import torch.backends.cudnn as cudnn
from cifar10data import CIFAR10Data
from model import MobileNetV2
from train import Train
from utils import parse_args, create_experiment_dirs
def main():
# Parse the JSON arguments
config_args = parse_args()
# Create the experiment directories
_, config_args.summary_dir, config_args.checkpoint_dir = create_experiment_dirs(
config_args.experiment_dir)
model = MobileNetV2(config_args)
if config_args.cuda:
model.cuda()
cudnn.enabled = True
cudnn.benchmark = True
print("Loading Data...")
data = CIFAR10Data(config_args)
print("Data loaded successfully\n")
trainer = Train(model, data.trainloader, data.testloader, config_args)
if config_args.to_train:
try:
print("Training...")
trainer.train()
print("Training Finished\n")
except KeyboardInterrupt:
pass
if config_args.to_test:
print("Testing...")
trainer.test(data.testloader)
print("Testing Finished\n")
if __name__ == "__main__":
main()
