tf.compat.v1.train.Supervisor

Updates the content of the 'checkpoint' file. (deprecated)

tf.compat.v1.train.update_checkpoint_state(
    save_dir, model_checkpoint_path, all_model_checkpoint_paths=None,
    latest_filename=None, all_model_checkpoint_timestamps=None,
    last_preserved_timestamp=None
)

This updates the checkpoint file containing a CheckpointState proto.

Args
`save_dir`	Directory where the model was saved.
`model_checkpoint_path`	The checkpoint file.
`all_model_checkpoint_paths`	List of strings. Paths to all not-yet-deleted checkpoints, sorted from oldest to newest. If this is a non-empty list, the last element must be equal to model_checkpoint_path. These paths are also saved in the CheckpointState proto.
`latest_filename`	Optional name of the checkpoint file. Default to 'checkpoint'.
`all_model_checkpoint_timestamps`	Optional list of timestamps (floats, seconds since the Epoch) indicating when the checkpoints in `all_model_checkpoint_paths` were created.
`last_preserved_timestamp`	A float, indicating the number of seconds since the Epoch when the last preserved checkpoint was written, e.g. due to a `keep_checkpoint_every_n_hours` parameter (see `tf.train.CheckpointManager` for an implementation).

Raises
`RuntimeError`	If any of the model checkpoint paths conflict with the file containing CheckpointSate.

TensorFlow

tf.compat / v1 / v1.train.Supervisor

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.train.Supervisor

Args

Raises