dispatch_policy.hpp

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#pragma once

#include "cutlass/arch/arch.h"
#include "cutlass/gemm/gemm.h"

#include "cute/layout.hpp"
#include "cute/numeric/integral_constant.hpp" // cute::false_type
#include "cute/arch/copy_sm100.hpp"
//////////////////////////////////////////////////////////////////////////////

namespace cutlass::detail {

template <class T, template <int...> class U>
struct is_kernel_tag_of : cute::false_type {};

template <template <int...> class U, int... Args>
struct is_kernel_tag_of<U<Args...>, U> : cute::true_type {};

template <class T, template <int...> class U>
constexpr bool is_kernel_tag_of_v = is_kernel_tag_of<T, U>::value;

template <class T, template <int,bool> class U>
struct is_asymmetric_dma_kernel_tag_of : cute::false_type {};

template <template <int, bool> class U, int I0, bool B0>
struct is_asymmetric_dma_kernel_tag_of<U<I0, B0>, U> : cute::true_type {};

template <class T, template <int, bool> class U>
constexpr bool is_asymmetric_dma_kernel_tag_of_v = \
                              is_asymmetric_dma_kernel_tag_of<T, U>::value;

}

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

namespace cutlass::gemm {
using namespace cute;

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

namespace detail {

enum class KernelInputTransformType {
    FastF32,
    InterleavedComplexTF32
};

} // namespace detail

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

namespace kernel::detail {

// Has_SwapAB<T>::value will be true only if:
//   class T has member SwapAB and T::SwapAB is true
template <typename T, typename = void>
struct Has_SwapAB { static constexpr bool value = false; };

template <typename T>
struct Has_SwapAB <T, CUTE_STL_NAMESPACE::void_t<decltype(T::SwapAB)>>
{ static constexpr bool value = T::SwapAB; };

template <typename T>
static constexpr bool Has_SwapAB_v = Has_SwapAB<T>::value;

} // namespace kernel::detail

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

//
// Kernel schedule policies (the base class tags, one for each kernel layer file)
//
struct KernelMultistage { };
struct KernelCpAsyncWarpSpecialized { };
struct KernelCpAsyncWarpSpecializedPingpong { };
struct KernelCpAsyncWarpSpecializedCooperative { };
struct KernelTma { };
struct KernelTmaWarpSpecialized { };
struct KernelTmaWarpSpecializedPingpong { 
  static constexpr int SchedulerPipelineStageCount = 0;
};
struct KernelTmaWarpSpecializedCooperative { 
  static constexpr int SchedulerPipelineStageCount = 0;
};

struct KernelPtrArrayTmaWarpSpecializedCooperative { };
struct KernelPtrArrayTmaWarpSpecializedPingpong { };

// FP8 related policies (including Blocked Scaled Accumulation)
template<
  // `ScaleGranularityM`/`ScaleGranularityN` specifies scaling granularity along M/N, while zero-value
  // `ScaleGranularityM`/`ScaleGranularityN` indicates that scaling granularity is
  // `size<0>(TileShape_MNK{})`/`size<1>(TileShape_MNK{})` along M/N.
  int ScaleGranularityM_ = 0,
  int ScaleGranularityN_ = 0,
  // `ScalePromotionInterval` specifies the interval to promote the accumulator for scaling
  // It is required to be a multiple of 4 and specified in terms of number of MMA instructions
  // in the reduction dimension. i.e for FP8 kernels, it is 
  // ScalePromotionInterval * MMA_K = ScalePromotionInterval * 32 = 128 elements in K by default
  int ScalePromotionInterval_ = 4

>
struct KernelTmaWarpSpecializedCooperativeFP8BlockScaledAccum: KernelTmaWarpSpecializedCooperative {
  constexpr static int ScaleGranularityM = ScaleGranularityM_;
  constexpr static int ScaleGranularityN = ScaleGranularityN_;
  constexpr static int ScalePromotionInterval = ScalePromotionInterval_;
};

template<
  // `ScaleGranularityM`/`ScaleGranularityN` specifies scaling granularity along M/N, while zero-value
  // `ScaleGranularityM`/`ScaleGranularityN` indicates that scaling granularity is
  // `size<0>(TileShape_MNK{})`/`size<1>(TileShape_MNK{})` along M/N.
  int ScaleGranularityM_,
  int ScaleGranularityN_,
  // `ScalePromotionInterval` specifies the interval to promote the accumulator for scaling
  // It is required to be a multiple of 4 and specified in terms of number of MMA instructions
  // in the reduction dimension. i.e for FP8 kernels, it is 
  // ScalePromotionInterval * MMA_K = ScalePromotionInterval * 32 = 128 elements in K by default
  int ScalePromotionInterval_ = 4
>
struct KernelPtrArrayTmaWarpSpecializedCooperativeFP8BlockScaledAccum: KernelPtrArrayTmaWarpSpecializedCooperative {
  constexpr static int ScaleGranularityM = ScaleGranularityM_;
  constexpr static int ScaleGranularityN = ScaleGranularityN_;
  constexpr static int ScalePromotionInterval = ScalePromotionInterval_;
};

// Policies to opt into mixed type GEMMs
struct KernelTmaWarpSpecializedMixedInput : KernelTmaWarpSpecialized { };
struct KernelTmaWarpSpecializedPingpongMixedInput : KernelTmaWarpSpecializedPingpong { };
struct KernelTmaWarpSpecializedCooperativeMixedInput: KernelTmaWarpSpecializedCooperative { };

struct KernelPVC { };
struct KernelPVCCooperative { };
struct KernelPVCPtrArrayCooperative { };
//////////////////////////////////////////////////////////////////////////////

//
// Builder dispatch policies (not a part of the main CUTLASS layers, simply used to opt into
// specific collective builder dispatches)
//

// FP8 related policies (including Fast Accumulation)
struct KernelTmaWarpSpecializedFP8FastAccum : KernelTmaWarpSpecialized { };
struct KernelTmaWarpSpecializedPingpongFP8FastAccum : KernelTmaWarpSpecializedPingpong { };
struct KernelTmaWarpSpecializedCooperativeFP8FastAccum: KernelTmaWarpSpecializedCooperative { };
struct KernelPtrArrayTmaWarpSpecializedCooperativeFP8FastAccum : KernelPtrArrayTmaWarpSpecializedCooperative { };
struct KernelPtrArrayTmaWarpSpecializedPingpongFP8FastAccum : KernelPtrArrayTmaWarpSpecializedPingpong { };

