How to link NumPy to Eigen3, or OpenBLAS, GotoBLAS2, ATLAS?

up vote
3
down vote

favorite

I installed Anaconda3(with Python3.7), and found that the NumPy extension is linked MKL via numpy.__config__.show():

mkl_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

blas_mkl_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

blas_opt_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

lapack_mkl_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

lapack_opt_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

In terms of that I use Ryzen CPU, so I want that my NumPy is linked to Eigen3, or OpenBLAS, GotoBLAS2, ATLAS? Which conda commands can help me get it?

edited Nov 17 at 17:43

asked Nov 17 at 14:39

Luke

162

What about conda install -c conda-forge openblas? Perhaps, following conda install -c conda-forge numpy?
– Severin Pappadeux
Nov 17 at 17:04

And conda-forge.org/docs/blas.html
– Severin Pappadeux
Nov 17 at 17:06

@SeverinPappadeux Thanks for your comment, I have tried this way, however it cannot change NumPy itself. NumPy is still linked to MKL.
– Luke
Nov 17 at 17:45

add a comment |

up vote
3
down vote

favorite

I installed Anaconda3(with Python3.7), and found that the NumPy extension is linked MKL via numpy.__config__.show():

mkl_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

blas_mkl_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

blas_opt_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

lapack_mkl_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

lapack_opt_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

In terms of that I use Ryzen CPU, so I want that my NumPy is linked to Eigen3, or OpenBLAS, GotoBLAS2, ATLAS? Which conda commands can help me get it?

edited Nov 17 at 17:43

asked Nov 17 at 14:39

Luke

162

What about conda install -c conda-forge openblas? Perhaps, following conda install -c conda-forge numpy?
– Severin Pappadeux
Nov 17 at 17:04

And conda-forge.org/docs/blas.html
– Severin Pappadeux
Nov 17 at 17:06

@SeverinPappadeux Thanks for your comment, I have tried this way, however it cannot change NumPy itself. NumPy is still linked to MKL.
– Luke
Nov 17 at 17:45

add a comment |

up vote
3
down vote

favorite

I installed Anaconda3(with Python3.7), and found that the NumPy extension is linked MKL via numpy.__config__.show():

mkl_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

blas_mkl_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

blas_opt_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

lapack_mkl_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

lapack_opt_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

In terms of that I use Ryzen CPU, so I want that my NumPy is linked to Eigen3, or OpenBLAS, GotoBLAS2, ATLAS? Which conda commands can help me get it?

edited Nov 17 at 17:43

asked Nov 17 at 14:39

Luke

162

I installed Anaconda3(with Python3.7), and found that the NumPy extension is linked MKL via numpy.__config__.show():

mkl_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

blas_mkl_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

blas_opt_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

lapack_mkl_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

lapack_opt_info:

    libraries = ['mkl_rt']

    library_dirs = ['C:/Anaconda\Library\lib']

    define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]

    include_dirs = ['C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\include', 'C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.4.246\windows\mkl\lib', 'C:/Anaconda\Library\include']

In terms of that I use Ryzen CPU, so I want that my NumPy is linked to Eigen3, or OpenBLAS, GotoBLAS2, ATLAS? Which conda commands can help me get it?

python numpy anaconda

edited Nov 17 at 17:43

asked Nov 17 at 14:39

Luke

162

edited Nov 17 at 17:43

asked Nov 17 at 14:39

Luke

162

edited Nov 17 at 17:43

asked Nov 17 at 14:39

Luke

162

asked Nov 17 at 14:39

Luke

162

asked Nov 17 at 14:39

Luke

162

What about conda install -c conda-forge openblas? Perhaps, following conda install -c conda-forge numpy?
– Severin Pappadeux
Nov 17 at 17:04

And conda-forge.org/docs/blas.html
– Severin Pappadeux
Nov 17 at 17:06

@SeverinPappadeux Thanks for your comment, I have tried this way, however it cannot change NumPy itself. NumPy is still linked to MKL.
– Luke
Nov 17 at 17:45

add a comment |

What about conda install -c conda-forge openblas? Perhaps, following conda install -c conda-forge numpy?
– Severin Pappadeux
Nov 17 at 17:04

And conda-forge.org/docs/blas.html
– Severin Pappadeux
Nov 17 at 17:06

@SeverinPappadeux Thanks for your comment, I have tried this way, however it cannot change NumPy itself. NumPy is still linked to MKL.
– Luke
Nov 17 at 17:45

What about conda install -c conda-forge openblas? Perhaps, following conda install -c conda-forge numpy?
– Severin Pappadeux
Nov 17 at 17:04

And conda-forge.org/docs/blas.html
– Severin Pappadeux
Nov 17 at 17:06

@SeverinPappadeux Thanks for your comment, I have tried this way, however it cannot change NumPy itself. NumPy is still linked to MKL.
– Luke
Nov 17 at 17:45

add a comment |

1 Answer
1

active

oldest

votes

up vote
0
down vote

First query a list of available numpy builds on the conda-forge channel with:

conda search -c conda-forge numpy

Look in the list for a numpy build that has openblas in its build version. Then install that version with the conda install command. For example:

conda install -c conda-forge numpy=1.15.4=py37_blas_openblash442142e_1000

answered Nov 17 at 18:07

Xukrao

1,6161522

Thanks a lot for your answer. However, it got wrong with Solving environment: failed UnsatisfiableError: The following specifications were found to be in conflict: - keras-preprocessing -> keras[version='>=2.1.6'] -> scipy[version='>=0.14'] -> blas=[build=mkl] - numpy==1.15.4=py36_blas_openblash442142e_1000 Use "conda info <package>" to see the dependencies for each package.
– Luke
Nov 17 at 18:17

