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

#include "mma_multistage_sparse_testbed.h"

#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_SUPPORTED)

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_64x64x64_64x64x64_16x8x32_4stage) {
  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 512);

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

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_64x64x64_32x32x64_16x8x32_4stage) {
  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 512);

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

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_128x64x64_64x32x64_16x8x32_4stage) {
  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 64, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_64x128x64_32x64x64_16x8x32_4stage) {
  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 128, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_128x128x64_64x64x64_16x8x32_4stage) {
  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 128, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     multicta_256x256x768_128x128x64_64x64x64_16x8x32_4stage) {
  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(256, 256, 768);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     multicta_512x256x768_256x128x64_64x64x64_16x8x32_4stage) {
  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(512, 256, 768);

  using ThreadblockShape = cutlass::gemm::GemmShape<256, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

  dim3 grid(2, 2);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x64_64x64x64_16x8x32_4stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 512);

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

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x64_32x32x64_16x8x32_4stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 512);

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

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x64x64_64x32x64_16x8x32_4stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 64, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x128x64_32x64x64_16x8x32_4stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 128, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x128x64_64x64x64_16x8x32_4stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 128, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     multicta_256x256x768_128x128x64_64x64x64_16x8x32_4stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(256, 256, 768);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     multicta_512x256x768_256x128x64_64x64x64_16x8x32_4stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(512, 256, 768);

  using ThreadblockShape = cutlass::gemm::GemmShape<256, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

  dim3 grid(2, 2);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_64x64x128_64x64x128_16x8x32_3stage) {
  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_128x64x128_64x32x128_16x8x32_3stage) {
  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 64, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_64x128x128_32x64x128_16x8x32_3stage) {
  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 128, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 128>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_128x128x128_64x32x128_16x8x32_3stage) {
  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 128, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

  dim3 grid(1, 1);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     multicta_256x256x768_128x128x128_64x32x128_16x8x32_3stage) {
  using ElementA = cutlass::half_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::half_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(256, 256, 768);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

  dim3 grid(2, 2);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x128_64x64x128_16x8x32_3stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x128_32x32x128_16x8x32_3stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 128>;
  using WarpShape = cutlass::gemm::GemmShape<32, 32, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x64x128_64x32x128_16x8x32_3stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 64, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x128x128_32x64x128_16x8x32_3stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 128, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 128>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x128x128_64x32x128_16x8x32_3stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 128, 512);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

  dim3 grid(1, 1);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     multicta_256x256x768_128x128x128_64x32x128_16x8x32_3stage) {
  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::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(256, 256, 768);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

  dim3 grid(2, 2);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_64x64x32_64x64x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 256);

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

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_64x64x32_32x32x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 256);

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

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_128x64x32_64x32x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 64, 256);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_64x128x32_32x64x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 128, 256);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 32>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_128x128x32_64x64x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 128, 256);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     multicta_256x256x384_128x128x32_64x64x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(256, 256, 384);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     multicta_512x256x384_256x128x32_64x64x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(512, 256, 384);

  using ThreadblockShape = cutlass::gemm::GemmShape<256, 128, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

  dim3 grid(2, 2);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x32_64x64x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 256);

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

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x32_32x32x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 256);

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

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x64x32_64x32x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 64, 256);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x128x32_32x64x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 128, 256);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 32>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x128x32_64x64x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 128, 256);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     multicta_256x256x384_128x128x32_64x64x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(256, 256, 384);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     multicta_512x256x384_256x128x32_64x64x32_16x8x16_4stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(512, 256, 384);

  using ThreadblockShape = cutlass::gemm::GemmShape<256, 128, 32>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

  dim3 grid(2, 2);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_64x64x64_64x64x64_16x8x16_3stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 256);

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

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_128x64x64_64x32x64_16x8x16_3stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 64, 256);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_64x128x64_32x64x64_16x8x16_3stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 128, 256);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     tensor_op_128x128x64_64x32x64_16x8x16_3stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 128, 256);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

  dim3 grid(1, 1);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_congruous,
     multicta_256x256x384_128x128x64_64x32x64_16x8x16_3stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::ColumnMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::RowMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(256, 256, 384);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

  dim3 grid(2, 2);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x64_64x64x64_16x8x16_3stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 256);

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

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x64_32x32x64_16x8x16_3stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 256);

