Thanks for posting your concern on the forum. Please know the Intel® oneAPI Math Kernel Library & Intel® Distribution for Python are components of the Intel® oneAPI Base Toolkit.
You may refer to the below link for guidance over the installation of the toolkit and its standalone components.
Please refer to the below link to find the supported compatibility for the product toolkit and its components. These are the tested and supported configurations for them.
Have a nice day ahead.
If I do 'pip install mkl', will it pull all its dependencies?
Where can I find mkl dependency list if I have to go with the public version of python and Numpy? Also do I need to do below mentioned line >>
Thanks for getting back to us on the post. We are currently checking on the mentioned queries with our internal team. Please wait for 2-3 business days. We will get back to you as soon as possible.
We haven't specific recommended flags for best performance config. But we do have one article about “Install NumPy/SciPy” which make them have good performance with MKL enabled.
Please check here:
This issue is closing and we will no longer respond to this thread. If you require additional assistance from Intel, please start a new thread. Any further interaction in this thread will be considered community only.