After I posted this question, I have installed TensorFlow extension, and it changed my Python version from 3.7 to 3.6 automatically....
– Luke
Nov 17 at 18:21

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

up vote
0
down vote

First query a list of available numpy builds on the conda-forge channel with:

conda search -c conda-forge numpy

Look in the list for a numpy build that has openblas in its build version. Then install that version with the conda install command. For example:

conda install -c conda-forge numpy=1.15.4=py37_blas_openblash442142e_1000

answered Nov 17 at 18:07

Xukrao

1,6161522

Thanks a lot for your answer. However, it got wrong with Solving environment: failed UnsatisfiableError: The following specifications were found to be in conflict: - keras-preprocessing -> keras[version='>=2.1.6'] -> scipy[version='>=0.14'] -> blas=[build=mkl] - numpy==1.15.4=py36_blas_openblash442142e_1000 Use "conda info <package>" to see the dependencies for each package.
– Luke
Nov 17 at 18:17

After I posted this question, I have installed TensorFlow extension, and it changed my Python version from 3.7 to 3.6 automatically....
– Luke
Nov 17 at 18:21

add a comment |

up vote
0
down vote

First query a list of available numpy builds on the conda-forge channel with:

conda search -c conda-forge numpy

Look in the list for a numpy build that has openblas in its build version. Then install that version with the conda install command. For example:

conda install -c conda-forge numpy=1.15.4=py37_blas_openblash442142e_1000

answered Nov 17 at 18:07

Xukrao

1,6161522

Thanks a lot for your answer. However, it got wrong with Solving environment: failed UnsatisfiableError: The following specifications were found to be in conflict: - keras-preprocessing -> keras[version='>=2.1.6'] -> scipy[version='>=0.14'] -> blas=[build=mkl] - numpy==1.15.4=py36_blas_openblash442142e_1000 Use "conda info <package>" to see the dependencies for each package.
– Luke
Nov 17 at 18:17

After I posted this question, I have installed TensorFlow extension, and it changed my Python version from 3.7 to 3.6 automatically....
– Luke
Nov 17 at 18:21

add a comment |

up vote
0
down vote

First query a list of available numpy builds on the conda-forge channel with:

conda search -c conda-forge numpy

Look in the list for a numpy build that has openblas in its build version. Then install that version with the conda install command. For example:

conda install -c conda-forge numpy=1.15.4=py37_blas_openblash442142e_1000

answered Nov 17 at 18:07

Xukrao

1,6161522

First query a list of available numpy builds on the conda-forge channel with:

conda search -c conda-forge numpy

Look in the list for a numpy build that has openblas in its build version. Then install that version with the conda install command. For example:

conda install -c conda-forge numpy=1.15.4=py37_blas_openblash442142e_1000

answered Nov 17 at 18:07

Xukrao

1,6161522

answered Nov 17 at 18:07

Xukrao

1,6161522

answered Nov 17 at 18:07

Xukrao

1,6161522

answered Nov 17 at 18:07

Xukrao

1,6161522

Thanks a lot for your answer. However, it got wrong with Solving environment: failed UnsatisfiableError: The following specifications were found to be in conflict: - keras-preprocessing -> keras[version='>=2.1.6'] -> scipy[version='>=0.14'] -> blas=[build=mkl] - numpy==1.15.4=py36_blas_openblash442142e_1000 Use "conda info <package>" to see the dependencies for each package.
– Luke
Nov 17 at 18:17

After I posted this question, I have installed TensorFlow extension, and it changed my Python version from 3.7 to 3.6 automatically....
– Luke
Nov 17 at 18:21

add a comment |

Thanks a lot for your answer. However, it got wrong with Solving environment: failed UnsatisfiableError: The following specifications were found to be in conflict: - keras-preprocessing -> keras[version='>=2.1.6'] -> scipy[version='>=0.14'] -> blas=[build=mkl] - numpy==1.15.4=py36_blas_openblash442142e_1000 Use "conda info <package>" to see the dependencies for each package.
– Luke
Nov 17 at 18:17

After I posted this question, I have installed TensorFlow extension, and it changed my Python version from 3.7 to 3.6 automatically....
– Luke
Nov 17 at 18:21

Thanks a lot for your answer. However, it got wrong with

Solving environment: failed  UnsatisfiableError: The following specifications were found to be in conflict:   - keras-preprocessing -> keras[version='>=2.1.6'] -> scipy[version='>=0.14'] -> blas=[build=mkl]   - numpy==1.15.4=py36_blas_openblash442142e_1000 Use "conda info <package>" to see the dependencies for each package.

– Luke
Nov 17 at 18:17

Thanks a lot for your answer. However, it got wrong with

Solving environment: failed  UnsatisfiableError: The following specifications were found to be in conflict:   - keras-preprocessing -> keras[version='>=2.1.6'] -> scipy[version='>=0.14'] -> blas=[build=mkl]   - numpy==1.15.4=py36_blas_openblash442142e_1000 Use "conda info <package>" to see the dependencies for each package.

– Luke
Nov 17 at 18:17

After I posted this question, I have installed TensorFlow extension, and it changed my Python version from 3.7 to 3.6 automatically....
– Luke
Nov 17 at 18:21

add a comment |

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