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/*! \file 
    \brief Unit tests for thread-level GEMM
*/

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

#include "cutlass/aligned_buffer.h"
#include "cutlass/half.h"

#include "cutlass/gemm/warp/default_mma_tensor_op.h"

#include "cutlass/core_io.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_compare.h"
#include "cutlass/util/reference/host/gemm.h"

#include "testbed.h"

#if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)


////////////////////////////////////////////////////////////////////////////////
/// F32 <= F16 * I8 + F32 (Upcast on Operand B)
////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_mixed_input_tensor_op_crosswise_f16_i8, 128x128x64_64x64x64_16x8x16) {
  using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
  using ElementA = cutlass::half_t;
  using ElementB = int8_t;
  using ElementC = float;
  using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementA>::value, 64>;
  using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementB>::value, 64>;

  using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
      Shape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementC,
      cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddMixedInputUpcast>::Type;

  test::gemm::warp::TransformTestbed<MmaTensorOp,
                            cutlass::gemm::GemmShape<128, 128, 64> >()
      .run();
}

TEST(SM80_warp_gemm_mixed_input_tensor_op_crosswise_f16_i8, 64x64x64_64x64x64_16x8x16) {
  using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
  using ElementA = cutlass::half_t;
  using ElementB = int8_t;
  using ElementC = float;
  using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementA>::value, 64>;
  using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementB>::value, 64>;

  using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
      Shape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementC,
      cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddMixedInputUpcast>::Type;

  test::gemm::warp::TransformTestbed<MmaTensorOp,
                            cutlass::gemm::GemmShape<64, 64, 64> >()
      .run();
}

////////////////////////////////////////////////////////////////////////////////
/// F32 <= I8 * F16 + F32 (Upcast on Operand A)
////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_mixed_input_tensor_op_crosswise_i8_f16, 128x128x64_64x64x64_16x8x16) {
  using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
  using ElementA = int8_t;
  using ElementB = cutlass::half_t;;
  using ElementC = float;
  using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementA>::value, 64>;
  using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementB>::value, 64>;

  using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
      Shape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementC,
      cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddMixedInputUpcast>::Type;

  test::gemm::warp::TransformTestbed<MmaTensorOp,
                            cutlass::gemm::GemmShape<128, 128, 64> >()
      .run();
}

TEST(SM80_warp_gemm_mixed_input_tensor_op_crosswise_i8_f16, 64x64x64_64x64x64_16x8x16) {
  using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
  using ElementA = int8_t;
  using ElementB = cutlass::half_t;
  using ElementC = float;
  using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementA>::value, 64>;
  using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementB>::value, 64>;

  using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
      Shape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementC,
      cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddMixedInputUpcast>::Type;

  test::gemm::warp::TransformTestbed<MmaTensorOp,
                            cutlass::gemm::GemmShape<64, 64, 64> >()
      .run();
}

////////////////////////////////////////////////////////////////////////////////
/// F32 <= F16 * U8 + F32 (Upcast on Operand B)
////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_mixed_input_tensor_op_crosswise_f16_u8, 64x64x64_64x64x64_16x8x16) {
  using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
  using ElementA = cutlass::half_t;
  using ElementB = uint8_t;
  using ElementC = float;
  using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementA>::value, 64>;
  using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementB>::value, 64>;

  using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
      Shape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementC,
      cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddMixedInputUpcast>::Type;

  test::gemm::warp::TransformTestbed<MmaTensorOp,
                            cutlass::gemm::GemmShape<64, 64, 64> >()
      .run();
}

TEST(SM80_warp_gemm_mixed_input_tensor_op_crosswise_f16_u8, 128x128x64_64x64x64_16x8x16) {
  using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
  using ElementA = cutlass::half_t;
  using ElementB = uint8_t;
  using ElementC = float;
  using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementA>::value, 64>;
  using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementB>::value, 64>;

  using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
      Shape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementC,
      cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddMixedInputUpcast>::Type;

  test::gemm::warp::TransformTestbed<MmaTensorOp,
                            cutlass::gemm::GemmShape<128, 128, 64> >()
      .run();
}

