mirror of
https://github.com/vale981/ray
synced 2025-03-08 19:41:38 -05:00
05c4e3fb2a
* necessary changes * Split bazel install * manylinux2014 * change references to manylinux2014 * Fix lint * port alex's docker build changes * fix config issue * remove extra manylinux2010 requirement script * revert SHA overwrite * wip * incompatible_linklibs * fix nits
53 lines
1.1 KiB
Bash
Executable file
53 lines
1.1 KiB
Bash
Executable file
#!/usr/bin/env bash
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ray_version=""
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commit=""
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ray_branch=""
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for i in "$@"
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do
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echo "$i"
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case "$i" in
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--ray-version=*)
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ray_version="${i#*=}"
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;;
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--commit=*)
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commit="${i#*=}"
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;;
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--ray-branch=*)
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ray_branch="${i#*=}"
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;;
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--workload=*)
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;;
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--help)
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usage
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exit
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;;
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*)
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echo "unknown arg, $i"
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exit 1
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;;
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esac
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done
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if [[ $ray_version == "" || $commit == "" || $ray_branch == "" ]]
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then
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echo "Provide --ray-version, --commit, and --ray-branch"
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exit 1
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fi
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echo "version: $ray_version"
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echo "commit: $commit"
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echo "branch: $ray_branch"
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echo "workload: ignored"
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wheel="https://s3-us-west-2.amazonaws.com/ray-wheels/$ray_branch/$commit/ray-$ray_version-cp36-cp36m-manylinux2014_x86_64.whl"
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conda uninstall -y terminado
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source activate tensorflow_p36 && pip install -U pip
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source activate tensorflow_p36 && pip install -U "$wheel"
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# Run all test cases, but with a forced num_gpus=1.
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# TODO: (sven) chose correct dir and run over all RLlib tests and example scripts!
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source activate tensorflow_p36 && export RAY_FORCE_NUM_GPUS=1 && cd ~ && python -m pytest test_attention_net_learning.py
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