class_docstr: A module that builds on top of model.
  
  Args:
      name (str): Module name, also the variable scope.
docstr: Get param values.
  
  Returns:
      np.ndarray: Values of the parameters evaluated in
          the current session
docstr_tok: ["Get","param","values",".","Returns",":","np.ndarray",":","Values","of","the","parameters","evaluated","in","the","current","session"]
code: def get_param_values(self):
      """Get param values.
  
      Returns:
          np.ndarray: Values of the parameters evaluated in
              the current session
  
      """
      params = self.get_params()
      param_values = tf.compat.v1.get_default_session().run(params)
      return flatten_tensors(param_values)
  
imports: import abc
  import tensorflow
  from garage.np import flatten_tensors, unflatten_tensors
label_desc: Use image node_id 12 for calling the Module obj's underlying member method code with example usage: obj.get_param_values() and returns: flatten_tensors