          if get_backend() == "amd" and not self._setup_amd(arguments):
              safe_shutdown(got_error=True)
  
      @classmethod
      def _setup_amd(cls, arguments):
          """ Test for plaidml and perform setup for AMD.
  
          Parameters
          ----------
          arguments: :class:`argparse.Namespace`
 
</s> remove     assert ((_BACKEND == "cpu" and keras.__version__ in ("2.4.0", "2.6.0", "2.7.0", "2.8.0")) or
 </s> add     assert ((_BACKEND == "cpu" and keras.__version__ in ("2.7.0", "2.8.0", "2.9.0")) or </s> remove     def _amd_predict_with_optimized_batchsizes(self, feed, batch_size):
 </s> add     def _amd_predict_with_optimized_batchsizes(
            self,
            feed: Union[List[np.ndarray], np.ndarray],
            batch_size: int) -> Union[List[np.ndarray], np.ndarray]: </s> remove     def execute_script(self, arguments):
 </s> add     def execute_script(self, arguments: "argparse.Namespace") -> None:
    def _setup_amd(cls, arguments: "argparse.Namespace") -> bool:
          if get_backend() == "amd" and not self._setup_amd(arguments):
              safe_shutdown(got_error=True)
  
      @classmethod
    def _setup_amd(cls, arguments: "argparse.Namespace") -> bool:
          """ Test for plaidml and perform setup for AMD.
  
          Parameters
          ----------
          arguments: :class:`argparse.Namespace`
keep keep keep keep replace keep keep keep keep keep
 Update TF to 2.9
    - Update TF to 2.7 to 2.9
    - Bump dependencies
    - Remove decode from pynvml calls
    - force keras predict functions to non-verbose
    - update tests
    - update Tensorboard logging
    - Update docs 
lib/cli/launcher.py