code: def __init__(
      self,
      in_channels,
      reduced_channels,
      out_channels,
      norm_layer,
      **kwargs,
  ):
      super(_AttentionGeneration, self).__init__()
      self.conv_reduce = _ConvBNReLU(
          in_channels, reduced_channels, 1, norm_layer=norm_layer
      )
      self.attention = nn.Sequential(
          _ConvBNReLU(
              reduced_channels,
              reduced_channels,
              1,
              norm_layer=norm_layer,
          ),
          nn.Conv2d(reduced_channels, out_channels, 1, bias=False),
      )
  
      self.reduced_channels = reduced_channels
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from pywick.models.segmentation.da_basenets.basic import _ConvBNReLU
  from pywick.models.segmentation.da_basenets.segbase import SegBaseModel
  from pywick.models.segmentation.da_basenets.fcn import _FCNHead
label_desc: Use image node_id 1 to create a new _AttentionGeneration object from inherited base classes: nn with example: obj = _AttentionGeneration(in_channels, reduced_channels, out_channels, norm_layer)