >;

  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaTensorOp = typename MmaCore::MmaTensorOp;
  using MmaPolicy = typename MmaCore::MmaPolicy;

  static cutlass::arch::CacheOperation::Kind const CacheOpB =
      ((sizeof_bits<ElementB>::value * AlignmentB) == 128)
          ? cutlass::arch::CacheOperation::Global
          : cutlass::arch::CacheOperation::Always;

  // Define the Mma
  using Mma = threadblock::ImplicitGemmMultistage<
    ThreadblockShape,
    IteratorA,
    SmemIteratorA,
    arch::CacheOperation::Always,
    IteratorB,
    SmemIteratorB,
    CacheOpB,
    MmaPolicy,
    Stages
  >;

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

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

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


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

/// Defines a kernel for Conv2dFprop specialization for Analytic IteratorAlgorithm and two stage
/// pipeline.
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 DefaultConv2dFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassTensorOp,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  2,
  MathOperatorTag,
  IteratorAlgorithm::kFixedChannels,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::RowMajor,
      ElementB, layout::ColumnMajor, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp,
      2, MathOperatorTag>;

  // Define iterators over tiles from the A operand
  using ThreadMapA = typename MmaCore::IteratorThreadMapA;
  using AccessTypeA = cutlass::AlignedArray<ElementA, AlignmentA>;
  using IteratorA =
    cutlass::conv::threadblock::TileIterator<
      cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorFixedChannels<
        cutlass::MatrixShape<ThreadblockShape::kM, ThreadblockShape::kK>,
        ElementA, LayoutA,
        ThreadMapA,
        AccessTypeA
      >
    >;

  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::Conv2dFpropFilterTileAccessIteratorFixedChannels<
        cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
        ElementB, LayoutB,
        ThreadMapB,
        AccessTypeB
      >
    >;

  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaTensorOp = typename MmaCore::MmaTensorOp;
  using MmaPolicy = typename MmaCore::MmaPolicy;

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

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

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

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

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

/// Defines a kernel for Conv2dFprop specialization for Analytic IteratorAlgorithm and multistage
/// pipeline.
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,
  int Stages,
  typename MathOperatorTag,
  conv::StrideSupport StrideSupport,
  int AlignmentA,
  int AlignmentB
>
struct DefaultConv2dFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassTensorOp,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  Stages,
  MathOperatorTag,
  IteratorAlgorithm::kFewChannels,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::RowMajor,
      ElementB, layout::ColumnMajor, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp,
      Stages, MathOperatorTag>;

  // Define iterators over tiles from the A operand
  using ThreadMapA = typename MmaCore::IteratorThreadMapA;
  using AccessTypeA = cutlass::AlignedArray<ElementA, AlignmentA>;
  using IteratorA =
    cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorFewChannels<
      cutlass::MatrixShape<ThreadblockShape::kM, ThreadblockShape::kK>,
      ElementA, LayoutA,
      ThreadMapA,
      AccessTypeA
    >;

  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::Conv2dFpropFilterTileAccessIteratorFewChannels<
      cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
      ElementB, LayoutB,
      ThreadMapB,
      AccessTypeB
    >;

  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaTensorOp = typename MmaCore::MmaTensorOp;
  using MmaPolicy = typename MmaCore::MmaPolicy;

  static cutlass::arch::CacheOperation::Kind const CacheOpB =
      ((sizeof_bits<ElementB>::value * AlignmentB) == 128)
          ? cutlass::arch::CacheOperation::Global
          : cutlass::arch::CacheOperation::Always;

  // Define the Mma
  using Mma = threadblock::ImplicitGemmMultistage<
    ThreadblockShape,
    IteratorA,
    SmemIteratorA,
    arch::CacheOperation::Always,
    IteratorB,
    SmemIteratorB,
    CacheOpB,
    MmaPolicy,
    Stages
  >;

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

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

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

/// Defines a kernel for Conv2dFprop specialization for Analytic IteratorAlgorithm and multistage
/// pipeline.
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 DefaultConv2dFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassTensorOp,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  2,
  MathOperatorTag,
  IteratorAlgorithm::kFewChannels,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::RowMajor,
      ElementB, layout::ColumnMajor, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp,
      2, MathOperatorTag>;

