code: def byte_swap_tflite_buffer(tflite_model, from_endiness, to_endiness):
      """Generates a new model byte array after byte swapping its buffers field.
  
      Args:
        tflite_model: TFLite flatbuffer in a byte array.
        from_endiness: The original endianness format of the buffers in
          tflite_model.
        to_endiness: The destined endianness format of the buffers in tflite_model.
  
      Returns:
        TFLite flatbuffer in a byte array, after being byte swapped to to_endiness
        format.
      """
      if tflite_model is None:
          return None
      # Load TFLite Flatbuffer byte array into an object.
      model = convert_bytearray_to_object(tflite_model)
  
      # Byte swapping the constant buffers as per their data types
      byte_swap_tflite_model_obj(model, from_endiness, to_endiness)
  
      # Return a TFLite flatbuffer as a byte array.
      return convert_object_to_bytearray(model)
  
imports: import copy
  import random
  import re
  import struct
  import sys
  import flatbuffers
  from tensorflow.lite.python import schema_py_generated
  from tensorflow.lite.python import schema_util
  from tensorflow.python.platform import gfile
label_desc: Use image node_id 16 for calling a global function with example usage: byte_swap_tflite_buffer(tflite_model, from_endiness, to_endiness) and returns: convert_object_to_bytearray, None