1061 lines
37 KiB
C++
1061 lines
37 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/*! \file
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\brief
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Default kernel-level GEMM definitions combine threadblock-scoped matrix multiply-add with
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the appropriate threadblock-scoped epilogue.
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Note, CUTLASS epilogues universally target row-major outputs. Column-major outputs are
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accommodated by exchanging A and B operands and assuming transposed layouts. Partial
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specializations here choose 'device::GemmTransposed' to implement this functionality.
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*/
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#pragma once
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#include "cutlass/cutlass.h"
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#include "cutlass/layout/matrix.h"
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#include "cutlass/numeric_types.h"
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#include "cutlass/arch/wmma.h"
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#include "cutlass/epilogue/threadblock/epilogue.h"
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#include "cutlass/epilogue/thread/linear_combination.h"
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#include "cutlass/gemm/gemm.h"
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#include "cutlass/gemm/kernel/gemm.h"
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#include "cutlass/gemm/kernel/gemm_pipelined.h"
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#include "cutlass/gemm/threadblock/default_mma_core_sm75.h"
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#include "cutlass/gemm/threadblock/default_mma_core_sm70.h"
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#include "cutlass/gemm/threadblock/default_mma_core_sm80.h"
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#include "cutlass/gemm/threadblock/default_mma.h"
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#include "cutlass/gemm/threadblock/default_mma_core_simt.h"
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#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
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#include "cutlass/epilogue/threadblock/default_epilogue_tensor_op.h"
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#include "cutlass/epilogue/threadblock/default_epilogue_volta_tensor_op.h"
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#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
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#include "cutlass/transform/threadblock/predicated_tile_iterator.h"
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#include "cutlass/layout/permute.h"
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#if defined(CUTLASS_ARCH_WMMA_ENABLED)
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#include "cutlass/epilogue/threadblock/default_epilogue_wmma_tensor_op.h"
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#endif //CUTLASS_ARCH_WMMA_ENABLED
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////////////////////////////////////////////////////////////////////////////////
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namespace cutlass {
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namespace gemm {
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namespace kernel {
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////////////////////////////////////////////////////////////////////////////////
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template <
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/// Element type for A matrix operand
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typename ElementA_,
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/// Layout type for A matrix operand
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typename LayoutA_,
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/// Access granularity of A matrix in units of elements
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int kAlignmentA,
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/// Element type for B matrix operand
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typename ElementB_,
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/// Layout type for B matrix operand
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typename LayoutB_,
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/// Access granularity of B matrix in units of elements
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int kAlignmentB,
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/// Element type for C and D matrix operands
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typename ElementC_,
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/// Layout type for C and D matrix operands
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typename LayoutC_,
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/// Element type for internal accumulation
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typename ElementAccumulator,
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/// Operator class tag
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typename OperatorClass,
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/// Tag indicating architecture to tune for
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typename ArchTag,
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/// Threadblock-level tile size (concept: GemmShape)
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typename ThreadblockShape,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape,
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/// Warp-level tile size (concept: GemmShape)
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typename InstructionShape,
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/// Epilogue output operator
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typename EpilogueOutputOp,
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/// Threadblock-level swizzling operator
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typename ThreadblockSwizzle,
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/// Number of stages used in the pipelined mainloop
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int Stages,
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/// If true, kernel is configured to support serial reduction in the
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/// epilogue
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bool SplitKSerial,
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/// Operation performed by GEMM
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typename Operator,
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/// Use zfill or predicate for out-of-bound cp.async
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SharedMemoryClearOption SharedMemoryClear = SharedMemoryClearOption::kNone,
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/// Gather operand A by using an index array
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bool GatherA = false,
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/// Gather operand B by using an index array
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bool GatherB = false,
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/// Scatter result D by using an index array
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bool ScatterD = false,
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/// Permute result D
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typename PermuteDLayout = layout::NoPermute,
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///
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typename Enable = void
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>
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struct DefaultGemm;
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////////////////////////////////////////////////////////////////////////////////
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/// Partial specialization for Hopper Architecture
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template <
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/// Element type for A matrix operand
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typename ElementA,
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/// Layout type for A matrix operand
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typename LayoutA,
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/// Access granularity of A matrix in units of elements
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int kAlignmentA,
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/// Element type for B matrix operand
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typename ElementB,
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/// Layout type for B matrix operand
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typename LayoutB,
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/// Access granularity of A matrix in units of elements
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int kAlignmentB,
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/// Element type for C and D matrix operands
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typename ElementC,
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/// Element type for internal accumulation
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typename ElementAccumulator,
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/// Threadblock-level tile size (concept: GemmShape)
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typename ThreadblockShape,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape,
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/// Warp-level tile size (concept: GemmShape)
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typename InstructionShape,
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/// Epilogue output operator
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typename EpilogueOutputOp,
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/// Threadblock-level swizzling operator
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typename ThreadblockSwizzle,
