code: def __call__(self, img):
      return img.resize((self.size, self.size), self.interpolation)
  
file_path: pretrained-models.pytorch/pretrainedmodels/datasets/utils.py
imports: from __future__ import print_function, division, absolute_import
  import math
  from six.moves.urllib.request import urlretrieve
  import torch
  from PIL import Image
  from tqdm import tqdm
label_desc: Use image node_id 2 for calling the Warp obj's underlying member method code with example usage: obj.__call__(img) and returns: img