class_docstr: Common base of _InstanceNorm and _BatchNorm.
class_docstr_tok: ["Common","base","of","_InstanceNorm","and","_BatchNorm","."]
code: def reset_running_stats(self) -> None:
      if self.track_running_stats:
          # running_mean/running_var/num_batches... are registered at runtime depending
          # if self.track_running_stats is on
          self.running_mean.zero_()  # type: ignore[union-attr]
          self.running_var.fill_(1)  # type: ignore[union-attr]
          self.num_batches_tracked.zero_()
  
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 2 for calling the _NormBase obj's underlying member method code with example usage: obj.reset_running_stats() without return types