(master) Update docs feature classifications#39966
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jspisak
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The RPC edit isnt the right one.
it should be the "TorchScript support in RPC is experimental and subject to change."
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| TorchScript support in RPC is experimental and subject to change. | ||
| TorchScript support in RPC is beta and subject to change. |
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@jspisak - Is this beta or prototype? This doc shows prototype:https://fb.quip.com/7fGEAhAY5Etz
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Yes, the TorchScript/RPC is a prototype
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Can we also add torch.sparse to this PR as well? https://pytorch.org/docs/stable/sparse.html?highlight=experimental#
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@jlin27 is landing this pull request. If you are a Facebook employee, you can view this diff on Phabricator.
Summary: Update the following feature classifications in docs to align with the changes: 1. [High Level Autograd APIs](https://pytorch.org/docs/stable/autograd.html#functional-higher-level-api): Beta (was experimental) 2. [Eager Mode Quantization](https://pytorch.org/docs/stable/quantization.html): Beta (was experimental) 3. [Named Tensors](https://pytorch.org/docs/stable/named_tensor.html): Prototype (was experimental) 4. [TorchScript/RPC](https://pytorch.org/docs/stable/rpc.html#rpc): Prototype (was experimental) 5. [Channels Last Memory Layout](https://pytorch.org/docs/stable/tensor_attributes.html#torch-memory-format): Beta (was experimental) 6. [Custom C++ Classes](https://pytorch.org/docs/stable/cpp_index.html): Beta (was experimental) 7. [Torch.Sparse](https://pytorch.org/docs/stable/sparse.html): Beta (was experimental) Pull Request resolved: pytorch#39966 Differential Revision: D22213217 Pulled By: jlin27 fbshipit-source-id: dc49337cbc7026ed8dcac506fc60029dc3add854
Update the following feature classifications in docs to align with the changes: