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Revert "Add Meta Internal info into READMEs (#730)" (#840)
Summary: This reverts commit d4ff03c. Pull Request resolved: #840 Reviewed By: highker Differential Revision: D80144114 Pulled By: dcci fbshipit-source-id: 822a7375a3c30838a7935185390545f6a696f6c8
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README.md

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@@ -101,21 +101,3 @@ We'll be adding more examples as we stabilize and polish functionality!
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## License
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Monarch is BSD-3 licensed, as found in the [LICENSE](LICENSE) file.
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## Meta Internal
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### Run `pip install`
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For internal users, make sure activate conda before running `pip install`. For
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example, using
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```
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source /data/users/$USER/fbsource/genai/xlformers/dev/xl_conda.sh activate torchtitan_conda_prod:latest_conveyor_build
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```
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In addition, you likely need to set up the pip proxy too:
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```
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export http_proxy="http://fwdproxy:8080"
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export https_proxy="http://fwdproxy:8080"
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```

examples/notebooks/README.md

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@@ -8,28 +8,15 @@ This folder contains some basic examples of using the Monarch API in jupyter not
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`pip install jupyter notebook`
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3. Run your jupyter notebook: `jupyter notebook`
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4. (optiona) In remote settings (as in a devserver), you can also port forward your jupyter notebook to your local machine. e.g.
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```
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# devserver
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jupyter notebook --no-browser --port=8098
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#local
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ssh -N -L 8098:localhost:8098 <devserver_address>
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```
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````
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5. Open localhost:8098 in your browser to see the jupyter notebook
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## Manifest
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* ping_pong.ipynb - Simple hello world with Actor API + Inter Actor Communication
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## Meta Internal
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### `ImportError`
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If you run into `ImportError`, it is possible that your conda build does not
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have the correct dependencies. You can try to fix this by running the following
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command if you do not need torch:
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```
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pip install $(buck build @//mode/opt --show-full-simple-output -c conda_third_party.fbpkg=torchtitan_conda_prod //monarch/python/monarch:monarch_no_torch.whl)
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```

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