code: def test_tsm_resnet_flow(self):
      num_class = 2
      num_segments = 1
      modality = "Flow"
      is_shift = True
      non_local = True
      pretrain = False
      input_tensor = torch.randn(2, 10, 32, 32)
      model = TSN(
          num_class=num_class,
          num_segments=num_segments,
          modality=modality,
          is_shift=is_shift,
          non_local=non_local,
          pretrain=pretrain,
      )
      out = model(input_tensor)
      self.assertTrue(out.shape == torch.Size([2, 2]))
  
file_path: towhee/tests/unittests/models/tsm/test_tsm.py
imports: import torch
  import unittest
  from towhee.models.tsm.tsm import TSN
label_desc: Use image node_id 2 for calling the TSMTest obj's underlying member method code with example usage: obj.test_tsm_resnet_flow() without return types