code: def test_image_classification_batch():
      out = image_classification(
          [image_classification_image] * 2,
          [image_classification_labels] * 2,
      )
  
      assert isinstance(out, list), "Output is not a list"
  
      for out in out:
          assert len(out.keys()) == len(
              image_classification_labels
          ), "Incorrect number of labels"
          assert image_classification_correct == max(
              out, key=out.get
          ), "Classification is severely wrong"
  
imports: from backprop import Emotion, ImageClassification, QA, Summarisation, TextClassification, TextGeneration, TextVectorisation
  import numpy
  import torch
  import os
label_desc: Use image node_id 14 for calling a global function with example usage: test_image_classification_batch() without return types