Add support for PaddlePaddle Tensors for nb::ndarray
#1099
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PR Type
Enhancement
Related topics
nb::ndarray
Intro
Hi! I’m a researcher from the PaddlePaddle team. After our conversation at SIGGRAPH Asia 2024 (where you recommended migrating from pybind11 to nanobind), I gave nanobind a try and was impressed by its performance. As part of this effort, I’ve extended
nb::ndarray
to supportpaddle.Tensor
, allowing direct return of PaddlePaddle tensors from C++ vianb::paddle
.This PR includes:
nb::paddle
: Mirroringnb::pytorch
’s behavior, with modifications innb_ndarray.cpp
for consistent tensor handling.@needs_torch
) to validate PaddlePaddle integration.nb::paddle
(preview welcome—I’m unsure how it renders on the website).test_ndarray.py
.This change maintains backward compatibility while enabling PaddlePaddle users to leverage nanobind’s efficiency. Looking forward to feedback!