code: def get_imagenet_input():
      im = get_real_image(224, 224)
      preprocess = get_transform()
      pt_tensor = preprocess(im)
      return np.expand_dims(pt_tensor.numpy(), 0)
  
file_path: tvm/gallery/how_to/deploy_models/deploy_prequantized.py
imports: from PIL import Image
  import numpy
  import torch
  from torchvision.models.quantization import mobilenet
  import tvm
  from tvm import relay
  from tvm.contrib.download import download_testdata
label_desc: Use image node_id 3 for calling a global function with example usage: get_imagenet_input() and returns: np