code: def process_dynamic_cat(self, feature: torch.Tensor) -> torch.Tensor:
      if self.embeddings["embed_dynamic"] is None:
          return feature.float()
      else:
          return self.embeddings["embed_dynamic"](feature)
  
file_path: gluonts/src/gluonts/nursery/robust-mts-attack/pts/modules/feature.py
imports: from typing import List, Optional
  import torch
  import torch.nn
label_desc: Use image node_id 4 for calling the FeatureAssembler obj's underlying member method code with example usage: obj.process_dynamic_cat(feature) and returns: feature, self