code: def bias_init_with_prob(prior_prob=0.01):
      """initialize conv/fc bias value according to a given probability value."""
      bias_init = float(-np.log((1 - prior_prob) / prior_prob))
      return bias_init
  
imports: import math
  import numpy
  import paddle
  import paddle.nn
label_desc: Use image node_id 19 for calling a global function with example usage: bias_init_with_prob(prior_prob) and returns: bias_init