code: def rand_init_bn(bn):
      bn.weight.data.uniform_(0.5, 1.5)
      bn.bias.data.uniform_(-0.5, 0.5)
      bn.running_var.data.uniform_(0.5, 1.5)
      bn.running_mean.data.uniform_(-0.5, 0.5)
      return bn
  
imports: import unittest
  import torch
  from pytorchvideo.models.vision_transformers import create_multiscale_vision_transformers
label_desc: Use image node_id 1 for calling a global function with example usage: rand_init_bn(bn) and returns: bn