Bump version from 0.8.0.dev6 -> 0.9.0.dev (#6508)

ci/long_running_tests/ray-project/project.yaml

@@ -16,7 +16,7 @@ commands:
     params:
       - name: wheel
         help: "URL to the ray wheel to test (defaults to latest)."
-        default: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp36-cp36m-manylinux1_x86_64.whl
+        default: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp36-cp36m-manylinux1_x86_64.whl
       - name: workload
         help: "Name of the workload to run."
         choices: ["actor_deaths", "apex", "impala", "many_actor_tasks", "many_drivers", "many_tasks", "node_failures", "pbt"]

ci/travis/build-autoscaler-images.sh

@@ -13,7 +13,7 @@ if [[ "$TRAVIS" == "true" && "$TRAVIS_PULL_REQUEST" == "false" ]]; then
 
     docker build -q -t rayproject/base-deps docker/base-deps
 
-    wheel="ray-0.8.0.dev7-cp36-cp36m-manylinux1_x86_64.whl"
+    wheel="ray-0.9.0.dev-cp36-cp36m-manylinux1_x86_64.whl"
     commit_sha=$(echo $TRAVIS_COMMIT | head -c 6)
     cp -r $ROOT_DIR/.whl $ROOT_DIR/docker/autoscaler/.whl
 

doc/dev/RELEASE_PROCESS.rst

@@ -14,23 +14,15 @@ This document describes the process for creating new releases.
    python/ray/__init__.py and src/ray/raylet/main.cc. See this
    `sample commit for bumping the release branch version`_.
 
-3. **Update the master branch version:** Create a pull request to
+3. **Update the master branch version:**
+
+   For a new minor release (e.g., 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.
 
-   This should be merged soon after cutting the release branch (step 1) to
-   closely track the development version.
-
-   For a new micro release (e.g., 0.7.1): Increment the ``dev`` number, such that the
-   number after ``dev`` equals the micro version. For example, if the version
-   of the new release is 0.7.1, the master branch needs to be updated to
-   0.8.0.dev1.
-
-   For a new minor release (e.g., 0.7.0): Increment the minor version and append
-   ``.dev0`` to the version. For example, if the new release is 0.7.0,
-   the master branch should be updated to 0.8.0.dev0.
+   For a new micro release (e.g., 0.7.1): No action is required.
 
 4. **Testing:** Before releasing, the following sets of tests should be run. The results
    of each of these tests for previous releases are checked in under ``doc/dev/release_tests``,

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

@@ -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-0.8.0.dev7-cp36-cp36m-manylinux1_x86_64.whl
+  - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp36-cp36m-manylinux1_x86_64.whl
 
 # How Ray will authenticate with newly launched nodes.
 auth:

doc/source/installation.rst

@@ -34,14 +34,14 @@ master branch). To install these wheels, run the following command:
 ===================  ===================
 
 
-.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp37-cp37m-manylinux1_x86_64.whl
-.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp36-cp36m-manylinux1_x86_64.whl
-.. _`Linux Python 3.5`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp35-cp35m-manylinux1_x86_64.whl
-.. _`Linux Python 2.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp27-cp27mu-manylinux1_x86_64.whl
-.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp37-cp37m-macosx_10_6_intel.whl
-.. _`MacOS Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp36-cp36m-macosx_10_6_intel.whl
-.. _`MacOS Python 3.5`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp35-cp35m-macosx_10_6_intel.whl
-.. _`MacOS Python 2.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp27-cp27m-macosx_10_6_intel.whl
+.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp37-cp37m-manylinux1_x86_64.whl
+.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp36-cp36m-manylinux1_x86_64.whl
+.. _`Linux Python 3.5`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp35-cp35m-manylinux1_x86_64.whl
+.. _`Linux Python 2.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp27-cp27mu-manylinux1_x86_64.whl
+.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp37-cp37m-macosx_10_6_intel.whl
+.. _`MacOS Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp36-cp36m-macosx_10_6_intel.whl
+.. _`MacOS Python 3.5`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp35-cp35m-macosx_10_6_intel.whl
+.. _`MacOS Python 2.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp27-cp27m-macosx_10_6_intel.whl
 
 Installing Ray with Anaconda
 ----------------------------

docker/stress_test/Dockerfile

@@ -4,7 +4,7 @@ FROM ray-project/base-deps
 
 # We install ray and boto3 to enable the ray autoscaler as
 # a test runner.
-RUN pip install -U https://ray-wheels.s3-us-west-2.amazonaws.com/latest/ray-0.8.0.dev5-cp36-cp36m-manylinux1_x86_64.whl boto3
+RUN pip install -U https://ray-wheels.s3-us-west-2.amazonaws.com/latest/ray-0.9.0.dev-cp36-cp36m-manylinux1_x86_64.whl boto3
 RUN mkdir -p /root/.ssh/
 
