diff options
| author |  Brennan Saeta <saeta@google.com> | 2017-05-04 19:43:48 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2017-05-04 21:08:47 -0700 |
| commit | f28935a7d280b6ba75fe93fe35783d87b9cc2ec9 (patch) | |
| tree | db03a72f0dd29e8e09dcf7805684268b3d40a54c /tensorflow/python/__init__.py | |
| parent | efa08d80a53a95ce6b8beb61ec86a275aed6b6c7 (diff) | |
Implement ClusterSpec Propagation in TF Master
ClusterSpec propagation is a capability upgrade for TensorFlow that should make
it much easier to (1) build distributed TensorFlow clusters, and (2) handle
node failures. The ClusterSpec propagation capability allows TensorFlow workers
to be booted independently of each other, and with no knowledge about others.
The client can then construct a ClusterDef (ClusterSpec), and then send it
to the TF master at session creation. The master in turn then propagates the
ClusterDef along to all of the workers.
Change: 155159972
Diffstat (limited to 'tensorflow/python/__init__.py')
| -rw-r--r-- | tensorflow/python/__init__.py | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/tensorflow/python/__init__.py b/tensorflow/python/__init__.py index 864a96ef34..6336ca2310 100644 --- a/tensorflow/python/__init__.py +++ b/tensorflow/python/__init__.py @@ -55,6 +55,7 @@ from tensorflow.core.framework.summary_pb2 import * from tensorflow.core.framework.attr_value_pb2 import * from tensorflow.core.protobuf.meta_graph_pb2 import TensorInfo from tensorflow.core.protobuf.config_pb2 import * +from tensorflow.core.protobuf.tensorflow_server_pb2 import * from tensorflow.core.protobuf.rewriter_config_pb2 import * from tensorflow.core.util.event_pb2 import * @@ -131,6 +132,7 @@ _allowed_symbols = [ 'AttrValue', 'AutoParallelOptions', 'ConfigProto', + 'ClusterDef', 'DeviceSpec', 'Event', 'GPUOptions', |