Note
Go to the end to download the full example code.
Template Tutorial#
Created On: Mar 29, 2023 | Last Updated: Jul 10, 2024 | Last Verified: Not Verified
Author: FirstName LastName
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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_PATTERNenvironment variable. The GALLERY_PATTERN variable respects regular expressions. For example to run onlyneural_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([[0.6178, 0.8333, 0.6484],
[0.3634, 0.4984, 0.5614],
[0.1604, 0.3878, 0.3571],
[0.6983, 0.3733, 0.2513],
[0.8999, 0.7986, 0.1649]])
(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#
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Total running time of the script: (0 minutes 0.006 seconds)