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Given what is currently in the course, it might be worth considering to mention pytorch-lightning's LightningCLI. Already pytorch-lightning is in M14 - Minimizing boilerplate. But LightningCLI could be a good complement to what is in other sections. The main goals that LightningCLI addresses are:
Automatically save the full config (reproducibility)
Separation of code from config (good practice)
Make things automatically configurable (minimize boilerplate)
When the code is well written, i.e. parameters with type hints, descriptions in docstrings, defined where they are used (M7 - Good coding practice), all of these parameters automatically become configurable M10 - Config files. There is no need to learn how to use another framework like Hydra.
The text was updated successfully, but these errors were encountered:
Given what is currently in the course, it might be worth considering to mention pytorch-lightning's LightningCLI. Already pytorch-lightning is in M14 - Minimizing boilerplate. But
LightningCLI
could be a good complement to what is in other sections. The main goals thatLightningCLI
addresses are:When the code is well written, i.e. parameters with type hints, descriptions in docstrings, defined where they are used (M7 - Good coding practice), all of these parameters automatically become configurable M10 - Config files. There is no need to learn how to use another framework like Hydra.
The text was updated successfully, but these errors were encountered: