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Dockerfile
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# From https://github.com/ufoym/deepo/blob/master/docker/Dockerfile.pytorch-py36-cu90
# ==================================================================
# module list
# ------------------------------------------------------------------
# python 3.6 (apt)
# pytorch latest (pip)
# ==================================================================
FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04
RUN APT_INSTALL="apt-get install -y --no-install-recommends" && \
PIP_INSTALL="python -m pip --no-cache-dir install --upgrade" && \
GIT_CLONE="git clone --depth 10" && \
rm -rf /var/lib/apt/lists/* \
/etc/apt/sources.list.d/cuda.list \
/etc/apt/sources.list.d/nvidia-ml.list && \
apt-get update && \
# ==================================================================
# tools
# ------------------------------------------------------------------
DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
build-essential \
ca-certificates \
cmake \
wget \
git \
vim \
fish \
libsparsehash-dev \
&& \
# ==================================================================
# python
# ------------------------------------------------------------------
DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
software-properties-common \
&& \
add-apt-repository ppa:deadsnakes/ppa && \
apt-get update && \
DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
python3.6 \
python3.6-dev \
&& \
wget -O ~/get-pip.py \
https://bootstrap.pypa.io/get-pip.py && \
python3.6 ~/get-pip.py && \
ln -s /usr/bin/python3.6 /usr/local/bin/python3 && \
ln -s /usr/bin/python3.6 /usr/local/bin/python && \
$PIP_INSTALL \
setuptools \
&& \
$PIP_INSTALL \
numpy \
scipy \
matplotlib \
Cython \
&& \
# ==================================================================
# pytorch
# ------------------------------------------------------------------
$PIP_INSTALL \
torch_nightly -f \
https://download.pytorch.org/whl/nightly/cu90/torch_nightly.html \
&& \
$PIP_INSTALL \
torchvision_nightly \
&& \
# ==================================================================
# config & cleanup
# ------------------------------------------------------------------
ldconfig && \
apt-get clean && \
apt-get autoremove && \
rm -rf /var/lib/apt/lists/* /tmp/* ~/*
RUN PIP_INSTALL="python -m pip --no-cache-dir install --upgrade" && \
$PIP_INSTALL \
shapely fire pybind11 tensorboardX protobuf \
scikit-image numba pillow
WORKDIR /root
RUN wget https://dl.bintray.com/boostorg/release/1.68.0/source/boost_1_68_0.tar.gz
RUN tar xzvf boost_1_68_0.tar.gz
RUN cp -r ./boost_1_68_0/boost /usr/include
RUN rm -rf ./boost_1_68_0
RUN rm -rf ./boost_1_68_0.tar.gz
RUN git clone https://github.com/traveller59/second.pytorch.git --depth 10
RUN git clone https://github.com/traveller59/SparseConvNet.git --depth 10
RUN cd ./SparseConvNet && python setup.py install && cd .. && rm -rf SparseConvNet
ENV NUMBAPRO_CUDA_DRIVER=/usr/lib/x86_64-linux-gnu/libcuda.so
ENV NUMBAPRO_NVVM=/usr/local/cuda/nvvm/lib64/libnvvm.so
ENV NUMBAPRO_LIBDEVICE=/usr/local/cuda/nvvm/libdevice
ENV PYTHONPATH=/root/second.pytorch
VOLUME ["/root/data"]
VOLUME ["/root/model"]
WORKDIR /root/second.pytorch/second
ENTRYPOINT ["fish"]