cutlass/examples/41_fused_multi_head_attention/gemm/custom_mma.h

125 lines
3.9 KiB
C++

/***************************************************************************************************
* 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.
*
**************************************************************************************************/
#pragma once
#include "custom_mma_multistage.h"
#include "custom_mma_pipelined.h"
#include "cutlass/gemm/threadblock/mma_multistage.h"
#include "cutlass/gemm/threadblock/mma_pipelined.h"
template <typename Mma, int kMaxK>
struct MakeCustomMma;
template <
typename Shape,
typename IteratorA,
typename SmemIteratorA,
cutlass::arch::CacheOperation::Kind CacheOpA,
typename IteratorB,
typename SmemIteratorB,
cutlass::arch::CacheOperation::Kind CacheOpB,
typename ElementC,
typename LayoutC,
typename Policy,
int Stages,
cutlass::gemm::SharedMemoryClearOption SharedMemoryClear,
int kMaxK>
struct MakeCustomMma<
cutlass::gemm::threadblock::MmaMultistage<
Shape,
IteratorA,
SmemIteratorA,
CacheOpA,
IteratorB,
SmemIteratorB,
CacheOpB,
ElementC,
LayoutC,
Policy,
Stages,
SharedMemoryClear>,
kMaxK> {
// Reduce the number of stages if we don't need that many
static int constexpr kStages =
kMaxK == cutlass::platform::numeric_limits<int>::max()
? Stages
: cutlass::const_min(
Stages,
(kMaxK + int(Shape::kK) - 1) / int(Shape::kK));
using Mma = cutlass::gemm::threadblock::CustomMmaMultistage<
Shape,
IteratorA,
SmemIteratorA,
CacheOpA,
IteratorB,
SmemIteratorB,
CacheOpB,
ElementC,
LayoutC,
Policy,
kStages,
SharedMemoryClear,
kMaxK>;
};
template <
typename Shape,
typename IteratorA,
typename SmemIteratorA,
typename IteratorB,
typename SmemIteratorB,
typename ElementC,
typename LayoutC,
typename Policy,
int kMaxK>
struct MakeCustomMma<
cutlass::gemm::threadblock::MmaPipelined<
Shape,
IteratorA,
SmemIteratorA,
IteratorB,
SmemIteratorB,
ElementC,
LayoutC,
Policy>,
kMaxK> {
using Mma = cutlass::gemm::threadblock::CustomMmaPipelined<
Shape,
IteratorA,
SmemIteratorA,
IteratorB,
SmemIteratorB,
ElementC,
LayoutC,
Policy>;
};