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IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS 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 TORT (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/arch/wmma.h" #include "cutlass/layout/matrix.h" #include "cutlass/layout/permute.h" #include "cutlass/transform/threadblock/predicated_tile_iterator.h" #include "cutlass/transform/threadblock/predicated_tile_iterator_2dthreadtile.h" #include "cutlass/gemm/gemm.h" #include "cutlass/gemm/threadblock/default_mma_core_simt.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" #if defined(CUTLASS_ARCH_WMMA_ENABLED) #include "cutlass/gemm/threadblock/default_mma_core_wmma.h" #endif //CUTLASS_ARCH_WMMA_ENABLED //////////////////////////////////////////////////////////////////////////////// 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 ThreadblockShape_, /// Warp-level tile size (concept: GemmShape) typename WarpShape_, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape_, /// Number of stages used in the pipelined mainloop int Stages, /// Operation performed by GEMM typename Operator, /// Store the accumulators in row major or column major. Row major is used /// when output layout is interleaved. bool AccumulatorsInRowMajor = false, /// Use zfill or predicate for out-of-bound cp.async SharedMemoryClearOption SharedMemoryClear = SharedMemoryClearOption::kNone, /// Gather operand A by using an index array bool GatherA = false, /// Gather operand B by using an index array bool GatherB = false, /// Permute operand A typename PermuteALayout = layout::NoPermute, /// Permute operand B typename PermuteBLayout = layout::NoPermute > struct DefaultMma; //////////////////////////////////////////////////////////////////////////////// /// Specialization for row-major output (OperatorClass 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 B matrix in units of elements int kAlignmentB, /// Element type for internal accumulation typename ElementAccumulator, /// Layout type for C and D matrix operand typename LayoutC, /// Tag indicating architecture to tune for typename ArchTag, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape, /// Warp-level tile size (concept: GemmShape) typename WarpShape, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape, /// Operation performed by GEMM typename Operator, /// Gather operand A by using an index array bool GatherA, /// Gather operand B by using an index array bool GatherB, /// Permute operand A typename PermuteALayout, /// Permute operand B typename PermuteBLayout > struct DefaultMma { static_assert(platform::is_same::value || platform::is_same>::value, "simt epilogue must be row major"); // Define the MmaCore components using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator, LayoutC, arch::OpClassSimt, 2, Operator>; // Define iterators over tiles from the A operand using IteratorA = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementA, LayoutA, 1, typename MmaCore::IteratorThreadMapA, kAlignmentA, GatherA, PermuteALayout>; // Define iterators over tiles from the B operand using IteratorB = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementB, LayoutB, 0, typename MmaCore::IteratorThreadMapB, kAlignmentB, GatherB, PermuteBLayout>; // Define the threadblock-scoped pipelined matrix multiply using ThreadblockMma = cutlass::gemm::threadblock::MmaPipelined< typename MmaCore::Shape, IteratorA, typename MmaCore::SmemIteratorA, IteratorB, typename MmaCore::SmemIteratorB, ElementAccumulator, LayoutC, typename MmaCore::MmaPolicy>; }; //////////////////////////////////////////////////////////////////////////////// /// Specialization for row-major output (OperatorClass TensorOp) 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 ArchTag, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape, /// Warp-level tile size (concept: GemmShape) typename WarpShape, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape, /// Operation performed by GEMM typename Operator, /// Use zfill or predicate for out-of-bound cp.async SharedMemoryClearOption SharedMemoryClear, /// Gather operand A by using an index array bool GatherA, /// Gather operand B by using an index array bool GatherB, /// Permute operand A typename PermuteALayout, /// Permute operand B typename PermuteBLayout > struct DefaultMma { // Define the MmaCore components using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, 2, Operator>; // Define iterators over tiles from the A operand using IteratorA = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementA, LayoutA, 1, typename MmaCore::IteratorThreadMapA, kAlignmentA, GatherA, PermuteALayout>; // Define iterators over tiles from the B operand using IteratorB = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementB, LayoutB, 0, typename MmaCore::IteratorThreadMapB, kAlignmentB, GatherB, PermuteBLayout>; // Define the