tf.compat.v1.flags.CsvListSerializer

Declares one flag as key to the current module.

View aliases

Compat aliases for migration

tf.compat.v1.app.flags.declare_key_flag

tf.compat.v1.flags.declare_key_flag(
    flag_name, flag_values=_flagvalues.FLAGS
)

Key flags are flags that are deemed really important for a module. They are important when listing help messages; e.g., if the --helpshort command-line flag is used, then only the key flags of the main module are listed (instead of all flags, as in the case of --helpfull).

Sample usage:

flags.declare_key_flag('flag_1')

Args
`flag_name`	str, the name of an already declared flag. (Redeclaring flags as key, including flags implicitly key because they were declared in this module, is a no-op.)
`flag_values`	FlagValues, the FlagValues instance in which the flag will be declared as a key flag. This should almost never need to be overridden.

Raises
`ValueError`	Raised if flag_name not defined as a Python flag.

TensorFlow

tf.compat / v1 / v1.flags.CsvListSerializer

View aliases

Sample usage:

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.CsvListSerializer

View aliases

Sample usage:

Args

Raises