code: def testImplicitOutputTensorIndex(self):
      model = join(filedir(), "tensorflowpredict", "identity.pb")
      batch = numpy.reshape(
          numpy.arange(4, dtype="float32"), (1, 1, 2, 2)
      )
  
      pool = Pool()
      pool.set("model/Placeholder", batch)
  
      implicit_output = "model/Identity"
      implicit = TensorflowPredict(
          graphFilename=model,
          inputs=["model/Placeholder"],
          outputs=[implicit_output],
      )(pool)[implicit_output].squeeze()
  
      explicit_output = "model/Identity:0"
      explicit = TensorflowPredict(
          graphFilename=model,
          inputs=["model/Placeholder"],
          outputs=[explicit_output],
      )(pool)[explicit_output].squeeze()
  
      self.assertAlmostEqualMatrix(implicit, explicit)
  
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 10 for calling the TestTensorFlowPredict obj's underlying member method code with example usage: obj.testImplicitOutputTensorIndex() without return types