threadblock-scoped pipelined matrix multiply using ThreadblockMma = cutlass::gemm::threadblock::MmaPipelined< typename MmaCore::Shape, IteratorA, typename MmaCore::SmemIteratorA, IteratorB, typename MmaCore::SmemIteratorB, ElementAccumulator, layout::RowMajor, typename MmaCore::MmaPolicy>; }; //////////////////////////////////////////////////////////////////////////////// /// Specialization for row-major output (OperatorClass TensorOp) 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 B matrix in units of elements int kAlignmentB, /// Tag indicating architecture to tune for typename ArchTag, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape, /// Warp-level tile size (concept: GemmShape) typename WarpShape, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape, /// Operation performed by GEMM typename Operator, /// Gather operand A by using an index array bool GatherA, /// Gather operand B by using an index array bool GatherB, /// Permute operand A typename PermuteALayout, /// Permute operand B typename PermuteBLayout > struct DefaultMma { // Define the MmaCore components using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape, WarpShape, InstructionShape, float, LayoutA, float, LayoutB, float, layout::RowMajor, arch::OpClassTensorOp, 2, arch::OpMultiplyAddFastF16>; // Define iterators over tiles from the A operand using IteratorA = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, float, LayoutA, 1, typename MmaCore::IteratorThreadMapA, kAlignmentA, GatherA, PermuteALayout>; // Define iterators over tiles from the B operand using IteratorB = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, float, LayoutB, 0, typename MmaCore::IteratorThreadMapB, kAlignmentB, GatherB, PermuteBLayout>; // Define the threadblock-scoped pipelined matrix multiply using ThreadblockMma = cutlass::gemm::threadblock::MmaPipelined< typename MmaCore::Shape, IteratorA, typename MmaCore::SmemIteratorA, IteratorB, typename MmaCore::SmemIteratorB, float, layout::RowMajor, typename MmaCore::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 ThreadblockShape, /// Warp-level tile size (concept: GemmShape) typename WarpShape, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape, /// Operation performed by GEMM typename Operator, /// Number of Interleaved K int InterleavedK> struct DefaultMma, OperatorClass, ArchTag, ThreadblockShape, WarpShape, InstructionShape, 2, Operator, true, SharedMemoryClearOption::kNone, false, false, layout::NoPermute, layout::NoPermute> { // Define the MmaCore components using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape, WarpShape, 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 IteratorA = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementA, LayoutA, 1, typename MmaCore::IteratorThreadMapA>; // Define iterators over tiles from the B operand using IteratorB = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementB, LayoutB, 0, typename MmaCore::IteratorThreadMapB>; // Define the threadblock-scoped pipelined matrix multiply using ThreadblockMma = cutlass::gemm::threadblock::MmaPipelined< typename MmaCore::Shape, IteratorA, typename MmaCore::SmemIteratorA, IteratorB, typename MmaCore::SmemIteratorB, ElementAccumulator, layout::ColumnMajorInterleaved, typename MmaCore::MmaPolicy>; }; //////////////////////////////////////////////////////////////////////////////// /// 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, /// Layout type for C and D matrix operand typename LayoutC, /// Tag indicating architecture to tune for typename ArchTag, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape, /// Warp-level tile size (concept: GemmShape) typename WarpShape, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape, /// Number of stages used in the multistage mainloop int Stages, /// Operation performed by GEMM typename Operator, /// Gather operand A by using an index array bool GatherA, /// Gather operand B by using an index array bool GatherB, /// Permute operand A typename PermuteALayout, /// Permute operand B typename PermuteBLayout > struct DefaultMma { static_assert(platform::is_same::value || platform::is_same>::value, "simt epilogue must be row major"); // Define the MmaCore components using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator, LayoutC, arch::OpClassSimt, Stages, Operator>; // Define iterators over tiles from the A operand using ThreadMapA = typename MmaCore::IteratorThreadMapA; using AccessTypeA = cutlass::Array; using IteratorA = cutlass::transform::threadblock::PredicatedTileAccessIterator< cutlass::MatrixShape, ElementA, LayoutA, 1, ThreadMapA, AccessTypeA, GatherA, PermuteALayout>; // Define iterators over tiles from the B operand using ThreadMapB = typename MmaCore::IteratorThreadMapB; using AccessTypeB = cutlass::Array; using IteratorB = cutlass::transform::threadblock::PredicatedTileAccessIterator< cutlass::MatrixShape, ElementB, LayoutB, 