mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-03-19 12:49:40 -05:00
fdd4e70471
✅ CONSOLIDATED ALL MODULES: - tensor_dev.py: ✅ Already perfect (reference implementation) - activations_dev.py: ✅ Already clean - layers_dev.py: ✅ Consolidated duplicates, single matmul_naive + Dense - networks_dev.py: ✅ Consolidated duplicates, single Sequential + create_mlp - cnn_dev.py: ✅ Consolidated duplicates, single conv2d_naive + Conv2D + flatten - dataloader_dev.py: ✅ Consolidated duplicates, single Dataset + DataLoader + SimpleDataset 🔧 STANDARDIZED PATTERN ACROSS ALL MODULES: - One function/class per concept (no duplicates) - Comprehensive educational comments with TODO, APPROACH, EXAMPLE, HINTS - Complete solutions with ### BEGIN SOLUTION / ### END SOLUTION - NBGrader metadata for all cells - Comprehensive test cells with assertions - Educational content explaining concepts and real-world applications 📊 VERIFICATION: - All modules tested and working correctly - All tests passing - Clean educational structure maintained - Production-ready implementations 🎉 RESULT: Complete TinyTorch educational framework with consistent, clean, and comprehensive module structure following the tensor_dev.py pattern. Ready for classroom use with professional-grade ML systems curriculum.