0185202735a78a01646560537638e0e29f5b0d52,onmt/trainer.py,Trainer,validate,#Trainer#Any#,211
 
Before Change
            stats = onmt.utils.Statistics()
            for batch in valid_iter:
                src = inputters.make_features(batch, "src", self.data_type)
                if self.data_type == "text":
                    _, src_lengths = batch.src
                elif self.data_type == "audio":
                    src_lengths = batch.src_lengths
                else:
                    src_lengths = None
                tgt = inputters.make_features(batch, "tgt")
                // F-prop through the model.
                outputs, attns = self.model(src, tgt, src_lengths)
After Change
            for batch in valid_iter:
                src, src_lengths = inputters.make_features(batch, "src")
                tgt, _ = inputters.make_features(batch, "tgt")
                // F-prop through the model.
                outputs, attns = self.model(src, tgt, src_lengths)

In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 11
Instances
 Project Name: OpenNMT/OpenNMT-py
 Commit Name: 0185202735a78a01646560537638e0e29f5b0d52
 Time: 2019-01-21
 Author: benzurdopeters@gmail.com
 File Name: onmt/trainer.py
 Class Name: Trainer
 Method Name: validate
 Project Name: OpenNMT/OpenNMT-py
 Commit Name: 0185202735a78a01646560537638e0e29f5b0d52
 Time: 2019-01-21
 Author: benzurdopeters@gmail.com
 File Name: onmt/trainer.py
 Class Name: Trainer
 Method Name: _gradient_accumulation
 Project Name: OpenNMT/OpenNMT-py
 Commit Name: 0185202735a78a01646560537638e0e29f5b0d52
 Time: 2019-01-21
 Author: benzurdopeters@gmail.com
 File Name: onmt/trainer.py
 Class Name: Trainer
 Method Name: validate
 Project Name: keras-team/autokeras
 Commit Name: a71e59578a0ba78b81b40678ddd99e53edfc5fce
 Time: 2019-01-03
 Author: song_3134@tamu.edu
 File Name: autokeras/tabular/tabular_supervised.py
 Class Name: 
 Method Name: search