/*************************************************************************************************** * Copyright (c) 2017-2018, 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. * **************************************************************************************************/ /*! \file \brief Implements warp-level matrix multiply-accumulate operation using CUDA WMMA API. */ #pragma once #include #ifdef CUTLASS_USE_WMMA_API #include namespace cutlass { namespace gemm { //////////////////////////////////////////////////////////////////////////////////////////////////// template struct WmmaGemmMultiplyAdd { /// The shape of the instruction. typedef InstructionShape_ InstructionShape; /// The number of threads per warp. That's a dummy configuration. typedef Shape<1, InstructionShape_::kH, InstructionShape_::kW> ThreadsPerWarp; /// The dimensions. typedef AccumulatorsPerWarp_ AccumulatorsPerWarp; /// The type for A. typedef ScalarA_ ScalarA; /// The type for B. typedef ScalarB_ ScalarB; /// The type for C and D. typedef ScalarC_ ScalarC; /// The number of iterations. typedef typename ShapeDiv::Shape Iterations; /// The element for A. typedef WmmaMatrix ElementA; /// The fragment for A. typedef Fragment FragmentA; /// The element for B. typedef WmmaMatrix ElementB; /// The fragment for B. typedef Fragment FragmentB; /// The element for C. typedef WmmaMatrix ElementC; /// The fragment for C. typedef Fragment Accumulators; /// Ctor. CUTLASS_DEVICE WmmaGemmMultiplyAdd() {} /// Multiply : d = a*b. CUTLASS_DEVICE void multiply_add(FragmentA const& a, FragmentB const& b, Accumulators const& c, Accumulators& d) { for (int j = 0; j < Iterations::kH; ++j) { for (int i = 0; i < Iterations::kW; ++i) { // The input elements. ElementA const& elt_a = a[i]; ElementB const& elt_b = b[j]; ElementC const& elt_c = c[j * Iterations::kW + i]; // The output element. ElementC& elt_d = d[j * Iterations::kW + i]; // The wmma instruction. nvcuda::wmma::mma_sync(elt_d, elt_a, elt_b, elt_c); } } } }; //////////////////////////////////////////////////////////////////////////////////////////////////// } // namespace gemm } // namespace cutlass #endif // defined CUTLASS_USE_WMMA_API