class_docstr: Common base of _InstanceNorm and _BatchNorm.
class_docstr_tok: ["Common","base","of","_InstanceNorm","and","_BatchNorm","."]
code: def extra_repr(self):
      return (
          "{num_features}, eps={eps}, momentum={momentum}, affine={affine}, "
          "track_running_stats={track_running_stats}".format(
              **self.__dict__
          )
      )
  
imports: from typing import Optional, Any
  import torch
  from torch import Tensor
  from torch.nn.parameter import Parameter, UninitializedParameter, UninitializedBuffer
  from ..None import functional
  from ..None import init
  from ._functions import SyncBatchNorm
  from .lazy import LazyModuleMixin
  from .module import Module
label_desc: Use image node_id 5 for calling the _NormBase obj's underlying member method code with example usage: obj.extra_repr() and returns: str