Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

!! Someone please build python wheels for giotto-tda on aarch64 (Nvidia Jetson) #695

Open
silent-code opened this issue Apr 10, 2024 · 1 comment
Labels
enhancement New feature or request

Comments

@silent-code
Copy link

The problem: Can't install giotto-tda, giotto-ph, giotto-time etc on aarch64 (NVIDIA Jetson) architectures. I get the error:

ERROR: Could not build wheels for giotto-tda.

The reason: Allowing us to use giotto-based analysis tools on embedded platforms such as Nvidia Jetson will certainly spotlight this amazing toolbox as a centerpiece for purpose-built machine learning and AI applications going forward in the future. One of the main problems with the install seems to be the turf c platform adapter used in the require install of giotto-ph. It does not appear to include the aarch64 architecture as an option and the compile fails. I do not have enough experience to modify the cmake files however. Please someone adapt this amazing toolbox to aarch64!

Thank you!

Here is my specific setup:

NVIDIA Jetson Orin AGX
L4T 34.1.1 [ JetPack 5.0-b114 ]
Ubuntu 20.04.4 LTS
Kernel Version: 5.10.65-tegra
CUDA NOT_INSTALLED
CUDA Architecture: NONE
OpenCV version: 4.5.0
OpenCV Cuda: YES
CUDNN: 8.3.2.49
TensorRT: 8.4.0.11
Vision Works: NOT_INSTALLED
VPI: ii libnvvpi2 2.0.14 arm64 NVIDIA Vision Programming Interface library
Vulcan: 1.3.203

@silent-code silent-code added the enhancement New feature or request label Apr 10, 2024
@matteocao
Copy link
Contributor

which version of python were you using @silent-code ? can you please try to install giotto-tda, giotto-ph, pyflagser now?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

2 participants