mirror of
https://github.com/vale981/ray
synced 2025-03-06 10:31:39 -05:00

* Modifed dockerfiles for base-deps and autoscaler * Reverted base-deps to use xenial instead of bionic, reverted addition of gnupg2 * Added --no-cache-dir to pip install Co-authored-by: jenkins-x-bot <jenkins-x@googlegroups.com>
33 lines
1 KiB
Docker
33 lines
1 KiB
Docker
# The base-deps Docker image installs main libraries needed to run Ray
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FROM ubuntu:xenial
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RUN apt-get update \
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&& apt-get install -y \
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git \
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wget \
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cmake \
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build-essential \
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curl \
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unzip \
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libgtk2.0-dev \
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zlib1g-dev \
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libgl1-mesa-dev \
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&& apt-get clean \
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&& echo 'export PATH=/opt/conda/bin:$PATH' > /etc/profile.d/conda.sh \
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&& wget \
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--quiet "https://repo.anaconda.com/miniconda/Miniconda3-4.7.12.1-Linux-x86_64.sh" \
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-O /tmp/anaconda.sh \
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&& /bin/bash /tmp/anaconda.sh -b -p /opt/conda \
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&& rm /tmp/anaconda.sh \
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&& /opt/conda/bin/conda install -y \
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libgcc python=3.6.9 \
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&& /opt/conda/bin/conda clean -y --all \
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&& /opt/conda/bin/pip install --no-cache-dir \
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flatbuffers \
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cython==0.29.0 \
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numpy==1.15.4 \
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# To avoid the following error on Jenkins:
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# AttributeError: 'numpy.ufunc' object has no attribute '__module__'
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&& /opt/conda/bin/pip uninstall -y dask
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ENV PATH "/opt/conda/bin:$PATH"
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