Dear all, would it be possible to make RDKit package not depend on mkl (probably via numpy, pandas) and that it accepts pre-installed numpy and pandas for example from pip as sufficient?
The background to this is simple. Intel MKL cripples performance on any AMD bases processor (4-5 times slower, SSE vs AVX2). Since these AMD CPUs are now actually competitive again, this poses an issue. On Linux it's simple to just link to openblas and it works as far as I can tell just fine. On Windows the issue is that some tools for example scipy and pandas are only available as openblas builds via pypi (pip). I'm not sure where the issue is but when I then want to install rdkit into such an environment it doesn't "accept" the preinstalled numpy and pandas from pip and wants to install the conda version based on mkl again maybe due to the package dependencies. Can this be changed so that when installing rdkit it accepts numpy and pandas install from pypi? thanks for any help. Best regards, Thomas
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