content: # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  ARG CUDA_VERSION=11.4.2
  ARG OS_VERSION=8
  
  FROM nvidia/cuda:${CUDA_VERSION}-cudnn8-devel-centos${OS_VERSION}
  LABEL maintainer="NVIDIA CORPORATION"
  
  ENV TRT_VERSION 8.2.3.0
  SHELL ["/bin/bash", "-c"]
  
  # Setup user account
  ARG uid=1000
  ARG gid=1000
  RUN groupadd -r -f -g ${gid} trtuser && useradd -o -r -l -u ${uid} -g ${gid} -ms /bin/bash trtuser
  RUN usermod -aG wheel trtuser
  RUN echo 'trtuser:nvidia' | chpasswd
  RUN mkdir -p /workspace && chown trtuser /workspace
  
  # Install requried packages
  RUN yum -y groupinstall "Development Tools"
  RUN yum -y install \
      openssl-devel \
      bzip2-devel \
      libffi-devel \
      zlib-devel \
      wget \
      perl-core \
      git \
      pkg-config \
      unzip \
      sudo
  
  # Install python3
  RUN yum install -y python3-devel
  
  # Install TensorRT
  RUN if [ "${CUDA_VERSION}" = "10.2" ] ; then \
      v="${TRT_VERSION%.*}-1.cuda${CUDA_VERSION}" &&\
      dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/cuda-rhel8.repo &&\
      yum -y install libnvinfer8-${v} libnvparsers8-${v} libnvonnxparsers8-${v} libnvinfer-plugin8-${v} \
          libnvinfer-devel-${v} libnvparsers-devel-${v} libnvonnxparsers-devel-${v} libnvinfer-plugin-devel-${v} \
          python3-libnvinfer-${v}; \
  else \
      v="${TRT_VERSION%.*}-1.cuda${CUDA_VERSION%.*}" &&\
      dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/cuda-rhel8.repo &&\
      yum -y install libnvinfer8-${v} libnvparsers8-${v} libnvonnxparsers8-${v} libnvinfer-plugin8-${v} \
          libnvinfer-devel-${v} libnvparsers-devel-${v} libnvonnxparsers-devel-${v} libnvinfer-plugin-devel-${v} \
          python3-libnvinfer-${v}; \
  fi
  
  # Install PyPI packages
  RUN pip3 install --upgrade pip
  RUN pip3 install setuptools>=41.0.0
  RUN pip3 install numpy
  COPY requirements.txt /tmp/requirements.txt
  RUN pip3 install -r /tmp/requirements.txt
  RUN pip3 install jupyter jupyterlab
  
  # Install Cmake
  RUN cd /tmp && \
      wget https://github.com/Kitware/CMake/releases/download/v3.14.4/cmake-3.14.4-Linux-x86_64.sh && \
      chmod +x cmake-3.14.4-Linux-x86_64.sh && \
      ./cmake-3.14.4-Linux-x86_64.sh --prefix=/usr/local --exclude-subdir --skip-license && \
      rm ./cmake-3.14.4-Linux-x86_64.sh
  
  # Download NGC client
  RUN cd /usr/local/bin && wget https://ngc.nvidia.com/downloads/ngccli_cat_linux.zip && unzip ngccli_cat_linux.zip && chmod u+x ngc && rm ngccli_cat_linux.zip ngc.md5 && echo "no-apikey\nascii\n" | ngc config set
  
  RUN ln -s /usr/bin/python3 /usr/bin/python
  
  # Set environment and working directory
  ENV TRT_LIBPATH /usr/lib/x86_64-linux-gnu
  ENV TRT_OSSPATH /workspace/TensorRT
  ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:${TRT_OSSPATH}/build/out:${TRT_LIBPATH}"
  WORKDIR /workspace
  
  USER trtuser
  RUN ["/bin/bash"]
  