code: def get_bias_attr(k):
      stdv = 1.0 / math.sqrt(k * 1.0)
      initializer = paddle.nn.initializer.Uniform(-stdv, stdv)
      bias_attr = ParamAttr(initializer=initializer)
      return bias_attr
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import paddle
  from paddle import nn
  import paddle.nn.functional
  from paddle import ParamAttr
  from ppocr.modeling.backbones.det_mobilenet_v3 import ConvBNLayer
label_desc: Use image node_id 1 for calling a global function with example usage: get_bias_attr(k) and returns: bias_attr