message: add input bf16, weight fp32 case for add layernorm
diff: @@ -1318,6 +1318,19 @@ class Tester(TestCase):
  self.assertTrue(any(n.kind() == node for n in trace_graph.nodes()))
  self.assertEqual(jit_res, ori_res)
  + #input bf16, weight fp32
  + a_bf16 = a.to(torch.bfloat16)
  + b_bf16 = b.to(torch.bfloat16)
  + with torch.cpu.amp.autocast():
  + ori_res = model(a_bf16, b_bf16)
  + model_jit = jit_model = torch.jit.trace(model,(a, b))
  + trace_graph = jit_model.graph_for(a, b)
  + jit_res = jit_model(a_bf16, b_bf16)
  + node = "ipex::add_layernorm"
  + self.assertTrue(any(n.kind() == node for n in trace_graph.nodes()))
  + self.assertEqual(jit_res, ori_res, prec=5e-2)
  +
  + #input weight both bf16
  a_bf16 = a.to(torch.bfloat16)
  b_bf16 = b.to(torch.bfloat16)
  w_bf16 = w.to(torch.bfloat16)
  