code: def record_stream(self, stream: torch.cuda.streams.Stream) -> None:
      super().record_stream(stream)
      if self.evictions_per_table:
          #  pyre-ignore
          for value in self.evictions_per_table.values():
              if value is None:
                  continue
              value.record_stream(stream)
      if self.remapped_kjt is not None:
          self.remapped_kjt.record_stream(stream)
  
imports: from dataclasses import dataclass
  from typing import Dict, Optional, Type
  import torch
  from torchrec.distributed.embedding_types import KJTList
  from torchrec.distributed.embeddingbag import EmbeddingBagCollectionContext, EmbeddingBagCollectionSharder, ShardedEmbeddingBagCollection
  from torchrec.distributed.mc_embedding_modules import BaseManagedCollisionEmbeddingCollectionSharder, BaseShardedManagedCollisionEmbeddingCollection
  from torchrec.distributed.mc_modules import ManagedCollisionCollectionSharder
  from torchrec.distributed.types import ParameterSharding, QuantizedCommCodecs, ShardingEnv
  from torchrec.modules.mc_embedding_modules import ManagedCollisionEmbeddingBagCollection
label_desc: Use image node_id 1 for calling the ManagedCollisionEmbeddingBagCollectionContext obj's underlying member method code with example usage: obj.record_stream(stream) without return types