  # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  # SOFTWARE.
  
  
  _NAME_TRACKER = set()
  
  
  def _get_name(name: str, start_idx: int = 1) -> str:
      """ Auto numbering to keep track of layer names.
  
 
</s> remove     no_amd: bool = False
    tf_min: Tuple[int, int] = (2, 0)
    scaling: Tuple[int, int] = (0, 1)
 </s> add     tf_min: T.Tuple[int, int] = (2, 0)
    scaling: T.Tuple[int, int] = (0, 1) </s> remove         policy = dict(class_name="Policy", config=dict(name=dtype))
 </s> add         policy = {"class_name": "Policy", "config": {"name": dtype}} </s> remove                  model_path: List[str],
 </s> add                  model_path: T.List[str], </s> remove                  exclude_gpus: Optional[List[int]],
 </s> add                  exclude_gpus: T.Optional[T.List[int]], </s> remove             retval = KerasModel(model_inputs, model, name=f"{saved_model.name}_inference")
 </s> add             retval = KModel(model_inputs, model, name=f"{saved_model.name}_inference")
_NAME_TRACKER: T.Set[str] = set()
  # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  # SOFTWARE.
  
  
_NAME_TRACKER: T.Set[str] = set()
  
  
  def _get_name(name: str, start_idx: int = 1) -> str:
      """ Auto numbering to keep track of layer names.
  
keep keep keep keep replace keep keep keep keep keep
 Remove plaidML support (#1325)

* Remove PlaidML reference from readme files

* Remove AMD option from installers

* remove amd requirements and update setup.py

* remove plaidml test from CI workflow

* gpustats: remove plaidml backend

* plaid removals:
  - faceswap.py - python version check
  - setup.cfg - plaidml typing ignore
  - lib.keras_utils - All plaid code
  - lib.launcher.py - All plaidml checks and configuration

* remove tf2.2 specific code from GUI event reader

* lib.model - remove all plaidml implementations

* plugins.extract - remove plaidml code

* plugins.train remove plaidml code

* lib.convert - remove plaidml code

* tools.model: remove plaidml code

* Remove plaidML tests from unit tests

* remove plaidml_utils and docsting cleanups

* Remove plaidML refs from configs

* fix keras imports 
plugins/extract/mask/bisenet_fp.py