class_docstr: Common base of _InstanceNorm and _BatchNorm.
class_docstr_tok: ["Common","base","of","_InstanceNorm","and","_BatchNorm","."]
code: def _check_input_dim(self, input):
      raise NotImplementedError
  
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 4 for calling the _NormBase obj's underlying member method code with example usage: obj._check_input_dim(input) without return types