  logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
  _INSTALL_FAILED = False
  # Revisions of tensorflow GPU and cuda/cudnn requirements. These relate specifically to the
  # Tensorflow builds available from pypi
  _TENSORFLOW_REQUIREMENTS = {">=2.4.0,<2.5.0": ["11.0", "8.0"],
                              ">=2.5.0,<2.9.0": ["11.2", "8.1"]}
  # Packages that are explicitly required for setup.py
  _INSTALLER_REQUIREMENTS = [("pexpect>=4.8.0", "!Windows"), ("pywinpty==2.0.2", "Windows")]
  
  # Mapping of Python packages to their conda names if different from pip or in non-default channel
  _CONDA_MAPPING: Dict[str, Tuple[str, str]] = {
 
</s> remove             and slower performance. Default: False
        exclude_gpus: list, optional
 </s> add             and slower performance
        exclude_gpus: list </s> remove         allow_growth: bool, optional
 </s> add         allow_growth: bool </s> remove             ``None`` to not exclude any GPUs. Default: ``None``
 </s> add             ``None`` to not exclude any GPUs </s> remove         names = [pynvml.nvmlDeviceGetName(handle).decode("utf-8")
 </s> add         names = [pynvml.nvmlDeviceGetName(handle) </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
_TENSORFLOW_REQUIREMENTS = {">=2.7.0,<2.10.0": ["11.2", "8.1"]}
  logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
  _INSTALL_FAILED = False
  # Revisions of tensorflow GPU and cuda/cudnn requirements. These relate specifically to the
  # Tensorflow builds available from pypi
_TENSORFLOW_REQUIREMENTS = {">=2.7.0,<2.10.0": ["11.2", "8.1"]}
_TENSORFLOW_REQUIREMENTS = {">=2.7.0,<2.10.0": ["11.2", "8.1"]}
  # Packages that are explicitly required for setup.py
  _INSTALLER_REQUIREMENTS = [("pexpect>=4.8.0", "!Windows"), ("pywinpty==2.0.2", "Windows")]
  
  # Mapping of Python packages to their conda names if different from pip or in non-default channel
  _CONDA_MAPPING: Dict[str, Tuple[str, str]] = {
keep keep keep keep replace 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 
setup.py