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All rights reserved. * * Redistribution and use in source and binary forms, with or without modification, are permitted * provided that the following conditions are met: * * Redistributions of source code must retain the above copyright notice, this list of * conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright notice, this list of * conditions and the following disclaimer in the documentation and/or other materials * provided with the distribution. * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used * to endorse or promote products derived from this software without specific prior written * permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * **************************************************************************************************/ /*! \file \brief Template for a pipelined GEMM kernel. Does not compute batching or support split-K. */ #pragma once #include "cutlass/cutlass.h" #include "cutlass/numeric_types.h" #include "cutlass/arch/arch.h" #include "cutlass/transform/threadblock/predicated_tile_iterator.h" #include "cutlass/transform/threadblock/predicated_tile_iterator_2dthreadtile.h" #include "cutlass/gemm/threadblock/default_mma_core_sm70.h" #include "cutlass/gemm/threadblock/default_mma_core_sm75.h" #include "cutlass/gemm/threadblock/default_mma_core_sm80.h" #include "cutlass/gemm/warp/mma_tensor_op_fragment_iterator.h" #include "threadblock/b2b_mma_pipelined.h" //////////////////////////////////////////////////////////////////////////////// namespace cutlass { namespace gemm { namespace threadblock { //////////////////////////////////////////////////////////////////////////////// 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 internal accumulation typename ElementAccumulator_, /// Layout type for C and D matrix operands typename LayoutC_, /// Operator class tag typename OperatorClass_, /// Tag indicating architecture to tune for typename ArchTag_, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape0_, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape1_, /// Warp-level tile size (concept: GemmShape) typename WarpShape0_, /// Warp-level tile size (concept: GemmShape) typename WarpShape1_, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape_, /// Number of stages used in the pipelined mainloop int Stages, /// Operation perfomed by GEMM typename Operator, /// Epilogue output operator typename EpilogueOutputOp, /// Store the accumulators in row major or column major. Row major is used /// when output layout is interleaved. bool AccumulatorsInRowMajor = false> struct DefaultB2bMma; //////////////////////////////////////////////////////////////////////////////// /// Specialization for row-major output 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 internal accumulation typename ElementAccumulator, /// Tag indicating architecture to tune for typename OperatorClass, /// Tag indicating architecture to tune for typename ArchTag, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape0, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape1, /// Warp-level tile size (concept: GemmShape) typename WarpShape0, /// Warp-level tile size (concept: GemmShape) typename WarpShape1, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape, /// Operation performed by GEMM typename Operator, /// Epilogue output operator typename EpilogueOutputOp> struct DefaultB2bMma { // Define the MmaCore components using MmaCore0 = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape0, WarpShape0, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator, layout::RowMajor, OperatorClass, 2, Operator>; using MmaCore1 = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape1, WarpShape1, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator, layout::RowMajor, OperatorClass, 2, Operator>; // Define iterators over tiles from the A operand using IteratorA0 = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementA, LayoutA, 1, typename MmaCore0::IteratorThreadMapA, kAlignmentA>; // Define iterators over tiles from the B operand using IteratorB0 = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementB, LayoutB, 0, typename MmaCore0::IteratorThreadMapB, kAlignmentB>; // Use fragment iterator for A operand using AccumulatorLayout = cutlass::layout::ColumnMajor; using FragmentIteratorA1 = cutlass::gemm::warp::MmaTensorOpFragmentIterator< cutlass::MatrixShape, //warp shape cutlass::MatrixShape, //accumulator shape MmaCore1::Shape::kK, //kBlocksColumn ElementAccumulator, ElementA, AccumulatorLayout, InstructionShape, EpilogueOutputOp, true>; // Define iterators over tiles from the B operand using IteratorB1 = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementB, LayoutB, 0, typename MmaCore1::IteratorThreadMapB>; // Define the threadblock-scoped pipelined matrix multiply using ThreadblockB2bMma = cutlass::gemm::threadblock::B2bMmaPipelined< typename MmaCore0::Shape, IteratorA0, typename MmaCore0::SmemIteratorA, IteratorB0, typename MmaCore0::SmemIteratorB, typename MmaCore1::Shape, FragmentIteratorA1, IteratorB1, typename MmaCore1::SmemIteratorB, ElementAccumulator, layout::RowMajor, EpilogueOutputOp, typename MmaCore0::MmaPolicy, typename MmaCore1::MmaPolicy>; }; //////////////////////////////////////////////////////////////////////////////// /// Specialization for column-major-interleaved output 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 internal accumulation typename ElementAccumulator, /// Tag indicating architecture to tune for typename OperatorClass, /// Tag indicating architecture to tune for typename ArchTag, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape0, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape1, /// Warp-level tile size (concept: GemmShape) typename WarpShape0, /// Warp-level tile size (concept: GemmShape) typename WarpShape1, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape, /// Operation performed by GEMM typename Operator, /// Epilogue output operator typename EpilogueOutputOp, /// Number of Interleaved K int InterleavedK> struct DefaultB2bMma, OperatorClass, ArchTag, ThreadblockShape0, ThreadblockShape1, WarpShape0, WarpShape1, InstructionShape, 2, Operator, EpilogueOutputOp, true> { // Define the MmaCore components using MmaCore0 = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape0, WarpShape0, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator, layout::ColumnMajorInterleaved, OperatorClass, 2, Operator, true>; using MmaCore1 = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape1, WarpShape1, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator, layout::ColumnMajorInterleaved, OperatorClass, 2, Operator, true>; static_assert(kAlignmentA == 128 / sizeof_bits::value, "Alignment must match thread data map's vector length"); static_assert(kAlignmentB ==128 / sizeof_bits::value, "Alignment must match thread data map's vector length"); // Define iterators over tiles from the A operand using IteratorA0 = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementA, LayoutA, 1, typename MmaCore0::IteratorThreadMapA>; // Define iterators over tiles from the B operand using IteratorB0 = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementB, LayoutB, 0, typename MmaCore0::IteratorThreadMapB>; // Use fragment iterator for A operand using AccumulatorLayout = cutlass::layout::RowMajor; //AccumulatorsInRowMajor = true using FragmentIteratorA1 = cutlass::gemm::warp::MmaTensorOpFragmentIterator< cutlass::MatrixShape, //warp shape cutlass::MatrixShape, //accumulator shape MmaCore1::Shape::kK, //kBlocksColumn ElementAccumulator, ElementA, AccumulatorLayout, InstructionShape, EpilogueOutputOp, true /*only handle beta=0 for 1st Gemm epilogue*/>; // Define iterators over tiles from the B operand using IteratorB1 = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementB, LayoutB, 0, typename MmaCore1::IteratorThreadMapB>; // Define the threadblock-scoped pipelined matrix multiply using ThreadblockB2bMma = cutlass::gemm::threadblock::B2bMmaPipelined< typename MmaCore0::Shape, IteratorA0, typename MmaCore0::SmemIteratorA, IteratorB0, typename MmaCore0::SmemIteratorB, typename MmaCore1::Shape, FragmentIteratorA1, IteratorB1, typename MmaCore1::SmemIteratorB, ElementAccumulator, layout::ColumnMajorInterleaved, EpilogueOutputOp, typename MmaCore0::MmaPolicy, typename MmaCore1::MmaPolicy>; }; //////////////////////////////////////////////////////////////////////////////// } // namespace threadblock } // namespace gemm } // namespace cutlass ////////////////////////////////////////////////////////////////////////////////