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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
66 lines
2.2 KiB
C++
66 lines
2.2 KiB
C++
/*
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* Copyright (c) 2020-2024, 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 "tensorrt_llm/common/opUtils.h"
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#include "tensorrt_llm/kernels/contextFusedMultiHeadAttention/fmhaRunner.h"
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#include "tensorrt_llm/kernels/contextFusedMultiHeadAttention/fused_multihead_attention_common.h"
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#include "tensorrt_llm/kernels/trtllmGenKernels/fmha/fmhaRunner.h"
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using tensorrt_llm::common::op::UniqPtrWNullCopy;
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namespace tensorrt_llm::kernels
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{
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////////////////////////////////////////////////////////////////////////////////////////////////////
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class FmhaDispatcher
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{
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public:
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// Constructor.
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FmhaDispatcher(kernels::MHARunnerFixedParams fixedParams);
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// Deconstructor.
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~FmhaDispatcher() = default;
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// Check if any fmha kernel meets the requirements.
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bool isSupported();
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// Does FMHA need a separate Q and Kv input ?
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bool isSeparateQAndKvInput() const
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{
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return mFixedParams.attentionInputLayout != kernels::AttentionInputLayout::PACKED_QKV;
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}
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// Run the fmha kernel.
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void run(tensorrt_llm::kernels::MHARunnerParams runnerParams);
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private:
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// The fixed fmha parameters.
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kernels::MHARunnerFixedParams mFixedParams;
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// Whether to enable trtllm-gen kernels.
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bool mUseTllmGen;
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// Runner for fmha v2 kernels (for SM <= 90)
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UniqPtrWNullCopy<kernels::FusedMHARunnerV2> mFMHARunner;
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// Runner for trtllm-gen fmha kernels (for SM == 100)
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UniqPtrWNullCopy<kernels::TllmGenFmhaRunner> mTllmGenFMHARunner;
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};
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////////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace tensorrt_llm::kernels
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