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Expand Base Module definitions #28

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leoglonz opened this issue Dec 8, 2024 · 0 comments

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leoglonz commented Dec 8, 2024

Summary

Currently, the base classes for trainers, loss functions, data loaders, and data samplers are very basic implementations on top of Torch. These should be expanded and refined to reflect and enforce the minimum standards we have on class methods, inputs and outputs.

Actions

Bring requirements of modules into alignment with the rules and expectations enforced by base classes.

Considerations

Now that we are moving forward with full development, we should focus on small but critical minutia like this.

leoglonz added the enhancement label

leoglonz self-assigned this

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