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Training does not use the Nvidia GPU, is it normal?
See original GitHub issueWhen running ns-train nerfacto --data data/nerfstudio/poster, only the CPU of my laptop is getting some load.
According to the task manager, the load of my Nvidia GPU is 0%.
As a result, the training is quite slow, and I’m actually surprised that it works at all, considering CUDA was supposed to be required.
Am I missing something? What info can I provide to help figure this one out?
OS : Windows 10
GPU : Nvidia RTX 3050 laptop
Cuda : version returned by nvcc cuda_11.8.r11.8/compiler.31833905_0
Installation was done in a conda env as per the doc. Nerfstudio, installed nerfstudio==0.1.10 with pip
Issue Analytics
- State:
- Created 10 months ago
- Comments:6 (1 by maintainers)
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@Jordan-Pierce it seems like you are right. It is an issue with windows task manager reporting. I just tried with nvidia-smi during the training, and the GPU is at 70% load, and not 0%.
vram