6892bb0f84aa70e52b1f98fcf5f9af120bfb4a0a,classifier.py,,,#,18

Before Change

train_data, val_data, test_data = data_config.apply(args)
ntokens = args.data_size
model = SentimentClassifier(args.model, ntokens, args.emsize, args.nhid, args.nlayers, 0.0, args.all_layers).cuda()

if args.fp16:
    model.half()

After Change

args = parser.parse_args()

args.cuda = torch.cuda.is_available()

train_data, val_data, test_data = data_config.apply(args)
ntokens = args.data_size
model = SentimentClassifier(args.model, ntokens, args.emsize, args.nhid, args.nlayers, 0.0, args.all_layers)
if args.cuda:
    model.cuda()

if args.fp16:
    model.half()

with open(args.load_model, "rb") as f:

Instances