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| og:image:alt | Summary
Add a fast path for constructing StridedMemoryView from torch.Tensor objects using PyTorch's AOT Inductor (AOTI) stable C ABI, bypassing the DLPack/CAI protocol overhead.
How it works
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| Reload | https://github.com/NVIDIA/cuda-python/pull/1894 |
| Reload | https://github.com/NVIDIA/cuda-python/pull/1894 |
| Reload | https://github.com/NVIDIA/cuda-python/pull/1894 |
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| leofang:tensor-bridge-749 | https://github.com/leofang/cuda-python/tree/tensor-bridge-749 |
| Conversation | https://github.com/NVIDIA/cuda-python/pull/1894 |
| Commits37 (37) | https://github.com/NVIDIA/cuda-python/pull/1894/commits |
| Checks | https://github.com/NVIDIA/cuda-python/pull/1894/checks |
| Files changed | https://github.com/NVIDIA/cuda-python/pull/1894/files |
| Add torch.Tensor fast path for StridedMemoryView via AOTI tensor bridge | https://github.com/NVIDIA/cuda-python/pull/1894#top |
| leofang | https://github.com/leofang |
| NVIDIA:main | https://github.com/NVIDIA/cuda-python/tree/main |
| leofang:tensor-bridge-749 | https://github.com/leofang/cuda-python/tree/tensor-bridge-749 |
|
| https://github.com/leofang |
| leofang | https://github.com/leofang |
| Apr 10, 2026 | https://github.com/NVIDIA/cuda-python/pull/1894#issue-4241377993 |
| #749 | https://github.com/NVIDIA/cuda-python/issues/749 |
| Please reload this page | https://github.com/NVIDIA/cuda-python/pull/1894 |
| leofang | https://github.com/leofang |
| April 9, 2026 07:15 | https://github.com/NVIDIA/cuda-python/pull/1894#commits-pushed-82ad598 |
|
| https://github.com/leofang |
|
| https://github.com/emcastillo |
|
| https://github.com/claude |
| Add torch.Tensor fast path for StridedMemoryView via AOTI tensor bridge | https://github.com/NVIDIA/cuda-python/pull/1894/commits/82ad5980bd3cb970e73ab4d63755485edbf1338c |
| 82ad598 | https://github.com/NVIDIA/cuda-python/pull/1894/commits/82ad5980bd3cb970e73ab4d63755485edbf1338c |
| NVIDIA#749 | https://github.com/NVIDIA/cuda-python/issues/749 |
|
| https://github.com/leofang |
|
| https://github.com/emcastillo |
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| https://github.com/claude |
| Clean up tensor bridge: remove unused AOTI decls, lazy dtype, drop em… | https://github.com/NVIDIA/cuda-python/pull/1894/commits/f8f8d8c614750c475693053096345ec1a2b8b4f4 |
| f8f8d8c | https://github.com/NVIDIA/cuda-python/pull/1894/commits/f8f8d8c614750c475693053096345ec1a2b8b4f4 |
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| https://github.com/leofang |
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| https://github.com/emcastillo |
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| https://github.com/claude |
| Move torch tensor fast path into each from_* classmethod | https://github.com/NVIDIA/cuda-python/pull/1894/commits/af06e9b539cbaa4e2d6ece7187093d7edb6660c3 |
| af06e9b | https://github.com/NVIDIA/cuda-python/pull/1894/commits/af06e9b539cbaa4e2d6ece7187093d7edb6660c3 |
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| https://github.com/emcastillo |
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| https://github.com/claude |
| Add stream ordering for torch tensor bridge | https://github.com/NVIDIA/cuda-python/pull/1894/commits/44be5800c3143c6044d85bee4bccc663c383d915 |
| 44be580 | https://github.com/NVIDIA/cuda-python/pull/1894/commits/44be5800c3143c6044d85bee4bccc663c383d915 |
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| https://github.com/leofang |
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| https://github.com/emcastillo |
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| https://github.com/claude |
