code: def test_current_pipeline():
      pipe1 = Pipeline(13, 4, 0)
      with pipe1:
          dummy = types.Constant(numpy.ones((1)))
          output = fn.dl_tensor_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 = fn.dl_tensor_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.types
  import os
  import random
  from functools import partial
  from nvidia.dali.pipeline import Pipeline
  from nvidia.dali import fn, pipeline_def
  from nvidia.dali.python_function_plugin import current_dali_stream
label_desc: Use image node_id 43 for calling a global function with example usage: test_current_pipeline() without return types