  // Define iterators over tiles from the A operand
  using ThreadMapA = typename MmaCore::IteratorThreadMapA;
  using AccessTypeA = cutlass::AlignedArray<ElementA, AlignmentA>;
  using IteratorA =
    cutlass::conv::threadblock::TileIterator<
      cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorFewChannels<
        cutlass::MatrixShape<ThreadblockShape::kM, ThreadblockShape::kK>,
        ElementA, LayoutA,
        ThreadMapA,
        AccessTypeA
      >
    >;

  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::Conv2dFpropFilterTileAccessIteratorFewChannels<
        cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
        ElementB, LayoutB,
        ThreadMapB,
        AccessTypeB
      >
    >;

  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaTensorOp = typename MmaCore::MmaTensorOp;
  using MmaPolicy = typename MmaCore::MmaPolicy;

  static cutlass::arch::CacheOperation::Kind const CacheOpB =
      ((sizeof_bits<ElementB>::value * AlignmentB) == 128)
          ? cutlass::arch::CacheOperation::Global
          : cutlass::arch::CacheOperation::Always;

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

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

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

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

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

/// Defines a kernel for Conv2dFprop specialization for Analytic IteratorAlgorithm and multistage 
/// pipeline with interleaved layout.
template <
  typename ElementA,
  typename ElementB,
  typename ElementC,
  typename LayoutC,
  typename ElementAccumulator,
  typename ArchTag,
  typename ThreadblockShape,
  typename WarpShape,
  typename InstructionShape,
  typename EpilogueOutputOp,
  typename ThreadblockSwizzle,
  int Stages,
  typename MathOperatorTag,
  conv::StrideSupport StrideSupport,
  int AlignmentA,
  int AlignmentB,
  int InterleavedK
>
struct DefaultConv2dFprop <
  ElementA,
  layout::TensorNCxHWx<InterleavedK>,
  ElementB,
  layout::TensorCxRSKx<InterleavedK>,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassTensorOp,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  Stages,
  MathOperatorTag,
  IteratorAlgorithm::kAnalytic,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::ColumnMajorInterleaved<InterleavedK>,
      ElementB, layout::RowMajorInterleaved<InterleavedK>, 
      ElementAccumulator, LayoutC, arch::OpClassTensorOp,
      Stages, MathOperatorTag, true>;

  // Define iterators over tiles from the A operand
  // Note GEMM shared memory threadmap is used here because conv global memory
  // layout needs to be mapped to fprop which is similar to the crosswise
  // layout which is used by the interleaved GEMM shared memory threadmap.
  // The Interleaved GEMM global memory layout is similar to the congruous
  // layout.
  using ThreadMapA = typename MmaCore::SmemThreadMapA;
  using IteratorA =
    cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorAnalytic<
      cutlass::MatrixShape<ThreadblockShape::kM, ThreadblockShape::kK>,
      ElementA, layout::TensorNCxHWx<InterleavedK>,
      ThreadMapA
    >;

  using SmemIteratorA = typename MmaCore::SmemIteratorA;

  // Define iterators over tiles from the B operand
  // Note GEMM shared memory threadmap is used here because conv global memory
  // layout needs to be mapped to fprop which is similar to the crosswise
  // layout which is used by the interleaved GEMM shared memory threadmap.
  // The Interleaved GEMM global memory layout is similar to the congruous
  // layout.
  using ThreadMapB = typename MmaCore::SmemThreadMapB;
  using IteratorB =
    cutlass::conv::threadblock::Conv2dFpropFilterTileAccessIteratorAnalytic<
      cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
      ElementB, layout::TensorCxRSKx<InterleavedK>,
      ThreadMapB
    >;
  
  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaTensorOp = typename MmaCore::MmaTensorOp;
  using MmaPolicy = typename MmaCore::MmaPolicy;

  // Define the Mma
  using Mma = threadblock::ImplicitGemmMultistage<
    ThreadblockShape,
    IteratorA,
    SmemIteratorA,
    arch::CacheOperation::Always,
    IteratorB,
    SmemIteratorB,
    arch::CacheOperation::Global,
    MmaPolicy,
    Stages 
  >;

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

  // Define the epilogue
  using Epilogue = typename epilogue::threadblock::DefaultInterleavedConvEpilogue<
    ThreadblockShape,
    WarpMmaTensorOp,
    kPartitionsK,
    EpilogueOutputOp,
    EpilogueOutputOp::kCount,
    InterleavedK
  >::Epilogue;

