code: def __init__(
      self,
      num_features: int,
      eps: float = 1e-5,
      momentum: float = 0.1,
      affine: bool = False,
      track_running_stats: bool = False,
      device=None,
      dtype=None,
  ) -> None:
      factory_kwargs = {"device": device, "dtype": dtype}
      super().__init__(
          num_features,
          eps,
          momentum,
          affine,
          track_running_stats,
          **factory_kwargs,
      )
  
imports: import warnings
  from torch import Tensor
  from .batchnorm import _LazyNormBase, _NormBase
  from ..None import functional
label_desc: Use image node_id 1 to create a new _InstanceNorm object from inherited base classes: _NormBase with example: obj = _InstanceNorm(num_features, eps, momentum, affine, track_running_stats, device, dtype)