0, ThreadMapB, AccessTypeB, GatherB, PermuteBLayout>; // Define the threadblock-scoped multistage matrix multiply using ThreadblockMma = cutlass::gemm::threadblock::MmaMultistage< typename MmaCore::Shape, IteratorA, typename MmaCore::SmemIteratorA, MmaCore::kCacheOpA, IteratorB, typename MmaCore::SmemIteratorB, MmaCore::kCacheOpB, ElementAccumulator, LayoutC, typename MmaCore::MmaPolicy, Stages>; }; //////////////////////////////////////////////////////////////////////////////// /// Specialization for row-major output (OperatorClass TensorOp) 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 operand typename LayoutC, /// Tag indicating architecture to tune for typename ArchTag, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape, /// Warp-level tile size (concept: GemmShape) typename WarpShape, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape, /// Number of stages used in the multistage mainloop int Stages, /// Operation performed by GEMM typename Operator, /// Use zfill or predicate for out-of-bound cp.async SharedMemoryClearOption SharedMemoryClear, /// Gather operand A by using an index array bool GatherA, /// Gather operand B by using an index array bool GatherB, /// Permute operand A typename PermuteALayout, /// Permute operand B typename PermuteBLayout > struct DefaultMma { static_assert(platform::is_same::value || platform::is_same>::value, "simt epilogue must be row major"); static cutlass::arch::CacheOperation::Kind const CacheOpA = ((sizeof_bits::value * kAlignmentA) == 128) ? cutlass::arch::CacheOperation::Global : cutlass::arch::CacheOperation::Always; static cutlass::arch::CacheOperation::Kind const CacheOpB = ((sizeof_bits::value * kAlignmentB) == 128) ? cutlass::arch::CacheOperation::Global : cutlass::arch::CacheOperation::Always; // Define the MmaCore components using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator, LayoutC, arch::OpClassTensorOp, Stages, Operator, false, CacheOpA, CacheOpB>; // Define iterators over tiles from the A operand using ThreadMapA = typename MmaCore::IteratorThreadMapA; using AccessTypeA = cutlass::Array; using IteratorA = cutlass::transform::threadblock::PredicatedTileAccessIterator< cutlass::MatrixShape, ElementA, LayoutA, 1, ThreadMapA, AccessTypeA, GatherA, PermuteALayout>; // Define iterators over tiles from the B operand using ThreadMapB = typename MmaCore::IteratorThreadMapB; using AccessTypeB = cutlass::Array; using IteratorB = cutlass::transform::threadblock::PredicatedTileAccessIterator< cutlass::MatrixShape, ElementB, LayoutB, 0, ThreadMapB, AccessTypeB, GatherB, PermuteBLayout>; // Define the threadblock-scoped multistage matrix multiply using ThreadblockMma = cutlass::gemm::threadblock::MmaMultistage< typename MmaCore::Shape, IteratorA, typename MmaCore::SmemIteratorA, MmaCore::kCacheOpA, IteratorB, typename MmaCore::SmemIteratorB, MmaCore::kCacheOpB, ElementAccumulator, LayoutC, typename MmaCore::MmaPolicy, Stages, SharedMemoryClear>; }; //////////////////////////////////////////////////////////////////////////////// /// 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 ThreadblockShape, /// Warp-level tile size (concept: GemmShape) typename WarpShape, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape, /// Number of stages used in the multistage mainloop int Stages, /// Operation performed by GEMM typename Operator, /// Number of Interleaved K int InterleavedK> struct DefaultMma, OperatorClass, ArchTag, ThreadblockShape, WarpShape, InstructionShape, Stages, Operator, true, SharedMemoryClearOption::kNone, false, false, layout::NoPermute, layout::NoPermute> { // Define the MmaCore components using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator, layout::ColumnMajorInterleaved, OperatorClass, Stages, Operator, true>; // Define iterators over tiles from the A operand using ThreadMapA = typename MmaCore::IteratorThreadMapA; using AccessTypeA = cutlass::Array; using IteratorA = cutlass::transform::threadblock::PredicatedTileAccessIterator< cutlass::MatrixShape, ElementA, LayoutA, 1, ThreadMapA, AccessTypeA>; // Define iterators over tiles from the B operand using ThreadMapB = typename MmaCore::IteratorThreadMapB; using AccessTypeB = cutlass::Array; using IteratorB = cutlass::transform::threadblock::PredicatedTileAccessIterator< cutlass::MatrixShape, ElementB, LayoutB, 0, ThreadMapB, AccessTypeB>; // Define the threadblock-scoped multistage matrix multiply using ThreadblockMma = cutlass::gemm::threadblock::MmaMultistage< typename MmaCore::Shape, IteratorA, typename MmaCore::SmemIteratorA, MmaCore::kCacheOpA, IteratorB, typename MmaCore::SmemIteratorB, MmaCore::kCacheOpB, ElementAccumulator, layout::RowMajor, typename MmaCore::MmaPolicy, Stages>; }; //////////////////////////////////////////////////////////////////////////////// /// Specialization for SIMT IDP4A Kernels 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 