tf.compat.v1.flags.multi_flags

Adds a constraint to multiple flags.

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Compat aliases for migration

tf.compat.v1.app.flags.register_multi_flags_validator

tf.compat.v1.flags.register_multi_flags_validator(
    flag_names, multi_flags_checker, message='Flags validation failed',
    flag_values=_flagvalues.FLAGS
)

The constraint is validated when flags are initially parsed, and after each change of the corresponding flag's value.

Args
`flag_names`	[str], a list of the flag names to be checked.
`multi_flags_checker`	callable, a function to validate the flag. input - dict, with keys() being flag_names, and value for each key being the value of the corresponding flag (string, boolean, etc). output - bool, True if validator constraint is satisfied. If constraint is not satisfied, it should either return False or raise flags.ValidationError.
`message`	str, error text to be shown to the user if checker returns False. If checker raises flags.ValidationError, message from the raised error will be shown.
`flag_values`	flags.FlagValues, optional FlagValues instance to validate against.

Raises
`AttributeError`	Raised when a flag is not registered as a valid flag name.

TensorFlow

tf.compat / v1 / v1.flags.multi_flags_validator

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Args

Raises

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.compat / v1 / v1.flags.multi_flags_validator

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Args

Raises