mkl-service 2.7.0

Python hooks for Intel® oneAPI Math Kernel Library (oneMKL) runtime control settings

mkl-service - Python package for run-time control of Intel® oneAPI Math Kernel Library (oneMKL).

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To install conda package, use conda install -c https://software.repos.intel.com/python/conda/ mkl-service, or conda install -c conda-forge mkl-service.

To install PyPI package, use python -m pip install mkl-service.

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Intel® oneAPI Math Kernel Library (oneMKL) supports functions are subdivided into the following groups according to their purpose:

• Version Information
• Threading Control
• Timing
• Memory Management
• Conditional Numerical Reproducibility Control
• Miscellaneous

A short example, illustrating its use:

>>> import mkl
>>> mkl.domain_set_num_threads(1, domain="fft") # oneMKL FFT functions to run sequentially
# 'success'

For more information about the usage of support functions see Developer Reference for Intel® oneAPI Math Kernel Library for C.