code: def convert_saved_model(
      saved_model_path, exported_names, show_debug_info=False
  ):
      """Converts a SavedModel to MLIR module.
  
      Args:
        saved_model_path: Path to SavedModel.
        exported_names: Names to export.
        show_debug_info: Whether to include locations in the emitted textual form.
  
      Returns:
        A textual representation of the MLIR module corresponding to the
        SavedModel.
      """
      return pywrap_mlir.experimental_convert_saved_model_to_mlir(
          saved_model_path, exported_names, show_debug_info
      )
  
file_path: tensorflow-upstream/tensorflow/python/compiler/mlir/mlir.py
imports: from tensorflow.python import pywrap_mlir
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 3 for calling a global function with example usage: convert_saved_model(saved_model_path, exported_names, show_debug_info) and returns: pywrap_mlir