examples/pytorch_mnist/training/ddp/mnist/Dockerfile.traingpu

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2.2 KiB
Docker
Executable File

FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04
ARG PYTHON_VERSION=3.6
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
cmake \
git \
curl \
vim \
wget \
ca-certificates \
openssh-client \
libjpeg-dev \
libpng-dev &&\
rm -rf /var/lib/apt/lists/*
RUN wget https://www.open-mpi.org/software/ompi/v3.0/downloads/openmpi-3.0.0.tar.gz && \
gunzip -c openmpi-3.0.0.tar.gz | tar xf - && \
cd openmpi-3.0.0 && \
./configure --prefix=/home/.openmpi --with-cuda && \
make all install
ENV PATH="$PATH:/home/.openmpi/bin"
ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/home/.openmpi/lib/"
RUN ompi_info --parsable --all | grep mpi_built_with_cuda_support:value
RUN curl -o ~/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
chmod +x ~/miniconda.sh && \
~/miniconda.sh -b -p /opt/conda && \
rm ~/miniconda.sh && \
/opt/conda/bin/conda update conda && \
/opt/conda/bin/conda install -y python=$PYTHON_VERSION numpy pyyaml scipy ipython mkl mkl-include cython typing && \
/opt/conda/bin/conda clean -ya
ENV PATH /opt/conda/bin:$PATH
# This must be done before pip so that requirements.txt is available
WORKDIR /opt/pytorch
RUN git clone --recursive https://github.com/pytorch/pytorch
# Checkout 1.0rc1 release as latest master seems to have MPI backend detection broken
RUN TORCH_CUDA_ARCH_LIST="3.5 5.2 6.0 6.1 7.0+PTX" TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \
CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" BUILD_ATEN_MOBILE=ON USE_OPENMP=OFF \
cd pytorch/ && git checkout tags/v1.0rc1 && git submodule update --init --recursive && \
pip install -v .
RUN /opt/conda/bin/conda config --set ssl_verify False
RUN pip install --upgrade pip --trusted-host pypi.org --trusted-host files.pythonhosted.org
RUN pip install --trusted-host pypi.org --trusted-host files.pythonhosted.org torchvision
WORKDIR /workspace
RUN chmod -R a+w /workspace
ADD ./mnist_DDP.py /opt/pytorch_dist_mnist/
ENTRYPOINT ["mpirun", "-n", "4", "--allow-run-as-root", "python", "-u", "/opt/pytorch_dist_mnist/mnist_DDP.py", "--gpu", "--modelpath", "/mnt/kubeflow-gcfs/pytorch/model"]