/*************************************************************************************************** * Copyright (c) 2017 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: BSD-3-Clause * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, this * list of conditions and the following disclaimer. * * 2. 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. * * 3. Neither the name of the copyright holder 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 THE COPYRIGHT HOLDER OR CONTRIBUTORS 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 TORT (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 Default kernel-level Sparse GEMM definitions combine threadblock-scoped matrix multiply-add with the appropriate threadblock-scoped epilogue. Note, CUTLASS epilogues universally target row-major outputs. Column-major outputs are accommodated by exchanging A and B operands and assuming transposed layouts. Partial specializations here choose 'device::GemmTransposed' to implement this functionality. */ #pragma once #include "cutlass/cutlass.h" #include "cutlass/complex.h" #include "cutlass/layout/matrix.h" #include "cutlass/numeric_types.h" #include "cutlass/gemm/kernel/gemm_sparse_universal.h" #include "cutlass/gemm/kernel/default_gemm_sparse.h" ///////////////////////////////////////////////////////////////////////////////////////////////// namespace cutlass { namespace gemm { namespace kernel { ///////////////////////////////////////////////////////////////////////////////////////////////// // // Real-valued GEMM kernels // template < /// Element type for A matrix operand typename ElementA, /// Layout type for A matrix operand typename LayoutA, /// Access granularity of A matrix in units of elements int kAlignmentA, /// Element type for B matrix operand typename ElementB, /// Layout type for B matrix operand typename LayoutB, /// Access granularity of B matrix in units of elements int kAlignmentB, /// Element type for C and D matrix operands typename ElementC, /// Layout type for C and D matrix operands typename LayoutC, /// Element type for internal accumulation typename ElementAccumulator, /// Operator class tag typename OperatorClass, /// Tag indicating architecture to tune for typename ArchTag, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape, /// Warp-level tile size (concept: GemmShape) typename WarpShape, /// Warp-level tile size (concept: GemmShape) typename InstructionShape, /// Epilogue output operator typename EpilogueOutputOp, /// Threadblock-level swizzling operator typename ThreadblockSwizzle, /// Number of stages used in the pipelined mainloop int Stages, /// Operation performed by GEMM typename Operator > struct DefaultGemmSparseUniversal { using DefaultGemmKernel = typename kernel::DefaultSparseGemm< ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementC, LayoutC, ElementAccumulator, OperatorClass, ArchTag, ThreadblockShape, WarpShape, InstructionShape, EpilogueOutputOp, ThreadblockSwizzle, Stages, true, Operator >::GemmKernel; /// Select kernel by ThreadblockSwizzle's support for StreamkFeature using GemmKernel = kernel::GemmSparseUniversal< typename DefaultGemmKernel::Mma, typename DefaultGemmKernel::Epilogue, ThreadblockSwizzle>; }; ///////////////////////////////////////////////////////////////////////////////////////////////// } // namespace kernel } // namespace gemm } // namespace cutlass /////////////////////////////////////////////////////////////////////////////////////////////////