code: def test_batch_split(self):
      if BatchSplit in self.unsupported_blocks:
          self.skipTest("BatchSplit not supported by adapter config.")
  
      model = self.build_model()
      model.set_active_adapters(
          BatchSplit("a", "b", "c", batch_sizes=[1, 1, 2])
      )
      self.batched_training_pass(model)
  
imports: import unittest
  import torch
  import adapters
  from adapters import IA3Config, LoRAConfig, PrefixTuningConfig, SeqBnConfig
  from adapters.composition import Average, BatchSplit, Fuse, Parallel, Split, Stack, parse_composition
  from tests.test_adapter import ids_tensor
  from transformers import BertConfig, BertForSequenceClassification
  from transformers.testing_utils import require_torch, torch_device
label_desc: Use image node_id 13 for calling the AdapterCompositionTest obj's underlying member method code with example usage: obj.test_batch_split() without return types