B matrix in units of elements int kAlignmentB, /// Element type for internal accumulation typename ElementAccumulator, /// Tag indicating architecture to tune for typename ArchTag, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape, /// Operation performed by GEMM typename Operator, /// Warp-level tile size (concept: GemmShape) typename WarpShape> struct DefaultMma, 2, Operator, false, SharedMemoryClearOption::kNone, false, false, layout::NoPermute, layout::NoPermute> { using InstructionShape = GemmShape<1, 1, 4>; using ElementA = int8_t; using ElementB = int8_t; using OperatorClass = arch::OpClassSimt; static const bool transposeA = platform::is_same< LayoutA, layout::ColumnMajor >::value; static const bool transposeB = platform::is_same< LayoutB, layout::RowMajor >::value; // Define the MmaCore components using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator, layout::RowMajor, OperatorClass, 2, Operator>; // Define iterators over tiles from the A operand using IteratorA = cutlass::transform::threadblock::PredicatedTileIterator2dThreadTile< cutlass::MatrixShape, ElementA, LayoutA, 1, typename MmaCore::IteratorThreadMapA, transposeA>; // Define iterators over tiles from the B operand using IteratorB = cutlass::transform::threadblock::PredicatedTileIterator2dThreadTile< cutlass::MatrixShape, ElementB, LayoutB, 0, typename MmaCore::IteratorThreadMapB, transposeB>; // Define the threadblock-scoped pipelined matrix multiply using ThreadblockMma = cutlass::gemm::threadblock::MmaPipelined< typename MmaCore::Shape, IteratorA, typename MmaCore::SmemIteratorA, IteratorB, typename MmaCore::SmemIteratorB, ElementAccumulator, layout::RowMajor, typename MmaCore::MmaPolicy>; }; //////////////////////////////////////////////////////////////////////////////// #if defined(CUTLASS_ARCH_WMMA_ENABLED) /// Specialization for Wmma TensorOp operator with 2 staged pipeline 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, /// Tag indicating architecture to tune for typename ArchTag, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape, /// Warp-level tile size (concept: GemmShape) typename WarpShape, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape, /// Operation performed by GEMM typename Operator> struct DefaultMma { // Define the MmaCore components using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator, LayoutC, arch::OpClassWmmaTensorOp, 2, Operator>; // Define iterators over tiles from the A operand using IteratorA = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementA, LayoutA, 1, typename MmaCore::IteratorThreadMapA, kAlignmentA>; // Define iterators over tiles from the B operand using IteratorB = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementB, LayoutB, 0, typename MmaCore::IteratorThreadMapB, kAlignmentB>; // Define the threadblock-scoped pipelined matrix multiply using ThreadblockMma = cutlass::gemm::threadblock::MmaPipelined< typename MmaCore::Shape, IteratorA, typename MmaCore::SmemIteratorA, IteratorB, typename MmaCore::SmemIteratorB, ElementAccumulator, LayoutC, typename MmaCore::MmaPolicy>; }; //////////////////////////////////////////////////////////////////////////////// /// Specialization for Wmma TensorOp operator with 1 staged pipeline 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, /// Tag indicating architecture to tune for typename ArchTag, /// Threadblock-level tile size (concept: GemmShape) typename ThreadblockShape, /// Warp-level tile size (concept: GemmShape) typename WarpShape, /// Instruction-level tile size (concept: GemmShape) typename InstructionShape, /// Operation performed by GEMM typename Operator> struct DefaultMma { // Define the MmaCore components using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore< ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA, ElementB, LayoutB, ElementAccumulator, LayoutC, arch::OpClassWmmaTensorOp, 1, Operator>; // Define iterators over tiles from the A operand using IteratorA = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementA, LayoutA, 1, typename MmaCore::IteratorThreadMapA, kAlignmentA>; // Define iterators over tiles from the B operand using IteratorB = cutlass::transform::threadblock::PredicatedTileIterator< cutlass::MatrixShape, ElementB, LayoutB, 0, typename MmaCore::IteratorThreadMapB, kAlignmentB>; // Define the threadblock-scoped singlestage matrix multiply using ThreadblockMma = cutlass::gemm::threadblock::MmaSingleStage< typename MmaCore::Shape, IteratorA, typename MmaCore::SmemIteratorA, IteratorB, typename MmaCore::SmemIteratorB, ElementAccumulator, LayoutC, typename MmaCore::MmaPolicy>; }; //////////////////////////////////////////////////////////////////////////////// #endif //CUTLASS_ARCH_WMMA_ENABLED } // namespace threadblock } // namespace gemm } // namespace cutlass ////////////////////////////////////////////////////////////////////////////////