Added dockerfile

DockerFile

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+FROM ubuntu:16.04
+LABEL maintainer "NVIDIA CORPORATION <[email protected]>"
+
+RUN apt-get update && apt-get install -y build-essential && apt-get update && apt-get install -y software-properties-common && \
+    apt-get update && \
+    add-apt-repository main && add-apt-repository universe && add-apt-repository restricted && add-apt-repository multiverse && apt-get update && \
+    apt-get install -y --no-install-recommends build-essential ca-certificates sudo git bzip2 libx11-6 apt-transport-https gnupg-curl curl nano && \
+    rm -rf /var/lib/apt/lists/* && \
+    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
+
+ENV CUDA_VERSION 9.0.176
+ENV CUDNN_VERSION 7.6.0.64
+ENV NCCL_VERSION 2.4.2
+ENV CUDA_PKG_VERSION 9-0=$CUDA_VERSION-1
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        cuda-cudart-$CUDA_PKG_VERSION && \
+    ln -s cuda-9.0 /usr/local/cuda && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        cuda-libraries-$CUDA_PKG_VERSION \
+        cuda-cublas-9-0=9.0.176.4-1 \
+        libnccl2=$NCCL_VERSION-1+cuda9.0 && \
+    apt-mark hold libnccl2 && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        cuda-libraries-dev-$CUDA_PKG_VERSION \
+        cuda-nvml-dev-$CUDA_PKG_VERSION \
+        cuda-minimal-build-$CUDA_PKG_VERSION \
+        cuda-command-line-tools-$CUDA_PKG_VERSION \
+        cuda-core-9-0=9.0.176.3-1 \
+        cuda-cublas-dev-9-0=9.0.176.4-1 \
+        libnccl-dev=$NCCL_VERSION-1+cuda9.0 && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \
+    echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
+
+ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
+ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
+ENV LIBRARY_PATH /usr/local/cuda/lib64/stub
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+            libcudnn7=$CUDNN_VERSION-1+cuda9.0 && \
+    rm -rf /var/lib/apt/lists/*
+
+
+# nvidia-container-runtime
+ENV NVIDIA_VISIBLE_DEVICES all
+ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
+ENV NVIDIA_REQUIRE_CUDA "cuda>=9.0"
+
+# Create a non-root user and switch to it
+RUN adduser --disabled-password --gecos '' --shell /bin/bash user
+RUN echo "user ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/90-user
+USER user
+
+# All users can use /home/user as their home directory
+ENV HOME=/home/user
+RUN chmod 777 /home/user
+
+# Install Miniconda
+RUN curl -so ~/miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh \
+ && chmod +x ~/miniconda.sh \
+ && ~/miniconda.sh -b -p ~/miniconda \
+ && rm ~/miniconda.sh
+ENV PATH=/home/user/miniconda/bin:$PATH
+ENV CONDA_AUTO_UPDATE_CONDA=false
+
+# Create a Python 3.6 environment
+RUN /home/user/miniconda/bin/conda create -y --name py36 python=3.6.9 \
+ && /home/user/miniconda/bin/conda clean -ya
+ENV CONDA_DEFAULT_ENV=py36
+ENV CONDA_PREFIX=/home/user/miniconda/envs/$CONDA_DEFAULT_ENV
+ENV PATH=$CONDA_PREFIX/bin:$PATH
+RUN /home/user/miniconda/bin/conda install conda-build=3.18.9=py36_3 \
+ && /home/user/miniconda/bin/conda clean -ya
+
+
+# Install HDF5 Python bindings
+RUN conda install -y h5py=2.8.0 \
+ && conda clean -ya
+RUN pip install h5py-cache==1.0
+
+# Install Requests, a Python library for making HTTP requests
+RUN conda install -y requests=2.19.1 \
+ && conda clean -ya
+
+# Install Graphviz
+RUN conda install -y graphviz=2.40.1 python-graphviz=0.8.4 \
+ && conda clean -ya
+
+# Install OpenCV3 Python bindings
+RUN sudo apt-get update && sudo apt-get install -y --no-install-recommends \
+    libgtk2.0-0 \
+    libcanberra-gtk-module \
+    libsm6 \
+ && sudo rm -rf /var/lib/apt/lists/*
+RUN conda install -y -c menpo opencv3=3.1.0 \
+ && conda clean -ya
+
+# Set the default command to python3
+CMD ["python3"]
+# Set the locale
+RUN export LC_CTYPE=C.UTF-8