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

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

/// Defines a kernel for Conv2dFprop specialization for Analytic IteratorAlgorithm
/// and 2 stage pipeline.
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 DefaultConv2dFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassTensorOp,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  2,
  MathOperatorTag,
  IteratorAlgorithm::kAnalytic,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::RowMajor,
      ElementB, layout::ColumnMajor, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp,
      2, MathOperatorTag>;

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

  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
      >
    >;
  
  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaTensorOp = typename MmaCore::MmaTensorOp;
  using MmaPolicy = typename MmaCore::MmaPolicy;

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

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

  // Define the epilogue
  using Epilogue = typename detail::DefaultConvEpilogue<
    ArchTag,
    ThreadblockShape,
    WarpMmaTensorOp,
    kPartitionsK,
    EpilogueOutputOp
  >::Epilogue;

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

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

/// Defines a kernel for Conv2dFprop specialization for Analytic IteratorAlgorithm and 2 stage 
/// pipeline with interleaved layout.
template <
  typename ElementA,
  typename ElementB,
  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,
  int InterleavedK
>
struct DefaultConv2dFprop <
  ElementA,
  layout::TensorNCxHWx<InterleavedK>,
  ElementB,
  layout::TensorCxRSKx<InterleavedK>,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassTensorOp,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  2,
  MathOperatorTag,
  IteratorAlgorithm::kAnalytic,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::ColumnMajorInterleaved<InterleavedK>,
      ElementB, layout::RowMajorInterleaved<InterleavedK>, 
      ElementAccumulator, LayoutC, arch::OpClassTensorOp,
      2, MathOperatorTag, true>;

  // Define iterators over tiles from the A operand
  // Note GEMM shared memory threadmap is used here because conv global memory
  // layout needs to be mapped to fprop which is similar to the crosswise
  // layout which is used by the interleaved GEMM shared memory threadmap.
  // The Interleaved GEMM global memory layout is similar to the congruous
  // layout.
  using ThreadMapA = typename MmaCore::SmemThreadMapA;
  using IteratorA =
    cutlass::conv::threadblock::TileIterator<
      cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorAnalytic<
        cutlass::MatrixShape<ThreadblockShape::kM, ThreadblockShape::kK>,
        ElementA, layout::TensorNCxHWx<InterleavedK>,
        ThreadMapA
      >
    >;

  using SmemIteratorA = typename MmaCore::SmemIteratorA;

  // Define iterators over tiles from the B operand
  // Note GEMM shared memory threadmap is used here because conv global memory
  // layout needs to be mapped to fprop which is similar to the crosswise
  // layout which is used by the interleaved GEMM shared memory threadmap.
  // The Interleaved GEMM global memory layout is similar to the congruous
  // layout.
  using ThreadMapB = typename MmaCore::SmemThreadMapB;
  using IteratorB =
    cutlass::conv::threadblock::TileIterator<
      cutlass::conv::threadblock::Conv2dFpropFilterTileAccessIteratorAnalytic<
        cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
        ElementB, layout::TensorCxRSKx<InterleavedK>,
        ThreadMapB
      >
    >;
  
  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaTensorOp = typename MmaCore::MmaTensorOp;
  using MmaPolicy = typename MmaCore::MmaPolicy;

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

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

  // Define the epilogue
  using Epilogue = typename epilogue::threadblock::DefaultInterleavedConvEpilogue<
    ThreadblockShape,
    WarpMmaTensorOp,
    kPartitionsK,
    EpilogueOutputOp,
    EpilogueOutputOp::kCount,
    InterleavedK
  >::Epilogue;

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

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

/// Defines a kernel for Conv2dFprop specialization for Optimzed IteratorAlgorithm and 
/// multistage pipeline.
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,
  int Stages,
  typename MathOperatorTag,
  conv::StrideSupport StrideSupport,
  int AlignmentA,
  int AlignmentB
>
struct DefaultConv2dFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassTensorOp,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  Stages,
  MathOperatorTag,
  IteratorAlgorithm::kOptimized,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
    ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::RowMajor,
    ElementB, layout::ColumnMajor, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp,
    Stages, MathOperatorTag
  >;

