tf.compat.v1.train.FtrlOptimizer

Returns the mtimes (modification timestamps) of the checkpoints. (deprecated)

tf.compat.v1.train.get_checkpoint_mtimes(
    checkpoint_prefixes
)

Globs for the checkpoints pointed to by checkpoint_prefixes. If the files exist, collect their mtime. Both V2 and V1 checkpoints are considered, in that priority.

This is the recommended way to get the mtimes, since it takes into account the naming difference between V1 and V2 formats.

Args
`checkpoint_prefixes`	a list of checkpoint paths, typically the results of `Saver.save()` or those of `tf.train.latest_checkpoint()`, regardless of sharded/non-sharded or V1/V2.

Returns
A list of mtimes (in microseconds) of the found checkpoints.

TensorFlow

tf.compat / v1 / v1.train.FtrlOptimizer

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.train.FtrlOptimizer

Args

Returns