2d34259281a6251cbdc67103ce8a1310010b8ceb,orbit/controller.py,Controller,evaluate,#Controller#,177
Before Change
if eval_outputs:
eval_outputs = tf.nest.map_structure(utils.get_value, eval_outputs)
info = "step: {} evaluation metric: {}".format(
current_step, eval_outputs)
_log_info(info)
self.eval_summary_manager.write_summaries(eval_outputs)
self.eval_summary_manager.flush()
After Change
eval_output = tf.nest.map_structure(utils.get_value, eval_output or {})
elapsed = time.time() - start
_log(f" eval | step: {current_step: 6d} | "
f"eval time: {elapsed: 6.1f} | "
f"output: {_format_output(eval_output)}")
self.eval_summary_manager.write_summaries(eval_output)
self.eval_summary_manager.flush()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 2
Instances
Project Name: tensorflow/models
Commit Name: 2d34259281a6251cbdc67103ce8a1310010b8ceb
Time: 2020-10-05
Author: dhr@google.com
File Name: orbit/controller.py
Class Name: Controller
Method Name: evaluate
Project Name: tensorflow/models
Commit Name: 2d34259281a6251cbdc67103ce8a1310010b8ceb
Time: 2020-10-05
Author: dhr@google.com
File Name: orbit/controller.py
Class Name: Controller
Method Name: __init__
Project Name: tensorflow/models
Commit Name: 2d34259281a6251cbdc67103ce8a1310010b8ceb
Time: 2020-10-05
Author: dhr@google.com
File Name: orbit/controller.py
Class Name: Controller
Method Name: _train_n_steps