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Copy file name to clipboardExpand all lines: README.md
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@@ -14,8 +14,8 @@ We use sphinx-gallery's [notebook styled examples](https://sphinx-gallery.github
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Here's how to create a new tutorial or recipe:
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1. Create a notebook styled python file. If you want it executed while inserted into documentation, save the file with suffix `tutorial` so that file name is `your_tutorial.py`.
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2. Put it in one of the beginner_source, intermediate_source, advanced_source based on the level. If it is a recipe, add to recipes_source.
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2. For Tutorials, include it in the TOC tree at index.rst
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3. For Tutorials, create a thumbnail in the [index.rst file](https://github.com/pytorch/tutorials/blob/master/index.rst) using a command like `.. customcarditem:: beginner/your_tutorial.html`. For Recipes, create a thumbnail in the [recipes_index.rst](https://github.com/pytorch/tutorials/blob/master/recipes_source/recipes_index.rst)
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2. For Tutorials (except if it is a prototype feature), include it in the TOC tree at index.rst
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3. For Tutorials (except if it is a prototype feature), create a thumbnail in the [index.rst file](https://github.com/pytorch/tutorials/blob/master/index.rst) using a command like `.. customcarditem:: beginner/your_tutorial.html`. For Recipes, create a thumbnail in the [recipes_index.rst](https://github.com/pytorch/tutorials/blob/master/recipes_source/recipes_index.rst)
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In case you prefer to write your tutorial in jupyter, you can use [this script](https://gist.github.com/chsasank/7218ca16f8d022e02a9c0deb94a310fe) to convert the notebook to python file. After conversion and addition to the project, please make sure the sections headings etc are in logical order.
This directory contains tutorials demonstrating prototype features in PyTorch.
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**Prototype features** are not available as part of binary distributions like PyPI or Conda (except maybe behind run-time flags). To test these features we would, depending on the feature, recommend building from master or using the nightly wheelss that are made available on pytorch.org.
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*Level of commitment:* We are committing to gathering high bandwidth feedback only on these features. Based on this feedback and potential further engagement between community members, we as a community will decide if we want to upgrade the level of commitment or to fail fast.
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