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| author |  Allen Lavoie <allenl@google.com> | 2018-04-12 11:59:08 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-04-12 12:01:11 -0700 |
| commit | d1ee67c03a29d93fecd427f1a4693cb3fd6e6e38 (patch) | |
| tree | a82e6f85f81f4b81617539a607b403cbb1bceef0 /tensorflow/contrib/optimizer_v2 | |
| parent | 583ee0eabfb1bebd0eb533d2ab7a5c17af7e664e (diff) | |
Start moving Checkpointable utilities toward core
Doesn't add to the public API yet, just shifts code around. Changes:
- A tiny bit of renaming (to avoid having _Checkpoint and Checkpoint in the same file)
- Removed the garbage collection decorator from a few tests due to the uuid4() garbage issue (apparently core tests get run on Python 2.7.9?)
- Renamed "Object" to "CheckpointableObject" in the proto, since core protos have Java bindings and apparently Java had something else in mind for the keyword "Object" :)
but otherwise this is a pure move.
After this CL I'll propose adding tf.train.Checkpoint to the API (currently tf.contrib.eager.Checkpoint), move the utilities that are still in contrib/eager to their own contrib directory (there will be a few more misc. utilities for inspecting checkpoints and managing dependencies), get tf.train.Saver to read object-based checkpoints for compatibility, and work on Model.save_weights/load_weights.
PiperOrigin-RevId: 192646890
Diffstat (limited to 'tensorflow/contrib/optimizer_v2')
| -rw-r--r-- | tensorflow/contrib/optimizer_v2/checkpointable_utils_test.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/optimizer_v2/checkpointable_utils_test.py b/tensorflow/contrib/optimizer_v2/checkpointable_utils_test.py index 54bc23cdef..6ade4ccd52 100644 --- a/tensorflow/contrib/optimizer_v2/checkpointable_utils_test.py +++ b/tensorflow/contrib/optimizer_v2/checkpointable_utils_test.py @@ -24,7 +24,6 @@ import os import six -from tensorflow.contrib.eager.python import checkpointable_utils from tensorflow.contrib.optimizer_v2 import adam from tensorflow.python.client import session as session_lib from tensorflow.python.eager import backprop @@ -42,6 +41,7 @@ from tensorflow.python.ops import resource_variable_ops from tensorflow.python.ops import state_ops from tensorflow.python.ops import variable_scope from tensorflow.python.training import checkpointable +from tensorflow.python.training import checkpointable_utils from tensorflow.python.training import saver as core_saver from tensorflow.python.training import training_util |