code: def forward(
      self,
      sparse_features: KeyedJaggedTensor,
  ) -> KJTList:
      (
          block_sizes,
          block_bucketize_row_pos,
      ) = get_block_sizes_runtime_device(
          self.feature_block_sizes,
          sparse_features.device(),
          self.tensor_cache,
          self._embedding_shard_metadata,
      )
      (
          bucketized_features,
          self.unbucketize_permute_tensor,
      ) = bucketize_kjt_before_all2all(
          sparse_features,
          num_buckets=self._world_size,
          block_sizes=block_sizes,
          output_permute=self._is_sequence,
          bucketize_pos=self._has_feature_processor
          if sparse_features.weights_or_none() is None
          else self._need_pos,
          block_bucketize_row_pos=_fx_wrap_block_bucketize_row_pos(
              block_bucketize_row_pos
          ),
      )
      return self._dist.forward(bucketized_features)
  
imports: import math
  from typing import Any, cast, Dict, List, Optional, Tuple, TypeVar, Union
  import torch
  import torch.distributed
  from torchrec.distributed.dist_data import EmbeddingsAllToOneReduce, KJTAllToAll, KJTOneToAll, PooledEmbeddingsReduceScatter, VariableBatchPooledEmbeddingsReduceScatter
  from torchrec.distributed.embedding_lookup import GroupedPooledEmbeddingsLookup, InferGroupedPooledEmbeddingsLookup
  from torchrec.distributed.embedding_sharding import BaseEmbeddingDist, BaseEmbeddingLookup, BaseSparseFeaturesDist, bucketize_kjt_before_all2all, EmbeddingSharding, EmbeddingShardingContext, EmbeddingShardingInfo, group_tables
  from torchrec.distributed.embedding_types import BaseGroupedFeatureProcessor, EmbeddingComputeKernel, GroupedEmbeddingConfig, KJTList, ShardedEmbeddingTable
  from torchrec.distributed.types import Awaitable, CommOp, NullShardingContext, QuantizedCommCodecs, ShardedTensorMetadata, ShardingEnv, ShardMetadata
  from torchrec.sparse.jagged_tensor import KeyedJaggedTensor
  from torchrec.streamable import Multistreamable
label_desc: Use image node_id 2 for calling the InferRwSparseFeaturesDist obj's underlying member method code with example usage: obj.forward(sparse_features) and returns: self