mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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58 lines
1.8 KiB
C++
58 lines
1.8 KiB
C++
/*
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* Copyright (c) 2022-2023, 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 "tensorrt_llm/runtime/cudaStream.h"
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#include "tensorrt_llm/runtime/iBuffer.h"
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#include "tensorrt_llm/runtime/worldConfig.h"
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struct ncclComm;
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typedef struct ncclComm* ncclComm_t;
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namespace tensorrt_llm::runtime
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{
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class NcclCommunicator
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{
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public:
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template <typename T>
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void send(T* sendbuff, size_t count, int peer, CudaStream const& stream, nvinfer1::ILogger& logger) const;
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template <typename T>
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void send(IBuffer const& buf, int peer, CudaStream const& stream, nvinfer1::ILogger& logger) const
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{
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send(bufferCast<T>(buf), buf.getSize(), peer, stream, logger);
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}
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template <typename T>
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void receive(T* sendbuff, size_t count, int peer, CudaStream const& stream, nvinfer1::ILogger& logger) const;
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template <typename T>
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void receive(IBuffer& buf, int peer, CudaStream const& stream, nvinfer1::ILogger& logger) const
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{
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receive(bufferCast<T>(buf), buf.getSize(), peer, stream, logger);
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}
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static std::shared_ptr<NcclCommunicator> createPipelineComm(
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WorldConfig const& worldConfig, nvinfer1::ILogger& logger);
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private:
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ncclComm_t mComm;
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};
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} // namespace tensorrt_llm::runtime
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