tf.compat.v1.flags.FlagValues

Convert a dict of values into process call parameters.

View aliases

Compat aliases for migration

tf.compat.v1.app.flags.flag_dict_to_args

tf.compat.v1.flags.flag_dict_to_args(
    flag_map, multi_flags=None
)

This method is used to convert a dictionary into a sequence of parameters for a binary that parses arguments using this module.

Args
`flag_map`	dict, a mapping where the keys are flag names (strings). values are treated according to their type: If value is None, then only the name is emitted. If value is True, then only the name is emitted. If value is False, then only the name prepended with 'no' is emitted. If value is a string then --name=value is emitted. If value is a collection, this will emit --name=value1,value2,value3, unless the flag name is in multi_flags, in which case this will emit --name=value1 --name=value2 --name=value3. Everything else is converted to string an passed as such.
`multi_flags`	set, names (strings) of flags that should be treated as multi-flags.

Args

flag_map

dict, a mapping where the keys are flag names (strings). values are treated according to their type:

If value is None, then only the name is emitted.
If value is True, then only the name is emitted.
If value is False, then only the name prepended with 'no' is emitted.
If value is a string then --name=value is emitted.
If value is a collection, this will emit --name=value1,value2,value3, unless the flag name is in multi_flags, in which case this will emit --name=value1 --name=value2 --name=value3.
Everything else is converted to string an passed as such.

multi_flags set, names (strings) of flags that should be treated as multi-flags.

Yields
sequence of string suitable for a subprocess execution.

TensorFlow

tf.compat / v1 / v1.flags.FlagValues

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Args

Yields

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.FlagValues

View aliases

Args

Yields