290 lines
13 KiB
C
290 lines
13 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 modification, are permitted
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* provided that the following conditions are met:
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* * Redistributions of source code must retain the above copyright notice, this list of
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* conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright notice, this list of
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* conditions and the following disclaimer in the documentation and/or other materials
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* provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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* to endorse or promote products derived from this software without specific prior written
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* permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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* FOR ANY DIRECT, 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, DATA, OR PROFITS;
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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* STRICT LIABILITY, OR TOR (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 Template for a pipelined GEMM kernel. Does not compute batching or support split-K.
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*/
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#pragma once
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#include "cutlass/cutlass.h"
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#include "cutlass/numeric_types.h"
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#include "cutlass/arch/arch.h"
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#include "cutlass/transform/threadblock/predicated_tile_iterator.h"
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#include "cutlass/transform/threadblock/predicated_tile_iterator_2dthreadtile.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_sm75.h"
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#include "cutlass/gemm/threadblock/default_mma_core_sm80.h"
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#include "cutlass/gemm/warp/mma_tensor_op_fragment_iterator.h"
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#include "threadblock/b2b_mma_pipelined.h"
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////////////////////////////////////////////////////////////////////////////////
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namespace cutlass {
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namespace gemm {
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namespace threadblock {
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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 internal accumulation
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typename ElementAccumulator_,
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/// Layout type for C and D matrix operands
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typename LayoutC_,
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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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/// Instruction-level tile size (concept: GemmShape)
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typename InstructionShape_,
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/// Number of stages used in the pipelined mainloop
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int Stages,
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/// Operation perfomed by GEMM
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typename Operator,
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/// Epilogue output operator
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typename EpilogueOutputOp,
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/// Store the accumulators in row major or column major. Row major is used
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/// when output layout is interleaved.
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bool AccumulatorsInRowMajor = false>
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struct DefaultB2bMma;
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////////////////////////////////////////////////////////////////////////////////
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/// Specialization for row-major output
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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 internal accumulation
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typename ElementAccumulator,
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/// Tag indicating architecture to tune for
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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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/// Instruction-level tile size (concept: GemmShape)
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typename InstructionShape,
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/// Operation performed by GEMM
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typename Operator,
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/// Epilogue output operator
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typename EpilogueOutputOp>
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struct DefaultB2bMma<ElementA, LayoutA, kAlignmentA, ElementB, LayoutB,
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kAlignmentB, ElementAccumulator, layout::RowMajor,
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OperatorClass, ArchTag,
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ThreadblockShape0, ThreadblockShape1,
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WarpShape0, WarpShape1,
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InstructionShape, 2, Operator, EpilogueOutputOp, false> {
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// Define the MmaCore components
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using MmaCore0 = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape0, WarpShape0, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementAccumulator, layout::RowMajor,
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OperatorClass, 2, Operator>;
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using MmaCore1 = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape1, WarpShape1, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementAccumulator, layout::RowMajor,
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OperatorClass, 2, Operator>;
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// Define iterators over tiles from the A operand
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using IteratorA0 =
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cutlass::transform::threadblock::PredicatedTileIterator<
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cutlass::MatrixShape<MmaCore0::Shape::kM, MmaCore0::Shape::kK>,
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ElementA, LayoutA, 1, typename MmaCore0::IteratorThreadMapA, kAlignmentA>;
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// Define iterators over tiles from the B operand
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using IteratorB0 =
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cutlass::transform::threadblock::PredicatedTileIterator<
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cutlass::MatrixShape<MmaCore0::Shape::kK, MmaCore0::Shape::kN>,
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ElementB, LayoutB, 0, typename MmaCore0::IteratorThreadMapB, kAlignmentB>;
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// Use fragment iterator for A operand
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using AccumulatorLayout = cutlass::layout::ColumnMajor;
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using FragmentIteratorA1 =
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cutlass::gemm::warp::MmaTensorOpFragmentIterator<
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cutlass::MatrixShape<MmaCore1::WarpShape::kM, MmaCore1::InstructionShape::kK>, //warp shape
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cutlass::MatrixShape<MmaCore0::WarpShape::kM, MmaCore0::WarpShape::kN>, //accumulator shape
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MmaCore1::Shape::kK, //kBlocksColumn
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ElementAccumulator, ElementA, AccumulatorLayout, InstructionShape, EpilogueOutputOp, true>;
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// Define iterators over tiles from the B operand
