We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
nv-sd CI test failure
The Nightly CI for https://github.com/microsoft/DeepSpeed/actions/runs/7434747598 failed.


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `deepspeed/module_inject/containers/vae.py`
Content:
```
1 # Copyright (c) Microsoft Corporation.
2 # SPDX-License-Identifier: Apache-2.0
3 
4 # DeepSpeed Team
5 
6 from ..policy import DSPolicy
7 from ...model_implementations.diffusers.vae import DSVAE
8 
9 
10 class VAEPolicy(DSPolicy):
11 
12     def __init__(self):
13         super().__init__()
14         try:
15             import diffusers
16             if hasattr(diffusers.models.vae, "AutoencoderKL"):
17                 self._orig_layer_class = diffusers.models.vae.AutoencoderKL
18             else:
19                 # Diffusers >= 0.12.0 changes location of AutoencoderKL
20                 self._orig_layer_class = diffusers.models.autoencoder_kl.AutoencoderKL
21         except ImportError:
22             self._orig_layer_class = None
23 
24     def match(self, module):
25         return isinstance(module, self._orig_layer_class)
26 
27     def match_replaced(self, module):
28         return isinstance(module, DSVAE)
29 
30     def apply(self, module, enable_cuda_graph=True):
31         # TODO(cmikeh2): Enable cuda graph should be an inference configuration
32         return DSVAE(module, enable_cuda_graph=enable_cuda_graph)
33 
34     # NOTE (lekurile): Should we have a diffusers policy class?
35     def attention(self, client_module):
36         pass
37
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/deepspeed/module_inject/containers/vae.py b/deepspeed/module_inject/containers/vae.py
--- a/deepspeed/module_inject/containers/vae.py
+++ b/deepspeed/module_inject/containers/vae.py
@@ -13,11 +13,11 @@
         super().__init__()
         try:
             import diffusers
-            if hasattr(diffusers.models.vae, "AutoencoderKL"):
-                self._orig_layer_class = diffusers.models.vae.AutoencoderKL
+            if hasattr(diffusers.models.autoencoders.vae, "AutoencoderKL"):
+                self._orig_layer_class = diffusers.models.autoencoders.vae.AutoencoderKL
             else:
                 # Diffusers >= 0.12.0 changes location of AutoencoderKL
-                self._orig_layer_class = diffusers.models.autoencoder_kl.AutoencoderKL
+                self._orig_layer_class = diffusers.models.autoencoders.autoencoder_kl.AutoencoderKL
         except ImportError:
             self._orig_layer_class = None

{"golden_diff": "diff --git a/deepspeed/module_inject/containers/vae.py b/deepspeed/module_inject/containers/vae.py\n--- a/deepspeed/module_inject/containers/vae.py\n+++ b/deepspeed/module_inject/containers/vae.py\n@@ -13,11 +13,11 @@\n         super().__init__()\n         try:\n             import diffusers\n-            if hasattr(diffusers.models.vae, \"AutoencoderKL\"):\n-                self._orig_layer_class = diffusers.models.vae.AutoencoderKL\n+            if hasattr(diffusers.models.autoencoders.vae, \"AutoencoderKL\"):\n+                self._orig_layer_class = diffusers.models.autoencoders.vae.AutoencoderKL\n             else:\n                 # Diffusers >= 0.12.0 changes location of AutoencoderKL\n-                self._orig_layer_class = diffusers.models.autoencoder_kl.AutoencoderKL\n+                self._orig_layer_class = diffusers.models.autoencoders.autoencoder_kl.AutoencoderKL\n         except ImportError:\n             self._orig_layer_class = None\n", "issue": "nv-sd CI test failure\nThe Nightly CI for https://github.com/microsoft/DeepSpeed/actions/runs/7434747598 failed.\n\n", "before_files": [{"content": "# Copyright (c) Microsoft Corporation.\n# SPDX-License-Identifier: Apache-2.0\n\n# DeepSpeed Team\n\nfrom ..policy import DSPolicy\nfrom ...model_implementations.diffusers.vae import DSVAE\n\n\nclass VAEPolicy(DSPolicy):\n\n    def __init__(self):\n        super().__init__()\n        try:\n            import diffusers\n            if hasattr(diffusers.models.vae, \"AutoencoderKL\"):\n                self._orig_layer_class = diffusers.models.vae.AutoencoderKL\n            else:\n                # Diffusers >= 0.12.0 changes location of AutoencoderKL\n                self._orig_layer_class = diffusers.models.autoencoder_kl.AutoencoderKL\n        except ImportError:\n            self._orig_layer_class = None\n\n    def match(self, module):\n        return isinstance(module, self._orig_layer_class)\n\n    def match_replaced(self, module):\n        return isinstance(module, DSVAE)\n\n    def apply(self, module, enable_cuda_graph=True):\n        # TODO(cmikeh2): Enable cuda graph should be an inference configuration\n        return DSVAE(module, enable_cuda_graph=enable_cuda_graph)\n\n    # NOTE (lekurile): Should we have a diffusers policy class?\n    def attention(self, client_module):\n        pass\n", "path": "deepspeed/module_inject/containers/vae.py"}], "after_files": [{"content": "# Copyright (c) Microsoft Corporation.\n# SPDX-License-Identifier: Apache-2.0\n\n# DeepSpeed Team\n\nfrom ..policy import DSPolicy\nfrom ...model_implementations.diffusers.vae import DSVAE\n\n\nclass VAEPolicy(DSPolicy):\n\n    def __init__(self):\n        super().__init__()\n        try:\n            import diffusers\n            if hasattr(diffusers.models.autoencoders.vae, \"AutoencoderKL\"):\n                self._orig_layer_class = diffusers.models.autoencoders.vae.AutoencoderKL\n            else:\n                # Diffusers >= 0.12.0 changes location of AutoencoderKL\n                self._orig_layer_class = diffusers.models.autoencoders.autoencoder_kl.AutoencoderKL\n        except ImportError:\n            self._orig_layer_class = None\n\n    def match(self, module):\n        return isinstance(module, self._orig_layer_class)\n\n    def match_replaced(self, module):\n        return isinstance(module, DSVAE)\n\n    def apply(self, module, enable_cuda_graph=True):\n        # TODO(cmikeh2): Enable cuda graph should be an inference configuration\n        return DSVAE(module, enable_cuda_graph=enable_cuda_graph)\n\n    # NOTE (lekurile): Should we have a diffusers policy class?\n    def attention(self, client_module):\n        pass\n", "path": "deepspeed/module_inject/containers/vae.py"}]}