prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  [TEST][FLAKY] test_dlpack
  Both #2749 and #2353 encountered seg fault error at test_dlpack.
  http://ci.tvm.ai:8080/blue/organizations/jenkins/tvm/detail/PR-2749/2/pipeline
  http://ci.tvm.ai:8080/blue/organizations/jenkins/tvm/detail/PR-2353/48/pipeline
  
  cc @eqy , could you help look at this?
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `python/tvm/_ffi/_ctypes/ndarray.py`
  Content:
  ```
  1 # pylint: disable=invalid-name
  2 """Runtime NDArray api"""
  3 from __future__ import absolute_import
  4 
  5 import ctypes
  6 from ..base import _LIB, check_call, c_str
  7 from ..runtime_ctypes import TVMArrayHandle, TVMNDArrayContainerHandle
  8 from .types import RETURN_SWITCH, C_TO_PY_ARG_SWITCH, _wrap_arg_func, _return_handle
  9 
  10 
  11 TVMPyCapsuleDestructor = ctypes.CFUNCTYPE(None, ctypes.c_void_p)
  12 _c_str_dltensor = c_str('dltensor')
  13 _c_str_used_dltensor = c_str('used_dltensor')
  14 
  15 
  16 # used for PyCapsule manipulation
  17 if hasattr(ctypes, 'pythonapi'):
  18     ctypes.pythonapi.PyCapsule_GetName.restype = ctypes.c_char_p
  19     ctypes.pythonapi.PyCapsule_GetPointer.restype = ctypes.c_void_p
  20     ctypes.pythonapi.PyCapsule_New.restype = ctypes.py_object
  21 
  22 
  23 def _from_dlpack(dltensor):
  24     dltensor = ctypes.py_object(dltensor)
  25     if ctypes.pythonapi.PyCapsule_IsValid(dltensor, _c_str_dltensor):
  26         ptr = ctypes.pythonapi.PyCapsule_GetPointer(dltensor, _c_str_dltensor)
  27         handle = TVMArrayHandle()
  28         check_call(_LIB.TVMArrayFromDLPack(ptr, ctypes.byref(handle)))
  29         ctypes.pythonapi.PyCapsule_SetName(dltensor, _c_str_used_dltensor)
  30         ctypes.pythonapi.PyCapsule_SetDestructor(dltensor, TVMPyCapsuleDestructor(0))
  31         return _make_array(handle, False, False)
  32     raise ValueError("Expect a dltensor field, PyCapsule can only be consumed once")
  33 
  34 
  35 def _dlpack_deleter(pycapsule):
  36     pycapsule = ctypes.cast(pycapsule, ctypes.py_object)
  37     if ctypes.pythonapi.PyCapsule_IsValid(pycapsule, _c_str_dltensor):
  38         ptr = ctypes.pythonapi.PyCapsule_GetPointer(pycapsule, _c_str_dltensor)
  39         _LIB.TVMDLManagedTensorCallDeleter(ptr)
  40         ctypes.pythonapi.PyCapsule_SetDestructor(dltensor, TVMPyCapsuleDestructor(0))
  41 
  42 _c_dlpack_deleter = TVMPyCapsuleDestructor(_dlpack_deleter)
  43 
  44 
  45 class NDArrayBase(object):
  46     """A simple Device/CPU Array object in runtime."""
