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import os
import argparse
import random
import torch
from train_ddp import train
from utils import get_config
def main():
parser = argparse.ArgumentParser(description="Trainer")
# Put every argumnet in './configs/yymmdd_architecture_number.yaml' and load it.
parser.add_argument(
"-c",
"--config",
default="delimit_6_s",
type=str,
help="Name of the setting file.",
)
config_args = parser.parse_args()
args = get_config(config_args.config)
args.img_check = (
f"{args.dir_params.output_directory}/img_check/{args.dir_params.exp_name}"
)
args.output = (
f"{args.dir_params.output_directory}/checkpoint/{args.dir_params.exp_name}"
)
# Set which devices to use
os.environ["MASTER_ADDR"] = "127.0.0.1"
os.environ["MASTER_PORT"] = str(random.randint(0, 1800))
os.makedirs(args.img_check, exist_ok=True)
os.makedirs(args.output, exist_ok=True)
torch.manual_seed(args.sys_params.seed)
random.seed(args.sys_params.seed)
print(args)
train(args)
if __name__ == "__main__":
main()
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