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/// Number of stages used in the pipelined mainloop
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int Stages,
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/// If true, kernel is configured to support serial reduction in the
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/// epilogue
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bool SplitKSerial,
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/// Operation performed by GEMM
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typename Operator,
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/// Use zfill or predicate for out-of-bound cp.async
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SharedMemoryClearOption SharedMemoryClear,
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/// Gather operand A by using an index array
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bool GatherA,
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/// Gather operand B by using an index array
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bool GatherB,
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/// Scatter result D by using an index array
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bool ScatterD,
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/// Permute result D
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typename PermuteDLayout
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>
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struct DefaultGemm<ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementC,
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layout::RowMajor, ElementAccumulator, arch::OpClassTensorOp,
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arch::Sm90, ThreadblockShape, WarpShape, InstructionShape,
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EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial,
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Operator, SharedMemoryClear, GatherA, GatherB, ScatterD, PermuteDLayout> {
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/// Define the threadblock-scoped matrix multiply-accumulate
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using Mma = typename cutlass::gemm::threadblock::DefaultMma<
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ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB,
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ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm90,
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ThreadblockShape, WarpShape, InstructionShape, Stages,
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Operator, false, SharedMemoryClear, GatherA, GatherB>::ThreadblockMma;
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static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
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/// Define the epilogue
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using Epilogue =
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typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOp<
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ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp,
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EpilogueOutputOp::kCount, ScatterD, PermuteDLayout>::Epilogue;
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/// Define the kernel-level GEMM operator.
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using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
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};
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////////////////////////////////////////////////////////////////////////////////
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/// Partial specialization for Ampere Architecture
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template <
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/// Element type for A matrix operand
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typename ElementA,
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/// Layout type for A matrix operand
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typename LayoutA,
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/// Access granularity of A matrix in units of elements
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int kAlignmentA,
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/// Element type for B matrix operand
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typename ElementB,
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/// Layout type for B matrix operand
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typename LayoutB,
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/// Access granularity of A matrix in units of elements
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int kAlignmentB,
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/// Element type for C and D matrix operands
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typename ElementC,
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/// Layout type for C and D matrix operand
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typename LayoutC,
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/// Element type for internal accumulation
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typename ElementAccumulator,
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/// Threadblock-level tile size (concept: GemmShape)
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typename ThreadblockShape,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape,
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/// Warp-level tile size (concept: GemmShape)
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typename InstructionShape,
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/// Epilogue output operator
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typename EpilogueOutputOp,
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/// Threadblock-level swizzling operator
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typename ThreadblockSwizzle,
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/// Number of stages used in the pipelined mainloop
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int Stages,
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/// If true, kernel is configured to support serial reduction in the
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/// epilogue
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bool SplitKSerial,
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/// Operation performed by GEMM
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typename Operator,
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/// Use zfill or predicate for out-of-bound cp.async
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SharedMemoryClearOption SharedMemoryClear,
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/// Gather operand A by using an index array
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bool GatherA,
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/// Gather operand B by using an index array
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bool GatherB,
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/// Scatter result D by using an index array
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bool ScatterD,
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/// Permute result D
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typename PermuteDLayout
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>
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struct DefaultGemm<ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementC,
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LayoutC, ElementAccumulator, arch::OpClassTensorOp,
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arch::Sm80, ThreadblockShape, WarpShape, InstructionShape,
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EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial,
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Operator, SharedMemoryClear, GatherA, GatherB, ScatterD, PermuteDLayout> {
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static_assert((platform::is_same<LayoutC, layout::RowMajor>::value
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|| platform::is_same<LayoutC, layout::AffineRankN<2>>::value),
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"Epilogue in the kernel level must be row major");
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/// Define the threadblock-scoped matrix multiply-accumulate
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using Mma = typename cutlass::gemm::threadblock::DefaultMma<
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ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB,
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ElementAccumulator, LayoutC, arch::OpClassTensorOp, arch::Sm80,
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ThreadblockShape, WarpShape, InstructionShape, Stages,
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Operator, false, SharedMemoryClear, GatherA, GatherB>::ThreadblockMma;
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static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
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/// Define the epilogue
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using RegularEpilogue =
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typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOp<
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ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp,
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EpilogueOutputOp::kCount, ScatterD, PermuteDLayout>::Epilogue;
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using Affine2Epilogue =
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typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOpAffineRankN<
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2, ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp,
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EpilogueOutputOp::kCount>::Epilogue;
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using Epilogue = typename platform::conditional<platform::is_same<LayoutC, layout::RowMajor>::value,
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RegularEpilogue,
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Affine2Epilogue>::type;
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/// Define the kernel-level GEMM operator.
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using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
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};
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////////////////////////////////////////////////////////////////////////////////
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/// Partial specialization for Turing Architecture
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template <
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/// Element type for A matrix operand
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typename ElementA,
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/// Layout type for A matrix operand
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typename LayoutA,
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/// Access granularity of A matrix in units of elements
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int kAlignmentA,
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/// Element type for B matrix operand
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typename ElementB,
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/// Layout type for B matrix operand
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typename LayoutB,
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/// Access granularity of B matrix in units of elements
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int kAlignmentB,
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/// Element type for C and D matrix operands
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typename ElementC,
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/// Element type for internal accumulation
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typename ElementAccumulator,
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/// Threadblock-level tile size (concept: GemmShape)
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typename ThreadblockShape,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape,
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/// Warp-level tile size (concept: GemmShape)
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typename InstructionShape,
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/// Epilogue output operator
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typename EpilogueOutputOp,
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/// Threadblock-level swizzling operator
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typename ThreadblockSwizzle,
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/// If true, kernel is configured to support serial reduction in the epilogue
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bool SplitKSerial,
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/// Operation performed by GEMM
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typename Operator,
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/// Use zfill or predicate for out-of-bound cp.async
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SharedMemoryClearOption SharedMemoryClear,
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/// Gather operand A by using an index array
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bool GatherA,
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/// Gather operand B by using an index array
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bool GatherB,
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/// Scatter result D by using an index array
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bool ScatterD,
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/// Permute result D
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typename PermuteDLayout
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>
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struct DefaultGemm<
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ElementA, LayoutA, kAlignmentA,
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ElementB, LayoutB, kAlignmentB,
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ElementC, layout::RowMajor,
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ElementAccumulator,
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arch::OpClassTensorOp,
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arch::Sm75,
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ThreadblockShape,
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WarpShape,
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InstructionShape,
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EpilogueOutputOp,
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ThreadblockSwizzle,
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2,
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SplitKSerial,
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Operator,
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SharedMemoryClear,
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GatherA,
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GatherB,
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ScatterD,
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PermuteDLayout
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> {
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/// Define the threadblock-scoped matrix multiply-accumulate
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using Mma = typename cutlass::gemm::threadblock::DefaultMma<
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ElementA,
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LayoutA,
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kAlignmentA,
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ElementB,
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LayoutB,
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kAlignmentB,
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ElementAccumulator,
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layout::RowMajor,
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arch::OpClassTensorOp,
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arch::Sm75,
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ThreadblockShape,
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WarpShape,
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InstructionShape,
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2,
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Operator,
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false,
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SharedMemoryClear,
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GatherA,
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GatherB
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>::ThreadblockMma;
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static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
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/// Define the epilogue
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using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOp<
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ThreadblockShape,
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typename Mma::Operator,
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kPartitionsK,
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EpilogueOutputOp,
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EpilogueOutputOp::kCount,
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ScatterD,
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PermuteDLayout
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>::Epilogue;
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/// Define the kernel-level GEMM operator.
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using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
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};
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////////////////////////////////////////////////////////////////////////////////
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/// Partial specialization for Ampere Integer Matrix Multiply Interleaved layout
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template <
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/// Element type for A matrix operand
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typename ElementA,
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/// Access granularity of A matrix in units of elements
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int kAlignmentA,
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/// Element type for B matrix operand
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typename ElementB,
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/// Access granularity of B matrix in units of elements
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int kAlignmentB,
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/// Element type for C and D matrix operands
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typename ElementC,
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/// Threadblock-level tile size (concept: GemmShape)
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typename ThreadblockShape,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape,
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/// Warp-level tile size (concept: GemmShape)
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typename InstructionShape,
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/// Epilogue output operator
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typename EpilogueOutputOp,
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/// Threadblock-level swizzling operator
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typename ThreadblockSwizzle,
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/// Number of stages used in the pipelined mainloop
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int Stages,
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/// Number of Interleaved k
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int InterleavedK,
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/// If true, kernel is configured to support serial reduction in the
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/// epilogue
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bool SplitKSerial,
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/// Operation performed by GEMM
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typename Operator,
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/// Use zfill or predicate for out-of-bound cp.async
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SharedMemoryClearOption SharedMemoryClear>
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struct DefaultGemm<
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ElementA, layout::ColumnMajorInterleaved<InterleavedK>, kAlignmentA,
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ElementB, layout::RowMajorInterleaved<InterleavedK>, kAlignmentB, ElementC,
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layout::ColumnMajorInterleaved<InterleavedK>, int32_t,
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arch::OpClassTensorOp, arch::Sm80, ThreadblockShape, WarpShape,
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InstructionShape, EpilogueOutputOp, ThreadblockSwizzle, Stages,
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SplitKSerial, Operator, SharedMemoryClear, false, false, false> {
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using LayoutA = layout::ColumnMajorInterleaved<InterleavedK>;
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using LayoutB = layout::RowMajorInterleaved<InterleavedK>;
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using LayoutC = layout::ColumnMajorInterleaved<InterleavedK>;
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using ElementAccumulator = int32_t;
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/// Define the threadblock-scoped matrix multiply-accumulate
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using Mma = typename cutlass::gemm::threadblock::DefaultMma<
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ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB,
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ElementAccumulator, LayoutC, arch::OpClassTensorOp, arch::Sm80,
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ThreadblockShape, WarpShape, InstructionShape, Stages, Operator,
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true, SharedMemoryClear>::ThreadblockMma;
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static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
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/// Define the epilogue
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using Epilogue = typename cutlass::epilogue::threadblock::
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DefaultInterleavedEpilogueTensorOp<
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ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp,
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64 / sizeof_bits<ElementC>::value, InterleavedK>::Epilogue;
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/// Define the kernel-level GEMM operator.
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using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
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};
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////////////////////////////////////////////////////////////////////////////////
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/// Partial specialization for Turing Integer Matrix Multiply Interleaved layout
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template <
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/// Element type for A matrix operand
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typename ElementA,
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/// Access granularity of A matrix in units of elements
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int kAlignmentA,
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/// Element type for B matrix operand
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typename ElementB,
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/// Access granularity of B matrix in units of elements
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int kAlignmentB,
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/// Element type for C and D matrix operands
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typename ElementC,
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/// Threadblock-level tile size (concept: GemmShape)
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typename ThreadblockShape,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape,
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/// Warp-level tile size (concept: GemmShape)
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typename InstructionShape,
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/// Epilogue output operator
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typename EpilogueOutputOp,
|
|
/// Threadblock-level swizzling operator
|
|
typename ThreadblockSwizzle,
|
|
/// Number of Interleaved k
|
|
int InterleavedK,
|
|
/// If true, kernel is configured to support serial reduction in the
|
|
/// epilogue
|
|
bool SplitKSerial,
|
|
/// Operation performed by GEMM
|
|
typename Operator,
|
|
/// Use zfill or predicate for out-of-bound cp.async
|
|
SharedMemoryClearOption SharedMemoryClear>
|
|
struct DefaultGemm<ElementA, layout::ColumnMajorInterleaved<InterleavedK>,
|
|
kAlignmentA, ElementB,
|
|
layout::RowMajorInterleaved<InterleavedK>, kAlignmentB,
|
|
ElementC, layout::ColumnMajorInterleaved<InterleavedK>,
|
|
int32_t, arch::OpClassTensorOp, arch::Sm75, ThreadblockShape,
|
|
WarpShape, InstructionShape, EpilogueOutputOp,
|
|
ThreadblockSwizzle, 2, SplitKSerial, Operator, SharedMemoryClear,
|
|
false, false, false> {
|
|
|
|
using LayoutA = layout::ColumnMajorInterleaved<InterleavedK>;
|
|
using LayoutB = layout::RowMajorInterleaved<InterleavedK>;
|
|
using LayoutC = layout::ColumnMajorInterleaved<InterleavedK>;
|
|
|
|
using ElementAccumulator = int32_t;
|
|
|
|
/// Define the threadblock-scoped matrix multiply-accumulate
|
|
using Mma = typename cutlass::gemm::threadblock::DefaultMma<
|
|
ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementAccumulator, LayoutC,
|
|
arch::OpClassTensorOp, arch::Sm75, ThreadblockShape, WarpShape,
|
|
InstructionShape, 2, Operator, true>::ThreadblockMma;
|
|
|
|
static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
|
|
|
|
/// Define the epilogue
|
|
using Epilogue = typename cutlass::epilogue::threadblock::
|
|
DefaultInterleavedEpilogueTensorOp<
|
|
ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp,
|
|
64 / sizeof_bits<ElementC>::value, InterleavedK>::Epilogue;
|
|
|
|
/// Define the kernel-level GEMM operator.
