mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-16 21:00:14 +00:00
5a7f65b831
1. Fix training e2e pipeline. The failure was caused by my recent change #7632. The fix is adding "--cmake_extra_defines CMAKE_CUDA_ARCHITECTURES=70" to the build parameters because the machines are with V100 GPUs. 2. Simplify Nuphar pipeline. It doesn't need to install a separated ONNX version(1.5.0) 3. Fix a problem that run_dockerbuild.sh ignored OS version parameter. Now because it starts to take effect, I also set python version to the system default one(3.8 for ubuntu 20.04)
60 lines
2.1 KiB
Text
60 lines
2.1 KiB
Text
ARG BASEIMAGE=nvcr.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04
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FROM $BASEIMAGE
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ARG PYTHON_VERSION=3.6
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ARG INSTALL_DEPS_EXTRA_ARGS
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ARG USE_CONDA=false
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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_os_deps.sh -d gpu $INSTALL_DEPS_EXTRA_ARGS
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# If USE_CONDA is false, use root to install python dependencies.
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RUN if [ "$USE_CONDA" = false ] ; \
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then /tmp/scripts/install_python_deps.sh -p $PYTHON_VERSION -d gpu $INSTALL_DEPS_EXTRA_ARGS ; \
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fi
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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 $BUILD_USER
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ARG MINICONDA_PREFIX=/home/$BUILD_USER/miniconda3
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RUN if [ "$USE_CONDA" = true ] ; \
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then MINICONDA=miniconda.sh && \
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wget --no-verbose https://repo.anaconda.com/miniconda/Miniconda3-py37_4.9.2-Linux-x86_64.sh -O $MINICONDA && \
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chmod a+x $MINICONDA && \
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./$MINICONDA -b -p $MINICONDA_PREFIX && \
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rm ./$MINICONDA && \
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$MINICONDA_PREFIX/bin/conda clean --yes --all && \
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$MINICONDA_PREFIX/bin/conda install -y python=$PYTHON_VERSION ; \
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fi
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ENV PATH /home/$BUILD_USER/miniconda3/bin:$PATH
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# If USE_CONDA is true, use onnxruntimedev user to install python dependencies
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RUN if [ "$USE_CONDA" = true ] ; \
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then /tmp/scripts/install_python_deps.sh -p $PYTHON_VERSION -d gpu $INSTALL_DEPS_EXTRA_ARGS -c ; \
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fi
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WORKDIR /root
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USER root
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RUN rm -rf /tmp/scripts
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WORKDIR /home/$BUILD_USER
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USER $BUILD_USER
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