  47     __slots__ = ["handle", "is_view"]
  48     # pylint: disable=no-member
  49     def __init__(self, handle, is_view=False):
  50         """Initialize the function with handle
  51 
  52         Parameters
  53         ----------
  54         handle : TVMArrayHandle
  55             the handle to the underlying C++ TVMArray
  56         """
  57         self.handle = handle
  58         self.is_view = is_view
  59 
  60     def __del__(self):
  61         if not self.is_view and _LIB:
  62             check_call(_LIB.TVMArrayFree(self.handle))
  63 
  64     @property
  65     def _tvm_handle(self):
  66         return ctypes.cast(self.handle, ctypes.c_void_p).value
  67 
  68     def to_dlpack(self):
  69         """Produce an array from a DLPack Tensor without copying memory
  70 
  71         Returns
  72         -------
  73         dlpack : DLPack tensor view of the array data
  74         """
  75         handle = ctypes.c_void_p()
  76         check_call(_LIB.TVMArrayToDLPack(self.handle, ctypes.byref(handle)))
  77         return ctypes.pythonapi.PyCapsule_New(handle, _c_str_dltensor, _c_dlpack_deleter)
  78 
  79 
  80 def _make_array(handle, is_view, is_container):
  81     global _TVM_ND_CLS
  82     handle = ctypes.cast(handle, TVMArrayHandle)
  83     fcreate = _CLASS_NDARRAY
  84     if is_container and _TVM_ND_CLS:
  85         array_type_info = ctypes.cast(handle, TVMNDArrayContainerHandle).array_type_info.value
  86         if array_type_info > 0:
  87             fcreate = _TVM_ND_CLS[array_type_info]
  88     return fcreate(handle, is_view)
  89 
  90 _TVM_COMPATS = ()
  91 
  92 def _reg_extension(cls, fcreate):
  93     global _TVM_COMPATS
  94     _TVM_COMPATS += (cls,)
  95     if fcreate:
  96         fret = lambda x: fcreate(_return_handle(x))
  97         RETURN_SWITCH[cls._tvm_tcode] = fret
  98         C_TO_PY_ARG_SWITCH[cls._tvm_tcode] = _wrap_arg_func(fret, cls._tvm_tcode)
  99 
  100 _TVM_ND_CLS = {}
  101 
  102 def _reg_ndarray(cls, fcreate):
  103     global _TVM_ND_CLS
  104     _TVM_ND_CLS[cls._array_type_code] = fcreate
  105 
  106 _CLASS_NDARRAY = None
  107 
  108 def _set_class_ndarray(cls):
  109     global _CLASS_NDARRAY
  110     _CLASS_NDARRAY = cls
  111
  ```
  --- 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/python/tvm/_ffi/_ctypes/ndarray.py b/python/tvm/_ffi/_ctypes/ndarray.py
  --- a/python/tvm/_ffi/_ctypes/ndarray.py
  +++ b/python/tvm/_ffi/_ctypes/ndarray.py
  @@ -24,6 +24,8 @@
       dltensor = ctypes.py_object(dltensor)
       if ctypes.pythonapi.PyCapsule_IsValid(dltensor, _c_str_dltensor):
           ptr = ctypes.pythonapi.PyCapsule_GetPointer(dltensor, _c_str_dltensor)
  +        # enforce type to make sure it works for all ctypes
  +        ptr = ctypes.cast(ptr, ctypes.c_void_p)
           handle = TVMArrayHandle()
           check_call(_LIB.TVMArrayFromDLPack(ptr, ctypes.byref(handle)))
           ctypes.pythonapi.PyCapsule_SetName(dltensor, _c_str_used_dltensor)
  @@ -36,6 +38,8 @@
       pycapsule = ctypes.cast(pycapsule, ctypes.py_object)
       if ctypes.pythonapi.PyCapsule_IsValid(pycapsule, _c_str_dltensor):
           ptr = ctypes.pythonapi.PyCapsule_GetPointer(pycapsule, _c_str_dltensor)
  +        # enforce type to make sure it works for all ctypes
