class_docstr: A general BatchNorm layer without input dimension check.
  
  Reproduced from @kapily's work:
  (https://github.com/pytorch/pytorch/issues/41081#issuecomment-783961547)
  The only difference between BatchNorm1d, BatchNorm2d, BatchNorm3d, etc
  is `_check_input_dim` that is designed for tensor sanity checks.
  The check has been bypassed in this class for the convenience of converting
  SyncBatchNorm.
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code: def _check_input_dim(self, input):
      return
  
imports: import torch
  import annotator.uniformer.mmcv
label_desc: Use image node_id 1 for calling the _BatchNormXd obj's underlying member method code with example usage: obj._check_input_dim(input) without return types