mkl-service - Python package for run-time control of Intel® oneAPI Math Kernel Library (oneMKL).
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® 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.
Building
A C compiler and Intel(R) oneAPI Math Kernel Library (oneMKL) are required to build mkl-service from source.
Executing
python -m pip install .
will pull in the required build dependencies, including mkl, and build mkl-service.
If you already have mkl installed (from your system or a Conda environment) and
want to reuse it instead of pulling a fresh copy into an isolated build, first
install the build dependencies:
python -m pip install mkl-devel meson-python cmake ninja cython
then build against the existing installation with:
python -m pip install --no-build-isolation --no-deps .
2 maintainers
Release files for mkl-service 2.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 734.7 kB
Release files / mkl_service-2.8.0-0-cp314-cp314-win_amd64.whl
| Download URL | mkl_service-2.8.0-0-cp314-cp314-win_amd64.whl |
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| Size | 77.0 kB |
| Tags | CPython 3.14 Windows x86-64 |
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No |
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twine/6.2.0 CPython/3.12.12
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Release files / mkl_service-2.8.0-0-cp314-cp314-manylinux_2_28_x86_64.whl
| Download URL | mkl_service-2.8.0-0-cp314-cp314-manylinux_2_28_x86_64.whl |
|---|---|
| Size | 70.5 kB |
| Tags | CPython 3.14 Linux glibc 2.28+ x86-64 |
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No |
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twine/6.2.0 CPython/3.12.12
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Release files / mkl_service-2.8.0-0-cp313-cp313-win_amd64.whl
| Download URL | mkl_service-2.8.0-0-cp313-cp313-win_amd64.whl |
|---|---|
| Size | 76.8 kB |
| Tags | CPython 3.13 Windows x86-64 |
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No |
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twine/6.2.0 CPython/3.12.12
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Release files / mkl_service-2.8.0-0-cp313-cp313-manylinux_2_28_x86_64.whl
| Download URL | mkl_service-2.8.0-0-cp313-cp313-manylinux_2_28_x86_64.whl |
|---|---|
| Size | 70.1 kB |
| Tags | CPython 3.13 Linux glibc 2.28+ x86-64 |
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twine/6.2.0 CPython/3.12.12
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Release files / mkl_service-2.8.0-0-cp312-cp312-win_amd64.whl
| Download URL | mkl_service-2.8.0-0-cp312-cp312-win_amd64.whl |
|---|---|
| Size | 77.7 kB |
| Tags | CPython 3.12 Windows x86-64 |
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twine/6.2.0 CPython/3.12.12
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Release files / mkl_service-2.8.0-0-cp312-cp312-manylinux_2_28_x86_64.whl
| Download URL | mkl_service-2.8.0-0-cp312-cp312-manylinux_2_28_x86_64.whl |
|---|---|
| Size | 71.1 kB |
| Tags | CPython 3.12 Linux glibc 2.28+ x86-64 |
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No |
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twine/6.2.0 CPython/3.12.12
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Release files / mkl_service-2.8.0-0-cp311-cp311-win_amd64.whl
| Download URL | mkl_service-2.8.0-0-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 76.8 kB |
| Tags | CPython 3.11 Windows x86-64 |
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| Uploaded via |
twine/6.2.0 CPython/3.12.12
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Release files / mkl_service-2.8.0-0-cp311-cp311-manylinux_2_28_x86_64.whl
| Download URL | mkl_service-2.8.0-0-cp311-cp311-manylinux_2_28_x86_64.whl |
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| Size | 69.1 kB |
| Tags | CPython 3.11 Linux glibc 2.28+ x86-64 |
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Release files / mkl_service-2.8.0-0-cp310-cp310-win_amd64.whl
| Download URL | mkl_service-2.8.0-0-cp310-cp310-win_amd64.whl |
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| Size | 76.8 kB |
| Tags | CPython 3.10 Windows x86-64 |
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Release files / mkl_service-2.8.0-0-cp310-cp310-manylinux_2_28_x86_64.whl
| Download URL | mkl_service-2.8.0-0-cp310-cp310-manylinux_2_28_x86_64.whl |
|---|---|
| Size | 68.8 kB |
| Tags | CPython 3.10 Linux glibc 2.28+ x86-64 |
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No |
| Uploaded via |
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