code: def __init__(self, max_proposals: int = MAX_PROPOSALS) -> None:
      self._max_proposals: int = max_proposals
      self._sharding_options_by_fqn: Dict[
          str, List[ShardingOption]
      ] = {}
      self._proposal_index: int = 0
      self._proposals: List[List[int]] = []
  
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 1 to create a new GridSearchProposer object from inherited base classes: Proposer with example: obj = GridSearchProposer(max_proposals)