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BREAKING CHANGE: CLI moved from tinytorch/cli/ to tito/ Perfect Senior Engineer Architecture: - tinytorch/ = Pure ML framework (production) - tito/ = Development/management CLI tool - modules/ = Educational content Benefits: ✅ Clean separation of concerns ✅ Framework stays lightweight (no CLI dependencies) ✅ Clear mental model for users ✅ Professional project organization ✅ Proper dependency management Structure: tinytorch/ # 🧠 Core ML Framework ├── core/ # Tensors, layers, operations ├── training/ # Training loops, optimizers ├── models/ # Model architectures └── ... # Pure ML functionality tito/ # 🔧 Development CLI Tool ├── main.py # CLI entry point ├── core/ # CLI configuration & console ├── commands/ # Command implementations └── tools/ # CLI utilities Key Changes: - Moved all CLI code from tinytorch/cli/ to tito/ - Updated imports and entry points - Separated dependencies (Rich only for dev tools) - Updated documentation to reflect proper separation - Maintained backward compatibility with bin/tito wrapper This demonstrates how senior engineers separate: - Production code (framework) from development tools (CLI) - Core functionality from management utilities - User-facing APIs from internal tooling Educational Value: - Shows proper software architecture - Teaches separation of concerns - Demonstrates dependency management - Models real-world project organization
19 lines
388 B
Python
Executable File
19 lines
388 B
Python
Executable File
#!/usr/bin/env python3
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"""
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TinyTorch CLI Wrapper
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Backward compatibility wrapper that calls the professional CLI structure.
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"""
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import sys
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from pathlib import Path
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# Add the project root to Python path
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project_root = Path(__file__).parent.parent
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sys.path.insert(0, str(project_root))
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# Import and run the CLI
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from tito.main import main
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if __name__ == "__main__":
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sys.exit(main()) |