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Object-Oriented Patterns

Overview

PyTorch's architecture is fundamentally OOP-based. Understanding these patterns reveals how frameworks work internally.

Topics

  • [01 Classes & Inheritance](/05-py3/02-object-oriented-patterns/(01-classes-inheritance/) - Building layer hierarchies, mixins
  • 02 Decorators - Framework magic (@property, @abstractmethod, custom)
  • [04 Descriptors & Properties](/05-py3/02-object-oriented-patterns/(04-descriptors-properties/) - Lazy loading, parameter binding
  • [05 Metaclasses & Advanced Oop](/05-py3/02-object-oriented-patterns/(05-metaclasses-advanced-oop/) - Framework-level abstractions, model registration
  • 03 Magic Methods - __init__, __call__, __getitem__, operators

Key Patterns in PyTorch

  • nn.Module inheritance
  • Decorator-based configuration (@property)
  • Descriptor protocol for parameter access
  • Metaclass magic for tensor creation
  • Magic methods for operator overloading (+, *, @)