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authorGravatar Allen Lavoie <allenl@google.com>2018-04-19 09:54:40 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-04-19 09:57:23 -0700
commit436f1434060d7f370baae9661baacc6cf27415ec (patch)
tree9276bf419abb2e1bcfccdb7c43bea7ffbab80283 /tensorflow/contrib/__init__.py
parentc173157bdc132460c6f424a9803221e74fc73f59 (diff)
Create a skeleton tf.contrib.checkpoint.
My plan for this is to incubate tools for working with object-based checkpoints: - Tools for managing dependency graphs, e.g. checkpointable lists/dictionaries - Inspecting/visualizing checkpoints - Listing variables and gathering initializers from a Checkpointable object and its dependencies - Verifying all variables are accessible as dependencies, which should make converting existing graph building Saver uses easier/safer. This CL includes none of those things, it just moves the split_dependency tool here instead of contrib/eager. PiperOrigin-RevId: 193531292
Diffstat (limited to 'tensorflow/contrib/__init__.py')
-rw-r--r--tensorflow/contrib/__init__.py1
1 files changed, 1 insertions, 0 deletions
diff --git a/tensorflow/contrib/__init__.py b/tensorflow/contrib/__init__.py
index 36cc5144d0..0d163daa6e 100644
--- a/tensorflow/contrib/__init__.py
+++ b/tensorflow/contrib/__init__.py
@@ -24,6 +24,7 @@ import os
# Add projects here, they will show up under tf.contrib.
from tensorflow.contrib import batching
from tensorflow.contrib import bayesflow
+from tensorflow.contrib import checkpoint
from tensorflow.contrib import cloud
from tensorflow.contrib import cluster_resolver
from tensorflow.contrib import coder