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

#include "cutlass/arch/wmma.h"

#ifdef CUTLASS_ARCH_WMMA_SM70_ENABLED
#include <iostream>

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

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

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

#include "testbed.h"

/////////////////////////////////////////////////////////////////////////////////////////////////
///////// WMMA Instruction Shape = 16x16x16, DataType/Instruction = F16*F16+F32=>F32   //////////
/////////////////////////////////////////////////////////////////////////////////////////////////  
TEST(SM70_Device_Gemm_f16n_f16n_f32t_wmma_tensor_op_f32, 64x64x32_64x64x32_16x16x16) {

  using ElementOutput = float;
  using ElementAccumulator = float;

  using Gemm = cutlass::gemm::device::Gemm<
    cutlass::half_t,
    cutlass::layout::RowMajor,
    cutlass::half_t,
    cutlass::layout::RowMajor,
    ElementOutput,
    cutlass::layout::RowMajor,
    ElementAccumulator,
    cutlass::arch::OpClassWmmaTensorOp,
    cutlass::arch::Sm70,
    cutlass::gemm::GemmShape<64, 64, 32>,
    cutlass::gemm::GemmShape<64, 64, 32>,
    cutlass::gemm::GemmShape<16, 16, 16>,
    cutlass::epilogue::thread::LinearCombination<
      ElementOutput,
      128 / cutlass::sizeof_bits<ElementOutput>::value,
      ElementAccumulator,
      ElementAccumulator
    >,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    2
  >;

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

TEST(SM70_Device_Gemm_f16n_f16n_f32t_wmma_tensor_op_f32, 128x128x32_64x64x32_16x16x16) {

  using ElementOutput = float;
  using ElementAccumulator = float;

  using Gemm = cutlass::gemm::device::Gemm<
    cutlass::half_t,
    cutlass::layout::RowMajor,
    cutlass::half_t,
    cutlass::layout::RowMajor,
    ElementOutput,
    cutlass::layout::RowMajor,
    ElementAccumulator,
    cutlass::arch::OpClassWmmaTensorOp,
    cutlass::arch::Sm70,
    cutlass::gemm::GemmShape<128, 128, 32>,
    cutlass::gemm::GemmShape<64, 64, 32>,
    cutlass::gemm::GemmShape<16, 16, 16>,
    cutlass::epilogue::thread::LinearCombination<
      ElementOutput,
      128 / cutlass::sizeof_bits<ElementOutput>::value,
      ElementAccumulator,
      ElementAccumulator
    >,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    2
  >;

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

TEST(SM70_Device_Gemm_f16n_f16n_f32t_wmma_tensor_op_f32, 128x256x32_64x64x32_16x16x16) {

  using ElementOutput = float;
  using ElementAccumulator = float;

  using Gemm = cutlass::gemm::device::Gemm<
    cutlass::half_t,
    cutlass::layout::RowMajor,
    cutlass::half_t,
    cutlass::layout::RowMajor,
    ElementOutput,
    cutlass::layout::RowMajor,
    ElementAccumulator,
    cutlass::arch::OpClassWmmaTensorOp,
    cutlass::arch::Sm70,
    cutlass::gemm::GemmShape<128, 256, 32>,
    cutlass::gemm::GemmShape<64, 64, 32>,
    cutlass::gemm::GemmShape<16, 16, 16>,
    cutlass::epilogue::thread::LinearCombination<
      ElementOutput,
      128 / cutlass::sizeof_bits<ElementOutput>::value,
      ElementAccumulator,
      ElementAccumulator
    >,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    2
  >;

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

TEST(SM70_Device_Gemm_f16n_f16n_f32t_wmma_tensor_op_f32, 256x128x32_64x64x32_16x16x16) {

  using ElementOutput = float;
  using ElementAccumulator = float;

  using Gemm = cutlass::gemm::device::Gemm<
    cutlass::half_t,
    cutlass::layout::RowMajor,
    cutlass::half_t,
    cutlass::layout::RowMajor,
    ElementOutput,
    cutlass::layout::RowMajor,
    ElementAccumulator,
    cutlass::arch::OpClassWmmaTensorOp,
    cutlass::arch::Sm70,
    cutlass::gemm::GemmShape<256, 128, 32>,
    cutlass::gemm::GemmShape<64, 64, 32>,
    cutlass::gemm::GemmShape<16, 16, 16>,
    cutlass::epilogue::thread::LinearCombination<
      ElementOutput,
      128 / cutlass::sizeof_bits<ElementOutput>::value,
      ElementAccumulator,
      ElementAccumulator
    >,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    2
  >;

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

TEST(SM70_Device_Gemm_f16n_f16n_f32t_wmma_tensor_op_f32, 128x64x32_64x32x32_16x16x16) {

  using ElementOutput = float;
  using ElementAccumulator = float;

  using Gemm = cutlass::gemm::device::Gemm<
    cutlass::half_t,
    cutlass::layout::RowMajor,
    cutlass::half_t,
    cutlass::layout::RowMajor,
    ElementOutput,
    cutlass::layout::RowMajor,
    ElementAccumulator,
    cutlass::arch::OpClassWmmaTensorOp,
    cutlass::arch::Sm70,
    cutlass::gemm::GemmShape<128, 64, 32>,
    cutlass::gemm::GemmShape<64, 32, 32>,
    cutlass::gemm::GemmShape<16, 16, 16>,
    cutlass::epilogue::thread::LinearCombination<
      ElementOutput,
      128 / cutlass::sizeof_bits<ElementOutput>::value,
      ElementAccumulator,
      ElementAccumulator
    >,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    2
  >;

