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main.py
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main.py
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import argparse
import sys
import train
import test
import utils
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Trains and tests DQNsort")
parser.add_argument('mode', help='Training or testing mode')
parser.add_argument('--use_visdom', type=utils.str2bool,
help='Use visdom visualizer', default=True)
parser.add_argument('--n_epoch', type=int,
help='Number of epochs', default=100)
parser.add_argument('--n_iter', type=int,
help='Number of iterations per epoch', default=10000000)
parser.add_argument('--update_rate', type=int,
help='Rate to update array in visdom', default=5)
parser.add_argument('--save_rate', type=int,
help='Rate to save model', default=5)
parser.add_argument('--discount', type=float,
help='Q-learning discount', default=0.99)
parser.add_argument('--lr', type=float,
help='DQN learning rate', default=1e-4)
parser.add_argument('--batch_size', type=int,
help='DQN batch size', default=32)
parser.add_argument('--make_gif', type=utils.str2bool,
help='Generate gif on comparison', default=True)
args = parser.parse_args()
if args.mode == 'train':
# List args
print("---")
for arg in vars(args):
print("{:<20} : {}".format(arg, getattr(args, arg)))
print("---")
train.train(
use_visdom=args.use_visdom,
n_epoch=args.n_epoch,
n_iter=args.n_iter,
update_rate=args.update_rate,
save_rate=args.save_rate,
discount=args.discount,
lr=args.lr,
batch_size=args.batch_size,
)
elif args.mode == 'test':
test.test()
elif args.mode == 'compare':
test.test_compare(args.make_gif)
else:
parser.print_help(sys.stderr)
sys.exit(1)