Intel MKL Integration Issue in Python Environment

[michaeljordy3132]

Hello Intel Developer Community,

I'm currently working on a Python project that involves heavy numerical computations, and I want to leverage Intel Math Kernel Library (MKL) for optimized performance. However, I'm facing integration issues in my Python environment.

Specifics of the Issue:

1. I have installed Intel one API Base Toolkit, including the MKL component.
2. When trying to import MKL or use MKL functions in my Python script, I encounter import errors or runtime issues.

Steps I've Taken:

1. Verified that Intel MKL is correctly installed by checking the installation directory.
2. Tried reinstalling the one API toolkit and ensuring that the necessary environment variables are set.
3. Checked the Python environment for conflicting packages.

My Questions:

1. Has anyone successfully integrated Intel MKL into a Python environment?
2. Are there specific steps or configurations required for seamless integration?
3. Any recommendations for troubleshooting MKL-related issues in a Python project?

I appreciate any guidance or insights from the community. Let's work together to resolve this integration challenge!

Thank you,

Michael Jordy

[StefR_Intel]

Hi Michael,

Thank you for posting in the Intel® Distribution for Python* community forum. The easiest way to leverage oneMKL in Python is to install the Intel® Distribution for Python*. We recommend installing it via conda. If you don't have conda installed on your system, you can get started with miniconda. The following command will create a new environment and install Intel® Distribution for Python*.

conda create -n idp intelpython3_core

You can also specify the python version:

conda create -n idp intelpython3_core python=3.x

Before confirming the installation, you will see the packages included with the Intel® Distribution for Python*, including MKL ones. After successfully installing it, you can use numpy and scipy as you would normally do and it will automatically take advantage of oneMKL.

Best,

Stef