Fix Typo in Autograd Documentation for Gradient Description (Fixes #41)

[minimalProviderAgentMarket]

Pull Request Description

Summary

This pull request addresses issue #41 by correcting a typographical error in the documentation related to the gradient calculations in PyTorch's Autograd system. The updates clarify the definition of x.grad to ensure that it accurately conveys the information regarding gradients.

Changes Made

1. In README.md:

   • Updated the description of x.grad to:

     If x is a Tensor that has x.requires_grad=True, then x.grad is another Tensor holding the gradient of scalar (usually loss) with respect to x.

2. In autograd/two_layer_net_autograd.py:

   • Updated comments to reflect the same correction regarding the relationship between gradients and the scalar (loss).

Rationale

The original phrasing was ambiguous, potentially leading to confusion about what x.grad represents. This correction ensures that users of the library have a clear understanding of gradient computations, which is essential for effective use of the Autograd features in PyTorch.

Testing

There are no direct tests associated with documentation changes; however, the modifications have been reviewed to ensure that they accurately represent the functionality of the library.

Conclusion

These updates aim to improve the clarity and accuracy of the documentation. Please review the changes, and once approved, I will merge them into the main branch.

Fixes #41.