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

tf.compat.v1.flags.DEFINE_multi_enum_class

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Registers a flag whose value can be a list of enum members.

tf.compat.v1.flags.DEFINE_multi_enum_class(
    name,
    default,
    enum_class,
    help,
    flag_values=_flagvalues.FLAGS,
    module_name=None,
    case_sensitive=False,
    required=False,
    **args
)

Use the flag on the command line multiple times to place multiple enum values into the list.

Args
name	str, the flag name.
default	Union[Iterable[Enum], Iterable[Text], Enum, Text, None], the default value of the flag; see DEFINE_multi; only differences are documented here. If the value is a single Enum, it is treated as a single-item list of that Enum value. If it is an iterable, text values within the iterable will be converted to the equivalent Enum objects.
enum_class	class, the Enum class with all the possible values for the flag. 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.
case_sensitive	bool, whether to map strings to members of the enum_class without considering case.
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.