cutlass/tools/test/unit/gemm/splitK_volta884_hgemm.cu

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#include <cublas_v2.h>
#include <cstring>
#include "cutlass_unit_test.h"

#include "tools/util/half.h"
#include "tools/util/host_tensor.h"
#include "tools/util/tensor_view_io.h"

#include "cutlass/gemm/volta884_gemm_traits.h"
#include "cutlass/gemm/gemm.h"

#include "cutlass/reduction/batched_reduction_traits.h"

#include "tools/test/unit/gemm/gemm_testbed.h"
#include "tools/test/unit/gemm/run_gemm.h"

#if CUTLASS_ENABLE_TENSOR_CORE_MMA


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

TEST(Volta884_splitK_h884gemm_64x64x32_splits16, volta884_h884gemm_128x256x512_nn) {
  const int splits_count = 16;
  const int m = 128;
  const int n = 256;
  const int k = 512;

  /*gemm traits*/
  typedef cutlass::gemm::Volta884GemmTraits<
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::Shape<32, 64, 64>,
    cutlass::Shape<32, 64, 64>,
    half,
    half,
    half,
    2
  > GemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<half,
    half,
    half,
    half,
    half, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<GemmTraits, BatchedReductionTraits>(m, n, k, 8/*partitionK_multiple*/, 1.0f, 0.0f);
}

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

TEST(Volta884_splitK_h884gemm_64x64x32_splits16, volta884_h884gemm_128x256x512_nt) {
  const int splits_count = 16;
  const int m = 128;
  const int n = 256;
  const int k = 512;

  /*gemm traits*/
  typedef cutlass::gemm::Volta884GemmTraits<
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::MatrixLayout::kRowMajor,
    cutlass::Shape<32, 64, 64>,
    cutlass::Shape<32, 64, 64>,
    half,
    half,
    half,
    2
  > GemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<half,
    half,
    half,
    half,
    half, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<GemmTraits, BatchedReductionTraits>(m, n, k, 8/*partitionK_multiple*/, 1.0f, 0.0f);
}

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

TEST(Volta884_splitK_h884gemm_64x64x32_splits16, volta884_h884gemm_128x256x512_tn) {
  const int splits_count = 16;
  const int m = 128;
  const int n = 256;
  const int k = 512;

  /*gemm traits*/
  typedef cutlass::gemm::Volta884GemmTraits<
    cutlass::MatrixLayout::kRowMajor,
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::Shape<32, 64, 64>,
    cutlass::Shape<32, 64, 64>,
    half,
    half,
    half,
    2
  > GemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<half,
    half,
    half,
    half,
    half, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<GemmTraits, BatchedReductionTraits>(m, n, k, 8/*partitionK_multiple*/, 1.0f, 0.0f);
}

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

TEST(Volta884_splitK_h884gemm_64x64x32_splits16, volta884_h884gemm_128x256x512_tt) {
  const int splits_count = 16;
  const int m = 128;
  const int n = 256;
  const int k = 512;

  /*gemm traits*/
  typedef cutlass::gemm::Volta884GemmTraits<
    cutlass::MatrixLayout::kRowMajor,
    cutlass::MatrixLayout::kRowMajor,
    cutlass::Shape<32, 64, 64>,
    cutlass::Shape<32, 64, 64>,
    half,
    half,
    half,
    2
  > GemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<half,
    half,
    half,
    half,
    half, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<GemmTraits, BatchedReductionTraits>(m, n, k, 8/*partitionK_multiple*/, 1.0f, 0.0f);
}

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

TEST(Volta884_splitK_h884gemm_64x64x32_splits10, volta884_h884gemm_128x256x88_nn) {
  /*
  m = 128, n = 256, overall_K = 88, splits_count = 10
  for the first 9 partition k = overall_k / partitionK_count = 8
  for the last partition last_k = overall_k - (partitionK_count - 1) * k = 16
  for volta884 it is safe to make sure leading dim are multiple of 8
  */

  const int splits_count = 10;
  const int m = 128;
  const int n = 256;
  const int k = 88;

