Dockerfile-cuda

FROM tensorflow/tfx:0.26.0
WORKDIR /pipeline
COPY ./ ./
ENV PYTHONPATH="/pipeline:${PYTHONPATH}"
RUN pip install --no-cache-dir psutil

ENV CUDA_VERSION 10.1.243
ENV CUDA_PKG_VERSION 10-1=$CUDA_VERSION-1
ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
ENV NVIDIA_VISIBLE_DEVICES all
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
ENV NVIDIA_REQUIRE_CUDA "cuda>=10.1 brand=tesla,driver>=384,driver<385 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411"
ENV NCCL_VERSION 2.4.8
ENV CUDNN_VERSION 7.6.5.32
ENV TF_FORCE_GPU_ALLOW_GROWTH true

RUN apt-get update && apt-get install -y --no-install-recommends ca-certificates apt-transport-https gnupg-curl && \
     NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && \
     NVIDIA_GPGKEY_FPR=ae09fe4bbd223a84b2ccfce3f60f4b3d7fa2af80 && \
     apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub && \
     apt-key adv --export --no-emit-version -a $NVIDIA_GPGKEY_FPR | tail -n +5 > cudasign.pub && \
     echo "$NVIDIA_GPGKEY_SUM  cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub && \
     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \
     echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list && \
     apt-get purge --auto-remove -y gnupg-curl && \
     apt-get update && apt-get install -y --no-install-recommends cuda-cudart-$CUDA_PKG_VERSION cuda-compat-10-1 && \
     ln -s cuda-10.1 /usr/local/cuda && \
     echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \
     echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf && \
     apt-get update && apt-get install -y --no-install-recommends cuda-libraries-$CUDA_PKG_VERSION cuda-nvtx-$CUDA_PKG_VERSION libcublas10=10.2.1.243-1 libnccl2=$NCCL_VERSION-1+cuda10.1 && \
     apt-mark hold libnccl2 && \
     apt-get update && apt-get install -y --no-install-recommends libcudnn7=$CUDNN_VERSION-1+cuda10.1 && \
     apt-mark hold libcudnn7 && \
     rm -rf /var/lib/apt/lists/*