parameters: (self)
return_statement: return self._control_inputs
docstring: The `Operation` objects on which this op has a control dependency.
  
      Before this op is executed, TensorFlow will ensure that the
      operations in `self.control_inputs` have finished executing. This
      mechanism can be used to run ops sequentially for performance
      reasons, or to ensure that the side effects of an op are observed
      in the correct order.
  
      Returns:
        A list of `Operation` objects.
docstring_summary: The `Operation` objects on which this op has a control dependency.
docstring_tokens: The Operation objects on which this op has a control dependency .
function: def control_inputs(self):
      """The `Operation` objects on which this op has a control dependency.
  
      Before this op is executed, TensorFlow will ensure that the
      operations in `self.control_inputs` have finished executing. This
      mechanism can be used to run ops sequentially for performance
      reasons, or to ensure that the side effects of an op are observed
      in the correct order.
  
      Returns:
        A list of `Operation` objects.
  
      """
      return self._control_inputs
function_tokens: def control_inputs ( self ) : return self . _control_inputs