explaingit

pytorch/tutorials

★ 9,155PythonAudience · developerComplexity · 3/5Setup · moderate

TLDR

Source repository for the official PyTorch tutorial website, useful only if you want to contribute a new tutorial or fix an error, visit pytorch.org/tutorials directly to actually learn PyTorch.

Mindmap

mindmap
  root((pytorch/tutorials))
    Purpose
      Docs source files
      Contribution hub
    Output formats
      Python files
      Jupyter notebooks
      HTML website
    Who uses it
      Tutorial contributors
      Docs maintainers
    Use cases
      Fix tutorial errors
      Add new tutorials
      Local docs preview
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Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

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Things people build with this

USE CASE 1

Contribute a new tutorial to the official PyTorch documentation by writing a Python file and submitting a pull request.

USE CASE 2

Fix a bug or outdated code snippet in an existing official PyTorch tutorial.

USE CASE 3

Build and preview the full pytorch.org/tutorials documentation site locally on your machine.

Tech stack

PythonPyTorchJupyterSphinx

Getting it running

Difficulty · moderate Time to first run · 1h+

Building the docs locally requires installing dependencies and running a build step, not for learning PyTorch, visit the website instead.

In plain English

This repository holds the source files for the official PyTorch tutorial website, which lives at pytorch.org/tutorials. PyTorch is a widely used library for building machine learning and AI models, particularly for tasks like image recognition, natural language processing, and related fields. The tutorials here teach developers how to use PyTorch effectively, ranging from beginner introductions to advanced techniques. The tutorials themselves are not meant to be read directly from this repository. They are published as a website and are written as Python files that get converted into formatted HTML documentation pages and Jupyter notebooks. Jupyter notebooks are interactive files that let you run code step by step in a browser, which makes them well-suited for learning. This repository is mainly useful for people who want to contribute a new tutorial, fix an error in an existing one, or run the documentation locally on their own machine. Contributing involves writing a Python file following a specific format, placing it in the right folder based on difficulty level, and following the project's submission policy before sending it for review. If you just want to learn PyTorch, you should visit the tutorials website directly rather than working with this repository. If you have a question about a tutorial, the project directs you to post on the PyTorch developer forum rather than opening an issue here. The repository is a source and contribution hub, not the primary place where learning happens.

Copy-paste prompts

Prompt 1
I want to contribute a tutorial to pytorch/tutorials. Walk me through the required file format, folder placement, and submission checklist.
Prompt 2
Help me write a PyTorch tutorial Python file for beginners learning image classification that follows the official pytorch/tutorials format.
Prompt 3
Show me how to build the pytorch/tutorials documentation locally so I can preview my changes before submitting a pull request.
Prompt 4
I found a code error in an existing PyTorch tutorial. Walk me through forking the repo, making the fix, and opening a pull request.
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