code: def test_image():
      # return random normal batch of images of size 2x3x32x32 [batch_size, channels, height, width]
      return torch.randn(2, 3, 32, 32)
  
imports: import copy
  import logging
  import os
  import tempfile
  from typing import Dict, List
  import pytest
  import torch
  from ludwig.api import LudwigModel
  from ludwig.constants import IMAGENET1K
  from ludwig.data.dataset_synthesizer import cli_synthesize_dataset
  from ludwig.error import ConfigValidationError
  from ludwig.features.image_feature import ImageAugmentation
  from ludwig.schema.features.image_feature import ImageInputFeatureConfig
label_desc: Use image node_id 1 for calling a global function with example usage: test_image() and returns: torch