  // Define iterators over tiles from the A operand
  using ThreadMapA = typename MmaCore::IteratorThreadMapA;
  using AccessTypeA = cutlass::AlignedArray<ElementA, AlignmentA>;
  using IteratorA =
    cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorOptimized<
      cutlass::MatrixShape<ThreadblockShape::kM, ThreadblockShape::kK>,
      ElementA,
      LayoutA,
      ThreadMapA,
      AccessTypeA
    >;

  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::Conv2dFpropFilterTileAccessIteratorOptimized<
      cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
      ElementB,
      LayoutB,
      ThreadMapB,
      AccessTypeB
    >;
  
  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaTensorOp = typename MmaCore::MmaTensorOp;
  using MmaPolicy = typename MmaCore::MmaPolicy;

  static cutlass::arch::CacheOperation::Kind const CacheOpB =
      ((sizeof_bits<ElementB>::value * AlignmentB) == 128)
          ? cutlass::arch::CacheOperation::Global
          : cutlass::arch::CacheOperation::Always;

  // Define the Mma
  using Mma = threadblock::ImplicitGemmMultistage<
    ThreadblockShape,
    IteratorA,
    SmemIteratorA,
    arch::CacheOperation::Always,
    IteratorB,
    SmemIteratorB,
    CacheOpB,
    MmaPolicy,
    Stages 
  >;

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

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

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

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

/// Defines a kernel for Conv2dFprop specialization for Optimzed IteratorAlgorithm and 
// multistage pipeline with interleaved layout.
template <
  typename ElementA,
  typename ElementB,
  typename ElementC,
  typename LayoutC,
  typename ElementAccumulator,
  typename ArchTag,
  typename ThreadblockShape,
  typename WarpShape,
  typename InstructionShape,
  typename EpilogueOutputOp,
  typename ThreadblockSwizzle,
  int Stages,
  typename MathOperatorTag,
  conv::StrideSupport StrideSupport,
  int AlignmentA,
  int AlignmentB,
  int InterleavedK
>
struct DefaultConv2dFprop <
  ElementA,
  layout::TensorNCxHWx<InterleavedK>,
  ElementB,
  layout::TensorCxRSKx<InterleavedK>,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassTensorOp,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  Stages,
  MathOperatorTag,
  IteratorAlgorithm::kOptimized,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
    ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::ColumnMajorInterleaved<InterleavedK>,
    ElementB, layout::RowMajorInterleaved<InterleavedK>, ElementAccumulator, LayoutC, arch::OpClassTensorOp,
    Stages, MathOperatorTag, true
  >;

  // Define iterators over tiles from the A operand
  using ThreadMapA = typename MmaCore::SmemThreadMapA;
  using IteratorA =
    cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorOptimized<
      cutlass::MatrixShape<ThreadblockShape::kM, ThreadblockShape::kK>,
      ElementA,
      layout::TensorNCxHWx<InterleavedK>,
      ThreadMapA
    >;

  using SmemIteratorA = typename MmaCore::SmemIteratorA;

  // Define iterators over tiles from the B operand 
  using ThreadMapB = typename MmaCore::SmemThreadMapB;
  using IteratorB =
    cutlass::conv::threadblock::Conv2dFpropFilterTileAccessIteratorOptimized<
      cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
      ElementB,
      layout::TensorCxRSKx<InterleavedK>,
      ThreadMapB
    >;
  
  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaTensorOp = typename MmaCore::MmaTensorOp;
  using MmaPolicy = typename MmaCore::MmaPolicy;

  // Define the Mma
  using Mma = threadblock::ImplicitGemmMultistage<
    ThreadblockShape,
    IteratorA,
    SmemIteratorA,
    arch::CacheOperation::Always,
    IteratorB,
    SmemIteratorB,
    arch::CacheOperation::Global,
    MmaPolicy,
    Stages 
  >;

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

  // Define the epilogue
  using Epilogue = typename epilogue::threadblock::DefaultInterleavedConvEpilogue<
    ThreadblockShape,
    WarpMmaTensorOp,
    kPartitionsK,
    EpilogueOutputOp,
    EpilogueOutputOp::kCount,
    InterleavedK
  >::Epilogue;

