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https://github.com/NVIDIA/TensorRT-LLM.git
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6755a3f077
* Update TensorRT-LLM --------- Co-authored-by: Tltin <TltinDeng01@gmail.com> Co-authored-by: zhaohb <zhaohbcloud@126.com> Co-authored-by: Bradley Heilbrun <brad@repl.it> Co-authored-by: nqbao11 <nqbao11.01@gmail.com> Co-authored-by: Nikhil Varghese <nikhil@bot-it.ai>
123 lines
2.8 KiB
C++
123 lines
2.8 KiB
C++
/*
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* Copyright (c) 2021-2023, 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/utils/multiDeviceUtils.h"
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#include <cstdlib>
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#include <memory>
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#include <mpi.h>
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#include <stdio.h>
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#include <unordered_map>
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#include <vector>
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#define COMM_WORLD MpiComm(MPI_COMM_WORLD)
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#define MPICHECK(cmd) TLLM_MPI_CHECK(cmd)
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// A wrapper module of the MPI library.
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namespace tensorrt_llm::mpi
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{
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// A wrapper of MPI data type. MPI_TYPE_{data_type}
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enum MpiType
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{
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MPI_TYPE_BYTE,
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MPI_TYPE_CHAR,
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MPI_TYPE_INT,
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MPI_TYPE_FLOAT,
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MPI_TYPE_DOUBLE,
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MPI_TYPE_INT64_T,
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MPI_TYPE_INT32_T,
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MPI_TYPE_UINT64_T,
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MPI_TYPE_UINT32_T,
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MPI_TYPE_UNSIGNED_LONG_LONG,
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MPI_TYPE_SIZETYPE,
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};
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// A wrapper of MPI_Op type.
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enum MpiOp
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{
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MPI_OP_NULLOP,
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MPI_OP_MAX,
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MPI_OP_MIN,
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MPI_OP_SUM,
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MPI_OP_PROD,
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MPI_OP_LAND,
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MPI_OP_BAND,
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MPI_OP_LOR,
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MPI_OP_BOR,
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MPI_OP_LXOR,
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MPI_OP_BXOR,
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MPI_OP_MINLOC,
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MPI_OP_MAXLOC,
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MPI_OP_REPLACE,
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};
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// A wrapper of the level of MPI thread support
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enum MpiThreadSupport
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{
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THREAD_SINGLE,
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THREAD_FUNNELED,
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THREAD_SERIALIZED,
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THREAD_MULTIPLE
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};
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struct MpiComm
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{
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MPI_Comm group;
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MpiComm(){};
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MpiComm(MPI_Comm g)
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: group(g){};
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};
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class MpiRequest
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{
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public:
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MpiRequest() {}
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~MpiRequest() {}
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void wait()
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{
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// TODO: Don't ignore return status
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MPI_Wait(&mRequest, MPI_STATUS_IGNORE);
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}
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MPI_Request mRequest;
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};
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MPI_Datatype getMpiDtype(MpiType dtype);
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void initialize(int* argc, char*** argv);
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void initThread(int* argc, char*** argv, MpiThreadSupport required, int* provided);
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void finalize();
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bool isInitialized();
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void barrier(MpiComm comm);
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void barrier();
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int getCommWorldRank();
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int getCommWorldSize();
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std::shared_ptr<MpiRequest> bcast_async(void* buffer, size_t size, MpiType dtype, int root, MpiComm comm);
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void bcast(void* buffer, size_t size, MpiType dtype, int root, MpiComm comm);
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void bcast(std::vector<int64_t>& packed, int root, MpiComm comm);
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void comm_split(MpiComm comm, int color, int key, MpiComm* newcomm);
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void allreduce(const void* sendbuf, void* recvbuf, int count, MpiType dtype, MpiOp op, MpiComm comm);
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void allgather(const void* sendbuf, void* recvbuf, int count, MpiType dtype, MpiComm comm);
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} // namespace tensorrt_llm::mpi
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