      def _url_partial_size(self):
          """ Return how many bytes have already been downloaded """
          zip_file = self._model_zip_path
          retval = os.path.getsize(zip_file) if os.path.exists(zip_file) else 0
          logger.trace(retval)
          return retval
  
      def get(self):
          """ Check the model exists, if not, download and unzip into location """
          if self._model_exists:
 
</s> remove             logger.debug("Model exists: %s", self._model_path)
 </s> add             self.logger.debug("Model exists: %s", self._model_path) </s> remove         logger.trace("Download url: %s", retval)
 </s> add         self.logger.trace("Download url: %s", retval) </s> remove         logger.trace(retval)
 </s> add         self.logger.trace(retval) </s> remove         logger.trace(retval)
 </s> add         self.logger.trace(retval) </s> remove         logger.trace(retval)
 </s> add         self.logger.trace(retval)
        self.logger.trace(retval)
      def _url_partial_size(self):
          """ Return how many bytes have already been downloaded """
          zip_file = self._model_zip_path
          retval = os.path.getsize(zip_file) if os.path.exists(zip_file) else 0
        self.logger.trace(retval)
          return retval
  
      def get(self):
          """ Check the model exists, if not, download and unzip into location """
          if self._model_exists:
keep keep keep keep replace keep keep keep keep keep
 Experimental AMD Support (#764)

* PlaidML support in setup.py

* Add AMD flag for plaidml support

* PlaidML - Use .plaidML file if present, otherwise default to largest available

* Update training info message for GUI

* Add AMD option to Windows Installer

* Add quiet keras.backend importer and minor sysinfo amend.

* plug PlaidMLStats into GPUStats

* Update Docs 
lib/utils.py