  /*gemm traits*/
  typedef cutlass::gemm::Volta884GemmTraits<
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::Shape<32, 64, 64>,
    cutlass::Shape<32, 64, 64>,
    half,
    half,
    half,
    2
  > GemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<half,
    half,
    half,
    half,
    half, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<GemmTraits, BatchedReductionTraits>(m, n, k, 8/*partitionK_multiple*/, 1.0f, 0.0f);
}

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

TEST(Volta884_splitK_h884gemm_64x64x32_splits10, volta884_h884gemm_128x256x88_nt) {
  /*
  m = 128, n = 256, overall_K = 88, splits_count = 10
  for the first 9 partition k = overall_k / partitionK_count = 8
  for the last partition last_k = overall_k - (partitionK_count - 1) * k = 16
  for volta884 it is safe to make sure leading dim are multiple of 8
  */
  const int splits_count = 10;
  const int m = 128;
  const int n = 256;
  const int k = 88;

  /*gemm traits*/
  typedef cutlass::gemm::Volta884GemmTraits<
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::MatrixLayout::kRowMajor,
    cutlass::Shape<32, 64, 64>,
    cutlass::Shape<32, 64, 64>,
    half,
    half,
    half,
    2
  > GemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<half,
    half,
    half,
    half,
    half, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<GemmTraits, BatchedReductionTraits>(m, n, k, 8/*partitionK_multiple*/, 1.0f, 0.0f);
}

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

TEST(Volta884_splitK_h884gemm_64x64x32_splits10, volta884_h884gemm_128x256x88_tn) {
  /*
  m = 128, n = 256, overall_K = 88, splits_count = 10
  for the first 9 partition k = overall_k / partitionK_count = 8
  for the last partition last_k = overall_k - (partitionK_count - 1) * k = 16
  for volta884 it is safe to make sure leading dim are multiple of 8
  */
  const int splits_count = 10;
  const int m = 128;
  const int n = 256;
  const int k = 88;

  /*gemm traits*/
  typedef cutlass::gemm::Volta884GemmTraits<
    cutlass::MatrixLayout::kRowMajor,
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::Shape<32, 64, 64>,
    cutlass::Shape<32, 64, 64>,
    half,
    half,
    half,
    2
  > GemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<half,
    half,
    half,
    half,
    half, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<GemmTraits, BatchedReductionTraits>(m, n, k, 8/*partitionK_multiple*/, 1.0f, 0.0f);
}

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

TEST(Volta884_splitK_h884gemm_64x64x32_splits10, volta884_h884gemm_128x256x88_tt) {
  /*
  m = 128, n = 256, overall_K = 88, splits_count = 10
  for the first 9 partition k = overall_k / partitionK_count = 8
  for the last partition last_k = overall_k - (partitionK_count - 1) * k = 16
  for volta884 it is safe to make sure leading dim are multiple of 8
  */
  const int splits_count = 10;
  const int m = 128;
  const int n = 256;
  const int k = 88;

  /*gemm traits*/
  typedef cutlass::gemm::Volta884GemmTraits<
    cutlass::MatrixLayout::kRowMajor,
    cutlass::MatrixLayout::kRowMajor,
    cutlass::Shape<32, 64, 64>,
    cutlass::Shape<32, 64, 64>,
    half,
    half,
    half,
    2
  > GemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<half,
    half,
    half,
    half,
    half, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<GemmTraits, BatchedReductionTraits>(m, n, k, 8/*partitionK_multiple*/, 1.0f, 0.0f);
}
////////////////////////////////////////////////////////////////////////////////////////////////////

TEST(Volta884_splitK_h884gemm_64x64x32_splits10, volta884_h884gemm_128x256x256_nn) {
  /*
  m = 128, n = 256, overall_K = 256, splits_count = 10
  for the first 9 partition k = overall_k / partitionK_count = 25
  But if we require the partition mulitple to be 8, the first 9 partition
  k = k - (k % partition_mulitiple) = 24
  for the last partition last_k = overall_k - (partitionK_count - 1) * k = 40
  for volta884 it is safe to make sure leading dim are multiple of 8
  */
  const int splits_count = 10;
  const int m = 128;
  const int n = 256;
  const int k = 256;

