conforming array_api_standards via __dlpack__ and __dlpack_device__ methods

[abdulasiraj]

需求描述 Feature Description

Right now, paddle only produce and consume PyCapsules. However, dealing with raw capsules is outdated. Also, numpy doesn't supports PyCapsules. It's better if paddle tensors also support __dlpack__ and __dlpack_devce__ dunders.

替代实现 Alternatives

No response

[zhangting2020]

Thank you for your suggestion. May I know if paddle.utils.dlpack.from_dlpack(dlpack) and paddle.utils.dlpack.from_dlpack(dlpack) can meet this requirement?

[abdulasiraj]

Hi @zhangting2020,
Thanks for your response. from_dlpack and to_dlpack are legacy functions now. All frameworks are now implementing __dlpack__ and __dlpack_device__ dunders for their Tensors. It can be seen here:
https://dmlc.github.io/dlpack/latest/python_spec.html
https://data-apis.org/array-api/latest/API_specification/generated/array_api.array.__dlpack__.html

Also numpy doesn't support PyCapsules
numpy/numpy#24575