[Release] Bump master to 1.2.0 for 1.1.0 release (#12856)

build-docker.sh

@@ -7,7 +7,7 @@ set -x
 
 GPU=""
 BASE_IMAGE="ubuntu:focal"
-WHEEL_URL="https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl"
+WHEEL_URL="https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl"
 PYTHON_VERSION=""
 
 while [[ $# -gt 0 ]]

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-1.1.0.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-cp36-cp36m-manylinux2014_x86_64.whl
 
 # How Ray will authenticate with newly launched nodes.
 auth:

doc/source/development.rst

@@ -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-1.1.0.dev0-cp38-cp38-manylinux2014_x86_64.whl
+    pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.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.
 

doc/source/installation.rst

@@ -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-1.1.0.dev0-cp38-cp38-manylinux2014_x86_64.whl
-.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
-.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+.. _`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
 
-.. _`MacOS Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp38-cp38-macosx_10_13_x86_64.whl
-.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp37-cp37m-macosx_10_13_intel.whl
-.. _`MacOS Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp36-cp36m-macosx_10_13_intel.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
 
-.. _`Windows Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp38-cp38-win_amd64.whl
-.. _`Windows Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp37-cp37m-win_amd64.whl
-.. _`Windows Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp36-cp36m-win_amd64.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
 
 
 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 1.1.0.dev0 wheels for Python 3.5, MacOS for commit ``a0ba4499ac645c9d3e82e68f3a281e48ad57f873``:
+For example, here are the Ray 1.2.0.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-1.1.0.dev0-cp35-cp35m-macosx_10_13_intel.whl
+    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
 
 .. _ray-install-java:
 

python/ray/__init__.py

@@ -101,7 +101,7 @@ from ray import util  # noqa: E402
 
 # Replaced with the current commit when building the wheels.
 __commit__ = "{{RAY_COMMIT_SHA}}"
-__version__ = "1.1.0.dev0"
+__version__ = "1.2.0.dev0"
 
 __all__ = [
     "__version__",

python/ray/autoscaler/aws/defaults.yaml

@@ -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-1.1.0.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-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

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

@@ -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-1.1.0.dev0-cp37-cp37m-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
 
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands: []

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

@@ -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-1.1.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    # - 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
 
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:

python/ray/autoscaler/azure/defaults.yaml

@@ -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-1.1.0.dev0-cp37-cp37m-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
     # 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/azure/example-full.yaml

@@ -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-1.1.0.dev0-cp37-cp37m-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
 
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:

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

@@ -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-1.1.0.dev0-cp37-cp37m-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
  
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:

python/ray/autoscaler/azure/example-gpu.yaml

@@ -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-1.1.0.dev0-cp37-cp37m-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
     # 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/gcp/defaults.yaml

@@ -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-1.1.0.dev0-cp37-cp37m-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
 
 
 # Custom commands that will be run on the head node after common setup.

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

@@ -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-1.1.0.dev0-cp37-cp37m-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
 
 
 # Custom commands that will be run on the head node after common setup.

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

@@ -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-1.1.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    # - 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
 
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:

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

@@ -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-1.1.0.dev0-cp37-cp37m-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
 
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands: []

python/ray/nightly-wheels.yaml

@@ -1,14 +1,14 @@
 linux:
-  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp38-cp38-manylinux2014_x86_64.whl
-  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
-  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+  "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
 
 darwin:
-  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp38-cp38-macosx_10_13_x86_64.whl
-  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp37-cp37m-macosx_10_13_intel.whl
-  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp36-cp36m-macosx_10_13_intel.whl
+  "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
 
 win32:
-  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp38-cp38-win_amd64.whl
-  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp37-cp37m-win_amd64.whl
-  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp36-cp36m-win_amd64.whl
+  "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

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

@@ -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-1.1.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - ray &> /dev/null || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
     - pip install -U ray[tune]
     - pip install tensorflow-gpu==2.1.0
 

python/ray/util/sgd/torch/examples/example-sgd.yaml

@@ -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-1.1.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - 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
     - pip install -U ipdb ray[rllib] torch torchvision
     # Install apex.
     # - rm -rf apex || true

python/ray/util/sgd/torch/examples/image_models/cluster.yaml

@@ -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-1.1.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - 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
     # 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/

python/ray/util/sgd/torch/examples/segmentation/example.yaml

@@ -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-1.1.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - 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
     # 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/

python/ray/util/sgd/torch/examples/sgd-development.yaml

@@ -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-1.1.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - 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
     # 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/

python/ray/util/sgd/torch/examples/transformers/cluster.yaml

@@ -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-1.1.0.dev0-cp36-cp36m-manylinux2014_x86_64.whl
+    - 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
     - pip install -q tqdm
 
     # Installing this without -U to make sure we don't replace the existing Ray installation

release/long_running_distributed_tests/cluster.yaml

@@ -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-1.1.0.dev0-cp37-cp37m-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
 
 # Command to start ray on the head node. You don't need to change this.
 head_start_ray_commands:

release/rllib_tests/regression_tests/cluster.yaml

@@ -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-1.1.0.dev0-cp37-cp37m-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
 
 # Command to start ray on the head node. You don't need to change this.
 head_start_ray_commands:

release/rllib_tests/stress_tests/cluster.yaml

@@ -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-1.1.0.dev0-cp37-cp37m-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
 
 worker_setup_commands: []
 

release/stress_tests/cluster.yaml

@@ -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-1.1.0.dev0-cp38-cp38-manylinux2014_x86_64.whl"
+    - "pip install https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp38-cp38-manylinux2014_x86_64.whl"
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands: []
 

src/ray/core_worker/core_worker.cc

@@ -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, "1.1.0.dev0"}};
+                                            {ray::stats::VersionKey, "1.2.0.dev0"}};
 
   // NOTE(lingxuan.zlx): We assume RayConfig is initialized before it's used.
   // RayConfig is generated in Java_io_ray_runtime_RayNativeRuntime_nativeInitialize

src/ray/gcs/gcs_server/gcs_server_main.cc

@@ -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, "1.1.0.dev0"},
+      {ray::stats::VersionKey, "1.2.0.dev0"},
       {ray::stats::NodeAddressKey, node_ip_address}};
   ray::stats::Init(global_tags, metrics_agent_port);
 

src/ray/raylet/main.cc

@@ -260,7 +260,7 @@ int main(int argc, char *argv[]) {
         // Initialize stats.
         const ray::stats::TagsType global_tags = {
             {ray::stats::ComponentKey, "raylet"},
-            {ray::stats::VersionKey, "1.1.0.dev0"},
+            {ray::stats::VersionKey, "1.2.0.dev0"},
             {ray::stats::NodeAddressKey, node_ip_address}};
         ray::stats::Init(global_tags, metrics_agent_port);