mirror of
https://github.com/vale981/ray
synced 2025-03-08 11:31:40 -05:00
11a8914684
* Allow serialization of custom classes. * Add documentation and test cases, also fix pickle case. * Don't allow old-style classes.
21 lines
1,015 B
Docker
21 lines
1,015 B
Docker
# The deploy Docker image build a self-contained Ray instance suitable
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# for end users.
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FROM ubuntu:xenial
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RUN apt-get update
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RUN apt-get -y install apt-utils
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RUN apt-get -y install sudo
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RUN apt-get install -y git cmake build-essential autoconf curl libtool python-dev python-numpy python-pip libboost-all-dev unzip graphviz
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RUN pip install ipython funcsigs subprocess32 protobuf colorama graphviz
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RUN pip install git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4 # We use the latest version of cloudpickle because it can serialize named tuples.
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RUN adduser --gecos --ingroup ray-user --disabled-login --gecos ray-user
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RUN adduser ray-user sudo
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RUN sed -i "s|%sudo\tALL=(ALL:ALL) ALL|%sudo\tALL=NOPASSWD: ALL|" /etc/sudoers
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USER ray-user
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WORKDIR /home/ray-user
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RUN git clone https://github.com/amplab/ray
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WORKDIR /home/ray-user/ray
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RUN ./setup.sh
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RUN ./build.sh
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RUN echo '\n# Ray environment\nsource /home/ray-user/ray/setup-env.sh' >> /home/ray-user/.bashrc
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ENTRYPOINT bash
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