less important (#8439)

doc/examples/plot_hyperparameter.py

@@ -12,7 +12,7 @@ their results to be ready.
 .. image:: ../images/hyperparameter.png
     :align: center
 
-.. important:: For a production-grade implementation of distributed
+.. tip:: For a production-grade implementation of distributed
     hyperparameter tuning, use `Tune`_, a scalable hyperparameter
     tuning library built using Ray's Actor API.
 

doc/source/actors.rst

@@ -89,7 +89,7 @@ If you want to use custom resources, make sure your cluster is configured to
 have these resources (see `configuration instructions
 <configure.html#cluster-resources>`__):
 
-.. important::
+.. note::
 
   * If you specify resource requirements in an actor class's remote decorator,
     then the actor will acquire those resources for its entire lifetime (if you

doc/source/index.rst

@@ -25,7 +25,7 @@ Star us on `on GitHub`_. You can also get started by visiting our `Tutorials <ht
 .. _`on GitHub`: https://github.com/ray-project/ray
 .. _`RaySGD`: raysgd/raysgd.html
 
-.. important:: Join our `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray!
+.. tip:: Join our `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray!
 
 
 Quick Start

doc/source/installation.rst

@@ -1,7 +1,7 @@
 Installing Ray
 ==============
 
-.. important:: Join our `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray!
+.. tip:: Join our `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray!
 
 Ray currently supports MacOS and Linux. Windows support is planned for the future.
 

doc/source/raysgd/raysgd.rst

@@ -11,7 +11,7 @@ The main features are:
   - **Composability**: RaySGD is built on top of the Ray Actor API, enabling seamless integration with existing Ray applications such as RLlib, Tune, and Ray.Serve.
   - **Scale up and down**: Start on single CPU. Scale up to multi-node, multi-CPU, or multi-GPU clusters by changing 2 lines of code.
 
-.. important:: Join our `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray!
+.. tip:: Join our `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray!
 
 
 Getting Started

doc/source/rllib.rst

@@ -7,7 +7,7 @@ RLlib is an open-source library for reinforcement learning that offers both high
 
 To get started, take a look over the `custom env example <https://github.com/ray-project/ray/blob/master/rllib/examples/custom_env.py>`__ and the `API documentation <rllib-toc.html>`__. If you're looking to develop custom algorithms with RLlib, also check out `concepts and custom algorithms <rllib-concepts.html>`__.
 
-.. important:: Join our `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray/RLlib!
+.. tip:: Join our `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray/RLlib!
 
 RLlib in 60 seconds
 -------------------

doc/source/tune/_tutorials/tune-tutorial.rst

@@ -66,7 +66,7 @@ We can then plot the performance of this trial.
    :start-after: __plot_begin__
    :end-before: __plot_end__
 
-.. important:: Tune will automatically run parallel trials across all available cores/GPUs on your machine or cluster. To limit the number of cores that Tune uses, you can call ``ray.init(num_cpus=<int>, num_gpus=<int>)`` before ``tune.run``.
+.. note:: Tune will automatically run parallel trials across all available cores/GPUs on your machine or cluster. To limit the number of cores that Tune uses, you can call ``ray.init(num_cpus=<int>, num_gpus=<int>)`` before ``tune.run``.
 
 
 Early Stopping with ASHA

doc/source/walkthrough.rst

@@ -191,7 +191,7 @@ Object IDs can be created in multiple ways.
 .. autofunction:: ray.put
     :noindex:
 
-.. important::
+.. note::
 
     Remote objects are immutable. That is, their values cannot be changed after
     creation. This allows remote objects to be replicated in multiple object