2022-11-19 22:02:15 +08:00
|
|
|
/***************************************************************************************************
|
|
|
|
|
* Copyright (c) 2017 - 2022 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 holdvr 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.
|
|
|
|
|
*
|
|
|
|
|
**************************************************************************************************/
|
|
|
|
|
|
2022-10-17 22:49:33 +08:00
|
|
|
/*! \file
|
|
|
|
|
\brief Cutlass provides helper template functions to figure out the right
|
|
|
|
|
datastructures to instanciate to run a GEMM with various parameters (see
|
|
|
|
|
`cutlass/gemm/threadblock/default_mma.h`). However, due to template
|
2022-11-19 22:02:15 +08:00
|
|
|
instantiation priority rules, it will only create an MmaMultiStage with
|
2022-10-17 22:49:33 +08:00
|
|
|
kStages=3 (otherwise creates an MmePipelined - which is not compatible with
|
|
|
|
|
FastF32). kStages=3 uses too much shared memory and we want to use kStages=2,
|
|
|
|
|
so we just copy-pasted some code from `default_mma.h` and
|
|
|
|
|
`default_mma_core.h` files and wrapped this template to allow our usecase.
|
|
|
|
|
|
|
|
|
|
This is really only for the FastF32 case - aka using TensorCores with fp32.
|
|
|
|
|
*/
|
|
|
|
|
|
|
|
|
|
#include "cutlass/gemm/threadblock/default_mma.h"
|
|
|
|
|
#include "cutlass/gemm/threadblock/default_mma_core_simt.h"
|
|
|
|
|
#include "cutlass/gemm/threadblock/default_mma_core_sm70.h"
|
|
|
|
|
#include "cutlass/gemm/threadblock/default_mma_core_sm75.h"
|
|
|
|
|
#include "cutlass/gemm/threadblock/default_mma_core_sm80.h"
|
|
|
|
|
|
|
|
|
|
namespace cutlass {
|
|
|
|
|
namespace gemm {
|
|
|
|
|
namespace threadblock {
|
|
|
|
|
|
|
|
|
|
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 B matrix in units of elements
|
|
|
|
|
int kAlignmentB,
|
|
|
|
|
/// Element type for internal accumulation
|
|
|
|
|
typename ElementAccumulator,
|
|
|
|
|
/// Layout type for C and D matrix operand
|
|
|
|
|
typename LayoutC,
|
|
|
|
|
/// 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,
|
|
|
|
|
/// Instruction-level tile size (concept: GemmShape)
|
|
|
|
|
typename InstructionShape,
|
|
|
|
|
/// Number of stages used in the pipelined mainloop
|
|
|
|
|
int Stages,
|
|
|
|
|
/// Operation perfomed by GEMM
|
|
|
|
|
typename Operator,
|
|
|
|
|
typename Enable_ = void>
|
|
|
|
|
struct FindDefaultMma {
|
|
|
|
|
static constexpr bool AccumulatorsInRowMajor = false;
|
|
|
|
|
static constexpr SharedMemoryClearOption SharedMemoryClear =
|
|
|
|
|
SharedMemoryClearOption::kNone;
|
|
|
|
|
using DefaultMma = cutlass::gemm::threadblock::DefaultMma<
|
|
|
|
|
ElementA,
|
|
|
|
|
LayoutA,
|
|
|
|
|
kAlignmentA,
|
|
|
|
|
ElementB,
|
|
|
|
|
LayoutB,
|
|
|
|
|
kAlignmentB,
|
|
|
|
|
ElementAccumulator,
|
|
|
|
|
LayoutC,
|
|
|
|
|
OperatorClass,
|
|
|
|
|
ArchTag,
|
|
