code: def encode(self, features):
      z, ljd = self.flow(features, rev=False)
      if len(self.feature_extractor.scales) == 1:
          z = [z]
      return z, ljd
  
file_path: anomalib/src/anomalib/models/uflow/torch_model.py
imports: import torch.nn
  from FrEIA import framework
  from FrEIA import modules
  from anomalib.models.components.flow import AllInOneBlock
  from .anomaly_map import AnomalyMapGenerator
  from .feature_extraction import get_feature_extractor
label_desc: Use image node_id 5 for calling the UflowModel obj's underlying member method code with example usage: obj.encode(features) and returns: z,  ljd