Github user skonto commented on a diff in the pull request:
https://github.com/apache/spark/pull/14644#discussion_r78283698
--- 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 --
@klueska I think you need to autodiscover anything, the concept is similar
to cpus max in the scheduler.
@tnachen I think there should be some logic checking current total against
the max gpus configured like in the case of cpusMax. I dont see any. I expect
offers to be splitted. In that case we need to check the sum of the assigned
gpus against the max right?
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