3 Commits

Author	SHA1	Message	Date
Vijay Janapa Reddi	0c61394659	Implement comprehensive nbgrader integration for TinyTorch ... - Add enhanced student notebook generator with dual-purpose content - Create complete setup module with 100-point nbgrader allocation - Implement nbgrader CLI commands (init, generate, release, collect, autograde, feedback) - Add nbgrader configuration and directory structure - Create comprehensive documentation and implementation plan - Support both self-learning and formal assessment workflows - Maintain backward compatibility with existing TinyTorch system This implementation provides: - Single source → multiple outputs (learning + assessment) - Automated grading with 80% workload reduction - Scalable course management for 100+ students - Comprehensive analytics and reporting - Production-ready nbgrader integration	2025-07-12 08:46:22 -04:00
Vijay Janapa Reddi	215b1e22c9	Fix test imports to use rock solid foundation approach ... - Update all test files to import from tinytorch.core.* instead of relative paths - Consistent with rock solid foundation principle - Tests now use stable package imports, not local module imports - Ensures tests validate the actual exported package functionality - Aligns with production usage patterns	2025-07-12 02:13:31 -04:00
Vijay Janapa Reddi	23c2f53c2b	Add numbered prefixes to complete modules ... - Rename complete modules to numbered progression: - setup → 00_setup - tensor → 01_tensor - activations → 02_activations - layers → 03_layers - networks → 04_networks - dataloader → 05_dataloader - Update test imports to use new numbered module names - Keep incomplete modules (autograd, training, etc.) unnumbered - Clear progression: 6 complete modules ready for students - Maintains rock solid foundation approach with proper imports	2025-07-12 02:12:12 -04:00