code: def create_pred_layer(self, channels):
      return nn.Sequential(
          nn.Conv2d(
              self.feature_channel // 4,
              channels,
              kernel_size=1,
              stride=1,
              padding=0,
              bias=False,
          ),
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from backbones.upsample_head import SimpleUpsampleHead
label_desc: Use image node_id 3 for calling the SimpleDetectionDecoder obj's underlying member method code with example usage: obj.create_pred_layer(channels) and returns: nn