Eric Cornwell

Just a shot in the dark because I just encountered a similar error is to make sure your CUDA environment vars are set properly: [https://github.com/NVlabs/tiny-cuda-nn/blob/master/README.md?plain=1#L100C1-L100C1](https://github.com/NVlabs/tiny-cuda-nn/blob/master/README.md?plain=1#L100C1-L100C1)

Actually...not sure how this was working with the new base image since nerfacc requires cuda

Ah, looks like an NVIDIA driver issue when using your published Dockerfile (using V100s) ``` RuntimeError: The NVIDIA driver on your system is too old (found version 11080). Please update...

Ok...built everything from scratch on a new machine and seems to have resolved itself. The only noticeable difference is I am building the docker image on an AL2 OS with...

Turns out, I misinterpreted how `checkpoint.every_n_train_steps` works. I assumed that would update the `ckpts/last.ckpt` file, but it looks like it appends data in the `ckpts` folder. @DSaurus is this normal...

I ended up setting `checkpoint.every_n_train_steps` and then have another thread that does clean-up in the checkpoint folder to remove the old checkpoint files. I only keep last.ckpt and the max...

xformers enforces the pytorch version based on their repo's released tag. I had to be sure to pick a version of xformers to stick with and be sure the dependencies...

I have had a similar error attempting to re-apply a previous header onto a new scan write. Any followup on what this error means?

I was able to solve my issue by commenting out header attributes inside of `e57.py` (lines starting at 234) that are not currently in my scan headers. I believe temperature,...

I received that same error when I tried to resume the training from a different dataset location (same dataset, just moved the dataset to a different location in the file...