code: def __init__(self, in_channels: int, channels: int) -> None:
      inter_channels = in_channels // 4
      layers = [
          nn.Conv2d(
              in_channels, inter_channels, 3, padding=1, bias=False
          ),
          nn.BatchNorm2d(inter_channels),
          nn.ReLU(),
          nn.Dropout(0.1),
          nn.Conv2d(inter_channels, channels, 1),
      ]
  
      super().__init__(*layers)
  
imports: from functools import partial
  from typing import Any, Optional
  from torch import nn
  from ...transforms._presets import SemanticSegmentation
  from .._api import register_model, Weights, WeightsEnum
  from .._meta import _VOC_CATEGORIES
  from .._utils import _ovewrite_value_param, handle_legacy_interface, IntermediateLayerGetter
  from ..resnet import ResNet, resnet101, ResNet101_Weights, resnet50, ResNet50_Weights
  from ._utils import _SimpleSegmentationModel
label_desc: Use image node_id 1 to create a new FCNHead object from inherited base classes: nn with example: obj = FCNHead(in_channels, channels)