class_docstr: Simple SimpleMLPMergeModel for testing.
  
  Args:
      output_dim (int): Dimension of the network output.
      name (str): Model name, also the variable scope.
      args (list): Unused positionl arguments.
      kwargs (dict): Unused keyword arguments.
class_docstr_tok: ["Simple","SimpleMLPMergeModel","for","testing",".","Args",":","output_dim","(","int",")",":","Dimension","of","the","network","output",".","name","(","str",")",":","Model","name",",","also","the","variable","scope",".","args","(","list",")",":","Unused","positionl","arguments",".","kwargs","(","dict",")",":","Unused","keyword","arguments","."]
code: def __init__(self, output_dim, *args, name=None, **kwargs):
      del args
      del kwargs
      super().__init__(name)
      self.output_dim = output_dim
  
imports: import tensorflow
  from garage.tf.models import Model
label_desc: Use image node_id 1 to create a new SimpleMLPMergeModel object from inherited base classes: Model with example: obj = SimpleMLPMergeModel(output_dim)