Cannot use in non-conda-managed Python

[david-cortes-intel]

When trying to import this package in a Python environment which is not managed by conda, it will fail to load the MKL .so file.

Steps to reproduce:

• Create a fresh linux environment, for example through Docker or through a VM.
• Install Python and pip.
• Optionally, create a fresh venv and activate it: python -m venv mklenv && source mklenv/bin/activate
• Install this package with pip install mkl-random.
• Launch python and try to import the package.

It throws an error about being unable to load the file libmkl_core.so.2.

[vmalia]

Can you try setting up MKLROOT, LD_LIBRARY_PATH and PATH variables before importing the module in Python?

[david-cortes-intel]

It works if manually setting $LD_LIBRARY_PATH to the folder where the PyPI package for MKL is installed. But that's not something commonly required by python packages.