|
|
using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Partial specialization for Volta 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 B 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,
|
|
/// Epilogue output operator
|
|
typename EpilogueOutputOp,
|
|
/// Threadblock-level swizzling operator
|
|
typename ThreadblockSwizzle,
|
|
/// If true, kernel is configured to support serial reduction in the epilogue
|
|
bool SplitKSerial,
|
|
/// Operation performed by GEMM
|
|
typename Operator,
|
|
/// Use zfill or predicate for out-of-bound cp.async
|
|
SharedMemoryClearOption SharedMemoryClear,
|
|
/// Gather operand A by using an index array
|
|
bool GatherA,
|
|
/// Gather operand B by using an index array
|
|
bool GatherB,
|
|
/// Scatter result D by using an index array
|
|
bool ScatterD,
|
|
/// Permute result D
|
|
typename PermuteDLayout
|
|
>
|
|
struct DefaultGemm<
|
|
ElementA, LayoutA, kAlignmentA,
|
|
ElementB, LayoutB, kAlignmentB,
|
|
ElementC, layout::RowMajor,
|
|
ElementAccumulator,
|
|
arch::OpClassTensorOp,
|
|
arch::Sm70,
|
|
ThreadblockShape,
|
|
WarpShape,
|
|
GemmShape<8, 8, 4>,
|
|
EpilogueOutputOp,
|
|
ThreadblockSwizzle,
|
|
2,
|
|
SplitKSerial,
|
|
Operator,
|
|
SharedMemoryClear,
|
|
GatherA,
|
|
GatherB,
|
|
ScatterD,
|
|
PermuteDLayout
|
|
> {
|
|
|
|
/// Define the threadblock-scoped matrix multiply-accumulate
|
|
using Mma = typename cutlass::gemm::threadblock::DefaultMma<
|
|
ElementA,
|
|
LayoutA,
|
|
kAlignmentA,
|
|
ElementB,
|
|
LayoutB,
|
|
kAlignmentB,
|
|
ElementAccumulator,
|
|
layout::RowMajor,
|
|
arch::OpClassTensorOp,
|
|
arch::Sm70,
|
|
ThreadblockShape,
|
|
WarpShape,
|
|
GemmShape<8, 8, 4>,
|
|
2,
|
|
Operator,
|
|
false,
|
|
SharedMemoryClear,
|
|
GatherA,
|
|
GatherB
|
|
>::ThreadblockMma;
|
|
|
|
static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
|
|
|
|
/// Define the epilogue
|
|
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueVoltaTensorOp<
|
|
ThreadblockShape,
|
|
typename Mma::Operator,
|
|
kPartitionsK,
|
|
EpilogueOutputOp,
|
|
EpilogueOutputOp::kCount,
|
|
ScatterD,
|
|
PermuteDLayout
|
|
>::Epilogue;
|
|
|
|
/// Define the kernel-level GEMM operator.
