Update version from 0.7.0.dev0 to 0.7.0.dev1

ci/long_running_tests/config.yaml

@@ -51,7 +51,7 @@ setup_commands:
     # - git clone https://github.com/ray-project/ray || true
     # - cd ray/python; git checkout master; git pull; pip install -e . --verbose
     # Install nightly Ray wheels.
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp36-cp36m-manylinux1_x86_64.whl
     - pip install ray[rllib] ray[debug] tensorflow
     - pip install -U dask  # fix error importing lz4
 

ci/stress_tests/application_cluster_template.yaml

@@ -90,8 +90,8 @@ file_mounts: {
 # List of shell commands to run to set up nodes.
 setup_commands:
     - echo 'export PATH="$HOME/anaconda3/envs/tensorflow_<<<PYTHON_VERSION>>>/bin:$PATH"' >> ~/.bashrc
-    - ray || wget https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-<<<WHEEL_STR>>>-manylinux1_x86_64.whl
-    - rllib || pip install -U ray-0.7.0.dev0-<<<WHEEL_STR>>>-manylinux1_x86_64.whl[rllib]
+    - ray || wget https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-<<<WHEEL_STR>>>-manylinux1_x86_64.whl
+    - rllib || pip install -U ray-0.7.0.dev1-<<<WHEEL_STR>>>-manylinux1_x86_64.whl[rllib]
     - pip install tensorflow-gpu==1.12.0
     - echo "sudo halt" | at now + 60 minutes
     # Consider uncommenting these if you also want to run apt-get commands during setup

ci/stress_tests/stress_testing_config.yaml

@@ -100,7 +100,7 @@ setup_commands:
     # - git clone https://github.com/ray-project/ray || true
     - 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-0.7.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
+    - pip install https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp36-cp36m-manylinux1_x86_64.whl
     - echo "sudo halt" | at now + 60 minutes
 
 # Custom commands that will be run on the head node after common setup.

doc/source/installation.rst

@@ -34,16 +34,16 @@ Here are links to the latest wheels (which are built off of master). To install
 ===================  ===================
 
 
-.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
-.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
-.. _`Linux Python 3.5`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp35-cp35m-manylinux1_x86_64.whl
-.. _`Linux Python 3.4`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp34-cp34m-manylinux1_x86_64.whl
-.. _`Linux Python 2.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp27-cp27mu-manylinux1_x86_64.whl
-.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp37-cp37m-macosx_10_6_intel.whl
-.. _`MacOS Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp36-cp36m-macosx_10_6_intel.whl
-.. _`MacOS Python 3.5`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp35-cp35m-macosx_10_6_intel.whl
-.. _`MacOS Python 3.4`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp34-cp34m-macosx_10_6_intel.whl
-.. _`MacOS Python 2.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp27-cp27m-macosx_10_6_intel.whl
+.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp37-cp37m-manylinux1_x86_64.whl
+.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp36-cp36m-manylinux1_x86_64.whl
+.. _`Linux Python 3.5`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp35-cp35m-manylinux1_x86_64.whl
+.. _`Linux Python 3.4`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp34-cp34m-manylinux1_x86_64.whl
+.. _`Linux Python 2.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp27-cp27mu-manylinux1_x86_64.whl
+.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp37-cp37m-macosx_10_6_intel.whl
+.. _`MacOS Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp36-cp36m-macosx_10_6_intel.whl
+.. _`MacOS Python 3.5`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp35-cp35m-macosx_10_6_intel.whl
+.. _`MacOS Python 3.4`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp34-cp34m-macosx_10_6_intel.whl
+.. _`MacOS Python 2.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp27-cp27m-macosx_10_6_intel.whl
 
 
 Building Ray from source

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://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp27-cp27mu-manylinux1_x86_64.whl boto3
+RUN pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp27-cp27mu-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

@@ -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://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp27-cp27mu-manylinux1_x86_64.whl boto3
+RUN pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp27-cp27mu-manylinux1_x86_64.whl boto3
 # We install this after the latest wheels -- this should not override the latest wheels.
 RUN apt-get install -y zlib1g-dev
 RUN pip install gym[atari]==0.10.11 opencv-python-headless tensorflow lz4 keras pytest-timeout smart_open

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

@@ -100,9 +100,9 @@ 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-0.7.0.dev0-cp27-cp27mu-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp35-cp35m-manylinux1_x86_64.whl
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp27-cp27mu-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp35-cp35m-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-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

@@ -92,9 +92,9 @@ 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-0.7.0.dev0-cp27-cp27mu-manylinux1_x86_64.whl
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp35-cp35m-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp27-cp27mu-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp35-cp35m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-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

@@ -122,9 +122,9 @@ 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-0.7.0.dev0-cp27-cp27mu-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp35-cp35m-manylinux1_x86_64.whl
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp27-cp27mu-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp35-cp35m-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-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

@@ -127,9 +127,9 @@ 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-0.7.0.dev0-cp27-cp27mu-manylinux1_x86_64.whl
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp35-cp35m-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp27-cp27mu-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp35-cp35m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.7.0.dev1-cp36-cp36m-manylinux1_x86_64.whl
 
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands: