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mkl-service
- Python package for run-time control of Intel(R) Math Kernel Library.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
.
Intel(R) Math Kernel Library support functions are subdivided into the following groups according to their purpose:
A short example, illustrating it use:
import tomopy
import mkl
mkl.domain_set_num_threads(1, domain='fft') # Intel(R) MKL FFT functions to run sequentially
FAQs
MKL Support Functions
We found that mkl-service demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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