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Implement modular backend with numpy & torch support #45

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@briangu briangu commented Jul 9, 2025

Summary

  • introduce backend switcher with current() and set_backend()
  • add NumPy backend featuring tiny autodiff engine
  • add Torch backend with NumPy fallback for strings
  • expose backends package and maintain legacy np shim
  • add tests for backend switching and gradient computation
  • provide top-level wrappers to backend ops via backend module

Testing

  • python3 -m unittest

https://chatgpt.com/codex/tasks/task_e_686dcd5cad308332b40134deecfbe87f

briangu and others added 13 commits July 9, 2025 12:48
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