Commit Graph

2 Commits

Author SHA1 Message Date
Vijay Janapa Reddi
7e6eccae4a feat: Implement comprehensive student protection system for TinyTorch
🛡️ **CRITICAL FIXES & PROTECTION SYSTEM**

**Core Variable/Tensor Compatibility Fixes:**
- Fix bias shape corruption in Adam optimizer (CIFAR-10 blocker)
- Add Variable/Tensor compatibility to matmul, ReLU, Softmax, MSE Loss
- Enable proper autograd support with gradient functions
- Resolve broadcasting errors with variable batch sizes

**Student Protection System:**
- Industry-standard file protection (read-only core files)
- Enhanced auto-generated warnings with prominent ASCII-art headers
- Git integration (pre-commit hooks, .gitattributes)
- VSCode editor protection and warnings
- Runtime validation system with import hooks
- Automatic protection during module exports

**CLI Integration:**
- New `tito system protect` command group
- Protection status, validation, and health checks
- Automatic protection enabled during `tito module complete`
- Non-blocking validation with helpful error messages

**Development Workflow:**
- Updated CLAUDE.md with protection guidelines
- Comprehensive validation scripts and health checks
- Clean separation of source vs compiled file editing
- Professional development practices enforcement

**Impact:**
 CIFAR-10 training now works reliably with variable batch sizes
 Students protected from accidentally breaking core functionality
 Professional development workflow with industry-standard practices
 Comprehensive testing and validation infrastructure

This enables reliable ML systems training while protecting students
from common mistakes that break the Variable/Tensor compatibility.
2025-09-21 12:22:18 -04:00
Vijay Janapa Reddi
8cccf322b5 Add progressive demo system with repository reorganization
Implements comprehensive demo system showing AI capabilities unlocked by each module export:
- 8 progressive demos from tensor math to language generation
- Complete tito demo CLI integration with capability matrix
- Real AI demonstrations including XOR solving, computer vision, attention mechanisms
- Educational explanations connecting implementations to production ML systems

Repository reorganization:
- demos/ directory with all demo files and comprehensive README
- docs/ organized by category (development, nbgrader, user guides)
- scripts/ for utility and testing scripts
- Clean root directory with only essential files

Students can now run 'tito demo' after each module export to see their framework's
growing intelligence through hands-on demonstrations.
2025-09-18 17:36:32 -04:00