code: def densenet161(**kwargs: Any) -> DenseNet:
      # Top-1 error: 22.35%
      # 'densenet161': 'https://download.pytorch.org/models/densenet161-8d451a50.pth'
      return DenseNet(
          growth_rate=48,
          block_config=(6, 12, 36, 24),
          num_init_features=96,
          **kwargs,
      )
  
imports: import re
  from typing import Any, List, Tuple
  from collections import OrderedDict
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.checkpoint
  from torch import Tensor
label_desc: Use image node_id 4 for calling a global function with example usage: densenet161() and returns: DenseNet