code: def test_current_pipeline():
      pipe1 = Pipeline(13, 4, 0)
      with pipe1:
          dummy = types.Constant(numpy.ones((1)))
          output = dalitorch.fn.torch_python_function(
              dummy, function=lambda inp: verify_pipeline(pipe1, inp)
          )
          pipe1.set_outputs(output)
  
      pipe2 = Pipeline(6, 2, 0)
      with pipe2:
          dummy = types.Constant(numpy.ones((1)))
          output = dalitorch.fn.torch_python_function(
              dummy, function=lambda inp: verify_pipeline(pipe2, inp)
          )
          pipe2.set_outputs(output)
  
      pipe1.build()
      pipe2.build()
      pipe1.run()
      pipe2.run()
  
imports: import numpy
  import nvidia.dali.ops
  import nvidia.dali.plugin.pytorch
  import nvidia.dali.types
  import os
  import torch
  from nvidia.dali.pipeline import Pipeline
  from test_utils import get_dali_extra_path
label_desc: Use image node_id 8 for calling a global function with example usage: test_current_pipeline() without return types