code: def fuse_model(self, is_qat: Optional[bool] = None) -> None:
      _fuse_modules(self, ["conv", "bn", "relu"], is_qat, inplace=True)
  
imports: import warnings
  from functools import partial
  from typing import Any, Optional, Union
  import torch
  import torch.nn
  from torch import Tensor
  from torch.nn import functional
  from ...transforms._presets import ImageClassification
  from .._api import register_model, Weights, WeightsEnum
  from .._meta import _IMAGENET_CATEGORIES
  from .._utils import _ovewrite_named_param, handle_legacy_interface
  from ..googlenet import BasicConv2d, GoogLeNet, GoogLeNet_Weights, GoogLeNetOutputs, Inception, InceptionAux
  from .utils import _fuse_modules, _replace_relu, quantize_model
label_desc: Use image node_id 3 for calling the QuantizableBasicConv2d obj's underlying member method code with example usage: obj.fuse_model(is_qat) without return types