////////////////////////////////////////////////////////////////////////////////
/// F32 <= U8 * F16 + F32 (Upcast on Operand A)
////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_mixed_input_tensor_op_crosswise_u8_f16, 64x64x64_64x64x64_16x8x16) {
  using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
  using ElementA = uint8_t;
  using ElementB = cutlass::half_t;
  using ElementC = float;
  using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementA>::value, 64>;
  using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementB>::value, 64>;

  using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
      Shape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementC,
      cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddMixedInputUpcast>::Type;

  test::gemm::warp::TransformTestbed<MmaTensorOp,
                            cutlass::gemm::GemmShape<64, 64, 64> >()
      .run();
}

TEST(SM80_warp_gemm_mixed_input_tensor_op_crosswise_u8_f16, 128x128x64_64x64x64_16x8x16) {
  using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
  using ElementA = uint8_t;
  using ElementB = cutlass::half_t;
  using ElementC = float;
  using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementA>::value, 64>;
  using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementB>::value, 64>;

  using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
      Shape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementC,
      cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddMixedInputUpcast>::Type;

  test::gemm::warp::TransformTestbed<MmaTensorOp,
                            cutlass::gemm::GemmShape<128, 128, 64> >()
      .run();
}

////////////////////////////////////////////////////////////////////////////////
/// F32 <= B16 * U8 + F32 (Upcast on Operand B)
////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_mixed_input_tensor_op_crosswise_bf16_u8, 64x64x64_64x64x64_16x8x16) {
  using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
  using ElementA = cutlass::bfloat16_t;
  using ElementB = uint8_t;
  using ElementC = float;
  using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementA>::value, 64>;
  using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementB>::value, 64>;

  using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
      Shape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementC,
      cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddMixedInputUpcast>::Type;

  test::gemm::warp::TransformTestbed<MmaTensorOp,
                            cutlass::gemm::GemmShape<64, 64, 64> >()
      .run();
}

////////////////////////////////////////////////////////////////////////////////
/// F32 <= U8 * BF16 + F32 (Upcast on Operand A)
////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_mixed_input_tensor_op_crosswise_u8_bf16, 64x64x64_64x64x64_16x8x16) {
  using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
  using ElementA = uint8_t;
  using ElementB = cutlass::bfloat16_t;
  using ElementC = float;
  using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementA>::value, 64>;
  using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementB>::value, 64>;

  using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
      Shape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementC,
      cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddMixedInputUpcast>::Type;

  test::gemm::warp::TransformTestbed<MmaTensorOp,
                            cutlass::gemm::GemmShape<64, 64, 64> >()
      .run();
}

////////////////////////////////////////////////////////////////////////////////
/// F32 <= I8 * BF16 + F32 (Upcast on Operand A)
////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_mixed_input_tensor_op_crosswise_bf16_i8, 64x64x64_64x64x64_16x8x16) {
  using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
  using ElementA = cutlass::bfloat16_t;
  using ElementB = int8_t;
  using ElementC = float;
  using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementA>::value, 64>;
  using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementB>::value, 64>;

  using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
      Shape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementC,
      cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddMixedInputUpcast>::Type;

  test::gemm::warp::TransformTestbed<MmaTensorOp,
                            cutlass::gemm::GemmShape<64, 64, 64> >()
      .run();
}

////////////////////////////////////////////////////////////////////////////////
/// F32 <= B16 * I8 + F32 (Upcast on Operand B)
////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_mixed_input_tensor_op_crosswise_i8_bf16, 64x64x64_64x64x64_16x8x16) {
  using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
  using ElementA = int8_t;
  using ElementB = cutlass::bfloat16_t;
  using ElementC = float;
  using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementA>::value, 64>;
  using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
      cutlass::sizeof_bits<ElementB>::value, 64>;

  using MmaTensorOp = typename cutlass::gemm::warp::DefaultMmaTensorOp<
      Shape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementC,
      cutlass::layout::RowMajor, cutlass::arch::OpMultiplyAddMixedInputUpcast>::Type;

  test::gemm::warp::TransformTestbed<MmaTensorOp,
                            cutlass::gemm::GemmShape<64, 64, 64> >()
      .run();
}

#endif // if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)
