cutlass/test/unit/epilogue/threadblock/epilogue_simt_sm60.cu

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

#include <fstream>

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

#include "cutlass/aligned_buffer.h"

#include "cutlass/gemm/warp/mma_simt.h"
#include "cutlass/gemm/warp/mma_simt_policy.h"

#include "cutlass/epilogue/thread/linear_combination.h"    
#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"

#include "cutlass/util/host_tensor.h"
#include "cutlass/util/tensor_view_io.h"
#include "cutlass/util/reference/host/tensor_fill.h"

#include "testbed.h"

/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Real-valued half precision tests
//
/////////////////////////////////////////////////////////////////////////////////////////////////

TEST(SM60_Epilogue_threadblock_epilogue, simt_f16_32x64_32x64x8) {

  //
  // Define the warp-level matrix multiply
  //

  using Element = cutlass::half_t;
  using ElementOutput = cutlass::half_t;
  using ElementAccumulator = cutlass::half_t;
  using ElementCompute = cutlass::half_t;

  int const kElementsPerAccess = 1;
  
  using Shape = cutlass::gemm::GemmShape<32, 64, 8>;
  using WarpShape = cutlass::gemm::GemmShape<32, 64, 8>;
  using ElementC = ElementAccumulator;
  using LayoutA = cutlass::layout::ColumnMajor;
  using LayoutB = cutlass::layout::RowMajor;
  using LayoutC = cutlass::layout::RowMajor;

  using ElementOutput = Element;
  using ElementAccumulator = Element;
  using ElementCompute = Element;

  using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
    WarpShape,
    Element,
    LayoutA,
    Element,
    LayoutB,
    Element,
    LayoutC,
    cutlass::gemm::warp::MmaSimtPolicy<
      cutlass::MatrixShape<4, 8>,
      cutlass::layout::RowMajorInterleaved<2>,
      cutlass::gemm::GemmShape<4, 4, 1>
    >
  >;

  //
  // Output operator
  //

  using OutputOp = cutlass::epilogue::thread::LinearCombination<
    ElementOutput,
    kElementsPerAccess,
    ElementAccumulator,
    ElementCompute
  >;

  //
  // Define the epilogue
  //

  using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
    Shape,
    WarpMmaSimt,
    OutputOp,
    kElementsPerAccess
  >::Epilogue;

  //
  // Instantiate epilogue
  //

  EpilogueTestbed<Epilogue> testbed;

  bool passed = testbed.run_all();

  EXPECT_TRUE(passed);
}

TEST(SM60_Epilogue_threadblock_epilogue, simt_f16_64x64_64x64x8) {

  //
  // Define the warp-level matrix multiply
  //

  using Element = cutlass::half_t;
  using ElementOutput = cutlass::half_t;
  using ElementAccumulator = cutlass::half_t;
  using ElementCompute = cutlass::half_t;

  int const kElementsPerAccess = 1;
  
  using Shape = cutlass::gemm::GemmShape<64, 64, 8>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 8>;
  using ElementC = ElementAccumulator;
  using LayoutA = cutlass::layout::ColumnMajor;
  using LayoutB = cutlass::layout::RowMajor;
  using LayoutC = cutlass::layout::RowMajor;

  using ElementOutput = Element;
  using ElementAccumulator = Element;
  using ElementCompute = Element;

  using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
    WarpShape,
    Element,
    LayoutA,
    Element,
    LayoutB,
    Element,
    LayoutC,
    cutlass::gemm::warp::MmaSimtPolicy<
      cutlass::MatrixShape<4, 8>,
      cutlass::layout::RowMajorInterleaved<2>,
      cutlass::gemm::GemmShape<8, 4, 1>
    >
  >;

  //
  // Output operator
  //

  using OutputOp = cutlass::epilogue::thread::LinearCombination<
    ElementOutput,
    kElementsPerAccess,
    ElementAccumulator,
    ElementCompute
  >;

  //
  // Define the epilogue
  //

  using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
    Shape,
    WarpMmaSimt,
    OutputOp,
    kElementsPerAccess
  >::Epilogue;

  //
  // Instantiate epilogue
  //

  EpilogueTestbed<Epilogue> testbed;

  bool passed = testbed.run_all();

  EXPECT_TRUE(passed);
}

TEST(SM60_Epilogue_threadblock_epilogue, simt_f16_64x128_64x64x8) {

  //
  // Define the warp-level matrix multiply
  //

  using Element = cutlass::half_t;
  using ElementOutput = cutlass::half_t;
  using ElementAccumulator = cutlass::half_t;
  using ElementCompute = cutlass::half_t;

  int const kElementsPerAccess = 1;
  
  using Shape = cutlass::gemm::GemmShape<64, 128, 8>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 8>;
  using ElementC = ElementAccumulator;
  using LayoutA = cutlass::layout::ColumnMajor;
  using LayoutB = cutlass::layout::RowMajor;
  using LayoutC = cutlass::layout::RowMajor;

  using ElementOutput = Element;
  using ElementAccumulator = Element;
  using ElementCompute = Element;

  using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
    WarpShape,
    Element,
    LayoutA,
    Element,
    LayoutB,
    Element,
    LayoutC,
    cutlass::gemm::warp::MmaSimtPolicy<
      cutlass::MatrixShape<4, 8>,
      cutlass::layout::RowMajorInterleaved<2>,
      cutlass::gemm::GemmShape<8, 4, 1>
    >
  >;

  //
  // Output operator
  //

  using OutputOp = cutlass::epilogue::thread::LinearCombination<
    ElementOutput,
    kElementsPerAccess,
    ElementAccumulator,
    ElementCompute
  >;

