I am trying to link my conda-forge installation against MKL, but with no success. I have installed my environment directly from the environment.yml file at the docs, with mkl and mkl-devel 2022.0.1. However, when running the command
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conda install "libblas=*=*mkl"
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# All requested packages already installed.
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>>> np.show_config()
blas_info:
libraries = ['cblas', 'blas', 'cblas', 'blas']
library_dirs = ['/home/juanjo/anaconda3/envs/tenpy-mkl/lib']
include_dirs = ['/home/juanjo/anaconda3/envs/tenpy-mkl/include']
language = c
define_macros = [('HAVE_CBLAS', None)]
blas_opt_info:
define_macros = [('NO_ATLAS_INFO', 1), ('HAVE_CBLAS', None)]
libraries = ['cblas', 'blas', 'cblas', 'blas']
library_dirs = ['/home/juanjo/anaconda3/envs/tenpy-mkl/lib']
include_dirs = ['/home/juanjo/anaconda3/envs/tenpy-mkl/include']
language = c
lapack_info:
libraries = ['lapack', 'blas', 'lapack', 'blas']
library_dirs = ['/home/juanjo/anaconda3/envs/tenpy-mkl/lib']
language = f77
lapack_opt_info:
libraries = ['lapack', 'blas', 'lapack', 'blas', 'cblas', 'blas', 'cblas', 'blas']
library_dirs = ['/home/juanjo/anaconda3/envs/tenpy-mkl/lib']
language = c
define_macros = [('NO_ATLAS_INFO', 1), ('HAVE_CBLAS', None)]
include_dirs = ['/home/juanjo/anaconda3/envs/tenpy-mkl/include']
Supported SIMD extensions in this NumPy install:
baseline = SSE,SSE2,SSE3
found = SSSE3,SSE41,POPCNT,SSE42,AVX,F16C,FMA3,AVX2
not found = AVX512F,AVX512CD,AVX512_KNL,AVX512_KNM,AVX512_SKX,AVX512_CLX,AVX512_CNL,AVX512_ICL
Do you know of another way to try to pin them?
Thank you in advance.