transformers/tests/sagemaker/scripts/pytorch/run_ddp.py

53 lines
1.4 KiB
Python

import json
import logging
import os
import subprocess
from argparse import ArgumentParser
logger = logging.getLogger(__name__)
def parse_args():
parser = ArgumentParser()
parsed, unknown = parser.parse_known_args()
for arg in unknown:
if arg.startswith(("-", "--")):
parser.add_argument(arg.split("=")[0])
return parser.parse_args()
def main():
args = parse_args()
port = 8888
num_gpus = int(os.environ["SM_NUM_GPUS"])
hosts = json.loads(os.environ["SM_HOSTS"])
num_nodes = len(hosts)
current_host = os.environ["SM_CURRENT_HOST"]
rank = hosts.index(current_host)
os.environ["NCCL_DEBUG"] = "INFO"
if num_nodes > 1:
cmd = f"""python -m torch.distributed.launch \
--nnodes={num_nodes} \
--node_rank={rank} \
--nproc_per_node={num_gpus} \
--master_addr={hosts[0]} \
--master_port={port} \
./run_glue.py \
{"".join([f" --{parameter} {value}" for parameter,value in args.__dict__.items()])}"""
else:
cmd = f"""python -m torch.distributed.launch \
--nproc_per_node={num_gpus} \
./run_glue.py \
{"".join([f" --{parameter} {value}" for parameter,value in args.__dict__.items()])}"""
try:
subprocess.run(cmd, shell=True)
except Exception as e:
logger.info(e)
if __name__ == "__main__":
main()