mirror of
https://github.com/vale981/ray
synced 2025-03-10 05:16:49 -04:00
25 lines
1 KiB
Text
25 lines
1 KiB
Text
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# The stress_test Docker image build a self-contained Ray instance for launching Ray.
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FROM ray-project/base-deps
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RUN pip install -U pip
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# We install this after the latest wheels -- this should not override the latest wheels.
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# Needed to run Tune example with a 'plot' call - which does not actually render a plot, but throws an error.
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RUN pip install torch==1.4.0+cpu torchvision==0.5.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
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RUN pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow_cpu-2.1.0-cp36-cp36m-manylinux2010_x86_64.whl
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COPY requirements.txt .
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RUN pip install -r requirements.txt
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# We port the source code in so that we run the most up-to-date stress tests.
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ADD ray.tar /ray
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ADD git-rev /ray/git-rev
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RUN bash /ray/ci/travis/install-bazel.sh
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RUN echo 'build --remote_cache="https://storage.googleapis.com/ray-bazel-cache"' >> $HOME/.bashrc
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RUN echo 'build --remote_upload_local_results=false' >> $HOME/.bashrc
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RUN cd /ray/python; pip install -e . --verbose
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WORKDIR /ray
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