code: def lg_densenet264(pretrained=True, **kwargs):
      r"""Densenet-264 model"""
      model = DenseNet(
          num_classes=10,
          mode="D",
          num_init_features=64,
          growth_rate=32,
          bn_size=4,
          drop_rate=0,
          **kwargs,
      )
      return model
  
imports: from collections import OrderedDict
  import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 1 for calling a global function with example usage: lg_densenet264(pretrained) and returns: model