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=ExecutionCallback.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=ExecutionCallback.IGNORE)
c = a / b # <-- Does NOT raise exception anymore.
Args:
inf_or_nan
: AnExecutionCallback
determining the action for infinity (inf
) and NaN (nan
) values. A value ofNone
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.