code: def get_tensors_inputs(placeholders, tensors, names):
      
      assert len(tensors) == len(names), \
          "Input tensors {} and input names {} have different length!".format(
              tensors, names)
      ret = copy.copy(placeholders)
      placeholder_names = [p.name for p in placeholders]
      for name, tensor in zip(names, tensors):
          tensorname = get_op_tensor_name(name)[1]
          try:
              idx = placeholder_names.index(tensorname)
          except ValueError:
              logger.error("Name {} is not a model input!".format(tensorname))
              raise
          ret[idx] = tensor
      return ret
docs: Args:
          placeholders (list[Tensor]):
          tensors (list[Tensor]): list of tf.Tensor
          names (list[str]): names matching the given tensors
  
      Returns:
          list[Tensor]: inputs to used for the tower function,
              with the corresponding placeholders replaced by tensors.