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Bump dev version to 0.8.0.dev6 (#5906)

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This commit is contained in:
Edward Oakes
2019-10-14 11:36:13 +01:00
committed by GitHub
parent 1650f7b174
commit abbfe7392f
11 changed files with 26 additions and 26 deletions
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ci/long_running_tests/.rayproject/project.yaml
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@@ -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.dev5-cp36-cp36m-manylinux1_x86_64.whl
default: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-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/examples/newsreader/.rayproject/cluster.yaml
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@@ -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.dev5-cp36-cp36m-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp36-cp36m-manylinux1_x86_64.whl
# How Ray will authenticate with newly launched nodes.
auth:
doc/source/installation.rst
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@@ -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.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
.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp37-cp37m-manylinux1_x86_64.whl
.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp36-cp36m-manylinux1_x86_64.whl
.. _`Linux Python 3.5`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp35-cp35m-manylinux1_x86_64.whl
.. _`Linux Python 2.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp27-cp27mu-manylinux1_x86_64.whl
.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-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.dev6-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.dev6-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.dev6-cp27-cp27m-macosx_10_6_intel.whl
Building Ray from Source
------------------------
docker/tune_test/Dockerfile
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@@ -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.dev5-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.dev6-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/__init__.py
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@@ -110,7 +110,7 @@ from ray.actor import method # noqa: E402
from ray.runtime_context import _get_runtime_context # noqa: E402
# Ray version string.
__version__ = "0.8.0.dev5"
__version__ = "0.8.0.dev6"
__all__ = [
"global_state",
python/ray/autoscaler/aws/example-full.yaml
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@@ -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.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
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp27-cp27mu-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp35-cp35m-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-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
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@@ -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.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
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp27-cp27mu-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp35-cp35m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-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
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@@ -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.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
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp27-cp27mu-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp35-cp35m-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-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
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@@ -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.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
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp27-cp27mu-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-cp35-cp35m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-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
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@@ -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.dev5-cp36-cp36m-manylinux1_x86_64.whl
- ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev6-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
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@@ -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.dev5"},
{ray::stats::VersionKey, "0.8.0.dev6"},
{ray::stats::NodeAddressKey, node_ip_address}};
ray::stats::Init(stat_address, global_tags, disable_stats, enable_stdout_exporter);