code: def position_weighted_module_update_features(
      features: Dict[str, JaggedTensor],
      weighted_features: Dict[str, JaggedTensor],
  ) -> Dict[str, JaggedTensor]:
      features.update(weighted_features)
      return features
  
imports: import abc
  from collections import OrderedDict
  from typing import Any, Dict, Iterator, List, Optional, Tuple
  import torch
  import torch.nn
  from torchrec.fx.tracer import is_fx_tracing
  from torchrec.sparse.jagged_tensor import JaggedTensor, KeyedJaggedTensor
label_desc: Use image node_id 1 for calling a global function with example usage: position_weighted_module_update_features(features, weighted_features) and returns: features