Test the Introduction to torch.autograd tutorial

[sekyondaMeta]

Test the following tutorial:
https://pytorch.org/tutorials/beginner/blitz/autograd_tutorial.html
Follow these steps:

1. Fork the pytorch/tutorials repo.
2. Switch to a new branch.
3. Run the tutorial as a python script:

python3 <path-to-tutorial>

4. Save the output into a .txt file. Did you see any errors? Add them to the output.
5. Run the tutorial in the Google Colab and save the outputs into a .txt file. Did you see any issues? Take screenshots of the issues.
6. Did the tutorial make sense? Can you suggest any improvements? Past all the outputs, screenshots, and suggestions for improvements in the issue and ping one of the reviewers. If your suggestion is approved, please submit a PR with the fix.

cc @albanD @svekars @kit1980 @brycebortree

[sitamgithub-MSIT]

/assigntome

[sitamgithub-MSIT]

Sorry for the delayed update. Update from my side: I tested the colab notebook, and it did go well. I am planning to add a few things to the tutorial.

[svekars]

Please submit the outputs of those runs as per the issue description and add your suggestion in a comment as well for the team to review.

[sitamgithub-MSIT]

Here is the output file for the python script command output.txt

[sitamgithub-MSIT]

The colab also works well and gives similar output as the Python script file here. Here is the co-lab link: https://colab.research.google.com/drive/1FDEkwHN9JHuYWYCBVaMA0d9N7Jqr8cLl?usp=sharing