class_docstr: A module that builds on top of model.
  
  Args:
      name (str): Module name, also the variable scope.
docstr: Set param values.
  
  Args:
      param_values (np.ndarray): A numpy array of parameter values.
docstr_tok: ["Set","param","values",".","Args",":","param_values","(","np.ndarray",")",":","A","numpy","array","of","parameter","values","."]
code: def set_param_values(self, param_values):
      """Set param values.
  
      Args:
          param_values (np.ndarray): A numpy array of parameter values.
  
      """
      param_values = unflatten_tensors(
          param_values, self.get_param_shapes()
      )
      for param, value in zip(self.get_params(), param_values):
          param.load(value)
  
imports: import abc
  import tensorflow
  from garage.np import flatten_tensors, unflatten_tensors
label_desc: Use image node_id 13 for calling the Module obj's underlying member method code with example usage: obj.set_param_values(param_values) without return types