code: def count_resource_variables(model):
      """Calculates the number of unique resource variables in a model.
  
      Args:
        model: the input tflite model, either as bytearray or object.
  
      Returns:
        An integer number representing the number of unique resource variables.
      """
      if not isinstance(model, schema_fb.ModelT):
          model = convert_bytearray_to_object(model)
      unique_shared_names = set()
      for subgraph in model.subgraphs:
          if subgraph.operators is None:
              continue
          for op in subgraph.operators:
              builtin_code = (
                  schema_util.get_builtin_code_from_operator_code(
                      model.operatorCodes[op.opcodeIndex]
                  )
              )
              if builtin_code == schema_fb.BuiltinOperator.VAR_HANDLE:
                  unique_shared_names.add(op.builtinOptions.sharedName)
      return len(unique_shared_names)
  
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 17 for calling a global function with example usage: count_resource_variables(model) and returns: len