code: def conv_init_(module):
      bound = 1 / np.sqrt(np.prod(module.weight.shape[1:]))
      uniform_(module.weight, -bound, bound)
      if module.bias is not None:
          uniform_(module.bias, -bound, bound)
  
imports: import math
  import numpy
  import paddle
  import paddle.nn
label_desc: Use image node_id 18 for calling a global function with example usage: conv_init_(module) without return types