              List of header file locations to scan for cuDNN versions
          """
          # TODO A more reliable way of getting the windows location
          if not self.cuda_path:
              return list()
          scandir = os.path.join(self.cuda_path, "include")
          cudnn_checkfiles = [os.path.join(scandir, header) for header in self._cudnn_header_files]
          return cudnn_checkfiles
  
  
 
</s> remove             tf_ver = "tensorflow-gpu{}".format(tf_ver)
 </s> add             tf_ver = f"tensorflow-gpu{tf_ver}" </s> remove         with open(cudnn_checkfile, "r") as ofile:
 </s> add         with open(cudnn_checkfile, "r", encoding="utf8") as ofile: </s> remove         self.c_1 = (self.k_1 * self.max_value) ** 2
        self.c_2 = (self.k_2 * self.max_value) ** 2
        self.dim_ordering = K.image_data_format()

    @staticmethod
    def _int_shape(input_tensor):
        """ Returns the shape of tensor or variable as a tuple of int or None entries.

        Parameters
        ----------
        input_tensor: tensor or variable
            The input to return the shape for

        Returns
        -------
        tuple
            A tuple of integers (or None entries)
        """
        return K.int_shape(input_tensor)
 </s> add  </s> remove         preds = dict()
 </s> add         preds = {} </s> remove     dir_contents = list()
 </s> add     dir_contents = []
            return []
              List of header file locations to scan for cuDNN versions
          """
          # TODO A more reliable way of getting the windows location
          if not self.cuda_path:
            return []
          scandir = os.path.join(self.cuda_path, "include")
          cudnn_checkfiles = [os.path.join(scandir, header) for header in self._cudnn_header_files]
          return cudnn_checkfiles
  
  
keep keep keep keep replace keep keep keep keep keep
 Update code to support Tensorflow versions up to 2.8 (#1213)

* Update maximum tf version in setup + requirements

* - bump max version of tf version in launcher
- standardise tf version check

* update keras get_custom_objects  for tf>2.6

* bugfix: force black text in GUI file dialogs (linux)

* dssim loss - Move to stock tf.ssim function

* Update optimizer imports for compatibility

* fix logging for tf2.8

* Fix GUI graphing for TF2.8

* update tests

* bump requirements.txt versions

* Remove limit on nvidia-ml-py

* Graphing bugfixes
  - Prevent live graph from displaying if data not yet available

* bugfix: Live graph. Collect loss labels correctly

* fix: live graph - swallow inconsistent loss errors

* Bugfix: Prevent live graph from clearing during training

* Fix graphing for AMD 
setup.py