message: Remove the class _StateManagerImplV2 since it has been copied to Keras.
diff: @@ -404,36 +404,6 @@ class _StateManagerImpl(StateManager):
  return self._cols_to_resources_map[feature_column][resource_name]
  -class _StateManagerImplV2(_StateManagerImpl):
  - """Manages the state of DenseFeatures."""
  -
  - def create_variable(self,
  - feature_column,
  - name,
  - shape,
  - dtype=None,
  - trainable=True,
  - use_resource=True,
  - initializer=None):
  - if name in self._cols_to_vars_map[feature_column]:
  - raise ValueError('Variable already exists.')
  -
  - # We explicitly track these variables since `name` is not guaranteed to be
  - # unique and disable manual tracking that the add_weight call does.
  - with trackable.no_manual_dependency_tracking_scope(self._layer):
  - var = self._layer.add_weight(
  - name=name,
  - shape=shape,
  - dtype=dtype,
  - initializer=initializer,
  - trainable=self._trainable and trainable,
  - use_resource=use_resource)
  - if isinstance(var, trackable.Trackable):
  - self._layer._track_trackable(var, feature_column.name + '/' + name) # pylint: disable=protected-access
  - self._cols_to_vars_map[feature_column][name] = var
  - return var
  -
  -
  def _transform_features_v2(features, feature_columns, state_manager):
  """Returns transformed features based on features columns passed in.
  