Skip to main content

MKL Support Functions

Project description

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

Build Status

See the blog announcing the release.

To install the package, use conda install -c intel mkl-service, or conda install -c conda-forge mkl-service.

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

mkl_service-2.3.0-10-cp37-cp37m-win_amd64.whl (42.6 kB view details)

Uploaded CPython 3.7mWindows x86-64

mkl_service-2.3.0-10-cp37-cp37m-manylinux2014_x86_64.whl (61.3 kB view details)

Uploaded CPython 3.7m

mkl_service-2.3.0-9-cp37-cp37m-manylinux2014_x86_64.whl (201.3 kB view details)

Uploaded CPython 3.7m

File details

Details for the file mkl_service-2.3.0-10-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: mkl_service-2.3.0-10-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 42.6 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 pkginfo/1.6.0 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.9

File hashes

Hashes for mkl_service-2.3.0-10-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 bed509be3b5a29906901daae069d63adc60909b65cdcd58f1baed1ba622012c3
MD5 506af4c4d39b4685960b902c9ab21763
BLAKE2b-256 276b7b1329f7fcb8ee661560c1da1c42fdb64136f23de9b8d29d7703e05445b3

See more details on using hashes here.

File details

Details for the file mkl_service-2.3.0-10-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: mkl_service-2.3.0-10-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 61.3 kB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 pkginfo/1.6.0 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.9

File hashes

Hashes for mkl_service-2.3.0-10-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 734c44573e04303f7ff24a7cd14aa9a9a901d646a51f80d28d0df3e289ca0531
MD5 c9e66292b9367779cec72c65ff1e7988
BLAKE2b-256 1db2fb25f53d275f64dcfd1634d53fbabafae3913c8c367b0337c7190ac2b188

See more details on using hashes here.

File details

Details for the file mkl_service-2.3.0-9-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: mkl_service-2.3.0-9-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 201.3 kB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200925 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.9

File hashes

Hashes for mkl_service-2.3.0-9-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c39366a8668794202e702d79d4aa5521bc15bf3990c254f45f3993495ef2deb3
MD5 6ed4f5206705f41882cd526754d9b747
BLAKE2b-256 6216e3e78546ee9319526e729f31e0a95d5e2dfce39e48581aa1184db95bae91

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page