code: def compute(
      self,
      ctx: ShrdCtx,
      dist_input: KJTList,
  ) -> List[torch.Tensor]:
      with record_function("## compute:mcc ##"):
          remapped_kjt = self._managed_collision_collection.compute(
              # pyre-fixme [6]
              ctx,
              dist_input,
          )
          evictions_per_table = (
              self._managed_collision_collection.evict()
          )
  
          self._evict(evictions_per_table)
          ctx.remapped_kjt = remapped_kjt
          ctx.evictions_per_table = evictions_per_table
  
          # pyre-ignore
          return self._embedding_module.compute(ctx, remapped_kjt)
  
imports: import logging
  from typing import Dict, Iterator, List, Optional, Tuple, Type, TypeVar, Union
  import torch
  from torch.autograd.profiler import record_function
  from torchrec.distributed.embedding import EmbeddingCollectionSharder, ShardedEmbeddingCollection
  from torchrec.distributed.embedding_types import BaseEmbeddingSharder, EmbeddingComputeKernel, KJTList, ShardedEmbeddingModule
  from torchrec.distributed.embeddingbag import EmbeddingBagCollectionSharder, ShardedEmbeddingBagCollection
  from torchrec.distributed.mc_modules import ManagedCollisionCollectionSharder, ShardedManagedCollisionCollection
  from torchrec.distributed.types import Awaitable, LazyAwaitable, Multistreamable, NoWait, ParameterSharding, QuantizedCommCodecs, ShardingEnv
  from torchrec.distributed.utils import append_prefix
  from torchrec.modules.embedding_modules import EmbeddingBagCollection, EmbeddingCollection
  from torchrec.modules.mc_embedding_modules import BaseManagedCollisionEmbeddingCollection, ManagedCollisionEmbeddingBagCollection, ManagedCollisionEmbeddingCollection
  from torchrec.sparse.jagged_tensor import KeyedJaggedTensor, KeyedTensor
label_desc: Use image node_id 4 for calling the BaseShardedManagedCollisionEmbeddingCollection obj's underlying member method code with example usage: obj.compute(ctx, dist_input) and returns: self