61421e8d341312e02dff23b46acde4261808dab3,train.py,,,#,15
 
Before Change
                train_batch[key] = train_batch[key].cuda()
        
        // forward pass to encoder
        img = Variable(train_batch["img_feat"])
        ques = Variable(train_batch["ques_fwd"])
        hist = Variable(train_batch["hist"])
        enc_out = encoder(img, ques, hist)
        // forward pass to decoder
        options = Variable(train_batch["opt"])
        ans_ind = Variable(train_batch["ans_ind"])
After Change
args = parser.parse_args()
for arg in vars(args):
    print("{:<20}: {}".format(arg, getattr(args, arg)))
// seed for reproducibility
torch.manual_seed(1234)

In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
 Project Name: batra-mlp-lab/visdial-challenge-starter-pytorch
 Commit Name: 61421e8d341312e02dff23b46acde4261808dab3
 Time: 2018-07-06
 Author: karandesai281196@gmail.com
 File Name: train.py
 Class Name: 
 Method Name: 
 Project Name: OpenNMT/OpenNMT-py
 Commit Name: b87368e1e7fd832b505db9cc08015ac7af8f95de
 Time: 2016-12-23
 Author: jvanamersfoort@twitter.com
 File Name: VAE/main.py
 Class Name: 
 Method Name: train