code: def test_image():
      # return random normal image of size 2x3x32x32 [batch_size, channels, height, width]
      return torch.randn(2, 3, 32, 32)
  
imports: import pytest
  import torch
  from ludwig.constants import IMAGE
  from ludwig.features.image_feature import get_augmentation_op
  from ludwig.schema.features.augmentation.utils import get_augmentation_cls
label_desc: Use image node_id 1 for calling a global function with example usage: test_image() and returns: torch