Re-exported all modules after restructuring:
- Updated _modidx.py with new module locations
- Removed outdated autogeneration headers
- Updated all core modules (tensor, autograd, layers, etc.)
- Updated optimization modules (quantization, compression, etc.)
- Updated TITO commands for new structure
Changes include:
- 24 tinytorch/ module files
- 24 tito/ command and core files
- Updated references from modules/source/ to modules/
All modules re-exported via nbdev from their new locations.
🛡️ **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.
