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Did you install gfortran? E.g. ``` % which gfortran /Users/davidlaxer/anaconda3/bin/gfortran % gfortran --version gfortran: warning: could not understand version 13.01.00 GNU Fortran (GCC) 11.3.0 Copyright (C) 2021 Free Software Foundation,...

Try adding this to the beginning of your script: ``` import os os.environ['KMP_DUPLICATE_LIB_OK']='True' from aifeynman import run_aifeynman run_aifeynman("/Users/davidlaxer/AI-Feynman/example_data/", "GoedelTableFourParameters.txt", 30, "14ops.txt", polyfit_deg=3, NN_epochs=400) ```

‘mps’ recently added FFT support as well as support for complex numbers, which I’m evaluating. ``` In [5]: x32 = torch.randn(3, 3, dtype=torch.complex32, device=device) ...: y32 = torch.randn(3, 3, dtype=torch.complex32,...

pytorch still doesn't support bmm() for device 'mps' which is used in tensorly's einsum(). I created a temporary workaround using numpy.einsum(): ``` def _contract_dense(x, weight, separable=False): order = tl.ndim(x) #...

There appears to be an issue where the new training data file generated in S_symmetry.py has one fewer variable then the saved model which gets loaded in S_NN_train.py when 'pretrained_path'...

Same error with torch nightly version: 2.1.0.dev20230428 and 'MPS' on a 2020 iMac 27" with an AMD Radeon 5700 XT gpu in https://github.com/andreamad8/FSB

This appears to be a numba/tbb issue causing the exception in: fast_knn_indicies.

Please also consider Karpathy's 'llama2c': https://github.com/karpathy/llama2.c

Same ... ``` % pip show scikit-learn Name: scikit-learn Version: 1.3.0 Summary: A set of python modules for machine learning and data mining Home-page: http://scikit-learn.org Author: Author-email: License: new BSD...

The OpenCL interface in Mathematica 13.2 which uses Apple's OpenCL framework works on my 2021 iMac 27" running MacOS Ventura 13.2 with an AMD Radeon Pro 5700 XT