Github user mccheah commented on the issue:
https://github.com/apache/spark/pull/21511
> But I am concerned about it setting a precedent for having to change
Spark's source code every time you want to request a new resource type. I am
very familiar with the space of machine learning accelerators, and trust me,
there's a lot of cool new things coming down the pipeline.
@galv this might fall under the more general question of how to give
arbitrary configurations to the pod we make in the driver and executors - see
https://issues.apache.org/jira/browse/SPARK-24434.
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