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Releases: IntelPython/mkl-service

v2.5.2

01 Jul 13:31
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This is a bug-fix release, including:

  • Updated meta.yaml with proper license description to pass the validation rules gh-87

Contributors

Full Changelog: v2.5.1...v2.5.2

v2.5.1

27 Jun 16:56
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This is a bug-fix release, including resolving:

  • import issue in the virtual environment which breaks loading of MKL libs gh-85

New Contributors

Full Changelog: v2.5.0...v2.5.1

v2.5.0

26 Jun 19:49
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Added support of Python 3.13.

Transition from setup.py to pyproject.toml.
Added out of the box support in virtual environment.

v2.4.2

12 Oct 18:09
98818d8
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Incremental release.

Tests checking library version moved to the end of the test suite, as after it is run, the state of the library is finalized, and tests that modify that state may fail.

Updated installation instructions.

v2.4.1

12 Feb 12:36
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Transition from nose to unittest and then to pytest to enable support for Python 3.12. Added Github Actions CI. Removed six as a dependency.

v2.4.0.post1

25 Aug 15:53
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  • Update description for Pypi package installation

v2.4.0

25 May 13:07
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Fixed issue #14.

Added mkl.set_num_stripes and mkl.get_num_stripes

Also expanded support isa keyword argument values in mkl.enable_instructions(isa=isa) function per recent Intel(R) oneMKL support.

v2.3.0

29 Aug 19:29
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Upgraded support for conditional numerical reproducibility, but adding support for strict variant added in MKL 2019.3, support CNR for AVX512, AVX512_E1 and MIC variants of these.

v2.1.0

11 Jun 20:46
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Replaced use of numpy.distutils with use of setuptools.

v2.0.2

23 May 15:26
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Corrected install_requires keyword in setup.py. Cython is not required for installing this packages.