code: def measure(self, world_size: int, num_tables: int) -> float:
      enumerator, model = TestEnumeratorBenchmark.build(
          world_size, num_tables
      )
  
      start_time = time.time()
      sharding_options = enumerator.enumerate(
          module=model, sharders=[TWSharder()]
      )
      end_time = time.time()
  
      self.assertEqual(len(sharding_options), num_tables)
      return end_time - start_time
  
imports: import time
  import unittest
  from typing import List, Tuple
  from torch import nn
  from torchrec.distributed.embedding_types import EmbeddingComputeKernel
  from torchrec.distributed.embeddingbag import EmbeddingBagCollectionSharder
  from torchrec.distributed.planner.constants import BATCH_SIZE
  from torchrec.distributed.planner.enumerators import EmbeddingEnumerator
  from torchrec.distributed.planner.types import Topology
  from torchrec.distributed.test_utils.test_model import TestSparseNN
  from torchrec.distributed.types import ModuleSharder, ShardingType
  from torchrec.modules.embedding_configs import EmbeddingBagConfig
label_desc: Use image node_id 2 for calling the TestEnumeratorBenchmark obj's underlying member method code with example usage: obj.measure(world_size, num_tables) and returns: unknown