code: def test_001_batch_infer(self):
      if not torch.cuda.is_available():
          return
  
      model = "deepedit_seg"
      images = "labeled"
      response = self.client.post(
          f"/batch/infer/{model}?images={images}&run_sync=true"
      )
      assert response.status_code == 200
  
file_path: MONAILabel/tests/unit/endpoints/test_batch_infer.py
imports: import unittest
  import torch
  from .context import BasicEndpointTestSuite
label_desc: Use image node_id 1 for calling the EndPointScoring obj's underlying member method code with example usage: obj.test_001_batch_infer() without return types