code: def test_deepedit(self):
      if not torch.cuda.is_available():
          return
  
      model = "deepedit"
      image = "Video_2_VTS_01_1_Trim_04-40_f600"
  
      response = requests.post(
          f"{SERVER_URI}/infer/{model}?image={image}"
      )
      assert response.status_code == 200
  
file_path: MONAILabel/tests/integration/endoscopy/test_infer.py
imports: import unittest
  import requests
  import torch
  from tests.integration import SERVER_URI
label_desc: Use image node_id 3 for calling the EndPointInfer obj's underlying member method code with example usage: obj.test_deepedit() without return types