code: def crop_and_flip_image(row):
      # Make sure to use torch.tensor here to avoid a copy from numpy.
      row["image"] = transform(
          torch.tensor(np.transpose(row["image"], axes=(2, 0, 1)))
          / 255.0
      )
      return row
  
imports: import ray
  import torch
  import torchvision
  from torchvision.transforms.functional import pil_to_tensor
  import os
  import tensorflow
  import numpy
  from PIL import Image
  from typing import TYPE_CHECKING, Iterator, Callable, Any
  import pandas
  from benchmark import Benchmark
  import streaming
  from streaming import LocalDataset, StreamingDataset
  from ray.data._internal.delegating_block_builder import DelegatingBlockBuilder
label_desc: Use image node_id 7 for calling a global function with example usage: crop_and_flip_image(row) and returns: row