Replace all instances of ray.readthedocs.io with ray.io (ray-project#…

…7994)

.github/ISSUE_TEMPLATE/bug_report.md

@@ -19,4 +19,4 @@ Please provide a script that can be run to reproduce the issue. The script shoul
 If we cannot run your script, we cannot fix your issue.
 
 - [ ] I have verified my script runs in a clean environment and reproduces the issue.
-- [ ] I have verified the issue also occurs with the [latest wheels](https://ray.readthedocs.io/en/latest/installation.html).
+- [ ] I have verified the issue also occurs with the [latest wheels](https://docs.ray.io/en/latest/installation.html).

.github/PULL_REQUEST_TEMPLATE.md

@@ -11,7 +11,7 @@
 ## Checks
 
 - [ ] I've run `scripts/format.sh` to lint the changes in this PR.
-- [ ] I've included any doc changes needed for https://ray.readthedocs.io/en/latest/.
+- [ ] I've included any doc changes needed for https://docs.ray.io/en/latest/.
 - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failure rates at https://ray-travis-tracker.herokuapp.com/.
 - Testing Strategy
  - [ ] Unit tests

README.rst

@@ -4,7 +4,7 @@
  :target: https://travis-ci.com/ray-project/ray
 
 .. image:: https://readthedocs.org/projects/ray/badge/?version=latest
- :target: http:https://ray.readthedocs.io/en/latest/?badge=latest
+ :target: http:https://docs.ray.io/en/latest/?badge=latest
 
 |
 
@@ -15,10 +15,10 @@ Ray is packaged with the following libraries for accelerating machine learning w
 
 - `Tune`_: Scalable Hyperparameter Tuning
 - `RLlib`_: Scalable Reinforcement Learning
-- `RaySGD <https://ray.readthedocs.io/en/latest/raysgd/raysgd.html>`__: Distributed Training Wrappers
+- `RaySGD <https://docs.ray.io/en/latest/raysgd/raysgd.html>`__: Distributed Training Wrappers
 
 Install Ray with: ``pip install ray``. For nightly wheels, see the
-`Installation page <https://ray.readthedocs.io/en/latest/installation.html>`__.
+`Installation page <https://docs.ray.io/en/latest/installation.html>`__.
 
 **NOTE:** `We are deprecating Python 2 support soon.`_
 
@@ -70,7 +70,7 @@ Ray programs can run on a single machine, and can also seamlessly scale to large
 
 ``ray submit [CLUSTER.YAML] example.py --start``
 
-Read more about `launching clusters <https://ray.readthedocs.io/en/latest/autoscaling.html>`_.
+Read more about `launching clusters <https://docs.ray.io/en/latest/autoscaling.html>`_.
 
 Tune Quick Start
 ----------------
@@ -127,10 +127,10 @@ If TensorBoard is installed, automatically visualize all trial results:
 
  tensorboard --logdir ~/ray_results
 
-.. _`Tune`: https://ray.readthedocs.io/en/latest/tune.html
-.. _`Population Based Training (PBT)`: https://ray.readthedocs.io/en/latest/tune-schedulers.html#population-based-training-pbt
-.. _`Vizier's Median Stopping Rule`: https://ray.readthedocs.io/en/latest/tune-schedulers.html#median-stopping-rule
-.. _`HyperBand/ASHA`: https://ray.readthedocs.io/en/latest/tune-schedulers.html#asynchronous-hyperband
+.. _`Tune`: https://docs.ray.io/en/latest/tune.html
+.. _`Population Based Training (PBT)`: https://docs.ray.io/en/latest/tune-schedulers.html#population-based-training-pbt
+.. _`Vizier's Median Stopping Rule`: https://docs.ray.io/en/latest/tune-schedulers.html#median-stopping-rule
+.. _`HyperBand/ASHA`: https://docs.ray.io/en/latest/tune-schedulers.html#asynchronous-hyperband
 
 RLlib Quick Start
 -----------------
@@ -176,7 +176,7 @@ RLlib Quick Start
  "num_workers": 4,
  "env_config": {"corridor_length": 5}})
 
