3 Commits

Author	SHA1	Message	Date
Vijay Janapa Reddi	48f7b2dea7	🧪 Add standardized module testing to all modules ... Ensures consistent testing framework across all TinyTorch modules with: ✅ Added standardized testing sections to modules that were missing them: - 01_setup: Added complete testing section + module summary - 02_tensor: Added testing section + comprehensive module summary - 15_mlops: Standardized existing testing section to match convention ✅ All modules now follow the consistent pattern: 1. ## 🧪 Module Testing (markdown explanation) 2. Locked nbgrader cell with standardized-testing ID 3. run_module_tests_auto call to discover and run all tests 4. ## 🎯 Module Summary (educational wrap-up) ✅ Benefits: - Consistent testing experience across all 16 modules - Automatic test discovery and execution before module completion - Standardized educational flow: learn → implement → test → reflect - Professional testing practices with locked testing framework ✅ Verification: All 16 modules now have both: - '## 🧪 Module Testing' section ✓ - 'run_module_tests_auto' call ✓ This ensures students always verify their implementations work correctly before moving to the next module, following TinyTorch's educational philosophy.	2025-07-20 09:00:17 -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