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()

```

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))

{"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"}]}