From f481df18f7a6da94229b7ff84b28720795925aa4 Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Thu, 12 Nov 2020 00:06:28 -0800 Subject: [PATCH] Minor description fix. PiperOrigin-RevId: 341991277 Change-Id: Ib5b5bf897aa00c6238774bfbe0a7c24cf225ffb4 --- tensorflow/python/distribute/coordinator/cluster_coordinator.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tensorflow/python/distribute/coordinator/cluster_coordinator.py b/tensorflow/python/distribute/coordinator/cluster_coordinator.py index 3db84a1060b..ca330b88ed0 100644 --- a/tensorflow/python/distribute/coordinator/cluster_coordinator.py +++ b/tensorflow/python/distribute/coordinator/cluster_coordinator.py @@ -1001,7 +1001,7 @@ class ClusterCoordinator(object): This method is non-blocking in that it queues the `fn` which will be executed later and returns a `tf.distribute.experimental.coordinator.RemoteValue` object immediately. - `fetch` can be called on the it to wait for the function execution to finish + `fetch` can be called on it to wait for the function execution to finish and retrieve its output from a remote worker. On the other hand, call `tf.distribute.experimental.coordinator.ClusterCoordinator.join` to wait for all scheduled functions to finish.