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tg_base.Dockerfile
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#####install google cloud sdk to be able to push/pull
#export CLOUD_SDK_REPO="cloud-sdk-$(lsb_release -c -s)"
#echo "deb http://packages.cloud.google.com/apt $CLOUD_SDK_REPO main" | sudo tee /etc/apt/sources.list.d/google-cloud-sdk.list
#apt-get install curl
#curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -
#sudo apt-get update && sudo apt-get install google-cloud-sdk
#gcloud init
### install nvidia-docker
#wget -P /tmp https://github.com/NVIDIA/nvidia-docker/releases/download/v1.0.0-rc.3/nvidia-docker_1.0.0.rc.3-1_amd64.deb
#sudo dpkg -i /tmp/nvidia-docker*.deb && rm /tmp/nvidia-docker*.deb
## Test nvidia-smi
#nvidia-docker run --rm nvidia/cuda nvidia-smi
###on receiving machine:
###install python pip (for pyopenssl)
#apt-get install python-pip
#pip install pyopenssl
###build this image using tg:base tag (so that all the other dockerfiles FROM line works
#nvidia-docker build -t tg/base:1 -f tg_base.Dockerfile .
#nvidia-docker build -t tg/caffe:1 -f cuda-tg-caffe.Dockerfile .
#nvidia-docker build -t tg/all_machine_learning:1 -f tg_all_machine_learning.Dockerfile .
###push by installing gcloud sdk then along lines of:
#docker tag tg:base eu.gcr.io/test-paper-doll/tg/base:1
#gcloud docker push eu.gcr.io/test-paper-doll/tg/base:1
#maybe just docker push eu.gcr.io/test-paper-doll/tg/base:1
###pull using
#docker run --rm -ti --volumes-from gcloud-config google/cloud-sdk gcloud auth print-access-token
#docker pull eu.gcr.io/test-paper-doll/tg/base:1
#docker pull eu.gcr.io/test-paper-doll/tg/base:all_machine_learning
###run using something along the lines of:
#nvidia-docker run -v /home/jeremy/caffenets:/home/jeremy/caffenets -v /home/jeremy/image_dbs:/home/jeremy/image_dbs -it --name jr2 tg/caffe:1 /bin/bash
# where -v links directories bet. container and host #
#use --net=host to allow for localhost being forwarded, then you can also use -e to pass env. variable such as one generated by
#export MONGO_HOST=localhost
#nvidia-docker run --net=host -it -v /data:/data --name mongo_test eu.gcr.io/test-paper-doll/tg/base_all_machine_learning:1 bash
#if you did the port forwards on the host then the same ports should be ok from with the container
# get baremetal hostname info into docker env variable with -e
#nvidia-docker run -e HOST_HOSTNAME=`hostname` -it -v /home/jeremy:/home/jeremy tg/base_all_machine_learning:1 bash
#nvidia-docker run -e DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix -v $HOME/.Xauthority:/home/developer/.Xauthority --name sharp3 -e HOST_HOSTNAME=`hostname` -it -v /home/jeremy:/home/jeremy eu.gcr.io/test-paper-doll/tg/base:all_machine_learning bash
#if this is happening on a gpu machine -
#FROM nvidia/cuda:7.5-cudnn5-runtime
#see https://github.com/NVIDIA/nvidia-docker/issues/153 - we want devel, runtime is if we have deb/rpm/pip packages compiled for the project...
