damccorm commented on issue #30644: URL: https://github.com/apache/beam/issues/30644#issuecomment-4336699541
Ok, that is a different job (https://console.cloud.google.com/dataflow/jobs/us-central1/2026-04-27_23_23_55-17842483795456124420) I think this problem is different than the gpu not being available. If I look in the logs, I see that drivers are getting installed. https://console.cloud.google.com/logs/query;query=resource.type%3D%22dataflow_step%22%0Aresource.labels.job_id%3D%222026-04-27_23_23_55-17842483795456124420%22%0ASEARCH%2528%22Driver%20Version%22%2529;cursorTimestamp=2026-04-28T06:53:19.858309Z;startTime=2026-04-28T06:23:56.662Z;endTime=2026-04-28T06:58:22.685Z?project=apache-beam-testing&e=13802955&mods=dm_deploy_from_gcs This probably means that pytorch is not able to find the driver for some reason. I'd recommend setting up a GPU with the same driver version, loading our container, and then running `torch._C._cuda_init()` to reproduce and validate this. Taking a closer look, though, I see we're not using a custom container; that is probably the issue, we should be following https://docs.cloud.google.com/dataflow/docs/gpu/use-gpus#custom-container and I'm not sure how this ever worked without that -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
