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default_rank_2k_grouped.h
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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 grouped Rank2K.
*/
#pragma once
#include "cutlass/cutlass.h"
#include "cutlass/complex.h"
#include "cutlass/layout/matrix.h"
#include "cutlass/numeric_types.h"
#include "cutlass/gemm/kernel/rank_2k_transpose_operands.h"
#include "cutlass/gemm/kernel/default_rank_2k.h"
#include "cutlass/gemm/kernel/default_rank_2k_complex.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace kernel {
/////////////////////////////////////////////////////////////////////////////////////////////////
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// 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,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// 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,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// 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,
/// Operation performed by GEMM
typename Operator,
/// Blas3 computation mode
BlasMode BlasMode_ = BlasMode::kSymmetric,
/// Whether the schedule of problems to visit has been precomputed
GroupScheduleMode GroupScheduleMode_ = GroupScheduleMode::kDeviceOnly,
///
typename Enable = void
>
struct DefaultRank2KGrouped;
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Real-valued grouped Rank2K
//
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// 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,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// 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,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// 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,
/// Operation performed by GEMM
typename Operator,
/// Blas3 computation mode
BlasMode BlasMode_,
/// Whether the schedule of problems to visit has been precomputed
GroupScheduleMode GroupScheduleMode_
>
struct DefaultRank2KGrouped<ElementA, LayoutA, TransformA, kAlignmentA,
ElementB, LayoutB, TransformB, kAlignmentB,
ElementC, LayoutC,
FillModeC, ElementAccumulator, OperatorClass, ArchTag, ThreadblockShape,
WarpShape, InstructionShape, EpilogueOutputOp,
ThreadblockSwizzle, Stages, Operator, BlasMode_, GroupScheduleMode_,
typename platform::enable_if< ! cutlass::is_complex<ElementAccumulator>::value>::type
> {
// If true, we must construct a 'transposed-and-exchanged' Rank2K operator.
static bool const kInternalTranspose = platform::is_same<LayoutC, layout::ColumnMajor>::value;
using MapArguments = kernel::detail::Rank2KMapArguments<
ElementA,
LayoutA,
TransformA,
kAlignmentA,
ElementB,
LayoutB,
TransformB,
kAlignmentB,
LayoutC,
FillModeC,
kInternalTranspose
>;
// Define the default grouped Rank2K kernel
using DefaultRank2Kkernel = typename kernel::DefaultRank2K<
typename MapArguments::ElementA,
typename MapArguments::LayoutA,
MapArguments::kAlignmentA,
typename MapArguments::ElementB,
typename MapArguments::LayoutB,
MapArguments::kAlignmentB,
ElementC,
typename MapArguments::LayoutC,
MapArguments::kFillModeC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
false, // SplitKSerial
Operator,
BlasMode_
>::Rank2Kkernel;
/// Define the kernel in terms of the default kernel
using Rank2Kkernel = kernel::Rank2KGrouped<
typename DefaultRank2Kkernel::Mma1,
typename DefaultRank2Kkernel::Mma2,
typename DefaultRank2Kkernel::Epilogue,
ThreadblockSwizzle,
TransformA,
TransformB,
DefaultRank2Kkernel::kFillModeC,
DefaultRank2Kkernel::kBlasMode,
GroupScheduleMode_,
kInternalTranspose
>;
};
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Complex-valued grouped Rank2K
//
template <
/// Element type for A matrix operand
typename ElementA,
/// Layout type for A matrix operand
typename LayoutA,
/// Complex elementwise transformation on A operand
ComplexTransform TransformA,
/// 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,
/// Complex elementwise transformation on B operand
ComplexTransform TransformB,
/// 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,
/// Fill Mode for C (kLower or kUpper)
FillMode FillModeC,
/// 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,
/// Operation performed by GEMM
typename Operator,
/// Blas3 computation mode
BlasMode BlasMode_,
/// Whether the schedule of problems to visit has been precomputed
GroupScheduleMode GroupScheduleMode_
>
struct DefaultRank2KGrouped<ElementA, LayoutA, TransformA, kAlignmentA,
ElementB, LayoutB, TransformB, kAlignmentB,
ElementC, LayoutC,
FillModeC, ElementAccumulator, OperatorClass, ArchTag, ThreadblockShape,
WarpShape, InstructionShape, EpilogueOutputOp,
ThreadblockSwizzle, Stages, Operator, BlasMode_, GroupScheduleMode_,
typename platform::enable_if<cutlass::is_complex<ElementAccumulator>::value>::type
> {
// If true, we must construct a 'transposed-and-exchanged' Rank2K operator.
static bool const kInternalTranspose = platform::is_same<LayoutC, layout::ColumnMajor>::value;
using MapArguments = kernel::detail::Rank2KMapArguments<
ElementA,
LayoutA,
TransformA,
kAlignmentA,
ElementB,
LayoutB,
TransformB,
kAlignmentB,
LayoutC,
FillModeC,
kInternalTranspose
>;
// Define the default grouped Rank2K kernel
using DefaultRank2Kkernel = typename kernel::DefaultRank2KComplex<
typename MapArguments::ElementA,
typename MapArguments::LayoutA,
typename MapArguments::ElementB,
typename MapArguments::LayoutB,
ElementC,
typename MapArguments::LayoutC,
MapArguments::kFillModeC,
ElementAccumulator,
OperatorClass,
ArchTag,
ThreadblockShape,
WarpShape,
InstructionShape,
EpilogueOutputOp,
ThreadblockSwizzle,
Stages,
MapArguments::kTransformA,
MapArguments::kTransformB,
Operator,
false, // SplitKSerial
BlasMode_
>::Rank2Kkernel;
/// Define the kernel in terms of the default kernel
/// Pass through the user-provided TransformA and TransformB so as to
/// correctly set public-facing TransformA and TransformB in kernel::Rank2KGrouped.
/// This is needed because kernel::DefaultRank2KComplex may change TransformA and
/// TransformB that become template arguments to Mma1 and Mma2.
using Rank2Kkernel = kernel::Rank2KGrouped<
typename DefaultRank2Kkernel::Mma1,
typename DefaultRank2Kkernel::Mma2,
typename DefaultRank2Kkernel::Epilogue,
ThreadblockSwizzle,
TransformA,
TransformB,
DefaultRank2Kkernel::kFillModeC,
DefaultRank2Kkernel::kBlasMode,
GroupScheduleMode_,
kInternalTranspose
>;
};
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace kernel
} // namespace gemm
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////