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/*! \file
    \brief Tests for device-wide persistent GEMM interface with bias and elementwise epilogues.
*/

#include <iostream>

#include "cutlass/cutlass.h"
#include "cute/tensor.hpp"
#include "cute/atom/mma_atom.hpp"

#include "cutlass/numeric_types.h"

#include "cutlass/gemm/device/gemm_universal_adapter.h"
#include "cutlass/gemm/kernel/gemm_universal.hpp"
#include "cutlass/epilogue/collective/collective_builder.hpp"
#include "cutlass/gemm/collective/collective_builder.hpp"
#include "cutlass/epilogue/collective/sm70_epilogue_vectorized.hpp"
#include "cutlass/epilogue/collective/default_epilogue.hpp"
#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/epilogue/thread/linear_combination_bias_elementwise.h"

#include "../../common/cutlass_unit_test.h"

#include "gemm_testbed_3x.hpp"


#if defined(CUTLASS_ARCH_MMA_SM90_SUPPORTED)

using namespace cute;

TEST(SM90_Device_Gemm_f16t_f16n_f32t_tensor_op_gmma_f32_persistent_epilogue, 128x128x64_2x2x1_ReLU) {
  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  using TileShape_MNK = Shape<_128,_128,_64>;
  using ClusterShape_MNK = Shape<_2,_2,_1>;

  using EpilogueSchedule = cutlass::epilogue::TmaWarpSpecialized;
  using FusionOperation = cutlass::epilogue::fusion::LinCombEltAct<
      cutlass::epilogue::thread::ReLu, cutlass::half_t, float>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      cutlass::half_t, LayoutC, 8,
      cutlass::half_t, LayoutC, 8,
      EpilogueSchedule,
      FusionOperation
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::half_t, LayoutA, 8,
      cutlass::half_t, LayoutB, 8,
      float,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::gemm::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::gemm::KernelTmaWarpSpecializedPingpong
    >::CollectiveOp;

  using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
      Shape<int,int,int,int>,
      CollectiveMainloop,
      CollectiveEpilogue
  >;

  using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
  bool passed = test::gemm::device::TestAll<Gemm, cutlass::epilogue::thread::ReLu>(1, 1);
  EXPECT_TRUE(passed);
}

TEST(SM90_Device_Gemm_f16t_f16n_f32t_tensor_op_gmma_f32_persistent_epilogue, 128x128x64_2x2x1_BiasF32_ReLU) {
  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  using TileShape_MNK = Shape<_128,_128,_64>;
  using ClusterShape_MNK = Shape<_2,_2,_1>;

  using EpilogueSchedule = cutlass::epilogue::TmaWarpSpecialized;
  using FusionOperation = cutlass::epilogue::fusion::LinCombPerRowBiasEltActAux<
      LayoutC, cutlass::epilogue::thread::ReLu, cutlass::half_t, float, cutlass::half_t, float>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      cutlass::half_t, LayoutC, 8,
      cutlass::half_t, LayoutC, 8,
      EpilogueSchedule,
      FusionOperation
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::half_t, LayoutA, 8,
      cutlass::half_t, LayoutB, 8,
      float,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::gemm::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::gemm::KernelTmaWarpSpecializedPingpong
    >::CollectiveOp;

  using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
      Shape<int,int,int,int>,
      CollectiveMainloop,
      CollectiveEpilogue
  >;

  using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;

  bool passed = test::gemm::device::TestAllBiasElementwise<Gemm>(1, 1);
  EXPECT_TRUE(passed);
}

TEST(SM90_Device_Gemm_f16t_f16n_f32t_tensor_op_gmma_f32_persistent_epilogue, 128x128x64_2x2x1_BiasF32_GELU) {
  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  using TileShape_MNK = Shape<_128,_128,_64>;
  using ClusterShape_MNK = Shape<_2,_2,_1>;

  using EpilogueSchedule = cutlass::epilogue::TmaWarpSpecialized;
  using FusionOperation = cutlass::epilogue::fusion::LinCombPerRowBiasEltActAux<
      LayoutC, cutlass::epilogue::thread::GELU, cutlass::half_t, float, cutlass::half_t, float>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      cutlass::half_t, LayoutC, 8,
      cutlass::half_t, LayoutC, 8,
      EpilogueSchedule,
      FusionOperation
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::half_t, LayoutA, 8,
      cutlass::half_t, LayoutB, 8,
      float,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::gemm::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::gemm::KernelTmaWarpSpecializedPingpong
    >::CollectiveOp;

  using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
      Shape<int,int,int,int>,
      CollectiveMainloop,
      CollectiveEpilogue
  >;

  using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;

  using namespace test::gemm::device; 
  bool passed = TestAllBiasElementwise<Gemm>(1, 1, CheckEquality::RELATIVE);
  EXPECT_TRUE(passed);
}

