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/*! \file
    \brief Unit tests for thread-level GEMM
*/
#include "cutlass/arch/wmma.h"

#ifdef CUTLASS_ARCH_WMMA_SM70_ENABLED
#include "mma_pipelined_testbed.h"
#include "cutlass/gemm/threadblock/default_mma_core_wmma.h"

/// All tests use single staged (kStages=1) mma pipeline for the gemm mainloop
/// Test name format: SM[arch]_gemm_threadblock_singlestage_wmma_[alayout]_[blayout]_[clayout]_[dtype].[threadblock_shape]_[warp_shape]

///////////////////////////////////////////////////////////////////////////////////////////////////////
///       WMMA Floating point (f16 accumulation) - Single stage - Threadblock level tests          ////
///////////////////////////////////////////////////////////////////////////////////////////////////////

TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f16, 64x64x32_64x64x32_16x16x16) {

  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = cutlass::half_t;
  using LayoutC = cutlass::layout::RowMajor;
  static const int kStages = 1; 

  cutlass::gemm::GemmCoord problem_size(64, 64, 32);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;

  float alpha = 1.f;
  float beta = 0.0f;

  // Define the MmaCore components
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, 
      ElementA, LayoutA,
      ElementB, LayoutB, 
      ElementC, LayoutC,
      cutlass::arch::OpClassWmmaTensorOp, kStages>;

  dim3 grid(1, 1);
  dim3 block(32, 1, 1);

  test::gemm::threadblock::Testbed<MmaCore, kStages>(problem_size.m(), problem_size.n(),
                                            problem_size.k(), alpha, beta)
      .run(grid, block);
}

TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f16, 128x128x32_64x64x32_16x16x16) {

  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = cutlass::half_t;
  using LayoutC = cutlass::layout::RowMajor;
  static const int kStages = 1; 

  cutlass::gemm::GemmCoord problem_size(128, 128, 64);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;

  float alpha = 1.f;
  float beta = 0.0f;

  // Define the MmaCore components
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, 
      ElementA, LayoutA,
      ElementB, LayoutB, 
      ElementC, LayoutC,
      cutlass::arch::OpClassWmmaTensorOp, kStages>;

  dim3 grid(1, 1);
  dim3 block(32, 4, 1);

  test::gemm::threadblock::Testbed<MmaCore, kStages>(problem_size.m(), problem_size.n(),
                                            problem_size.k(), alpha, beta)
      .run(grid, block);
}


TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f16, multicta_256x256x96_128x128x32_64x64x32_16x16x16) {

  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = cutlass::half_t;
  using LayoutC = cutlass::layout::RowMajor;
  static const int kStages = 1; 

  cutlass::gemm::GemmCoord problem_size(256, 256, 96);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;

  float alpha = 1.f;
  float beta = 0.0f;

  // Define the MmaCore components
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, 
      ElementA, LayoutA,
      ElementB, LayoutB, 
      ElementC, LayoutC,
      cutlass::arch::OpClassWmmaTensorOp, kStages>;

  dim3 grid(2, 2);
  dim3 block(32, 4, 1);

  test::gemm::threadblock::Testbed<MmaCore, kStages>(problem_size.m(), problem_size.n(),
                                            problem_size.k(), alpha, beta)
      .run(grid, block);
}

///////////////////////////////////////////////////////////////////////////////
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
/// wmma.mma.sync.aligned.row.col.m32n8k16.f16.f16 (wmma native size 32x8x16)
///////////////////////////////////////////////////////////////////////////////
TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f16, 64x64x32_64x64x32_32x8x16) {

  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = cutlass::half_t;
  using LayoutC = cutlass::layout::RowMajor;
  static const int kStages = 1; 

  cutlass::gemm::GemmCoord problem_size(64, 64, 128);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<32, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;

  // Define the MmaCore components
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, 
      ElementA, LayoutA,
      ElementB, LayoutB, 
      ElementC, LayoutC,
      cutlass::arch::OpClassWmmaTensorOp, kStages>;

  dim3 grid(1, 1);
  dim3 block(32, 1, 1);

  test::gemm::threadblock::Testbed<MmaCore, kStages>(problem_size.m(), problem_size.n(),
                                            problem_size.k(), alpha, beta)
      .run(grid, block);
}

//////////////////////////////////////////////////////////////////////////////
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
/// wmma.mma.sync.aligned.row.col.m8n32k16.f16.f16  (wmma native size 8x32x16)
//////////////////////////////////////////////////////////////////////////////
TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f16, 64x64x32_64x64x32_8x32x16) {

  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = cutlass::half_t;
  using LayoutC = cutlass::layout::RowMajor;
  static const int kStages = 1;   

  cutlass::gemm::GemmCoord problem_size(64, 64, 128);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<8, 32, 16>;

  float alpha = 1.f;
  float beta = 0.0f;

