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Nan accumulation for nerfacto applied on redwoods2
See original GitHub issueDescribe the bug
AssertionError: the min value is -9223372036854775808 in outputs["accumulation"] after 490 iterations using nerfacto on nerfstudio/redwoods2. I tried different seeds and still get the error at 490 iterations. This does not happen on the other nerfstudio scenes.
To Reproduce
- Follow the installation guidelines in the readme.md (with CUDA 11.3, Ubuntu 18.04)
- Download the scene using
ns-download-data --dataset nerfstudio --capture redwoods2 - Run
ns-train nerfacto --vis tensorboard --data data/nerfstudio/redwoods2.
Expected behavior
It should train smoothly
Screenshots
Extra context
It seems related to #117, which looks resolved by a previous PR. Let me know if you need more details on the machine/package versions
Issue Analytics
- State:
- Created a year ago
- Comments:21 (8 by maintainers)
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I’m able to replicate this error. We would also see this issue when we trained nerfacto for a large number of iterations (>50k). Seems like it appears early for this scene. The issue is likely due to precision / numerical stability, however we have yet to trace it down.
When playing with tiny-cuda-nn-based models I’ve found that applying a small weight decay term (1e-6) sometimes helped with training stability, but at least in my case this was somewhat scene specific