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Update versions from 0.6.2 -> 0.6.3 in the documentation. (#3981)
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committed by
Peter Schafhalter
parent
ef527f84ab
commit
6a32b410bb
@@ -94,9 +94,9 @@ setup_commands:
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# has your Ray repo pre-cloned. Then, you can replace the pip installs
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# below with a git checkout <your_sha> (and possibly a recompile).
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- echo 'export PATH="$HOME/anaconda3/envs/tensorflow_p36/bin:$PATH"' >> ~/.bashrc
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# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.6.2-cp27-cp27mu-manylinux1_x86_64.whl
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# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.6.2-cp35-cp35m-manylinux1_x86_64.whl
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- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.6.2-cp36-cp36m-manylinux1_x86_64.whl
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# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.6.3-cp27-cp27mu-manylinux1_x86_64.whl
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# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.6.3-cp35-cp35m-manylinux1_x86_64.whl
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- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.6.3-cp36-cp36m-manylinux1_x86_64.whl
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# Consider uncommenting these if you also want to run apt-get commands during setup
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# - sudo pkill -9 apt-get || true
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# - sudo pkill -9 dpkg || true
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@@ -121,9 +121,9 @@ setup_commands:
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&& echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> ~/.profile
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# Install ray
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# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.6.2-cp27-cp27mu-manylinux1_x86_64.whl
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# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.6.2-cp35-cp35m-manylinux1_x86_64.whl
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- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.6.2-cp36-cp36m-manylinux1_x86_64.whl
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# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.6.3-cp27-cp27mu-manylinux1_x86_64.whl
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# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.6.3-cp35-cp35m-manylinux1_x86_64.whl
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- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.6.3-cp36-cp36m-manylinux1_x86_64.whl
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# Custom commands that will be run on the head node after common setup.
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