TensorRT-LLMs/cpp/tensorrt_llm/kernels/trtllmGenKernels/fmha/fmhaReduction.h
Perkz Zheng da6cb541a2
[None][feat] Optimize MLA kernels with separate reduction kernels (#7597)
Signed-off-by: Perkz Zheng <67892460+PerkzZheng@users.noreply.github.com>
2025-09-09 16:58:44 +08:00

37 lines
1.2 KiB
C++

/*
* Copyright (c) 2020-2023, NVIDIA CORPORATION. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#pragma once
#include "cubin/kernelMetaInfo.h"
#include "fmhaRunnerParams.h"
#include "kernelParams.h"
namespace tensorrt_llm
{
namespace kernels
{
////////////////////////////////////////////////////////////////////////////////////////////////////
void runFmhaReduction(TllmGenFmhaKernelMetaInfo const& kernelMeta, KernelParams const& params,
int32_t multiProcessorCount, cudaStream_t stream);
////////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace kernels
} // namespace tensorrt_llm