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- Migrate pytorch docs, cpp docs and functorch docs to the pytorch_sphinx_theme2 - Migrate index.rst to markdown and restructure to use high-level horizontal bar sections Python API, Developer Notes - Added python-api.md which becomes the main container for the API docs. This file will be used to add all api references in the toctree. It would be great to have lint for this file: https://github.com/pytorch/pytorch/issues/150718 - Enabled mermaid sphinx extension and opengraph sphinx extension Pull Request resolved: https://github.com/pytorch/pytorch/pull/149331 Approved by: https://github.com/malfet, https://github.com/atalman, https://github.com/albanD
49 lines
1.5 KiB
Markdown
49 lines
1.5 KiB
Markdown
% PyTorch documentation master file, created by
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% sphinx-quickstart on Fri Dec 23 13:31:47 2016.
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% You can adapt this file completely to your liking, but it should at least
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% contain the root `toctree` directive.
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% :github_url: https://github.com/pytorch/pytorch
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PyTorch documentation
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===================================
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PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.
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Features described in this documentation are classified by release status:
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*Stable:* These features will be maintained long-term and there should generally
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be no major performance limitations or gaps in documentation.
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We also expect to maintain backwards compatibility (although
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breaking changes can happen and notice will be given one release ahead
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of time).
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*Beta:* These features are tagged as Beta because the API may change based on
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user feedback, because the performance needs to improve, or because
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coverage across operators is not yet complete. For Beta features, we are
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committing to seeing the feature through to the Stable classification.
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We are not, however, committing to backwards compatibility.
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*Prototype:* These features are typically not available as part of
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binary distributions like PyPI or Conda, except sometimes behind run-time
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flags, and are at an early stage for feedback and testing.
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```{toctree}
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:glob:
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:maxdepth: 2
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pytorch-api
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```
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```{toctree}
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:glob:
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:maxdepth: 2
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notes
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```
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## Indices and tables
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* {ref}`genindex`
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* {ref}`modindex`
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