tf.compat.v1.train.export_meta

Generates a checkpoint state proto.

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

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.
`all_model_checkpoint_timestamps`	A list of floats, indicating the number of seconds since the Epoch when each checkpoint was generated.
`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).

Returns
CheckpointState proto with model_checkpoint_path and all_model_checkpoint_paths updated to either absolute paths or relative paths to the current save_dir.

Raises
`ValueError`	If `all_model_checkpoint_timestamps` was provided but its length does not match `all_model_checkpoint_paths`.

TensorFlow

tf.compat / v1 / v1.train.export_meta_graph

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TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

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tf.graph_util

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tf.compat / v1 / v1.train.export_meta_graph

Args

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