| Extract reusable sync_torch_stream and apply to CAI path | https://github.com/NVIDIA/cuda-python/pull/1894/commits/6e6b8a6a08603762ea3d3e2ab7f38b9542256ac4 |
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| Nits: add check_aoti helper, size_t itemsize, 2D sliced test | https://github.com/NVIDIA/cuda-python/pull/1894/commits/85caaaf230b9cb3fdef68d49221f0637f4198726 |
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| Revert itemsize to int, memoize int(stream_ptr) | https://github.com/NVIDIA/cuda-python/pull/1894/commits/9fad471540779727d7941b29b925131eddfac96e |
| 9fad471 | https://github.com/NVIDIA/cuda-python/pull/1894/commits/9fad471540779727d7941b29b925131eddfac96e |
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| Use except?-1 instead of except* for check_aoti | https://github.com/NVIDIA/cuda-python/pull/1894/commits/cc4558aff568451d00e6f11addf4a3447a68a6c9 |
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| Require PyTorch >= 2.3 for tensor bridge, move imports to module level | https://github.com/NVIDIA/cuda-python/pull/1894/commits/5f49e7a58363b9d9a1c3cc62f4de1fa833113ccf |
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| Add tensor bridge entry to 1.0.0 release notes | https://github.com/NVIDIA/cuda-python/pull/1894/commits/b98fe710cbe83ef2119f530c455c87f47502ea64 |
| b98fe71 | https://github.com/NVIDIA/cuda-python/pull/1894/commits/b98fe710cbe83ef2119f530c455c87f47502ea64 |
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| Update speedup range in release notes to match benchmarks | https://github.com/NVIDIA/cuda-python/pull/1894/commits/30ba7d5ee383e23114ca9e009c4f8ae78bbbe839 |
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| Document THPVariable layout change across PyTorch versions | https://github.com/NVIDIA/cuda-python/pull/1894/commits/0f5764603062d7f4b72f1af4c2bde462d1a762d3 |
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| Cache type check in _is_torch_tensor for ~20% speedup | https://github.com/NVIDIA/cuda-python/pull/1894/commits/74798e7be2d460338bd931961fe74bc31b3fd172 |
| 74798e7 | https://github.com/NVIDIA/cuda-python/pull/1894/commits/74798e7be2d460338bd931961fe74bc31b3fd172 |
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| Add upper bound to torch version check (cap at 2.11) | https://github.com/NVIDIA/cuda-python/pull/1894/commits/00b8ec91b12dd4a9fa7062a48ff9c1f323d3edc5 |
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|
| https://github.com/leofang |
|
| https://github.com/emcastillo |
|
| https://github.com/claude |
| Update module docstring to document both THPVariable layouts | https://github.com/NVIDIA/cuda-python/pull/1894/commits/0c31df19dc4adc94c2d4097b90bdf868240def1c |
| 0c31df1 | https://github.com/NVIDIA/cuda-python/pull/1894/commits/0c31df19dc4adc94c2d4097b90bdf868240def1c |
|
| https://github.com/leofang |
|
| https://github.com/emcastillo |
|
| https://github.com/claude |
| Use except?-1 for sync_torch_stream instead of except* | https://github.com/NVIDIA/cuda-python/pull/1894/commits/8c202370eac25130b4d5588e17a242f5632ed794 |
| 8c20237 | https://github.com/NVIDIA/cuda-python/pull/1894/commits/8c202370eac25130b4d5588e17a242f5632ed794 |
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| Apr 10, 2026 | https://github.com/NVIDIA/cuda-python/pull/1894#issuecomment-4226323137 |
| here | https://docs.gha-runners.nvidia.com/cpr/vetters |
| here | https://docs.gha-runners.nvidia.com/cpr/contributors |
| Please reload this page | https://github.com/NVIDIA/cuda-python/pull/1894 |
| https://github.com/leofang |
| leofang | https://github.com/leofang |
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P0
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|
cuda.core
