669  ./Anaconda3-5.0.1-Linux-x86_64.sh 
  670  vim ~/.bashrc
  671  source /home/jinx/.bashrc
  672  conda env list
  673  conda -V
  674  conda create -n python3.6withCaffe python=3.6
  675  conda env list
  676  source activate python3.6withCaffe
  677  conda install ./tensorflow_gpu-1.4.0-cp36-cp36m-linux_x86_64.whl 
  678  pip install tensorflow_gpu-1.4.0-cp36-cp36m-linux_x86_64.whl
  679  pip install torch-0.3.0.post4-cp36-cp36m-linux_x86_64.whl
  680  python
  681  source deactivate
  682  python
  683  pip list
  684  cd ~
  685  vim ./bashrc
  686  vim .bashrc
  687  cd /usr/local/include/
  688  cd /data0/jinx/Software/
  689  cat /usr/local/cuda/version.txt
  690  ls | wc -w
  691  cd ~
  692  vim .bashrc
  693  source .bashrc
  694  cd cuda/include/
  695  sudo cp *.h /usr/local/cuda/include/
  696  logout
  697  exit
  698  tar xzvf cudnn-8.0-linux-x64-v7.tgz 
  699  logout
  700  exit
  701  scp -r /data0/jinx/Software/pycaffe/caffe/ ./
  702  unzip ImageCompression-master.zip 
  703  python
  704  source activate python3.6withCaffe
  705  python
  706  cat /usr/local/cuda/include/cudnn.h | grep CUDNN
  707  cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR
  708  cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2
  709  cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR

  710  cat /usr/local/cuda/include/cudnn.h | grep CUDNN

裝ＴＦ一定用conda install t..f..-gpu.1.4.0，因為他會自動配好ｃｕｄｎｎ。