code: def __getitem__(self, idx):
      label = self.label_list[idx]
      img = np.random.randint(
          0, 255, size=(112, 112, 3), dtype=np.uint8
      )
      img = transform(img)
  
      img = img.astype("float16" if self.fp16 else "float32")
      label = np.int32(label)
  
      return img, label
  
imports: import pickle
  import paddle
  import os
  import cv2
  import six
  import random
  import paddle
  import numpy
  import logging
  from PIL import Image
  from io import BytesIO
  from datasets.kv_helper import read_img_from_bin
label_desc: Use image node_id 2 for calling the SyntheticDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: img,  label