code: def shard(
      self,
      module: ManagedCollisionEmbeddingBagCollection,
      params: Dict[str, ParameterSharding],
      env: ShardingEnv,
      device: Optional[torch.device] = None,
  ) -> ShardedManagedCollisionEmbeddingBagCollection:
      if device is None:
          device = torch.device("cuda")
  
      return ShardedManagedCollisionEmbeddingBagCollection(
          module,
          params,
          # pyre-ignore [6]
          ebc_sharder=self._e_sharder,
          mc_sharder=self._mc_sharder,
          env=env,
          device=device,
      )
  
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 2 for calling the ManagedCollisionEmbeddingBagCollectionSharder obj's underlying member method code with example usage: obj.shard(module, params, env, device) and returns: ShardedManagedCollisionEmbeddingBagCollection