|
|
using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Partial specialization for SIMT
|
|
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,
|
|
/// Layout type for C and D matrix operand
|
|
typename LayoutC,
|
|
/// Element type for internal accumulation
|
|
typename ElementAccumulator,
|
|
/// Tag indicating architecture to tune for
|
|
typename ArchTag,
|
|
/// Threadblock-level tile size (concept: GemmShape)
|
|
typename ThreadblockShape,
|
|
/// Warp-level tile size (concept: GemmShape)
|
|
typename WarpShape,
|
|
/// Epilogue output operator
|
|
typename EpilogueOutputOp,
|
|
/// Threadblock-level swizzling operator
|
|
typename ThreadblockSwizzle,
|
|
/// If true, kernel is configured to support serial reduction in the epilogue
|
|
bool SplitKSerial,
|
|
/// Operation performed by GEMM
|
|
typename Operator,
|
|
/// Use zfill or predicate for out-of-bound cp.async
|
|
SharedMemoryClearOption SharedMemoryClear,
|
|
/// Gather operand A by using an index array
|
|
bool GatherA,
|
|
/// Gather operand B by using an index array
|
|
bool GatherB,
|
|
/// Scatter result D by using an index array
|
|
bool ScatterD,
|
|
/// Permute result D
|
|
typename PermuteDLayout
|
|
>
|
|
struct DefaultGemm<
|
|
ElementA,
|
|
LayoutA,
|
|
kAlignmentA,
|
|
ElementB,
|
|
LayoutB,
|
|
kAlignmentB,
|
|
ElementC,
|
|
LayoutC,
|
|
ElementAccumulator,
|
|
arch::OpClassSimt,
|
|
ArchTag,
|
|
ThreadblockShape,
|
|
WarpShape,
|
|
GemmShape<1, 1, 1>,
|
|
EpilogueOutputOp,
|
|
ThreadblockSwizzle,
|
|
2,
|
|
SplitKSerial,
|
|
Operator,
|
|
SharedMemoryClear,
|
|
GatherA,
|
|
GatherB,
|
|
ScatterD,
|
|
PermuteDLayout,
|
|
typename platform::enable_if< ! platform::is_same<ArchTag, arch::Sm80>::value >::type > {
|
|
|
|
static_assert((platform::is_same<LayoutC, layout::RowMajor>::value
|
|
|| platform::is_same<LayoutC, layout::AffineRankN<2>>::value),
|
|
"Epilogue in the kernel level must be row major");
|
|
|
|
/// Define the threadblock-scoped matrix multiply-accumulate
|
|
using Mma = typename cutlass::gemm::threadblock::DefaultMma<
|
|
ElementA,
|
|
LayoutA,
|
|
kAlignmentA,
|
|
ElementB,
|
|
LayoutB,
|
|
kAlignmentB,
|
|
ElementAccumulator,
|
|
LayoutC,
|
|
arch::OpClassSimt,
|
|
arch::Sm50,
|
|
ThreadblockShape,
|
|
WarpShape,
|
|
GemmShape<1, 1, 1>,
|
|
2,
|
|
Operator,
|
|
false,
|
|
SharedMemoryClear,
|
|
GatherA,
|
|
GatherB>::ThreadblockMma;
|
|
|
|
static int const kEpilogueElementsPerAccess = EpilogueOutputOp::kCount;
|
|
static_assert(kEpilogueElementsPerAccess == 1, "simt epilogue must operate on scalars");
|
|
|
|
/// Define the epilogue
|
|
using RegularEpilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
|
|
ThreadblockShape,
|
|
typename Mma::Operator,
|
|
EpilogueOutputOp,
|
|
kEpilogueElementsPerAccess,
|
|
ScatterD,
|
|
PermuteDLayout
|
|
>::Epilogue;
|
|
|
|
using Affine2Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimtAffineRankN<
|
|
2,
|
|
ThreadblockShape,
|
|
typename Mma::Operator,
|
|
EpilogueOutputOp,
|
|
kEpilogueElementsPerAccess
|
|
>::Epilogue;
|
|
|
|
using Epilogue = typename platform::conditional<platform::is_same<LayoutC, layout::RowMajor>::value,
|
|
RegularEpilogue,
|
|
Affine2Epilogue>::type;
|
|
|
|
/// Define the kernel-level GEMM operator.