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

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

/// Defines a kernel for Conv2dFprop specialization for Optimized IteratorAlgorithm
/// and 2 stage pipeline.
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 DefaultConv2dFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassTensorOp,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  2,
  MathOperatorTag,
  IteratorAlgorithm::kOptimized,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::RowMajor,
      ElementB, layout::ColumnMajor, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp,
      2, MathOperatorTag>;

  // Define iterators over tiles from the A operand
  using ThreadMapA = typename MmaCore::IteratorThreadMapA;
  using AccessTypeA = cutlass::AlignedArray<ElementA, AlignmentA>;
  using IteratorA =
    cutlass::conv::threadblock::TileIterator<
      cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorOptimized<
        cutlass::MatrixShape<ThreadblockShape::kM, ThreadblockShape::kK>,
        ElementA,
        LayoutA,
        ThreadMapA,
        AccessTypeA 
      >
    >;

  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::Conv2dFpropFilterTileAccessIteratorOptimized<
        cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
        ElementB,
        LayoutB,
        ThreadMapB,
        AccessTypeB
      >
    >;
  
  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaTensorOp = typename MmaCore::MmaTensorOp;
  using MmaPolicy = typename MmaCore::MmaPolicy;

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

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

  // Define the epilogue
  using Epilogue = typename detail::DefaultConvEpilogue<
    ArchTag,
    ThreadblockShape,
    WarpMmaTensorOp,
    kPartitionsK,
    EpilogueOutputOp
  >::Epilogue;

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

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

/// Defines a kernel for Conv2dFprop specialization for Optimized IteratorAlgorithm and 2 stage 
/// pipeline with interleaved layout.
template <
  typename ElementA,
  typename ElementB,
  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,
  int InterleavedK
>
struct DefaultConv2dFprop <
  ElementA,
  layout::TensorNCxHWx<InterleavedK>,
  ElementB,
  layout::TensorCxRSKx<InterleavedK>,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassTensorOp,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  2,
  MathOperatorTag,
  IteratorAlgorithm::kOptimized,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::ColumnMajorInterleaved<InterleavedK>,
      ElementB, layout::RowMajorInterleaved<InterleavedK>, 
      ElementAccumulator, LayoutC, arch::OpClassTensorOp,
      2, MathOperatorTag, true>;

  // Define iterators over tiles from the A operand
  using ThreadMapA = typename MmaCore::SmemThreadMapA;
  using IteratorA =
    cutlass::conv::threadblock::TileIterator<
      cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorOptimized<
        cutlass::MatrixShape<ThreadblockShape::kM, ThreadblockShape::kK>,
        ElementA, layout::TensorNCxHWx<InterleavedK>,
        ThreadMapA
      >
    >;

  using SmemIteratorA = typename MmaCore::SmemIteratorA;

  // Define iterators over tiles from the B operand
  using ThreadMapB = typename MmaCore::SmemThreadMapB;
  using IteratorB =
    cutlass::conv::threadblock::TileIterator<
      cutlass::conv::threadblock::Conv2dFpropFilterTileAccessIteratorOptimized<
        cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
        ElementB, layout::TensorCxRSKx<InterleavedK>,
        ThreadMapB
      >
    >;
  
  using SmemIteratorB = typename MmaCore::SmemIteratorB;

  // Warp-level GEMM components
  using WarpMmaTensorOp = typename MmaCore::MmaTensorOp;
  using MmaPolicy = typename MmaCore::MmaPolicy;

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

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

  // Define the epilogue
  using Epilogue = typename epilogue::threadblock::DefaultInterleavedConvEpilogue<
    ThreadblockShape,
    WarpMmaTensorOp,
    kPartitionsK,
    EpilogueOutputOp,
    EpilogueOutputOp::kCount,
    InterleavedK
  >::Epilogue;

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

/////////////////////////////////////////////////////////////////////////////////////////////////
//                            OpClassSimt convolutions
/////////////////////////////////////////////////////////////////////////////////////////////////
/// Defines a kernel for Conv2dFprop specialization for Analytic IteratorAlgorithm, 
/// multi-stage pipeline, and FFMA-based mainloop for SM80

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,
  int Stages,
  typename MathOperatorTag,
  conv::StrideSupport StrideSupport,
  int AlignmentA,
  int AlignmentB
>
struct DefaultConv2dFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassSimt,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  Stages,
  MathOperatorTag,
  IteratorAlgorithm::kAnalytic,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::RowMajor,
      ElementB, layout::ColumnMajor, ElementAccumulator, layout::RowMajor, arch::OpClassSimt,
      Stages, MathOperatorTag>;

