def METHOD_NAME(args, feed):
  if isinstance(args, tuple):
    return [METHOD_NAME(x, feed) for x in args]
  else:
    x = ops.convert_to_tensor(args).eval()
    fake = array_ops.placeholder(np.asarray(x).dtype)
    feed[fake] = x
    return fake