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Updates KernelAttributes to avoid possible dangling handles. #957

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Merged
merged 4 commits into from
Sep 10, 2025
Merged

Updates KernelAttributes to avoid possible dangling handles. #957

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7490ad1
Updates KernelAttributes to avoid possible dangling handles.
Andy-Jost Sep 9, 2025
651beb9
Simplifies the caching logic in KernelAttributes.
Andy-Jost Sep 9, 2025
17e4bc5
Slight change to caching logic. Fix in rst format to satisfy pre-comm…
Andy-Jost Sep 10, 2025
1878c2d
Merge branch 'main' into kernel-attributes-ref-fix
Andy-Jost Sep 10, 2025
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28 changes: 16 additions & 12 deletions cuda_core/cuda/core/experimental/_module.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@
#
# SPDX-License-Identifier: Apache-2.0

import weakref
from collections import namedtuple
from typing import Optional, Union
from warnings import warn
Expand Down Expand Up @@ -60,12 +61,12 @@ class KernelAttributes:
def __new__(self, *args, **kwargs):
raise RuntimeError("KernelAttributes cannot be instantiated directly. Please use Kernel APIs.")

slots = ("_handle", "_cache", "_backend_version", "_loader")
slots = ("_kernel", "_cache", "_backend_version", "_loader")

@classmethod
def _init(cls, handle):
def _init(cls, kernel):
self = super().__new__(cls)
self._handle = handle
self._kernel = weakref.ref(kernel)
self._cache = {}

self._backend_version = "new" if (_py_major_ver >= 12 and _driver_ver >= 12000) else "old"
Expand All @@ -74,20 +75,23 @@ def _init(cls, handle):

def _get_cached_attribute(self, device_id: int, attribute: driver.CUfunction_attribute) -> int:
"""Helper function to get a cached attribute or fetch and cache it if not present."""
if device_id in self._cache and attribute in self._cache[device_id]:
return self._cache[device_id][attribute]
cache_key = device_id, attribute
result = self._cache.get(cache_key, cache_key)
if result is not cache_key:
return result
kernel = self._kernel()
if kernel is None:
raise RuntimeError("Cannot access kernel attributes for expired Kernel object")
if self._backend_version == "new":
result = handle_return(self._loader["attribute"](attribute, self._handle, device_id))
result = handle_return(self._loader["attribute"](attribute, kernel._handle, device_id))
else: # "old" backend
warn(
"Device ID argument is ignored when getting attribute from kernel when cuda version < 12. ",
RuntimeWarning,
stacklevel=2,
)
result = handle_return(self._loader["attribute"](attribute, self._handle))
if device_id not in self._cache:
self._cache[device_id] = {}
self._cache[device_id][attribute] = result
result = handle_return(self._loader["attribute"](attribute, kernel._handle))
self._cache[cache_key] = result
return result

def max_threads_per_block(self, device_id: int = None) -> int:
Expand Down Expand Up @@ -365,7 +369,7 @@ class Kernel:

"""

__slots__ = ("_handle", "_module", "_attributes", "_occupancy")
__slots__ = ("_handle", "_module", "_attributes", "_occupancy", "__weakref__")

def __new__(self, *args, **kwargs):
raise RuntimeError("Kernel objects cannot be instantiated directly. Please use ObjectCode APIs.")
Expand All @@ -385,7 +389,7 @@ def _from_obj(cls, obj, mod):
def attributes(self) -> KernelAttributes:
"""Get the read-only attributes of this kernel."""
if self._attributes is None:
self._attributes = KernelAttributes._init(self._handle)
self._attributes = KernelAttributes._init(self)
return self._attributes

def _get_arguments_info(self, param_info=False) -> tuple[int, list[ParamInfo]]:
Expand Down
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