  // Define the MmaCore components
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, 
      ElementA, LayoutA,
      ElementB, LayoutB, 
      ElementC, LayoutC,
      cutlass::arch::OpClassWmmaTensorOp, kStages>;

  dim3 grid(1, 1);
  dim3 block(32, 1, 1);

  test::gemm::threadblock::Testbed<MmaCore, kStages>(problem_size.m(), problem_size.n(),
                                            problem_size.k(), alpha, beta)
      .run(grid, block);
}


///////////////////////////////////////////////////////////////////////////////////////////////////////
///       WMMA Floating point (f32 accumulation) - Single stage - Threadblock level tests          ////
///////////////////////////////////////////////////////////////////////////////////////////////////////

//////////////////////////////////////////////////////////////////////////////////
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
/// wmma.mma.sync.aligned.row.col.m16n16k16.f32.f32   (wmma native size 16x16x16)
//////////////////////////////////////////////////////////////////////////////////
TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f32, 64x64x32_64x64x32_16x16x16) {

  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::RowMajor;
  static const int kStages = 1; 

  cutlass::gemm::GemmCoord problem_size(64, 64, 128);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;

  float alpha = 1.f;
  float beta = 0.0f;

  // Define the MmaCore components
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, 
      ElementA, LayoutA,
      ElementB, LayoutB, 
      ElementC, LayoutC,
      cutlass::arch::OpClassWmmaTensorOp, kStages>;

  dim3 grid(1, 1);
  dim3 block(32, 1, 1);

  test::gemm::threadblock::Testbed<MmaCore, kStages>(problem_size.m(), problem_size.n(),
                                            problem_size.k(), alpha, beta)
      .run(grid, block);
}

TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f32, 128x128x32_64x64x32_16x16x16) {

  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::RowMajor;
  static const int kStages = 1;   

  cutlass::gemm::GemmCoord problem_size(128, 128, 128);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;

  float alpha = 1.f;
  float beta = 0.0f;

  // Define the MmaCore components
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, 
      ElementA, LayoutA,
      ElementB, LayoutB, 
      ElementC, LayoutC,
      cutlass::arch::OpClassWmmaTensorOp, kStages>;

  dim3 grid(1, 1);
  dim3 block(32, 4, 1);

  test::gemm::threadblock::Testbed<MmaCore, kStages>(problem_size.m(), problem_size.n(),
                                            problem_size.k(), alpha, beta)
      .run(grid, block);
}

TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f32, multicta_256x256x96_128x128x32_64x64x32_16x16x16) {

  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::RowMajor;
  static const int kStages = 1;   

  cutlass::gemm::GemmCoord problem_size(256, 256, 96);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 16, 16>;

  float alpha = 1.f;
  float beta = 0.0f;

  // Define the MmaCore components
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
      ElementB, LayoutB, ElementC, LayoutC,
      cutlass::arch::OpClassWmmaTensorOp, kStages>;

  dim3 grid(2, 2);
  dim3 block(32, 4, 1);

  test::gemm::threadblock::Testbed<MmaCore, kStages>(problem_size.m(), problem_size.n(),
                                            problem_size.k(), alpha, beta)
      .run(grid, block);
}

///////////////////////////////////////////////////////////
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
/// wmma.mma.sync.aligned.row.col.m32n8k16.f32.f32   (wmma native size 32x8x16)
////////////////////////////////////////////////////////////
TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f32, 64x64x32_64x64x32_32x8x16) {

  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::RowMajor;
  static const int kStages = 1;

  cutlass::gemm::GemmCoord problem_size(64, 64, 128);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<32, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;

  // Define the MmaCore components
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
      ElementB, LayoutB, ElementC, LayoutC,
      cutlass::arch::OpClassWmmaTensorOp, kStages>;

  dim3 grid(1, 1);
  dim3 block(32, 1, 1);

  test::gemm::threadblock::Testbed<MmaCore, kStages>(problem_size.m(), problem_size.n(),
                                            problem_size.k(), alpha, beta)
      .run(grid, block);
}

/////////////////////////////////////////////////////////////////////////////////
/// wmma.mma.sync.aligned.alayout.blayout.shape.dtype.ctype
/// wmma.mma.sync.aligned.row.col.m8n32k16.f32.f32   (wmma native size 8x32x16)
/////////////////////////////////////////////////////////////////////////////////
TEST(SM70_gemm_threadblock_singlestage_wmma_tensor_op_row_col_row_f32, 64x64x32_64x64x32_8x32x16) {

  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::RowMajor;
  static const int kStages = 1; 

  cutlass::gemm::GemmCoord problem_size(64, 64, 128);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<8, 32, 16>;

  float alpha = 1.f;
  float beta = 0.0f;

  // Define the MmaCore components
  using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
      ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
      ElementB, LayoutB, ElementC, LayoutC,
      cutlass::arch::OpClassWmmaTensorOp, kStages>;

  dim3 grid(1, 1);
  dim3 block(32, 1, 1);

  test::gemm::threadblock::Testbed<MmaCore, kStages>(problem_size.m(), problem_size.n(),
                                            problem_size.k(), alpha, beta)
      .run(grid, block);
}

#endif //CUTLASS_ARCH_WMMA_SM70_ENABLED
