tf.compat.v1.flags.DEFINE_multi_enum_class
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, **args )
Use the flag on the command line multiple times to place multiple enum values into the list.
Args | |
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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 | 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. |
**args | Dictionary with extra keyword args that are passed to the Flag init. |
Returns | |
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a handle to defined flag. |
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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/DEFINE_multi_enum_class