class_docstr: Simple GRUModel for testing.
  
  Args:
      output_dim (int): Dimension of the network output.
      hidden_dim (int): Hidden dimension for GRU cell.
      name (str): Model name, also the variable scope.
      args (list): Unused positionl arguments.
      kwargs (dict): Unused keyword arguments.
code: def __init__(
      self,
      output_dim,
      hidden_dim,
      *args,
      name="SimpleGRUModel",
      **kwargs,
  ):
      del args
      del kwargs
      super().__init__(name)
      self.output_dim = output_dim
      self.hidden_dim = hidden_dim
  
imports: import tensorflow
  from garage.tf.models import Model
label_desc: Use image node_id 1 to create a new SimpleGRUModel object from inherited base classes: Model with example: obj = SimpleGRUModel(output_dim, hidden_dim)