class_docstr: Common base of _InstanceNorm and _BatchNorm.
class_docstr_tok: ["Common","base","of","_InstanceNorm","and","_BatchNorm","."]
code: def reset_parameters(self) -> None:
      self.reset_running_stats()
      if self.affine:
          init.ones_(self.weight)
          init.zeros_(self.bias)
  
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 3 for calling the _NormBase obj's underlying member method code with example usage: obj.reset_parameters() without return types