As the title already suggests.
I was looking into the latest examples of PyTorch with Ray Tune here and found that resuming from a checkpoint and reporting to tune is now handled via the session API provided by Ray AIR.
Is it necessary to adapt TuneReportCallback and TuneReportCheckpointCallback accordingly?
As the title already suggests. I was looking into the latest examples of PyTorch with Ray Tune here and found that resuming from a checkpoint and reporting to tune is now handled via the session API provided by Ray AIR.
Is it necessary to adapt
TuneReportCallback
andTuneReportCheckpointCallback
accordingly?