code: def BNReLU(num_features, bn_type=None, **kwargs):
      return nn.Sequential(
          BatchNorm2d(num_features, **kwargs), nn.ReLU()
      )
  
imports: import os
  import logging
  import numpy
  import torch
  import torch.nn
  import torch._utils
  import torch.nn.functional
  from .bn_helper import BatchNorm2d, BatchNorm2d_class, relu_inplace
label_desc: Use image node_id 1 for calling the ModuleHelper obj's underlying member method code with example usage: obj.BNReLU(num_features, bn_type) and returns: nn