tf.compat.v1.flags.DEFINE

Registers a flag whose value must be a float.

View aliases

Compat aliases for migration

tf.compat.v1.app.flags.DEFINE_float

tf.compat.v1.flags.DEFINE_float(
    name, default, help, lower_bound=None, upper_bound=None,
    flag_values=_flagvalues.FLAGS, **args
)

If lower_bound or upper_bound are set, then this flag must be within the given range.

Args
`name`	str, the flag name.
`default`	float\|str\|None, the default value of the flag.
`help`	str, the help message.
`lower_bound`	float, min value of the flag.
`upper_bound`	float, max value of the flag.
`flag_values`	FlagValues, the FlagValues instance with which the flag will be registered. This should almost never need to be overridden.
`**args`	dict, the extra keyword args that are passed to DEFINE.

Returns
a handle to defined flag.

TensorFlow

tf.compat / v1 / v1.flags.DEFINE_flag

View aliases

Args

Returns

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.DEFINE_flag

View aliases

Args

Returns