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FROM nvidia/cuda:8.0-cudnn5-devel-ubuntu16.04
LABEL maintainer [email protected]
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
cmake \
git \
wget \
libatlas-base-dev \
libboost-all-dev \
libgflags-dev \
libgoogle-glog-dev \
libhdf5-serial-dev \
libleveldb-dev \
liblmdb-dev \
libopencv-dev \
libprotobuf-dev \
libsnappy-dev \
protobuf-compiler \
python-dev \
python-numpy \
python-pip \
python-setuptools \
python-scipy && \
rm -rf /var/lib/apt/lists/*
ENV CAFFE_ROOT=/opt/caffe
WORKDIR $CAFFE_ROOT
# FIXME: use ARG instead of ENV once DockerHub supports this
ENV CLONE_TAG=rc4
RUN git clone -b ${CLONE_TAG} --depth 1 https://github.com/BVLC/caffe.git . && \
pip install --upgrade pip && \
cd python && for req in $(cat requirements.txt) pydot; do pip install $req; done && cd .. && \
git clone https://github.com/NVIDIA/nccl.git && cd nccl && make -j install && cd .. && rm -rf nccl && \
mkdir build && cd build && \
cmake -DUSE_CUDNN=1 -DUSE_NCCL=1 .. && \
make -j"$(nproc)"
ENV PYCAFFE_ROOT $CAFFE_ROOT/python
ENV PYTHONPATH $PYCAFFE_ROOT:$PYTHONPATH
ENV PATH $CAFFE_ROOT/build/tools:$PYCAFFE_ROOT:$PATH
RUN echo "$CAFFE_ROOT/build/lib" >> /etc/ld.so.conf.d/caffe.conf && ldconfig
WORKDIR /workspace