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

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x64x64_64x32x64_16x8x16_3stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 64, 256);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x128x64_32x64x64_16x8x16_3stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 128, 256);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x128x64_64x32x64_16x8x16_3stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 128, 256);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

  dim3 grid(1, 1);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     multicta_256x256x384_128x128x64_64x32x64_16x8x16_3stage) {
  using ElementA = cutlass::tfloat32_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::tfloat32_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = float;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(256, 256, 384);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 64>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 64>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

  dim3 grid(2, 2);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x128_64x64x128_16x8x64_4stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 1024);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x128_32x32x128_16x8x64_4stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 1024);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 128>;
  using WarpShape = cutlass::gemm::GemmShape<32, 32, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x64x128_64x32x128_16x8x64_4stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 64, 1024);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x128x128_32x64x128_16x8x64_4stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 128, 1024);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 128>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x128x128_64x64x128_16x8x64_4stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 128, 1024);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     multicta_256x256x1536_128x128x128_64x64x128_16x8x64_4stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(256, 256, 1536);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     multicta_512x256x1536_256x128x128_64x64x128_16x8x64_4stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(512, 256, 1536);

  using ThreadblockShape = cutlass::gemm::GemmShape<256, 128, 128>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 128>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

  dim3 grid(2, 2);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x256_64x64x256_16x8x64_3stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 1024);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 256>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x256_32x32x256_16x8x64_3stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 1024);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 256>;
  using WarpShape = cutlass::gemm::GemmShape<32, 32, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x64x256_64x32x256_16x8x64_3stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 64, 1024);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 256>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x128x256_32x64x256_16x8x64_3stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 128, 1024);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 256>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x128x256_64x32x256_16x8x64_3stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 128, 1024);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 256>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

  dim3 grid(1, 1);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     multicta_256x256x1536_128x128x256_64x32x256_16x8x64_3stage) {
  using ElementA = int8_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = int8_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(256, 256, 1536);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 256>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

  dim3 grid(2, 2);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x256_64x64x256_16x8x128_4stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 2048);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 256>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x256_32x32x256_16x8x128_4stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 2048);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 256>;
  using WarpShape = cutlass::gemm::GemmShape<32, 32, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x64x256_64x32x256_16x8x128_4stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 64, 2048);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 256>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x128x256_32x64x256_16x8x128_4stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 128, 2048);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 256>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x128x256_64x64x256_16x8x128_4stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 128, 2048);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 256>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     multicta_256x256x3072_128x128x256_64x64x256_16x8x128_4stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(256, 256, 3072);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 256>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     multicta_512x256x3072_256x128x256_64x64x256_16x8x128_4stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(512, 256, 3072);

  using ThreadblockShape = cutlass::gemm::GemmShape<256, 128, 256>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 256>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 4;

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

  dim3 grid(2, 2);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x512_64x64x512_16x8x128_3stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 2048);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 512>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 512>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x64x512_32x32x512_16x8x128_3stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 64, 2048);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 512>;
  using WarpShape = cutlass::gemm::GemmShape<32, 32, 512>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x64x512_64x32x512_16x8x128_3stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 64, 2048);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 512>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 512>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_64x128x512_32x64x512_16x8x128_3stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(64, 128, 2048);

  using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 512>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 512>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

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

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     tensor_op_128x128x512_64x32x512_16x8x128_3stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(128, 128, 2048);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 512>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 512>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

  dim3 grid(1, 1);
  dim3 block(32, 8, 1);

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

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

TEST(SM80_sparse_gemm_threadblock_crosswise,
     multicta_256x256x3072_128x128x512_64x32x512_16x8x128_3stage) {
  using ElementA = cutlass::int4b_t;
  using LayoutA = cutlass::layout::RowMajor;
  using ElementB = cutlass::int4b_t;
  using LayoutB = cutlass::layout::ColumnMajor;
  using ElementC = int32_t;
  using LayoutC = cutlass::layout::ColumnMajor;

  cutlass::gemm::GemmCoord problem_size(256, 256, 3072);

  using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 512>;
  using WarpShape = cutlass::gemm::GemmShape<64, 32, 512>;
  using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;

  float alpha = 1.f;
  float beta = 0.0f;
  int const Stages = 3;

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

  dim3 grid(2, 2);
  dim3 block(32, 8, 1);

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

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

#endif  // #if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_SUPPORTED)

