00135a70697dc9b4611971e5833e2d84501c3da7,keras/engine/training.py,Model,train_step,#Model#Any#,747
Before Change
y, y_pred, sample_weight, regularization_losses=self.losses)
self.optimizer.minimize(loss, self.trainable_variables, tape=tape)
self.compiled_metrics.update_state(y, y_pred, sample_weight)
return {m.name: m.result() for m in self.metrics}
def make_train_function(self):
Creates a function that executes one step of training.
After Change
self.optimizer.minimize(loss, self.trainable_variables, tape=tape)
self.compiled_metrics.update_state(y, y_pred, sample_weight)
// Collect metrics to return
return_metrics = {}
for metric in self.metrics:
result = metric.result()
if isinstance(result, dict):
return_metrics.update(result)
else:
return_metrics[metric.name] = result
return return_metrics
def make_train_function(self):
Creates a function that executes one step of training.
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 16
Instances Project Name: keras-team/keras
Commit Name: 00135a70697dc9b4611971e5833e2d84501c3da7
Time: 2021-03-23
Author: scottzhu@google.com
File Name: keras/engine/training.py
Class Name: Model
Method Name: train_step
Project Name: keras-team/keras
Commit Name: 00135a70697dc9b4611971e5833e2d84501c3da7
Time: 2021-03-23
Author: scottzhu@google.com
File Name: keras/engine/training.py
Class Name: Model
Method Name: test_step
Project Name: NTMC-Community/MatchZoo
Commit Name: e63c463a3200d9843bc5be6c1c3ee36fb267cbde
Time: 2018-12-29
Author: i@uduse.com
File Name: matchzoo/engine/param_table.py
Class Name: ParamTable
Method Name: hyper_space