| https://github.com/NVIDIA/cuda-python/issues?q=state%3Aopen%20label%3Acuda.core |
|
performance
| https://github.com/NVIDIA/cuda-python/issues?q=state%3Aopen%20label%3Aperformance |
| Apr 10, 2026 | https://github.com/NVIDIA/cuda-python/pull/1894#event-24393282711 |
| https://github.com/leofang |
| leofang | https://github.com/leofang |
| cuda.core v1.0.0 | https://github.com/NVIDIA/cuda-python/milestone/43 |
| Apr 10, 2026 | https://github.com/NVIDIA/cuda-python/pull/1894#event-24393283880 |
| https://github.com/leofang |
| leofang | https://github.com/leofang |
| Apr 10, 2026 | https://github.com/NVIDIA/cuda-python/pull/1894#event-24393285752 |
| https://github.com/leofang |
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| NaderAlAwar | https://github.com/NaderAlAwar |
| oleksandr-pavlyk | https://github.com/oleksandr-pavlyk |
| April 10, 2026 19:46 | https://github.com/NVIDIA/cuda-python/pull/1894#event-24393339486 |
|
| https://github.com/leofang |
|
| https://github.com/emcastillo |
|
| https://github.com/claude |
| Fix linter errors | https://github.com/NVIDIA/cuda-python/pull/1894/commits/8c019b95ccc7317292bb39fdcb504a5feb4c7478 |
| 8c019b9 | https://github.com/NVIDIA/cuda-python/pull/1894/commits/8c019b95ccc7317292bb39fdcb504a5feb4c7478 |
| https://github.com/leofang |
| leofang | https://github.com/leofang |
| force-pushed | https://github.com/NVIDIA/cuda-python/compare/24aeb0f28af3a8aa59ae64a01244aead8610d1e0..8c019b95ccc7317292bb39fdcb504a5feb4c7478 |
| 24aeb0f | https://github.com/NVIDIA/cuda-python/commit/24aeb0f28af3a8aa59ae64a01244aead8610d1e0 |
| 8c019b9 | https://github.com/NVIDIA/cuda-python/commit/8c019b95ccc7317292bb39fdcb504a5feb4c7478 |
|
Compare
| https://github.com/NVIDIA/cuda-python/compare/24aeb0f28af3a8aa59ae64a01244aead8610d1e0..8c019b95ccc7317292bb39fdcb504a5feb4c7478 |
| April 10, 2026 20:10 | https://github.com/NVIDIA/cuda-python/pull/1894#event-24393979532 |
| https://github.com/leofang |
| leofang | https://github.com/leofang |
| emcastillo | https://github.com/emcastillo |
| Apr 10, 2026 | https://github.com/NVIDIA/cuda-python/pull/1894#event-24395206514 |
| https://github.com/leofang |
| leofang | https://github.com/leofang |
|
Apr 11, 2026
| https://github.com/NVIDIA/cuda-python/pull/1894#ref-issue-4243019588 |
|
Allow getting AtenTensorHandle from the tensor object via AOTI stable C API
pytorch/pytorch#180107
| https://github.com/pytorch/pytorch/issues/180107 |
| https://github.com/leofang |
| leofang | https://github.com/leofang |
|
Apr 11, 2026
| https://github.com/NVIDIA/cuda-python/pull/1894#pullrequestreview-4093398870 |
|
View reviewed changes
| https://github.com/NVIDIA/cuda-python/pull/1894/files/8c019b95ccc7317292bb39fdcb504a5feb4c7478 |
| cuda_core/cuda/core/_tensor_bridge.pyx | https://github.com/NVIDIA/cuda-python/pull/1894/files/8c019b95ccc7317292bb39fdcb504a5feb4c7478#diff-173fab5011f37111a063376a5c7f7974f8ef99ae11fe6e42be5b1d8d42013196 |
| leofang | https://github.com/leofang |
| Apr 11, 2026 | https://github.com/NVIDIA/cuda-python/pull/1894#discussion_r3067589886 |
| Learn more | https://docs.github.com/articles/managing-disruptive-comments/#hiding-a-comment |
| pytorch/pytorch#180107 | https://github.com/pytorch/pytorch/issues/180107 |
| Please reload this page | https://github.com/NVIDIA/cuda-python/pull/1894 |
|
| https://github.com/leofang |
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| https://github.com/claude |
| Fix pyobj_to_aten_handle for PyTorch 2.3–2.9 MaybeOwned layout | https://github.com/NVIDIA/cuda-python/pull/1894/commits/66826461318d459431bcd26bb4b3b7c1001585cd |
| 6682646 | https://github.com/NVIDIA/cuda-python/pull/1894/commits/66826461318d459431bcd26bb4b3b7c1001585cd |
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breaking
