/***************************************************************************************************
 * Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 * SPDX-License-Identifier: BSD-3-Clause
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *
 * 1. Redistributions of source code must retain the above copyright notice, this
 * list of conditions and the following disclaimer.
 *
 * 2. Redistributions in binary form must reproduce the above copyright notice,
 * this list of conditions and the following disclaimer in the documentation
 * and/or other materials provided with the distribution.
 *
 * 3. Neither the name of the copyright holder nor the names of its
 * contributors may be used to endorse or promote products derived from
 * this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
 * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
 * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
 * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
 * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 *
 **************************************************************************************************/

#pragma once

#include "cutlass/gemm/collective/collective_builder.hpp"

#include "dispatch_policy_extra.hpp"
#include "sm90_mma_tma_gmma_ss_warpspecialized_with_prefetch.hpp"

namespace cutlass::gemm::collective {

// GMMA_TMA_WS_FP8_FAST_ACCUM_SS + prefetch
template <
  class ElementA,
  class GmemLayoutATag,
  int AlignmentA,
  class ElementB,
  class GmemLayoutBTag,
  int AlignmentB,
  class ElementAccumulator,
  class TileShape_MNK,
  class ClusterShape_MNK,
  class StageCountType,
  class KernelScheduleType
>
struct CollectiveBuilder<
    arch::Sm90,
    arch::OpClassTensorOp,
    ElementA,
    GmemLayoutATag,
    AlignmentA,
    ElementB,
    GmemLayoutBTag,
    AlignmentB,
    ElementAccumulator,
    TileShape_MNK,
    ClusterShape_MNK,
    StageCountType,
    KernelScheduleType,
    cute::enable_if_t<
      cute::is_same_v<KernelScheduleType, KernelTmaWarpSpecializedFP8FastAccumWithPrefetch>>
> {
  static_assert(is_static<TileShape_MNK>::value);
  static_assert(is_static<ClusterShape_MNK>::value);
  static_assert(detail::is_aligned<ElementA, AlignmentA, ElementB, AlignmentB, detail::tma_alignment_bytes>(),
                "Not meet TMA alignment requirement yet\n");
  static_assert(detail::is_input_fp8<ElementA, ElementB>(),
                "Only FP8 datatypes are compatible with these kernel schedules\n");
  // Dispatch TN fp8 kernels only to TMA warp specialized FP8 builder
  static_assert(!detail::is_use_rmem_A<ElementA, GmemLayoutATag, ElementB, GmemLayoutBTag>(),
                 "Not supported for fp8 non-TN warp specialized kernels yet\n");
#ifndef CUTLASS_SM90_COLLECTIVE_BUILDER_SUPPORTED
  static_assert(cutlass::detail::dependent_false<ElementA>, "Unsupported Toolkit for SM90 Collective Builder\n");
#endif

  static constexpr cute::GMMA::Major GmmaMajorA = detail::gmma_ss_tag_to_major_A<ElementA, GmemLayoutATag>();
  static constexpr cute::GMMA::Major GmmaMajorB = detail::gmma_ss_tag_to_major_B<ElementB, GmemLayoutBTag>();

  using AtomLayoutMNK = Layout<Shape<_1,_1,_1>>;

  using TiledMma = decltype(cute::make_tiled_mma(cute::GMMA::ss_op_selector<
      ElementA, ElementB, ElementAccumulator, TileShape_MNK, GmmaMajorA, GmmaMajorB>(), AtomLayoutMNK{}));

  using GmemTiledCopyA = decltype(detail::sm90_cluster_shape_to_tma_atom(shape<1>(ClusterShape_MNK{})));
  using GmemTiledCopyB = decltype(detail::sm90_cluster_shape_to_tma_atom(shape<0>(ClusterShape_MNK{})));

  using SmemLayoutAtomA = decltype(detail::ss_smem_selector<
      GmmaMajorA, ElementA, decltype(cute::get<0>(TileShape_MNK{})), decltype(cute::get<2>(TileShape_MNK{}))>());
  using SmemLayoutAtomB = decltype(detail::ss_smem_selector<
      GmmaMajorB, ElementB, decltype(cute::get<1>(TileShape_MNK{})), decltype(cute::get<2>(TileShape_MNK{}))>());

  static constexpr int PipelineStages = detail::compute_stage_count_or_override<detail::sm90_smem_capacity_bytes,
      ElementA, ElementB, TileShape_MNK>(StageCountType{});
  using DispatchPolicy = MainloopSm90TmaGmmaWarpSpecializedWithPrefetch<PipelineStages, ClusterShape_MNK, KernelScheduleType>;

  using SmemCopyAtomA = void;
  using SmemCopyAtomB = void;

  using CollectiveOp = CollectiveMma<
      DispatchPolicy,
      TileShape_MNK,
      ElementA,
      TagToStrideA_t<GmemLayoutATag>,
      ElementB,
      TagToStrideB_t<GmemLayoutBTag>,
      TiledMma,
      GmemTiledCopyA,
      SmemLayoutAtomA,
      SmemCopyAtomA,
      cute::identity,
      GmemTiledCopyB,
      SmemLayoutAtomB,
      SmemCopyAtomB,
      cute::identity
    >;
};

