Update Dockerfiles to latest versions
Aurélien Geron
parent
827ab1e07b
commit
e8429dc540
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@ -1,6 +1,7 @@
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FROM continuumio/miniconda3:latest
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RUN apt-get update && apt-get install -y \
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protobuf-compiler \
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sudo \
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&& apt clean \
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&& rm -rf /var/lib/apt/lists/*
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@ -9,48 +9,35 @@
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###############################################
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#### FROM tensorflow/tensorflow:latest-gpu ####
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###############################################
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ARG UBUNTU_VERSION=18.04
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ARG UBUNTU_VERSION=20.04
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ARG ARCH=
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ARG CUDA=11.0
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FROM nvidia/cuda${ARCH:+-$ARCH}:${CUDA}-base-ubuntu${UBUNTU_VERSION} as base
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ARG CUDA=11.2
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FROM nvidia/cuda${ARCH:+-$ARCH}:${CUDA}.1-base-ubuntu${UBUNTU_VERSION} as base
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# ARCH and CUDA are specified again because the FROM directive resets ARGs
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# (but their default value is retained if set previously)
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ARG ARCH
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ARG CUDA
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ARG CUDNN=8.0.4.30-1
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ARG CUDNN=8.1.0.77-1
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ARG CUDNN_MAJOR_VERSION=8
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ARG LIB_DIR_PREFIX=x86_64
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ARG LIBNVINFER=7.1.3-1
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ARG LIBNVINFER=7.2.2-1
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ARG LIBNVINFER_MAJOR_VERSION=7
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# Let us install tzdata painlessly
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ENV DEBIAN_FRONTEND=noninteractive
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# Needed for string substitution
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SHELL ["/bin/bash", "-c"]
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# Pick up some TF dependencies
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# [HOML2] Tweaked for handson-ml3: added all the libs before build-essentials
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# and call apt clean + remove apt cache.
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RUN apt-get update -q && apt-get install -q -y --no-install-recommends \
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bzip2 \
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ca-certificates \
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cmake \
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ffmpeg \
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# [HOML3] Tweaked for handson-ml3: added all the libs before build-essentials
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# and call apt clean + delete apt cache files.
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RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub && \
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apt-get update && apt-get install -y --no-install-recommends \
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git \
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libboost-all-dev \
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libglib2.0-0 \
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libjpeg-dev \
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libpq-dev \
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libsdl2-dev \
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libsm6 \
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libxext6 \
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libxrender1 \
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mercurial \
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subversion \
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protobuf-compiler \
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sudo \
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swig \
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wget \
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xorg-dev \
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zip \
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zlib1g-dev \
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build-essential \
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cuda-command-line-tools-${CUDA/./-} \
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libcublas-${CUDA/./-} \
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@ -71,14 +58,18 @@ RUN apt-get update -q && apt-get install -q -y --no-install-recommends \
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&& rm -rf /var/lib/apt/lists/*
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# Install TensorRT if not building for PowerPC
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# NOTE: libnvinfer uses cuda11.1 versions
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RUN [[ "${ARCH}" = "ppc64le" ]] || { apt-get update && \
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apt-get install -y --no-install-recommends libnvinfer${LIBNVINFER_MAJOR_VERSION}=${LIBNVINFER}+cuda${CUDA} \
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libnvinfer-plugin${LIBNVINFER_MAJOR_VERSION}=${LIBNVINFER}+cuda${CUDA} \
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub && \
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echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/tensorRT.list && \
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apt-get update && \
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apt-get install -y --no-install-recommends libnvinfer${LIBNVINFER_MAJOR_VERSION}=${LIBNVINFER}+cuda11.0 \
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libnvinfer-plugin${LIBNVINFER_MAJOR_VERSION}=${LIBNVINFER}+cuda11.0 \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*; }
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# For CUDA profiling, TensorFlow requires CUPTI.
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ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
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ENV LD_LIBRARY_PATH /usr/local/cuda-11.0/targets/x86_64-linux/lib:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
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# Link the libcuda stub to the location where tensorflow is searching for it and reconfigure
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# dynamic linker run-time bindings
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@ -86,7 +77,7 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
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&& echo "/usr/local/cuda/lib64/stubs" > /etc/ld.so.conf.d/z-cuda-stubs.conf \
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&& ldconfig
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# [HOML2] Tweaked for handson-ml3: removed Python3 & TensorFlow installation using pip
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# [HOML3] Tweaked for handson-ml3: removed Python3 & TensorFlow installation using pip
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#################################################
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#### End of tensorflow/tensorflow:latest-gpu ####
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@ -105,15 +96,29 @@ ENV PATH /opt/conda/bin:/opt/conda/envs/homl3/bin:$PATH
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CMD [ "/bin/bash" ]
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# Leave these args here to better use the Docker build cache
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ARG CONDA_VERSION=py38_4.9.2
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ARG CONDA_MD5=122c8c9beb51e124ab32a0fa6426c656
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ARG CONDA_VERSION=py39_4.12.0
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RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-${CONDA_VERSION}-Linux-x86_64.sh -O miniconda.sh && \
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echo "${CONDA_MD5} miniconda.sh" > miniconda.md5 && \
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if ! md5sum --status -c miniconda.md5; then exit 1; fi && \
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RUN set -x && \
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UNAME_M="$(uname -m)" && \
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if [ "${UNAME_M}" = "x86_64" ]; then \
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MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-${CONDA_VERSION}-Linux-x86_64.sh"; \
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SHA256SUM="78f39f9bae971ec1ae7969f0516017f2413f17796670f7040725dd83fcff5689"; \
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elif [ "${UNAME_M}" = "s390x" ]; then \
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MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-${CONDA_VERSION}-Linux-s390x.sh"; \
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SHA256SUM="ff6fdad3068ab5b15939c6f422ac329fa005d56ee0876c985e22e622d930e424"; \
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elif [ "${UNAME_M}" = "aarch64" ]; then \
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MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-${CONDA_VERSION}-Linux-aarch64.sh"; \
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SHA256SUM="5f4f865812101fdc747cea5b820806f678bb50fe0a61f19dc8aa369c52c4e513"; \
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elif [ "${UNAME_M}" = "ppc64le" ]; then \
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MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-${CONDA_VERSION}-Linux-ppc64le.sh"; \
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SHA256SUM="1fe3305d0ccc9e55b336b051ae12d82f33af408af4b560625674fa7ad915102b"; \
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fi && \
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wget "${MINICONDA_URL}" -O miniconda.sh -q && \
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echo "${SHA256SUM} miniconda.sh" > shasum && \
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if [ "${CONDA_VERSION}" != "latest" ]; then sha256sum --check --status shasum; fi && \
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mkdir -p /opt && \
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sh miniconda.sh -b -p /opt/conda && \
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rm miniconda.sh miniconda.md5 && \
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rm miniconda.sh shasum && \
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ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
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echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
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echo "conda activate base" >> ~/.bashrc && \
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