onnxruntime/tools/ci_build/github/linux/docker/Dockerfile.ubuntu_tensorrt
baijumeswani cab84d902e
Install and use conda on ortmodule CI pipelines (#7530)
* Install and use conda on ortmodule CI pipelines

* Update build script to install onnxruntime wheel before running unit tests

* Remove python 3.5 from install_python_deps

* Pinning deepspeed version to 0.3.15
2021-05-03 15:52:22 -07:00

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# Tag: nvcr.io/nvidia/tensorrt:20.12-py3
# Label: com.nvidia.cuda.version: 11.1.1
# Label: com.nvidia.cudnn.version: 8.0.5
# Ubuntu 20.04
FROM nvcr.io/nvidia/tensorrt:20.12-py3
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 \
&& rm /usr/local/bin/cmake && rm /usr/local/bin/ctest && rm -r /usr/local/share/cmake-3.14
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