-.. _`RLlib`: https://ray.readthedocs.io/en/latest/rllib.html
+.. _`RLlib`: https://docs.ray.io/en/latest/rllib.html
 
 
 More Information
@@ -190,7 +190,7 @@ More Information
 - `RLlib paper`_
 - `Tune paper`_
 
-.. _`Documentation`: http:https://ray.readthedocs.io/en/latest/index.html
+.. _`Documentation`: http:https://docs.ray.io/en/latest/index.html
 .. _`Tutorial`: https://github.com/ray-project/tutorial
 .. _`Blog`: https://ray-project.github.io/
 .. _`Ray paper`: https://arxiv.org/abs/1712.05889

deploy/ray-operator/README.md

@@ -1,6 +1,6 @@
 # Ray Kubernetes Operator (experimental)
 
-NOTE: The operator is still under active development and not yet recommended for production deployments. Please see [the documentation](https://ray.readthedocs.io/en/latest/deploy-on-kubernetes.html#deploying-on-kubernetes) for current best practices.
+NOTE: The operator is still under active development and not yet recommended for production deployments. Please see [the documentation](https://docs.ray.io/en/latest/deploy-on-kubernetes.html#deploying-on-kubernetes) for current best practices.
 
 This directory contains the source code for a Ray operator for Kubernetes.
 
@@ -19,14 +19,14 @@ Some of the main features of the operator are:
 > │ ├── groupversion_info.go // contains common metadata about the group-version
 > │ ├── raycluster_types.go // RayCluster field definitions, user should focus
 > │ └── zz_generated.deepcopy.go // contains the autogenerated implementation of the aforementioned runtime.Object interface, which marks all of our root types as representing Kinds.
-> │ 
+> │
 > │── config // contains Kustomize YAML definitions required to launch our controller on a cluster,hold our CustomResourceDefinitions, RBAC configuration, and WebhookConfigurations.
-> │ ├── certmanager 
+> │ ├── certmanager
 > │ │ ├── certificate.yaml // The following manifests contain a self-signed issuer CR and a certificate CR.
 > │ │ ├── kustomization.yaml
 > │ │ └── kustomizeconfig.yaml
 > │ │
-> │ ├── crd 
+> │ ├── crd
 > │ │ └── bases
 > │ │ │ └── ray.io_rayclusters.yaml // RayCluster CRD yaml file
 > │ │ └── patches
@@ -45,7 +45,7 @@ Some of the main features of the operator are:
 > │ │ ├── kustomization.yaml
 > │ │ └── manager.yaml // manager yaml to create controller deployment, user should focus
 > │ │
-> │ ├── prometheus 
+> │ ├── prometheus
 > │ │ ├── kustomization.yaml
 > │ │ └── monitor.yaml // Prometheus Monitor Service, user should focus
 > │ │
@@ -103,7 +103,7 @@ go test ./...
 
 You can also build the operator using Bazel:
 
