                                  "Please install this package manually".format(package))
  
      def _tensorflow_dependency_install(self):
          """ Install the Cuda/cuDNN dependencies from Conda when tensorflow is not available
          in Conda """
          # TODO This will need to be more robust if/when we accept multiple Tensorflow Versions
          versions = list(TENSORFLOW_REQUIREMENTS.values())[-1]
          condaexe = ["conda", "search"]
          pkgs = ["cudatoolkit", "cudnn"]
          for pkg in pkgs:
 
</s> remove             chk = Popen(condaexe + [pkg], shell=True, stdout=PIPE)
 </s> add             chk = Popen(condaexe + [pkg], shell=shell, stdout=PIPE) </s> remove         if any(char in package for char in (" ", "<", ">", "*", "|")):
            package = "\"{}\"".format(package)
 </s> add         cuda_cudnn = None </s> remove             self.installed_packages[item[0]] = item[1]
 </s> add             retval[item[0]] = item[1]
        return retval
        in Conda.

        This was used whilst Tensorflow 2.2 was not available for Windows in Conda. It is kept
        here in case it is required again in the future.
        """
                                  "Please install this package manually".format(package))
  
      def _tensorflow_dependency_install(self):
          """ Install the Cuda/cuDNN dependencies from Conda when tensorflow is not available
        in Conda.

        This was used whilst Tensorflow 2.2 was not available for Windows in Conda. It is kept
        here in case it is required again in the future.
        """
          # TODO This will need to be more robust if/when we accept multiple Tensorflow Versions
          versions = list(TENSORFLOW_REQUIREMENTS.values())[-1]
          condaexe = ["conda", "search"]
          pkgs = ["cudatoolkit", "cudnn"]
          for pkg in pkgs:
keep keep keep keep replace keep keep keep keep keep
 Update to TF2.3 (#1100)

* Minimum requirements to tf2.3.
  - Handle upgrades for Windows users with tf2.2 installed by Pip
  - Handle windows upgrade from pip tf2.2
  - Explicitly install Cuda for Conda installs

* Update tensorflow errors api reference
* Suppress AutoGraph warning messages
* Update GUI Stats to work with tf2.3
* Fix live graph for tf2.3
* DSSIMObjective - autoGraph bugfix
* Update Travis test 
setup.py