code: def bnrelu(
      channels, norm_layer=nn.BatchNorm, norm_kwargs=None, **kwargs
  ):
      """
      Single Layer BN and Relu
      """
      out = nn.HybridSequential(prefix="")
      out.add(
          norm_layer(
              in_channels=channels,
              **({} if norm_kwargs is None else norm_kwargs),
          )
      )
      out.add(nn.Activation("relu"))
      return out
  
file_path: gluon-cv/gluoncv/model_zoo/wideresnet.py
imports: import sys
  from collections import OrderedDict
  from functools import partial
  from mxnet.gluon import nn
  from mxnet.gluon.nn import HybridBlock
label_desc: Use image node_id 1 for calling a global function with example usage: bnrelu(channels, norm_layer, norm_kwargs) and returns: out