code: def __init__(
      self,
      learning_rate=0.001,
      epsilon=1e-08,
      rho=0.95,
      parameter_list=None,
      weight_decay=None,
      grad_clip=None,
      name=None,
      **kwargs,
  ):
      self.learning_rate = learning_rate
      self.epsilon = epsilon
      self.rho = rho
      self.parameter_list = parameter_list
      self.learning_rate = learning_rate
      self.weight_decay = weight_decay
      self.grad_clip = grad_clip
      self.name = name
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  from paddle import optimizer
label_desc: Use image node_id 1 to create a new Adadelta object from inherited base classes: object with example: obj = Adadelta(learning_rate, epsilon, rho, parameter_list, weight_decay, grad_clip, name)