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

tf.compat.v1.flags.DEFINE_multi

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Registers a generic MultiFlag that parses its args with a given parser.

tf.compat.v1.flags.DEFINE_multi(
    parser,
    serializer,
    name,
    default,
    help,
    flag_values=_flagvalues.FLAGS,
    module_name=None,
    required=False,
    **args
)

Auxiliary function. Normal users should NOT use it directly.

Developers who need to create their own 'Parser' classes for options which can appear multiple times can call this module function to register their flags.

Args
parser	ArgumentParser, used to parse the flag arguments.
serializer	ArgumentSerializer, the flag serializer instance.
name	str, the flag name.
default	Union[Iterable[T], Text, None], the default value of the flag. If the value is text, it will be parsed as if it was provided from the command line. If the value is a non-string iterable, it will be iterated over to create a shallow copy of the values. If it is None, it is left as-is.
help	str, the help message.
flag_values	:class:FlagValues, the FlagValues instance with which the flag will be registered. This should almost never need to be overridden.
module_name	A string, the name of the Python module declaring this flag. If not provided, it will be computed using the stack trace of this call.
required	bool, is this a required flag. This must be used as a keyword argument.
**args	Dictionary with extra keyword args that are passed to theFlag.__init__.

Returns
a handle to defined flag.

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Last updated 2024-04-26 UTC.