-```generate BUILD.bazel 
+```generate BUILD.bazel
 bazel run //:gazelle
 ```
 
@@ -160,7 +160,7 @@ $ kubectl delete deployment ray-operator-controller-manager -n ray-operator-syst
 
 ### Running an example cluster
 
-There are three example config files to deploy RayClusters included here: 
+There are three example config files to deploy RayClusters included here:
 
 Sample | Description
 ------------- | -------------

doc/examples/cython/ray-project/project.yaml

@@ -4,7 +4,7 @@ name: ray-example-cython
 
 description: "Example of how to use Cython with ray"
 tags: ["ray-example", "cython"]
-documentation: https://ray.readthedocs.io/en/latest/advanced.html#cython-code-in-ray
+documentation: https://docs.ray.io/en/latest/advanced.html#cython-code-in-ray
 
 cluster:
  config: ray-project/cluster.yaml

doc/examples/lbfgs/ray-project/project.yaml

@@ -4,7 +4,7 @@ name: ray-example-lbfgs
 
 description: "Parallelizing the L-BFGS algorithm in ray"
 tags: ["ray-example", "optimization", "lbfgs"]
-documentation: https://ray.readthedocs.io/en/latest/auto_examples/plot_lbfgs.html
+documentation: https://docs.ray.io/en/latest/auto_examples/plot_lbfgs.html
 
 cluster:
  config: ray-project/cluster.yaml

doc/examples/newsreader/ray-project/project.yaml

@@ -4,7 +4,7 @@ name: ray-example-newsreader
 
 description: "A simple news reader example that uses ray actors to serve requests"
 tags: ["ray-example", "flask", "rss", "newsreader"]
-documentation: https://ray.readthedocs.io/en/latest/auto_examples/plot_newsreader.html
+documentation: https://docs.ray.io/en/latest/auto_examples/plot_newsreader.html
 
 cluster:
  config: ray-project/cluster.yaml

doc/examples/plot_example-a3c.rst

@@ -13,7 +13,7 @@ View the `code for this example`_.
 
 .. note::
 
- For an overview of Ray's reinforcement learning library, see `RLlib <http:https://ray.readthedocs.io/en/latest/rllib.html>`__.
+ For an overview of Ray's reinforcement learning library, see `RLlib <http:https://docs.ray.io/en/latest/rllib.html>`__.
 
 To run the application, first install **ray** and then some dependencies:
 

doc/examples/plot_hyperparameter.py

@@ -16,7 +16,7 @@
  hyperparameter tuning, use `Tune`_, a scalable hyperparameter
  tuning library built using Ray's Actor API.
 
-.. _`Tune`: https://ray.readthedocs.io/en/latest/tune.html
+.. _`Tune`: https://docs.ray.io/en/latest/tune.html
 
 Setup: Dependencies
 -------------------

doc/examples/plot_streaming.rst

@@ -87,7 +87,7 @@ the top 10 words in these articles together with their word count:
 Note that this examples uses `distributed actor handles`_, which are still
 considered experimental.
 
-.. _`distributed actor handles`: http:https://ray.readthedocs.io/en/latest/actors.html
+.. _`distributed actor handles`: http:https://docs.ray.io/en/latest/actors.html
 
 There is a ``Mapper`` actor, which has a method ``get_range`` used to retrieve
 word counts for words in a certain range:

doc/site/_posts/2017-05-17-announcing-ray.markdown

@@ -8,7 +8,7 @@ date: 2017-05-20 14:00:00
 This post announces Ray, a framework for efficiently running Python code on
 clusters and large multi-core machines. The project is open source.
 You can check out [the code](https://github.com/ray-project/ray) and
-[the documentation](http:https://ray.readthedocs.io/en/latest/?badge=latest).
+[the documentation](http:https://docs.ray.io/en/latest/?badge=latest).
 
 Many AI algorithms are computationally intensive and exhibit complex
 communication patterns. As a result, many researchers spend most of their

doc/site/_posts/2017-09-30-ray-0.2-release.markdown

@@ -134,12 +134,12 @@ state of the actor. We are working on improving the speed of recovery by
 enabling actor state to be restored from checkpoints. See [an overview of fault
 tolerance in Ray][4].
 
-[1]: http:https://ray.readthedocs.io/en/latest/plasma-object-store.html
-[2]: http:https://ray.readthedocs.io/en/latest/webui.html
-[3]: http:https://ray.readthedocs.io/en/latest/rllib.html
-[4]: http:https://ray.readthedocs.io/en/latest/fault-tolerance.html
+[1]: http:https://docs.ray.io/en/latest/plasma-object-store.html
+[2]: http:https://docs.ray.io/en/latest/webui.html
+[3]: http:https://docs.ray.io/en/latest/rllib.html
+[4]: http:https://docs.ray.io/en/latest/fault-tolerance.html
 [5]: https://github.com/apache/arrow
-[6]: http:https://ray.readthedocs.io/en/latest/example-a3c.html
+[6]: http:https://docs.ray.io/en/latest/example-a3c.html
 [7]: https://github.com/openai/baselines
 [8]: https://github.com/ray-project/ray/blob/b020e6bf1fb00d0745371d8674146d4a5b75d9f0/python/ray/rllib/test/tuned_examples.sh#L11
 [9]: https://arrow.apache.org/docs/python/ipc.html#arbitrary-object-serialization

doc/site/_posts/2017-10-15-fast-python-serialization-with-ray-and-arrow.markdown

@@ -271,7 +271,7 @@ for i in range(len(test_objects)):
  plot(*benchmark_object(test_objects[i]), titles[i], i)
 ```
 