|
|
using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Partial specialization for Ampere
|
|
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,
|
|
/// Layout type for C and D matrix operand
|
|
typename LayoutC,
|
|
/// Element type for internal accumulation
|
|
typename ElementAccumulator,
|
|
/// Threadblock-level tile size (concept: GemmShape)
|
|
typename ThreadblockShape,
|
|
/// Warp-level tile size (concept: GemmShape)
|
|
typename WarpShape,
|
|
/// Epilogue output operator
|
|
typename EpilogueOutputOp,
|
|
/// Threadblock-level swizzling operator
|
|
typename ThreadblockSwizzle,
|
|
/// Number of stages
|
|
int Stages,
|
|
/// If true, kernel is configured to support serial reduction in the epilogue
|
|
bool SplitKSerial,
|
|
/// Operation performed by GEMM
|
|
typename Operator,
|
|
/// Use zfill or predicate for out-of-bound cp.async
|
|
SharedMemoryClearOption SharedMemoryClear,
|
|
/// Gather operand A by using an index array
|
|
bool GatherA,
|
|
/// Gather operand B by using an index array
|
|
bool GatherB,
|
|
/// Scatter result D by using an index array
|
|
bool ScatterD,
|
|
/// Permute result D
|
|
typename PermuteDLayout
|
|
>
|
|
struct DefaultGemm<ElementA,
|
|
LayoutA,
|
|
kAlignmentA,
|
|
ElementB,
|
|
LayoutB,
|
|
kAlignmentB,
|
|
ElementC,
|
|
LayoutC,
|
|
ElementAccumulator,
|
|
arch::OpClassSimt,
|
|
arch::Sm80,
|
|
ThreadblockShape,
|
|
WarpShape,
|
|
GemmShape<1, 1, 1>,
|
|
EpilogueOutputOp,
|
|
ThreadblockSwizzle,
|
|
Stages,
|
|
SplitKSerial,
|
|
Operator,
|
|
SharedMemoryClear,
|
|
GatherA,
|
|
GatherB,
|
|
ScatterD,
|
|
PermuteDLayout> {
|
|
|
|
static_assert((platform::is_same<LayoutC, layout::RowMajor>::value
|
|
|| platform::is_same<LayoutC, layout::AffineRankN<2>>::value),
|
|
"Epilogue in the kernel level must be row major");
|
|
|
|
/// Define the threadblock-scoped matrix multiply-accumulate
|
|
using Mma = typename cutlass::gemm::threadblock::DefaultMma<
|
|
ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB,
|
|
ElementAccumulator, LayoutC, arch::OpClassSimt, arch::Sm80,
|
|
ThreadblockShape, WarpShape, GemmShape<1, 1, 1>, Stages,
|
|
Operator, false, SharedMemoryClear, GatherA, GatherB>::ThreadblockMma;
|
|
|
|
static int const kEpilogueElementsPerAccess = EpilogueOutputOp::kCount;
|
|
static_assert(kEpilogueElementsPerAccess == 1, "simt epilogue must operate on scalars");
|
|
|
|
/// Define the epilogue
|
|
using RegularEpilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
|
|
ThreadblockShape,
|
|
typename Mma::Operator,
|
|
EpilogueOutputOp,
|
|
kEpilogueElementsPerAccess,
|
|
ScatterD,
|
|
PermuteDLayout
|
|
>::Epilogue;
|
|
|
|
using Affine2Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimtAffineRankN<
|
|
2,
|
|
ThreadblockShape,
|
|
typename Mma::Operator,
|
|
EpilogueOutputOp,
|
|
kEpilogueElementsPerAccess
|
|
>::Epilogue;
|
|
|
|
using Epilogue = typename platform::conditional<platform::is_same<LayoutC, layout::RowMajor>::value,
|
|
RegularEpilogue,
|
|
Affine2Epilogue>::type;
|
|
|
|
/// Define the kernel-level GEMM operator.
