Bump dev branch to 2.0 to avoid endless version bump toil (#13497)

* wip * fix * fix
2026-06-27 17:49:47 +08:00 · 2021-01-15 17:41:17 -08:00
parent 68e3a0e0e1
commit ee6332dbb0
33 changed files with 53 additions and 78 deletions
@@ -7,7 +7,7 @@ set -x

 GPU=""
 BASE_IMAGE="ubuntu:focal"
-WHEEL_URL="https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl"
+WHEEL_URL="https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl"
 PYTHON_VERSION=""

 while [[ $# -gt 0 ]]
@@ -24,7 +24,7 @@ setup_commands:
  - echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> ~/.bashrc
  - sudo apt -y update
  - sudo apt -y install npm
-  - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+  - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl

 # How Ray will authenticate with newly launched nodes.
 auth:
@@ -23,7 +23,7 @@ RLlib, Tune, Autoscaler, and most Python files do not require you to build and c

 .. code-block:: shell

-    pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp38-cp38-manylinux2014_x86_64.whl
+    pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp38-cp38-manylinux2014_x86_64.whl

 2. Fork and clone the project to your machine. Connect your repository to the upstream (main project) ray repository.

@@ -54,17 +54,17 @@ instead of the ones above:
 `Linux Python 3.6`_  `MacOS Python 3.6`_  `Windows Python 3.6`_
 ===================  ===================  ======================

-.. _`Linux Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp38-cp38-manylinux2014_x86_64.whl
-.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
-.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+.. _`Linux Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp38-cp38-manylinux2014_x86_64.whl
+.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl

-.. _`MacOS Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp38-cp38-macosx_10_13_x86_64.whl
-.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-macosx_10_13_intel.whl
-.. _`MacOS Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-macosx_10_13_intel.whl
+.. _`MacOS Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp38-cp38-macosx_10_13_x86_64.whl
+.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-macosx_10_13_intel.whl
+.. _`MacOS Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-macosx_10_13_intel.whl

-.. _`Windows Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp38-cp38-win_amd64.whl
-.. _`Windows Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-win_amd64.whl
-.. _`Windows Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-win_amd64.whl
+.. _`Windows Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp38-cp38-win_amd64.whl
+.. _`Windows Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-win_amd64.whl
+.. _`Windows Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-win_amd64.whl


 Installing from a specific commit
@@ -76,11 +76,11 @@ You can install the Ray wheels of any particular commit on ``master`` with the f

    pip install https://ray-wheels.s3-us-west-2.amazonaws.com/master/{COMMIT_HASH}/ray-{RAY_VERSION}-{PYTHON_VERSION}-{PYTHON_VERSION}m-{OS_VERSION}_intel.whl

-For example, here are the Ray 1.2.0.dev0 wheels for Python 3.5, MacOS for commit ``a0ba4499ac645c9d3e82e68f3a281e48ad57f873``:
+For example, here are the Ray 2.0.0.dev0 wheels for Python 3.5, MacOS for commit ``a0ba4499ac645c9d3e82e68f3a281e48ad57f873``:

 .. code-block:: bash

-    pip install https://ray-wheels.s3-us-west-2.amazonaws.com/master/a0ba4499ac645c9d3e82e68f3a281e48ad57f873/ray-1.2.0.dev0-cp35-cp35m-macosx_10_13_intel.whl
+    pip install https://ray-wheels.s3-us-west-2.amazonaws.com/master/a0ba4499ac645c9d3e82e68f3a281e48ad57f873/ray-2.0.0.dev0-cp35-cp35m-macosx_10_13_intel.whl

 .. _ray-install-java:

@@ -92,7 +92,7 @@ from ray import util  # noqa: E402

 # Replaced with the current commit when building the wheels.
 __commit__ = "{{RAY_COMMIT_SHA}}"
-__version__ = "1.2.0.dev0"
+__version__ = "2.0.0.dev0"

