releaase 2.11 (#703)
This commit is contained in:
Aditya Atluri
@@ -0,0 +1,837 @@
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/***************************************************************************************************
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* Copyright (c) 2017 - 2022 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 Default kernel-level Blocked-Ell sparse gemm operators.
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This operator combines threadblock-scoped ELL MMA
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with the appropriate threadblock-scoped epilogue.
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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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#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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#include "cutlass/gemm/kernel/ell_gemm.h"
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#include "cutlass/gemm/threadblock/default_ell_mma.h"
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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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/// Sparse matrix is A or not
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bool IsASparse>
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struct DefaultEllGemm;
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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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/// 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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/// Sparse matrix is A or not
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bool IsASparse
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>
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struct DefaultEllGemm<ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementC,
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layout::RowMajor, 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, IsASparse> {
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/// Define the threadblock-scoped matrix multiply-accumulate
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using Mma = typename cutlass::gemm::threadblock::DefaultEllMma<
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ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB,
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ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80,
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ThreadblockShape, WarpShape, InstructionShape, 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 =
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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>::Epilogue;
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/// Define the kernel-level GEMM operator.
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using GemmKernel = kernel::EllGemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial, IsASparse>;
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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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/// Sparse matrix is A or not
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bool IsASparse
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>
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struct DefaultEllGemm<
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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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IsASparse
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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::DefaultEllMma<
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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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>::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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>::Epilogue;
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/// Define the kernel-level GEMM operator.
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using GemmKernel = kernel::EllGemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial, IsASparse>;
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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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/// Sparse matrix is A or not
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bool IsASparse>
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struct DefaultEllGemm<
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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, IsASparse> {
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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::DefaultEllMma<
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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>::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::EllGemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial, IsASparse>;
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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,
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/// Threadblock-level swizzling operator
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typename ThreadblockSwizzle,
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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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/// Sparse matrix is A or not
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bool IsASparse>
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struct DefaultEllGemm<ElementA, layout::ColumnMajorInterleaved<InterleavedK>,
|
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kAlignmentA, ElementB,
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layout::RowMajorInterleaved<InterleavedK>, kAlignmentB,
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ElementC, layout::ColumnMajorInterleaved<InterleavedK>,
|
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int32_t, arch::OpClassTensorOp, arch::Sm75, ThreadblockShape,
|
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WarpShape, InstructionShape, EpilogueOutputOp,
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ThreadblockSwizzle, 2, SplitKSerial, Operator, IsASparse> {
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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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|
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using ElementAccumulator = int32_t;
|
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|
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/// Define the threadblock-scoped matrix multiply-accumulate
|
||||
using Mma = typename cutlass::gemm::threadblock::DefaultEllMma<
|
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ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementAccumulator, LayoutC,
|
||||
arch::OpClassTensorOp, arch::Sm75, ThreadblockShape, WarpShape,
|
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InstructionShape, 2, Operator, true>::ThreadblockMma;
|
||||
|
||||
static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
|
||||
|
||||
/// Define the epilogue
|
||||
using Epilogue = typename cutlass::epilogue::threadblock::
|
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DefaultInterleavedEpilogueTensorOp<
|
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ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp,
|
||||
64 / sizeof_bits<ElementC>::value, InterleavedK>::Epilogue;
|
||||
|
||||
/// Define the kernel-level GEMM operator.
|
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using GemmKernel = kernel::EllGemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial, IsASparse>;
|
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};
|
||||
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////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
|
||||
/// 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,
|
||||
/// Sparse matrix is A or not
|
||||
bool IsASparse
|
||||
>
|
||||
struct DefaultEllGemm<
|
||||
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,
|
||||
IsASparse
|
||||
> {
|
||||
|
||||
/// Define the threadblock-scoped matrix multiply-accumulate
|
||||
using Mma = typename cutlass::gemm::threadblock::DefaultEllMma<
|
||||
ElementA,
|
||||
LayoutA,
|
||||
kAlignmentA,
|
||||
ElementB,
|
||||
LayoutB,
|
||||
kAlignmentB,
|
||||
ElementAccumulator,
|
||||
layout::RowMajor,
|
||||
arch::OpClassTensorOp,
|
||||
arch::Sm70,
|
||||
ThreadblockShape,
|
||||
WarpShape,
|
||||
GemmShape<8, 8, 4>,
|
||||
2,
|
||||
Operator
|
||||
>::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
|
||||
>::Epilogue;
|
||||
|
||||
/// Define the kernel-level GEMM operator.
