code: def test_get_lora(self):
      model = self.get_model()
      n_layers = len(list(model.iter_layers()))
      self.run_get_test(
          model,
          LoRAConfig(intermediate_lora=True, output_lora=True),
          n_layers * 3,
      )
  
file_path: adapters/tests/methods/test_lora.py
imports: from adapters import LoRAConfig
  from transformers.testing_utils import require_torch
  from .base import AdapterMethodBaseTestMixin
label_desc: Use image node_id 5 for calling the LoRATestMixin obj's underlying member method code with example usage: obj.test_get_lora() without return types