如何清理/最大限度地减lessdockerfile中构buildopencv的容器的存储使用情况

鉴于我的docker文件

FROM nvidia/cuda:8.0-cudnn6-devel-ubuntu14.04 RUN apt-get update # disable interactive functions ENV DEBIAN_FRONTEND noninteractive #################Install MiniConda and other dependencies########## ENV CONDA_DIR /opt/conda ENV PATH $CONDA_DIR/bin:$PATH ENV OPENBLAS_NUM_THREADS $(nproc) RUN mkdir -p $CONDA_DIR && \ echo export PATH=$CONDA_DIR/bin:'$PATH' > /etc/profile.d/conda.sh && \ apt-get update -y && \ apt-get install -y \ wget \ git \ g++ \ graphviz \ software-properties-common \ python-software-properties \ python3-dev \ libhdf5-dev \ libopenblas-dev \ liblapack-dev \ libblas-dev \ libtbb2 \ libtbb-dev && \ apt-get -qq install -y \ build-essential \ unzip \ cmake \ pkg-config \ libjpeg8-dev \ libtiff4-dev \ libjasper-dev \ libpng12-dev \ libgtk2.0-dev \ libavcodec-dev \ libavformat-dev \ libswscale-dev \ libv4l-dev \ libatlas-base-dev \ gfortran && \ rm -rf /var/lib/apt/lists/* && \ wget --quiet https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \ /bin/bash /Miniconda3-latest-Linux-x86_64.sh -f -b -p $CONDA_DIR && \ rm Miniconda3-latest-Linux-x86_64.sh #########################MPI########################### RUN cd /tmp && \ wget "https://www.open-mpi.org/software/ompi/v2.1/downloads/openmpi-2.1.1.tar.gz" && \ tar xzf openmpi-2.1.1.tar.gz && \ cd openmpi-2.1.1 && \ ./configure --with-cuda && make -j"$(nproc)" install # && ldconfig #######################NCCL########################### ENV CPATH /usr/local/cuda/include:/usr/local/include:$CPATH RUN cd /usr/local && git clone https://github.com/NVIDIA/nccl.git && cd nccl && \ sed -i '/NVCC_GENCODE ?=/a \ -gencode=arch=compute_30,code=sm_30 \\' Makefile && \ make CUDA_HOME=/usr/local/cuda -j"$(nproc)" && \ make install && ldconfig ######### Compile for devices with cuda compute compatibility 3 (eg GRID K520 on aws) second line above # UNCOMMENT line below to compile for GPUs with cuda compute compatibility 3.0 # sed -i '/NVCC_GENCODE ?=/a \ -gencode=arch=compute_30,code=sm_30 \\' Makefile && \ ########## ###################Setup User########################## ENV NB_USER chainer ENV NB_UID 1000 RUN useradd -m -s /bin/bash -N -u $NB_UID $NB_USER -g sudo -p $(perl -e'print crypt("chainer", "aa")') && \ mkdir -p $CONDA_DIR && \ chown chainer $CONDA_DIR -R && \ mkdir -p /src && \ chown -R chainer /src # mkdir -p /opencv && \ # chown -R chainer /opencv && \ # mkdir -p /opencv_contrib && \ # chown -R chainer /opencv_contrib ####################Python 3######################### ARG python_version=3.5.2 RUN conda install -y python=${python_version} && \ pip install -U pip && \ conda install Pillow scikit-learn notebook pandas matplotlib mkl nose pyyaml six h5py && \ pip install numpy && \ pip install chainer && \ pip install chainercv && \ # pip install opencv-python && \ pip install pyyaml && \ conda clean -yt # pip install -U pip && \ # # conda install Pillow scikit-learn notebook pandas matplotlib mkl nose pyyaml six h5py && \ # # # pip install mpi4py && \ # pip install cython && \ # # pip install chainer && \ # pip install chainercv && \ # pip install chainermn && \ ENV PYTHONPATH $CONDA_DIR/lib/python3.5/site-packages/:$PYTHONPATH ENV PYTHONPATH /src/:$PYTHONPATH WORKDIR /src ##OPENCV## RUN wget https://github.com/Itseez/opencv/archive/3.3.0.zip -O opencv3.zip && \ unzip -q opencv3.zip && mv /src/opencv-3.3.0 /opencv && \ wget https://github.com/Itseez/opencv_contrib/archive/3.3.0.zip -O opencv_contrib3.zip && \ unzip -q opencv_contrib3.zip && mv /src/opencv_contrib-3.3.0 /opencv_contrib RUN rm -r -f /opencv/build && mkdir /opencv/build && \ cd /opencv/build && \ cmake -D CMAKE_BUILD_TYPE=RELEASE \ -D BUILD_PYTHON_SUPPORT=ON \ -D CMAKE_INSTALL_PREFIX=$CONDA_DIR \ -D PYTHON3_LIBRARY=$CONDA_DIR/lib/python3.5 \ -D PYTHON3_INCLUDE_DIRS=$CONDA_DIR/include/python3.5m \ -D PYTHON3_EXECUTABLE=$CONDA_DIR/bin/python3 \ -D PYTHON3_PACKAGES_PATH=$CONDA_DIR/lib/python3.5/site-packages \ -D WITH_TBB=ON \ -D INSTALL_C_EXAMPLES=OFF \ -D INSTALL_PYTHON_EXAMPLES=OFF \ -D OPENCV_EXTRA_MODULES_PATH=/opencv_contrib/modules \ -D BUILD_EXAMPLES=OFF \ -D BUILD_NEW_PYTHON_SUPPORT=ON \ -D WITH_IPP=OFF \ -D WITH_V4L=ON .. && \ make -j"$(nproc)" && \ make install && \ ldconfig ###################################################### USER chainer 

它最终在15GB的大小。

我可以做些什么来减less所有自我build构的东西发生的大小？ 可以再次删除吗？