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

// Policies for dispatch of epilogue
struct EpilogueDefault { };
struct EpilogueTransposed { };

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

//
// Collective Mainloop Policies
//

// 2 stage pipeline through 1 stage in smem, 1 in rmem, WITHOUT predicated gmem loads
struct MainloopSm70TwoStageUnpredicated {
  constexpr static int Stages = 2;
  using ArchTag = arch::Sm70;
  using Schedule = KernelMultistage;
  using ClusterShape = Shape<_1,_1,_1>;
};

// 2 stage pipeline through 1 stage in smem, 1 in rmem, with predicated gmem loads
struct MainloopSm70TwoStage {
  constexpr static int Stages = 2;
  using ArchTag = arch::Sm70;
  using Schedule = KernelMultistage;
  using ClusterShape = Shape<_1,_1,_1>;
};

// n-buffer in smem (cp.async), pipelined with registers, WITHOUT predicated gmem loads
template<int Stages_>
struct MainloopSm80CpAsyncUnpredicated {
  constexpr static int Stages = Stages_;
  using ArchTag = arch::Sm80;
  using Schedule = KernelMultistage;
  using ClusterShape = Shape<_1,_1,_1>;
};

// n-buffer in smem (cp.async), pipelined with registers, with predicated gmem loads
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>
>
struct MainloopSm80CpAsync {
  constexpr static int Stages = Stages_;
  using ArchTag = cute::conditional_t<(size(ClusterShape_{}) > 1), arch::Sm90, arch::Sm80>;
  using Schedule = KernelMultistage;
  using ClusterShape = ClusterShape_;
};

// n-buffer in smem (cp.async), pipelined with Hopper GMMA, with predicated gmem loads, warp specialized dynamic schedule
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  class KernelSchedule = KernelCpAsyncWarpSpecialized
>
struct MainloopSm90CpAsyncGmmaWarpSpecialized {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm90;
  using Schedule = KernelSchedule;
};

// n-buffer in smem (cp.async), pipelined with Hopper GMMA, with predicated gmem loads, warp specialized dynamic schedule
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  class KernelSchedule = KernelCpAsyncWarpSpecialized
>
struct MainloopSm90CpAsyncGmmaRmemAWarpSpecialized {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm90;
  using Schedule = KernelSchedule;
};

// n-buffer in smem (Hopper TMA), pipelined with Hopper GMMA and TMA, static schedule between TMA and GMMA
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  int PipelineAsyncMmaStages_ = 1
>
struct MainloopSm90TmaGmma {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  constexpr static int PipelineAsyncMmaStages = PipelineAsyncMmaStages_;
  using ArchTag = arch::Sm90;
  using Schedule = KernelTma;
};

// n-buffer in smem (Hopper TMA), pipelined with Hopper GMMA and TMA, Warp specialized dynamic schedule
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  class KernelSchedule = KernelTmaWarpSpecializedCooperative
>
struct MainloopSm90TmaGmmaWarpSpecialized {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm90;
  using Schedule = KernelSchedule;
};

// n-buffer in smem (Hopper TMA), pipelined with Hopper GMMA and TMA, Warp specialized dynamic schedule
// With GMMA's A data from registers.
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  class KernelSchedule = KernelTmaWarpSpecialized
>
struct MainloopSm90TmaGmmaRmemAWarpSpecialized {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm90;
  using Schedule = KernelSchedule;
  static_assert(
    cute::is_same_v<Schedule, KernelTmaWarpSpecialized> ||
    cute::is_same_v<Schedule, KernelTmaWarpSpecializedPingpong> ||
    cute::is_same_v<Schedule, KernelTmaWarpSpecializedCooperative>,
    "KernelSchedule must be one of the warp specialized policies");
};


template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  class KernelSchedule = KernelTmaWarpSpecialized
>
struct MainloopSm90TmaGmmaRmemAWarpSpecializedMixedInput {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm90;
  using Schedule = KernelSchedule;
  static_assert(
    cute::is_same_v<Schedule, KernelTmaWarpSpecialized> ||
    cute::is_same_v<Schedule, KernelTmaWarpSpecializedPingpong> ||
    cute::is_same_v<Schedule, KernelTmaWarpSpecializedCooperative>,
    "KernelSchedule must be one of the warp specialized policies");
};

// n-buffer in smem (Hopper TMA), pipelined with Hopper GMMA and TMA, Warp specialized dynamic schedule
// For FP8 kernels
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  class KernelSchedule = KernelTmaWarpSpecialized
>
struct MainloopSm90TmaGmmaWarpSpecializedFP8
  : MainloopSm90TmaGmmaWarpSpecialized<Stages_, ClusterShape_, KernelSchedule> {
  static_assert(
    cute::is_same_v<KernelSchedule, KernelTmaWarpSpecialized> ||
    cute::is_same_v<KernelSchedule, KernelTmaWarpSpecializedPingpong> ||
    cute::is_same_v<KernelSchedule, KernelTmaWarpSpecializedCooperative>,
    "KernelSchedule must be one of the warp specialized policies");
};


// n-buffer in smem (Hopper TMA), pipelined with Hopper GMMA and TMA, Warp specialized dynamic schedule
// For FP8 kernels with Block Scaling
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  class KernelSchedule = KernelTmaWarpSpecialized,
  // `ScaleGranularityM`/`ScaleGranularityN` specifies scaling granularity along M/N, while zero-value
  // `ScaleGranularityM`/`ScaleGranularityN` indicates that scaling granularity is
  // `size<0>(TileShape_MNK{})`/`size<1>(TileShape_MNK{})` along M/N.
  int ScaleGranularityM = 0,
  int ScaleGranularityN = 0,
  // `ScalePromotionInterval` specifies the interval to promote the accumulator for scaling
  // It is required to be a multiple of 4 and specified in terms of number of MMA instructions
  // in the reduction dimension. i.e for FP8 kernels, it is 
  // ScalePromotionInterval * MMA_K = ScalePromotionInterval * 32 = 128 elements in K by default
  int ScalePromotionInterval = 4
>
struct MainloopSm90TmaGmmaWarpSpecializedBlockScalingFP8
  : MainloopSm90TmaGmmaWarpSpecialized<Stages_, ClusterShape_, KernelSchedule> {
  static_assert(
    cute::is_same_v<KernelSchedule, KernelTmaWarpSpecializedCooperativeFP8BlockScaledAccum<ScaleGranularityM, ScaleGranularityN, ScalePromotionInterval>>,
    "KernelSchedule must be one of the warp specialized policies");
};

