/* * Copyright (c) 2022-2023, 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. */ #include "tensorrt_llm/common/mpiUtils.h" #include "mpi.h" namespace tensorrt_llm { namespace mpi { MPI_Datatype getMpiDtype(MpiType dtype) { static const std::unordered_map dtype_map{ {MPI_TYPE_BYTE, MPI_BYTE}, {MPI_TYPE_CHAR, MPI_CHAR}, {MPI_TYPE_INT, MPI_INT}, {MPI_TYPE_INT64_T, MPI_INT64_T}, {MPI_TYPE_UINT32_T, MPI_UINT32_T}, {MPI_TYPE_UNSIGNED_LONG_LONG, MPI_UNSIGNED_LONG_LONG}, }; return dtype_map.at(dtype); } MPI_Op getMpiOp(MpiOp op) { static const std::unordered_map op_map{ {MPI_OP_NULLOP, MPI_OP_NULL}, {MPI_OP_MAX, MPI_MAX}, {MPI_OP_MIN, MPI_MIN}, {MPI_OP_SUM, MPI_SUM}, {MPI_OP_PROD, MPI_PROD}, {MPI_OP_LAND, MPI_LAND}, {MPI_OP_BAND, MPI_BAND}, {MPI_OP_LOR, MPI_LOR}, {MPI_OP_BOR, MPI_BOR}, {MPI_OP_LXOR, MPI_LXOR}, {MPI_OP_BXOR, MPI_BXOR}, {MPI_OP_MINLOC, MPI_MINLOC}, {MPI_OP_MAXLOC, MPI_MAXLOC}, {MPI_OP_REPLACE, MPI_REPLACE}, }; return op_map.at(op); } void initialize(int* argc, char*** argv) { MPICHECK(MPI_Init(argc, argv)); } void finalize() { MPICHECK(MPI_Finalize()); } bool isInitialized() { int mpi_initialized = 0; MPICHECK(MPI_Initialized(&mpi_initialized)); return static_cast(mpi_initialized); } void initThread(int* argc, char*** argv, MpiThreadSupport required, int* provided) { switch (required) { case THREAD_SINGLE: MPICHECK(MPI_Init_thread(argc, argv, MPI_THREAD_SINGLE, provided)); break; case THREAD_FUNNELED: MPICHECK(MPI_Init_thread(argc, argv, MPI_THREAD_FUNNELED, provided)); break; case THREAD_SERIALIZED: MPICHECK(MPI_Init_thread(argc, argv, MPI_THREAD_SERIALIZED, provided)); break; case THREAD_MULTIPLE: MPICHECK(MPI_Init_thread(argc, argv, MPI_THREAD_MULTIPLE, provided)); break; default: break; } } int getCommWorldRank() { int rank = 0; MPI_Comm_rank(MPI_COMM_WORLD, &rank); return rank; } int getCommWorldSize() { int world_size = 1; MPI_Comm_size(MPI_COMM_WORLD, &world_size); return world_size; } void barrier(MpiComm comm) { MPICHECK(MPI_Barrier(comm.group)); } void barrier() { MPICHECK(MPI_Barrier(MPI_COMM_WORLD)); } void bcast(void* buffer, size_t size, MpiType dtype, int root, MpiComm comm) { MPICHECK(MPI_Bcast(buffer, size, getMpiDtype(dtype), root, comm.group)); } void bcast(std::vector& packed, int root, MpiComm comm) { int64_t nWords1; if (getCommWorldRank() == root) { nWords1 = static_cast(packed.size()); } bcast(&nWords1, 1, MPI_TYPE_INT64_T, root, comm); if (getCommWorldRank() != root) { packed.resize(nWords1); } bcast(packed.data(), packed.size(), MPI_TYPE_INT64_T, root, comm); } void comm_split(MpiComm comm, int color, int key, MpiComm* newcomm) { MPICHECK(MPI_Comm_split(comm.group, color, key, &newcomm->group)); } void allreduce(const void* sendbuf, void* recvbuf, int count, MpiType dtype, MpiOp op, MpiComm comm) { MPICHECK(MPI_Allreduce(sendbuf, recvbuf, count, getMpiDtype(dtype), getMpiOp(op), comm.group)); } void allgather(const void* sendbuf, void* recvbuf, int count, MpiType dtype, MpiComm comm) { MPICHECK(MPI_Allgather(sendbuf, count, getMpiDtype(dtype), recvbuf, count, getMpiDtype(dtype), comm.group)); } } // namespace mpi } // namespace tensorrt_llm