code: def opt_densenet100(pretrained=False, **kwargs):
      r"""Densenet-100 model"""
      model = OptDenseNet(
          num_init_features=64,
          growth_rate=12,
          block_config=(6, 12, 24, 16),
          **kwargs,
      )
      return model
  
imports: from collections import OrderedDict
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.checkpoint import checkpoint_sequential
label_desc: Use image node_id 1 for calling a global function with example usage: opt_densenet100(pretrained) and returns: model