tf.contrib.eager.seterr

tf.contrib.eager.seterr(inf_or_nan=None)

Defined in tensorflow/python/eager/execution_callbacks.py.

Set how abnormal conditions are handled by the default eager context.

Example:

tfe.seterr(inf_or_nan="raise")
a = tf.constant(10.0)
b = tf.constant(0.0)
try:
  c = a / b  # <-- Raises InfOrNanError.
except Exception as e:
  print("Caught Exception: %s" % e)

tfe.seterr(inf_or_nan="ignore")
c = a / b  # <-- Does NOT raise exception anymore.

Args:

  • inf_or_nan: Set action for infinity (inf) and NaN (nan) values. Possible values: {"ignore", "print", "raise", "warn"}. "ignore": take no action when inf values appear. "print": print a warning to stdout. "raise": raise an InfOrNanError. "warn": print a warning using tf.logging.warn. A value of None leads to no change in the action of the condition.

Returns:

A dictionary of old actions.

Raises:

  • ValueError: If the value of any keyword arguments is invalid.