Dockerfile.ubuntu_tensorrt

# Tag: nvcr.io/nvidia/tensorrt:19.06-py3
# Label: com.nvidia.cuda.version: 10.1.168
# Label: com.nvidia.cudnn.version: 7.6.0
# Ubuntu 16.04
FROM nvcr.io/nvidia/tensorrt:19.06-py3

ARG PYTHON_VERSION=3.5

ADD scripts /tmp/scripts
RUN /tmp/scripts/install_ubuntu.sh -p ${PYTHON_VERSION} && /tmp/scripts/install_deps.sh && rm -rf /tmp/scripts \
    && rm /usr/local/bin/cmake && rm /usr/local/bin/ctest && rm -r /usr/local/share/cmake-3.12

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,}

ENV LD_LIBRARY_PATH /usr/local/openblas/lib:$LD_LIBRARY_PATH

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