I am getting some errors when running tests in linux with anaconda.
I solved the lto-wrapper error by updating the conda base environment. However, I get the following error
./test_ndarray
/home/user/miniconda3/lib/python3.7/site-packages/numpy/init.py:140: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service
from . import _distributor_init
Initialisation of forpy failed!!! Can not test. Errorcode = 2
mkl-service is installed and importing numpy in a script works.
in a not updated conda environment with a version of numpy that does not use mkl-service, I need to use -fno-lto to solve the lto-wrapper problem. However I still get the error:
./test_ndarray
Initialisation of forpy failed!!! Can not test. Errorcode = 2
None of the previous tests fails in both cases.
I am getting some errors when running tests in linux with anaconda.
I solved the lto-wrapper error by updating the conda base environment. However, I get the following error
./test_ndarray
/home/user/miniconda3/lib/python3.7/site-packages/numpy/init.py:140: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service
from . import _distributor_init
Initialisation of forpy failed!!! Can not test. Errorcode = 2
mkl-service is installed and importing numpy in a script works.
in a not updated conda environment with a version of numpy that does not use mkl-service, I need to use -fno-lto to solve the lto-wrapper problem. However I still get the error:
./test_ndarray
Initialisation of forpy failed!!! Can not test. Errorcode = 2
None of the previous tests fails in both cases.