mirror of https://github.com/kubeflow/examples.git
45 lines
1.9 KiB
Docker
45 lines
1.9 KiB
Docker
FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04
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ARG PYTHON_VERSION=3.6
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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cmake \
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git \
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curl \
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vim \
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ca-certificates \
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openssh-client \
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libjpeg-dev \
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libpng-dev &&\
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rm -rf /var/lib/apt/lists/*
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RUN curl -o ~/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
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chmod +x ~/miniconda.sh && \
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~/miniconda.sh -b -p /opt/conda && \
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rm ~/miniconda.sh && \
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/opt/conda/bin/conda install -y python=$PYTHON_VERSION numpy pyyaml scipy ipython mkl mkl-include cython typing && \
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/opt/conda/bin/conda install -y -c pytorch magma-cuda90 && \
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/opt/conda/bin/conda install -c conda-forge openmpi && \
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/opt/conda/bin/conda clean -ya
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ENV PATH /opt/conda/bin:$PATH
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# This must be done before pip so that requirements.txt is available
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WORKDIR /opt/pytorch
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#COPY . .
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RUN git clone --recursive https://github.com/pytorch/pytorch
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#RUN git submodule update --init --recursive
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# Checkout 1.0rc1 release as latest master seems to have MPI backend detection broken
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RUN TORCH_CUDA_ARCH_LIST="3.5 5.2 6.0 6.1 7.0+PTX" TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \
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CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" \
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cd pytorch/ && git checkout tags/v1.0rc1 && git submodule update --init --recursive && \
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pip install -v .
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RUN /opt/conda/bin/conda config --set ssl_verify False
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RUN pip install --upgrade pip --trusted-host pypi.org --trusted-host files.pythonhosted.org
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RUN pip install --trusted-host pypi.org --trusted-host files.pythonhosted.org torchvision
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WORKDIR /workspace
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RUN chmod -R a+w /workspace
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ADD ./mnist_DDP.py /opt/pytorch_dist_mnist/
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ENTRYPOINT ["mpirun", "-n", "4", "--allow-run-as-root", "python", "-u", "/opt/pytorch_dist_mnist/mnist_DDP.py", "--modelpath", "/mnt/kubeflow-gcfs/pytorch/model"]
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