Replace all instances of ray.readthedocs.io with ray.io (#7994)

python/asv.conf.json

@@ -7,7 +7,7 @@
     "project": "ray",
 
     // The project's homepage
-    "project_url": "http://ray.readthedocs.io/en/latest/index.html",
+    "project_url": "http://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 @@ class ObjectStoreFullError(RayError):
             "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 @@ class UnreconstructableError(RayError):
             "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 @@ if __name__ == "__main__":
     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://ray.readthedocs.io/en/latest/tune.html>`__.
+User documentation can be `found here <http://docs.ray.io/en/latest/tune.html>`__.
 
 
 Tutorial

python/ray/tune/automlboard/templates/index.html

@@ -40,7 +40,7 @@
                 <a class="nav-link" href="https://github.com/ray-project/ray">Github <span class="sr-only">(current)</span></a>
             </li>
             <li class="nav-item">
-                <a class="nav-link" href="http://ray.readthedocs.io/">Document</a>
+                <a class="nav-link" href="http://docs.ray.io/">Document</a>
             </li>
         </ul>
     </div>

python/ray/tune/automlboard/templates/job.html

@@ -40,7 +40,7 @@
                 <a class="nav-link" href="https://github.com/ray-project/ray">Github</a>
             </li>
             <li class="nav-item">
-                <a class="nav-link" href="http://ray.readthedocs.io/">Document</a>
+                <a class="nav-link" href="http://docs.ray.io/">Document</a>
             </li>
         </ul>
     </div>

python/ray/tune/automlboard/templates/trial.html

@@ -40,7 +40,7 @@
                 <a class="nav-link" href="https://github.com/ray-project/ray">Github</a>
             </li>
             <li class="nav-item">
-                <a class="nav-link" href="http://ray.readthedocs.io/">Document</a>
+                <a class="nav-link" href="http://docs.ray.io/">Document</a>
             </li>
         </ul>
     </div>

python/ray/util/joblib/__init__.py

@@ -9,7 +9,7 @@ def register_ray():
     except ImportError:
         msg = ("To use the ray backend you must install ray."
                "Try running 'pip install ray'."
-               "See https://ray.readthedocs.io/en/latest/installation.html"
+               "See https://docs.ray.io/en/latest/installation.html"
                "for more information.")
         raise ImportError(msg)
 

python/ray/util/joblib/ray_backend.py

@@ -12,7 +12,7 @@ logger = logging.getLogger(__name__)
 
 class RayBackend(MultiprocessingBackend):
     """Ray backend uses ray, a system for scalable distributed computing.
-    More info about Ray is available here: https://ray.readthedocs.io.
+    More info about Ray is available here: https://docs.ray.io.
     """
 
     def configure(self,

python/ray/util/sgd/torch/examples/benchmarks/README.rst

@@ -3,7 +3,7 @@ Running benchmarks
 
 RaySGD provides comparable or better performance than other existing solutions for parallel or distributed training.
 
-You can run ``ray/python/ray/util/sgd/torch/examples/benchmarks/benchmark.py`` for benchmarking the RaySGD TorchTrainer implementation. To benchmark training on a multi-node multi-gpu cluster, you can use the `Ray Autoscaler <https://ray.readthedocs.io/en/latest/autoscaling.html#aws>`_.
+You can run ``ray/python/ray/util/sgd/torch/examples/benchmarks/benchmark.py`` for benchmarking the RaySGD TorchTrainer implementation. To benchmark training on a multi-node multi-gpu cluster, you can use the `Ray Autoscaler <https://docs.ray.io/en/latest/autoscaling.html#aws>`_.
 
 DISCLAIMER: RaySGD does not provide any custom communication primitives. If you see any performance issues, you may need to file them on the PyTorch github repository.