 __all__ = [
    "__version__",
@@ -112,7 +112,7 @@ setup_commands:
    # has your Ray repo pre-cloned. Then, you can replace the pip installs
    # below with a git checkout <your_sha> (and possibly a recompile).
    - echo 'export PATH="$HOME/anaconda3/envs/tensorflow_p36/bin:$PATH"' >> ~/.bashrc
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
    # Consider uncommenting these if you also want to run apt-get commands during setup
    # - sudo pkill -9 apt-get || true
    # - sudo pkill -9 dpkg || true
@@ -129,7 +129,7 @@ setup_commands: []
    # has your Ray repo pre-cloned. Then, you can replace the pip installs
    # below with a git checkout <your_sha> (and possibly a recompile).
    # Uncomment the following line if you want to run the nightly version of ray (as opposed to the latest)
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl

 # Custom commands that will be run on the head node after common setup.
 head_setup_commands: []
@@ -91,8 +91,8 @@ file_mounts: {
 # List of shell commands to run to set up nodes.
 # NOTE: rayproject/ray:latest has ray latest bundled
 setup_commands: []
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl

 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:
@@ -112,7 +112,7 @@ setup_commands:
    - echo 'eval "$(conda shell.bash hook)"' >> ~/.bashrc
    # - echo 'conda activate py37_pytorch' >> ~/.bashrc
    - echo 'conda activate py37_tensorflow' >> ~/.bashrc
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
    # Consider uncommenting these if you also want to run apt-get commands during setup
    # - sudo pkill -9 apt-get || true
    # - sudo pkill -9 dpkg || true
@@ -129,7 +129,7 @@ setup_commands:
    # Uncomment the following line if you want to run the nightly version of ray (as opposed to the latest)
    - echo 'eval "$(conda shell.bash hook)"' >> ~/.bashrc
    - echo 'conda activate py37_tensorflow' >> ~/.bashrc
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl

 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:
@@ -68,7 +68,7 @@ file_mounts: {
 # List of shell commands to run to set up nodes.
 # NOTE: rayproject/ray-ml:latest has ray latest bundled
 setup_commands: []
-#     - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+#     - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
 
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:
@@ -98,7 +98,7 @@ setup_commands:
    - echo 'eval "$(conda shell.bash hook)"' >> ~/.bashrc
    # - echo 'conda activate py37_pytorch' >> ~/.bashrc
    - echo 'conda activate py37_tensorflow' >> ~/.bashrc
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
    # Consider uncommenting these if you also want to run apt-get commands during setup
    # - sudo pkill -9 apt-get || true
    # - sudo pkill -9 dpkg || true
@@ -130,7 +130,7 @@ setup_commands:
      && echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> ~/.profile

    # Install ray
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl


 # Custom commands that will be run on the head node after common setup.
@@ -137,7 +137,7 @@ setup_commands: []
    # has your Ray repo pre-cloned. Then, you can replace the pip installs
    # below with a git checkout <your_sha> (and possibly a recompile).
    # Uncomment the following line if you want to run the nightly version of ray (as opposed to the latest)
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl


 # Custom commands that will be run on the head node after common setup.
@@ -120,8 +120,8 @@ initialization_commands:
 # List of shell commands to run to set up nodes.
 # NOTE: rayproject/ray-ml:latest has ray latest bundled
 setup_commands: []
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl

 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:
@@ -94,7 +94,7 @@ setup_commands: []
    # has your Ray repo pre-cloned. Then, you can replace the pip installs
    # below with a git checkout <your_sha> (and possibly a recompile).
    # Uncomment the following line if you want to run the nightly version of ray (as opposed to the latest)
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl

