Python log_first_n Examples

Example #1

File: supervisor.py Project: Anandnitrate/tensorflow

 def run_loop(self):
   # Count the steps.
   current_step = training_util.global_step(self._sess, self._sv.global_step)
   added_steps = current_step - self._last_step
   self._last_step = current_step
   # Measure the elapsed time.
   current_time = time.time()
   elapsed_time = current_time - self._last_time
   self._last_time = current_time
   # Reports the number of steps done per second
   steps_per_sec = added_steps / elapsed_time
   summary = Summary(value=[Summary.Value(tag=self._summary_tag,
                                          simple_value=steps_per_sec)])
   if self._sv.summary_writer:
     self._sv.summary_writer.add_summary(summary, current_step)
   logging.log_first_n(logging.INFO, "%s: %g", 10,
                       self._summary_tag, steps_per_sec)

Example #2

File: supervisor.py Project: StryxZilla/tensor

 def run_loop(self):
   # Count the steps.
   current_step = training_util.global_step(self._sess, self._sv.global_step)
   added_steps = current_step - self._last_step
   self._last_step = current_step
   # Measure the elapsed time.
   current_time = time.time()
   elapsed_time = current_time - self._last_time
   self._last_time = current_time
   # Reports the number of steps done per second
   steps_per_sec = added_steps / elapsed_time
   summary = Summary(value=[Summary.Value(tag=self._summary_tag,
                                          simple_value=steps_per_sec)])
   if self._sv.summary_writer:
     self._sv.summary_writer.add_summary(summary, current_step)
   logging.log_first_n(logging.INFO, "%s: %g", 10,
                       self._summary_tag, steps_per_sec)