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[AIR] Add AIR install extra (#24701)

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Closes #23439
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Amog Kamsetty 2022-05-12 09:25:52 -07:00 • committed by GitHub
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1
doc/source/ray-air/getting-started.rst
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@ -16,6 +16,7 @@ Ray AIR consists of 5 key components -- Data processing (Ray Data), Model Traini
Users can use these libraries interchangeably to scale different parts of standard ML workflows. Users can use these libraries interchangeably to scale different parts of standard ML workflows.
To get started, install Ray AIR via `pip install -U "ray[air]"`
.. tip:: .. tip::
**Getting involved with Ray AIR.** We'll be holding office hours, development sprints, and other activities as we get closer to the Ray AIR Beta/GA release. Want to join us? Fill out `this short form <https://forms.gle/wCCdbaQDtgErYycT6>`__! **Getting involved with Ray AIR.** We'll be holding office hours, development sprints, and other activities as we get closer to the Ray AIR Beta/GA release. Want to join us? Fill out `this short form <https://forms.gle/wCCdbaQDtgErYycT6>`__!

1
doc/source/ray-overview/installation.rst
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@ -22,6 +22,7 @@ To install Ray libraries:
.. code-block:: bash .. code-block:: bash
pip install -U "ray[air]" # installs Ray + dependencies for Ray AI Runtime
pip install -U "ray[tune]" # installs Ray + dependencies for Ray Tune pip install -U "ray[tune]" # installs Ray + dependencies for Ray Tune
pip install -U "ray[rllib]" # installs Ray + dependencies for Ray RLlib pip install -U "ray[rllib]" # installs Ray + dependencies for Ray RLlib
pip install -U "ray[serve]" # installs Ray + dependencies for Ray Serve pip install -U "ray[serve]" # installs Ray + dependencies for Ray Serve

9
python/setup.py
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@ -255,6 +255,15 @@ if setup_spec.type == SetupType.RAY:
"scipy", "scipy",
] ]
# Ray AI Runtime should encompass Data, Tune, and Serve.
setup_spec.extras["air"] = list(
set(
setup_spec.extras["tune"]
+ setup_spec.extras["data"]
+ setup_spec.extras["serve"]
)
)
setup_spec.extras["all"] = list( setup_spec.extras["all"] = list(
set(chain.from_iterable(setup_spec.extras.values())) set(chain.from_iterable(setup_spec.extras.values()))
) )