tgravescs commented on issue #24374: [SPARK-27366][CORE] Support GPU Resources in Spark job scheduling URL: https://github.com/apache/spark/pull/24374#issuecomment-483651835 @mengxr your point 3 I think has to deal with the executor side and the configs, so if we split those it would apply there. I'm also not sure what you mean by using a static conf there, how do you have a static conf that isn't hardcoded? You would have to build it on the fly to put in the resource type/accelerator_name. If we want to remove gpu as known (hardcoded) resource name then we should go all the way generic on the scheduler pieces. I was going to do that in a follow on PR but we could do it here as well if people prefer. Or are you just saying remove the hardcoded configs and still only do gpu for now?
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