Releases: IntelPython/mkl-service
v2.6.0
Added
- Enabled support of Python 3.14 gh-100
Changed
- Used
GIT_DESCRIBE_TAGandGIT_DESCRIBE_NUMBERinmeta.yamlinstead of manual stepping the numbers gh-98 - Updated
meta.yamlrecipe and documentation with approved oneMKL name gh-87
Contributors
Full Changelog: v2.5.2...2.6.0
v2.5.2
This is a bug-fix release, including:
- Updated
meta.yamlwith proper license description to pass the validation rules gh-87
Contributors
Full Changelog: v2.5.1...v2.5.2
v2.5.1
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
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
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
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
- Update description for Pypi package installation
v2.4.0
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
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
Replaced use of numpy.distutils with use of setuptools.