 # Custom commands that will be run on the head node after common setup.
 head_setup_commands: []
@@ -1,14 +1,14 @@
 linux:
-  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp38-cp38-manylinux2014_x86_64.whl
-  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
-  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp38-cp38-manylinux2014_x86_64.whl
+  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl

 darwin:
-  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp38-cp38-macosx_10_13_x86_64.whl
-  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-macosx_10_13_intel.whl
-  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-macosx_10_13_intel.whl
+  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp38-cp38-macosx_10_13_x86_64.whl
+  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-macosx_10_13_intel.whl
+  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-macosx_10_13_intel.whl

 win32:
-  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp38-cp38-win_amd64.whl
-  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-win_amd64.whl
-  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-win_amd64.whl
+  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp38-cp38-win_amd64.whl
+  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-win_amd64.whl
+  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-win_amd64.whl
@@ -48,7 +48,7 @@ worker_nodes:

 setup_commands:
    - conda install setuptools=45.1.0=py36_0 wrapt=1.11.2 --yes # workaround to fix wrapt error
-    - ray &> /dev/null || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - ray &> /dev/null || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
    - pip install -U ray[tune]
    - pip install tensorflow-gpu==2.1.0

@@ -43,7 +43,7 @@ worker_nodes:
        #     MaxPrice: "9.0"

 setup_commands:
-    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
    - pip install -U ipdb ray[rllib] torch torchvision
    # Install apex.
    # - rm -rf apex || true
@@ -62,7 +62,7 @@ worker_nodes:

 setup_commands:
    # This replaces the standard anaconda Ray installation
-    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
    # Uncomment this and the filemount to update the Ray installation with your local Ray code
    # - rm -rf ./anaconda3/lib/python3.6/site-packages/ray/util/sgd/
    # - cp -rf ~/sgd ./anaconda3/lib/python3.6/site-packages/ray/util/
@@ -42,7 +42,7 @@ worker_nodes:

 setup_commands:
    # This replaces the standard anaconda Ray installation
-    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
    # Uncomment this and the filemount to update the Ray installation with your local Ray code
    # - rm -rf ./anaconda3/lib/python3.6/site-packages/ray/util/sgd/
    # - cp -rf ~/sgd ./anaconda3/lib/python3.6/site-packages/ray/util/
@@ -62,7 +62,7 @@ worker_nodes:

 setup_commands:
    # This replaces the standard anaconda Ray installation
-    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
    # Uncomment this and the filemount to update the Ray installation with your local Ray code
    # - rm -rf ./anaconda3/lib/python3.6/site-packages/ray/util/sgd/
    # - cp -rf ~/sgd ./anaconda3/lib/python3.6/site-packages/ray/util/
@@ -47,7 +47,7 @@ worker_nodes:

 setup_commands:
    # This replaces the standard anaconda Ray installation
-    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
    - pip install -q tqdm

    # Installing this without -U to make sure we don't replace the existing Ray installation
@@ -40,32 +40,7 @@ After Branch Cut
   ``python/ray/__init__.py``, ``src/ray/raylet/main.cc``, and any other files that use ``ray::stats::VersionKey``. See this
   `sample commit for bumping the release branch version`_.

-3. **Create PR to update the master branch version:**
-   For a new minor release (e.g., ``0.6.3 -> 0.7.0``): Create a pull request to
-   increment the dev version in of the master branch. See this
-   `sample PR for bumping a minor release version`_. **NOTE:** Not all of
-   the version numbers should be replaced. For example, ``0.7.0`` appears in
-   this file but should not be updated.
-   You will want to replace all instances of nightly wheel links (wheels with
-   dev in their name), instances of ``ray::stats::VersionKey``,
-   and instances of ``__version__``.
-
-   TIP: search the code base for instances of ``https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0`` (but replace ray-1.1.0 with the current version) to find links to the nightly wheel to update.
-
-   You should also cherry pick parts of this pull request referencing the
-   latest wheels onto the release branch prior
-   to making the release. This will ensure that the ``install-nightly`` of
-   the new release correctly points at the latest version on master.
-
-   Note: Doing this will cause the ``install-nightly`` CLI command of the
-   current Ray release to fail, so you should only merge this PR when
-   the release is about to occur. (For instance, the 1.0.0 ``install-nightly``
-   command points to 1.1.0.dev0, so when you bump master to 1.2.0.dev0, it no
-   longer finds the latest commit.)
-
-   For a new micro release (e.g., ``0.7.0 -> 0.7.1``): No action is required.
-
-4. **Create a document to collect release-notes:** You can clone `this document <https://docs.google.com/document/d/1vzcNHulHCrq1PrXWkGBwwtOK53vY2-Ol8SXbnvKPw1s/edit?usp=sharing>`_.
+3. **Create a document to collect release-notes:** You can clone `this document <https://docs.google.com/document/d/1vzcNHulHCrq1PrXWkGBwwtOK53vY2-Ol8SXbnvKPw1s/edit?usp=sharing>`_.

