code: def _forward(
      self, x: Tensor
  ) -> Tuple[Tensor, Optional[Tensor], Optional[Tensor]]:
      # N x 3 x 224 x 224
      x = self.conv1(x)
      # N x 64 x 112 x 112
      x = self.maxpool1(x)
      # N x 64 x 56 x 56
      x = self.conv2(x)
      # N x 64 x 56 x 56
      x = self.conv3(x)
      # N x 192 x 56 x 56
      x = self.maxpool2(x)
  
      # N x 192 x 28 x 28
      x = self.inception3a(x)
      # N x 256 x 28 x 28
      x = self.inception3b(x)
      # N x 480 x 28 x 28
      x = self.maxpool3(x)
      # N x 480 x 14 x 14
      x = self.inception4a(x)
      # N x 512 x 14 x 14
      aux1: Optional[Tensor] = None
      if self.aux1 is not None:
          if self.training:
              aux1 = self.aux1(x)
  
      x = self.inception4b(x)
      # N x 512 x 14 x 14
      x = self.inception4c(x)
      # N x 512 x 14 x 14
      x = self.inception4d(x)
      # N x 528 x 14 x 14
      aux2: Optional[Tensor] = None
      if self.aux2 is not None:
          if self.training:
              aux2 = self.aux2(x)
  
      x = self.inception4e(x)
      # N x 832 x 14 x 14
      x = self.maxpool4(x)
      # N x 832 x 7 x 7
      x = self.inception5a(x)
      # N x 832 x 7 x 7
      x = self.inception5b(x)
      # N x 1024 x 7 x 7
  
      x = self.avgpool(x)
      # N x 1024 x 1 x 1
      x = torch.flatten(x, 1)
      # N x 1024
      x = self.dropout(x)
      x = self.fc(x)
      # N x 1000 (num_classes)
      return x, aux2, aux1
  
imports: import warnings
  from collections import namedtuple
  from functools import partial
  from typing import Any, Callable, List, Optional, Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from ..transforms._presets import ImageClassification
  from ..utils import _log_api_usage_once
  from ._api import register_model, Weights, WeightsEnum
  from ._meta import _IMAGENET_CATEGORIES
  from ._utils import _ovewrite_named_param, handle_legacy_interface
label_desc: Use image node_id 3 for calling the GoogLeNet obj's underlying member method code with example usage: obj._forward(x) and returns: x,  aux2,  aux1