// Copyright (c) 2019 PaddlePaddle Authors. 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 "paddle/fluid/imperative/nccl_context.h" namespace paddle { namespace imperative { #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32) void NCCLParallelContext::RecvNCCLID(const std::string &ep, ncclUniqueId *nccl_id) { auto addr = paddle::string::Split(ep, ':'); PADDLE_ENFORCE_EQ(addr.size(), 2UL, "The endpoint should contain host and port: %s", ep); std::string host = addr[0]; int port = std::stoi(addr[1]); int server_fd, new_socket; struct sockaddr_in address; int addrlen = sizeof(address); char buffer[1024] = {0}; int opt = 0; // creating socket fd if ((server_fd = socket(AF_INET, SOCK_STREAM, 0)) == 0) PADDLE_THROW("create server fd failed"); if (setsockopt(server_fd, SOL_SOCKET, SO_REUSEADDR, &opt, sizeof(opt))) PADDLE_THROW("set socket opt failed"); address.sin_family = AF_INET; address.sin_addr.s_addr = INADDR_ANY; address.sin_port = htons(port); if (bind(server_fd, (struct sockaddr *)&address, sizeof(address)) < 0) PADDLE_THROW("binding failed on ep: %s", ep); VLOG(3) << "listening on: " << ep; if (listen(server_fd, 3) < 0) PADDLE_THROW("listen on server fd failed"); if ((new_socket = accept(server_fd, reinterpret_cast(&address), reinterpret_cast(&addrlen))) < 0) PADDLE_THROW("accept the new socket fd failed"); if (read(new_socket, buffer, 1024) < 0) PADDLE_THROW("reading the ncclUniqueId from socket failed"); VLOG(3) << "recevived the ncclUniqueId"; memcpy(nccl_id, buffer, NCCL_UNIQUE_ID_BYTES); VLOG(3) << "closing the socket server: " << ep; close(server_fd); } void NCCLParallelContext::SendNCCLID(const std::string &ep, ncclUniqueId *nccl_id) { auto addr = paddle::string::Split(ep, ':'); PADDLE_ENFORCE_EQ(addr.size(), 2UL, "The endpoint should contain host and port: %s", ep); std::string host = addr[0]; int port = std::stoi(addr[1]); // struct sockaddr_in address; int sock = 0; struct sockaddr_in serv_addr; char buffer[1024] = {0}; memcpy(buffer, nccl_id, NCCL_UNIQUE_ID_BYTES); if ((sock = socket(AF_INET, SOCK_STREAM, 0)) < 0) PADDLE_THROW("create socket failed"); memset(&serv_addr, '0', sizeof(serv_addr)); serv_addr.sin_family = AF_INET; serv_addr.sin_port = htons(port); if (inet_pton(AF_INET, host.c_str(), &serv_addr.sin_addr) <= 0) PADDLE_THROW("invalied address: %s", ep); int try_times = 0; while (true) { if (connect(sock, (struct sockaddr *)&serv_addr, sizeof(serv_addr)) < 0) { VLOG(0) << "worker: " << ep << (try_times < 5 ? " is not ready, will retry after 3 seconds..." : " is not ready. Maybe that some process " "is occupied the GPUs of this node now, " "and you should kill those process manually. " "Will retry after 3 seconds..."); std::this_thread::sleep_for(std::chrono::seconds(3)); ++try_times; continue; } VLOG(3) << "sending the ncclUniqueId to " << ep; send(sock, buffer, NCCL_UNIQUE_ID_BYTES, 0); break; } close(sock); } void NCCLParallelContext::BcastNCCLId(ncclUniqueId *nccl_id, int root) { if (strategy_.local_rank_ == root) { for (auto ep : strategy_.trainer_endpoints_) { if (ep != strategy_.current_endpoint_) SendNCCLID(ep, nccl_id); } } else { RecvNCCLID(strategy_.current_endpoint_, nccl_id); } } void NCCLParallelContext::Init() { ncclUniqueId nccl_id; ncclComm_t comm; if (strategy_.local_rank_ == 0) { // generate the unique ncclid on the root worker platform::dynload::ncclGetUniqueId(&nccl_id); BcastNCCLId(&nccl_id, 0); } else { BcastNCCLId(&nccl_id, 0); } int gpu_id = boost::get(place_).device; VLOG(0) << "init nccl context nranks: " << strategy_.nranks_ << " local rank: " << strategy_.local_rank_ << " gpu id: " << gpu_id; PADDLE_ENFORCE(cudaSetDevice(gpu_id)); PADDLE_ENFORCE(platform::dynload::ncclCommInitRank( &comm, strategy_.nranks_, nccl_id, strategy_.local_rank_)); platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance(); auto *dev_ctx = static_cast(pool.Get(place_)); dev_ctx->set_nccl_comm(comm); } #endif } // namespace imperative } // namespace paddle