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using IteratorB1 =
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cutlass::transform::threadblock::PredicatedTileIterator<
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cutlass::MatrixShape<MmaCore1::Shape::kK, MmaCore1::Shape::kN>,
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ElementB, LayoutB, 0, typename MmaCore1::IteratorThreadMapB>;
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// Define the threadblock-scoped pipelined matrix multiply
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using ThreadblockB2bMma = cutlass::gemm::threadblock::B2bMmaPipelined<
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typename MmaCore0::Shape, IteratorA0, typename MmaCore0::SmemIteratorA,
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IteratorB0, typename MmaCore0::SmemIteratorB,
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typename MmaCore1::Shape, FragmentIteratorA1,
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IteratorB1, typename MmaCore1::SmemIteratorB,
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ElementAccumulator, layout::RowMajor,
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EpilogueOutputOp,
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typename MmaCore0::MmaPolicy, typename MmaCore1::MmaPolicy>;
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};
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////////////////////////////////////////////////////////////////////////////////
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/// Specialization for column-major-interleaved output
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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 internal accumulation
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typename ElementAccumulator,
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/// Tag indicating architecture to tune for
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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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/// Instruction-level tile size (concept: GemmShape)
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typename InstructionShape,
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/// Operation performed by GEMM
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typename Operator,
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/// Epilogue output operator
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typename EpilogueOutputOp,
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/// Number of Interleaved K
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int InterleavedK>
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struct DefaultB2bMma<ElementA, LayoutA, kAlignmentA, ElementB, LayoutB,
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kAlignmentB, ElementAccumulator,
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layout::ColumnMajorInterleaved<InterleavedK>, OperatorClass, ArchTag,
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ThreadblockShape0, ThreadblockShape1, WarpShape0, WarpShape1,
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InstructionShape, 2, Operator, EpilogueOutputOp, true> {
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// Define the MmaCore components
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using MmaCore0 = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape0, WarpShape0, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementAccumulator,
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layout::ColumnMajorInterleaved<InterleavedK>, OperatorClass, 2, Operator,
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true>;
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using MmaCore1 = typename cutlass::gemm::threadblock::DefaultMmaCore<
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ThreadblockShape1, WarpShape1, InstructionShape, ElementA, LayoutA,
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ElementB, LayoutB, ElementAccumulator,
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layout::ColumnMajorInterleaved<InterleavedK>, OperatorClass, 2, Operator,
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true>;
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static_assert(kAlignmentA == 128 / sizeof_bits<ElementA>::value,
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"Alignment must match thread data map's vector length");
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static_assert(kAlignmentB ==128 / sizeof_bits<ElementB>::value,
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"Alignment must match thread data map's vector length");
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// Define iterators over tiles from the A operand
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using IteratorA0 = cutlass::transform::threadblock::PredicatedTileIterator<
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cutlass::MatrixShape<MmaCore0::Shape::kM, MmaCore0::Shape::kK>, ElementA,
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LayoutA, 1, typename MmaCore0::IteratorThreadMapA>;
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// Define iterators over tiles from the B operand
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using IteratorB0 = cutlass::transform::threadblock::PredicatedTileIterator<
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cutlass::MatrixShape<MmaCore0::Shape::kK, MmaCore0::Shape::kN>, ElementB,
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LayoutB, 0, typename MmaCore0::IteratorThreadMapB>;
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// Use fragment iterator for A operand
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using AccumulatorLayout = cutlass::layout::RowMajor; //AccumulatorsInRowMajor = true
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using FragmentIteratorA1 =
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cutlass::gemm::warp::MmaTensorOpFragmentIterator<
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cutlass::MatrixShape<MmaCore1::WarpShape::kM, MmaCore1::InstructionShape::kK>, //warp shape
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cutlass::MatrixShape<MmaCore0::WarpShape::kM, MmaCore0::WarpShape::kN>, //accumulator shape
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MmaCore1::Shape::kK, //kBlocksColumn
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ElementAccumulator, ElementA, AccumulatorLayout,
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InstructionShape, EpilogueOutputOp, true /*only handle beta=0 for 1st Gemm epilogue*/>;
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// Define iterators over tiles from the B operand
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using IteratorB1 =
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cutlass::transform::threadblock::PredicatedTileIterator<
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cutlass::MatrixShape<MmaCore1::Shape::kK, MmaCore1::Shape::kN>,
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ElementB, LayoutB, 0, typename MmaCore1::IteratorThreadMapB>;
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// Define the threadblock-scoped pipelined matrix multiply
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using ThreadblockB2bMma = cutlass::gemm::threadblock::B2bMmaPipelined<
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typename MmaCore0::Shape, IteratorA0, typename MmaCore0::SmemIteratorA,
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IteratorB0, typename MmaCore0::SmemIteratorB,
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typename MmaCore1::Shape, FragmentIteratorA1,
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IteratorB1, typename MmaCore1::SmemIteratorB,
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ElementAccumulator, layout::ColumnMajorInterleaved<InterleavedK>,
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EpilogueOutputOp,
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typename MmaCore0::MmaPolicy, typename MmaCore1::MmaPolicy>;
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};
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////////////////////////////////////////////////////////////////////////////////
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} // namespace threadblock
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} // namespace gemm
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} // namespace cutlass
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////////////////////////////////////////////////////////////////////////////////
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