AttributeError: module 'xformers' has no attribute 'ops'. Did you mean: 'os'?

[Faraono]

我使用的是cuda121，torch2.2.1，xformers0.0.25，然后运行gradio之后会提示：
AttributeError: module 'xformers' has no attribute 'ops'. Did you mean: 'os'?

尝试过把torch+xformers一系列都降级，但是提示CUDA与这些版本不匹配，有没有办法不降级CUDA的情况下解决这个问题呢
（其他环境需要比较新的CUDA

具体报错如下：
1
[0. 0. 1.] [0. 0. 0.]
1
[0. 0. 1.] [0. 0. 0.]
C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\torch\nn\functional.py:5476: UserWarning:

1Torch was not compiled with flash attention. (Triggered internally at ..\aten\src\ATen\native\transformers\cuda\sdp_utils.cpp:263.)

Traceback (most recent call last):
File "C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\gradio\routes.py", line 439, in run_predict
output = await app.get_blocks().process_api(
File "C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\gradio\blocks.py", line 1389, in process_api
result = await self.call_function(
File "C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\gradio\blocks.py", line 1094, in call_function
prediction = await anyio.to_thread.run_sync(
File "C:\Users\admin\AppData\Roaming\Python\Python310\site-packages\anyio\to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "C:\Users\admin\AppData\Roaming\Python\Python310\site-packages\anyio_backends_asyncio.py", line 2144, in run_sync_in_worker_thread
return await future
File "C:\Users\admin\AppData\Roaming\Python\Python310\site-packages\anyio_backends_asyncio.py", line 851, in run
result = context.run(func, *args)
File "C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\gradio\utils.py", line 704, in wrapper
response = f(*args, **kwargs)
File "D:\AIGC\MotionCtrl-svd\app.py", line 514, in model_run
video_path = motionctrl_sample(
File "D:\AIGC\MotionCtrl-svd\gradio_utils\motionctrl_cmcm_gradio.py", line 148, in motionctrl_sample
c, uc = model.conditioner.get_unconditional_conditioning(
File "D:\AIGC\MotionCtrl-svd\sgm\modules\encoders\modules.py", line 179, in get_unconditional_conditioning
c = self(batch_c, force_cond_zero_embeddings)
File "C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AIGC\MotionCtrl-svd\sgm\modules\encoders\modules.py", line 132, in forward
emb_out = embedder(batch[embedder.input_key])
File "C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AIGC\MotionCtrl-svd\sgm\modules\encoders\modules.py", line 1012, in forward
out = self.encoder.encode(vid[n * n_samples : (n + 1) * n_samples])
File "D:\AIGC\MotionCtrl-svd\sgm\models\autoencoder.py", line 472, in encode
z = self.encoder(x)
File "C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AIGC\MotionCtrl-svd\sgm\modules\diffusionmodules\model.py", line 596, in forward
h = self.mid.attn_1(h)
File "C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self.call_impl(*args, **kwargs)
File "C:\Users\admin\miniconda3\envs\motionctrl\lib\site-packages\torch\nn\modules\module.py", line 1520, in call_impl
return forward_call(*args, **kwargs)
File "D:\AIGC\MotionCtrl-svd\sgm\modules\diffusionmodules\model.py", line 265, in forward
h = self.attention(h)
File "D:\AIGC\MotionCtrl-svd\sgm\modules\diffusionmodules\model.py", line 250, in attention
out = xformers.ops.memory_efficient_attention(
AttributeError: module 'xformers' has no attribute 'ops'. Did you mean: 'os'?

[wzhouxiff]

Suggest to build the environment following the requirements provided by SVD:
https://github.com/Stability-AI/generative-models/blob/0.0.1/requirements_pt13.txt
https://github.com/Stability-AI/generative-models/blob/0.0.1/requirements_pt2.txt