code: def _build_ln(n_in, name):
      return nn.LayerNorm(
          normalized_shape=n_in,
          weight_attr=P.ParamAttr(
              name="%s_layer_norm_scale" % name
              if name is not None
              else None,
              initializer=nn.initializer.Constant(1.0),
          ),
          bias_attr=P.ParamAttr(
              name="%s_layer_norm_bias" % name
              if name is not None
              else None,
              initializer=nn.initializer.Constant(0.0),
          ),
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import json
  import logging
  import math
  import six
  import numpy
  import paddle
  from paddle import nn
  from paddle.nn import functional
  from disco_diffusion_ernievil_base.vit_b_16x.ernievil2.transformers.file_utils import _fetch_from_remote, add_docstring
label_desc: Use image node_id 3 for calling a global function with example usage: _build_ln(n_in, name) and returns: nn