code: def propose(self) -> Optional[List[ShardingOption]]:
      return self.proposal
  
imports: import copy
  import itertools
  import logging
  from decimal import Decimal
  from typing import cast, Dict, List, Optional, Set, Tuple, Union
  import torch
  from torchrec.distributed.embedding_types import EmbeddingComputeKernel
  from torchrec.distributed.planner.types import Enumerator, Perf, Proposer, ShardingOption, Topology
  from torchrec.distributed.planner.utils import BinarySearchPredicate, bytes_to_gb, prod
label_desc: Use image node_id 3 for calling the EmbeddingOffloadScaleupProposer obj's underlying member method code with example usage: obj.propose() and returns: self