Ubuntu16.04安装DIGITS_6.0
（1）# 针对Ubuntu 16.04系统
CUDA_REPO_PKG=http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
ML_REPO_PKG=http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/nvidia-machine-learning-repo-ubuntu1604_1.0.0-1_amd64.deb
（2）# 安装相关repo
wget "$CUDA_REPO_PKG" -O /tmp/cuda-repo.deb && sudo dpkg -i /tmp/cuda-repo.deb && rm -f /tmp/cuda-repo.deb
wget "$ML_REPO_PKG" -O /tmp/ml-repo.deb && sudo dpkg -i /tmp/ml-repo.deb && rm -f /tmp/ml-repo.deb
（3）# 安装一系列packages
sudo apt-get update
sudo apt-get install --no-install-recommends git graphviz python-dev python-flask python-flaskext.wtf python-gevent python-h5py python-numpy python-pil python-pip python-scipy python-tk
（4）# 安装protobuf
sudo apt-get install autoconf automake libtool curl make g++ git python-dev python-setuptools unzip
export PROTOBUF_ROOT=~/protobuf # 路径根据需要进行修改
git clone https://github.com/google/protobuf.git $PROTOBUF_ROOT -b '3.2.x'
cd $PROTOBUF_ROOT
sudo ./autogen.sh
sudo ./configure
sudo make "-j$(nproc)"
sudo make install
sudo ldconfig
cd python
sudo python setup.py install --cpp_implementation
（5）# 安装Caffe
sudo apt-get install --no-install-recommends build-essential cmake git gfortran libatlas-base-dev libboost-filesystem-dev libboost-python-dev libboost-system-dev libboost-thread-dev libgflags-dev libgoogle-glog-dev libhdf5-serial-dev libleveldb-dev liblmdb-dev libopencv-dev libsnappy-dev python-all-dev python-dev python-h5py python-matplotlib python-numpy python-opencv python-pil python-pip python-pydot python-scipy python-skimage python-sklearn
export CAFFE_ROOT=~/caffe
git clone https://github.com/NVIDIA/caffe.git $CAFFE_ROOT -b 'caffe-0.15'
sudo pip install -r $CAFFE_ROOT/python/requirements.txt
cd $CAFFE_ROOT
sudo mkdir build
cd build
sudo cmake ..
sudo make -j"$(nproc)"
sudo make install
（6）安装DIGITS
DIGITS_ROOT=~/digits # 路径根据需要进行修改
git clone https://github.com/NVIDIA/DIGITS.git $DIGITS_ROOT
sudo pip install -r $DIGITS_ROOT/requirements.txt
sudo pip install -e $DIGITS_ROOT
至此完成！！