code: def uniform_init(param, **kwargs):
      """
      Initialize the `param` with uniform distribution.
  
      Args:
          param (Tensor): Tensor that needs to be initialized.
  
      Examples:
  
          from paddleseg.cvlibs import param_init
          import paddle.nn as nn
  
          linear = nn.Linear(2, 2)
          param_init.uniform_init(linear.bias,  low=-0.5, high=0。5)
          print(linear.bias.numpy())
          # result is [-0.2734719   0.23939109]
  
      """
      initializer = nn.initializer.Uniform(**kwargs)
      initializer(param, param.block)
  
file_path: PaddleSeg/paddleseg/cvlibs/param_init.py
imports: import paddle.nn
  import math
label_desc: Use image node_id 1 for calling a global function with example usage: uniform_init(param) without return types