2 Commits

Author	SHA1	Message	Date
Vijay Janapa Reddi	442e860d5f	Fix module file naming and tensor assignment issues ... - Updated module.yaml files for 05_dense and 06_spatial to reference correct dev file names - Fixed #| default_exp directives in dense_dev.py and spatial_dev.py to export to correct module names - Fixed tensor assignment issues in 12_compression module by creating new Tensor objects instead of trying to assign to .data property - Removed missing function imports from autograd integration test - All individual module tests now pass (01_setup through 14_benchmarking) - Generated correct module files: dense.py, spatial.py, attention.py	2025-07-18 01:56:07 -04:00
Vijay Janapa Reddi	59d58718f9	refactor: Implement learner-focused module progression with better naming ... ✅ Renamed modules for clearer pedagogical flow: - 05_networks → 05_dense (multi-layer dense/fully connected networks) - 06_cnn → 06_spatial (convolutional networks for spatial patterns) - 06_attention → 07_attention (attention mechanisms for sequences) ✅ Shifted remaining modules down by 1: - 07_dataloader → 08_dataloader - 08_autograd → 09_autograd - 09_optimizers → 10_optimizers - 10_training → 11_training - 11_compression → 12_compression - 12_kernels → 13_kernels - 13_benchmarking → 14_benchmarking - 14_mlops → 15_mlops - 15_capstone → 16_capstone ✅ Updated module metadata (module.yaml files): - Updated names, descriptions, dependencies - Fixed prerequisite chains and enables relationships - Updated export paths to match new names New learner progression: Foundation → Individual Layers → Dense Networks → Spatial Networks → Attention Networks → Training Pipeline Perfect pedagogical flow: Build one layer → Stack dense layers → Add spatial patterns → Add attention mechanisms → Learn to train them all.	2025-07-18 00:12:50 -04:00