Make torch.cuda.gds APIs public #147120
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Make torch.cuda.gds APIs public #147120
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/147120
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 3 PendingAs of commit 5768d7f with merge base f95bdf5 ( UNSTABLE - The following jobs are marked as unstable, possibly due to flakiness on trunk:
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Follow up to #145748 [ghstack-poisoned]
mikaylagawarecki
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release notes: cuda
Follow up to #145748 [ghstack-poisoned]
Follow up to #145748 [ghstack-poisoned]
albanD
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Feb 13, 2025
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Sounds good, only small nits
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| def _gds_register_buffer(s: Storage) -> None: | ||
| def gds_register_buffer(s: Storage) -> None: |
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Any user of the old private APIs? Do you want to keep them to avoid breaking any previous user by doing something like _gds_register_buffer = gds_register_buffer ?
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0 hits on github from repos that are not just copy pastes of pytorch so I feel ok about breaking the BC here
| gds_register_buffer | ||
| gds_deregister_buffer | ||
| GdsFile | ||
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Can you add here or link from here to an example on how to use these APIs?
Follow up to #145748 that turned USE_CUFILE on for CUDA 12.6 and 12.8 binaries [ghstack-poisoned]
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Moving API to public sounds good.
Let's plan on having a tutorial (including serialization config needs) before 2.7 as an E2E example.
Follow up to #145748 that turned USE_CUFILE on for CUDA 12.6 and 12.8 binaries [ghstack-poisoned]
Follow up to #145748 that turned USE_CUFILE on for CUDA 12.6 and 12.8 binaries [ghstack-poisoned]
Follow up to #145748 that turned USE_CUFILE on for CUDA 12.6 and 12.8 binaries [ghstack-poisoned]
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@pytorchbot merge |
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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Feb 27, 2025
Follow up after : #147120 Cufile was enabled only on Linux: https://pypi.org/project/nvidia-cufile-cu12/#files Fixes validation workflow failues: https://github.com/pytorch/test-infra/actions/runs/13558218752/job/37896578837 ``` File "C:\Jenkins\Miniconda3\envs\conda-env-13558218752\lib\site-packages\torch\cuda\gds.py", line 105, in __init__ raise RuntimeError("GdsFile is not supported on this platform.") RuntimeError: GdsFile is not supported on this platform. Exception ignored in: <function GdsFile.__del__ at 0x000001772B5003A0> Traceback (most recent call last): File "C:\Jenkins\Miniconda3\envs\conda-env-13558218752\lib\site-packages\torch\cuda\gds.py", line 113, in __del__ if self.handle is not None: AttributeError: 'GdsFile' object has no attribute 'handle' ``` Pull Request resolved: #148060 Approved by: https://github.com/mikaylagawarecki
aditew01
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Feb 28, 2025
Follow up after : #147120 Cufile was enabled only on Linux: https://pypi.org/project/nvidia-cufile-cu12/#files Fixes validation workflow failues: https://github.com/pytorch/test-infra/actions/runs/13558218752/job/37896578837 ``` File "C:\Jenkins\Miniconda3\envs\conda-env-13558218752\lib\site-packages\torch\cuda\gds.py", line 105, in __init__ raise RuntimeError("GdsFile is not supported on this platform.") RuntimeError: GdsFile is not supported on this platform. Exception ignored in: <function GdsFile.__del__ at 0x000001772B5003A0> Traceback (most recent call last): File "C:\Jenkins\Miniconda3\envs\conda-env-13558218752\lib\site-packages\torch\cuda\gds.py", line 113, in __del__ if self.handle is not None: AttributeError: 'GdsFile' object has no attribute 'handle' ``` Pull Request resolved: #148060 Approved by: https://github.com/mikaylagawarecki
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Follow up to #145748 that turned USE_CUFILE on for CUDA 12.6 and 12.8 binaries
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