code: def test_regression(self):
      tries = 32
      device_cpu = torch.device("cpu")
      device_cuda = torch.device("cuda:0")
      batch_sizes = np.random.randint(low=1, high=128, size=tries)
  
      for batch_size in batch_sizes:
          self._test_det_3x3(batch_size, device_cpu)
          self._test_det_3x3(batch_size, device_cuda)
  
file_path: pytorch3d/tests/test_common_workaround.py
imports: import unittest
  import numpy
  import torch
  from pytorch3d.common.workaround import _safe_det_3x3
  from .common_testing import TestCaseMixin
label_desc: Use image node_id 5 for calling the TestSafeDet3x3 obj's underlying member method code with example usage: obj.test_regression() without return types