// n-buffer in smem (Hopper TMA), pipelined with Hopper GMMA and TMA, Warp specialized dynamic schedule for Ptr-Array and Grouped Gemm
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  class KernelSchedule = KernelPtrArrayTmaWarpSpecializedCooperative
>
struct MainloopSm90ArrayTmaGmmaWarpSpecialized {
  constexpr static int Stages = Stages_;
  constexpr static int PipelineAsyncMmaStages = 1;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm90;
  using Schedule = KernelSchedule;
  static_assert(
    cute::is_base_of_v<KernelPtrArrayTmaWarpSpecializedCooperative, KernelSchedule> ||
    cute::is_base_of_v<KernelPtrArrayTmaWarpSpecializedPingpong, KernelSchedule>,
    "KernelSchedule must be one of the Ptr-Array or Grouped Gemm TMA Warp Specialized Cooperative or Pingpong policies");
};

// n-buffer in smem (Hopper TMA), pipelined with Hopper GMMA and TMA, Warp specialized dynamic schedule for Ptr-Array and Grouped Gemm
// For FP8 kernels
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  class KernelSchedule = KernelPtrArrayTmaWarpSpecializedCooperative
>
struct MainloopSm90ArrayTmaGmmaWarpSpecializedFP8
  : MainloopSm90ArrayTmaGmmaWarpSpecialized<Stages_, ClusterShape_, KernelSchedule> {
  static_assert(
    cute::is_base_of_v<KernelPtrArrayTmaWarpSpecializedCooperative, KernelSchedule> ||
    cute::is_base_of_v<KernelPtrArrayTmaWarpSpecializedPingpong, KernelSchedule>,
    "KernelSchedule must be one of the Ptr-Array or Grouped Gemm TMA Warp Specialized Cooperative or Pingpong policies");
};

// n-buffer in smem (Hopper TMA), pipelined with Hopper sparse GMMA and TMA, Warp specialized dynamic schedule
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  class KernelSchedule = KernelTmaWarpSpecializedCooperative
>
struct MainloopSm90TmaGmmaWarpSpecializedSparse {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm90;
  using Schedule = KernelSchedule;
};

// For slow-accumulation sparse FP8 kernels
template<
  int Stages,
  class ClusterShape = Shape<_1,_1,_1>,
  class KernelSchedule = KernelTmaWarpSpecializedCooperative
>
struct MainloopSm90TmaGmmaWarpSpecializedSparseFP8 
  : MainloopSm90TmaGmmaWarpSpecializedSparse<Stages, ClusterShape, KernelSchedule> {
};

// Mixed precision version n-buffer in rmem (Hopper TMA), pipelined with Hopper GMMA and TMA, Warp specialized dynamic schedule for Ptr-Array and Grouped Gemm
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  class KernelSchedule = KernelPtrArrayTmaWarpSpecializedCooperative
>
struct MainloopSm90ArrayTmaGmmaWarpSpecializedMixedInput {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm90;
  using Schedule = KernelSchedule;
  static_assert(
    cute::is_same_v<Schedule, KernelPtrArrayTmaWarpSpecializedCooperative> ||
    cute::is_same_v<Schedule, KernelPtrArrayTmaWarpSpecializedPingpong>,
    "KernelSchedule must be one of the Ptr-Array or Grouped Gemm TMA Warp Specialized Cooperative policies");
};

// n-buffer in smem (Hopper TMA), pipelined with Hopper GMMA and TMA, Warp specialized dynamic schedule
// For FP8 kernels with Block Scaling
template<
  int Stages_,
  class ClusterShape_ = Shape<_1,_1,_1>,
  class KernelSchedule = KernelPtrArrayTmaWarpSpecializedCooperative,
  // `ScaleGranularityM`/`ScaleGranularityN` specifies scaling granularity along M/N, while zero-value
  // `ScaleGranularityM`/`ScaleGranularityN` indicates that scaling granularity is
  // `size<0>(TileShape_MNK{})`/`size<1>(TileShape_MNK{})` along M/N.
  int ScaleGranularityM = 0,
  int ScaleGranularityN = 0,
  int ScalePromotionInterval = 4
>
struct MainloopSm90ArrayTmaGmmaWarpSpecializedBlockScaling
  : MainloopSm90ArrayTmaGmmaWarpSpecialized<Stages_, ClusterShape_, KernelSchedule> {
  static_assert(
    cute::is_same_v<KernelSchedule, KernelPtrArrayTmaWarpSpecializedCooperativeFP8BlockScaledAccum<ScaleGranularityM, ScaleGranularityN>>,
    "KernelSchedule must be one of the warp specialized policies");
};


template<
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_
>
struct KernelTmaWarpSpecializedSm100 final {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
  static constexpr int AccumulatorPipelineStageCount = AccumulatorPipelineStageCount_;
};

// Gemm with block scaling factors
template<
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_
>
struct KernelTmaWarpSpecializedBlockScaledSm100 final {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
  static constexpr int AccumulatorPipelineStageCount = AccumulatorPipelineStageCount_;
};

template<
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_
>
struct KernelTmaWarpSpecializedMmaTransformSm100 final {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
  static constexpr int AccumulatorPipelineStageCount = AccumulatorPipelineStageCount_;
};

// Sparse Gemm
template<
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_
>
struct KernelSparseTmaWarpSpecializedSm100 final {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
  static constexpr int AccumulatorPipelineStageCount = AccumulatorPipelineStageCount_;
};

// Sparse Gemm with block scaling factors
template<
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_
>
struct KernelSparseTmaWarpSpecializedBlockScaledSm100 final {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
  static constexpr int AccumulatorPipelineStageCount = AccumulatorPipelineStageCount_;
};

// InputTransform GEMM
template<
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_
>
struct KernelTmaWarpSpecializedInputTransformSm100 final {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
  static constexpr int AccumulatorPipelineStageCount = AccumulatorPipelineStageCount_;
};

