code: def __init__(self, shardable_sparse: nn.Module) -> None:
      super().__init__()
      self.dense_arch = nn.Linear(10, 10)
      self.shardable_sparse = shardable_sparse
  
imports: import unittest
  from typing import cast, List
  from torch import nn
  from torchrec.distributed.embedding_tower_sharding import EmbeddingTowerCollectionSharder
  from torchrec.distributed.embeddingbag import EmbeddingBagCollectionSharder
  from torchrec.distributed.planner.storage_reservations import _get_module_size, HeuristicalStorageReservation
  from torchrec.distributed.planner.types import Topology
  from torchrec.distributed.test_utils.test_model import TestTowerInteraction
  from torchrec.distributed.types import ModuleSharder
  from torchrec.modules.embedding_configs import EmbeddingBagConfig
  from torchrec.modules.embedding_modules import EmbeddingBagCollection
  from torchrec.modules.embedding_tower import EmbeddingTower, EmbeddingTowerCollection
label_desc: Use image node_id 1 to create a new TestModel object from inherited base classes: nn with example: obj = TestModel(shardable_sparse)