Update README.md #2507
Update README.md #2507
Conversation
Update Feature classification, to reflect current reality. The prototype features are included in the release and are part of released binaries. See: pytorch/pytorch.github.io#1414
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/2507
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 2be527a: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
✅ Deploy Preview for pytorch-tutorials-preview ready!
To edit notification comments on pull requests, go to your Netlify site configuration. |
prototype_source/README.md
Outdated
| @@ -2,7 +2,7 @@ | |||
|
|
|||
| This directory contains tutorials and recipes demonstrating prototype features in PyTorch. | |||
|
|
|||
| **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 wheels that are made available on pytorch.org. | |||
| **Prototype features** are part of the release and are available as part of binary distributions like PyPI or Conda. To test these features we would, depending on the feature, recommend building from master or using the nightly wheels that are made available on pytorch.org or using release wheels available from PyPI or Conda. | |||
There was a problem hiding this comment.
Sorry, but who are we in this case? I would've rephrased it to something like to have a full experience of those features it is recommended to use nightly builds or build from source, if feature is gated behind a compiler flag
Also, I would clarify, that prototype feature are a preview of what will soon become available, but might undergone some changes, so it's not recommended to build ones production pipelines around those.
Co-authored-by: Svetlana Karslioglu <svekars@fb.com>
Update Feature classification, to reflect current reality. The prototype features are included in the release and are part of released binaries. See: pytorch/pytorch.github.io#1414