tf.compat.v1.flags.mark_flags_as_required | TensorFlow v2.16.1 (original) (raw)

tf.compat.v1.flags.mark_flags_as_required

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Ensures that flags are not None during program execution.

tf.compat.v1.flags.mark_flags_as_required(
    flag_names, flag_values=_flagvalues.FLAGS
)

If your module might be imported by others, and you only wish to make the flag required when the module is directly executed, call this method like this::

if __name__ == '__main__':
  flags.mark_flags_as_required(['flag1', 'flag2', 'flag3'])
  app.run()

Args
flag_names	Sequence[str \| FlagHolder], names or holders of the flags.
flag_values	flags.FlagValues, optional FlagValues instance where the flags are defined.

Raises
AttributeError	If any of flag name has not already been defined as a flag.

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Last updated 2024-04-26 UTC.