988ee51b15466231e9770f46dcb4d221866322a7,OpenNMT/train.py,,main,#,263

Before Change


        print("Loading model from checkpoint at %s" % opt.train_from)
        model.load_state_dict(checkpoint["model"])
        generator.load_state_dict(checkpoint["generator"])
        optim = checkpoint["optim"]
        opt.start_epoch = checkpoint["epoch"] + 1

    if len(opt.gpus) >= 1:
        model.cuda()

After Change



    if opt.train_from:
        optim.last_ppl = checkpoint["last_ppl"]
        optim.optimizer.load_state_dict(checkpoint["optimizer"])

    nParams = sum([p.nelement() for p in model.parameters()])
    print("* number of parameters: %d" % nParams)
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

Instances


Project Name: pytorch/examples
Commit Name: 988ee51b15466231e9770f46dcb4d221866322a7
Time: 2017-03-14
Author: bryan.mccann.is@gmail.com
File Name: OpenNMT/train.py
Class Name:
Method Name: main


Project Name: kevinzakka/recurrent-visual-attention
Commit Name: b659b6ff06561d073320b8123811ee738f968d9f
Time: 2018-03-29
Author: kevinarmandzakka@gmail.com
File Name: trainer.py
Class Name: Trainer
Method Name: load_checkpoint


Project Name: pytorch/examples
Commit Name: fcaf4c22bafc28d7ff0a31cd18a75f81737892c6
Time: 2017-03-14
Author: bryan.mccann.is@gmail.com
File Name: OpenNMT/train.py
Class Name:
Method Name: main