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Dockerfile
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FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04
MAINTAINER [email protected]
ARG TENSORFLOW_VERSION=1.14.0
ARG TORCH_VERSION=1.1.0
ARG TORCH_VISION_VERSION=0.3.0
ENV LANG=C.UTF-8
RUN apt-get update -y && apt-get install -y --no-install-recommends \
build-essential \
vim \
git \
wget \
curl \
cmake \
unzip \
gcc \
g++ \
automake \
software-properties-common \
libzmq5 \
libblas-dev \
liblapack-dev \
libpcre3 \
libpcre3-dev \
bison \
byacc \
ffmpeg \
libsm6 libxext6 libxrender-dev \
&& apt-get clean
# Install python-3.6
RUN add-apt-repository -y ppa:jonathonf/python-3.6 \
&& apt-get update -y \
&& apt-get install -y python3.6 python3.6-dev \
&& ln -sfn /usr/bin/python3.6 /usr/local/bin/python \
&& ln -sfn /usr/bin/python3.6 /usr/bin/python3 \
&& curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py \
&& python get-pip.py \
&& rm get-pip.py \
&& apt-get autoremove -y \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
# Install TensorFlow
RUN pip --no-cache-dir install tensorflow-gpu==${TENSORFLOW_VERSION}
# Install pytorch and torchvision
RUN pip --no-cache-dir install \
https://download.pytorch.org/whl/cu100/torch-${TORCH_VERSION}-cp36-cp36m-linux_x86_64.whl
RUN pip --no-cache-dir install \
https://download.pytorch.org/whl/cu100/torchvision-${TORCH_VISION_VERSION}-cp36-cp36m-linux_x86_64.whl
# Install faiss
# Need SWIG >= 3.0.8
RUN cd /tmp/ \
&& wget -q https://github.com/swig/swig/archive/rel-3.0.12.tar.gz \
&& tar zxf rel-3.0.12.tar.gz; rm rel-3.0.12.tar.gz && cd swig-rel-3.0.12 \
&& ./autogen.sh; ./configure >/dev/null \
&& make >/dev/null \
&& make install >/dev/null \
&& cd .. && rm -rf swig-rel-3.0.12
# install faiss from source
RUN wget -q https://github.com/facebookresearch/faiss/archive/v1.5.3.tar.gz \
&& tar zxf v1.5.3.tar.gz; rm v1.5.3.tar.gz && cd faiss-1.5.3 \
&& ./configure --with-cuda=/usr/local/cuda-10.0 \
&& make -j 10 \
&& cd python && make \
&& pip --no-cache-dir install . \
&& cd .. && rm -rf faiss-1.5.3 \
&& rm -rf /tmp/*