## Motivation
The DLPack device type kDLOneAPI stands for the Unified Shared Memory allocated on a oneAPI device. The corresponding Pytorch backend type is XPU.
Support to export/import the Pytorch XPU tensor as a DLPack tensor of kDLOneAPI device.
## Solution
1. Update the DLPack protocol to v0.7.
2. Add the XPU hooks to map the Aten device and DLPack device with the address value and device information.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/78154
Approved by: https://github.com/ezyang
Summary:
This moves the warning to the legacy function where it belongs, improves the phrasing, and adds examples.
There may be more to do to make `from_dlpack` more discoverable as a follow-up, because in multiple issues/PR we discovered people wanted new things (e.g., a memoryview-like object, or `__array_interface__` support) that `from_dlpack` already provides.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/70437
Reviewed By: albanD
Differential Revision: D33760552
Pulled By: mruberry
fbshipit-source-id: e8a61fa99d42331cc4bf3adfe494cab13ca6d499
(cherry picked from commit 880ad96659)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/13141
This is an example diff to show what lint rules are being applied.
Reviewed By: mingzhe09088
Differential Revision: D10858478
fbshipit-source-id: cbeb013f10f755b0095478adf79366e7cf7836ff
Summary:
dlpacks deserve documentation. :)
I wonder whether it might make sense to merge the various small torch.utils pages (and include a link for the larger ones, e.g. data) to enhance the structure in the docs.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/9343
Differential Revision: D8801227
Pulled By: soumith
fbshipit-source-id: 2980d271971743b86f052bec5a2cb4d146a90d9b
