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/*! \file
    \brief Tests for device-wide GEMM interface
*/

#include <iostream>

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

#include "cutlass/numeric_types.h"
#include "cutlass/arch/mma_sm100.h"

#include "cutlass/gemm/device/gemm_universal_adapter.h"
#include "cutlass/gemm/kernel/gemm_universal.hpp"
#include "cutlass/gemm/collective/collective_builder.hpp"

#include "cutlass/epilogue/dispatch_policy.hpp"
#include "cutlass/epilogue/collective/collective_builder.hpp"

#include "cutlass/epilogue/thread/activation.h"
#include "../../common/cutlass_unit_test.h"

#include "gemm_testbed_3x.hpp"

using namespace cute;

#if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)

TEST(SM100_Device_Gemm_e5m2t_e4m3n_e4m3t_tensorop_1sm_f32_runtime_datatype_align8, 64x128x128_1x1x1) {
  using MmaTileShape = Shape<_64,_128,_128>;
  using ClusterShape = Shape<_1,_1,_1>;
  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm100, cutlass::arch::OpClassTensorOp,
      MmaTileShape, ClusterShape,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      cutlass::float_e4m3_t, cutlass::layout::RowMajor, 8,
      cutlass::float_e4m3_t, cutlass::layout::RowMajor, 8,
      cutlass::epilogue::NoSmemWarpSpecialized1Sm
    >::CollectiveOp;

  using CollectiveMainloop =
    typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm100, cutlass::arch::OpClassTensorOp,
      cutlass::type_erased_dynamic_float8_t, cutlass::layout::RowMajor, 8,
      cutlass::type_erased_dynamic_float8_t, cutlass::layout::ColumnMajor, 8,
      float,
      MmaTileShape, ClusterShape,
      cutlass::gemm::collective::StageCountAutoCarveout<sizeof(typename CollectiveEpilogue::SharedStorage)>,
    cutlass::gemm::collective::KernelScheduleAuto
    >::CollectiveOp;

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

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

  auto pass = TestRuntimeDataTypeSmall<Gemm, cute::UMMA::MXF8F6F4Format, cute::UMMA::MXF8F6F4Format, true>(cute::UMMA::MXF8F6F4Format::E5M2, cute::UMMA::MXF8F6F4Format::E4M3);
  EXPECT_TRUE(pass);

}

TEST(SM100_Device_Gemm_e5m2t_e4m3n_e4m3t_tensorop_1sm_f32_runtime_datatype_align8, 128x128x128_1x1x1) {
  using MmaTileShape = Shape<_128,_128,_128>;
  using ClusterShape = Shape<_1,_1,_1>;
  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm100, cutlass::arch::OpClassTensorOp,
      MmaTileShape, ClusterShape,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      cutlass::float_e4m3_t, cutlass::layout::RowMajor, 8,
      cutlass::float_e4m3_t, cutlass::layout::RowMajor, 8,
      cutlass::epilogue::NoSmemWarpSpecialized1Sm
    >::CollectiveOp;

  using CollectiveMainloop =
    typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm100, cutlass::arch::OpClassTensorOp,
      cutlass::type_erased_dynamic_float8_t, cutlass::layout::RowMajor, 8,
      cutlass::type_erased_dynamic_float8_t, cutlass::layout::ColumnMajor, 8,
      float,
      MmaTileShape, ClusterShape,
      cutlass::gemm::collective::StageCountAutoCarveout<sizeof(typename CollectiveEpilogue::SharedStorage)>,
    cutlass::gemm::collective::KernelScheduleAuto
    >::CollectiveOp;

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

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

  auto pass = TestRuntimeDataTypeSmall<Gemm, cute::UMMA::MXF8F6F4Format, cute::UMMA::MXF8F6F4Format, true>(cute::UMMA::MXF8F6F4Format::E5M2, cute::UMMA::MXF8F6F4Format::E4M3);
  EXPECT_TRUE(pass);

}

TEST(SM100_Device_Gemm_e5m2t_e4m3n_e4m3t_tensorop_1sm_f32_runtime_datatype_align4, 64x128x128_1x1x1) {
  using MmaTileShape = Shape<_64,_128,_128>;
  using ClusterShape = Shape<_1,_1,_1>;
  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm100, cutlass::arch::OpClassTensorOp,
      MmaTileShape, ClusterShape,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      cutlass::float_e4m3_t, cutlass::layout::RowMajor, 4,
      cutlass::float_e4m3_t, cutlass::layout::RowMajor, 4,
      cutlass::epilogue::NoSmemWarpSpecialized1Sm
    >::CollectiveOp;

  using CollectiveMainloop =
    typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm100, cutlass::arch::OpClassTensorOp,
      cutlass::type_erased_dynamic_float8_t, cutlass::layout::RowMajor, 4,
      cutlass::type_erased_dynamic_float8_t, cutlass::layout::ColumnMajor, 4,
      float,
      MmaTileShape, ClusterShape,
      cutlass::gemm::collective::StageCountAutoCarveout<sizeof(typename CollectiveEpilogue::SharedStorage)>,
    cutlass::gemm::collective::KernelScheduleAuto
    >::CollectiveOp;

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

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

  auto pass = TestRuntimeDataTypeSmall<Gemm, cute::UMMA::MXF8F6F4Format, cute::UMMA::MXF8F6F4Format, true>(cute::UMMA::MXF8F6F4Format::E5M2, cute::UMMA::MXF8F6F4Format::E4M3);
  EXPECT_TRUE(pass);

}

TEST(SM100_Device_Gemm_e5m2t_e4m3n_e4m3t_tensorop_1sm_f32_runtime_datatype_align4, 128x128x128_1x1x1) {
  using MmaTileShape = Shape<_128,_128,_128>;
  using ClusterShape = Shape<_1,_1,_1>;
  using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
      cutlass::arch::Sm100, cutlass::arch::OpClassTensorOp,
      MmaTileShape, ClusterShape,
      cutlass::epilogue::collective::EpilogueTileAuto,
      float, float,
      cutlass::float_e4m3_t, cutlass::layout::RowMajor, 4,
      cutlass::float_e4m3_t, cutlass::layout::RowMajor, 4,
      cutlass::epilogue::NoSmemWarpSpecialized1Sm
    >::CollectiveOp;

  using CollectiveMainloop =
    typename cutlass::gemm::collective::CollectiveBuilder<
      cutlass::arch::Sm100, cutlass::arch::OpClassTensorOp,
      cutlass::type_erased_dynamic_float8_t, cutlass::layout::RowMajor, 4,
      cutlass::type_erased_dynamic_float8_t, cutlass::layout::ColumnMajor, 4,
      float,
      MmaTileShape, ClusterShape,
      cutlass::gemm::collective::StageCountAutoCarveout<sizeof(typename CollectiveEpilogue::SharedStorage)>,
    cutlass::gemm::collective::KernelScheduleAuto
    >::CollectiveOp;

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

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

  auto pass = TestRuntimeDataTypeSmall<Gemm, cute::UMMA::MXF8F6F4Format, cute::UMMA::MXF8F6F4Format, true>(cute::UMMA::MXF8F6F4Format::E5M2, cute::UMMA::MXF8F6F4Format::E4M3);
  EXPECT_TRUE(pass);

}

#endif // #if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
