Open GaetanLepage opened 5 months ago
Do you think that this could be due to the use of a wrong version of one of the dependencies ?
Yes, it looks like we need to pin the Numba version. Thanks for reporting this!
Yes, it looks like we need to pin the Numba version. Thanks for reporting this!
Ok thanks !
And is the support for newer versions of numba
planned ?
And is the support for newer versions of
numba
planned ?
We probably won't be able to get to this any time soon, but we should be able to review PRs for it much sooner.
Description of your problem or feature request
Context: I am trying to fix
aesara
on the nixpkgs repository. PR: https://github.com/NixOS/nixpkgs/pull/304881When running the tests for the latest version (2.9.3) with
numba
0.59.1, I get the following errors:Do you think that this could be due to the use of a wrong version of one of the dependencies ?
Versions and main components
Aesara config:
``` /nix/store/x1rqfn240xn6m6p6077gxfqxdxxj1cmc-python3.11-numpy-1.26.4/lib/python3.11/site-packages/numpy/distutils/system_info.py:2159: UserWarning: Optimized (vendor) Blas libraries are not found. Falls back to netlib Blas library which has worse performance. A better performance should be easily gained by switching Blas library. if self._calc_info(blas): /nix/store/x1rqfn240xn6m6p6077gxfqxdxxj1cmc-python3.11-numpy-1.26.4/lib/python3.11/site-packages/numpy/distutils/system_info.py:2159: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. if self._calc_info(blas): /nix/store/x1rqfn240xn6m6p6077gxfqxdxxj1cmc-python3.11-numpy-1.26.4/lib/python3.11/site-packages/numpy/distutils/system_info.py:2159: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. if self._calc_info(blas): WARNING (aesara.tensor.blas): Using NumPy C-API based implementation for BLAS functions. floatX ({'float16', 'float32', 'float64'}) Doc: Default floating-point precision for python casts. Note: float16 support is experimental, use at your own risk. Value: float64 warn_float64 ({'pdb', 'ignore', 'warn', 'raise'}) Doc: Do an action when a tensor variable with float64 dtype is created. Value: ignore pickle_test_value (