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https://github.com/saymrwulf/onnxruntime.git
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d8139814fd
Update training Python packaging build to use get_docker_image.py. Remove BUILD_EXTR_PAR docker build argument. Update get_docker_image.py to check again for the image in the cache after building and before pushing to reduce the chance of a redundant push.
28 lines
1.1 KiB
Text
28 lines
1.1 KiB
Text
FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04
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ARG PYTHON_VERSION=3.6
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ARG INSTALL_DEPS_EXTRA_ARGS
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ADD scripts /tmp/scripts
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RUN /tmp/scripts/install_ubuntu.sh -p $PYTHON_VERSION && \
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/tmp/scripts/install_deps.sh -p $PYTHON_VERSION -d gpu $INSTALL_DEPS_EXTRA_ARGS && \
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rm -rf /tmp/scripts
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WORKDIR /root
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# Allow configure to pick up GDK and CuDNN where it expects it.
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# (Note: $CUDNN_VERSION is defined by NVidia's base image)
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RUN _CUDNN_VERSION=$(echo $CUDNN_VERSION | cut -d. -f1-2) && \
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mkdir -p /usr/local/cudnn-$_CUDNN_VERSION/cuda/include && \
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ln -s /usr/include/cudnn.h /usr/local/cudnn-$_CUDNN_VERSION/cuda/include/cudnn.h && \
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mkdir -p /usr/local/cudnn-$_CUDNN_VERSION/cuda/lib64 && \
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ln -s /etc/alternatives/libcudnn_so /usr/local/cudnn-$_CUDNN_VERSION/cuda/lib64/libcudnn.so && \
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ln -s /usr/local/cudnn{-$_CUDNN_VERSION,}
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ENV LD_LIBRARY_PATH /usr/local/openblas/lib:$LD_LIBRARY_PATH
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ARG BUILD_USER=onnxruntimedev
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ARG BUILD_UID=1000
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RUN adduser --gecos 'onnxruntime Build User' --disabled-password $BUILD_USER --uid $BUILD_UID
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WORKDIR /home/$BUILD_USER
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USER $BUILD_USER
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