          if tf_version[0] > 1 or (tf_version[0] == 1 and tf_version[1] > 12):
              kwargs["update_freq"] = "batch"
          logger.debug(kwargs)
          return kwargs
  
      def print_loss(self, loss):
          """ Override for specific model loss formatting """
 
</s> remove     @property
    def is_macos(self):
        """ Check whether MacOS """
        return bool(platform.system() == "Darwin")

 </s> add  </s> remove         if self.env.enable_cuda and self.env.is_macos:
            self.env.required_packages.extend(self.env.macos_required_packages)
 </s> add  </s> remove             self.required_packages.append("tensorflow==1.13.1")
 </s> add             self.required_packages.append("tensorflow==1.14.0") </s> remove             self.required_packages.append("tensorflow-gpu==1.13.1")
 </s> add             self.required_packages.append("tensorflow-gpu==1.14.0") </s> remove             self.required_packages.append("tensorflow==1.13.1")
 </s> add             self.required_packages.append("tensorflow==1.14.0")
        if tf_version[0] > 1 or (tf_version[0] == 1 and tf_version[1] > 13):
            kwargs["profile_batch"] = 0
          if tf_version[0] > 1 or (tf_version[0] == 1 and tf_version[1] > 12):
              kwargs["update_freq"] = "batch"
        if tf_version[0] > 1 or (tf_version[0] == 1 and tf_version[1] > 13):
            kwargs["profile_batch"] = 0
          logger.debug(kwargs)
          return kwargs
  
      def print_loss(self, loss):
          """ Override for specific model loss formatting """
keep add keep keep keep keep keep
 Tensorflow 1.14 Support


Fix Keras Tensorboard callback for TF1.14
Default install on CPU to TF 1.14.0
Default Conda install to TF 1.14.0
Move pynvx for macOS to conditional requirements.txt 
plugins/train/trainer/_base.py