8b04736b81
* Add inplace prediction for dask-cudf. * Remove Dockerfile.release, since it's not used anywhere * Use Conda exclusively in CUDF and GPU containers * Improve cupy memory copying. * Add skip marks to tests. * Add mgpu-cudf category on the CI to run all distributed tests. Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>
38 lines
1.2 KiB
Docker
38 lines
1.2 KiB
Docker
ARG CUDA_VERSION
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FROM nvidia/cuda:$CUDA_VERSION-runtime-ubuntu16.04
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# Environment
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ENV DEBIAN_FRONTEND noninteractive
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SHELL ["/bin/bash", "-c"] # Use Bash as shell
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# Install all basic requirements
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RUN \
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apt-get update && \
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apt-get install -y wget unzip bzip2 libgomp1 build-essential && \
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# Python
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wget -O Miniconda3.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
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bash Miniconda3.sh -b -p /opt/python
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ENV PATH=/opt/python/bin:$PATH
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# Create new Conda environment with cuDF, Dask, and cuPy
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RUN \
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conda create -n cudf_test -c rapidsai -c nvidia -c conda-forge -c defaults \
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python=3.7 cudf cudatoolkit=$CUDA_VERSION dask dask-cuda dask-cudf cupy \
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numpy pytest scipy scikit-learn pandas matplotlib wheel python-kubernetes urllib3 graphviz
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ENV GOSU_VERSION 1.10
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# Install lightweight sudo (not bound to TTY)
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RUN set -ex; \
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wget -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
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chmod +x /usr/local/bin/gosu && \
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gosu nobody true
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# Default entry-point to use if running locally
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# It will preserve attributes of created files
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COPY entrypoint.sh /scripts/
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WORKDIR /workspace
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ENTRYPOINT ["/scripts/entrypoint.sh"]
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