code: def random_scale(partial, scale_range=[0.8, 1.2]):
      scale = (
          torch.rand(1).cuda() * (scale_range[1] - scale_range[0])
          + scale_range[0]
      )
      return partial * scale
  
imports: import numpy
  import matplotlib.pyplot
  from mpl_toolkits.mplot3d import Axes3D
  import random
  import torch
  import torch.nn
  import torch.nn.functional
  import os
  from collections import abc
label_desc: Use image node_id 13 for calling a global function with example usage: random_scale(partial, scale_range) and returns: unknown