          return config
  
  
  # Update layers into Keras custom objects
  for name, obj in inspect.getmembers(sys.modules[__name__]):
      if inspect.isclass(obj) and obj.__module__ == __name__:
          keras.utils.get_custom_objects().update({name: obj})
 
</s> remove         A list of all :class:`keras.models.Model` objects found within the given model. The
        provided model will always be returned in the first position
 </s> add         A list of all :class:`tensorflow.keras.models.Model` objects found within the given model.
        The provided model will always be returned in the first position </s> remove     model: :class:`keras.models.Model`
 </s> add     model: :class:`tensorflow.keras.models.Model` </s> remove class _GlobalPooling2D(keras.layers.Layer):  # type:ignore[name-defined]
    """Abstract class for different global pooling 2D layers.
 </s> add class SubPixelUpscaling(tf.keras.layers.Layer):
    """ Sub-pixel convolutional up-scaling layer. </s> remove     def _load(self) -> keras.models.Model:
 </s> add     def _load(self) -> tf.keras.models.Model: </s> remove         if self.data_format == 'channels_last':
            pooled = K.std(inputs, axis=[1, 2])
        else:
            pooled = K.std(inputs, axis=[2, 3])
        return pooled

 </s> add 
for name_, obj in inspect.getmembers(sys.modules[__name__]):
          return config
  
  
  # Update layers into Keras custom objects
for name_, obj in inspect.getmembers(sys.modules[__name__]):
      if inspect.isclass(obj) and obj.__module__ == __name__:
          keras.utils.get_custom_objects().update({name: obj})
keep keep keep keep replace keep keep
 Training fixes:
  - Fix mixed precision layer storing and switching
  - typofix in _requirements_base.txt
  - lib.model.layers - cleanup, docs and tests fixes
  - lib.model.nn_blocks - typing fixes 
lib/model/layers.py