Github user tnachen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14644#discussion_r78298417
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosCoarseGrainedSchedulerBackend.scala
---
@@ -103,6 +103,7 @@ private[spark] class MesosCoarseGrainedSchedulerBackend(
private val stateLock = new ReentrantLock
val extraCoresPerExecutor = conf.getInt("spark.mesos.extra.cores", 0)
+ val maxGpus = conf.getInt("spark.mesos.gpus.max", 0)
--- End diff --
Which sounds sensible to me since GPU is not usually required to run your
Spark job. And also cores.max is an aggregate max, where gpu.max as the current
patch is a per node max. I think I will change this into how cores.max work,
but default to 0.
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