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//////////////////////////////////////////////////////////////////////////////// /// Partial specialization for Hopper 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 A matrix in units of elements int kAlignmentB, /// Element type for C and D matrix operands typename ElementC, /// Fill Mode for C (kLower or kUpper) FillMode FillModeC, /// Element type for internal accumulation typename ElementAccumulator, /// 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> struct DefaultRank2K< ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementC,layout::RowMajor, FillModeC, ElementAccumulator, arch::OpClassTensorOp, arch::Sm90, ThreadblockShape, WarpShape, InstructionShape, EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial, Operator> { /// Define the threadblock-scoped matrix multiply-accumulate (A x BT) using Mma1 = typename cutlass::gemm::threadblock::DefaultMma< ElementA, LayoutA, kAlignmentA, ElementB, typename layout::LayoutTranspose::type, kAlignmentB, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm90, ThreadblockShape, WarpShape, InstructionShape, Stages, Operator>::ThreadblockMma; /// Define the threadblock-scoped matrix multiply-accumulate (B x AT) using Mma2 = typename cutlass::gemm::threadblock::DefaultMma< ElementB, LayoutB, kAlignmentB, ElementA, typename layout::LayoutTranspose::type, kAlignmentA, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm90, ThreadblockShape, WarpShape, InstructionShape, Stages, Operator>::ThreadblockMma; static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK; /// Define the epilogue using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOpBlas3< ThreadblockShape, typename Mma1::Operator, kPartitionsK, EpilogueOutputOp, EpilogueOutputOp::kCount, BlasMode::kSymmetric>::Epilogue; /// Define the kernel-level Rank2K operator. using Rank2Kkernel = kernel::Rank2KUniversal; }; //////////////////////////////////////////////////////////////////////////////// /// Partial specialization for Ampere 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 A matrix in units of elements int kAlignmentB, /// Element type for C and D matrix operands typename ElementC, /// Fill Mode for C (kLower or kUpper) FillMode FillModeC, /// Element type for internal accumulation typename ElementAccumulator, /// 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> struct DefaultRank2K< ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementC,layout::RowMajor, FillModeC, ElementAccumulator, arch::OpClassTensorOp, arch::Sm80, ThreadblockShape, WarpShape, InstructionShape, EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial, Operator> { /// Define the threadblock-scoped matrix multiply-accumulate (A x BT) using Mma1 = typename cutlass::gemm::threadblock::DefaultMma< ElementA, LayoutA, kAlignmentA, ElementB, typename layout::LayoutTranspose::type, kAlignmentB, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80, ThreadblockShape, WarpShape, InstructionShape, Stages, Operator>::ThreadblockMma; /// Define the threadblock-scoped matrix multiply-accumulate (B x AT) using Mma2 = typename cutlass::gemm::threadblock::DefaultMma< ElementB, LayoutB, kAlignmentB, ElementA, typename layout::LayoutTranspose::type, kAlignmentA, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80, ThreadblockShape, WarpShape, InstructionShape, Stages, Operator>::ThreadblockMma; static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK; /// Define the epilogue using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOpBlas3< ThreadblockShape, typename Mma1::Operator, kPartitionsK, EpilogueOutputOp, EpilogueOutputOp::kCount, BlasMode::kSymmetric>::Epilogue; /// Define the kernel-level Rank2K operator. using Rank2Kkernel = kernel::Rank2KUniversal; }; //////////////////////////////////////////////////////////////////////////////// } // namespace kernel } // namespace gemm } // namespace cutlass