code: def __init__(
      self,
      device: torch.device,
      world_size: int,
  ) -> None:
      super().__init__()
      self._dist: EmbeddingsAllToOne = EmbeddingsAllToOne(
          device=device, world_size=world_size, cat_dim=1
      )
  
imports: from typing import Any, Callable, Dict, List, Optional, Set, Tuple, TypeVar
  import torch
  import torch.distributed
  from fbgemm_gpu.permute_pooled_embedding_modules_split import PermutePooledEmbeddingsSplit
  from torchrec.distributed.dist_data import EmbeddingsAllToOne
  from torchrec.distributed.embedding_lookup import GroupedPooledEmbeddingsLookup, InferGroupedPooledEmbeddingsLookup
  from torchrec.distributed.embedding_sharding import BaseEmbeddingDist, BaseEmbeddingLookup, BaseSparseFeaturesDist, EmbeddingShardingContext, EmbeddingShardingInfo
  from torchrec.distributed.embedding_types import BaseGroupedFeatureProcessor, EmbeddingComputeKernel, KJTList, ShardedEmbeddingTable
  from torchrec.distributed.sharding.tw_sharding import BaseTwEmbeddingSharding, InferTwSparseFeaturesDist, TwPooledEmbeddingDist, TwSparseFeaturesDist
  from torchrec.distributed.types import NullShardingContext, QuantizedCommCodecs, ShardedTensorMetadata, ShardingEnv, ShardMetadata
  from torchrec.sparse.jagged_tensor import KeyedJaggedTensor
  from torchrec.streamable import Multistreamable
label_desc: Use image node_id 1 to create a new InferCwPooledEmbeddingDist object from inherited base classes: BaseEmbeddingDist with example: obj = InferCwPooledEmbeddingDist(device, world_size)