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| author |  Allen Lavoie <allenl@google.com> | 2018-08-13 16:48:08 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-08-13 16:53:59 -0700 |
| commit | 7a81491366afb444efb914b93594a11fdfc19896 (patch) | |
| tree | 8a1af7f8549f08c2941d4ed47d3025ce63c8bf44 /tensorflow/contrib/checkpoint | |
| parent | b2dfe8a52053618afa1b0bd034ccbd2f9126ae6a (diff) | |
Add tf.contrib.checkpoint.CheckpointManager for deleting old checkpoints
Removes a bit of boilerplate from training loops (making a prefix from a directory).
Also clarifies the recovery of checkpoint lists (like tf.train.Saver.recover_last_checkpoints, but automatic and more thorough). Adds a couple fields to the CheckpointState proto to support this.
Should live in contrib until I make it work well with tf.keras.Model.save_weights. When used together, save_weights needs to number its checkpoints. (There's a TODO for this.)
PiperOrigin-RevId: 208566198
Diffstat (limited to 'tensorflow/contrib/checkpoint')
| -rw-r--r-- | tensorflow/contrib/checkpoint/__init__.py | 4 |
1 files changed, 4 insertions, 0 deletions
diff --git a/tensorflow/contrib/checkpoint/__init__.py b/tensorflow/contrib/checkpoint/__init__.py index 2fbaa31d5e..e92f0bb841 100644 --- a/tensorflow/contrib/checkpoint/__init__.py +++ b/tensorflow/contrib/checkpoint/__init__.py @@ -31,6 +31,9 @@ Checkpointable data structures: @@List @@Mapping @@UniqueNameTracker + +Checkpoint management: +@@CheckpointManager """ from __future__ import absolute_import @@ -41,6 +44,7 @@ from tensorflow.contrib.checkpoint.python.containers import UniqueNameTracker from tensorflow.contrib.checkpoint.python.split_dependency import split_dependency from tensorflow.contrib.checkpoint.python.visualize import dot_graph_from_checkpoint from tensorflow.core.protobuf.checkpointable_object_graph_pb2 import CheckpointableObjectGraph +from tensorflow.python.training.checkpoint_management import CheckpointManager from tensorflow.python.training.checkpointable.base import CheckpointableBase from tensorflow.python.training.checkpointable.data_structures import List from tensorflow.python.training.checkpointable.data_structures import Mapping |