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

TEST(SM70_Device_Gemm_f16n_f16n_f32t_wmma_tensor_op_f32, 64x128x32_64x32x32_16x16x16) {

  using ElementOutput = float;
  using ElementAccumulator = float;

  using Gemm = cutlass::gemm::device::Gemm<
    cutlass::half_t,
    cutlass::layout::RowMajor,
    cutlass::half_t,
    cutlass::layout::RowMajor,
    ElementOutput,
    cutlass::layout::RowMajor,
    ElementAccumulator,
    cutlass::arch::OpClassWmmaTensorOp,
    cutlass::arch::Sm70,
    cutlass::gemm::GemmShape<64, 128, 32>,
    cutlass::gemm::GemmShape<64, 32, 32>,
    cutlass::gemm::GemmShape<16, 16, 16>,
    cutlass::epilogue::thread::LinearCombination<
      ElementOutput,
      128 / cutlass::sizeof_bits<ElementOutput>::value,
      ElementAccumulator,
      ElementAccumulator
    >,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    2
  >;

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

TEST(SM70_Device_Gemm_f16n_f16n_f32t_wmma_tensor_op_f32, 64x64x32_32x32x32_16x16x16) {

  using ElementOutput = float;
  using ElementAccumulator = float;

  using Gemm = cutlass::gemm::device::Gemm<
    cutlass::half_t,
    cutlass::layout::RowMajor,
    cutlass::half_t,
    cutlass::layout::RowMajor,
    ElementOutput,
    cutlass::layout::RowMajor,
    ElementAccumulator,
    cutlass::arch::OpClassWmmaTensorOp,
    cutlass::arch::Sm70,
    cutlass::gemm::GemmShape<64, 64, 32>,
    cutlass::gemm::GemmShape<32, 32, 32>,
    cutlass::gemm::GemmShape<16, 16, 16>,
    cutlass::epilogue::thread::LinearCombination<
      ElementOutput,
      128 / cutlass::sizeof_bits<ElementOutput>::value,
      ElementAccumulator,
      ElementAccumulator
    >,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    2
  >;

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


/////////////////////////////////////////////////////////////////////////////////////////////////
///////// WMMA Instruction Shape = 32x8x16, DataType/Instruction = F16*F16+F32=>F32   //////////
/////////////////////////////////////////////////////////////////////////////////////////////////  
TEST(SM70_Device_Gemm_f16n_f16n_f32t_wmma_tensor_op_f32, 128x128x32_64x64x32_32x8x16) {

  using ElementOutput = float;
  using ElementAccumulator = float;

  using Gemm = cutlass::gemm::device::Gemm<
    cutlass::half_t,
    cutlass::layout::RowMajor,
    cutlass::half_t,
    cutlass::layout::RowMajor,
    ElementOutput,
    cutlass::layout::RowMajor,
    ElementAccumulator,
    cutlass::arch::OpClassWmmaTensorOp,
    cutlass::arch::Sm70,
    cutlass::gemm::GemmShape<128, 128, 32>,
    cutlass::gemm::GemmShape<64, 64, 32>,
    cutlass::gemm::GemmShape<32, 8, 16>,
    cutlass::epilogue::thread::LinearCombination<
      ElementOutput,
      128 / cutlass::sizeof_bits<ElementOutput>::value,
      ElementAccumulator,
      ElementAccumulator
    >,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    2
  >;

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

/////////////////////////////////////////////////////////////////////////////////////////////////
///////// WMMA Instruction Shape = 8x32x16, DataType/Instruction = F16*F16+F32=>F32   //////////
/////////////////////////////////////////////////////////////////////////////////////////////////  
TEST(SM70_Device_Gemm_f16n_f16n_f32t_wmma_tensor_op_f32, 128x128x32_64x64x32_8x32x16) {

  using ElementOutput = float;
  using ElementAccumulator = float;

  using Gemm = cutlass::gemm::device::Gemm<
    cutlass::half_t,
    cutlass::layout::RowMajor,
    cutlass::half_t,
    cutlass::layout::RowMajor,
    ElementOutput,
    cutlass::layout::RowMajor,
    ElementAccumulator,
    cutlass::arch::OpClassWmmaTensorOp,
    cutlass::arch::Sm70,
    cutlass::gemm::GemmShape<128, 128, 32>,
    cutlass::gemm::GemmShape<64, 64, 32>,
    cutlass::gemm::GemmShape<8, 32, 16>,
    cutlass::epilogue::thread::LinearCombination<
      ElementOutput,
      128 / cutlass::sizeof_bits<ElementOutput>::value,
      ElementAccumulator,
      ElementAccumulator
    >,
    cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
    2
  >;

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

#endif  // CUTLASS_ARCH_WMMA_SM70_ENABLED
