tgravescs commented on a change in pull request #24374: [SPARK-27366][CORE] 
Support GPU Resources in Spark job scheduling
URL: https://github.com/apache/spark/pull/24374#discussion_r289441653
 
 

 ##########
 File path: 
core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
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 @@ -66,6 +66,11 @@ private[spark] class CoarseGrainedExecutorBackend(
   // to be changed so that we don't share the serializer instance across 
threads
   private[this] val ser: SerializerInstance = 
env.closureSerializer.newInstance()
 
+  // Map each taskId to the resource informations allocated to it, the 
resource information
+  // includes resource name and resource addresses.
 
 Review comment:
   similar here I don't think we need to include the comment on what 
ResourceInformation contains

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