code: def _apply_instance_norm(self, input):
      return F.instance_norm(
          input,
          self.running_mean,
          self.running_var,
          self.weight,
          self.bias,
          self.training or not self.track_running_stats,
          self.momentum,
          self.eps,
      )
  
imports: import warnings
  from torch import Tensor
  from .batchnorm import _LazyNormBase, _NormBase
  from ..None import functional
label_desc: Use image node_id 5 for calling the _InstanceNorm obj's underlying member method code with example usage: obj._apply_instance_norm(input) and returns: F