code: def test_initialize_pytorch_without_gpu(mock_torch):
      mock_torch.cuda.is_available.return_value = True
      mock_torch.cuda.device_count.return_value = 4
      with clean_params():
          initialize_pytorch(gpus=-1)
      assert os.environ["CUDA_VISIBLE_DEVICES"] == ""
  
file_path: ludwig/tests/ludwig/utils/test_torch_utils.py
imports: import contextlib
  import os
  from typing import List
  from unittest.mock import patch
  import pytest
  import torch
  from ludwig.utils.torch_utils import _get_torch_init_params, _set_torch_init_params, initialize_pytorch, sequence_length_2D, sequence_length_3D
label_desc: Use image node_id 8 for calling a global function with example usage: test_initialize_pytorch_without_gpu(mock_torch) without return types