We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Make optional Triton requirement more robust
# 🐛 Bug

Triton is currently an optional dependency, see
https://github.com/facebookresearch/xformers/blob/51dd1192620271598ba71bb1351c1c5508720b31/xformers/__init__.py#L75-L82

But if the installed version doesn't respect certain constraints, users can have issues at import time, such as https://github.com/huggingface/diffusers/pull/532#issuecomment-1249527248

We should probably make the triton requirement a bit more robust

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `xformers/__init__.py`
Content:
```
1 # Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
2 #
3 # This source code is licensed under the BSD license found in the
4 # LICENSE file in the root directory of this source tree.
5 
6 import logging
7 
8 import torch
9 
10 # Please update the doc version in docs/source/conf.py as well.
11 __version__ = "0.0.13.dev"
12 
13 _is_sparse_available: bool = True
14 _is_triton_available: bool = torch.cuda.is_available()
15 
16 # Set to true to utilize functorch
17 _is_functorch_available: bool = False
18 
19 
20 def _register_extensions():
21     import importlib
22     import os
23 
24     import torch
25 
26     # load the custom_op_library and register the custom ops
27     lib_dir = os.path.dirname(__file__)
28     if os.name == "nt":
29         # Register the main torchvision library location on the default DLL path
30         import ctypes
31         import sys
32 
33         kernel32 = ctypes.WinDLL("kernel32.dll", use_last_error=True)
34         with_load_library_flags = hasattr(kernel32, "AddDllDirectory")
35         prev_error_mode = kernel32.SetErrorMode(0x0001)
36 
37         if with_load_library_flags:
38             kernel32.AddDllDirectory.restype = ctypes.c_void_p
39 
40         if sys.version_info >= (3, 8):
41             os.add_dll_directory(lib_dir)
42         elif with_load_library_flags:
43             res = kernel32.AddDllDirectory(lib_dir)
44             if res is None:
45                 err = ctypes.WinError(ctypes.get_last_error())
46                 err.strerror += f' Error adding "{lib_dir}" to the DLL directories.'
47                 raise err
48 
49         kernel32.SetErrorMode(prev_error_mode)
50 
51     loader_details = (
52         importlib.machinery.ExtensionFileLoader,
53         importlib.machinery.EXTENSION_SUFFIXES,
54     )
55 
56     extfinder = importlib.machinery.FileFinder(lib_dir, loader_details)
57     ext_specs = extfinder.find_spec("_C")
58     if ext_specs is None:
59         raise ImportError
60     torch.ops.load_library(ext_specs.origin)
61 
62 
63 if _is_sparse_available:
64     try:
65         _register_extensions()
66     except (ImportError, OSError) as e:
67         print(e)
68         logging.warning(
69             f"WARNING: {e}\nNeed to compile C++ extensions to get sparse attention suport."
70             + " Please run python setup.py build develop"
71         )
72         _is_sparse_available = False
73 
74 
75 if _is_triton_available:
76     try:
77         from xformers.triton.softmax import softmax as triton_softmax  # noqa
78     except ImportError as e:
79         logging.warning(
80             f"Triton is not available, some optimizations will not be enabled.\nError {e}"
81         )
82         _is_triton_available = False
83 
84 
85 if _is_functorch_available:
86     try:
87         from xformers.components.nvfuser import NVFusedBiasActivationDropout  # noqa
88     except ImportError as e:
89         logging.warning(
90             f"Functorch is not available, some optimizations will not be enabled.\nError {e}"
91         )
92         _is_functorch_available = False
93
```
--- 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/xformers/__init__.py b/xformers/__init__.py
--- a/xformers/__init__.py
+++ b/xformers/__init__.py
@@ -75,9 +75,9 @@
 if _is_triton_available:
     try:
         from xformers.triton.softmax import softmax as triton_softmax  # noqa
-    except ImportError as e:
+    except (ImportError, AttributeError) as e:
         logging.warning(
-            f"Triton is not available, some optimizations will not be enabled.\nError {e}"
+            f"A matching Triton is not available, some optimizations will not be enabled.\nError caught was: {e}"
         )
         _is_triton_available = False
 
