mirror of
https://github.com/wassname/ray.git
synced 2026-07-01 13:11:32 +08:00
Philipp Moritz
c3b39b4d86
* Rebase Ray on top of Plasma in Apache Arrow * add thirdparty building scripts * use rebased arrow * fix * fix build * fix python visibility * comment out C tests for now * fix multithreading * fix * reduce logging * fix plasma manager multithreading * make sure old and new object IDs can coexist peacefully * more rebasing * update * fixes * fix * install pyarrow * install cython * fix * install newer cmake * fix * rebase on top of latest arrow * getting runtest.py run locally (needed to comment out a test for that to work) * work on plasma tests * more fixes * fix local scheduler tests * fix global scheduler test * more fixes * fix python 3 bytes vs string * fix manager tests valgrind * fix documentation building * fix linting * fix c++ linting * fix linting * add tests back in * Install without sudo. * Set PKG_CONFIG_PATH in build.sh so that Ray can find plasma. * Install pkg-config * Link -lpthread, note that find_package(Threads) doesn't seem to work reliably. * Comment in testGPUIDs in runtest.py. * Set PKG_CONFIG_PATH when building pyarrow. * Pull apache/arrow and not pcmoritz/arrow. * Fix installation in docker image. * adapt to changes of the plasma api * Fix installation of pyarrow module. * Fix linting. * Use correct python executable to build pyarrow.
16 lines
666 B
Docker
16 lines
666 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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&& apt-get install -y vim git wget \
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&& apt-get install -y cmake pkg-config build-essential autoconf curl libtool libboost-all-dev unzip
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RUN echo 'export PATH=/opt/conda/bin:$PATH' > /etc/profile.d/conda.sh \
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&& wget --quiet 'https://repo.continuum.io/archive/Anaconda2-4.2.0-Linux-x86_64.sh' -O /tmp/anaconda.sh \
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&& /bin/bash /tmp/anaconda.sh -b -p /opt/conda \
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&& rm /tmp/anaconda.sh
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ENV PATH "/opt/conda/bin:$PATH"
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RUN conda install -y libgcc
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RUN pip install flatbuffers
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RUN pip install --upgrade pip cloudpickle
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