code: def testIgnoreInvalidReconfiguration(self):
      pool = Pool()
      pool.set(
          "model/Placeholder", numpy.ones((1, 1, 1, 1), dtype="float32")
      )
  
      model_name = join(filedir(), "tensorflowpredict", "identity.pb")
      model = TensorflowPredict(
          graphFilename=model_name,
          inputs=["model/Placeholder"],
          outputs=["model/Identity"],
          squeeze=False,
      )
  
      firstResult = model(pool)["model/Identity"]
  
      # This attempt to reconfigure the algorithm should be ignored and trigger a Warning.
      model.configure()
  
      secondResult = model(pool)["model/Identity"]
  
      self.assertEqualMatrix(firstResult, secondResult)
  
file_path: essentia/test/src/unittests/machinelearning/test_tensorflowpredict.py
imports: from essentia_test import *
  import sys
  import os
label_desc: Use image node_id 9 for calling the TestTensorFlowPredict obj's underlying member method code with example usage: obj.testIgnoreInvalidReconfiguration() without return types