WARNING (pytensor.tensor.blas): Using NumPy C-API based implementation for BLAS functions - no conda solution

I am using Dirichlet distribution, and it gets stacked (or really slow) when I am running sample_prior_predictive. Will solving the BLAS warning solve this problem? I am not working with conda, and this is an already defined environment, how else (no conda) can I solve it?

Which OS you are running? What this mean that this is “defined environment” - you cannot do your own installation? Maybe pointing to the BLAS library via flags might help, but this is always super tricky

this is a repo with defined environment that cannot be configured

What exactly can you change and what exactly can you not change with respect to your environment?