code: def test_even_sharding(self, backend: str) -> None:
      WORLD_SIZE = 2
  
      embedding_bag_config = [
          EmbeddingBagConfig(
              name="table_0",
              feature_names=["feature_0"],
              embedding_dim=8,
              num_embeddings=16,
          ),
          EmbeddingBagConfig(
              name="table_1",
              feature_names=["feature_1"],
              embedding_dim=8,
              num_embeddings=32,
          ),
      ]
  
      self._run_multi_process_test(
          callable=_test_sharding,
          world_size=WORLD_SIZE,
          tables=embedding_bag_config,
          sharder=ManagedCollisionEmbeddingBagCollectionSharder(),
          backend=backend,
      )
  
imports: import copy
  import unittest
  from typing import Dict, List, Optional, Tuple
  import torch
  import torch.nn
  from hypothesis import given, settings, strategies
  from torchrec.distributed.embeddingbag import ShardedEmbeddingBagCollection
  from torchrec.distributed.mc_embeddingbag import ManagedCollisionEmbeddingBagCollectionSharder, ShardedManagedCollisionEmbeddingBagCollection
  from torchrec.distributed.mc_modules import ShardedManagedCollisionCollection
  from torchrec.distributed.shard import _shard_modules
  from torchrec.distributed.sharding_plan import construct_module_sharding_plan, row_wise
  from torchrec.distributed.test_utils.multi_process import MultiProcessContext, MultiProcessTestBase
  from torchrec.distributed.types import ModuleSharder, ShardingEnv, ShardingPlan
  from torchrec.modules.embedding_configs import EmbeddingBagConfig
  from torchrec.modules.embedding_modules import EmbeddingBagCollection
  from torchrec.modules.mc_embedding_modules import ManagedCollisionEmbeddingBagCollection
  from torchrec.modules.mc_modules import DistanceLFU_EvictionPolicy, ManagedCollisionCollection, MCHManagedCollisionModule
  from torchrec.optim.apply_optimizer_in_backward import apply_optimizer_in_backward
  from torchrec.optim.rowwise_adagrad import RowWiseAdagrad
  from torchrec.sparse.jagged_tensor import JaggedTensor, KeyedJaggedTensor
  from torchrec.test_utils import skip_if_asan_class
label_desc: Use image node_id 2 for calling the ShardedMCEmbeddingBagCollectionParallelTest obj's underlying member method code with example usage: obj.test_even_sharding(backend) without return types