code: def trunc_normal(param, **kwargs):
      r"""The Random TruncatedNormal (Gaussian) distribution initializer.
      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, 4)
          param_init.trunc_normal(linear.weight)
      """
  
      initializer = nn.initializer.TruncatedNormal(std=0.02, **kwargs)
      initializer(param, param.block)
  
imports: import paddle.nn
label_desc: Use image node_id 5 for calling a global function with example usage: trunc_normal(param) without return types