default_mma_tensor_op.h

Go to the documentation of this file.

/***************************************************************************************************
 * Copyright (c) 2017-2019, NVIDIA CORPORATION.  All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without modification, are permitted
 * provided that the following conditions are met:
 *     * Redistributions of source code must retain the above copyright notice, this list of
 *       conditions and the following disclaimer.
 *     * Redistributions in binary form must reproduce the above copyright notice, this list of
 *       conditions and the following disclaimer in the documentation and/or other materials
 *       provided with the distribution.
 *     * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
 *       to endorse or promote products derived from this software without specific prior written
 *       permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
 * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
 * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
 * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
 * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
 * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
 * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 *
 **************************************************************************************************/
#pragma once

#include "cutlass/cutlass.h"
#include "cutlass/gemm/warp/mma_tensor_op.h"

namespace cutlass {
namespace gemm {
namespace warp {


template <
    typename WarpShape_,
    typename InstructionShape_,
    typename ElementA_,
    typename LayoutA_,
    typename ElementB_,
    typename LayoutB_,
    typename ElementC_,
    typename LayoutC_,
    typename Operator_ = arch::OpMultiplyAdd,
    int PartitionsK = 1,
    bool AccumulatorsInRowMajor = false,
    int PartitionsN = 1
>
struct DefaultMmaTensorOp;


template <
    typename WarpShape_,
    typename InstructionShape_,
    typename ElementA,
    typename LayoutA,
    typename ElementB,
    typename LayoutB,
    typename ElementC,
    typename LayoutC,
    typename Operator_,
    int PartitionsK,
    bool AccumulatorsInRowMajor,
    int PartitionsN>
struct DefaultMmaTensorOp {
  using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
      cutlass::arch::Mma<InstructionShape_, 32, ElementA,
                         cutlass::layout::RowMajor, ElementB,
                         cutlass::layout::ColumnMajor, ElementC,
                         cutlass::layout::RowMajor, Operator_>,
      cutlass::MatrixShape<1, 1> >;

  // Define the warp-level tensor op
  using Type = cutlass::gemm::warp::MmaTensorOp<
      WarpShape_, ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC,
      Policy, PartitionsK, AccumulatorsInRowMajor, PartitionsN>;
};


} // namespace warp
} // namespace gemm
} // namespace cutlass