tf.compat.v1.flags.mark_flags_as_required
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Ensures that flags are not None during program execution.
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Compat aliases for migration
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Migration guide for
more details.
`tf.compat.v1.app.flags.mark_flags_as_required`
tf.compat.v1.flags.mark_flags_as_required(
flag_names, flag_values=_flagvalues.FLAGS
)
If your module might be imported by others, and you only wish to make the flag
required when the module is directly executed, call this method like this::
if __name__ == '__main__':
flags.mark_flags_as_required(['flag1', 'flag2', 'flag3'])
app.run()
Args |
|---|
flag_names
|
Sequence[str | FlagHolder], names or holders of the flags.
|
flag_values
|
flags.FlagValues, optional FlagValues instance where the flags
are defined.
|
Raises |
|---|
AttributeError
|
If any of flag name has not already been defined as a flag.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2022-10-27 UTC.
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