tf.compat.v1.flags.DEFINE_enum

Registers a 'Flag' object with a 'FlagValues' object.

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Compat aliases for migration

tf.compat.v1.app.flags.DEFINE_flag

tf.compat.v1.flags.DEFINE_flag(
    flag, flag_values=_flagvalues.FLAGS, module_name=None
)

By default, the global FLAGS 'FlagValue' object is used.

Typical users will use one of the more specialized DEFINE_xxx functions, such as DEFINE_string or DEFINE_integer. But developers who need to create Flag objects themselves should use this function to register their flags.

Args
`flag`	Flag, a flag that is key to the module.
`flag_values`	FlagValues, the FlagValues instance with which the flag will be registered. This should almost never need to be overridden.
`module_name`	str, the name of the Python module declaring this flag. If not provided, it will be computed using the stack trace of this call.

Returns
a handle to defined flag.

TensorFlow

tf.compat / v1 / v1.flags.DEFINE_enum_class

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TensorFlow

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tf.compat / v1 / v1.flags.DEFINE_enum_class

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