class_docstr: Sequential Model.
  
  Args:
      name (str): Model name, also the variable scope.
      models (list[garage.tf.models.Model]): The models to be connected
          in sequential order.
class_docstr_tok: ["Sequential","Model",".","Args",":","name","(","str",")",":","Model","name",",","also","the","variable","scope",".","models","(","list","[","garage.tf.models.Model","]",")",":","The","models","to","be","connected","in","sequential","order","."]
docstr: Object.__getstate__.
  
  Returns:
      dict: The state to be pickled for the instance.
docstr_tok: ["Object.__getstate__",".","Returns",":","dict",":","The","state","to","be","pickled","for","the","instance","."]
code: def __getstate__(self):
      """Object.__getstate__.
  
      Returns:
          dict: The state to be pickled for the instance.
  
      """
      new_dict = super().__getstate__()
      del new_dict["_first_network"]
      del new_dict["_last_network"]
      return new_dict
  
file_path: garage/src/garage/tf/models/sequential.py
imports: from garage.tf.models.model import Model
label_desc: Use image node_id 7 for calling the Sequential obj's underlying member method code with example usage: obj.__getstate__() and returns: new_dict