 # We port the source code in so that we run the most up-to-date stress tests.

docker/tune_test/Dockerfile

@@ -6,7 +6,7 @@ FROM ray-project/base-deps
 # a test runner.
 RUN conda install -y numpy
 RUN pip install -U pip
-RUN pip install -U https://ray-wheels.s3-us-west-2.amazonaws.com/latest/ray-0.8.0.dev7-cp36-cp36m-manylinux1_x86_64.whl || pip install -U https://ray-wheels.s3-us-west-2.amazonaws.com/latest/ray-0.8.0.dev6-cp36-cp36m-manylinux1_x86_64.whl
+RUN pip install -U https://ray-wheels.s3-us-west-2.amazonaws.com/latest/ray-0.9.0.dev-cp36-cp36m-manylinux1_x86_64.whl
 RUN pip install -U boto3
 # We install this after the latest wheels -- this should not override the latest wheels.
 # Needed to run Tune example with a 'plot' call - which does not actually render a plot, but throws an error.

python/ray/__init__.py

@@ -132,7 +132,7 @@ from ray.actor import method  # noqa: E402
 from ray.runtime_context import _get_runtime_context  # noqa: E402
 
 # Ray version string.
-__version__ = "0.8.0.dev7"
+__version__ = "0.9.0.dev"
 
 __all__ = [
     "global_state",

python/ray/autoscaler/aws/example-full.yaml

@@ -116,9 +116,9 @@ 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-0.8.0.dev7-cp27-cp27mu-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp35-cp35m-manylinux1_x86_64.whl
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp27-cp27mu-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp35-cp35m-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp36-cp36m-manylinux1_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

python/ray/autoscaler/aws/example-gpu-docker.yaml

@@ -105,9 +105,9 @@ file_mounts: {
 
 # List of shell commands to run to set up nodes.
 setup_commands:
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp27-cp27mu-manylinux1_x86_64.whl
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp35-cp35m-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp27-cp27mu-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp35-cp35m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp36-cp36m-manylinux1_x86_64.whl
 
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:

python/ray/autoscaler/gcp/example-full.yaml

@@ -130,9 +130,9 @@ 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-0.8.0.dev7-cp27-cp27mu-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp35-cp35m-manylinux1_x86_64.whl
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp27-cp27mu-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp35-cp35m-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp36-cp36m-manylinux1_x86_64.whl
 
 
 # Custom commands that will be run on the head node after common setup.

python/ray/autoscaler/gcp/example-gpu-docker.yaml

@@ -140,9 +140,9 @@ setup_commands:
     # - echo 'export PATH="$HOME/anaconda3/envs/tensorflow_p36/bin:$PATH"' >> ~/.bashrc
 
     # Install ray
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp27-cp27mu-manylinux1_x86_64.whl
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp35-cp35m-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp27-cp27mu-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp35-cp35m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp36-cp36m-manylinux1_x86_64.whl
 
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:

python/ray/experimental/sgd/examples/example-sgd.yaml

@@ -47,7 +47,7 @@ worker_nodes:
     #         MarketType: spot
 
 setup_commands:
-    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev7-cp36-cp36m-manylinux1_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp36-cp36m-manylinux1_x86_64.whl
     - pip install -U ipdb ray[rllib] torch torchvision
 
 

python/ray/experimental/sgd/examples/tf-example-sgd.yaml

@@ -48,7 +48,7 @@ worker_nodes:
 
 setup_commands:
     - conda install setuptools=41.0.1=py36_0 wrapt=1.11.2 --yes # workaround to fix wrapt error
-    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev3-cp36-cp36m-manylinux1_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev-cp36-cp36m-manylinux1_x86_64.whl
     - pip install -U ipdb ray[rllib]
     - pip install tensorflow==2.0.0-rc0
 

src/ray/raylet/main.cc

@@ -65,7 +65,7 @@ int main(int argc, char *argv[]) {
   // Initialize stats.
   const ray::stats::TagsType global_tags = {
       {ray::stats::JobNameKey, "raylet"},
-      {ray::stats::VersionKey, "0.8.0.dev7"},
+      {ray::stats::VersionKey, "0.9.0.dev"},
       {ray::stats::NodeAddressKey, node_ip_address}};
   ray::stats::Init(stat_address, global_tags, disable_stats, enable_stdout_exporter);