Lightning-AI/pytorch-lightning

"MisconfigurationException: No supported gpu backend found!" with multi gpu training in jupyter notebooks

Open

#15.254 geöffnet am 22. Okt. 2022

Auf GitHub ansehen
 (18 Kommentare) (1 Reaktion) (0 zugewiesene Personen)Python (3.233 Forks)batch import
accelerator: cudabughelp wantedrepro needed

Repository-Metriken

Stars
 (26.687 Stars)
PR-Merge-Metriken
 (Durchschn. Merge 9T 15h) (3 gemergte PRs in 30 T)

Beschreibung

Bug description

When trying to train on two GPUs in a jupyter notebooks environment on jarvislabs.ai with ddp_notebooks I get the following error "MisconfigurationException: No supported gpu backend found!".

I'm trying to train on two RTX 5000 GPUs. On a Kaggle GPU the same code runs without any problem.

Any ideas?

How to reproduce the bug

trainer = pl.Trainer(
    max_epochs=2, 
    accelerator="gpu",
    devices=2,
    precision=16,
    accumulate_grad_batches=2
)
trainer.fit(model, train_dl, val_dl)

Error messages and logs

"MisconfigurationException: No supported gpu backend found!"

Environment


#- Lightning Component (e.g. Trainer, LightningModule, LightningApp, LightningWork, LightningFlow):
#- PyTorch Lightning Version (e.g., 1.5.0): 1.7.7
#- Lightning App Version (e.g., 0.5.2):
#- PyTorch Version (e.g., 1.10): 1.11
#- Python version (e.g., 3.9):
#- OS (e.g., Linux):
#- CUDA/cuDNN version: V11.6.55
#- GPU models and configuration: 2x RTX 5000
#- How you installed Lightning(`conda`, `pip`, source): pip
#- Running environment of LightningApp (e.g. local, cloud): jarvislabs.ai 

More info

No response

cc @justusschock @awaelchli

Contributor Guide