code: def test_torch(self):
      import torch
  
      def gen_random_output():
          model = torch.nn.Linear(3, 2)
          x = torch.rand(1, 3)
          return model(x).detach().numpy()
  
      with temp_seed(42, set_pytorch=True):
          out1 = gen_random_output()
      with temp_seed(42, set_pytorch=True):
          out2 = gen_random_output()
      out3 = gen_random_output()
  
      np.testing.assert_equal(out1, out2)
      self.assertGreater(np.abs(out1 - out3).sum(), 0)
  
imports: import time
  from dataclasses import dataclass
  from multiprocessing import Pool
  from unittest import TestCase
  from unittest.mock import patch
  import multiprocess
  import numpy
  import pytest
  from datasets.utils.py_utils import NestedDataStructure, asdict, iflatmap_unordered, map_nested, temp_seed, temporary_assignment, zip_dict
  from .utils import require_tf, require_torch
label_desc: Use image node_id 2 for calling the TempSeedTest obj's underlying member method code with example usage: obj.test_torch() and returns: model