"""Launching tool for DGL distributed training""" import os import stat import sys import subprocess import argparse import signal import logging import time from threading import Thread def execute_remote(cmd, ip, thread_list): """execute command line on remote machine via ssh""" cmd = 'ssh -o StrictHostKeyChecking=no ' + ip + ' \'' + cmd + '\'' # thread func to run the job def run(cmd): subprocess.check_call(cmd, shell = True) thread = Thread(target = run, args=(cmd,)) thread.setDaemon(True) thread.start() thread_list.append(thread) def submit_jobs(args, udf_command): """Submit distributed jobs (server and client processes) via ssh""" hosts = [] thread_list = [] server_count_per_machine = 0 ip_config = args.workspace + '/' + args.ip_config with open(ip_config) as f: for line in f: ip, port, count = line.strip().split(' ') port = int(port) count = int(count) server_count_per_machine = count hosts.append((ip, port)) assert args.num_client % len(hosts) == 0 client_count_per_machine = int(args.num_client / len(hosts)) # launch server tasks server_cmd = 'DGL_ROLE=server' server_cmd = server_cmd + ' ' + 'DGL_NUM_CLIENT=' + str(args.num_client) server_cmd = server_cmd + ' ' + 'DGL_CONF_PATH=' + str(args.conf_path) server_cmd = server_cmd + ' ' + 'DGL_IP_CONFIG=' + str(args.ip_config) for i in range(len(hosts)*server_count_per_machine): ip, _ = hosts[int(i / server_count_per_machine)] cmd = server_cmd + ' ' + 'DGL_SERVER_ID=' + str(i) cmd = cmd + ' ' + udf_command cmd = 'cd ' + str(args.workspace) + '; ' + cmd execute_remote(cmd, ip, thread_list) # launch client tasks client_cmd = 'DGL_DIST_MODE="distributed" DGL_ROLE=client' client_cmd = client_cmd + ' ' + 'DGL_NUM_CLIENT=' + str(args.num_client) client_cmd = client_cmd + ' ' + 'DGL_CONF_PATH=' + str(args.conf_path) client_cmd = client_cmd + ' ' + 'DGL_IP_CONFIG=' + str(args.ip_config) if os.environ.get('OMP_NUM_THREADS') is not None: client_cmd = client_cmd + ' ' + 'OMP_NUM_THREADS=' + os.environ.get('OMP_NUM_THREADS') if os.environ.get('PYTHONPATH') is not None: client_cmd = client_cmd + ' ' + 'PYTHONPATH=' + os.environ.get('PYTHONPATH') torch_cmd = '-m torch.distributed.launch' torch_cmd = torch_cmd + ' ' + '--nproc_per_node=' + str(client_count_per_machine) torch_cmd = torch_cmd + ' ' + '--nnodes=' + str(len(hosts)) torch_cmd = torch_cmd + ' ' + '--node_rank=' + str(0) torch_cmd = torch_cmd + ' ' + '--master_addr=' + str(hosts[0][0]) torch_cmd = torch_cmd + ' ' + '--master_port=' + str(1234) for node_id, host in enumerate(hosts): ip, _ = host new_torch_cmd = torch_cmd.replace('node_rank=0', 'node_rank='+str(node_id)) new_udf_command = udf_command.replace('python3', 'python3 ' + new_torch_cmd) cmd = client_cmd + ' ' + new_udf_command cmd = 'cd ' + str(args.workspace) + '; ' + cmd execute_remote(cmd, ip, thread_list) for thread in thread_list: thread.join() def main(): parser = argparse.ArgumentParser(description='Launch a distributed job') parser.add_argument('--workspace', type=str, help='Path of user directory of distributed tasks. \ This is used to specify a destination location where \ the contents of current directory will be rsyncd') parser.add_argument('--num_client', type=int, help='Total number of client processes in the cluster') parser.add_argument('--conf_path', type=str, help='The path to the partition config file. This path can be \ a remote path like s3 and dgl will download this file automatically') parser.add_argument('--ip_config', type=str, help='The file for IP configuration for server processes') args, udf_command = parser.parse_known_args() assert len(udf_command) == 1, 'Please provide user command line.' assert args.num_client > 0, '--num_client must be a positive number.' udf_command = str(udf_command[0]) if 'python' not in udf_command: raise RuntimeError("DGL launch can only support: python ...") submit_jobs(args, udf_command) def signal_handler(signal, frame): logging.info('Stop launcher') sys.exit(0) if __name__ == '__main__': fmt = '%(asctime)s %(levelname)s %(message)s' logging.basicConfig(format=fmt, level=logging.INFO) signal.signal(signal.SIGINT, signal_handler) main()