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📚 Break Complex Modules into Digestible Sub-Components While Maintaining Module Unity about 2 months ago
AI Summary: Refactor several large TinyTorch modules (e.g., tensor operations, MLOps) into smaller, more digestible sub-components (around 300 lines each). Maintain the original module's functionality and educational flow, using a parts directory structure and a main orchestrator file to import and integrate the sub-components. Prioritize the largest modules first.
Complexity:
4/5
documentation enhancement good first issue
Tiny🔥Torch is a minimalist framework for building machine learning systems from scratch—from tensors to systems.
Python