message: refine add_layernorm  line coverage ut
diff: @@ -1308,16 +1308,19 @@ class Tester(TestCase):
  self.assertTrue(any(n.kind() == node for n in trace_graph.nodes()))
  # test norm dim is not last dim, expect RuntimeError
  - # here in the case, norm dim is mid dim with seq_len size, not the last dim
  + # here in the a/b error input case, norm dim is mid dim but last dim is seq_len
  # which is expected as unsupported RuntimeError
  try:
  - model_except_error = AddLayerNorm(seq_len)
  - torch.jit.trace(model_except_error,(a, b))
  + model_except_error = AddLayerNorm(dim)
  + model_except_error = torch.jit.trace(model_except_error,(a, b))
  + a_error = torch.randn(bs, dim, seq_len)
  + b_error = torch.randn(bs, dim, seq_len)
  + model_except_error(a_error, b_error)
  #it is not excepted if no RuntimeError exception is found
  #so end with assert
  self.assertTrue(False)
  except RuntimeError as e:
  - expected_error = f"Given normalized_shape=[{seq_len}], expected input with shape [*, {seq_len}]"
  + expected_error = f"Given normalized_shape=[{dim}], expected input with shape [*, {dim}]"
  self.assertTrue(expected_error in str(e))
  logging.info("expected RuntimeError is found")
  finally:
  