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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 TRMM definitions combine threadblock-scoped matrix multiply-add with the appropriate threadblock-scoped epilogue. Note, CUTLASS epilogues universally target row-major outputs. Column-major outputs are accommodated by exchanging A and B operands and assuming transposed layouts. */ #pragma once #include "cutlass/blas3.h" #include "cutlass/layout/matrix.h" #include "cutlass/epilogue/threadblock/epilogue.h" #include "cutlass/epilogue/thread/linear_combination.h" #include "cutlass/gemm/gemm.h" #include "cutlass/gemm/kernel/trmm_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_multistage_mma_complex_core_sm80.h" #include "cutlass/gemm/threadblock/default_mma.h" #include "cutlass/gemm/threadblock/default_multistage_trmm_complex.h" #include "cutlass/gemm/threadblock/default_mma_core_simt.h" #include "cutlass/gemm/threadblock/threadblock_swizzle.h" #include "cutlass/epilogue/threadblock/default_epilogue_complex_tensor_op.h" #include "cutlass/epilogue/threadblock/default_epilogue_simt.h" #include "cutlass/transform/threadblock/predicated_tile_iterator.h" //////////////////////////////////////////////////////////////////////////////// namespace cutlass { namespace gemm { namespace kernel { //////////////////////////////////////////////////////////////////////////////// template < /// Element type for A matrix operand typename ElementA_, /// Layout type for A matrix operand typename LayoutA_, /// Element type for B matrix operand typename ElementB_, /// Layout type for B matrix operand typename LayoutB_, /// Side Mode for the kernel SideMode SideMode_, /// Fill Mode for the triangular matrix FillMode FillMode_, /// Diag Type for the triangular matrix DiagType DiagType_, /// 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, /// Complex elementwise transformation on A operand ComplexTransform TransformA, /// Complex elementwise transformation on B operand ComplexTransform TransformB, /// Multiply-add operator // (arch::OpMultiplyAddComplex, arch::OpMultiplyGaussianComplex) typename Operator, /// If true, kernel is configured to support serial reduction in the epilogue bool SplitKSerial > struct DefaultTrmmComplex; //////////////////////////////////////////////////////////////////////////////// /// Partial specialization for Hopper Architecture template < /// Element type for A matrix operand typename ElementA, /// Layout type for A matrix operand typename LayoutA, /// Element type for B matrix operand typename ElementB, /// Layout type for B matrix operand typename LayoutB, /// Side Mode for the kernel SideMode kSideMode, /// Fill Mode for the triangular matrix FillMode kFillMode, /// Diag Type for the triangular matrix DiagType kDiagType, /// 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, /// Complex elementwise transformation on A operand ComplexTransform TransformA, /// Complex elementwise transformation on B operand ComplexTransform TransformB, /// Multiply-add operator // (arch::OpMultiplyAddComplex, arch::OpMultiplyGaussianComplex) typename Operator, /// If true, kernel is configured to support serial reduction in the epilogue bool SplitKSerial > struct DefaultTrmmComplex< ElementA, LayoutA, ElementB, LayoutB, kSideMode, kFillMode, kDiagType, ElementC, layout::RowMajor, ElementAccumulator, arch::OpClassTensorOp, arch::Sm90, ThreadblockShape, WarpShape, InstructionShape, EpilogueOutputOp, ThreadblockSwizzle, Stages, TransformA, TransformB, Operator, SplitKSerial> { /// Define the threadblock-scoped matrix multiply-accumulate using Mma = typename cutlass::gemm::threadblock::DefaultMultistageTrmmComplex< ElementA, LayoutA, ElementB, LayoutB, kSideMode, kFillMode, kDiagType, ElementAccumulator,layout::RowMajor, arch::OpClassTensorOp, arch::Sm90, ThreadblockShape, WarpShape, InstructionShape, Stages, TransformA, TransformB, Operator>::ThreadblockMma; /// Define the epilogue using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueComplexTensorOp< ThreadblockShape, typename Mma::Operator, 1, EpilogueOutputOp, EpilogueOutputOp::kCount, Operator>::Epilogue; /// Define the kernel-level TRMM operator. using TrmmKernel = kernel::TrmmUniversal; }; //////////////////////////////////////////////////////////////////////////////// /// Partial specialization for Ampere Architecture template < /// Element type for A matrix operand typename ElementA, /// Layout type for A matrix operand typename LayoutA, /// Element type for B matrix operand typename ElementB, /// Layout type for B matrix operand typename LayoutB, /// Side Mode for the kernel SideMode kSideMode, /// Fill Mode for the triangular matrix FillMode kFillMode, /// Diag Type for the triangular matrix DiagType kDiagType, /// 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, /// Complex elementwise transformation on A operand ComplexTransform TransformA, /// Complex elementwise transformation on B operand ComplexTransform TransformB, /// Multiply-add operator // (arch::OpMultiplyAddComplex, arch::OpMultiplyGaussianComplex) typename Operator, /// If true, kernel is configured to support serial reduction in the epilogue bool SplitKSerial > struct DefaultTrmmComplex< ElementA, LayoutA, ElementB, LayoutB, kSideMode, kFillMode, kDiagType, ElementC, layout::RowMajor, ElementAccumulator, arch::OpClassTensorOp, arch::Sm80, ThreadblockShape, WarpShape, InstructionShape, EpilogueOutputOp, ThreadblockSwizzle, Stages, TransformA, TransformB, Operator, SplitKSerial> { /// Define the threadblock-scoped matrix multiply-accumulate using Mma = typename cutlass::gemm::threadblock::DefaultMultistageTrmmComplex< ElementA, LayoutA, ElementB, LayoutB, kSideMode, kFillMode, kDiagType, ElementAccumulator,layout::RowMajor, arch::OpClassTensorOp, arch::Sm80, ThreadblockShape, WarpShape, InstructionShape, Stages, TransformA, TransformB, Operator>::ThreadblockMma; /// Define the epilogue using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueComplexTensorOp< ThreadblockShape, typename Mma::Operator, 1, EpilogueOutputOp, EpilogueOutputOp::kCount, Operator>::Epilogue; /// Define the kernel-level TRMM operator. using TrmmKernel = kernel::TrmmUniversal; }; //////////////////////////////////////////////////////////////////////////////// } // namespace kernel } // namespace gemm } // namespace cutlass ////////////////////////////////////////////////////////////////////////////////