Scott Chase Waggener

Experiencing the same issue. It looks like disabling indentation guides with `SPC t h i` fixes the highlighting issue at the cost of no longer having indentation guides. SpaceVim debug...

I've encountered a similar issue after updating drivers/CUDA. I was trying to add [mamba](https://github.com/state-spaces/mamba) to a working pipeline but was having issues with NVCC / CUDA being out of date....

@awaelchli Thank you for your help. Setting `NCCL_P2P_DISABLE=1` did indeed resolve the problem. I was able to revert to 535.154.05 + CUDA 12.2 and now everything works normally.

I was facing a similar error. After digging a bit I found I had an import statement with a subtle error ```python from ..import X ``` Making the following correction...

I think I'm running into the same problem. Getting `ERROR: Unexpected segmentation fault encountered in worker` on multiple workers while training a model that uses Triton kernels. Persistent workers doesn't...

@flishwang I have adopted the manually break early strategy. Since I'm using PyTorch Lightning I don't have easy access to the data loader directly, but setting `limit_train_batches=0.95, limit_val_batches=0.95` in `pl.Trainer`...

It seems that this issue is not fully mitigated by the early break workaround. When running for a large number of epochs (200+) the error reappears. This is still much...

I think this has been resolved with the 3.0 update. I'm no longer seeing segmentation faults