code: def __call__(self, input, target):
      losses = {}
      for k in self.model_name_list:
          inp = input[k]
          losses[k] = self._crossentropy(inp, target)
      return losses
  
imports: import paddle
  import paddle.nn.functional
label_desc: Use image node_id 2 for calling the LossDistill obj's underlying member method code with example usage: obj.__call__(input, target) and returns: losses