  //
  // Define the epilogue
  //

  using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
    Shape,
    WarpMmaSimt,
    OutputOp,
    kElementsPerAccess
  >::Epilogue;

  //
  // Instantiate epilogue
  //

  EpilogueTestbed<Epilogue> testbed;

  bool passed = testbed.run_all();

  EXPECT_TRUE(passed);
}

TEST(SM60_Epilogue_threadblock_epilogue, simt_f16_128x128_64x64x8) {

  //
  // Define the warp-level matrix multiply
  //

  using Element = cutlass::half_t;
  using ElementOutput = cutlass::half_t;
  using ElementAccumulator = cutlass::half_t;
  using ElementCompute = cutlass::half_t;

  int const kElementsPerAccess = 1;
  
  using Shape = cutlass::gemm::GemmShape<128, 128, 8>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 8>;
  using ElementC = ElementAccumulator;
  using LayoutA = cutlass::layout::ColumnMajor;
  using LayoutB = cutlass::layout::RowMajor;
  using LayoutC = cutlass::layout::RowMajor;

  using ElementOutput = Element;
  using ElementAccumulator = Element;
  using ElementCompute = Element;

  using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
    WarpShape,
    Element,
    LayoutA,
    Element,
    LayoutB,
    Element,
    LayoutC,
    cutlass::gemm::warp::MmaSimtPolicy<
      cutlass::MatrixShape<4, 8>,
      cutlass::layout::RowMajorInterleaved<2>,
      cutlass::gemm::GemmShape<8, 4, 1>
    >
  >;

  //
  // Output operator
  //

  using OutputOp = cutlass::epilogue::thread::LinearCombination<
    ElementOutput,
    kElementsPerAccess,
    ElementAccumulator,
    ElementCompute
  >;

  //
  // Define the epilogue
  //

  using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
    Shape,
    WarpMmaSimt,
    OutputOp,
    kElementsPerAccess
  >::Epilogue;

  //
  // Instantiate epilogue
  //

  EpilogueTestbed<Epilogue> testbed;

  bool passed = testbed.run_all();

  EXPECT_TRUE(passed);
}

TEST(SM60_Epilogue_threadblock_epilogue, simt_f16_128x256_64x64x8) {

  //
  // Define the warp-level matrix multiply
  //

  using Element = cutlass::half_t;
  using ElementOutput = cutlass::half_t;
  using ElementAccumulator = cutlass::half_t;
  using ElementCompute = cutlass::half_t;

  int const kElementsPerAccess = 1;
  
  using Shape = cutlass::gemm::GemmShape<128, 256, 8>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 8>;
  using ElementC = ElementAccumulator;
  using LayoutA = cutlass::layout::ColumnMajor;
  using LayoutB = cutlass::layout::RowMajor;
  using LayoutC = cutlass::layout::RowMajor;

  using ElementOutput = Element;
  using ElementAccumulator = Element;
  using ElementCompute = Element;

  using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
    WarpShape,
    Element,
    LayoutA,
    Element,
    LayoutB,
    Element,
    LayoutC,
    cutlass::gemm::warp::MmaSimtPolicy<
      cutlass::MatrixShape<4, 8>,
      cutlass::layout::RowMajorInterleaved<2>,
      cutlass::gemm::GemmShape<8, 4, 1>
    >
  >;

  //
  // Output operator
  //

  using OutputOp = cutlass::epilogue::thread::LinearCombination<
    ElementOutput,
    kElementsPerAccess,
    ElementAccumulator,
    ElementCompute
  >;

  //
  // Define the epilogue
  //

  using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
    Shape,
    WarpMmaSimt,
    OutputOp,
    kElementsPerAccess
  >::Epilogue;

  //
  // Instantiate epilogue
  //

  EpilogueTestbed<Epilogue> testbed;

  bool passed = testbed.run_all();

  EXPECT_TRUE(passed);
}

TEST(SM60_Epilogue_threadblock_epilogue, simt_f16_256x128_64x64x8) {

  //
  // Define the warp-level matrix multiply
  //

  using Element = cutlass::half_t;
  using ElementOutput = cutlass::half_t;
  using ElementAccumulator = cutlass::half_t;
  using ElementCompute = cutlass::half_t;

  int const kElementsPerAccess = 1;
  
  using Shape = cutlass::gemm::GemmShape<256, 128, 8>;
  using WarpShape = cutlass::gemm::GemmShape<64, 64, 8>;
  using ElementC = ElementAccumulator;
  using LayoutA = cutlass::layout::ColumnMajor;
  using LayoutB = cutlass::layout::RowMajor;
  using LayoutC = cutlass::layout::RowMajor;

  using ElementOutput = Element;
  using ElementAccumulator = Element;
  using ElementCompute = Element;

  using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
    WarpShape,
    Element,
    LayoutA,
    Element,
    LayoutB,
    Element,
    LayoutC,
    cutlass::gemm::warp::MmaSimtPolicy<
      cutlass::MatrixShape<4, 8>,
      cutlass::layout::RowMajorInterleaved<2>,
      cutlass::gemm::GemmShape<8, 4, 1>
    >
  >;

  //
  // Output operator
  //

  using OutputOp = cutlass::epilogue::thread::LinearCombination<
    ElementOutput,
    kElementsPerAccess,
    ElementAccumulator,
    ElementCompute
  >;

  //
  // Define the epilogue
  //

  using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
    Shape,
    WarpMmaSimt,
    OutputOp,
    kElementsPerAccess
  >::Epilogue;

  //
  // Instantiate epilogue
  //

  EpilogueTestbed<Epilogue> testbed;

  bool passed = testbed.run_all();

  EXPECT_TRUE(passed);
}

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