code: def test_003_stop(self):
      if not torch.cuda.is_available():
          return
  
      params = {
          "model": "segmentation_spleen",
          "max_epochs": 5,
          "name": "net_test_03",
          "multi_gpu": False,
          "dataset": "CacheDataset",
      }
      response = self.client.post("/train/", json=params)
      assert response.status_code == 200
  
      time.sleep(5)
  
      response = self.client.delete("/train/")
      assert response.status_code == 200
  
file_path: MONAILabel/tests/unit/endpoints/test_train.py
imports: import time
  import unittest
  import torch
  from .context import BasicBundleTestSuite, BasicDetectionBundleTestSuite, BasicEndpointV2TestSuite
label_desc: Use image node_id 3 for calling the TestEndPointTrain obj's underlying member method code with example usage: obj.test_003_stop() without return types