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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/optimizer_v2
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/optimizer_v2')
-rw-r--r--tensorflow/contrib/optimizer_v2/BUILD1
1 files changed, 0 insertions, 1 deletions
diff --git a/tensorflow/contrib/optimizer_v2/BUILD b/tensorflow/contrib/optimizer_v2/BUILD
index 85cfce346c..5225ecc14f 100644
--- a/tensorflow/contrib/optimizer_v2/BUILD
+++ b/tensorflow/contrib/optimizer_v2/BUILD
@@ -115,7 +115,6 @@ cuda_py_test(
additional_deps = [
":training",
"@six_archive//:six",
- "//tensorflow/contrib/eager/python:checkpointable_utils",
"//tensorflow/python:constant_op",
"//tensorflow/python:dtypes",
"//tensorflow/python:framework_ops",