I am planning to do a hyperparameter tuning using hydra’s optuna plugin and mlflow logging. Instead of using hydra I generally use Hydra-zen to define and manipulate the config file within the python file as a string. Do i need to rebuild the docker container to install these packages?
Modulus hyperparameter tuning?
If you want to use another package with Modulus, I see a couple options one could try:
- Install the new package via pip inside a running docker container. This won’t put the package into the image we provide, but you can keep and reuse your stopped container which you could start again.
- Build a new development Docker image using the Modulus image a the parent image. Basically your new docker file would have
FROM modulus:22.09then pip install whatever.
- Build a Modulus Docker image from scratch (not recommended since this will remove some items) adding the new package into the Dockerfile.
Hopefully one of these works for you.
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