code: def __init__(self, size, interpolation=Image.BILINEAR):
      self.size = int(size)
      self.interpolation = 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 1 to create a new Warp object from inherited base classes: object with example: obj = Warp(size, interpolation)