// GMMA_TMA_WS_FP8_FAST_ACCUM_SS + prefetch and split DMA warps
template <
  class ElementA,
  class GmemLayoutATag,
  int AlignmentA,
  class ElementB,
  class GmemLayoutBTag,
  int AlignmentB,
  class ElementAccumulator,
  class TileShape_MNK,
  class ClusterShape_MNK,
  class StageCountType,
  class KernelScheduleType
>
struct CollectiveBuilder<
    arch::Sm90,
    arch::OpClassTensorOp,
    ElementA,
    GmemLayoutATag,
    AlignmentA,
    ElementB,
    GmemLayoutBTag,
    AlignmentB,
    ElementAccumulator,
    TileShape_MNK,
    ClusterShape_MNK,
    StageCountType,
    KernelScheduleType,
    cute::enable_if_t<
      cute::is_same_v<KernelScheduleType, KernelTmaWarpSpecializedFP8FastAccumWithPrefetchAndSplitDMA>>
> {
  static_assert(is_static<TileShape_MNK>::value);
  static_assert(is_static<ClusterShape_MNK>::value);
  static_assert(detail::is_aligned<ElementA, AlignmentA, ElementB, AlignmentB, detail::tma_alignment_bytes>(),
                "Not meet TMA alignment requirement yet\n");
  static_assert(detail::is_input_fp8<ElementA, ElementB>(),
                "Only FP8 datatypes are compatible with these kernel schedules\n");
  // Dispatch TN fp8 kernels only to TMA warp specialized FP8 builder
  static_assert(!detail::is_use_rmem_A<ElementA, GmemLayoutATag, ElementB, GmemLayoutBTag>(),
                 "Not supported for fp8 non-TN warp specialized kernels yet\n");
#ifndef CUTLASS_SM90_COLLECTIVE_BUILDER_SUPPORTED
  static_assert(cutlass::detail::dependent_false<ElementA>, "Unsupported Toolkit for SM90 Collective Builder\n");
#endif

  static constexpr cute::GMMA::Major GmmaMajorA = detail::gmma_ss_tag_to_major_A<ElementA, GmemLayoutATag>();
  static constexpr cute::GMMA::Major GmmaMajorB = detail::gmma_ss_tag_to_major_B<ElementB, GmemLayoutBTag>();

  using AtomLayoutMNK = Layout<Shape<_1,_1,_1>>;

  using TiledMma = decltype(cute::make_tiled_mma(cute::GMMA::ss_op_selector<
      ElementA, ElementB, ElementAccumulator, TileShape_MNK, GmmaMajorA, GmmaMajorB>(), AtomLayoutMNK{}));

  using GmemTiledCopyA = decltype(detail::sm90_cluster_shape_to_tma_atom(shape<1>(ClusterShape_MNK{})));
  using GmemTiledCopyB = decltype(detail::sm90_cluster_shape_to_tma_atom(shape<0>(ClusterShape_MNK{})));

  using SmemLayoutAtomA = decltype(detail::ss_smem_selector<
      GmmaMajorA, ElementA, decltype(cute::get<0>(TileShape_MNK{})), decltype(cute::get<2>(TileShape_MNK{}))>());
  using SmemLayoutAtomB = decltype(detail::ss_smem_selector<
      GmmaMajorB, ElementB, decltype(cute::get<1>(TileShape_MNK{})), decltype(cute::get<2>(TileShape_MNK{}))>());

  static constexpr int PipelineStages = detail::compute_stage_count_or_override<detail::sm90_smem_capacity_bytes,
      ElementA, ElementB, TileShape_MNK>(StageCountType{});
  using DispatchPolicy = MainloopSm90TmaGmmaWarpSpecializedWithPrefetch<PipelineStages, ClusterShape_MNK, KernelScheduleType>;

  using SmemCopyAtomA = void;
  using SmemCopyAtomB = void;

  using CollectiveOp = CollectiveMma<
      DispatchPolicy,
      TileShape_MNK,
      ElementA,
      TagToStrideA_t<GmemLayoutATag>,
      ElementB,
      TagToStrideB_t<GmemLayoutBTag>,
      TiledMma,
      GmemTiledCopyA,
      SmemLayoutAtomA,
      SmemCopyAtomA,
      cute::identity,
      GmemTiledCopyB,
      SmemLayoutAtomB,
      SmemCopyAtomB,
      cute::identity
    >;
};

} // namespace cutlass::gemm::collective

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