code: def setUp(self) -> None:
      self.topology = Topology(world_size=2, compute_device="cuda")
      self.estimator = EmbeddingPerfEstimator(topology=self.topology)
      self.enumerator = EmbeddingEnumerator(
          topology=self.topology,
          batch_size=BATCH_SIZE,
          estimator=self.estimator,
      )
  
imports: import unittest
  from typing import cast
  import torch
  import torchrec.optim
  from torchrec.distributed.embedding import EmbeddingCollectionSharder
  from torchrec.distributed.embedding_types import EmbeddingComputeKernel
  from torchrec.distributed.embeddingbag import EmbeddingBagCollectionSharder
  from torchrec.distributed.fbgemm_qcomm_codec import CommType, get_qcomm_codecs_registry, QCommsConfig
  from torchrec.distributed.planner.constants import BATCH_SIZE
  from torchrec.distributed.planner.enumerators import EmbeddingEnumerator
  from torchrec.distributed.planner.shard_estimators import _calculate_storage_specific_sizes, EmbeddingOffloadStats, EmbeddingPerfEstimator
  from torchrec.distributed.planner.types import ParameterConstraints, Perf, Topology
  from torchrec.distributed.quant_embeddingbag import QuantEmbeddingBagCollectionSharder
  from torchrec.distributed.test_utils.test_model import TestSparseNN
  from torchrec.distributed.tests.test_quant_model_parallel import _quantize
  from torchrec.distributed.tests.test_sequence_model import TestSequenceSparseNN
  from torchrec.distributed.types import CacheParams, CacheStatistics, ModuleSharder, ShardingType
  from torchrec.modules.embedding_configs import EmbeddingBagConfig, EmbeddingConfig
label_desc: Use image node_id 1 for calling the TestEmbeddingPerfEstimator obj's underlying member method code with example usage: obj.setUp() without return types