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/***************************************************************************************************
* Copyright (c) 2017 - 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. 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.
*
* 3. Neither the name of the copyright holder 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 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<Mma, Epilogue, ThreadblockSwizzle, kSideMode, kFillMode, kDiagType>;
};
////////////////////////////////////////////////////////////////////////////////
/// 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<Mma, Epilogue, ThreadblockSwizzle, kSideMode, kFillMode, kDiagType>;
};
////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
////////////////////////////////////////////////////////////////////////////////
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