                                                    cudnn_req[1] <= cudnn_inst[1]):
                  tf_ver = key
                  break
          if tf_ver:
              tf_ver = "tensorflow-gpu=={}.0".format(tf_ver)
              self.required_packages.append(tf_ver)
              return
  
          self.output.warning(
              "Tensorflow currently has no official prebuild for your CUDA, cuDNN "
 
</s> remove TENSORFLOW_REQUIREMENTS = {"1.2": ["8.0", "5.1"],
                           "1.4": ["8.0", "6.0"],
                           "1.12": ["9.0", "7.2"]}
 </s> add TENSORFLOW_REQUIREMENTS = {"==1.2.0": ["8.0", "5.1"],
                           "==1.4.0": ["8.0", "6.0"],
                           "==1.12.0": ["9.0", "7.2"],
                           ">=1.13.1": ["10.0", "7.4"]} </s> remove                          "You may want to execute `chcp 866` in cmd line\n"
 </s> add                          "You may want to execute `chcp 65001` in cmd line\n" </s> remove             "nvidia-docker run -p 8888:8888 \\ \n"
 </s> add             "nvidia-docker run -tid -p 8888:8888 \\ \n" </s> remove # you may want to install tensorflow-gpu==1.4.0 for CUDA 8.0 or tensorflow-gpu>=1.11.0 for CUDA 9.0
 </s> add #    you may want to install tensorflow-gpu==1.4.0 for CUDA 8.0,
#    or 1.6.0<=tensorflow-gpu<=1.13.0 for CUDA 9.0
#    or tensorflow-gpu>=1.13.1 or tf-nightly-gpu for CUDA 10.0
            tf_ver = "tensorflow-gpu{}".format(tf_ver)
                                                    cudnn_req[1] <= cudnn_inst[1]):
                  tf_ver = key
                  break
          if tf_ver:
            tf_ver = "tensorflow-gpu{}".format(tf_ver)
              self.required_packages.append(tf_ver)
              return
  
          self.output.warning(
              "Tensorflow currently has no official prebuild for your CUDA, cuDNN "
keep keep keep keep replace keep keep keep keep keep
 Update Dockerfile due to the missing of jupyter in the latest tensorflow gpu image (#625)

Add tips for CUDA 10 
setup.py