code: def read_model_with_mutable_tensors(input_tflite_file):
      """Reads a tflite model as a python object with mutable tensors.
  
      Similar to read_model() with the addition that the returned object has
      mutable tensors (read_model() returns an object with immutable tensors).
  
      NOTE: This API only works for TFLite generated with
      _experimental_use_buffer_offset=false
  
      Args:
        input_tflite_file: Full path name to the input tflite file
  
      Raises:
        RuntimeError: If input_tflite_file path is invalid.
        IOError: If input_tflite_file cannot be opened.
  
      Returns:
        A mutable python object corresponding to the input tflite file.
      """
      return copy.deepcopy(read_model(input_tflite_file))
  
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 3 for calling a global function with example usage: read_model_with_mutable_tensors(input_tflite_file) and returns: copy