code: def test_ordinal_parse_visible_devices(self):
      def _device_count_nvml(val):
          from torch.cuda import _device_count_nvml as _dc
  
          with patch.dict(
              os.environ, {"CUDA_VISIBLE_DEVICES": val}, clear=True
          ):
              return _dc()
  
      with patch.object(
          torch.cuda, "_raw_device_count_nvml", return_value=2
      ):
          self.assertEqual(_device_count_nvml("1, 0"), 2)
          # Ordinal out of bounds aborts parsing
          self.assertEqual(_device_count_nvml("1, 5, 0"), 1)
  
file_path: pytorch/test/test_cuda_nvml_based_avail.py
imports: import os
  import sys
  import multiprocessing
  import torch
  import unittest
  from unittest.mock import patch
label_desc: Use image node_id 3 for calling the TestVisibleDeviceParses obj's underlying member method code with example usage: obj.test_ordinal_parse_visible_devices() and returns: _dc