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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 Default kernel-level SYMM/HEMM definitions combine threadblock-scoped matrix multiply-add with the appropriate threadblock-scoped epilogue. */ #pragma once #include "cutlass/blas3.h" #include "cutlass/layout/matrix.h" #include "cutlass/arch/wmma.h" #include "cutlass/epilogue/threadblock/epilogue.h" #include "cutlass/epilogue/thread/linear_combination.h" #include "cutlass/gemm/gemm.h" #include "cutlass/gemm/kernel/symm_universal.h" #include "cutlass/gemm/threadblock/default_mma_core_sm75.h" #include "cutlass/gemm/threadblock/default_mma_core_sm70.h" #include "cutlass/gemm/threadblock/default_mma_core_sm80.h" #include "cutlass/gemm/threadblock/default_trmm.h" #include "cutlass/gemm/threadblock/default_mma.h" #include "cutlass/gemm/threadblock/default_mma_core_simt.h" #include "cutlass/gemm/threadblock/threadblock_swizzle.h" #include "cutlass/epilogue/threadblock/default_epilogue_tensor_op.h" #include "cutlass/epilogue/threadblock/default_epilogue_volta_tensor_op.h" #include "cutlass/epilogue/threadblock/default_epilogue_simt.h" #include "cutlass/transform/threadblock/predicated_tile_iterator.h" #if defined(CUTLASS_ARCH_WMMA_ENABLED) #include "cutlass/epilogue/threadblock/default_epilogue_wmma_tensor_op.h" #endif //CUTLASS_ARCH_WMMA_ENABLED //////////////////////////////////////////////////////////////////////////////// namespace cutlass { namespace gemm { namespace kernel { //////////////////////////////////////////////////////////////////////////////// template < /// Element type for A matrix operand typename ElementA_, /// Layout type for A matrix operand typename LayoutA_, /// Side Mode for A (kLeft or kRight) SideMode kSideModeA, /// Fill Mode for A (kLower or kUpper) FillMode kFillModeA, /// 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 C and D matrix operands typename ElementC_, /// Layout type for C and D matrix operands typename LayoutC_, /// Element type for internal accumulation typename ElementAccumulator, /// 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, /// 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, /// Blas3 computation mode BlasMode BlasMode_ = BlasMode::kSymmetric> struct DefaultSymm; //////////////////////////////////////////////////////////////////////////////// /// Partial specialization for Hopper Architecture template < /// Element type for A matrix operand typename ElementA, /// Layout type for A matrix operand typename LayoutA, /// Side Mode for A (kLeft or kRight) SideMode kSideModeA, /// Fill Mode for A (kLower or kUpper) FillMode kFillModeA, /// 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, /// 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 DefaultSymm< ElementA, LayoutA, kSideModeA, kFillModeA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementC,layout::RowMajor, ElementAccumulator, arch::OpClassTensorOp, arch::Sm90, ThreadblockShape, WarpShape, InstructionShape, EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial, Operator> { /// Define the threadblock-scoped triagular matrix multiply-accumulate /// TRMM - with diagonal: alpha * A * B or alpha * B * A static const DiagType kDiagTypeMma1 = DiagType::kNonUnit; using Mma1 = typename cutlass::gemm::threadblock::DefaultTrmm< ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, kSideModeA, kFillModeA, kDiagTypeMma1, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm90, ThreadblockShape, WarpShape, InstructionShape, Stages, Operator>::ThreadblockMma; /// Define the threadblock-scoped triagular matrix multiply-accumulate /// TRMM - withOUT diagonal: alpha * AT * B or alpha * B * AT static const DiagType kDiagTypeMma2 = DiagType::kZero; using LayoutAMma2 = typename platform::conditional< (kSideModeA == SideMode::kLeft), typename layout::LayoutTranspose::type, LayoutA >::type; using LayoutBMma2 = typename platform::conditional< (kSideModeA == SideMode::kLeft), LayoutB, typename layout::LayoutTranspose::type >::type; using Mma2 = typename cutlass::gemm::threadblock::DefaultTrmm< ElementA, LayoutAMma2, kAlignmentA, ElementB, LayoutBMma2, kAlignmentB, kSideModeA, InvertFillMode::mode, kDiagTypeMma2, 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::DefaultEpilogueTensorOp< ThreadblockShape, typename Mma1::Operator, kPartitionsK, EpilogueOutputOp, EpilogueOutputOp::kCount>::Epilogue; /// Define the kernel-level SYMM/HEMM operator. using SymmKernel = kernel::SymmUniversal; }; //////////////////////////////////////////////////////////////////////////////// /// Partial specialization for Ampere Architecture template < /// Element type for A matrix operand typename ElementA, /// Layout type for A matrix operand typename LayoutA, /// Side Mode for A (kLeft or kRight) SideMode kSideModeA, /// Fill Mode for A (kLower or kUpper) FillMode kFillModeA, /// 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, /// 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 DefaultSymm< ElementA, LayoutA, kSideModeA, kFillModeA, kAlignmentA, ElementB, LayoutB, kAlignmentB, ElementC,layout::RowMajor, ElementAccumulator, arch::OpClassTensorOp, arch::Sm80, ThreadblockShape, WarpShape, InstructionShape, EpilogueOutputOp, ThreadblockSwizzle, Stages, SplitKSerial, Operator> { /// Define the threadblock-scoped triagular matrix multiply-accumulate /// TRMM - with diagonal: alpha * A * B or alpha * B * A static const DiagType kDiagTypeMma1 = DiagType::kNonUnit; using Mma1 = typename cutlass::gemm::threadblock::DefaultTrmm< ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB, kSideModeA, kFillModeA, kDiagTypeMma1, ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, arch::Sm80, ThreadblockShape, WarpShape, InstructionShape, Stages, Operator>::ThreadblockMma; /// Define the threadblock-scoped triagular matrix multiply-accumulate /// TRMM - withOUT diagonal: alpha * AT * B or alpha * B * AT static const DiagType kDiagTypeMma2 = DiagType::kZero; using LayoutAMma2 = typename platform::conditional< (kSideModeA == SideMode::kLeft), typename layout::LayoutTranspose::type, LayoutA >::type; using LayoutBMma2 = typename platform::conditional< (kSideModeA == SideMode::kLeft), LayoutB, typename layout::LayoutTranspose::type >::type; using Mma2 = typename cutlass::gemm::threadblock::DefaultTrmm< ElementA, LayoutAMma2, kAlignmentA, ElementB, LayoutBMma2, kAlignmentB, kSideModeA, InvertFillMode::mode, kDiagTypeMma2, 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::DefaultEpilogueTensorOp< ThreadblockShape, typename Mma1::Operator, kPartitionsK, EpilogueOutputOp, EpilogueOutputOp::kCount>::Epilogue; /// Define the kernel-level SYMM/HEMM operator. using SymmKernel = kernel::SymmUniversal; }; //////////////////////////////////////////////////////////////////////////////// } // namespace kernel } // namespace gemm } // namespace cutlass