code: def compute_kernels(
      self, sharding_type: str, compute_device_type: str
  ) -> List[str]:
      return [EmbeddingComputeKernel.FUSED.value]
  
imports: import unittest
  from typing import cast, List
  import torch
  from torch import nn
  from torchrec.distributed.embedding_types import EmbeddingComputeKernel
  from torchrec.distributed.embeddingbag import EmbeddingBagCollectionSharder
  from torchrec.distributed.planner import ParameterConstraints
  from torchrec.distributed.planner.planners import EmbeddingShardingPlanner
  from torchrec.distributed.planner.types import PlannerError, PlannerErrorType, Topology
  from torchrec.distributed.sharding_plan import get_default_sharders
  from torchrec.distributed.test_utils.test_model import TestSparseNN
  from torchrec.distributed.types import BoundsCheckMode, CacheAlgorithm, CacheParams, DataType, EmbeddingModuleShardingPlan, ModuleSharder, ShardingPlan, ShardingType
  from torchrec.modules.embedding_configs import EmbeddingBagConfig
label_desc: Use image node_id 2 for calling the TWSharder obj's underlying member method code with example usage: obj.compute_kernels(sharding_type, compute_device_type) and returns: list