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adding xpclr open_blas issues #28

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hardingnj opened this issue Jan 11, 2019 · 3 comments
Closed

adding xpclr open_blas issues #28

hardingnj opened this issue Jan 11, 2019 · 3 comments

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@hardingnj
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I'd like to add xpclr to binder, but when I install directly from conda, it wants to downgrade all blas

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    gsl-2.2.1                  |       h0c605f7_3         2.6 MB
    libgfortran-ng-7.2.0       |       hdf63c60_3         1.2 MB  conda-forge
    mkl_random-1.0.2           |           py36_0         1.3 MB  conda-forge
    numpy-1.13.3               |   py36hdbf6ddf_4         3.9 MB
    scikit-learn-0.19.1        |   py36hedc7406_0         5.2 MB
    mkl_fft-1.0.10             |           py36_0         650 KB  conda-forge
    scipy-1.0.1                |   py36hfc37229_0        17.8 MB
    mkl-2018.0.3               |                1       198.7 MB
    blas-1.0                   |              mkl           6 KB
    xpclr-1.1                  |             py_0          14 KB  bioconda
    intel-openmp-2019.1        |              144         885 KB
    ------------------------------------------------------------
                                           Total:       232.3 MB

The following NEW packages will be INSTALLED:

    intel-openmp:   2019.1-144                               
    libgfortran-ng: 7.2.0-hdf63c60_3              conda-forge
    mkl:            2018.0.3-1                               
    mkl_fft:        1.0.10-py36_0                 conda-forge
    mkl_random:     1.0.2-py36_0                  conda-forge
    xpclr:          1.1-py_0                      bioconda   

The following packages will be DOWNGRADED:

    blas:           1.1-openblas                  conda-forge --> 1.0-mkl              
    gsl:            2.2.1-blas_openblash47a8a8e_5 conda-forge [blas_openblas] --> 2.2.1-h0c605f7_3     
    numpy:          1.13.3-py36_blas_openblas_201 conda-forge [blas_openblas] --> 1.13.3-py36hdbf6ddf_4
    scikit-learn:   0.19.1-py36_blas_openblas_201 conda-forge [blas_openblas] --> 0.19.1-py36hedc7406_0
    scipy:          1.0.1-py36_blas_openblas_200  conda-forge [blas_openblas] --> 1.0.1-py36hfc37229_0 

I've just verified that if I add xpclr to the binder env.yml, the numpy install is py36hdbf6ddf_4 not 1.13.3-py36_blas_openblas_201 I'm not sure if this is a channel ordering issue?

@hardingnj
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@alimanfoo
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alimanfoo commented Jan 11, 2019 via email

@alimanfoo
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Closing for now but happy to reopen if we want to revisit adding xpclr.

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