tf.contrib.learn.monitors.LoggingTrainable.step_end()

tf.contrib.learn.monitors.LoggingTrainable.step_end(step, output)

Overrides BaseMonitor.step_end.

When overriding this method, you must call the super implementation.

Args:

• step: int, the current value of the global step.
• output: dict mapping string values representing tensor names to the value resulted from running these tensors. Values may be either scalars, for scalar tensors, or Numpy array, for non-scalar tensors.

Returns:

bool, the result of every_n_step_end, if that was called this step, or False otherwise.