Hi, I am trying to create a recipe for pytorch (https://github.com/pytorch/pytorch) with GPU accceleration but it seems I ran into a few issues.
The intel-oneapi-mkl recipe simply repackages the contents of a DEB package. There are some problems with this as this recipe cannot be used to build others that would link to e.g. libmkl_intel_lp64.so * the contents are installed into /opt so sysroot-destdir is empty * if I add /opt to SYSROOT_DIRS, then the libraries are carried over intel-oneapi-mkl into recipe-sysroot but they are in /opt and this directory is not used by default to find libraries * even if I convince pytorch to look for the library in the correct location, it stil looks for mkl_cblas.h which is not present in the intel-oneapi-mkl package. Why isn't MKL built from sources and installed into the standard locations just like everything else in Yocto? Thanks for any help. Best regards, Zoltán Böszörményi
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