code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      x = self.features(x)
      x = self.avgpool(x)
      x = torch.flatten(x, 1)
      x = self.classifier(x)
      return x
  
file_path: vision/torchvision/models/alexnet.py
imports: from functools import partial
  from typing import Any, Optional
  import torch
  import torch.nn
  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 2 for calling the AlexNet obj's underlying member method code with example usage: obj.forward(x) and returns: x