code: def experimental_run_pass_pipeline(
      mlir_txt, pass_pipeline, show_debug_info
  ):
      return ExperimentalRunPassPipeline(
          mlir_txt.encode("utf-8"),
          pass_pipeline.encode("utf-8"),
          show_debug_info,
      )
  
file_path: tensorflow/tensorflow/python/pywrap_mlir.py
imports: from tensorflow.python import pywrap_tensorflow
  from tensorflow.python.eager import context
  from tensorflow.python._pywrap_mlir import *
label_desc: Use image node_id 6 for calling a global function with example usage: experimental_run_pass_pipeline(mlir_txt, pass_pipeline, show_debug_info) and returns: ExperimentalRunPassPipeline