code: def _convert_model_from_bytearray_to_object(model_bytearray):
      """Converts a tflite model from a bytearray into a parsable object."""
      model_object = schema_fb.Model.GetRootAsModel(model_bytearray, 0)
      model_object = schema_fb.ModelT.InitFromObj(model_object)
      model_object = copy.deepcopy(model_object)
      return model_object
  
imports: import copy
  import datetime
  import sys
  from absl import logging
  import flatbuffers
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.lite.python import conversion_metadata_schema_py_generated
  from tensorflow.lite.python import schema_py_generated
  from tensorflow.lite.python import schema_util
  from tensorflow.lite.python import tflite_keras_util
  from tensorflow.lite.python.op_hint import convert_op_hints_to_stubs
  from tensorflow.lite.python.op_hint import find_all_hinted_output_nodes
  from tensorflow.lite.tools import flatbuffer_utils
  from tensorflow.python.eager import function
  from tensorflow.python.framework import convert_to_constants
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import error_interpolation
  from tensorflow.python.grappler import tf_optimizer
  from tensorflow.python.training.saver import export_meta_graph
label_desc: Use image node_id 15 for calling a global function with example usage: _convert_model_from_bytearray_to_object(model_bytearray) and returns: model_object