#FROM nvidia/cuda:7.5-cudnn5-devel
#FROM nvidia/cuda:7.5-cudnn5-devel-ubuntu14.04 #causes cv2 import error
#FROM nvidia/cuda:7.5-cudnn5-devel #causes cv2 import error
#possibly should be nvidia/cuda:7.5-cudnn5-devel-ubuntu14.04 or nvidia/cuda:7.5-cudnn5-runtime. but devel is what;s used in the theano file
#otherwise -
FROM ubuntu:14.04
# To prevent `debconf: unable to initialize frontend: Dialog` error
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHON_VERSION 2.7
ENV OPENCV_VERSION 3.1.0
ENV NUM_CORES 32
RUN NUM_CORES=$(nproc)
########
#if you run into trouble with i386 requirements do this first: (the libc6 was something i happened to need)
#RUN dpkg --add-architecture i386
#RUN apt-get update
#RUN apt-get install libc6-dbg
#RUN apt-get install libc6-dbg:i386
RUN apt-get update && \
apt-get install -y --no-install-recommends \
ca-certificates \
pkg-config \
build-essential \
libfreetype6-dev \
libpng12-dev \
wget \
python$PYTHON_VERSION-dev \
unzip \
cmake \
git \
ssh \
libatlas-base-dev \
libboost-all-dev \
gfortran \
libtbb2 \
libtbb-dev \
libjasper-dev \
libgtk2.0-dev \
libavcodec-dev \
libavformat-dev \
libswscale-dev \
libjpeg-dev \
libtiff-dev \
libhdf5-dev \
nano \
screen \
&& rm -rf /var/lib/apt/lists/*
RUN wget https://bootstrap.pypa.io/get-pip.py
RUN python get-pip.py
RUN pip install numpy matplotlib
#dlib
WORKDIR /
RUN git clone https://github.com/davisking/dlib.git
WORKDIR /dlib
RUN python setup.py install --yes USE_AVX_INSTRUCTIONS
#OpenCV
WORKDIR /
RUN wget https://github.com/Itseez/opencv/archive/${OPENCV_VERSION}.zip -O opencv3.zip
RUN unzip -q opencv3.zip
RUN mv /opencv-${OPENCV_VERSION} /opencv
RUN rm opencv3.zip
#RUN wget https://github.com/Itseez/opencv_contrib/archive/${OPENCV_VERSION}.zip -O opencv_contrib3.zip
#RUN unzip -q opencv_contrib3.zip
#RUN mv /opencv_contrib-${OPENCV_VERSION} /opencv_contrib
#RUN rm opencv_contrib3.zip
RUN mkdir /opencv/build
WORKDIR /opencv/build
RUN cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=$(python -c "import sys; print(sys.prefix)") \
# -D OPENCV_EXTRA_MODULES_PATH=/opencv_contrib/modules \
-D PYTHON_EXECUTABLE=$(which python) \
-D BUILD_EXAMPLES=OFF \
-D INSTALL_C_EXAMPLES=OFF \
-D INSTALL_PYTHON_EXAMPLES=OFF \
-D INSTALL_TESTS=OFF \
-D BUILD_opencv_java=OFF \
-D WITH_IPP=OFF \
-D WITH_TBB=ON \
-D BUILD_NEW_PYTHON_SUPPORT=ON \
-D WITH_QT=OFF ..
#cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=$(python -c "import sys; print(sys.prefix)") -D PYTHON_EXECUTABLE=$(which python) -D BUILD_EXAMPLES=OFF -D INSTALL_C_EXAMPLES=OFF -D INSTALL_PYTHON_EXAMPLES=OFF -D INSTALL_TESTS=OFF -D BUILD_opencv_java=OFF -D WITH_IPP=OFF -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_QT=OFF ..
#RUN make -j$NUM_CORES #hit error: The command '/bin/sh -c make -j$NUM_CORES' returned a non-zero code: 2
RUN make -j24
RUN make install && make clean
RUN ldconfig
#for some reason the cv2.so isnt put anywhere useful.
#RUN ln -s /opencv/build/lib/cv2.so /usr/lib/python2.7/dist-packages/ #this is necessary for debian, breaks ubuntu
WORKDIR /
COPY requirements.txt .
RUN pip install -r requirements.txt
# Get the maxmind geoip db. TODO: have this auto-update
WORKDIR /usr/local/lib/python2.7/dist-packages/maxminddb
RUN wget http://geolite.maxmind.com/download/geoip/database/GeoLite2-Country.mmdb.gz
RUN gzip -d GeoLite2-Country.mmdb.gz
WORKDIR /
# Make ssh dir
RUN mkdir /root/.ssh/
# Copy over private key, and set permissions
COPY id_rsa /root/.ssh/id_rsa
# Create known_hosts
RUN touch /root/.ssh/known_hosts
# Add bitbucket key
RUN ssh-keyscan bitbucket.org >> /root/.ssh/known_hosts
RUN ssh-keyscan github.com >> /root/.ssh/known_hosts
RUN chmod 400 ~/.ssh/id_rsa
#hitting host key verification failed in following line
RUN git clone git@bitbucket.org:trendiGuru/rq-tg.git && pip install -e rq-tg
RUN git clone git@github.com:trendiguru/core.git /usr/lib/python2.7/dist-packages/trendi
#things that didnt come up in requirements.txt for whatever reason
RUN apt-get update
#making life easier for jr
#add a crontab line to run auto progress plots
RUN echo "0,20,40 * * * * /usr/lib/python2.7/trendi/classifier_stuff/auto_progress_plots.sh" >> /var/spool/cron/crontabs/root
RUN ln -s /usr/lib/python2.7/dist-packages/trendi/classifier_stuff/caffe_nns/jrlayers.py /root/caffe/python
RUN ln -s /usr/lib/python2.7/dist-packacges/trendi/classifier_stuff/caffe_nns/surgery.py /root/caffe/python
RUN ln -s /usr/lib/python2.7/dist-packages/trendi/classifier_stuff/caffe_nns/score.py /root/caffe/python
RUN alias gp='git -C /usr/lib/python2.7/dist-packages/trendi pull'
RUN alias l='ls -ltr'
CMD ["bash"]