  +        ptr = ctypes.cast(ctypes.c_void_p, ptr)
           _LIB.TVMDLManagedTensorCallDeleter(ptr)
           ctypes.pythonapi.PyCapsule_SetDestructor(dltensor, TVMPyCapsuleDestructor(0))
  
verification_info: {"golden_diff": "diff --git a/python/tvm/_ffi/_ctypes/ndarray.py b/python/tvm/_ffi/_ctypes/ndarray.py\n--- a/python/tvm/_ffi/_ctypes/ndarray.py\n+++ b/python/tvm/_ffi/_ctypes/ndarray.py\n@@ -24,6 +24,8 @@\n     dltensor = ctypes.py_object(dltensor)\n     if ctypes.pythonapi.PyCapsule_IsValid(dltensor, _c_str_dltensor):\n         ptr = ctypes.pythonapi.PyCapsule_GetPointer(dltensor, _c_str_dltensor)\n+        # enforce type to make sure it works for all ctypes\n+        ptr = ctypes.cast(ptr, ctypes.c_void_p)\n         handle = TVMArrayHandle()\n         check_call(_LIB.TVMArrayFromDLPack(ptr, ctypes.byref(handle)))\n         ctypes.pythonapi.PyCapsule_SetName(dltensor, _c_str_used_dltensor)\n@@ -36,6 +38,8 @@\n     pycapsule = ctypes.cast(pycapsule, ctypes.py_object)\n     if ctypes.pythonapi.PyCapsule_IsValid(pycapsule, _c_str_dltensor):\n         ptr = ctypes.pythonapi.PyCapsule_GetPointer(pycapsule, _c_str_dltensor)\n+        # enforce type to make sure it works for all ctypes\n+        ptr = ctypes.cast(ctypes.c_void_p, ptr)\n         _LIB.TVMDLManagedTensorCallDeleter(ptr)\n         ctypes.pythonapi.PyCapsule_SetDestructor(dltensor, TVMPyCapsuleDestructor(0))\n", "issue": "[TEST][FLAKY] test_dlpack\nBoth #2749 and #2353 encountered seg fault error at test_dlpack.\r\nhttp://ci.tvm.ai:8080/blue/organizations/jenkins/tvm/detail/PR-2749/2/pipeline\r\nhttp://ci.tvm.ai:8080/blue/organizations/jenkins/tvm/detail/PR-2353/48/pipeline\r\n\r\ncc @eqy , could you help look at this?\n", "before_files": [{"content": "# pylint: disable=invalid-name\n\"\"\"Runtime NDArray api\"\"\"\nfrom __future__ import absolute_import\n\nimport ctypes\nfrom ..base import _LIB, check_call, c_str\nfrom ..runtime_ctypes import TVMArrayHandle, TVMNDArrayContainerHandle\nfrom .types import RETURN_SWITCH, C_TO_PY_ARG_SWITCH, _wrap_arg_func, _return_handle\n\n\nTVMPyCapsuleDestructor = ctypes.CFUNCTYPE(None, ctypes.c_void_p)\n_c_str_dltensor = c_str('dltensor')\n_c_str_used_dltensor = c_str('used_dltensor')\n\n\n# used for PyCapsule manipulation\nif hasattr(ctypes, 'pythonapi'):\n    ctypes.pythonapi.PyCapsule_GetName.restype = ctypes.c_char_p\n    ctypes.pythonapi.PyCapsule_GetPointer.restype = ctypes.c_void_p\n    ctypes.pythonapi.PyCapsule_New.restype = ctypes.py_object\n\n\ndef _from_dlpack(dltensor):\n    dltensor = ctypes.py_object(dltensor)\n    if ctypes.pythonapi.PyCapsule_IsValid(dltensor, _c_str_dltensor):\n        ptr = ctypes.pythonapi.PyCapsule_GetPointer(dltensor, _c_str_dltensor)\n        handle = TVMArrayHandle()\n        check_call(_LIB.TVMArrayFromDLPack(ptr, ctypes.byref(handle)))\n        ctypes.pythonapi.PyCapsule_SetName(dltensor, _c_str_used_dltensor)\n        ctypes.pythonapi.PyCapsule_SetDestructor(dltensor, TVMPyCapsuleDestructor(0))\n        return _make_array(handle, False, False)\n    raise ValueError(\"Expect a dltensor field, PyCapsule can only be consumed once\")\n\n\ndef _dlpack_deleter(pycapsule):\n    pycapsule = ctypes.cast(pycapsule, ctypes.py_object)\n    if ctypes.pythonapi.PyCapsule_IsValid(pycapsule, _c_str_dltensor):\n        ptr = ctypes.pythonapi.PyCapsule_GetPointer(pycapsule, _c_str_dltensor)\n        _LIB.TVMDLManagedTensorCallDeleter(ptr)\n        ctypes.pythonapi.PyCapsule_SetDestructor(dltensor, TVMPyCapsuleDestructor(0))\n\n_c_dlpack_deleter = TVMPyCapsuleDestructor(_dlpack_deleter)\n\n\nclass NDArrayBase(object):\n    \"\"\"A simple Device/CPU Array object in runtime.