   You will also need to create a spreadsheet with information about the PRs 
   included in the release to jog people's memories. You can collect this
@@ -30,7 +30,7 @@ worker_nodes:

 setup_commands:
  - apt-get install -y libglib2.0-0 libcudnn7=7.6.5.32-1+cuda10.1
-  - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+  - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl

 # Command to start ray on the head node. You don't need to change this.
 head_start_ray_commands:
@@ -25,7 +25,7 @@ head_node:
 # List of shell commands to run to set up nodes.
 setup_commands:
    - apt-get install -y libglib2.0-0 libcudnn7=7.6.5.32-1+cuda10.1
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl

 # Command to start ray on the head node. You don't need to change this.
 head_start_ray_commands:
@@ -33,7 +33,7 @@ file_mounts: {

 setup_commands:
    - apt-get install -y libglib2.0-0 libcudnn7=7.6.5.32-1+cuda10.1
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl

 worker_setup_commands: []

@@ -98,7 +98,7 @@ setup_commands:
    - pip install terminado
    - pip install boto3==1.4.8 cython==0.29.0
    # - cd ray/python; git checkout master; git pull; pip install -e . --verbose
-    - pip install -U pip install https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp38-cp38-manylinux2014_x86_64.whl
+    - pip install -U pip install https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp38-cp38-manylinux2014_x86_64.whl

 # Custom commands that will be run on the head node after common setup.
 head_setup_commands: []
@@ -89,7 +89,7 @@ setup_commands:
    - pip install terminado
    - pip install boto3==1.4.8 cython==0.29.0
    # - cd ray/python; git checkout master; git pull; pip install -e . --verbose
-    - "pip install https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp38-cp38-manylinux2014_x86_64.whl"
+    - "pip install https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp38-cp38-manylinux2014_x86_64.whl"
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands: []

@@ -30,4 +30,4 @@ worker_nodes:
    InstanceType: m5.16xlarge

 setup_commands:
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-2.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
@@ -155,7 +155,7 @@ CoreWorkerProcess::CoreWorkerProcess(const CoreWorkerOptions &options)
  RAY_LOG(DEBUG) << "Stats setup in core worker.";
  // Initialize stats in core worker global tags.
  const ray::stats::TagsType global_tags = {{ray::stats::ComponentKey, "core_worker"},
-                                            {ray::stats::VersionKey, "1.2.0.dev0"}};
+                                            {ray::stats::VersionKey, "2.0.0.dev0"}};

  // NOTE(lingxuan.zlx): We assume RayConfig is initialized before it's used.
  // RayConfig is generated in Java_io_ray_runtime_RayNativeRuntime_nativeInitialize
@@ -61,7 +61,7 @@ int main(int argc, char *argv[]) {
  RayConfig::instance().initialize(config_map);
  const ray::stats::TagsType global_tags = {
      {ray::stats::ComponentKey, "gcs_server"},
-      {ray::stats::VersionKey, "1.2.0.dev0"},
+      {ray::stats::VersionKey, "2.0.0.dev0"},
      {ray::stats::NodeAddressKey, node_ip_address}};
  ray::stats::Init(global_tags, metrics_agent_port);

@@ -262,7 +262,7 @@ int main(int argc, char *argv[]) {
        // Initialize stats.
        const ray::stats::TagsType global_tags = {
            {ray::stats::ComponentKey, "raylet"},
-            {ray::stats::VersionKey, "1.2.0.dev0"},
+            {ray::stats::VersionKey, "2.0.0.dev0"},
            {ray::stats::NodeAddressKey, node_ip_address}};
        ray::stats::Init(global_tags, metrics_agent_port);