Ensures that only one flag among flag_names is not None.
tf.compat.v1.flags.mark_flags_as_mutual_exclusive(
flag_names, required=False, flag_values=_flagvalues.FLAGS
)
Important note: This validator checks if flag values are None, and it does not distinguish between default and explicit values. Therefore, this validator does not make sense when applied to flags with default values other than None, including other false values (e.g. False, 0, '', []). That includes multi flags with a default value of [] instead of None.
| Args | |
|---|---|
flag_names | [str], names of the flags. |
required | bool. If true, exactly one of the flags must have a value other than None. Otherwise, at most one of the flags can have a value other than None, and it is valid for all of the flags to be None. |
flag_values | flags.FlagValues, optional FlagValues instance where the flags are defined. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/compat/v1/flags/mark_flags_as_mutual_exclusive