Optix denoiser error

Recently, when using the PathTracing render mode in Omniverse, I started getting lots of these errors.

2023-03-16 12:13:18 [47,201ms] [Error] [rtx.optixdenoising.plugin] result failed. Optix Error: OPTIX_ERROR_INTERNAL_ERROR.
Internal error
2023-03-16 12:13:18 [47,374ms] [Error] [rtx.optixdenoising.plugin] [Optix] [ERROR] Unable to load denoiser weights
Unable to load denoiser weights

The generated rendered images contain a lot of noise.

The last thing I was doing was rewriting my Python script (which runs Omniverse via SimulationApp) and my configuration files to use centimeters instead of meters. But even after returning back to the original state with meters the error still persists and the renders are noisy and unusable.

I do not know much about Optix denoiser.

What could be the cause of this problem and how can I solve it?

Thank you

Hello @michal.stanik! Do you remember what Application you were using and what version it was? If you go to your logs folder (usually found here: C:\Users<USERNAME>.nvidia-omniverse\logs\Kit<APPNAME>) and them here, I can have the RTX Team take a look at what the issue might be.

Also, what is your operating system and GPU/GPU Driver?

I was using Isaac Sim 2022.1.
I think I found the logs folder but I can see no recent logs (the newest is from February) :/.
I am running it inside a docker container (nvcr.io/nvidia/isaac-sim:2022.1.1 with some little changes) which is Ubuntu 18.04.6 LTS.
From nvidia-smi output in the container I have:
Driver Version: 515.48.07 CUDA Version: 11.7

I finally found the logs. They were not under .nvidia-omniverse/logs but rather under /isaac-sim/kit/logs/Kit/Isaac-Sim/2022.1/ (/isaac-sim is the workdir).

In the logs I could find

[Warning] [rtx.optixdenoising.plugin] Using OptiX denoiser with `normals` pass requires driver v440 or newer

Where can I check the driver version? I do not know what driver it is. nvidia-smi outputs

| NVIDIA-SMI 515.48.07    Driver Version: 515.48.07    CUDA Version: 11.7     |

The denoiser appears to work on another computer (running inside docker as well).