297 lines
11 KiB
C
297 lines
11 KiB
C
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/***************************************************************************************************
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* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
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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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* * Redistributions of source code must retain the above copyright notice,
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*this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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*notice, this list of conditions and the following disclaimer in the
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*documentation and/or other materials provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its
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*contributors may be used to endorse or promote products derived from this
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*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 NVIDIA CORPORATION BE LIABLE FOR ANY DIRECT,
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*INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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*DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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*OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TOR (INCLUDING
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*NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
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*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/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_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_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 "kernel/b2b_gemm.h"
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#include "threadblock/default_b2b_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 ThreadblockShape0,
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/// Threadblock-level tile size (concept: GemmShape)
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typename ThreadblockShape1,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape0,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape1,
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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 EpilogueOutputOp0,
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/// Epilogue output operator
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typename EpilogueOutputOp1,
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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 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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/// Beta is zero or not
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bool IsBetaZero = false
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>
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struct DefaultB2bGemm;
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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 ThreadblockShape0,
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/// Threadblock-level tile size (concept: GemmShape)
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typename ThreadblockShape1,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape0,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape1,
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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 EpilogueOutputOp0,
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/// Epilogue output operator
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typename EpilogueOutputOp1,
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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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>
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struct DefaultB2bGemm<
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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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ThreadblockShape0,
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ThreadblockShape1,
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WarpShape0,
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WarpShape1,
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InstructionShape,
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EpilogueOutputOp0,
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EpilogueOutputOp1,
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ThreadblockSwizzle,
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2,
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SplitKSerial,
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Operator
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> {
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/// Define the threadblock-scoped matrix multiply-accumulate
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using B2bMma = typename cutlass::gemm::threadblock::DefaultB2bMma<
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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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ThreadblockShape0,
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ThreadblockShape1,
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WarpShape0,
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WarpShape1,
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InstructionShape,
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2,
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Operator,
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EpilogueOutputOp0
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>::ThreadblockB2bMma;
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static const int kPartitionsK1 = ThreadblockShape1::kK / WarpShape1::kK;
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/// Define the epilogue
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using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOp<
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ThreadblockShape1,
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typename B2bMma::Operator1,
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kPartitionsK1,
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EpilogueOutputOp1,
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EpilogueOutputOp1::kCount
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>::Epilogue;
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/// Define the kernel-level GEMM operator.
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using B2bGemmKernel = kernel::B2bGemm<B2bMma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
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};
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/// Partial specialization for Turing IMMA 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 ThreadblockShape0,
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/// Threadblock-level tile size (concept: GemmShape)
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typename ThreadblockShape1,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape0,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape1,
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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 EpilogueOutputOp0,
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/// Epilogue output operator
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typename EpilogueOutputOp1,
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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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/// Is Beta zero or not
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bool IsBetaZero>
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struct DefaultB2bGemm<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,
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ThreadblockShape0, ThreadblockShape1, WarpShape0, WarpShape1,
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InstructionShape, EpilogueOutputOp0, EpilogueOutputOp1,
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ThreadblockSwizzle, 2, SplitKSerial, Operator, IsBetaZero> {
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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 B2bMma = typename cutlass::gemm::threadblock::DefaultB2bMma<
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ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementAccumulator, LayoutC,
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arch::OpClassTensorOp, arch::Sm75, ThreadblockShape0, ThreadblockShape1,
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WarpShape0, WarpShape1, InstructionShape, 2, Operator, EpilogueOutputOp0, true>::ThreadblockB2bMma;
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static const int kPartitionsK1 = ThreadblockShape1::kK / WarpShape1::kK;
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/// Define the epilogue for the 2nd Gemm
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using Epilogue = typename cutlass::epilogue::threadblock::
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DefaultInterleavedEpilogueTensorOp<
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ThreadblockShape1, typename B2bMma::Operator1, kPartitionsK1, EpilogueOutputOp1,
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64 / sizeof_bits<ElementC>::value, InterleavedK,
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IsBetaZero>::Epilogue;
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/// Define the kernel-level GEMM operator.
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using B2bGemmKernel = kernel::B2bGemm<B2bMma, Epilogue, ThreadblockSwizzle, SplitKSerial>;
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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
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