Hey AddaxAI team,
I have a question regarding RTX 5090 support. During initialization, there’s a warning regarding the PyTorch install.
C:\Users\wildlife\AddaxAI_files\envs\env-base\lib\site-packages\torch\cuda_init_.py:209: UserWarning:
NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90 compute_37.
If you want to use the NVIDIA GeForce RTX 5090 GPU with PyTorch, please check the instructions at Get Started
Contrary to the warning, it seems like the actual process is using the GPU, albeit at a lower capacity than I would anticipate. Does the “Forward-compatibility issue detected, patching” message indicate that AddaxAI is patching a more current version of PyTorch on the fly?
I can run MegaDetector v1000 redwood in a custom script that uses Python 3.11.14 and torch-2.10.0+cu128 but my techs prefer working in the the Timelapse/AddaxAI GUI. That script sees processing rates around 70 images/s which is closer to what I’d expect than the ~10 images/s in AddaxAI. Is the performance being throttled or is it falling back on the CPU and reporting GPU?
Best,
Alex