\"\"\"\n    __slots__ = [\"handle\", \"is_view\"]\n    # pylint: disable=no-member\n    def __init__(self, handle, is_view=False):\n        \"\"\"Initialize the function with handle\n\n        Parameters\n        ----------\n        handle : TVMArrayHandle\n            the handle to the underlying C++ TVMArray\n        \"\"\"\n        self.handle = handle\n        self.is_view = is_view\n\n    def __del__(self):\n        if not self.is_view and _LIB:\n            check_call(_LIB.TVMArrayFree(self.handle))\n\n    @property\n    def _tvm_handle(self):\n        return ctypes.cast(self.handle, ctypes.c_void_p).value\n\n    def to_dlpack(self):\n        \"\"\"Produce an array from a DLPack Tensor without copying memory\n\n        Returns\n        -------\n        dlpack : DLPack tensor view of the array data\n        \"\"\"\n        handle = ctypes.c_void_p()\n        check_call(_LIB.TVMArrayToDLPack(self.handle, ctypes.byref(handle)))\n        return ctypes.pythonapi.PyCapsule_New(handle, _c_str_dltensor, _c_dlpack_deleter)\n\n\ndef _make_array(handle, is_view, is_container):\n    global _TVM_ND_CLS\n    handle = ctypes.cast(handle, TVMArrayHandle)\n    fcreate = _CLASS_NDARRAY\n    if is_container and _TVM_ND_CLS:\n        array_type_info = ctypes.cast(handle, TVMNDArrayContainerHandle).array_type_info.value\n        if array_type_info > 0:\n            fcreate = _TVM_ND_CLS[array_type_info]\n    return fcreate(handle, is_view)\n\n_TVM_COMPATS = ()\n\ndef _reg_extension(cls, fcreate):\n    global _TVM_COMPATS\n    _TVM_COMPATS += (cls,)\n    if fcreate:\n        fret = lambda x: fcreate(_return_handle(x))\n        RETURN_SWITCH[cls._tvm_tcode] = fret\n        C_TO_PY_ARG_SWITCH[cls._tvm_tcode] = _wrap_arg_func(fret, cls._tvm_tcode)\n\n_TVM_ND_CLS = {}\n\ndef _reg_ndarray(cls, fcreate):\n    global _TVM_ND_CLS\n    _TVM_ND_CLS[cls._array_type_code] = fcreate\n\n_CLASS_NDARRAY = None\n\ndef _set_class_ndarray(cls):\n    global _CLASS_NDARRAY\n    _CLASS_NDARRAY = cls\n", "path": "python/tvm/_ffi/_ctypes/ndarray.py"}], "after_files": [{"content": "# pylint: disable=invalid-name\n\"\"\"Runtime NDArray api\"\"\"\nfrom __future__ import absolute_import\n\nimport ctypes\nfrom ..base import _LIB, check_call, c_str\nfrom ..runtime_ctypes import TVMArrayHandle, TVMNDArrayContainerHandle\nfrom .types import RETURN_SWITCH, C_TO_PY_ARG_SWITCH, _wrap_arg_func, _return_handle\n\n\nTVMPyCapsuleDestructor = ctypes.CFUNCTYPE(None, ctypes.c_void_p)\n_c_str_dltensor = c_str('dltensor')\n_c_str_used_dltensor = c_str('used_dltensor')\n\n\n# used for PyCapsule manipulation\nif hasattr(ctypes, 'pythonapi'):\n    ctypes.pythonapi.PyCapsule_GetName.restype = ctypes.c_char_p\n    ctypes.pythonapi.PyCapsule_GetPointer.restype = ctypes.c_void_p\n    ctypes.pythonapi.PyCapsule_New.restype = ctypes.py_object\n\n\ndef _from_dlpack(dltensor):\n    dltensor = ctypes.py_object(dltensor)\n    if ctypes.pythonapi.PyCapsule_IsValid(dltensor, _c_str_dltensor):\n        