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