code: def create_output_dist(
      self, device: Optional[torch.device] = None
  ) -> BaseEmbeddingDist[
      InferSequenceShardingContext,
      List[torch.Tensor],
      List[torch.Tensor],
  ]:
      device = device if device is not None else self._device
      assert device is not None
  
      dist_out = InferCwSequenceEmbeddingDist(
          device,
          self._world_size,
      )
      return dist_out
  
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 3 for calling the InferCwSequenceEmbeddingSharding obj's underlying member method code with example usage: obj.create_output_dist(device) and returns: dist_out