Closed p3jitnath closed 1 month ago
@p3jitnath Thanks for unconvering this for us. This was indeed a regression and I'll be putting up a fix for it very shortly.
@p3jitnath I was trying to reproduce this problem in a brand new Ubuntu install (without MKL installed). Diving into it it looks like the Caffe2 shipped with PyTorch 2.3.1 should work just fine if it fails to find MKL. I'm wondering if this behaviour is CMake version dependent; which version are you using? Also if you have the time, you can contact me at andrew dot shao at hpe dot com (replacing 'dot' and 'at' with their equivalent symbols) and we can try to troubleshoot this together.
Thanks ... updating CMake to 3.26.4 solved it.
Description
Looks like the MKL linking issue is still happening.
How to reproduce
smart clean && smart build --device=cuda-11 --skip-tensorflow --skip-onnx -v
System