code: def get_dequantize_opcode_idx(model):
      """Returns the quantize op idx."""
      quant_opcode_idxs = []
      for idx, opcode in enumerate(model.operatorCodes):
          builtin_code = (
              schema_util.get_builtin_code_from_operator_code(opcode)
          )
          if builtin_code == schema_fb.BuiltinOperator.DEQUANTIZE:
              quant_opcode_idxs.append(idx)
      return quant_opcode_idxs
  
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 18 for calling a global function with example usage: get_dequantize_opcode_idx(model) and returns: quant_opcode_idxs