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https://github.com/MLSysBook/TinyTorch.git
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9f09f88f4a
Introduces a standardized module structure with README, notebooks, tutorials, tests, and solutions. Refactors the project to emphasize a modular learning path, enhancing clarity and consistency across the TinyTorch course. Changes the virtual environment path to ".venv".
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
"""
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Setup Module Reference Solution
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This file contains the reference implementation for the setup module.
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Instructors can use this to verify student work or provide hints.
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Student Task: Implement hello_tinytorch() function in tinytorch/core/utils.py
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"""
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def hello_tinytorch() -> str:
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"""
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Return a greeting message for new TinyTorch users.
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This function serves as the "hello world" for the TinyTorch system.
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It introduces students to the development workflow and testing process.
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Returns:
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A welcoming message string that includes:
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- Welcoming content
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- TinyTorch branding (🔥 emoji)
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- Encouraging message about building ML systems
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"""
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return "🔥 Welcome to TinyTorch! Ready to build ML systems from scratch! 🔥"
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# Example usage and testing
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if __name__ == "__main__":
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# Test the function
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result = hello_tinytorch()
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print(f"Function result: {result}")
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# Verify requirements
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checks = []
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checks.append(isinstance(result, str))
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checks.append(len(result.strip()) > 0)
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checks.append('🔥' in result)
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checks.append(any(word in result.lower() for word in ['welcome', 'hello', 'tinytorch', 'ready']))
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print("\nRequirements check:")
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print(f" ✅ Returns string: {checks[0]}")
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print(f" ✅ Non-empty: {checks[1]}")
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print(f" ✅ Contains 🔥: {checks[2]}")
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print(f" ✅ Welcoming content: {checks[3]}")
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if all(checks):
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print("\n🎉 All requirements met!")
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else:
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print("\n❌ Some requirements not met.") |