MiniTorch Module 1

• Docs: https://minitorch.github.io/

• Overview: https://minitorch.github.io/module1.html

This module requires operators.py and module.py from Module 0

cp ../Module-0/operators.py ../Module-0/module.py minitorch/

• Tests:

python run_tests.py

My Notes

• Parameters are also Variables as well as inputs. All the intermediate outputs are also Variables.
• In backpropagate in autodiff.py, we only add derivatives to Variables that are leaf nodes, this means Variables that have no function history or are not produced by the result of applying a function on some other Variables. These are the parameters Variables.
• The code in run_scalar.py does batch gradient descent.