tgravescs commented on a change in pull request #24374:
[WIP][SPARK-27366][CORE] Support GPU Resources in Spark job scheduling
URL: https://github.com/apache/spark/pull/24374#discussion_r284254663
##########
File path:
core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
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@@ -66,12 +66,16 @@ 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()
+ private[this] val taskResources = new mutable.HashMap[Long, Map[String,
ResourceInformation]]
+
override def onStart() {
logInfo("Connecting to driver: " + driverUrl)
val resources = parseOrFindResources(resourcesFile)
rpcEnv.asyncSetupEndpointRefByURI(driverUrl).flatMap { ref =>
// This is a very fast action so we can use "ThreadUtils.sameThread"
driver = Some(ref)
+
+ val resourceInfo = env.conf.getResources(false)
Review comment:
this isn't used, remove
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