tensorflow_hub/feature_column.py [153:166]:
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  @property
  def name(self):
    """Returns string. Used for variable_scope and naming."""
    if not hasattr(self, "_name"):
      key_name = self.key if isinstance(self.key, str) else self.key.name
      self._name = "{}_hub_module_embedding".format(key_name)
    return self._name

  def create_state(self, state_manager):
    """Imports the module along with all variables."""
    # Note: state_manager._trainable is not public but is the pattern used
    # to propagate the "trainable" state that used to be received via
    # self._get_dense_tensor.
    trainable = self.trainable and state_manager._trainable  # pylint: disable=protected-access
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tensorflow_hub/feature_column_v2.py [106:119]:
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  @property
  def name(self):
    """Returns string. Used for variable_scope and naming."""
    if not hasattr(self, "_name"):
      key_name = self.key if isinstance(self.key, str) else self.key.name
      self._name = "{}_hub_module_embedding".format(key_name)
    return self._name

  def create_state(self, state_manager):
    """Imports the module along with all variables."""
    # Note: state_manager._trainable is not public but is the pattern used
    # to propagate the "trainable" state that used to be received via
    # self._get_dense_tensor.
    trainable = self.trainable and state_manager._trainable  # pylint: disable=protected-access
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