|
|
|
ThreadblockShape,
|
|
|
|
|
WarpShape,
|
|
|
|
|
InstructionShape,
|
|
|
|
|
Stages,
|
|
|
|
|
Operator,
|
|
|
|
|
AccumulatorsInRowMajor,
|
|
|
|
|
SharedMemoryClear>;
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
/// Specialization for sm80 / FastF32 / multistage with kStages=2
|
|
|
|
|
template <
|
|
|
|
|
typename ElementA_,
|
|
|
|
|
/// Layout type for A matrix operand
|
|
|
|
|
typename LayoutA_,
|
|
|
|
|
/// Access granularity of A matrix in units of elements
|
|
|
|
|
int kAlignmentA,
|
|
|
|
|
typename ElementB_,
|
|
|
|
|
/// Layout type for B matrix operand
|
|
|
|
|
typename LayoutB_,
|
|
|
|
|
/// Access granularity of B matrix in units of elements
|
|
|
|
|
int kAlignmentB,
|
|
|
|
|
typename ElementAccumulator,
|
|
|
|
|
/// Threadblock-level tile size (concept: GemmShape)
|
|
|
|
|
typename ThreadblockShape,
|
|
|
|
|
/// Warp-level tile size (concept: GemmShape)
|
|
|
|
|
typename WarpShape,
|
|
|
|
|
/// Instruction-level tile size (concept: GemmShape)
|
|
|
|
|
typename InstructionShape,
|
|
|
|
|
int kStages,
|
|
|
|
|
typename Operator>
|
|
|
|
|
struct FindDefaultMma<
|
|
|
|
|
ElementA_,
|
|
|
|
|
LayoutA_,
|
|
|
|
|
kAlignmentA,
|
|
|
|
|
ElementB_,
|
|
|
|
|
LayoutB_,
|
|
|
|
|
kAlignmentB,
|
|
|
|
|
ElementAccumulator,
|
|
|
|
|
layout::RowMajor,
|
|
|
|
|
arch::OpClassTensorOp,
|
|
|
|
|
arch::Sm80,
|
|
|
|
|
ThreadblockShape,
|
|
|
|
|
WarpShape,
|
|
|
|
|
InstructionShape,
|
|
|
|
|
kStages,
|
|
|
|
|
Operator,
|
|
|
|
|
typename cutlass::platform::enable_if<(kAlignmentA > 1)>::type> {
|
|
|
|
|
using LayoutC = layout::RowMajor;
|
|
|
|
|
using OperatorClass = arch::OpClassTensorOp;
|
|
|
|
|
using ArchTag = arch::Sm80;
|
|
|
|
|
|
|
|
|
|
using DefaultMma_ = cutlass::gemm::threadblock::DefaultMma<
|
|
|
|
|
ElementA_,
|
|
|
|
|
LayoutA_,
|
|
|
|
|
kAlignmentA,
|
|
|
|
|
ElementB_,
|
|
|
|
|
LayoutB_,
|
|
|
|
|
kAlignmentB,
|
|
|
|
|
ElementAccumulator,
|
|
|
|
|
LayoutC,
|
|
|
|
|
OperatorClass,
|
|
|
|
|
ArchTag,
|
|
|
|
|
ThreadblockShape,
|
|
|
|
|
WarpShape,
|
|
|
|
|
InstructionShape,
|
|
|
|
|
3,
|
|
|
|
|
Operator>;
|
|
|
|
|
struct DefaultMma : DefaultMma_ {
|
|
|
|
|
using MmaCore_ = typename DefaultMma_::MmaCore;
|
|
|
|
|
// Define the threadblock-scoped multistage matrix multiply
|
|
|
|
|
using ThreadblockMma = cutlass::gemm::threadblock::MmaMultistage<
|
|
|
|
|
typename MmaCore_::Shape,
|
|
|
|
|
typename DefaultMma_::IteratorA,
|
|
|
|
|
typename MmaCore_::SmemIteratorA,
|
|
|
|
|
MmaCore_::kCacheOpA,
|
|
|
|
|
typename DefaultMma_::IteratorB,
|
|
|
|
|
typename MmaCore_::SmemIteratorB,
|
|
|
|
|
MmaCore_::kCacheOpB,
|
|
|
|
|
ElementAccumulator,
|
|
|
|
|
LayoutC,
|
|
|
|
|
typename MmaCore_::MmaPolicy,
|
|
|
|
|
kStages>;
|
|
|
|
|
};
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
} // namespace threadblock
|
|
|
|
|
} // namespace gemm
|
|
|
|
|
} // namespace cutlass
|
