code: def ABN(
      num_features: int,
      eps=1e-5,
      momentum=0.1,
      affine=True,
      track_running_stats=True,
      activation=ACT_RELU,
      slope=0.01,
      inplace=True,
  ):
      bn = nn.BatchNorm2d(
          num_features,
          eps=eps,
          momentum=momentum,
          affine=affine,
          track_running_stats=track_running_stats,
      )
      act = instantiate_activation_block(
          activation, inplace=inplace, slope=slope
      )
      return nn.Sequential(OrderedDict([("bn", bn), (activation, act)]))
  
imports: from collections import OrderedDict
  import torch
  from torch import nn
  from torch.nn import functional
  from .identity import Identity
label_desc: Use image node_id 14 for calling a global function with example usage: ABN(num_features, eps, momentum, affine, track_running_stats, activation, slope, inplace) and returns: nn