|
||||
using GemmKernel = kernel::EllGemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial, IsASparse>;
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
/// 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,
|
||||
/// 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,
|
||||
/// Sparse matrix is A or not
|
||||
bool IsASparse
|
||||
>
|
||||
struct DefaultEllGemm<
|
||||
ElementA,
|
||||
LayoutA,
|
||||
kAlignmentA,
|
||||
ElementB,
|
||||
LayoutB,
|
||||
kAlignmentB,
|
||||
ElementC,
|
||||
layout::RowMajor,
|
||||
ElementAccumulator,
|
||||
arch::OpClassSimt,
|
||||
ArchTag,
|
||||
ThreadblockShape,
|
||||
WarpShape,
|
||||
GemmShape<1, 1, 1>,
|
||||
EpilogueOutputOp,
|
||||
ThreadblockSwizzle,
|
||||
2,
|
||||
SplitKSerial,
|
||||
Operator,
|
||||
IsASparse> {
|
||||
/// Define the threadblock-scoped matrix multiply-accumulate
|
||||
using Mma = typename cutlass::gemm::threadblock::DefaultEllMma<
|
||||
ElementA,
|
||||
LayoutA,
|
||||
kAlignmentA,
|
||||
ElementB,
|
||||
LayoutB,
|
||||
kAlignmentB,
|
||||
ElementAccumulator,
|
||||
layout::RowMajor,
|
||||
arch::OpClassSimt,
|
||||
arch::Sm50,
|
||||
ThreadblockShape,
|
||||
WarpShape,
|
||||
GemmShape<1, 1, 1>,
|
||||
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::EllGemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial, IsASparse>;
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
/// 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,
|
||||
/// 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,
|
||||
/// Sparse matrix is A or not
|
||||
bool IsASparse
|
||||
>
|
||||
struct DefaultEllGemm<ElementA,
|
||||
LayoutA,
|
||||
kAlignmentA,
|
||||
ElementB,
|
||||
LayoutB,
|
||||
kAlignmentB,
|
||||
ElementC,
|
||||
layout::RowMajor,
|
||||
ElementAccumulator,
|
||||
arch::OpClassSimt,
|
||||
arch::Sm80,
|
||||
ThreadblockShape,
|
||||
WarpShape,
|
||||
GemmShape<1, 1, 1>,
|
||||
EpilogueOutputOp,
|
||||
ThreadblockSwizzle,
|
||||
Stages,
|
||||
SplitKSerial,
|
||||
Operator,
|
||||
IsASparse> {
|
||||
|
||||
/// Define the threadblock-scoped matrix multiply-accumulate
|
||||
using Mma = typename cutlass::gemm::threadblock::DefaultEllMma<
|
||||
ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator, layout::RowMajor, arch::OpClassSimt, arch::Sm80,
|
||||
ThreadblockShape, WarpShape, GemmShape<1, 1, 1>, Stages,
|
||||
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::EllGemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial,IsASparse>;
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
/// 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,
|
||||
/// Sparse matrix is A or not
|
||||
bool IsASparse
|
||||
>
|
||||
struct DefaultEllGemm<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, IsASparse> {
|
||||
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::DefaultEllMma<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::EllGemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial, IsASparse>;
|
||||
};
|
||||
|
||||
#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,
|
||||
/// Sparse matrix is A or not
|
||||
bool IsASparse
|
||||
>
|
||||
struct DefaultEllGemm<
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementC, LayoutC,
|
||||
ElementAccumulator,
|
||||
arch::OpClassWmmaTensorOp,
|
||||
ArchTag,
|
||||
ThreadblockShape, WarpShape, InstructionShape,
|
||||
EpilogueOutputOp,
|
||||
ThreadblockSwizzle,
|
||||
Stages,
|
||||
SplitKSerial,
|
||||
Operator,
|
||||
IsASparse> {
|
||||
/// Define the threadblock-scoped matrix multiply-accumulate
|
||||
using Mma = typename cutlass::gemm::threadblock::DefaultEllMma<
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator, LayoutC,
|
||||
arch::OpClassWmmaTensorOp,
|
||||
ArchTag,
|
||||
ThreadblockShape,
|
||||
WarpShape,
|
||||
InstructionShape,
|
||||
Stages,
|
||||
Operator>::ThreadblockMma;
|
||||
|
||||
static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
|
||||
|
||||
/// Define the epilogue
|
||||
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp<
|
||||
ThreadblockShape,
|
||||
typename Mma::Operator,
|
||||
kPartitionsK,
|
||||
EpilogueOutputOp,
|
||||
EpilogueOutputOp::kCount
|
||||
>::Epilogue;
|
||||
|
||||
/// Define the kernel-level GEMM operator.
|
||||
using GemmKernel = kernel::EllGemm<Mma, Epilogue, ThreadblockSwizzle, SplitKSerial, IsASparse>;
|
||||
};
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
#endif //CUTLASS_ARCH_WMMA_ENABLED
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
} // namespace kernel
|
||||
} // namespace gemm
|
||||
} // namespace cutlass
|
||||
Reference in New Issue
Block a user