...
Code Block | ||
---|---|---|
| ||
# spajanje na pristupni poslužitelj [korisnik@kompjuter:~] $ ssh mkvakic@login-gpu.hpc.srce.hr # izgradnja pytorch kontejnera [korisnik@x3000c0s27b0n0:~] $ apptainer build pytorch_1.13.1.sif docker://pytorch/pytorch:1.13.1-cuda11.6-cudnn8-runtime # print raznih informacija korištenjem --nv [korisnik@x3000c0s27b0n0:~] $ apptainer run --nv ./pytorch_1.13.1.sif python -c "import torch; print('Is cuda available?:', torch.cuda.is_available())" Is cuda available?: True [korisnik@x3000c0s27b0n0:~] $ apptainer run --nv ./pytorch_1.13.1.sif python -c "import torch; print('Device count:', torch.cuda.device_count())" Device count: 1 [korisnik@x3000c0s27b0n0:~] $ apptainer run --nv ./pytorch_1.13.1.sif python -c "import torch; print('Current device:', torch.cuda.current_device())" Current device: 0 [korisnik@x3000c0s27b0n0:~] $ apptainer run --nv ./pytorch_1.13.1.sif python -c "import torch; print('Device name:', torch.cuda.get_device_name(0))" Device name: NVIDIA A100-PCIE-40GB |
...