[ https://issues.apache.org/jira/browse/SPARK-41776?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Rithwik Ediga Lakhamsani resolved SPARK-41776. ---------------------------------------------- Resolution: Fixed Not needed, since we are now using `torch.distributed.run` > Implement support for PyTorch Lightning > --------------------------------------- > > Key: SPARK-41776 > URL: https://issues.apache.org/jira/browse/SPARK-41776 > Project: Spark > Issue Type: Sub-task > Components: ML, PySpark > Affects Versions: 3.4.0 > Reporter: Rithwik Ediga Lakhamsani > Priority: Major > > This requires us to just call train() on each spark task separately without > much preprocessing or postprocessing because PyTorch Lightning handles that > by itself. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org