code: def __init__(self, num_channels, relu=True):
      super().__init__(
          nn.BatchNorm2d(num_channels, eps=BATCH_NORM_EPSILON),
          nn.ReLU() if relu else nn.Identity(),
      )
  
imports: import logging
  from enum import Enum
  import torch
  import torch.nn
  import torch.nn.functional
  from vissl.config import AttrDict
  from vissl.models.trunks import register_model_trunk
label_desc: Use image node_id 1 to create a new BatchNormRelu object from inherited base classes: nn with example: obj = BatchNormRelu(num_channels, relu)