TEST(SM90_Device_Gemm_f16t_f16n_f32t_tensor_op_gmma_f32_persistent_epilogue, 128x128x64_2x2x1_BiasF32_ReLU_NoStoreT) {
  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  using TileShape_MNK = Shape<_128,_128,_64>;
  using ClusterShape_MNK = Shape<_2,_2,_1>;

  using EpilogueSchedule = cutlass::epilogue::TmaWarpSpecialized;
  using FusionOperation = cutlass::epilogue::fusion::LinCombPerRowBiasEltAct<
      cutlass::epilogue::thread::ReLu, cutlass::half_t, float, float>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      cutlass::half_t, LayoutC, 8,
      cutlass::half_t, LayoutC, 8,
      EpilogueSchedule,
      FusionOperation
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::half_t, LayoutA, 8,
      cutlass::half_t, LayoutB, 8,
      float,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::gemm::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::gemm::KernelTmaWarpSpecializedPingpong
    >::CollectiveOp;

  using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
      Shape<int,int,int,int>,
      CollectiveMainloop,
      CollectiveEpilogue
  >;

  using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;

  bool passed = test::gemm::device::TestAllBiasElementwise<Gemm>(1, 1);
  EXPECT_TRUE(passed);
}

TEST(SM90_Device_Gemm_f16t_f16n_f32t_tensor_op_gmma_f32_persistent_epilogue, 128x128x64_2x2x1_BiasF32_Negate) {

  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  using TileShape_MNK = Shape<_128,_128,_64>;
  using ClusterShape_MNK = Shape<_2,_2,_1>;

  using EpilogueSchedule = cutlass::epilogue::TmaWarpSpecialized;
  using FusionOperation = cutlass::epilogue::fusion::LinCombPerRowBiasEltActAux<
      LayoutC, cutlass::negate, cutlass::half_t, float, cutlass::half_t, float>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      cutlass::half_t, LayoutC, 8,
      cutlass::half_t, LayoutC, 8,
      EpilogueSchedule,
      FusionOperation
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::half_t, LayoutA, 8,
      cutlass::half_t, LayoutB, 8,
      float,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::gemm::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::gemm::KernelTmaWarpSpecializedPingpong
    >::CollectiveOp;

  using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
      Shape<int,int,int,int>,
      CollectiveMainloop,
      CollectiveEpilogue
  >;

  using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;

  bool passed = test::gemm::device::TestAllBiasElementwise<Gemm>(1, 1);
  EXPECT_TRUE(passed);
}

TEST(SM90_Device_Gemm_f16t_f16n_f32n_tensor_op_gmma_f32_persistent_epilogue, 128x128x64_2x2x1_BiasF32_ReLU) {

  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::ColumnMajor;
  using TileShape_MNK = Shape<_128,_128,_64>;
  using ClusterShape_MNK = Shape<_2,_2,_1>;

  using EpilogueSchedule = cutlass::epilogue::TmaWarpSpecialized;
  using FusionOperation = cutlass::epilogue::fusion::LinCombPerRowBiasEltActAux<
      LayoutC, cutlass::epilogue::thread::ReLu, cutlass::half_t, float, cutlass::half_t, float>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      cutlass::half_t, LayoutC, 8,
      cutlass::half_t, LayoutC, 8,
      EpilogueSchedule,
      FusionOperation
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::half_t, LayoutA, 8,
      cutlass::half_t, LayoutB, 8,
      float,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::gemm::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::gemm::KernelTmaWarpSpecializedPingpong
    >::CollectiveOp;

  using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
      Shape<int,int,int,int>,
      CollectiveMainloop,
      CollectiveEpilogue
  >;

  using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;

  bool passed = test::gemm::device::TestAllBiasElementwise<Gemm>(1, 1);
  EXPECT_TRUE(passed);
}

TEST(SM90_Device_Gemm_f16t_f16n_f32t_tensor_op_gmma_f32_persistent_epilogue, 128x128x64_2x2x1_BiasF32_ReLU_VoidC) {

  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  using TileShape_MNK = Shape<_128,_128,_64>;
  using ClusterShape_MNK = Shape<_2,_2,_1>;

  using EpilogueSchedule = cutlass::epilogue::TmaWarpSpecialized;
  using FusionOperation = cutlass::epilogue::fusion::LinCombPerRowBiasEltActAux<
      LayoutC, cutlass::epilogue::thread::ReLu, cutlass::half_t, float, cutlass::half_t, float, void>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      void, LayoutC, 8,
      cutlass::half_t, LayoutC, 8,
      EpilogueSchedule,
      FusionOperation
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::half_t, LayoutA, 8,
      cutlass::half_t, LayoutB, 8,
      float,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::gemm::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::gemm::KernelTmaWarpSpecializedPingpong
    >::CollectiveOp;

  using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
      Shape<int,int,int,int>,
      CollectiveMainloop,
      CollectiveEpilogue
  >;

  using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;

  bool passed = test::gemm::device::TestAllBiasElementwise<Gemm>();
  EXPECT_TRUE(passed);
}

