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/*! \file
    \brief Tests for device-wide GEMM interface with:
        A: row major, of type FE4M4 or FE5M2
        B: column major, of type FE4M3 or FE5M2
        C: row major, of type F32
        Accum: F32
*/

#include <iostream>

#include "../../common/cutlass_unit_test.h"
#include "cutlass/cutlass.h"
#include "cutlass/gemm/device/gemm.h"
#include "cutlass/util/host_tensor.h"
#include "cutlass/util/reference/host/gemm.h"
#include "cutlass/util/reference/host/tensor_compare.h"
#include "cutlass/util/reference/host/tensor_copy.h"
#include "cutlass/util/reference/host/tensor_fill.h"
#include "cutlass/util/tensor_view_io.h"

#include "testbed.h"

#if defined(CUTLASS_ARCH_MMA_F32_SM89_SUPPORTED)

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

TEST(SM89_Device_Gemm_fe4m3t_fe4m3n_f32t_tensor_op_f32, 128x256x64_64x64x64) {
  using ElementA = cutlass::float_e4m3_t;
  using ElementB = cutlass::float_e4m3_t;
  using ElementOutput = float;
  using ElementAccumulator = float;
  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  static int const kStages = 3;

  using Gemm = cutlass::gemm::device::Gemm<
      ElementA, LayoutA, ElementB, LayoutB, ElementOutput, LayoutC,
      ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm89,
      cutlass::gemm::GemmShape<128, 256, 64>, cutlass::gemm::GemmShape<64, 64, 64>, cutlass::gemm::GemmShape<16, 8, 32>,
      cutlass::epilogue::thread::LinearCombination<
          ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
          ElementAccumulator, ElementAccumulator>,
      cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, kStages>;

  EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}

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

TEST(SM89_Device_Gemm_fe4m3t_fe5m2n_f32t_tensor_op_f32, 128x256x64_64x64x64) {
  using ElementA = cutlass::float_e4m3_t;
  using ElementB = cutlass::float_e5m2_t;
  using ElementOutput = float;
  using ElementAccumulator = float;
  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  static int const kStages = 3;

  using Gemm = cutlass::gemm::device::Gemm<
      ElementA, LayoutA, ElementB, LayoutB, ElementOutput, LayoutC,
      ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm89,
      cutlass::gemm::GemmShape<128, 256, 64>, cutlass::gemm::GemmShape<64, 64, 64>, cutlass::gemm::GemmShape<16, 8, 32>,
      cutlass::epilogue::thread::LinearCombination<
          ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
          ElementAccumulator, ElementAccumulator>,
      cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, kStages>;

  EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}

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

TEST(SM89_Device_Gemm_fe5m2t_fe4m3n_f32t_tensor_op_f32, 128x256x64_64x64x64) {
  using ElementA = cutlass::float_e5m2_t;
  using ElementB = cutlass::float_e4m3_t;
  using ElementOutput = float;
  using ElementAccumulator = float;
  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  static int const kStages = 3;

  using Gemm = cutlass::gemm::device::Gemm<
      ElementA, LayoutA, ElementB, LayoutB, ElementOutput, LayoutC,
      ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm89,
      cutlass::gemm::GemmShape<128, 256, 64>, cutlass::gemm::GemmShape<64, 64, 64>, cutlass::gemm::GemmShape<16, 8, 32>,
      cutlass::epilogue::thread::LinearCombination<
          ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
          ElementAccumulator, ElementAccumulator>,
      cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, kStages>;

  EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}

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

TEST(SM89_Device_Gemm_fe5m2t_fe5m2n_f32t_tensor_op_f32, 128x256x64_64x64x64) {
  using ElementA = cutlass::float_e5m2_t;
  using ElementB = cutlass::float_e5m2_t;
  using ElementOutput = float;
  using ElementAccumulator = float;
  using LayoutA = cutlass::layout::RowMajor;
  using LayoutB = cutlass::layout::ColumnMajor;
  using LayoutC = cutlass::layout::RowMajor;
  static int const kStages = 3;

  using Gemm = cutlass::gemm::device::Gemm<
      ElementA, LayoutA, ElementB, LayoutB, ElementOutput, LayoutC,
      ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm89,
      cutlass::gemm::GemmShape<128, 256, 64>, cutlass::gemm::GemmShape<64, 64, 64>, cutlass::gemm::GemmShape<16, 8, 32>,
      cutlass::epilogue::thread::LinearCombination<
          ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
          ElementAccumulator, ElementAccumulator>,
      cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, kStages>;

  EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}

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

#endif  // CUTLASS_ARCH_MMA_F32_SM89_SUPPORTED