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Fix torch-incompatible assertions in TestViewCudaArrayInterfaceGPU
#1999
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Fix tensor bridge DLL import failure on Windows
#1988
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May 1, 2026
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| #… | https://github.com/NVIDIA/cuda-python/pull/1999 |
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| …1999 | https://github.com/NVIDIA/cuda-python/pull/1999 |
| #1894 | https://github.com/NVIDIA/cuda-python/pull/1894 |
| #1894 | https://github.com/NVIDIA/cuda-python/pull/1894 |
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May 8, 2026
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[FEA]: Support importing __c_dlpack_exchange_api__ objects as StridedMemoryView
#1439
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May 18, 2026
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Bump tensor bridge version cap for PyTorch 2.12
#2089
| https://github.com/NVIDIA/cuda-python/issues/2089 |
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Jun 17, 2026
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| ca73fb4 | https://github.com/rparolin/cuda-python/commit/ca73fb47170c22a204076cc25f54d8fe7f87ff4d |
| NVIDIA#1894 | https://github.com/NVIDIA/cuda-python/pull/1894 |
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Jun 27, 2026
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| #467 | https://github.com/NVIDIA/cuda-python/issues/467 |
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| #467 | https://github.com/NVIDIA/cuda-python/issues/467 |
| #467 | https://github.com/NVIDIA/cuda-python/issues/467 |
| #467 | https://github.com/NVIDIA/cuda-python/issues/467 |
| #2188 | https://github.com/NVIDIA/cuda-python/issues/2188 |
| #1 | https://github.com/NVIDIA/cuda-python/issues/1 |
| #6 | https://github.com/NVIDIA/cuda-python/issues/6 |
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| #2188 | https://github.com/NVIDIA/cuda-python/issues/2188 |
| #6 | https://github.com/NVIDIA/cuda-python/issues/6 |
| #1858 | https://github.com/NVIDIA/cuda-python/pull/1858 |
| #2188 | https://github.com/NVIDIA/cuda-python/issues/2188 |
| #2188 | https://github.com/NVIDIA/cuda-python/issues/2188 |
| #2188 | https://github.com/NVIDIA/cuda-python/issues/2188 |
| #2188 | https://github.com/NVIDIA/cuda-python/issues/2188 |
| #2188 | https://github.com/NVIDIA/cuda-python/issues/2188 |
| #2188 | https://github.com/NVIDIA/cuda-python/issues/2188 |
| #1894 | https://github.com/NVIDIA/cuda-python/pull/1894 |
| #2095 | https://github.com/NVIDIA/cuda-python/pull/2095 |
| #2188 | https://github.com/NVIDIA/cuda-python/issues/2188 |
| #2095 | https://github.com/NVIDIA/cuda-python/pull/2095 |
| #2095 | https://github.com/NVIDIA/cuda-python/pull/2095 |
| #1 | https://github.com/NVIDIA/cuda-python/issues/1 |
| #2095 | https://github.com/NVIDIA/cuda-python/pull/2095 |
| #2188 | https://github.com/NVIDIA/cuda-python/issues/2188 |
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Oct 30, 2026
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cuda.core: use torch 2.14+ stable PyObject->Tensor shim, drop upper version cap
#3033
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breaking
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cuda.core
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P0
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performance
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cuda.core v1.0.0
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Provide a fast path for constructing a StridedMemoryView from a torch.tensor
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