code: def compute_kernels(
      self,
      sharding_type: str,
      compute_device_type: str,
  ) -> List[str]:
      return [EmbeddingComputeKernel.FUSED.value]
  
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 3 for calling the BaseManagedCollisionEmbeddingCollectionSharder obj's underlying member method code with example usage: obj.compute_kernels(sharding_type, compute_device_type) and returns: list