718677ebb044e27aaf1a30640c2f7ab6b8fa8509,fairseq/criterions/masked_lm.py,MaskedLmLoss,forward,#MaskedLmLoss#Any#Any#Any#,25
 
Before Change
            ignore_index=self.padding_idx,
        )
        sample_size = targets.ne(self.padding_idx).int().sum().item()
        logging_output = {
            "loss": utils.item(loss.data) if reduce else loss.data,
            "nll_loss": utils.item(loss.data) if reduce else loss.data,
After Change
            ignore_index=self.padding_idx,
        )
        sample_size = masked_tokens.int().sum().item()
        logging_output = {
            "loss": utils.item(loss.data) if reduce else loss.data,
            "nll_loss": utils.item(loss.data) if reduce else loss.data,

In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
 Project Name: pytorch/fairseq
 Commit Name: 718677ebb044e27aaf1a30640c2f7ab6b8fa8509
 Time: 2019-09-18
 Author: namangoyal@learnfair0893.h2.fair
 File Name: fairseq/criterions/masked_lm.py
 Class Name: MaskedLmLoss
 Method Name: forward
 Project Name: lufficc/SSD
 Commit Name: b65560304dc61e63fa45e5a26fee930661c6e998
 Time: 2019-06-23
 Author: luffy.lcc@gmail.com
 File Name: ssd/engine/trainer.py
 Class Name: 
 Method Name: do_train