class_docstr: Denormalizes a tensor using provided mean, std
class_docstr_tok: ["Denormalizes","a","tensor","using","provided","mean",",","std"]
code: def __call__(self, tensor):
      for t, m, s in zip(tensor, self.mean, self.std):
          t.mul_(s).add_(m)
      return tensor
  
imports: import random
  import torch
  from torchvision.transforms.functional import to_tensor
  import numpy
  from ..utils import th_random_choice
label_desc: Use image node_id 2 for calling the DeNormalize obj's underlying member method code with example usage: obj.__call__(tensor) and returns: tensor