TEST(SM90_Device_Gemm_f16t_f16n_f32t_tensor_op_gmma_f32_persistent_epilogue, 128x128x64_2x2x1_BiasF16_ReLU_VoidC) {

  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  using TileShape_MNK = Shape<_128,_128,_64>;
  using ClusterShape_MNK = Shape<_2,_2,_1>;

  using EpilogueSchedule = cutlass::epilogue::TmaWarpSpecialized;
  using FusionOperation = cutlass::epilogue::fusion::LinCombPerRowBiasEltActAux<
      LayoutC, cutlass::epilogue::thread::ReLu, cutlass::half_t, float, cutlass::half_t, cutlass::half_t, void>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      void, LayoutC, 8,
      cutlass::half_t, LayoutC, 8,
      EpilogueSchedule,
      FusionOperation
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::half_t, LayoutA, 8,
      cutlass::half_t, LayoutB, 8,
      float,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::gemm::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::gemm::KernelTmaWarpSpecializedPingpong
    >::CollectiveOp;

  using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
      Shape<int,int,int,int>,
      CollectiveMainloop,
      CollectiveEpilogue
  >;

  using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;

  bool passed = test::gemm::device::TestAllBiasElementwise<Gemm>();
  EXPECT_TRUE(passed);
}

TEST(SM90_Device_Gemm_f16t_f16n_f32t_tensor_op_gmma_f32_persistent_epilogue, 128x128x64_2x2x1_BiasS8_ReLU_VoidC) {

  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  using TileShape_MNK = Shape<_128,_128,_64>;
  using ClusterShape_MNK = Shape<_2,_2,_1>;

  using EpilogueSchedule = cutlass::epilogue::TmaWarpSpecialized;
  using FusionOperation = cutlass::epilogue::fusion::LinCombPerRowBiasEltActAux<
      LayoutC, cutlass::epilogue::thread::ReLu, cutlass::half_t, float, cutlass::half_t, int8_t, void>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      void, LayoutC, 8,
      cutlass::half_t, LayoutC, 8,
      EpilogueSchedule,
      FusionOperation
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::half_t, LayoutA, 8,
      cutlass::half_t, LayoutB, 8,
      float,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::gemm::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::gemm::KernelTmaWarpSpecializedPingpong
    >::CollectiveOp;

  using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
      Shape<int,int,int,int>,
      CollectiveMainloop,
      CollectiveEpilogue
  >;

  using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;

  bool passed = test::gemm::device::TestAllBiasElementwise<Gemm>();
  EXPECT_TRUE(passed);
}

TEST(SM90_Device_Gemm_f16t_f16n_f32t_tensor_op_gmma_f32_pingpong_epilogue, 128x128x64_2x2x1_dReLU_dBias_VoidC) {

  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  using TileShape_MNK = Shape<_128,_128,_64>;
  using ClusterShape_MNK = Shape<_2,_2,_1>;

  using EpilogueSchedule = cutlass::epilogue::TmaWarpSpecialized;
  using FusionOperation = cutlass::epilogue::fusion::LinCombDeEltActDePerRowBias<
      LayoutC, cutlass::epilogue::thread::dReLU, cutlass::half_t, float, cutlass::uint1b_t, float, void>;

  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      void, LayoutC, 8,
      cutlass::half_t, LayoutC, 8,
      EpilogueSchedule,
      FusionOperation
    >::CollectiveOp;

  using CollectiveMainloop = typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm90, cutlass::arch::OpClassTensorOp,
      cutlass::half_t, LayoutA, 8,
      cutlass::half_t, LayoutB, 8,
      float,
      TileShape_MNK, ClusterShape_MNK,
      cutlass::gemm::collective::StageCountAutoCarveout<static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))>,
      cutlass::gemm::KernelTmaWarpSpecializedPingpong
    >::CollectiveOp;

  using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
      Shape<int,int,int,int>,
      CollectiveMainloop,
      CollectiveEpilogue
  >;

  using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;

  bool passed = test::gemm::device::TestAllBiasElementwise<Gemm>();
  EXPECT_TRUE(passed);
}

#endif // defined(CUTLASS_ARCH_MMA_SM90_SUPPORTED)
