code: def _make_dense_layers(self, block, in_planes, nblock):
      layers = []
      for i in range(nblock):
          layers.append(block(in_planes, self.growth_rate))
          in_planes += self.growth_rate
      return nn.Sequential(*layers)
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from ..tools.custom_modules import FakeReLU
label_desc: Use image node_id 2 for calling the DenseNet obj's underlying member method code with example usage: obj._make_dense_layers(block, in_planes, nblock) and returns: nn