# Tag: nvidia/cuda:11.6.1-cudnn8-devel-ubuntu20.04
# Label: com.nvidia.cuda.version: 11.6.1
# Label: com.nvidia.cudnn.version: 8.4.0
# Ubuntu 20.04
FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04

ARG PYTHON_VERSION=3.8
ARG DEBIAN_FRONTEND=noninteractive

ADD scripts /tmp/scripts
RUN /tmp/scripts/install_ubuntu.sh -p $PYTHON_VERSION && /tmp/scripts/install_os_deps.sh && /tmp/scripts/install_python_deps.sh -p $PYTHON_VERSION && rm -rf /tmp/scripts

# Install TensorRT
RUN v="8.5.1-1+cuda11.8" &&\
    apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub &&\
    apt-get update &&\
    sudo apt-get install -y libnvinfer8=${v} libnvonnxparsers8=${v} libnvparsers8=${v} libnvinfer-plugin8=${v} \
        libnvinfer-dev=${v} libnvonnxparsers-dev=${v} libnvparsers-dev=${v} libnvinfer-plugin-dev=${v} \
        python3-libnvinfer=${v} libnvinfer-samples=${v}

WORKDIR /root

# Allow configure to pick up GDK and CuDNN where it expects it.
# (Note: $CUDNN_VERSION is defined by NVidia's base image)
RUN _CUDNN_VERSION=$(echo $CUDNN_VERSION | cut -d. -f1-2) && \
    mkdir -p /usr/local/cudnn-$_CUDNN_VERSION/cuda/include && \
    ln -s /usr/include/cudnn.h /usr/local/cudnn-$_CUDNN_VERSION/cuda/include/cudnn.h && \
    mkdir -p /usr/local/cudnn-$_CUDNN_VERSION/cuda/lib64 && \
    ln -s /etc/alternatives/libcudnn_so /usr/local/cudnn-$_CUDNN_VERSION/cuda/lib64/libcudnn.so && \
    ln -s /usr/local/cudnn{-$_CUDNN_VERSION,}

ARG BUILD_USER=onnxruntimedev
ARG BUILD_UID=1000
WORKDIR /home/$BUILD_USER
RUN adduser --gecos 'onnxruntime Build User' --disabled-password $BUILD_USER --uid $BUILD_UID
USER $BUILD_USER