code: def __init__(self):
      self.x = self.preprocess_image()
      # image net 1k classes
      class_id = 463
      self.y = torch.tensor([class_id]).long()
      self.y_onehot = F.one_hot(self.y, 1000)
      self.x_test, self.y_test = self.x, self.y
  
file_path: CrypTen/benchmarks/data.py
imports: import os
  from pathlib import Path
  import crypten
  import PIL
  import torch
  import torch.nn.functional
  from sklearn.datasets import make_classification
  from sklearn.model_selection import train_test_split
  from torchvision import transforms
label_desc: Use image node_id 1 to create a new Images object  with example: obj = Images()