code: def forward(
      self,
      local_embs: List[torch.Tensor],
      sharding_ctx: Optional[InferSequenceShardingContext] = None,
  ) -> List[torch.Tensor]:
      return self._dist(local_embs)
  
imports: from typing import Any, Dict, List, Optional
  import torch
  from torchrec.distributed.dist_data import SeqEmbeddingsAllToOne
  from torchrec.distributed.embedding_lookup import GroupedEmbeddingsLookup, InferGroupedEmbeddingsLookup
  from torchrec.distributed.embedding_sharding import BaseEmbeddingDist, BaseEmbeddingLookup, BaseSparseFeaturesDist
  from torchrec.distributed.embedding_types import BaseGroupedFeatureProcessor, KJTList
  from torchrec.distributed.sharding.cw_sharding import BaseCwEmbeddingSharding
  from torchrec.distributed.sharding.sequence_sharding import InferSequenceShardingContext, SequenceShardingContext
  from torchrec.distributed.sharding.tw_sequence_sharding import TwSequenceEmbeddingDist
  from torchrec.distributed.sharding.tw_sharding import InferTwSparseFeaturesDist, TwSparseFeaturesDist
  from torchrec.sparse.jagged_tensor import KeyedJaggedTensor
label_desc: Use image node_id 2 for calling the InferCwSequenceEmbeddingDist obj's underlying member method code with example usage: obj.forward(local_embs, sharding_ctx) and returns: self