-[1]: http:https://ray.readthedocs.io/en/latest/index.html
+[1]: http:https://docs.ray.io/en/latest/index.html
 [2]: https://arrow.apache.org/
 [3]: https://en.wikipedia.org/wiki/Serialization
 [4]: https://github.com/cloudpipe/cloudpickle/

doc/site/_posts/2017-11-30-ray-0.3-release.markdown

@@ -134,14 +134,14 @@ This feature is still considered experimental, but we've already found
 distributed actor handles useful for implementing [**parameter server**][10] and
 [**streaming MapReduce**][11] applications.
 
-[1]: http:https://ray.readthedocs.io/en/latest/actors.html#passing-around-actor-handles-experimental
-[2]: http:https://ray.readthedocs.io/en/latest/tune.html
-[3]: http:https://ray.readthedocs.io/en/latest/rllib.html
+[1]: http:https://docs.ray.io/en/latest/actors.html#passing-around-actor-handles-experimental
+[2]: http:https://docs.ray.io/en/latest/tune.html
+[3]: http:https://docs.ray.io/en/latest/rllib.html
 [4]: https://research.google.com/pubs/pub46180.html
 [5]: https://arxiv.org/abs/1603.06560
 [6]: https://www.tensorflow.org/get_started/summaries_and_tensorboard
 [7]: https://media.readthedocs.org/pdf/rllab/latest/rllab.pdf
 [8]: https://en.wikipedia.org/wiki/Parallel_coordinates
 [9]: https://github.com/ray-project/ray/tree/master/python/ray/tune
-[10]: http:https://ray.readthedocs.io/en/latest/example-parameter-server.html
-[11]: http:https://ray.readthedocs.io/en/latest/example-streaming.html
+[10]: http:https://docs.ray.io/en/latest/example-parameter-server.html
+[11]: http:https://docs.ray.io/en/latest/example-streaming.html

doc/site/_posts/2018-03-27-ray-0.4-release.markdown

@@ -78,10 +78,10 @@ Training][9].
 
 [1]: https://github.com/ray-project/ray
 [2]: https://rise.cs.berkeley.edu/blog/pandas-on-ray/
-[3]: http:https://ray.readthedocs.io/en/latest/rllib.html
-[4]: http:https://ray.readthedocs.io/en/latest/tune.html
+[3]: http:https://docs.ray.io/en/latest/rllib.html
+[4]: http:https://docs.ray.io/en/latest/tune.html
 [5]: https://rise.cs.berkeley.edu/blog/distributed-policy-optimizers-for-scalable-and-reproducible-deep-rl/
-[6]: http:https://ray.readthedocs.io/en/latest/resources.html
+[6]: http:https://docs.ray.io/en/latest/resources.html
 [7]: https://pandas.pydata.org/
 [8]: https://arxiv.org/abs/1803.00933
-[9]: http:https://ray.readthedocs.io/en/latest/pbt.html
+[9]: http:https://docs.ray.io/en/latest/pbt.html

doc/site/_posts/2018-07-06-ray-0.5-release.markdown

@@ -76,8 +76,8 @@ Ray now supports Java thanks to contributions from [Ant Financial][4]:
 
 
 [1]: https://github.com/ray-project/ray
-[2]: http:https://ray.readthedocs.io/en/latest/rllib.html
-[3]: http:https://ray.readthedocs.io/en/latest/tune.html
+[2]: http:https://docs.ray.io/en/latest/rllib.html
+[3]: http:https://docs.ray.io/en/latest/tune.html
 [4]: https://www.antfin.com/
 [5]: https://github.com/modin-project/modin
-[6]: http:https://ray.readthedocs.io/en/latest/autoscaling.html
+[6]: http:https://docs.ray.io/en/latest/autoscaling.html

doc/site/_posts/2018-07-15-parameter-server-in-fifteen-lines.markdown

@@ -321,12 +321,12 @@ Questions should be directed to *[email protected]*.
 
