code: def setUp(self):
      super().setUp()
      torch.set_rng_state(torch.manual_seed(42).get_state())
  
      self.fake_input_1 = torch.Tensor(
          [[[4, -2], [3, 0]], [[0, 2], [4, 3]], [[3, 1], [5, 2]]]
      ).float()
      self.fake_input_2 = torch.Tensor(
          [[[1, 2], [3, 4]], [[5, 6], [6, 5]], [[4, 3], [2, 1]]]
      ).float()
  
file_path: pytorchvideo/tests/test_layers_fusion.py
imports: import unittest
  import torch
  from pytorchvideo.layers import make_fusion_layer
label_desc: Use image node_id 1 for calling the TestFusion obj's underlying member method code with example usage: obj.setUp() without return types