ptr = ctypes.pythonapi.PyCapsule_GetPointer(dltensor, _c_str_dltensor)\n        # enforce type to make sure it works for all ctypes\n        ptr = ctypes.cast(ptr, ctypes.c_void_p)\n        handle = TVMArrayHandle()\n        check_call(_LIB.TVMArrayFromDLPack(ptr, ctypes.byref(handle)))\n        ctypes.pythonapi.PyCapsule_SetName(dltensor, _c_str_used_dltensor)\n        ctypes.pythonapi.PyCapsule_SetDestructor(dltensor, TVMPyCapsuleDestructor(0))\n        return _make_array(handle, False, False)\n    raise ValueError(\"Expect a dltensor field, PyCapsule can only be consumed once\")\n\n\ndef _dlpack_deleter(pycapsule):\n    pycapsule = ctypes.cast(pycapsule, ctypes.py_object)\n    if ctypes.pythonapi.PyCapsule_IsValid(pycapsule, _c_str_dltensor):\n        ptr = ctypes.pythonapi.PyCapsule_GetPointer(pycapsule, _c_str_dltensor)\n        # enforce type to make sure it works for all ctypes\n        ptr = ctypes.cast(ctypes.c_void_p, ptr)\n        _LIB.TVMDLManagedTensorCallDeleter(ptr)\n        ctypes.pythonapi.PyCapsule_SetDestructor(dltensor, TVMPyCapsuleDestructor(0))\n\n_c_dlpack_deleter = TVMPyCapsuleDestructor(_dlpack_deleter)\n\n\nclass NDArrayBase(object):\n    \"\"\"A simple Device/CPU Array object in runtime.\"\"\"\n    __slots__ = [\"handle\", \"is_view\"]\n    # pylint: disable=no-member\n    def __init__(self, handle, is_view=False):\n        \"\"\"Initialize the function with handle\n\n        Parameters\n        ----------\n        handle : TVMArrayHandle\n            the handle to the underlying C++ TVMArray\n        \"\"\"\n        self.handle = handle\n        self.is_view = is_view\n\n    def __del__(self):\n        if not self.is_view and _LIB:\n            check_call(_LIB.TVMArrayFree(self.handle))\n\n    @property\n    def _tvm_handle(self):\n        return ctypes.cast(self.handle, ctypes.c_void_p).value\n\n    def to_dlpack(self):\n        \"\"\"Produce an array from a DLPack Tensor without copying memory\n\n        Returns\n        -------\n        dlpack : DLPack tensor view of the array data\n        \"\"\"\n        handle = ctypes.c_void_p()\n        check_call(_LIB.TVMArrayToDLPack(self.handle, ctypes.byref(handle)))\n        return ctypes.pythonapi.PyCapsule_New(handle, _c_str_dltensor, _c_dlpack_deleter)\n\n\ndef _make_array(handle, is_view, is_container):\n    global _TVM_ND_CLS\n    handle = ctypes.cast(handle, TVMArrayHandle)\n    fcreate = _CLASS_NDARRAY\n    if is_container and _TVM_ND_CLS:\n        array_type_info = ctypes.cast(handle, TVMNDArrayContainerHandle).array_type_info.value\n        if array_type_info > 0:\n            fcreate = _TVM_ND_CLS[array_type_info]\n    return fcreate(handle, is_view)\n\n_TVM_COMPATS = ()\n\ndef _reg_extension(cls, fcreate):\n    global _TVM_COMPATS\n    _TVM_COMPATS += (cls,)\n    if fcreate:\n        fret = lambda x: fcreate(_return_handle(x))\n        RETURN_SWITCH[cls._tvm_tcode] = fret\n        C_TO_PY_ARG_SWITCH[cls._tvm_tcode] = _wrap_arg_func(fret, cls._tvm_tcode)\n\n_TVM_ND_CLS = {}\n\ndef _reg_ndarray(cls, fcreate):\n    global _TVM_ND_CLS\n    _TVM_ND_CLS[cls._array_type_code] = fcreate\n\n_CLASS_NDARRAY = None\n\ndef _set_class_ndarray(cls):\n    global _CLASS_NDARRAY\n    _CLASS_NDARRAY = cls\n", "path": "python/tvm/_ffi/_ctypes/ndarray.py"}]}