 
 [1]: https://github.com/ray-project/ray
-[2]: http:https://ray.readthedocs.io/en/latest/resources.html
+[2]: http:https://docs.ray.io/en/latest/resources.html
 [3]: http:https://www.sysml.cc/doc/206.pdf
-[4]: http:https://ray.readthedocs.io/en/latest/rllib.html
-[5]: http:https://ray.readthedocs.io/en/latest/tune.html
-[6]: http:https://ray.readthedocs.io/en/latest
-[7]: http:https://ray.readthedocs.io/en/latest/api.html
+[4]: http:https://docs.ray.io/en/latest/rllib.html
+[5]: http:https://docs.ray.io/en/latest/tune.html
+[6]: http:https://docs.ray.io/en/latest
+[7]: http:https://docs.ray.io/en/latest/api.html
 [8]: https://github.com/modin-project/modin
 [9]: https://ray-project.github.io/2017/10/15/fast-python-serialization-with-ray-and-arrow.html
 [10]: https://ray-project.github.io/2017/08/08/plasma-in-memory-object-store.html

doc/site/get_ray.html

@@ -25,7 +25,7 @@ <h1>Getting Started with Ray</h1>
 </p>
 <ul>
  <li>Ray Project <a href="https://ray.io">web site</a></li>
- <li><a href="https://ray.readthedocs.io/en/latest/">Documentation</a></li>
+ <li><a href="https://docs.ray.io/en/latest/">Documentation</a></li>
  <li><a href="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/ray-project/">GitHub project</a></li>
  <li><a href="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/ray-project/tutorial">Tutorials</a></li>
 </ul>

doc/site/index.html

@@ -33,6 +33,6 @@
 </ul>
 
 <p>
- To get started, visit the Ray Project <a href="https://ray.io">web site</a>, <a href="https://ray.readthedocs.io/en/latest/">documentation</a>, <a href="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/ray-project/">GitHub project</a>, or <a href="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/ray-project/tutorial">Tutorials</a>. 
+ To get started, visit the Ray Project <a href="https://ray.io">web site</a>, <a href="https://docs.ray.io/en/latest/">documentation</a>, <a href="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/ray-project/">GitHub project</a>, or <a href="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/ray-project/tutorial">Tutorials</a>.
 </p>
 </div>

doc/source/development.rst

@@ -329,6 +329,6 @@ components like the following:
 
 
 .. _`issues`: https://github.com/ray-project/ray/issues
-.. _`Temporary Files`: http:https://ray.readthedocs.io/en/latest/tempfile.html
+.. _`Temporary Files`: http:https://docs.ray.io/en/latest/tempfile.html
 .. _`PR template`: https://github.com/ray-project/ray/blob/master/.github/PULL_REQUEST_TEMPLATE.md
 .. _`Travis CI`: https://github.com/ray-project/ray/tree/master/ci/travis

