💡 [REQUEST] Add the latest PyTorch features into basics Autograd tutorial
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Description
🚀 Describe the improvement or the new tutorial
The Autograd tutorial does a good job of covering the basic graph creation and then running .backward(). However, there are new features from the latest PyTorch that can be highlighted in the tutorial.
cc: @soulitzer
Existing tutorials on this topic
https://pytorch.org/tutorials/beginner/basics/autogradqs_tutorial
Additional context
No response
cc @subramen @albanD @jbschlosser
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the existing basics Autograd tutorial at pytorch.org/tutorials/beginner/basics/autogradqs_tutorial and review the repository's tutorial source. Identify which current PyTorch Autograd features are appropriate to add, then update the tutorial with examples and explanations. Done means the agreed features are documented clearly and the tutorial builds or renders successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100