cutlass/tools/test/unit/gemm/splitK_igemm.cu

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#if (!defined(__CUDA_ARCH__) || (__CUDA_ARCH__ >= 610))

#include "cutlass_unit_test.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/igemm_traits.h"
#include "cutlass/reduction/batched_reduction_traits.h"
#include "tools/test/unit/gemm/gemm_testbed.h"
#include "tools/test/unit/gemm/run_gemm.h"


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

TEST(SplitK_igemm_128x128x32_splits16, igemm_128x256x512_nn) {
  const int splits_count = 16;
  const int m = 128;
  const int n = 256;
  const int k = 512;

  /*batched igemm traits*/
  typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kColumnMajor,
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
    IgemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<int,
    int,
    int,
    int,
    int, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<IgemmTraits, BatchedReductionTraits>(m, n, k, 2, 1, true /*use host reference*/);
}

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

TEST(SplitK_igemm_128x128x32_splits16, igemm_128x256x512_nt) {
  const int splits_count = 16;
  const int m = 128;
  const int n = 256;
  const int k = 512;

  /*batched igemm traits*/
  typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kColumnMajor,
    cutlass::MatrixLayout::kRowMajor,
    cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
    IgemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<int,
    int,
    int,
    int,
    int, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<IgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2, 1, true /*use host reference*/);
}

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

TEST(SplitK_igemm_128x128x32_splits16, igemm_128x256x512_tn) {
  const int splits_count = 16;
  const int m = 128;
  const int n = 256;
  const int k = 512;

  /*batched igemm traits*/
  typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kRowMajor,
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
    IgemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<int,
    int,
    int,
    int,
    int, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<IgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2, 1, true /*use host reference*/);
}

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

TEST(SplitK_igemm_128x128x32_splits16, igemm_128x256x512_tt) {
  const int splits_count = 16;
  const int m = 128;
  const int n = 256;
  const int k = 512;

  /*batched igemm traits*/
  typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kRowMajor,
    cutlass::MatrixLayout::kRowMajor,
    cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
    IgemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<int,
    int,
    int,
    int,
    int, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<IgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2, 1, true /*use host reference*/);
}

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

TEST(SplitK_igemm_128x128x32_splits16, igemm_1024x64x4096_nn) {
  const int splits_count = 16;
  const int m = 1024;
  const int n = 64;
  const int k = 4096;

  /*batched igemm traits*/
  typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kColumnMajor,
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
    IgemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<int,
    int,
    int,
    int,
    int, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<IgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 1, 0, false /*not use host reference*/);
}

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

TEST(SplitK_igemm_128x128x32_splits16, igemm_1024x64x4096_nt) {
  const int splits_count = 16;
  const int m = 1024;
  const int n = 64;
  const int k = 4096;

  /*batched igemm traits*/
  typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kColumnMajor,
    cutlass::MatrixLayout::kRowMajor,
    cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
    IgemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<int,
    int,
    int,
    int,
    int, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<IgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 1, 0, false /*not use host reference*/);
}

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

TEST(SplitK_igemm_128x128x32_splits16, igemm_1024x64x4096_tn) {
  const int splits_count = 16;
  const int m = 1024;
  const int n = 64;
  const int k = 4096;

  /*batched igemm traits*/
  typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kRowMajor,
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
    IgemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<int,
    int,
    int,
    int,
    int, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<IgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 1, 0, false /*not use host reference*/);
}

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

TEST(SplitK_igemm_128x128x32_splits16, igemm_1024x64x4096_tt) {
  const int splits_count = 16;
  const int m = 1024;
  const int n = 64;
  const int k = 4096;

  /*batched igemm traits*/
  typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kRowMajor,
    cutlass::MatrixLayout::kRowMajor,
    cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
    IgemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<int,
    int,
    int,
    int,
    int, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<IgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 1, 0, false /*not use host reference*/);
}

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

TEST(SplitK_igemm_128x32x32_splits16, igemm_1024x64x4096_nn) {
  const int splits_count = 16;
  const int m = 1024;
  const int n = 64;
  const int k = 4096;

  /*batched igemm traits*/
  typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kColumnMajor,
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::Shape<32, 32, 128>, int, cutlass::gemm::LinearScaling<int> >
    IgemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<int,
    int,
    int,
    int,
    int, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<IgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 1, 0, false /*not use host reference*/);
}

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

TEST(SplitK_igemm_128x32x32_splits16, igemm_1024x64x4096_nt) {
  const int splits_count = 16;
  const int m = 1024;
  const int n = 64;
  const int k = 4096;

  /*batched igemm traits*/
  typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kColumnMajor,
    cutlass::MatrixLayout::kRowMajor,
    cutlass::Shape<32, 32, 128>, int, cutlass::gemm::LinearScaling<int> >
    IgemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<int,
    int,
    int,
    int,
    int, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<IgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 1, 0, false /*not use host reference*/);
}

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

TEST(SplitK_igemm_128x32x32_splits16, igemm_1024x64x4096_tn) {
  const int splits_count = 16;
  const int m = 1024;
  const int n = 64;
  const int k = 4096;

  /*batched igemm traits*/
  typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kRowMajor,
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::Shape<32, 32, 128>, int, cutlass::gemm::LinearScaling<int> >
    IgemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<int,
    int,
    int,
    int,
    int, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<IgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 1, 0, false /*not use host reference*/);
}

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

TEST(SplitK_igemm_128x32x32_splits16, igemm_1024x64x4096_tt) {
  const int splits_count = 16;
  const int m = 1024;
  const int n = 64;
  const int k = 4096;

  /*batched igemm traits*/
  typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kRowMajor,
    cutlass::MatrixLayout::kRowMajor,
    cutlass::Shape<32, 32, 128>, int, cutlass::gemm::LinearScaling<int> >
    IgemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<int,
    int,
    int,
    int,
    int, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<IgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 1, 0, false /*not use host reference*/);
}

#endif // if (!defined(__CUDA_ARCH__) || (__CUDA_ARCH__ >= 610))