code: def __call__(self, *inputs):
      shear = random.uniform(-self.shear_range, self.shear_range)
      if self.lazy:
          return Shear(shear, lazy=True)(inputs[0])
  
      outputs = Shear(shear, interp=self.interp)(*inputs)
      return outputs
  
imports: import math
  import random
  import torch
  from ..utils import th_affine2d, th_random_choice
label_desc: Use image node_id 2 for calling the RandomShear obj's underlying member method code with example usage: obj.__call__() and returns: outputs, Shear