code: def DenseResBlock(
      nf: int,  # Number of features
      norm_type: NormType = NormType.Batch,  # Normalization type
      **kwargs,
  ) -> SequentialEx:
      "Resnet block of `nf` features. `conv_kwargs` are passed to `conv_layer`."
      return SequentialEx(
          ConvLayer(nf, nf, norm_type=norm_type, **kwargs),
          ConvLayer(nf, nf, norm_type=norm_type, **kwargs),
          MergeLayer(dense=True),
      )
  
imports: from __future__ import annotations
  from ..basics import *
  from .all import *
label_desc: Use image node_id 4 for calling a global function with example usage: DenseResBlock(nf, norm_type) and returns: SequentialEx