code: def is_value_type_observer(value):
      type_name = value.type()
      for observer_type in OnDevicePTQUtils.observer_module_name:
          if observer_type in type_name.str():
              return True
      return False
  
imports: import torch
  import torch._C
  from torch.ao.quantization import default_dynamic_qconfig, per_channel_dynamic_qconfig
  from torch.ao.quantization.quantize_jit import prepare_dynamic_jit, convert_dynamic_jit, _prepare_ondevice_dynamic_jit, _quantize_ondevice_dynamic_jit
  from torch.testing._internal.common_utils import TestCase
  from torch.testing._internal.common_quantization import get_script_module, LinearAddModel
  from torch.jit.mobile import _load_for_lite_interpreter, LiteScriptModule
  from torch.testing import FileCheck
  from torch.utils import bundled_inputs
  import io
  from typing import Dict
label_desc: Use image node_id 4 for calling the OnDevicePTQUtils obj's underlying member method code with example usage: obj.is_value_type_observer(value) and returns: False, True