code: def test_strongsort_forward_predict_mode(self, cfg_file, devices):
      message_hub = MessageHub.get_instance(
          f"test_strongsort_forward_predict_mode-{time.time()}"
      )
      message_hub.update_info("iter", 0)
      message_hub.update_info("epoch", 0)
  
      assert all([device in ["cpu", "cuda"] for device in devices])
  
      for device in devices:
          _model = get_detector_cfg(cfg_file)
          _model.detector.neck.out_channels = 1
          _model.detector.neck.num_csp_blocks = 1
          _model.detector.bbox_head.in_channels = 1
          _model.detector.bbox_head.feat_channels = 1
          _model.reid.backbone.depth = 18
          _model.reid.head.in_channels = 512
          _model.reid.head.fc_channels = 1
          _model.reid.head.out_channels = 1
          _model.reid.head.num_classes = 2
          _model.cmc = None
          model = MODELS.build(_model)
  
          if device == "cuda":
              if not torch.cuda.is_available():
                  return unittest.skip(
                      "test requires GPU and torch+cuda"
                  )
              model = model.cuda()
  
          packed_inputs = demo_track_inputs(
              batch_size=1,
              num_frames=2,
              image_shapes=[(3, 256, 256)],
              num_classes=1,
          )
          out_data = model.data_preprocessor(packed_inputs, False)
  
          # Test forward test
          model.eval()
          with torch.no_grad():
              batch_results = model.forward(**out_data, mode="predict")
              assert len(batch_results) == 1
  
file_path: mmdetection/tests/test_models/test_mot/test_strong_sort.py
imports: import time
  import unittest
  from unittest import TestCase
  import torch
  from mmengine.logging import MessageHub
  from mmengine.registry import init_default_scope
  from parameterized import parameterized
  from mmdet.registry import MODELS
  from mmdet.testing import demo_track_inputs, get_detector_cfg
label_desc: Use image node_id 3 for calling the TestDeepSORT obj's underlying member method code with example usage: obj.test_strongsort_forward_predict_mode(cfg_file, devices) and returns: unittest