code: def embed_input(self, feature):
      lay_norm_attr = F.ParamAttr(
          initializer=F.initializer.ConstantInitializer(value=1)
      )
      lay_norm_bias = F.ParamAttr(
          initializer=F.initializer.ConstantInitializer(value=0)
      )
      feature = L.layer_norm(
          feature,
          name="layer_norm_feature_input",
          param_attr=lay_norm_attr,
          bias_attr=lay_norm_bias,
      )
  
      return feature
  
file_path: PGL/ogb_examples/nodeproppred/unimp/model_large.py
imports: import math
  import pgl
  import paddle.fluid
  import paddle.fluid.layers
  from pgl.utils import paddle_helper
  from module.transformer_gat_pgl import transformer_gat_pgl
  from module.model_unimp_large import graph_transformer, linear, attn_appnp
label_desc: Use image node_id 2 for calling the Arxiv_baseline_model obj's underlying member method code with example usage: obj.embed_input(feature) and returns: feature