|
|
using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
/// Partial specialization for SIMT DP4A
|
|
|
|
template <
|
|
/// Layout type for A matrix operand
|
|
typename LayoutA,
|
|
/// Access granularity of A matrix in units of elements
|
|
int kAlignmentA,
|
|
/// Layout type for B matrix operand
|
|
typename LayoutB,
|
|
/// Access granularity of A matrix in units of elements
|
|
int kAlignmentB,
|
|
/// Layout type for C matrix operand
|
|
typename LayoutC,
|
|
/// Element type for C and D matrix operands
|
|
typename ElementC,
|
|
/// Tag indicating architecture to tune for
|
|
typename ArchTag,
|
|
/// Element type for internal accumulation
|
|
typename ElementAccumulator,
|
|
/// Threadblock-level tile size (concept: GemmShape)
|
|
typename ThreadblockShape,
|
|
/// Warp-level tile size (concept: GemmShape)
|
|
typename WarpShape,
|
|
/// Epilogue output operator
|
|
typename EpilogueOutputOp,
|
|
/// Threadblock-level swizzling operator
|
|
typename ThreadblockSwizzle,
|
|
/// If true, kernel is configured to support serial reduction in the
|
|
/// epilogue
|
|
bool SplitKSerial,
|
|
/// Operation performed by GEMM
|
|
typename Operator,
|
|
/// Use zfill or predicate for out-of-bound cp.async
|
|
SharedMemoryClearOption SharedMemoryClear
|
|
>
|
|
struct DefaultGemm<int8_t, LayoutA, kAlignmentA, int8_t, LayoutB, kAlignmentB,
|
|
ElementC, LayoutC, ElementAccumulator, arch::OpClassSimt,
|
|
ArchTag, ThreadblockShape, WarpShape, GemmShape<1, 1, 4>,
|
|
EpilogueOutputOp, ThreadblockSwizzle, 2, SplitKSerial,
|
|
Operator, SharedMemoryClear, false, false, false> {
|
|
using InstructionShape = GemmShape<1, 1, 4>;
|
|
using ElementA = int8_t;
|
|
using ElementB = int8_t;
|
|
|
|
using OperatorClass = arch::OpClassSimt;
|
|
/// Define the threadblock-scoped matrix multiply-accumulate
|
|
using Mma = typename cutlass::gemm::threadblock::DefaultMma<ElementA,
|
|
LayoutA,
|
|
kAlignmentA,
|
|
ElementB,
|
|
LayoutB,
|
|
kAlignmentB,
|
|
ElementAccumulator,
|
|
LayoutC,
|
|
arch::OpClassSimt,
|
|
arch::Sm50,
|
|
ThreadblockShape,
|
|
WarpShape,
|
|
InstructionShape,
|
|
2,
|
|
Operator
|
|
>::ThreadblockMma;
|
|
|
|
static int const kEpilogueElementsPerAccess = EpilogueOutputOp::kCount;
|
|
static_assert(kEpilogueElementsPerAccess == 1, "simt epilogue must operate on scalars");
|
|
|
|
/// Define the epilogue
|
|
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
|
|
ThreadblockShape,
|
|
typename Mma::Operator,
|
|
EpilogueOutputOp,
|
|
kEpilogueElementsPerAccess
|
|
>::Epilogue;
|
|
|
|
/// Define the kernel-level GEMM operator.
|
|
using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
|
|
};
|
|
|
|
#if defined(CUTLASS_ARCH_WMMA_ENABLED)
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
/// Partial specialization for Wmma Gemm 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 A 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,
|
|
/// 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,
|
|
/// Use zfill or predicate for out-of-bound cp.async
|
|
SharedMemoryClearOption SharedMemoryClear
|
|
>
|
|
struct DefaultGemm<
|
|
ElementA, LayoutA, kAlignmentA,
|
|
ElementB, LayoutB, kAlignmentB,
|
|
ElementC, LayoutC,
|
|
ElementAccumulator,
|
|
arch::OpClassWmmaTensorOp,
|
|
ArchTag,
|
|
ThreadblockShape, WarpShape, InstructionShape,
|
|
EpilogueOutputOp,
|
|
ThreadblockSwizzle,
|
|
Stages,
|
|
SplitKSerial,
|
|
Operator,
|
|
SharedMemoryClear,
|
|
false,
|
|
false,
|
|
false
|
|
> {
|
|
/// Define the threadblock-scoped matrix multiply-accumulate
|
|
using Mma = typename cutlass::gemm::threadblock::DefaultMma<
|
|
ElementA, LayoutA, kAlignmentA,
|
|
ElementB, LayoutB, kAlignmentB,
|
|
ElementAccumulator, LayoutC,
|
|
arch::OpClassWmmaTensorOp,
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ArchTag,
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ThreadblockShape,
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WarpShape,
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InstructionShape,
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Stages,
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Operator>::ThreadblockMma;
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static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
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/// Define the epilogue
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using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp<
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ThreadblockShape,
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typename Mma::Operator,
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|
kPartitionsK,
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|
EpilogueOutputOp,
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|
EpilogueOutputOp::kCount
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|
>::Epilogue;
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|
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/// Define the kernel-level GEMM operator.
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|
using GemmKernel = kernel::Gemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
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};
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////////////////////////////////////////////////////////////////////////////////
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|
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#endif //CUTLASS_ARCH_WMMA_ENABLED
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|
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|
////////////////////////////////////////////////////////////////////////////////
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|
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} // namespace kernel
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} // namespace gemm
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} // namespace cutlass
|