Bump Ray version in documentation to dev5 (#5794)

README.rst

@@ -6,9 +6,6 @@
 .. image:: https://readthedocs.org/projects/ray/badge/?version=latest
     :target: http://ray.readthedocs.io/en/latest/?badge=latest
 
-.. image:: https://img.shields.io/badge/pypi-0.7.4-blue.svg
-    :target: https://pypi.org/project/ray/
-
 |
 
 

ci/long_running_tests/.rayproject/project.yaml

@@ -15,7 +15,7 @@ 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.dev4-cp36-cp36m-manylinux1_x86_64.whl
+        default: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-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"]

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.dev4-cp37-cp37m-manylinux1_x86_64.whl
-.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev4-cp36-cp36m-manylinux1_x86_64.whl
-.. _`Linux Python 3.5`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev4-cp35-cp35m-manylinux1_x86_64.whl
-.. _`Linux Python 2.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev4-cp27-cp27mu-manylinux1_x86_64.whl
-.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev4-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.dev4-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.dev4-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.dev4-cp27-cp27m-macosx_10_6_intel.whl
+.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp37-cp37m-manylinux1_x86_64.whl
+.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp36-cp36m-manylinux1_x86_64.whl
+.. _`Linux Python 3.5`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp35-cp35m-manylinux1_x86_64.whl
+.. _`Linux Python 2.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp27-cp27mu-manylinux1_x86_64.whl
+.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-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.dev5-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.dev5-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.dev5-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://ray-wheels.s3-us-west-2.amazonaws.com/latest/ray-0.8.0.dev4-cp36-cp36m-manylinux1_x86_64.whl boto3
+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 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

@@ -5,7 +5,7 @@ FROM ray-project/base-deps
 # We install ray and boto3 to enable the ray autoscaler as
 # a test runner.
 RUN conda install -y numpy
-RUN pip install -U https://ray-wheels.s3-us-west-2.amazonaws.com/latest/ray-0.8.0.dev4-cp36-cp36m-manylinux1_x86_64.whl boto3
+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
 # We install this after the latest wheels -- this should not override the latest wheels.
 RUN apt-get install -y zlib1g-dev
 # The following is needed to support TensorFlow 1.14

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

@@ -113,9 +113,9 @@ 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.dev4-cp27-cp27mu-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev4-cp35-cp35m-manylinux1_x86_64.whl
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev4-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp27-cp27mu-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp35-cp35m-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-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.dev4-cp27-cp27mu-manylinux1_x86_64.whl
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev4-cp35-cp35m-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev4-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp27-cp27mu-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp35-cp35m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-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

@@ -127,9 +127,9 @@ 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.dev4-cp27-cp27mu-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev4-cp35-cp35m-manylinux1_x86_64.whl
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev4-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp27-cp27mu-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp35-cp35m-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-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.dev4-cp27-cp27mu-manylinux1_x86_64.whl
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev4-cp35-cp35m-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev4-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp27-cp27mu-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp35-cp35m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-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.dev4-cp36-cp36m-manylinux1_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev5-cp36-cp36m-manylinux1_x86_64.whl
     - conda install -y pytorch torchvision cudatoolkit=9.0 -c pytorch
     - pip install -U ipdb ray[rllib]
 

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.dev4"},
+      {ray::stats::VersionKey, "0.8.0.dev5"},
       {ray::stats::NodeAddressKey, node_ip_address}};
   ray::stats::Init(stat_address, global_tags, disable_stats, enable_stdout_exporter);