code: def get_transform():
      import torchvision.transforms as transforms
  
      normalize = transforms.Normalize(
          mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
      )
      return transforms.Compose(
          [
              transforms.Resize(256),
              transforms.CenterCrop(224),
              transforms.ToTensor(),
              normalize,
          ]
      )
  
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 1 for calling a global function with example usage: get_transform() and returns: transforms