code: def experimental_tflite_to_tosa_bytecode(
      flatbuffer,
      bytecode,
      use_external_constant=False,
      ordered_input_arrays=None,
      ordered_output_arrays=None,
  ):
      if ordered_input_arrays is None:
          ordered_input_arrays = []
      if ordered_output_arrays is None:
          ordered_output_arrays = []
      return ExperimentalTFLiteToTosaBytecode(
          flatbuffer.encode("utf-8"),
          bytecode.encode("utf-8"),
          use_external_constant,
          ordered_input_arrays,
          ordered_output_arrays,
      )
  
file_path: tensorflow-upstream/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 8 for calling a global function with example usage: experimental_tflite_to_tosa_bytecode(flatbuffer, bytecode, use_external_constant, ordered_input_arrays, ordered_output_arrays) and returns: ExperimentalTFLiteToTosaBytecode