@@ -87,6 +87,6 @@
         from xformers.components.nvfuser import NVFusedBiasActivationDropout  # noqa
     except ImportError as e:
         logging.warning(
-            f"Functorch is not available, some optimizations will not be enabled.\nError {e}"
+            f"Functorch is not available, some optimizations will not be enabled.\nError caught was: {e}"
         )
         _is_functorch_available = False

{"golden_diff": "diff --git a/xformers/__init__.py b/xformers/__init__.py\n--- a/xformers/__init__.py\n+++ b/xformers/__init__.py\n@@ -75,9 +75,9 @@\n if _is_triton_available:\n     try:\n         from xformers.triton.softmax import softmax as triton_softmax  # noqa\n-    except ImportError as e:\n+    except (ImportError, AttributeError) as e:\n         logging.warning(\n-            f\"Triton is not available, some optimizations will not be enabled.\\nError {e}\"\n+            f\"A matching Triton is not available, some optimizations will not be enabled.\\nError caught was: {e}\"\n         )\n         _is_triton_available = False\n \n@@ -87,6 +87,6 @@\n         from xformers.components.nvfuser import NVFusedBiasActivationDropout  # noqa\n     except ImportError as e:\n         logging.warning(\n-            f\"Functorch is not available, some optimizations will not be enabled.\\nError {e}\"\n+            f\"Functorch is not available, some optimizations will not be enabled.\\nError caught was: {e}\"\n         )\n         _is_functorch_available = False\n", "issue": "Make optional Triton requirement more robust\n# \ud83d\udc1b Bug\r\n\r\nTriton is currently an optional dependency, see\r\nhttps://github.com/facebookresearch/xformers/blob/51dd1192620271598ba71bb1351c1c5508720b31/xformers/__init__.py#L75-L82\r\n\r\nBut if the installed version doesn't respect certain constraints, users can have issues at import time, such as https://github.com/huggingface/diffusers/pull/532#issuecomment-1249527248\r\n\r\nWe should probably make the triton requirement a bit more robust\n", "before_files": [{"content": "# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.\n#\n# This source code is licensed under the BSD license found in the\n# LICENSE file in the root directory of this source tree.\n\nimport logging\n\nimport torch\n\n# Please update the doc version in docs/source/conf.py as well.\n__version__ = \"0.0.13.dev\"\n\n_is_sparse_available: bool = True\n_is_triton_available: bool = torch.cuda.is_available()\n\n# Set to true to utilize functorch\n_is_functorch_available: bool = False\n\n\ndef _register_extensions():\n    import importlib\n    import os\n\n    import torch\n\n    # load the custom_op_library and register the custom ops\n    lib_dir = os.path.dirname(__file__)\n    if os.name == \"nt\":\n        # Register the main torchvision library location on the default DLL path\n        import ctypes\n        import sys\n\n        kernel32 = ctypes.WinDLL(\"kernel32.dll\", use_last_error=True)\n        with_load_library_flags = hasattr(kernel32, \"AddDllDirectory\")\n        prev_error_mode = kernel32.SetErrorMode(0x0001)\n\n        if with_load_library_flags:\n            kernel32.AddDllDirectory.restype = ctypes.c_void_p\n\n        if sys.version_info >= (3, 8):\n            os.add_dll_directory(lib_dir)\n        elif with_load_library_flags:\n            res = kernel32.AddDllDirectory(lib_dir)\n            if res is None:\n                err = ctypes.WinError(ctypes.get_last_error())\n                err.strerror += f' Error adding \"{lib_dir}\" to the DLL directories.'\n                raise err\n\n        kernel32.SetErrorMode(prev_error_mode)\n\n    loader_details = (\n        importlib.machinery.ExtensionFileLoader,\n        importlib.machinery.EXTENSION_SUFFIXES,\n    )\n\n    extfinder = importlib.machinery.FileFinder(lib_dir, loader_details)\n    ext_specs = extfinder.find_spec(\"_C\")\n    if ext_specs is None:\n        raise ImportError\n    torch.ops.load_library(ext_specs.origin)\n\n\nif _is_sparse_available:\n    try:\n        _register_extensions()\n    except (ImportError, OSError) as e:\n        print(e)\n        logging.warning(\n            f\"WARNING: {e}\\nNeed to compile C++ extensions to get sparse attention suport.