code: def test_manual(self):
      t = torch.Tensor(
          [
              [[1, 0, 0], [0, 1, 0], [0, 0, 1]],
              [[2, -5, 3], [0, 7, -2], [-1, 4, 1]],
              [[6, 1, 1], [4, -2, 5], [2, 8, 7]],
          ]
      ).to(dtype=torch.float32)
      expected_det = torch.Tensor([1, 41, -306]).to(dtype=torch.float32)
      self.assertClose(_safe_det_3x3(t), expected_det)
  
      device_cuda = torch.device("cuda:0")
      self.assertClose(
          _safe_det_3x3(t.to(device=device_cuda)),
          expected_det.to(device=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 4 for calling the TestSafeDet3x3 obj's underlying member method code with example usage: obj.test_manual() without return types