  // Define iterators over tiles from the A operand
  using ThreadMapA = typename MmaCore::IteratorThreadMapA;
  using IteratorA =
    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 IteratorB =
    cutlass::conv::threadblock::Conv2dFpropFilterTileAccessIteratorAnalytic<
      cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
      ElementB, LayoutB,
      ThreadMapB
    >;
  
  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::ImplicitGemmMultistage<
    ThreadblockShape,
    IteratorA,
    SmemIteratorA,
    arch::CacheOperation::Always,
    IteratorB,
    SmemIteratorB,
    arch::CacheOperation::Always,
    MmaPolicy,
    Stages 
  >;

  // 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
  >;

};

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

/// Defines a kernel for Conv2dFprop specialization for Optimized IteratorAlgorithm, 
/// multi-stage pipeline, and FFMA-based mainloop for SM80

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,
  int Stages,
  typename MathOperatorTag,
  conv::StrideSupport StrideSupport,
  int AlignmentA,
  int AlignmentB
>
struct DefaultConv2dFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassSimt,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  Stages,
  MathOperatorTag,
  IteratorAlgorithm::kOptimized,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::RowMajor,
      ElementB, layout::ColumnMajor, ElementAccumulator, layout::RowMajor, arch::OpClassSimt,
      Stages, MathOperatorTag>;

  // Define iterators over tiles from the A operand
  using ThreadMapA = typename MmaCore::IteratorThreadMapA;
  using IteratorA =
    cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorOptimized<
      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 IteratorB =
    cutlass::conv::threadblock::Conv2dFpropFilterTileAccessIteratorOptimized<
      cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
      ElementB,
      LayoutB,
      ThreadMapB
    >;
  
  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::ImplicitGemmMultistage<
    ThreadblockShape,
    IteratorA,
    SmemIteratorA,
    arch::CacheOperation::Always,
    IteratorB,
    SmemIteratorB,
    arch::CacheOperation::Always,
    MmaPolicy,
    Stages 
  >;

  // 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
  >;

};

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

/// Defines a kernel for Conv2dFprop 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 DefaultConv2dFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassSimt,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  2,
  MathOperatorTag,
  IteratorAlgorithm::kAnalytic,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

  // Define the core components from GEMM
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, layout::RowMajor,
      ElementB, layout::ColumnMajor, ElementAccumulator, layout::RowMajor, arch::OpClassSimt,
      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 IteratorB =
    cutlass::conv::threadblock::TileIterator<
      cutlass::conv::threadblock::Conv2dFpropFilterTileAccessIteratorAnalytic<
        cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
        ElementB, LayoutB,
        ThreadMapB
      >
    >;
  
  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::ImplicitGemmPipelined<
    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
  >;

};

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

/// Defines a kernel for Conv2dFprop specialization for Optimized 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 DefaultConv2dFprop <
  ElementA,
  LayoutA,
  ElementB,
  LayoutB,
  ElementC,
  LayoutC,
  ElementAccumulator,
  arch::OpClassSimt,
  ArchTag,
  ThreadblockShape,
  WarpShape,
  InstructionShape,
  EpilogueOutputOp,
  ThreadblockSwizzle,
  2,
  MathOperatorTag,
  IteratorAlgorithm::kOptimized,
  StrideSupport,
  AlignmentA,
  AlignmentB
> {

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

  // Define iterators over tiles from the A operand
  using ThreadMapA = typename MmaCore::IteratorThreadMapA;
  using IteratorA =
    cutlass::conv::threadblock::TileIterator<
      cutlass::conv::threadblock::Conv2dFpropActivationTileAccessIteratorOptimized<
        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 IteratorB =
    cutlass::conv::threadblock::TileIterator<
      cutlass::conv::threadblock::Conv2dFpropFilterTileAccessIteratorOptimized<
        cutlass::MatrixShape<ThreadblockShape::kK, ThreadblockShape::kN>,
        ElementB,
        LayoutB,
        ThreadMapB
      >
    >;
  
  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::ImplicitGemmPipelined<
    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
  >;

};

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

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

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