code: def tflite_to_tosa_bytecode(
      flatbuffer,
      bytecode,
      use_external_constant=False,
      ordered_input_arrays=None,
      ordered_output_arrays=None,
  ):
      """Converts TFLite flatbuffer to TOSA dialect in MLIR bytecode.
  
      Args:
        flatbuffer: Path to flatbuffer.
        bytecode: Path to output bytecode.
        use_external_constant: Whether to create `tfl.external_const` instead of
          `tfl.const`.
        ordered_input_arrays:
        ordered_output_arrays: If ordered_output_arrays is not empty, then the
          function will only return nodes in ordered_output_arrays in the same order
      """
      pywrap_mlir.experimental_tflite_to_tosa_bytecode(
          flatbuffer,
          bytecode,
          use_external_constant,
          ordered_input_arrays,
          ordered_output_arrays,
      )
  
file_path: tensorflow/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 7 for calling a global function with example usage: tflite_to_tosa_bytecode(flatbuffer, bytecode, use_external_constant, ordered_input_arrays, ordered_output_arrays) without return types