code: def test_xformers_enable_works(self):
      (
          init_dict,
          inputs_dict,
      ) = self.prepare_init_args_and_inputs_for_common()
      model = self.model_class(**init_dict)
  
      model.enable_xformers_memory_efficient_attention()
  
      assert (
          model.mid_block.attentions[0]
          .transformer_blocks[0]
          .attn1.processor.__class__.__name__
          == "XFormersAttnProcessor"
      ), "xformers is not enabled"
  
imports: import copy
  import os
  import tempfile
  import unittest
  import numpy
  import torch
  from diffusers import MotionAdapter, UNet2DConditionModel, UNetMotionModel
  from diffusers.utils import logging
  from diffusers.utils.import_utils import is_xformers_available
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, torch_device
  from .test_modeling_common import ModelTesterMixin, UNetTesterMixin
label_desc: Use image node_id 9 for calling the UNetMotionModelTests obj's underlying member method code with example usage: obj.test_xformers_enable_works() without return types