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  1. Today I was knee-deep in #Python dependency hell.

    At some point I used my browser to access the #HPC, to emulate #KDE, to launch another browser with #Jupyter.

    It still did not work.
    Current solution is to try making a minimal bundle and run on #GoogleCollab.

    Luckily it's only a tiny piece of the pipeline, that has to run interactively.

    I can't wait to get back to my lovely #rstats

  2. Does anybody have experience with #DeepLabCut and a workflow including #GoogleCollab?
    I'm looking at the documentation and feeling a bit lost.

    Super extra plus points if you have used a pre-trained #ModelZoo and annotated extra frames for better performance.
    @ecologies #AnimalBehavior #AnimalBehaviour #ComputerVision @academicchatter

  3. If anyone here has actually gotten to run - either locally on <12GB, or on a - please let me know. I've wasted too much of my life already on this :Þ

    Collab:

    GPU available: True, used: True
    ...
    CUDA_VISIBLE_DEVICES: [0]

    Local:

    RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling `cublasLtMatmul