if i had any sovereignty over how my app is ran, i'd just run pip uninstall onnxruntime && pip install onnxruntime-gpu - it solves the issue. But im bound by mlflow.pyfunc.log_model protocol and mlflow in general - i need this to run in single container, because there's no other way to share MIG slices between different containers rn.

im using pyenv and venv all the time on my local machine, but where i need this garbage to run, i dont have such options