code: def test_torch_to_numpy(numpy_data, torch_data):
      converted_data = torch_to_numpy(torch_data)
      assert np.allclose(converted_data[0], numpy_data[0])
      assert np.allclose(converted_data[1], numpy_data[1])
  
file_path: traintool/tests/image_classification/test_preprocessing.py
imports: import comet_ml
  import pytest
  import numpy
  import torch
  from conftest import create_dataset, create_image
  from traintool.image_classification.preprocessing import recognize_data_format, torch_to_numpy, numpy_to_torch, files_to_numpy, files_to_torch, load_image, recognize_image_format, get_num_classes
label_desc: Use image node_id 9 for calling a global function with example usage: test_torch_to_numpy(numpy_data, torch_data) without return types