Object-Oriented Patterns

Overview

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

Topics

• 01 Classes & Inheritance - Building layer hierarchies, mixins
• 02 Decorators - Framework magic (@property, @abstractmethod, custom)
• 04 Descriptors & Properties - Lazy loading, parameter binding
• 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 (+, *, @)

Quick Links

• 02 Autograd Implementation - Custom autograd with decorators
• 00 Readme - Functional alternatives to OOP