zhengruifeng commented on code in PR #40695:
URL: https://github.com/apache/spark/pull/40695#discussion_r1162185540
##########
python/pyspark/ml/torch/distributor.py:
##########
@@ -548,12 +560,23 @@ def set_torch_config(context: "BarrierTaskContext") ->
None:
os.environ["NODE_RANK"] = str(context.partitionId())
os.environ["RANK"] = str(context.partitionId())
- def set_gpus(context: "BarrierTaskContext") -> None:
- if CUDA_VISIBLE_DEVICES in os.environ:
- return
+ if local_master:
+ # distributed training on a local mode spark cluster
+ def set_gpus(context: "BarrierTaskContext") -> None:
+ if CUDA_VISIBLE_DEVICES in os.environ:
+ return
Review Comment:
I am not sure about this, here follows the distributed mode which respects
the `CUDA_VISIBLE_DEVICES` env
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