prompt: 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()
  
  ```
  
golden_diff: 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
  
verification_info: {"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"}]}