class_docstr: A module that builds on top of model.
  
  Args:
      name (str): Module name, also the variable scope.
docstr: Unflatten tensors according to their respective shapes.
  
  Args:
      flattened_params (np.ndarray): A numpy array of flattened params.
  
  Returns:
      List[np.ndarray]: A list of parameters reshaped to the
          shapes specified.
docstr_tok: ["Unflatten","tensors","according","to","their","respective","shapes",".","Args",":","flattened_params","(","np.ndarray",")",":","A","numpy","array","of","flattened","params",".","Returns",":","List","[","np.ndarray","]",":","A","list","of","parameters","reshaped","to","the","shapes","specified","."]
code: def flat_to_params(self, flattened_params):
      """Unflatten tensors according to their respective shapes.
  
      Args:
          flattened_params (np.ndarray): A numpy array of flattened params.
  
      Returns:
          List[np.ndarray]: A list of parameters reshaped to the
              shapes specified.
  
      """
      return unflatten_tensors(
          flattened_params, self.get_param_shapes()
      )
  
imports: import abc
  import tensorflow
  from garage.np import flatten_tensors, unflatten_tensors
label_desc: Use image node_id 14 for calling the Module obj's underlying member method code with example usage: obj.flat_to_params(flattened_params) and returns: unflatten_tensors