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Diffstat (limited to 'tensorflow/contrib/distribute/python/multi_worker_strategy.py')
-rw-r--r-- | tensorflow/contrib/distribute/python/multi_worker_strategy.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/distribute/python/multi_worker_strategy.py b/tensorflow/contrib/distribute/python/multi_worker_strategy.py index 0f21a42732..cbfe5df61d 100644 --- a/tensorflow/contrib/distribute/python/multi_worker_strategy.py +++ b/tensorflow/contrib/distribute/python/multi_worker_strategy.py @@ -46,7 +46,7 @@ class MultiWorkerMirroredStrategy(MirroredStrategy): * **In-graph replication**: the `client` creates a single `tf.Graph` that specifies tasks for devices on all workers. The `client` then creates a client session which will talk to the `master` service of a `worker`. Then - the `master` will parition the graph and distribute the work to all + the `master` will partition the graph and distribute the work to all participating workers. * **Worker**: A `worker` is a TensorFlow `task` that usually maps to one physical machine. We will have multiple `worker`s with different `task` |