7c29567dc5f898507530d71003bdf80eaab0fbb2,orbit/controller.py,Controller,__init__,#Controller#Any#Any#Any#Any#Any#Any#Any#Any#Any#,36
Before Change
if self.checkpoint_manager is not None:
checkpoint_interval = self.checkpoint_manager.checkpoint_interval
model_restored = self.restore_checkpoint()
if not model_restored and (checkpoint_interval and
self.trainer is not None):
// If the model is not restored from a checkpoint, and
// `checkpoint_interval` is enabled for training, save an initial
// checkpoint.
self.save_checkpoint()
def train(self, steps: int, checkpoint_at_completion: bool = True):
Runs training.
This method calls the `train` method on the Trainable object until the
After Change
if self.checkpoint_manager is not None:
checkpoint_interval = self.checkpoint_manager.checkpoint_interval
restored_path = self.restore_checkpoint()
if restored_path:
logging.info("Restored from checkpoint: %s", restored_path)
def train(self, steps: int, checkpoint_at_completion: bool = True):
Runs training.
This method calls the `train` method on the Trainable object until the
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 7
Instances Project Name: tensorflow/models
Commit Name: 7c29567dc5f898507530d71003bdf80eaab0fbb2
Time: 2020-08-11
Author: rxsang@google.com
File Name: orbit/controller.py
Class Name: Controller
Method Name: __init__
Project Name: pytorch/fairseq
Commit Name: b5dad3b7e02d66dc98d4707bc8aeacf95618ccd7
Time: 2020-03-27
Author: louisrtm@gmail.com
File Name: fairseq_cli/train.py
Class Name:
Method Name: train
Project Name: tensorflow/models
Commit Name: b7e9ad13080c1fa93f3747baf2de3929068593c0
Time: 2020-08-11
Author: rxsang@google.com
File Name: orbit/controller.py
Class Name: Controller
Method Name: __init__