// Ptr-Array Dense GEMM: SM100 tensor op policy that applies to both 1SM and 2SM MMA atoms
template<
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_
>
struct KernelPtrArrayTmaWarpSpecializedSm100 final {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
  static constexpr int AccumulatorPipelineStageCount = AccumulatorPipelineStageCount_;
};

// Ptr-Array Block Scaled GEMM
template<
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_
>
struct KernelPtrArrayTmaWarpSpecializedBlockScaledSm100 final {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
  static constexpr int AccumulatorPipelineStageCount = AccumulatorPipelineStageCount_;
};

// Ptr-Array InputTransform GEMM
template<
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_
>
struct KernelPtrArrayTmaWarpSpecializedInputTransformSm100 final {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
  static constexpr int AccumulatorPipelineStageCount = AccumulatorPipelineStageCount_;
};


// SM120 kernel schedules
template< int SchedulerPipelineStageCount_>
struct KernelTmaWarpSpecializedCooperativeSm120 : KernelTmaWarpSpecializedCooperative {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
};

template< int SchedulerPipelineStageCount_>
struct KernelTmaWarpSpecializedPingpongSm120 : KernelTmaWarpSpecializedPingpong {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
};


template< int SchedulerPipelineStageCount_>
struct KernelTmaWarpSpecializedCooperativeBlockScaledSm120 : KernelTmaWarpSpecializedCooperative {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
};

template< int SchedulerPipelineStageCount_>
struct KernelTmaWarpSpecializedPingpongBlockScaledSm120 : KernelTmaWarpSpecializedPingpong {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
};

template< int SchedulerPipelineStageCount_, bool isAsymmetric_>
struct KernelTmaWarpSpecializedCooperativeSparseSm120 {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
  static constexpr bool isAsymmetric = isAsymmetric_;
};

template< int SchedulerPipelineStageCount_, bool isAsymmetric_>
struct KernelTmaWarpSpecializedCooperativeSparseBlockScaledSm120 {
  static constexpr int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
  static constexpr bool isAsymmetric = isAsymmetric_;
};
//////////////////////////////////////////////////////////////////////////////

//
// Collective Builder Tag Property
//

///////////////////////////////////////////////////////////////////////////////////////////////////////
//
//          SM100 Dispatch Policies
//
///////////////////////////////////////////////////////////////////////////////////////////////////////

// Builder Tag Base Dispatch Policies
struct KernelSchedule1Sm {};
struct KernelSchedule2Sm {};
struct KernelScheduleSm100 {};

///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM100 Dense GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
struct KernelScheduleSm100DenseGemm : KernelScheduleSm100 {};   // Base policy
// Dense GEMM: Specialize for 1SM vs 2SM
struct KernelTmaWarpSpecialized1SmSm100 final : KernelSchedule1Sm, KernelScheduleSm100DenseGemm {};  // Use for 1SM Dense GEMM Kernels for Collective Mainloop Builder
struct KernelTmaWarpSpecialized2SmSm100 final : KernelSchedule2Sm, KernelScheduleSm100DenseGemm {};  // Use for 2SM Dense GEMM Kernels for Collective Mainloop Builder
///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM100 Ptr-Array Dense GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
// Dense GEMM + (Ptr Array or Group GEMM)
struct KernelScheduleSm100PtrArrayDenseGemm : KernelScheduleSm100DenseGemm {};
// Ptr-Array Dense GEMM: Specialize for 1SM vs 2SM
struct KernelPtrArrayTmaWarpSpecialized1SmSm100 final : KernelSchedule1Sm, KernelScheduleSm100PtrArrayDenseGemm {};
struct KernelPtrArrayTmaWarpSpecialized2SmSm100 final : KernelSchedule2Sm, KernelScheduleSm100PtrArrayDenseGemm {};


///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM100 Blockwise GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
struct KernelScheduleSm100Blockwise  : KernelScheduleSm100 {};
struct KernelTmaWarpSpecializedBlockwise1SmSm100 final : KernelSchedule1Sm, KernelScheduleSm100Blockwise {};

///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM100 Planar Complex GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
struct KernelScheduleSm100PlanarComplexGemm : KernelScheduleSm100{};
// Planar Complex GEMM: Specialize for 1SM vs 2SM
struct KernelTmaWarpSpecialized1SmPlanarComplexSm100 final : KernelSchedule1Sm, KernelScheduleSm100PlanarComplexGemm { };
struct KernelTmaWarpSpecialized2SmPlanarComplexSm100 final : KernelSchedule2Sm, KernelScheduleSm100PlanarComplexGemm { };

///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM100 Ptr-Array Planar Complex GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
// Planar Complex GEMM + (Ptr Array or Group GEMM)
struct KernelScheduleSm100PtrArrayPlanarComplexGemm : KernelScheduleSm100PlanarComplexGemm {};

struct KernelPtrArrayTmaWarpSpecialized1SmPlanarComplexSm100 final : KernelSchedule1Sm, KernelScheduleSm100PtrArrayPlanarComplexGemm {};
struct KernelPtrArrayTmaWarpSpecialized2SmPlanarComplexSm100 final : KernelSchedule2Sm, KernelScheduleSm100PtrArrayPlanarComplexGemm {};

///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM100 FastF32 (9xBF16) GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
struct KernelScheduleSm100FastFP32Gemm           : KernelScheduleSm100 {};
struct KernelTmaWarpSpecializedFastFP32SmemSm100 : KernelScheduleSm100FastFP32Gemm { };
// Dispatch policies without smem load the A operand from tmem
struct KernelTmaWarpSpecialized1SmFastFP32Sm100 final : KernelSchedule1Sm, KernelScheduleSm100FastFP32Gemm { };
struct KernelTmaWarpSpecialized2SmFastFP32Sm100 final : KernelSchedule2Sm, KernelScheduleSm100FastFP32Gemm { };
// Dispatch policies with smem load the A operand from smem
struct KernelTmaWarpSpecialized1SmFastFP32SmemSm100 final : KernelSchedule1Sm, KernelTmaWarpSpecializedFastFP32SmemSm100 { };
struct KernelTmaWarpSpecialized2SmFastFP32SmemSm100 final : KernelSchedule2Sm, KernelTmaWarpSpecializedFastFP32SmemSm100 { };

