Rohit K Bharadwaj

Thanks a lot for the follow-up and for linking the PR. In this case once the PR gets merged, I can run the inference properly using my earlier model config...

@OceanTrader1 thanks for this, I wanted to ask what is the difference between using Pylance vs Jedi? is there any tradeoff for making this change? EDIT: Also, Im able to...

Hello, same question. how do you pad a "decord.video_reader.VideoReader" object? to specific frames? Say the read video has only 36 frames, but I want to pad it to length 48...

facing the same issue.. using following versions: ``` >>> torch.__version__ '2.2.0+cu121' >>> import xformers >>> xformers.__version__ '0.0.24' ``` this occurs at 200 steps when validation block runs..

doesn't happen without xformers. I also tried using the same pre-compiled binaries corresponding to CUDA 11.8 for pytorch and xformers. However, the issue still persisted. Removing the xformers flag from...

any updates on this?

Thanks a lot for providing the pip package @giswqs. Even I faced a lot of issues while trying to compile/install this package on my remote machine. This pip package seems...

~~I would like to update on this pip package @giswqs @rentainhe~~ ~~Yesterday I did not try running inference while using the installation from the pip package, I had just imported...

Sorry for the above comment and confusion..., I verified with inference and it seems to be working fine. I was running the code from wrong directory so it was trying...

Im having same issue as OP. I've installed code server with: `curl -fsSL https://code-server.dev/install.sh | sh -s -- --method standalone` Do I have to change some extension to make notebooks...