Open Sinsilcobio opened 1 month ago
I got the same problem. I imported torch, executed "torch.cuda.is_available()" and got TRUE. But the model still run not recognizing GPU. Have you solved this issue?
I am unsure whether the Cuda compute core should be engaged or not. However, I can successfully generate the model without it. Is it the same story on your side or no model is generated in your case?
When I am running protein-small molecule complex, I can see that my P0 GPU (NVIDIA L$ at Google Cloud) and python process is in the GPU memory however the GPU utilization shows as 0%... I assume it is the same problem. Any suggestions?
I successfully installed the package and executed it for the protein-ligand complex using the following command on a system equipped with an NVIDIA GeForce RTX 4070 Ti:
python -m rf2aa.run_inference --config-name protein_sm
The model generated successfully, utilizing only the CPU and GPU memory, but without engaging the CUDA cores.
Could you please confirm if the system has recognized the GPU? If so, what could be the reason for the non-utilization of the CUDA cores?
Thank you!