///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM100 Ptr-Array FastF32 (9xBF16) GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
// Ptr-Array Transform GEMM: Specialize for 1SM vs 2SM FastF32 GEMM
struct KernelScheduleSm100PtrArrayFastFP32Gemm           : KernelScheduleSm100FastFP32Gemm {};
struct KernelTmaWarpSpecializedPtrArrayFastFP32SmemSm100 : KernelScheduleSm100PtrArrayFastFP32Gemm { };

struct KernelPtrArrayTmaWarpSpecialized1SmFastFP32Sm100     final : KernelSchedule1Sm, KernelScheduleSm100PtrArrayFastFP32Gemm { };
struct KernelPtrArrayTmaWarpSpecialized2SmFastFP32Sm100     final : KernelSchedule2Sm, KernelScheduleSm100PtrArrayFastFP32Gemm { };
struct KernelPtrArrayTmaWarpSpecialized1SmFastFP32SmemSm100 final : KernelSchedule1Sm, KernelTmaWarpSpecializedPtrArrayFastFP32SmemSm100 { };
struct KernelPtrArrayTmaWarpSpecialized2SmFastFP32SmemSm100 final : KernelSchedule2Sm, KernelTmaWarpSpecializedPtrArrayFastFP32SmemSm100 { };

///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM100 Sparse GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
struct KernelScheduleSparseGemmSm100 : KernelScheduleSm100 {};
// Sparse GEMM: Specialize for 1SM vs 2SM
struct KernelSparseTmaWarpSpecialized1SmSm100 final : KernelSchedule1Sm, KernelScheduleSparseGemmSm100 { };
struct KernelSparseTmaWarpSpecialized2SmSm100 final : KernelSchedule2Sm, KernelScheduleSparseGemmSm100 { };

///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM100 BlockScaled Dense GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
struct KernelScheduleBlockScaledGemmSm100   : KernelScheduleSm100 {};
struct KernelScheduleMxNvf4Sm100            : KernelScheduleBlockScaledGemmSm100 {};
struct KernelScheduleMxf8f6f4Sm100          : KernelScheduleBlockScaledGemmSm100 {};
// Block Scaled Dense GEMM: Specialize for instruction type, scale factor vector size, and 1SM vs. 2SM
struct KernelTmaWarpSpecialized1SmBlockScaledSm100       final : KernelSchedule1Sm, KernelScheduleBlockScaledGemmSm100 { };
struct KernelTmaWarpSpecialized2SmBlockScaledSm100       final : KernelSchedule2Sm, KernelScheduleBlockScaledGemmSm100 { };
struct KernelTmaWarpSpecialized1SmNvf4Sm100              final : KernelSchedule1Sm, KernelScheduleMxNvf4Sm100 { };
struct KernelTmaWarpSpecialized2SmNvf4Sm100              final : KernelSchedule2Sm, KernelScheduleMxNvf4Sm100 { };
struct KernelTmaWarpSpecialized1SmMxf4Sm100              final : KernelSchedule1Sm, KernelScheduleMxNvf4Sm100 { };
struct KernelTmaWarpSpecialized2SmMxf4Sm100              final : KernelSchedule2Sm, KernelScheduleMxNvf4Sm100 { };
struct KernelTmaWarpSpecialized1SmMxf8f6f4Sm100          final : KernelSchedule1Sm, KernelScheduleMxf8f6f4Sm100 { };
struct KernelTmaWarpSpecialized2SmMxf8f6f4Sm100          final : KernelSchedule2Sm, KernelScheduleMxf8f6f4Sm100 { };
///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM100 BlockScaled Ptr Array Dense GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
// BlockScaled Dense GEMM + (Ptr Array or Group GEMM)
struct KernelSchedulePtrArrayBlockScaledGemmSm100   : KernelScheduleBlockScaledGemmSm100 {};
struct KernelSchedulePtrArrayMxNvf4Sm100            : KernelSchedulePtrArrayBlockScaledGemmSm100 {};
struct KernelSchedulePtrArrayMxf8f6f4Sm100          : KernelSchedulePtrArrayBlockScaledGemmSm100 {};
// Ptr-Array Block Scaled Dense GEMM: Specialize for instruction type, scale factor vector size, and 1SM vs. 2SM
struct KernelPtrArrayTmaWarpSpecialized1SmBlockScaledSm100       final : KernelSchedule1Sm, KernelSchedulePtrArrayBlockScaledGemmSm100 { };
struct KernelPtrArrayTmaWarpSpecialized2SmBlockScaledSm100       final : KernelSchedule2Sm, KernelSchedulePtrArrayBlockScaledGemmSm100 { };
struct KernelPtrArrayTmaWarpSpecialized1SmNvf4Sm100              final : KernelSchedule1Sm, KernelSchedulePtrArrayMxNvf4Sm100 { };
struct KernelPtrArrayTmaWarpSpecialized2SmNvf4Sm100              final : KernelSchedule2Sm, KernelSchedulePtrArrayMxNvf4Sm100 { };
struct KernelPtrArrayTmaWarpSpecialized1SmMxf4Sm100              final : KernelSchedule1Sm, KernelSchedulePtrArrayMxNvf4Sm100 { };
struct KernelPtrArrayTmaWarpSpecialized2SmMxf4Sm100              final : KernelSchedule2Sm, KernelSchedulePtrArrayMxNvf4Sm100 { };
struct KernelPtrArrayTmaWarpSpecialized1SmMxf8f6f4Sm100          final : KernelSchedule1Sm, KernelSchedulePtrArrayMxf8f6f4Sm100 { };
struct KernelPtrArrayTmaWarpSpecialized2SmMxf8f6f4Sm100          final : KernelSchedule2Sm, KernelSchedulePtrArrayMxf8f6f4Sm100 { };
///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM100 BlockScaled Sparse GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
struct KernelScheduleBlockScaledSparseGemmSm100 : KernelScheduleSm100 {};
struct KernelScheduleSparseMxNvf4Sm100          : KernelScheduleBlockScaledSparseGemmSm100 {};
struct KernelScheduleSparseMxf8f6f4Sm100        : KernelScheduleBlockScaledSparseGemmSm100 {};
// Block Scaled Sparse GEMM: Specialize for instruction type, scale factor vector size, and 1SM vs. 2SM
struct KernelSparseTmaWarpSpecialized1SmBlockScaledSm100 final : KernelSchedule1Sm, KernelScheduleBlockScaledSparseGemmSm100 {};
struct KernelSparseTmaWarpSpecialized2SmBlockScaledSm100 final : KernelSchedule2Sm, KernelScheduleBlockScaledSparseGemmSm100 {};
struct KernelSparseTmaWarpSpecialized1SmMxf8f6f4Sm100    final : KernelSchedule1Sm, KernelScheduleSparseMxf8f6f4Sm100 { };
struct KernelSparseTmaWarpSpecialized2SmMxf8f6f4Sm100    final : KernelSchedule2Sm, KernelScheduleSparseMxf8f6f4Sm100 { };
struct KernelSparseTmaWarpSpecialized1SmNvf4Sm100        final : KernelSchedule1Sm, KernelScheduleSparseMxNvf4Sm100 { };
struct KernelSparseTmaWarpSpecialized2SmNvf4Sm100        final : KernelSchedule2Sm, KernelScheduleSparseMxNvf4Sm100 { };
struct KernelSparseTmaWarpSpecialized1SmMxf4Sm100        final : KernelSchedule1Sm, KernelScheduleSparseMxNvf4Sm100 { };
struct KernelSparseTmaWarpSpecialized2SmMxf4Sm100        final : KernelSchedule2Sm, KernelScheduleSparseMxNvf4Sm100 { };

