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https://github.com/NVIDIA/TensorRT-LLM.git
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16d2467ea8
* Update TensorRT-LLM --------- Co-authored-by: Denis Kayshev <topenkoff@gmail.com> Co-authored-by: akhoroshev <arthoroshev@gmail.com> Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com> Update
58 lines
1.6 KiB
C++
58 lines
1.6 KiB
C++
/*
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* Copyright (c) 2020-2023, NVIDIA CORPORATION. All rights reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#pragma once
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#include <cuda_runtime.h>
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#include "fmhaKernels.h"
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#include "fmhaRunnerParams.h"
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#include "tensorrt_llm/kernels/multiHeadAttentionCommon.h"
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namespace tensorrt_llm
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{
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namespace kernels
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{
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class TllmGenFmhaRunner
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{
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public:
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// Constructor.
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explicit TllmGenFmhaRunner(Data_type dtypeQ, Data_type dtypeKv, Data_type dtypeOut);
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TllmGenFmhaRunner() = default;
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// Check if fmha is supported.
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bool isSupported(TllmGenFmhaRunnerParams const& runnerParams) const;
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// Check if fmha is supported with additional info.
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std::pair<bool, std::string> isSupportedWithInfo(TllmGenFmhaRunnerParams const& runnerParams) const;
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// Run the fmha kernel.
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void run(TllmGenFmhaRunnerParams const&);
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private:
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// The input/output datatype.
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Data_type mDtypeQ, mDtypeKv, mDtypeOut;
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// The SM version.
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int mSM;
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// The class that stores all the kernels.
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TllmGenFmhaKernel const* mKernel;
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};
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} // namespace kernels
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} // namespace tensorrt_llm
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