3 Commits

Author	SHA1	Message	Date
Vijay Janapa Reddi	4e28bbc6ff	✅ Fix 13_kernels: Move integration test BEFORE testing, clean structure ... CORRECTED PATTERN NOW: 1. ✅ Integration test (test_module_kernel_sequential_model) - BEFORE ## 🧪 Module Testing 2. ✅ ## 🧪 Module Testing (markdown section) 3. ✅ STANDARDIZED MODULE TESTING (nbgrader cell) 4. ✅ if __name__ == '__main__' block with run_module_tests_auto 5. ✅ ## 🎯 Module Summary (immediately after, no code between) FIXES APPLIED: ✅ Moved integration test function from AFTER testing section to BEFORE it ✅ Removed duplicate integration test function and markdown section ✅ Added integration test to the if __name__ == '__main__' block ✅ Clean STANDARDIZED MODULE TESTING structure Module 13_kernels now follows the exact pattern	2025-07-20 09:45:38 -04:00
Vijay Janapa Reddi	f77db43975	⚡ Production: Standardize test naming in optimization and deployment modules ... - Compression: test_compression_metrics → test_unit_compression_metrics - Compression: test_magnitude_pruning → test_unit_magnitude_pruning - Compression: test_quantization → test_unit_quantization - Compression: test_distillation → test_unit_distillation - Compression: test_structured_pruning → test_unit_structured_pruning - Compression: test_comprehensive_comparison → test_unit_comprehensive_comparison - Kernels: All test_* → test_unit_* except test_kernel_integration_* → test_module_* - Benchmarking: All test_* → test_unit_* except test_comprehensive_* → test_module_* - MLOps: All test_* → test_unit_* except test_comprehensive_integration → test_module_* - Finalizes test naming standardization across production-ready modules	2025-07-20 08:39:27 -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