tf.contrib.learn.monitors.PrintTensor.run_on_all_workers
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.PrintTensor.run_on_all_workers

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tf.contrib.learn.monitors.CheckpointSaver.set_estimator()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.CheckpointSaver.set_estimator(estimator) A setter called automatically by the target estimator.

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tf.contrib.learn.monitors.get_default_monitors()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.get_default_monitors(loss_op=None, summary_op=None, save_summary_steps=100, output_dir=None, summary_writer=None)

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tf.contrib.learn.monitors.LoggingTrainable.every_n_post_step()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.LoggingTrainable.every_n_post_step(step, session) Callback after a step is finished or end()

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tf.contrib.learn.monitors.LoggingTrainable.every_n_step_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.LoggingTrainable.every_n_step_end(step, outputs)

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tf.contrib.learn.monitors.SummarySaver.every_n_post_step()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.SummarySaver.every_n_post_step(step, session) Callback after a step is finished or end()

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tf.contrib.learn.monitors.StepCounter.step_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.StepCounter.step_begin(step) Overrides BaseMonitor.step_begin. When

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tf.contrib.learn.monitors.RunHookAdapterForMonitors.begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.RunHookAdapterForMonitors.begin()

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tf.contrib.learn.monitors.CaptureVariable.
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.CaptureVariable.__init__(var_name, every_n=100, first_n=1) Initializes a CaptureVariable monitor.

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tf.contrib.learn.monitors.CheckpointSaver.end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.CheckpointSaver.end(session=None)

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