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mlpack / mlpack

mlpack: a fast, header-only C++ machine learning library
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Can I compile mlpack using QNX? #3156

Closed liujie316316 closed 2 years ago

liujie316316 commented 2 years ago
zoq commented 2 years ago

I am not aware of anybody who has tried this before, but if you have the necessary dependencies like armadillo, blas mlpack should be fine as well.

shrit commented 2 years ago

If you have a C and C++11 compatible compiler, I do not see any issue, but as @zoq said you will have to build the dependencies by yourself. Use in preference the mlpack master branch, since it has fewer dependencies that require compilation.

liujie316316 commented 2 years ago

Well,thank you!

liujie316316 commented 2 years ago

If you have a C and C++11 compatible compiler, I do not see any issue, but as @zoq said you will have to build the dependencies by yourself. Use in preference the mlpack master branch, since it has fewer dependencies that require compilation.

I have compiled necessary dependencies like armadillo and boost, but the error is when compiling library mlpack: /usr/lib/armadillo.so file in wrong format,Then I "file armadillo.so.10.8.1",no problem with format found。But,file -libmlpack.so.3.4 ,I found it was x86!!! Can't QNX cross compile mlpack?

mlpack-bot[bot] commented 2 years ago

This issue has been automatically marked as stale because it has not had any recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions! :+1: