code: def bias_init_with_prob(prior_prob):
      """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 copy
  import math
  import warnings
  import numpy
  import torch
  import torch.nn
  from torch import Tensor
  from annotator.uniformer.mmcv.utils import Registry, build_from_cfg, get_logger, print_log
label_desc: Use image node_id 9 for calling a global function with example usage: bias_init_with_prob(prior_prob) and returns: bias_init