code: def forward(self, x: Tensor) -> Tensor:
      outputs = self._forward(x)
      return torch.cat(outputs, 1)
  
imports: import warnings
  from collections import namedtuple
  from functools import partial
  from typing import Any, Callable, List, Optional, Tuple
  import torch
  import torch.nn.functional
  from torch import nn, 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 InceptionD obj's underlying member method code with example usage: obj.forward(x) and returns: torch