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This PR introduces C++ RAII-based resource handles for CUDA objects in cuda.core. The handles use std::shared_ptr with custom deleters to ensure proper destruction order and prevent resourc... |
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| #1303 comments | https://github.com/NVIDIA/cuda-python/issues/1303#issuecomment-2631556085 |
| Implement a handle-based resource management layer #1303 | https://github.com/NVIDIA/cuda-python/issues/1303 |
| Buffer.handle should be intptr_t #1342 | https://github.com/NVIDIA/cuda-python/issues/1342 |
| from_handle constructors need to allow managing ownership #1187 | https://github.com/NVIDIA/cuda-python/issues/1187 |
| Please reload this page | https://github.com/NVIDIA/cuda-python/pull/1368 |
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Compare
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| December 12, 2025 08:20 | https://github.com/NVIDIA/cuda-python/pull/1368#commits-pushed-20d33da |
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| Centralize context management code | https://github.com/NVIDIA/cuda-python/pull/1368/commits/20d33da87641d6463711f86ef39e98f0f4623f51 |
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| Integrate resource handles into Context class | https://github.com/NVIDIA/cuda-python/pull/1368/commits/758f9f9aede579d59d93f74b069083c21f58244a |
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| Refactor context helpers to use ContextHandle and TLS cache | https://github.com/NVIDIA/cuda-python/pull/1368/commits/31880d4e973b0a7a254b1289eda178f6e7b85f0e |
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| Add helper functions to extract raw resources from ContextHandle | https://github.com/NVIDIA/cuda-python/pull/1368/commits/c173e3d1f4ed764a4495042fecbdc1649b0d914a |
| c173e3d | https://github.com/NVIDIA/cuda-python/pull/1368/commits/c173e3d1f4ed764a4495042fecbdc1649b0d914a |
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| Fix link error by loading _resource_handles with RTLD_GLOBAL | https://github.com/NVIDIA/cuda-python/pull/1368/commits/625a86f077f0d95a737b920a943654dec4caabef |
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| Move helper functions to C++ for overloading support | https://github.com/NVIDIA/cuda-python/pull/1368/commits/c0cbacd21c89b3ea08b68500f6802f0c5c6b5eb4 |
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| Refactor Stream to use ContextHandle and simplify initialization | https://github.com/NVIDIA/cuda-python/pull/1368/commits/f90e625f3b69c45131fdbd33b87f5c7763b76a1d |
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| NVIDIA#1342 | https://github.com/NVIDIA/cuda-python/issues/1342 |
| NVIDIA#1342 | https://github.com/NVIDIA/cuda-python/issues/1342 |
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|
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| Fix lint issues: remove unused imports and variables | https://github.com/NVIDIA/cuda-python/pull/1368/commits/937428b7d6fc97079c79929856f9008626a7f407 |
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|
Compare
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| December 12, 2025 16:30 | https://github.com/NVIDIA/cuda-python/pull/1368#event-21531922114 |
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| Dec 15, 2025 | https://github.com/NVIDIA/cuda-python/pull/1368#event-21553818591 |
| https://github.com/Andy-Jost |
| Andy-Jost | https://github.com/Andy-Jost |
| Dec 15, 2025 | https://github.com/NVIDIA/cuda-python/pull/1368#issuecomment-3656957854 |
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| Please reload this page | https://github.com/NVIDIA/cuda-python/pull/1368 |
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| December 16, 2025 12:55 | https://github.com/NVIDIA/cuda-python/pull/1368#commits-pushed-cce5e9f |
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Jan 9, 2026
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View reviewed changes
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Jan 9, 2026
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Investigate using __pyx_capi__ to simplify resource handle architecture
#1450
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Jan 9, 2026
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Investigate eliminating _CXX_API capsule for resource handle functions
#1452
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Jan 11, 2026
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[BUG]: Extremely slow cuda_core/tests/test_helpers.py::test_patterngen_seeds on Windows
#1455
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Feb 18, 2026
| https://github.com/NVIDIA/cuda-python/pull/1368#ref-pullrequest-3960055668 |
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[doc-only] cuda.core v0.6.0 release notes
#1651
| https://github.com/NVIDIA/cuda-python/pull/1651 |
| https://github.com/bdice |
| bdice | https://github.com/bdice |
|
Aug 31, 2026
| https://github.com/NVIDIA/cuda-python/pull/1368#ref-issue-5305788702 |
|
[BUG]: Primary-context TLS destructor segfaults after Python finalization
#2743
| https://github.com/NVIDIA/cuda-python/issues/2743 |
|
clear_mempool_peer_access() never takes effect: nvbug 5698116 workaround has been a no-op since #1368
#2807
| https://github.com/NVIDIA/cuda-python/issues/2807 |
|
cuda.core: fix the peer-access cleanup before pool destroy
#2871
| https://github.com/NVIDIA/cuda-python/pull/2871 |
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mdboom
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cuda.core
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enhancement
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P0
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cuda.core v0.6.0
| https://github.com/NVIDIA/cuda-python/milestone/29 |
|
Buffer.handle should be intptr_t
| https://github.com/NVIDIA/cuda-python/issues/1342 |
|
Implement a handle-based resource management layer
| https://github.com/NVIDIA/cuda-python/issues/1303 |
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