///////////////////////////////////////////////////////////////////////////////////////////////////////
//
//          SM120 Dispatch Policies
//
///////////////////////////////////////////////////////////////////////////////////////////////////////

// Builder Tag Base Dispatch Policies
struct KernelScheduleSm120 {};
struct KernelScheduleAcc2x4Sm120 {};

///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM100 Dense GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
struct KernelScheduleSm120DenseGemm : KernelScheduleSm120 {};
// Dense GEMM: Specialize for instruction type
struct KernelScheduleF8f6f4Sm120 final : KernelScheduleSm120DenseGemm {};

///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM120 BlockScaled GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
struct KernelScheduleBlockScaledGemmSm120 : KernelScheduleSm120 {};
struct KernelScheduleMxf8f6f4Sm120        : KernelScheduleBlockScaledGemmSm120 {};
struct KernelScheduleMxNvf4Sm120          : KernelScheduleBlockScaledGemmSm120 {};
// Block Scaled Sparse GEMM: Specialize for instruction type, scale factor vector size.
struct KernelTmaWarpSpecializedNvf4Sm120             final : KernelScheduleMxNvf4Sm120, KernelTmaWarpSpecializedCooperative { };
struct KernelTmaWarpSpecializedPingpongNvf4Sm120     final : KernelScheduleMxNvf4Sm120, KernelTmaWarpSpecializedPingpong { };
struct KernelTmaWarpSpecializedMxf4Sm120             final : KernelScheduleMxNvf4Sm120, KernelTmaWarpSpecializedCooperative { };
struct KernelTmaWarpSpecializedPingpongMxf4Sm120     final : KernelScheduleMxNvf4Sm120, KernelTmaWarpSpecializedPingpong { };
struct KernelTmaWarpSpecializedMxf8f6f4Sm120         final : KernelScheduleMxf8f6f4Sm120, KernelTmaWarpSpecializedCooperative { };
struct KernelTmaWarpSpecializedPingpongMxf8f6f4Sm120 final : KernelScheduleMxf8f6f4Sm120, KernelTmaWarpSpecializedPingpong { };

///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM120 Sparse GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
struct KernelScheduleSparseGemmSm120 : KernelScheduleSm120 {};
// Sparse GEMM: Specialize for instruction type
struct KernelScheduleSparseF8f6f4Sm120 final : KernelScheduleSparseGemmSm120 {};

///////////////////////////////////////////////////////////////////////////////////////////////////////
// SM120 BlockScaled Sparse GEMM Dispatch Policies
///////////////////////////////////////////////////////////////////////////////////////////////////////
struct KernelScheduleBlockScaledSparseGemmSm120 : KernelScheduleSm120 {};
struct KernelScheduleSparseMxNvf4Sm120          : KernelScheduleBlockScaledSparseGemmSm120 {};
struct KernelScheduleSparseMxf8f6f4Sm120        : KernelScheduleBlockScaledSparseGemmSm120 {};
// Block Scaled Sparse GEMM: Specialize for instruction type, scale factor vector size, Acc2x4
struct KernelSparseTmaWarpSpecializedNvf4Sm120           final : KernelScheduleSparseMxNvf4Sm120 { };
struct KernelSparseTmaWarpSpecializedMxf4Sm120           final : KernelScheduleSparseMxNvf4Sm120 { };
struct KernelSparseTmaWarpSpecializedMxf8f6f4Sm120       final : KernelScheduleSparseMxf8f6f4Sm120 { };
struct KernelSparseTmaWarpSpecializedMxf8f6f4Acc2x4Sm120 final : KernelScheduleSparseMxf8f6f4Sm120, KernelScheduleAcc2x4Sm120 { };


// n-buffer in smem, pipelined with Blackwell UMMA and TMA, Warp specialized dynamic schedule
template<
  int Stages_,
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_,
  class ClusterShape_ = Shape<_1,_1,_1>
>
struct MainloopSm100TmaUmmaWarpSpecialized {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm100;
  using Schedule = KernelTmaWarpSpecializedSm100<SchedulerPipelineStageCount_, AccumulatorPipelineStageCount_>;
  constexpr static bool IsOverlappingAccum = false;
};

// n-buffer in smem, pipelined with Blackwell UMMA and TMA, Warp specialized dynamic schedule
template<
  int Stages_,
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_,
  class ClusterShape_ = Shape<_1,_1,_1>
>
struct MainloopSm100TmaUmmaWarpSpecializedBlockwiseScaling {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm100;
  using Schedule = KernelTmaWarpSpecializedMmaTransformSm100<SchedulerPipelineStageCount_, AccumulatorPipelineStageCount_>;
  constexpr static bool IsOverlappingAccum = false;
};

