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Update wheels to 0.8.0dev2 (#5186)

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Richard Liaw
2019-07-12 17:27:03 -07:00
committed by GitHub
parent 1530389822
commit b6509f46b0
8 changed files with 23 additions and 23 deletions
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python/ray/autoscaler/gcp/example-full.yaml
+3 -3
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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.dev1-cp27-cp27mu-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev1-cp35-cp35m-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev1-cp36-cp36m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev2-cp27-cp27mu-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev2-cp35-cp35m-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev2-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
+3 -3
View File
@@ -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.dev1-cp27-cp27mu-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev1-cp35-cp35m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev1-cp36-cp36m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev2-cp27-cp27mu-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev2-cp35-cp35m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.8.0.dev2-cp36-cp36m-manylinux1_x86_64.whl
# Custom commands that will be run on the head node after common setup.
head_setup_commands: