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

How to build Linux Binaries for numpy+mkl? #19030

Closed
guoqiangqi opened this issue May 18, 2021 · 5 comments
Closed

How to build Linux Binaries for numpy+mkl? #19030

guoqiangqi opened this issue May 18, 2021 · 5 comments

Comments

@guoqiangqi
Copy link

Thanks for building such great project,  I want to use numpy+mkl in Linux, but currently only windows binaries are available, can anyone tell me how to make numpy+mkl wheel by building from source?

@bashtage
Copy link
Contributor

The easy way, if available to you, is to install NumPy using conda, which will default to a build that includes MKL.

@guoqiangqi
Copy link
Author

The easy way, if available to you, is to install NumPy using conda, which will default to a build that includes MKL.

Thanks for your reply. Do you have any guides about building numpy+mkl from source since i have modified some origin codes in numpy ?

@Qiyu8
Copy link
Member

Qiyu8 commented May 19, 2021

I tried to build numpy+mkl wheel through this guide, but the wheel didn't include mkl like windows one, @bashtage @mattip @charris Any thoughts?

@Qiyu8
Copy link
Member

Qiyu8 commented May 19, 2021

After browsering Windows wheel package (.whl) on Pypi, I think @carlkl and @cgohlke may provide solutions, Also this archived repository may help.

@bashtage
Copy link
Contributor

You should post your build command(s) and build log to a gist. One possibility is that Windows supports including libraries while Linux defaults to assuming the libraries are already available.

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

No branches or pull requests

3 participants