merge commit bumping latest wheels version.

2026-06-27 19:32:11 +08:00 · 2020-12-15 09:40:26 -08:00
parent f591f6c1c8
commit 5f54fa02ec
27 changed files with 56 additions and 79 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-1.1.0.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 [[ $# -gt 0 ]]
@@ -24,7 +24,7 @@ setup_commands:
  - echo 'export PATH="$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:
@@ -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.

@@ -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:

@@ -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__",
@@ -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
@@ -128,7 +128,7 @@ 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: []
@@ -90,8 +90,8 @@ 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:
@@ -112,7 +112,7 @@ setup_commands:
    - echo 'eval "$(conda shell.bash hook)"' >> ~/.bashrc
    # - echo 'conda activate py37_pytorch' >> ~/.bashrc
    - echo 'conda activate py37_tensorflow' >> ~/.bashrc
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
    # Consider uncommenting these if you also want to run apt-get commands during setup
    # - sudo pkill -9 apt-get || true
    # - sudo pkill -9 dpkg || true
@@ -128,7 +128,7 @@ setup_commands:
    # Uncomment the following line if you want to run the nightly version of ray (as opposed to the latest)
    - echo 'eval "$(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:
@@ -67,7 +67,7 @@ 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-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:
@@ -97,7 +97,7 @@ setup_commands:
    - echo 'eval "$(conda shell.bash hook)"' >> ~/.bashrc
    # - echo 'conda activate py37_pytorch' >> ~/.bashrc
    - echo 'conda activate py37_tensorflow' >> ~/.bashrc
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.1.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.2.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl
    # Consider uncommenting these if you also want to run apt-get commands during setup
    # - sudo pkill -9 apt-get || true
    # - sudo pkill -9 dpkg || true
@@ -130,7 +130,7 @@ setup_commands:
      && echo 'export PATH="$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.
@@ -136,7 +136,7 @@ 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.
@@ -119,8 +119,8 @@ initialization_commands:
 # 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:
@@ -93,7 +93,7 @@ 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: []
@@ -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
@@ -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

@@ -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
@@ -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/
@@ -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/
@@ -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/
@@ -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
@@ -23,11 +23,16 @@ target_utilization_fraction: 0.8
 # If a node is idle for this many minutes, it will be removed.
 idle_timeout_minutes: 5

+docker:
+    image: anyscale/ray:latest
+    container_name: ray_container
+    pull_before_run: False
+
 # Cloud-provider specific configuration.
 provider:
    type: aws
    region: us-west-2
-    availability_zone: us-west-2a
+    availability_zone: us-west-2a, us-west-2b, us-west-2c
    cache_stopped_nodes: False

 # How Ray will authenticate with newly launched nodes.
@@ -44,30 +49,13 @@ auth:
 # http://boto3.readthedocs.io/en/latest/reference/services/ec2.html#EC2.ServiceResource.create_instances
 head_node:
    InstanceType: m4.16xlarge
-    ImageId: ami-042d0d6196f494652 # Custom ami
-
-    # Set primary volume to 25 GiB
-    BlockDeviceMappings:
-        - DeviceName: /dev/sda1
-          Ebs:
-              VolumeSize: 100
-
-    # Additional options in the boto docs.
-
+    
 # Provider-specific config for worker nodes, e.g. instance type. By default
 # Ray will auto-configure unspecified fields such as SubnetId and KeyName.
 # For more documentation on available fields, see:
 # http://boto3.readthedocs.io/en/latest/reference/services/ec2.html#EC2.ServiceResource.create_instances
 worker_nodes:
    InstanceType: m4.large
-    ImageId: ami-042d0d6196f494652 # Custom ami
-
-    # Set primary volume to 25 GiB
-    BlockDeviceMappings:
-        - DeviceName: /dev/sda1
-          Ebs:
-              VolumeSize: 100
-
    # Run workers on spot by default. Comment this out to use on-demand.
    InstanceMarketOptions:
        MarketType: spot
@@ -85,23 +73,12 @@ setup_commands:
    # # Build Ray.
    # - git clone https://github.com/ray-project/ray || true
    # - ray/ci/travis/install-bazel.sh
-    - pip install -U pip
    - 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/releases/ray-1.1.0/c7239d7b738919daa2fad65e26d3634a9f36f2eb/ray-1.1.0.dev0-cp38-cp38-manylinux2014_x86_64.whl"
-# Custom commands that will be run on the head node after common setup.
+    - "pip install https://s3-us-west-2.amazonaws.com/ray-wheels/releases/1.1.0/496e449a8bc022b3cd544f7bca76d91be05f04f4/ray-1.1.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl"
+
 head_setup_commands: []

 # Custom commands that will be run on worker nodes after common setup.
-worker_setup_commands: []
-
-# Command to start ray on the head node. You don't need to change this.
-head_start_ray_commands:
-    - ray stop
-    - ulimit -n 65536; ray start --head --port=6379 --autoscaling-config=~/ray_bootstrap_config.yaml
-
-# Command to start ray on worker nodes. You don't need to change this.
-worker_start_ray_commands:
-    - ray stop
-    - ulimit -n 65536; ray start --address=$RAY_HEAD_IP:6379 --num-gpus=100
+worker_setup_commands: []
@@ -163,7 +163,7 @@ 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
@@ -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);

@@ -258,7 +258,7 @@ 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);