// n-buffer in smem, pipelined with Blackwell UMMA and TMA, Warp specialized dynamic schedule
template<
  int Stages_,
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_,
  class ClusterShape_ = Shape<_1,_1,_1>
>
struct MainloopSm100TmaUmmaWarpSpecializedBlockScaled {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm100;
  constexpr static bool IsOverlappingAccum = AccumulatorPipelineStageCount_ == 1;
  using Schedule = KernelTmaWarpSpecializedBlockScaledSm100<SchedulerPipelineStageCount_, AccumulatorPipelineStageCount_>;
};

template<
  int Stages_,
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_,
  class ClusterShape_ = Shape<_1,_1,_1>
>
struct MainloopSm100TmaUmmaWarpSpecializedSparse {
  constexpr static int Stages = Stages_;
  constexpr static int MetadataS2TStages = 4;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm100;
  constexpr static bool IsOverlappingAccum = AccumulatorPipelineStageCount_ == 1;
  using Schedule = KernelSparseTmaWarpSpecializedSm100<SchedulerPipelineStageCount_, AccumulatorPipelineStageCount_>;
};

template<
  int Stages_,
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_,
  class ClusterShape_ = Shape<_1,_1,_1>
>
struct MainloopSm100TmaUmmaWarpSpecializedBlockScaledSparse {
  constexpr static int Stages = Stages_;
  constexpr static int MetadataS2TStages = 4;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm100;
  constexpr static bool IsOverlappingAccum = AccumulatorPipelineStageCount_ == 1;
  using Schedule = KernelSparseTmaWarpSpecializedBlockScaledSm100<SchedulerPipelineStageCount_, AccumulatorPipelineStageCount_>;
};

// n-buffer in smem, pipelined with Blackwell Fast FP32 kernel with UMMA (HwScaled) and TMA,
// Warp specialized dynamic schedule
template<
  // Number of Pipeline stages for
  // MainloopLoad <-> Conversion <-> MainLoad
  int Load2TransformPipelineStageCount_,
  // Number of Pipeline stages for
  // MainloopLoad <-> Conversion <-> MainLoad
  int Transform2MmaPipelineStageCount_,
  // TileScheduler pipeline depth
  int SchedulerPipelineStageCount_,
  // Accmulator pipeline depth
  int AccumulatorPipelineStageCount_,
  // Number of MMA Bands to be computed in a single FastF32 MMA operation.
  // For BF16 emulation, we have 3 compute matrices, with 9 MMAs forming 5 bands.
  //    We can eliminate bands 4 and/or 5 (up to last 3 MMA operations).
  //    Valid values are 3, 4, 5
  int NumBandsToCompute_,
  // Scaling factor for decomposed matrices (2^ScalingFactor)
  // 8 for BF16, 11 for TF32
  int ScalingFactor_,
  // Number of UMMA instructions emulated a single stage
  // Ex: Staged16 has 1 FastF32 MMA per stage
  // Should be smaller than K-mode of a single ClusterTile
  int AccPromotionInterval_,
  // ClusterShape for the kernel
  class ClusterShape_ = Shape<_1,_1,_1>,
  // The TMEM_LOAD atom to be used for loading local accumulator
  // from TMEM to registers
  class AccumulatorCopyAtom_ = cute::SM100_TMEM_LOAD_32dp32b32x
>
struct MainloopSm100TmaUmmaWarpSpecializedFastF32 {
  constexpr static int Load2TransformPipelineStageCount = Load2TransformPipelineStageCount_;
  constexpr static int Transform2MmaPipelineStageCount = Transform2MmaPipelineStageCount_;
  constexpr static int NumBandsToCompute = NumBandsToCompute_;
  constexpr static int ScalingFactor = ScalingFactor_;
  constexpr static int AccPromotionInterval = AccPromotionInterval_;
  constexpr static detail::KernelInputTransformType InputTransformType = detail::KernelInputTransformType::FastF32;
  using ClusterShape = ClusterShape_;
  using AccumulatorCopyAtom = AccumulatorCopyAtom_;
  using ArchTag = arch::Sm100;
  using Schedule = KernelTmaWarpSpecializedInputTransformSm100<SchedulerPipelineStageCount_, AccumulatorPipelineStageCount_>;

  // For backwards compatibility with GemmUniversalAdapter.
  constexpr static int Stages = Load2TransformPipelineStageCount;
};



// n-buffer in smem, pipelined with Blackwell UMMA and TMA, Warp specialized dynamic schedule
template<
  int Stages_,
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_,
  class ClusterShape_ = Shape<_1,_1,_1>
>
struct MainloopSm100ArrayTmaUmmaWarpSpecialized {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm100;
  constexpr static bool IsOverlappingAccum = false;
  using Schedule = KernelPtrArrayTmaWarpSpecializedSm100<SchedulerPipelineStageCount_, AccumulatorPipelineStageCount_>;
};

// n-buffer in smem, pipelined with Blackwell UMMA and TMA, Warp specialized dynamic schedule
template<
  int Stages_,
  int SchedulerPipelineStageCount_,
  int AccumulatorPipelineStageCount_,
  class ClusterShape_ = Shape<_1,_1,_1>
>
struct MainloopSm100ArrayTmaUmmaWarpSpecializedBlockScaled {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm100;
  constexpr static bool IsOverlappingAccum = AccumulatorPipelineStageCount_ == 1;
  using Schedule = KernelPtrArrayTmaWarpSpecializedBlockScaledSm100<SchedulerPipelineStageCount_, AccumulatorPipelineStageCount_>;
};



