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Template Tutorial#

Created On: Mar 29, 2023 | Last Updated: Jul 10, 2024 | Last Verified: Not Verified

Author: FirstName LastName

What you will learn
  • Item 1

  • Item 2

  • Item 3

Prerequisites
  • PyTorch v2.0.0

  • GPU ???

  • Other items 3

If you have a video, add it here like this:

To test your tutorial locally, you can do one of the following:

  • You can control specific files that generate the results by using GALLERY_PATTERN environment variable. The GALLERY_PATTERN variable respects regular expressions. For example to run only neural_style_transfer_tutorial.py, use the following command:

    GALLERY_PATTERN="neural_style_transfer_tutorial.py" make html
    

    or

    GALLERY_PATTERN="neural_style_transfer_tutorial.py" sphinx-build . _build
    
  • Make a copy of this repository and add only your tutorial to the beginner_source directory removing all other tutorials. Then run make html.

Verify that all outputs were generated correctly in the created HTML.

Overview#

Describe Why is this topic important? Add Links to relevant research papers.

This tutorial walks you through the process of….

Steps#

Example code (the output below is generated automatically):

import torch
x = torch.rand(5, 3)
print(x)
tensor([[0.2760, 0.9734, 0.7233],
        [0.7644, 0.1070, 0.9445],
        [0.1514, 0.7182, 0.8063],
        [0.8950, 0.9946, 0.1603],
        [0.6838, 0.3971, 0.2893]])

(Optional) Additional Exercises#

Add additional practice exercises for users to test their knowledge. Example: NLP from Scratch.

Conclusion#

Summarize the steps and concepts covered. Highlight key takeaways.

Further Reading#

  • Link1

  • Link2

Total running time of the script: (0 minutes 0.006 seconds)