  /*gemm traits*/
  typedef cutlass::gemm::Volta884GemmTraits<
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::Shape<32, 64, 64>,
    cutlass::Shape<32, 64, 64>,
    half,
    half,
    half,
    2
  > GemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<half,
    half,
    half,
    half,
    half, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<GemmTraits, BatchedReductionTraits>(m, n, k, 8/*partitionK_multiple*/, 1.0f, 0.0f);
}

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

TEST(Volta884_splitK_h884gemm_64x64x32_splits10, volta884_h884gemm_128x256x256_nt) {
  /*
  m = 128, n = 256, overall_K = 256, splits_count = 10
  for the first 9 partition k = overall_k / partitionK_count = 25
  But if we require the partition mulitple to be 8, the first 9 partition
  k = k - (k % partition_mulitiple) = 24
  for the last partition last_k = overall_k - (partitionK_count - 1) * k = 40
  for volta884 it is safe to make sure leading dim are multiple of 8
  */
  const int splits_count = 10;
  const int m = 128;
  const int n = 256;
  const int k = 256;

  /*gemm traits*/
  typedef cutlass::gemm::Volta884GemmTraits<
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::MatrixLayout::kRowMajor,
    cutlass::Shape<32, 64, 64>,
    cutlass::Shape<32, 64, 64>,
    half,
    half,
    half,
    2
  > GemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<half,
    half,
    half,
    half,
    half, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<GemmTraits, BatchedReductionTraits>(m, n, k, 8/*partitionK_multiple*/, 1.0f, 0.0f);
}

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

TEST(Volta884_splitK_h884gemm_64x64x32_splits10, volta884_h884gemm_128x256x256_tn) {
  /*
  m = 128, n = 256, overall_K = 256, splits_count = 10
  for the first 9 partition k = overall_k / partitionK_count = 25
  But if we require the partition mulitple to be 8, the first 9 partition
  k = k - (k % partition_mulitiple) = 24
  for the last partition last_k = overall_k - (partitionK_count - 1) * k = 40
  for volta884 it is safe to make sure leading dim are multiple of 8
  */
  const int splits_count = 10;
  const int m = 128;
  const int n = 256;
  const int k = 256;

  /*gemm traits*/
  typedef cutlass::gemm::Volta884GemmTraits<
    cutlass::MatrixLayout::kRowMajor,
    cutlass::MatrixLayout::kColumnMajor,
    cutlass::Shape<32, 64, 64>,
    cutlass::Shape<32, 64, 64>,
    half,
    half,
    half,
    2
  > GemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<half,
    half,
    half,
    half,
    half, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<GemmTraits, BatchedReductionTraits>(m, n, k, 8/*partitionK_multiple*/, 1.0f, 0.0f);
}
////////////////////////////////////////////////////////////////////////////////////////////////////

TEST(Volta884_splitK_h884gemm_64x64x32_splits10, volta884_h884gemm_128x256x256_tt) {
  /*
  m = 128, n = 256, overall_K = 256, splits_count = 10
  for the first 9 partition k = overall_k / partitionK_count = 25
  But if we require the partition mulitple to be 8, the first 9 partition
  k = k - (k % partition_mulitiple) = 24
  for the last partition last_k = overall_k - (partitionK_count - 1) * k = 40
  for volta884 it is safe to make sure leading dim are multiple of 8
  */
  const int splits_count = 10;
  const int m = 128;
  const int n = 256;
  const int k = 256;

  /*gemm traits*/
  typedef cutlass::gemm::Volta884GemmTraits<
    cutlass::MatrixLayout::kRowMajor,
    cutlass::MatrixLayout::kRowMajor,
    cutlass::Shape<32, 64, 64>,
    cutlass::Shape<32, 64, 64>,
    half,
    half,
    half,
    2
  > GemmTraits;
  /*batched reduction traits*/
  typedef cutlass::reduction::BatchedReductionTraits<half,
    half,
    half,
    half,
    half, /*accumulation type*/
    splits_count,
    cutlass::Shape<1, 1, 128>,
    cutlass::Shape<1, 1, 64>,
    cutlass::Shape<1, 1, 2> >
    BatchedReductionTraits;

  run_splitK_gemm<GemmTraits, BatchedReductionTraits>(m, n, k, 8/*partitionK_multiple*/, 1.0f, 0.0f);
}

#endif