/*************************************************************************************************** * 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 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/layout/matrix.h" #include "cutlass/numeric_types.h" #include "cutlass/arch/wmma.h" #include "cutlass/epilogue/threadblock/epilogue.h" #include "cutlass/epilogue/thread/linear_combination.h" #include "cutlass/gemm/gemm.h" #include "cutlass/gemm/kernel/gemm.h" #include "cutlass/gemm/kernel/sparse_gemm.h" #include "cutlass/gemm/kernel/gemm_pipelined.h" #include "cutlass/gemm/threadblock/default_mma_core_sm75.h" #include "cutlass/gemm/threadblock/default_mma_core_sm70.h" #include "cutlass/gemm/threadblock/default_mma_core_sm80.h" #include "cutlass/gemm/threadblock/default_mma_core_sparse_sm80.h" #include "cutlass/gemm/threadblock/default_sparse_mma.h" #include "cutlass/gemm/threadblock/default_mma_core_simt.h" #include "cutlass/gemm/threadblock/threadblock_swizzle.h" #include "cutlass/epilogue/threadblock/default_epilogue_tensor_op.h" #include "cutlass/epilogue/threadblock/default_epilogue_volta_tensor_op.h" #include "cutlass/epilogue/threadblock/default_epilogue_simt.h" #include "cutlass/transform/threadblock/predicated_tile_iterator.h" #if defined(CUTLASS_ARCH_WMMA_ENABLED) #include "cutlass/epilogue/threadblock/default_epilogue_wmma_tensor_op.h" #endif //CUTLASS_ARCH_WMMA_ENABLED //////////////////////////////////////////////////////////////////////////////// namespace cutlass { namespace gemm { namespace kernel { //////////////////////////////////////////////////////////////////////////////// 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, /// If true, kernel is configured to support serial reduction in the /// epilogue bool SplitKSerial, /// Operation performed by GEMM typename Operator> struct DefaultSparseGemm; //////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////// /// Partial specialization for Ampere Architecture 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 A matrix in units of elements int kAlignmentB, /// Element type for C and D matrix operands typename ElementC, /// Element type for internal accumulation typename ElementAccumulator, /// 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, /// If true, kernel is configured to support serial reduction in the /// epilogue bool SplitKSerial, /// Operation performed by GEMM typename Operator> struct DefaultSparseGemm { /// Define the threadblock-scoped matrix multiply-accumulate using Mma = typename cutlass::gemm::threadblock::DefaultSparseMma< ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80, ThreadblockShape, WarpShape, InstructionShape, Stages, Operator>::ThreadblockMma; static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK; /// Define the epilogue using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOp< ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp, EpilogueOutputOp::kCount>::Epilogue; /// Define the kernel-level GEMM operator. using GemmKernel = kernel::SparseGemm; }; /////////////////////////////////////////////////////////////////////////////// /// Partial specialization for Ada Architecture 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 A matrix in units of elements int kAlignmentB, /// Element type for C and D matrix operands typename ElementC, /// Element type for internal accumulation typename ElementAccumulator, /// 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, /// If true, kernel is configured to support serial reduction in the /// epilogue bool SplitKSerial, /// Operation performed by GEMM typename Operator> struct DefaultSparseGemm { /// Define the threadblock-scoped matrix multiply-accumulate using Mma = typename cutlass::gemm::threadblock::DefaultSparseMma< ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm89, ThreadblockShape, WarpShape, InstructionShape, Stages, Operator>::ThreadblockMma; static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK; /// Define the epilogue using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOp< ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp, EpilogueOutputOp::kCount>::Epilogue; /// Define the kernel-level GEMM operator. using GemmKernel = kernel::SparseGemm; }; //////////////////////////////////////////////////////////////////////////////// } // namespace kernel } // namespace gemm } // namespace cutlass