// n-buffer in smem, pipelined with Blackwell Fast FP32 kernel with UMMA (HwScaled) and TMA,
// Warp specialized dynamic schedule
template<
  // Number of Pipeline stages for
  // MainloopLoad <-> Conversion <-> MainLoad
  int Load2TransformPipelineStageCount_,
  // Number of Pipeline stages for
  // MainloopLoad <-> Conversion <-> MainLoad
  int Transform2MmaPipelineStageCount_,
  // TileScheduler pipeline depth
  int SchedulerPipelineStageCount_,
  // Accmulator pipeline depth
  int AccumulatorPipelineStageCount_,
  // Number of MMA Bands to be computed in a single FastF32 MMA operation.
  // For BF16 emulation, we have 3 compute matrices, with 9 MMAs forming 5 bands.
  //    We can eliminate bands 4 and/or 5 (up to last 3 MMA operations).
  //    Valid values are 3, 4, 5
  int NumBandsToCompute_,
  // Scaling factor for decomposed matrices (2^ScalingFactor)
  // 8 for BF16, 11 for TF32
  int ScalingFactor_,
  // Number of UMMA instructions emulated a single stage
  // Ex: Staged16 has 1 FastF32 MMA per stage
  // Should be smaller than K-mode of a single ClusterTile
  int AccPromotionInterval_,
  // ClusterShape for the kernel
  class ClusterShape_ = Shape<_1,_1,_1>,
  // The TMEM_LOAD atom to be used for loading local accumulator
  // from TMEM to registers
  class AccumulatorCopyAtom_ = cute::SM100_TMEM_LOAD_32dp32b32x
>
struct MainloopSm100ArrayTmaUmmaWarpSpecializedFastF32 {
  constexpr static int Load2TransformPipelineStageCount = Load2TransformPipelineStageCount_;
  constexpr static int Transform2MmaPipelineStageCount = Transform2MmaPipelineStageCount_;
  constexpr static int NumBandsToCompute = NumBandsToCompute_;
  constexpr static int ScalingFactor = ScalingFactor_;
  constexpr static int AccPromotionInterval = AccPromotionInterval_;
  constexpr static detail::KernelInputTransformType InputTransformType = detail::KernelInputTransformType::FastF32;
  using ClusterShape = ClusterShape_;
  using AccumulatorCopyAtom = AccumulatorCopyAtom_;
  using ArchTag = arch::Sm100;
  using Schedule = KernelPtrArrayTmaWarpSpecializedInputTransformSm100<SchedulerPipelineStageCount_, AccumulatorPipelineStageCount_>;

  // For backwards compatibility with GemmUniversalAdapter.
  constexpr static int Stages = Load2TransformPipelineStageCount;
};


#if defined(SYCL_INTEL_TARGET)
template<int Stages_, class KernelSchedule = KernelPVC>
struct MainloopIntelPVC {
  constexpr static int Stages = Stages_;
  constexpr static int SubgroupSize = 16;
  using ArchTag = arch::IntelPVC;
  using Schedule = KernelSchedule;
  using ClusterShape = Shape<_1,_1,_1>;
};

template<int Stages_, class KernelScheduler = KernelPVCPtrArrayCooperative>
struct MainloopIntelPVCGroup {
  constexpr static int Stages = Stages_;
  constexpr static int SubgroupSize = 16;
  using ArchTag = arch::IntelPVC;
  using Schedule = KernelScheduler;
  using ClusterShape = Shape<_1,_1,_1>;
};

template<int Stages_>
struct MainloopIntelPVCMixedPrecision {
  constexpr static int Stages = Stages_;
  constexpr static int SubgroupSize = 16;
  using ArchTag = arch::IntelPVC;
  using Schedule = KernelPVC;
  using ClusterShape = Shape<_1,_1,_1>;
};

template<int Stages_, class KernelSchedule = KernelPVC>
struct MainloopIntelW8A8 {
    constexpr static int Stages = Stages_;
    constexpr static int SubgroupSize = 16;
    using ArchTag = arch::IntelPVC;
    using Schedule = KernelPVC;
    using ClusterShape = Shape<_1, _1, _1>;
};
#endif

#if defined(CUTLASS_ENABLE_SYCL)
struct MainloopDeviceAgnostic {
  using ArchTag = arch::Agnostic;
  using ClusterShape = Shape<_1,_1,_1>;
  using Schedule = KernelMultistage;
};
#endif

template<
  int Stages_,
  int SchedulerPipelineStageCount_,
  class ClusterShape_,
  class KernelSchedule_
>
struct MainloopSm120TmaWarpSpecialized {
  constexpr static int Stages = Stages_;
  using ClusterShape = ClusterShape_;
  using KernelSchedule = KernelSchedule_;

  constexpr static int PipelineAsyncMmaStages = 0;
  using ArchTag = arch::Sm120;

  using Schedule = cute::conditional_t<cute::is_base_of_v<KernelTmaWarpSpecializedPingpong, KernelSchedule>,
                                       KernelTmaWarpSpecializedPingpongSm120<SchedulerPipelineStageCount_>,
                                       KernelTmaWarpSpecializedCooperativeSm120<SchedulerPipelineStageCount_>>;
};

template<
  int Stages_,
  int SchedulerPipelineStageCount_,
  class ClusterShape_,
  class KernelSchedule_
>
struct MainloopSm120TmaWarpSpecializedBlockScaled {
  constexpr static int Stages = Stages_;
  constexpr static int SchedulerPipelineStageCount = SchedulerPipelineStageCount_;
  using ClusterShape = ClusterShape_;
  using KernelSchedule = KernelSchedule_;

  constexpr static int PipelineAsyncMmaStages = 0;
  using ArchTag = arch::Sm120;

  using Schedule = cute::conditional_t<cute::is_base_of_v<KernelTmaWarpSpecializedPingpong, KernelSchedule>,
                                       KernelTmaWarpSpecializedPingpongBlockScaledSm120<SchedulerPipelineStageCount_>,
                                       KernelTmaWarpSpecializedCooperativeBlockScaledSm120<SchedulerPipelineStageCount_>>;

};

template<
  int StagesA_,
  int StagesB_,
  int StagesE_,
  int SchedulerPipelineStageCount_,
  class ClusterShape_ = Shape<_1,_1,_1>
>
struct MainloopSm120TmaWarpSpecializedSparse {
  constexpr static int StagesA = StagesA_;
  constexpr static int StagesB = StagesB_;
  constexpr static int StagesE = StagesE_;
  constexpr static bool isAsymmetric = (StagesA != StagesB);
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm120;
  using Schedule = KernelTmaWarpSpecializedCooperativeSparseSm120<SchedulerPipelineStageCount_, isAsymmetric>;
};

template<
  int StagesA_,
  int StagesB_,
  int StagesE_,
  int SchedulerPipelineStageCount_,
  class ClusterShape_ = Shape<_1,_1,_1>
>
struct MainloopSm120TmaWarpSpecializedSparseBlockScaled {
  constexpr static int StagesA = StagesA_;
  constexpr static int StagesB = StagesB_;
  constexpr static int StagesE = StagesE_;
  constexpr static bool isAsymmetric = (StagesA != StagesB);
  using ClusterShape = ClusterShape_;
  using ArchTag = arch::Sm120;
  using Schedule = KernelTmaWarpSpecializedCooperativeSparseBlockScaledSm120<SchedulerPipelineStageCount_, isAsymmetric>;
};


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

} // namespace cutlass::gemm