code: def reset_parameters(self) -> None:
      if not self.has_uninitialized_params() and self.num_features != 0:
          super().reset_parameters()
  
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 _LazyNormBase obj's underlying member method code with example usage: obj.reset_parameters() without return types