4c89fd66ec992359a5e515b3a948db1193d4b1c2,pytext/models/model.py,BaseModel,train_batch,#Any#Any#Any#,156
Before Change
model_outputs = model(*model_inputs)
// Compute loss and predictions.
loss = model.get_loss(model_outputs, targets, None)
predictions, scores = model.get_pred(model_outputs)
// Pack results and return them.
metric_data = (predictions, targets, scores, loss, model_inputs)
After Change
model_outputs = model(*model_inputs)
// Compute loss and predictions.
loss = maybe_float(model.get_loss(model_outputs, targets, None))
predictions, scores = model.get_pred(model_outputs)
// Pack results and return them.
metric_data = (predictions, targets, scores, loss, model_inputs)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: facebookresearch/pytext
Commit Name: 4c89fd66ec992359a5e515b3a948db1193d4b1c2
Time: 2019-05-13
Author: chenyangyu@instagram.com
File Name: pytext/models/model.py
Class Name: BaseModel
Method Name: train_batch
Project Name: facebookresearch/pytext
Commit Name: 7f60bfe15bf81ac446153c9a7af3b2c57afdb1d2
Time: 2019-05-08
Author: chenyangyu@instagram.com
File Name: pytext/models/model.py
Class Name: BaseModel
Method Name: get_loss
Project Name: facebookresearch/pytext
Commit Name: 4c89fd66ec992359a5e515b3a948db1193d4b1c2
Time: 2019-05-13
Author: chenyangyu@instagram.com
File Name: pytext/trainers/trainer.py
Class Name: Trainer
Method Name: run_step