doc/source/rllib-dev.rst

@@ -4,7 +4,7 @@ Contributing to RLlib
 Development Install
 -------------------
 
-You can develop RLlib locally without needing to compile Ray by using the `setup-dev.py <https://github.com/ray-project/ray/blob/master/python/ray/setup-dev.py>`__ script. This sets up links between the ``rllib`` dir in your git repo and the one bundled with the ``ray`` package. However if you have installed ray from source using [these instructions](https://ray.readthedocs.io/en/latest/installation.html) then do not this as these steps should have already created this symlink. When using this script, make sure that your git branch is in sync with the installed Ray binaries (i.e., you are up-to-date on `master <https://github.com/ray-project/ray>`__ and have the latest `wheel <https://ray.readthedocs.io/en/latest/installation.html>`__ installed.)
+You can develop RLlib locally without needing to compile Ray by using the `setup-dev.py <https://github.com/ray-project/ray/blob/master/python/ray/setup-dev.py>`__ script. This sets up links between the ``rllib`` dir in your git repo and the one bundled with the ``ray`` package. However if you have installed ray from source using [these instructions](https://docs.ray.io/en/latest/installation.html) then do not this as these steps should have already created this symlink. When using this script, make sure that your git branch is in sync with the installed Ray binaries (i.e., you are up-to-date on `master <https://github.com/ray-project/ray>`__ and have the latest `wheel <https://docs.ray.io/en/latest/installation.html>`__ installed.)
 
 API Stability
 -------------

doc/source/troubleshooting.rst

@@ -105,7 +105,7 @@ on what Ray functionalities we use, let us see what cProfile's output might look
 like if our example involved Actors (for an introduction to Ray actors, see our
 `Actor documentation here`_).
 
-.. _`Actor documentation here`: http:https://ray.readthedocs.io/en/latest/actors.html
+.. _`Actor documentation here`: http:https://docs.ray.io/en/latest/actors.html
 
 Now, instead of looping over five calls to a remote function like in ``ex1``,
 let's create a new example and loop over five calls to a remote function

doc/source/using-ray-on-a-cluster.rst

@@ -19,7 +19,7 @@ This section assumes that you have a cluster running and that the nodes in the
 cluster can communicate with each other. It also assumes that Ray is installed
 on each machine. To install Ray, follow the `installation instructions`_.
 
-.. _`installation instructions`: http:https://ray.readthedocs.io/en/latest/installation.html
+.. _`installation instructions`: http:https://docs.ray.io/en/latest/installation.html
 
 Starting Ray on each machine
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~

python/asv.conf.json

@@ -7,7 +7,7 @@
  "project": "ray",
 
  // The project's homepage
- "project_url": "http:https://ray.readthedocs.io/en/latest/index.html",
+ "project_url": "http:https://docs.ray.io/en/latest/index.html",
 
  // The URL or local path of the source code repository for the
  // project being benchmarked

python/ray/exceptions.py

@@ -142,7 +142,7 @@ def __str__(self):
  "You can also try setting an option to fallback to LRU eviction "
  "when the object store is full by calling "
  "ray.init(lru_evict=True). See also: "
- "https://ray.readthedocs.io/en/latest/memory-management.html.")
+ "https://docs.ray.io/en/latest/memory-management.html.")
 
 
 class UnreconstructableError(RayError):
@@ -167,7 +167,7 @@ def __str__(self):
  "or setting object store limits with "
  "ray.remote(object_store_memory=<bytes>). See also: {}".format(
  self.object_id.hex(),
- "https://ray.readthedocs.io/en/latest/memory-management.html"))
+ "https://docs.ray.io/en/latest/memory-management.html"))
 
 
 class RayTimeoutError(RayError):

python/ray/setup-dev.py

@@ -52,7 +52,7 @@ def do_link(package, force=False, local_path=""):
  print("Created links.\n\nIf you run into issues initializing Ray, please "
  "ensure that your local repo and the installed Ray are in sync "
  "(pip install -U the latest wheels at "
- "https://ray.readthedocs.io/en/latest/installation.html, "
+ "https://docs.ray.io/en/latest/installation.html, "
  "and ensure you are up-to-date on the master branch on git).\n\n"
  "Note that you may need to delete the package symlinks when pip "
  "installing new Ray versions to prevent pip from overwriting files "

python/ray/tune/README.rst

@@ -3,7 +3,7 @@ Tune: Scalable Hyperparameter Tuning
 
 Tune is a scalable framework for hyperparameter search with a focus on deep learning and deep reinforcement learning.
 
-User documentation can be `found here <http:https://ray.readthedocs.io/en/latest/tune.html>`__.
+User documentation can be `found here <http:https://docs.ray.io/en/latest/tune.html>`__.
 
 
 Tutorial