\"\n            + \" Please run python setup.py build develop\"\n        )\n        _is_sparse_available = False\n\n\nif _is_triton_available:\n    try:\n        from xformers.triton.softmax import softmax as triton_softmax  # noqa\n    except ImportError as e:\n        logging.warning(\n            f\"Triton is not available, some optimizations will not be enabled.\\nError {e}\"\n        )\n        _is_triton_available = False\n\n\nif _is_functorch_available:\n    try:\n        from xformers.components.nvfuser import NVFusedBiasActivationDropout  # noqa\n    except ImportError as e:\n        logging.warning(\n            f\"Functorch is not available, some optimizations will not be enabled.\\nError {e}\"\n        )\n        _is_functorch_available = False\n", "path": "xformers/__init__.py"}], "after_files": [{"content": "# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.\n#\n# This source code is licensed under the BSD license found in the\n# LICENSE file in the root directory of this source tree.\n\nimport logging\n\nimport torch\n\n# Please update the doc version in docs/source/conf.py as well.\n__version__ = \"0.0.13.dev\"\n\n_is_sparse_available: bool = True\n_is_triton_available: bool = torch.cuda.is_available()\n\n# Set to true to utilize functorch\n_is_functorch_available: bool = False\n\n\ndef _register_extensions():\n    import importlib\n    import os\n\n    import torch\n\n    # load the custom_op_library and register the custom ops\n    lib_dir = os.path.dirname(__file__)\n    if os.name == \"nt\":\n        # Register the main torchvision library location on the default DLL path\n        import ctypes\n        import sys\n\n        kernel32 = ctypes.WinDLL(\"kernel32.dll\", use_last_error=True)\n        with_load_library_flags = hasattr(kernel32, \"AddDllDirectory\")\n        prev_error_mode = kernel32.SetErrorMode(0x0001)\n\n        if with_load_library_flags:\n            kernel32.AddDllDirectory.restype = ctypes.c_void_p\n\n        if sys.version_info >= (3, 8):\n            os.add_dll_directory(lib_dir)\n        elif with_load_library_flags:\n            res = kernel32.AddDllDirectory(lib_dir)\n            if res is None:\n                err = ctypes.WinError(ctypes.get_last_error())\n                err.strerror += f' Error adding \"{lib_dir}\" to the DLL directories.'\n                raise err\n\n        kernel32.SetErrorMode(prev_error_mode)\n\n    loader_details = (\n        importlib.machinery.ExtensionFileLoader,\n        importlib.machinery.EXTENSION_SUFFIXES,\n    )\n\n    extfinder = importlib.machinery.FileFinder(lib_dir, loader_details)\n    ext_specs = extfinder.find_spec(\"_C\")\n    if ext_specs is None:\n        raise ImportError\n    torch.ops.load_library(ext_specs.origin)\n\n\nif _is_sparse_available:\n    try:\n        _register_extensions()\n    except (ImportError, OSError) as e:\n        print(e)\n        logging.warning(\n            f\"WARNING: {e}\\nNeed to compile C++ extensions to get sparse attention suport.\"\n            + \" Please run python setup.py build develop\"\n        )\n        _is_sparse_available = False\n\n\nif _is_triton_available:\n    try:\n        from xformers.triton.softmax import softmax as triton_softmax  # noqa\n    except (ImportError, AttributeError) as e:\n        logging.warning(\n            f\"A matching Triton is not available, some optimizations will not be enabled.\\nError caught was: {e}\"\n        )\n        _is_triton_available = False\n\n\nif _is_functorch_available:\n    try:\n        from xformers.components.nvfuser import NVFusedBiasActivationDropout  # noqa\n    except ImportError as e:\n        logging.warning(\n            f\"Functorch is not available, some optimizations will not be enabled.\\nError caught was: {e}\"\n        )\n        _is_functorch_available = False\n", "path": "xformers/__init__.py"}]}