ONNX Runtime is a runtime accelerator for Machine Learning models

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for microsoft from gravatar.com microsoft

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

ONNX Runtime is a performance-focused scoring engine for Open Neural Network Exchange (ONNX) models. For more information on ONNX Runtime, please see aka.ms/onnxruntime or the Github project.

Changes

1.8.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.8.0

1.7.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.7.0

1.6.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.6.0

1.5.3

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.5.3

1.5.2

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.5.2

1.5.1

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.5.1

1.4.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.4.0

1.3.1

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.3.1

1.3.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.3.0

1.2.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.2.0

1.1.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.1.0

1.0.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.0.0

0.5.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v0.5.0

0.4.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v0.4.0

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for microsoft from gravatar.com microsoft

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

1.20.1

1.20.0

1.19.2

1.19.0

1.18.1

1.18.0

1.17.3

1.17.1

1.17.0

1.16.3

1.16.2

1.16.1

1.16.0

1.15.1

1.15.0

1.14.1

1.14.0

1.13.1

1.12.1

1.12.0

1.11.1

1.11.0

1.10.0

1.9.0

1.8.1

This version

1.8.0

1.7.0

1.6.0

1.5.2

1.5.1

1.4.0

1.3.0

1.2.0

1.1.2

1.1.1

1.1.0

1.0.0

0.5.0

0.4.0

0.3.0

0.2.1

0.1.4

0.1.3

0.1.2

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

onnxruntime-1.8.0-cp39-cp39-win_amd64.whl (4.7 MB view details)

Uploaded CPython 3.9 Windows x86-64

onnxruntime-1.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

onnxruntime-1.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (7.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

onnxruntime-1.8.0-cp39-cp39-macosx_10_12_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

onnxruntime-1.8.0-cp38-cp38-win_amd64.whl (4.7 MB view details)

Uploaded CPython 3.8 Windows x86-64

onnxruntime-1.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

onnxruntime-1.8.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (7.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

onnxruntime-1.8.0-cp38-cp38-macosx_10_12_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.8 macOS 10.12+ x86-64

onnxruntime-1.8.0-cp37-cp37m-win_amd64.whl (4.7 MB view details)

Uploaded CPython 3.7m Windows x86-64

onnxruntime-1.8.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

onnxruntime-1.8.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (7.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

onnxruntime-1.8.0-cp37-cp37m-macosx_10_12_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.7m macOS 10.12+ x86-64

onnxruntime-1.8.0-cp36-cp36m-win_amd64.whl (4.7 MB view details)

Uploaded CPython 3.6m Windows x86-64

onnxruntime-1.8.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

onnxruntime-1.8.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (7.4 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

onnxruntime-1.8.0-cp36-cp36m-macosx_10_12_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.6m macOS 10.12+ x86-64

File details

Details for the file onnxruntime-1.8.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: onnxruntime-1.8.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 4.7 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for onnxruntime-1.8.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1357b159e340c0acbf2f95c842d477f70c7d3ecefe575d98ec33277b6f45dd56
MD5 77eac1899973f0fa62efae03613b8747
BLAKE2b-256 69a60f0d289c509f6d6955885bce6b016cf384d52314f546966ad4e144852cee

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f96f020f5659a1b6b0fa3b19139ae19e8915aeaae938274c9db4d7619515d824
MD5 08531953f7526bc889e689ce6c7f46ed
BLAKE2b-256 3871e3a996568564d1899ea0eab1ecdd1c16779a3304202da85c5f28282cae98

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 69836f00688cf2cb84e17dc9c1edc4ee1b0cde65fac45023269816c3ed732f22
MD5 fcece05a44a73eb56607a54116bef488
BLAKE2b-256 bec66998f2f673ff586ed7e6e36169bc2bdaece2d97322dc3619c0eee819dfc4

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: onnxruntime-1.8.0-cp39-cp39-macosx_10_12_x86_64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.9, macOS 10.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for onnxruntime-1.8.0-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 60493b41d414df99cab2b048f751e6c03ec21560876c37be559f4e19350b3eeb
MD5 d73655f17bc551ba27f989fa95038be1
BLAKE2b-256 036a9bc3745a672c92d6ff20cf9686a80f342c991b9bd1881ba3890b18d67139

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: onnxruntime-1.8.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 4.7 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for onnxruntime-1.8.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b337534228373c7582667f3fc1080be0dfff7ebd38a782d84ede4beb04535e65
MD5 f0ef44d92420d3fce69036594b0e95c6
BLAKE2b-256 ec2da3c0f7eb4484417f218ca6d3873b37159b0768578e90cc64c1648de14cdc

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f8cfdb4601267ed42eb5a33bd611b8ee27c7700b2dfc00401a8031e2ab897c97
MD5 bd99cc4ef317a6d8b22935880e7e6ff6
BLAKE2b-256 de753f15fc0d5d75d0831780556dba4a6adb72132401d315a3dfab0910140403

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.8.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 229c684f3f91dd830ff00dedcd3e97b9124360248eb109fb893324e3131ec2cc
MD5 fd5064353d4896f7b9b51d3eb526c8b6
BLAKE2b-256 f3d43e8b408f5ee70b9a8f263ba42040b0b2fd37af4d7e5ce2ff314b5ff3f540

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: onnxruntime-1.8.0-cp38-cp38-macosx_10_12_x86_64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.8, macOS 10.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for onnxruntime-1.8.0-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 2a4022d357c38c1c028b20a815deaa12f609fb6902f514de1d574810c860b70d
MD5 229c2bf067c9116159549a32df7bd092
BLAKE2b-256 a3912b468e8a0a903c66d25fc34ab4ae1ec9f47ba4d46ef1420c879c73350ac6

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: onnxruntime-1.8.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 4.7 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for onnxruntime-1.8.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1c9d998cc6bd59e0018afc7277562b5b910f0f7bc9b3a208544d2dcfdc946f28
MD5 ee088abd179090ab69706ca620686362
BLAKE2b-256 182413c50b234f0eeadf922495069ae3527fa391df1305a976a4126fc7308b46

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.8.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f7be85c074d947352003f999c355130c4ba6018740e1b306b86dd593caccad1e
MD5 2d714022cc0f3a5c32b7945d25be9b3f
BLAKE2b-256 f9763d0f8bb2776961c7335693df06eccf8d099e48fa6fb552c7546867192603

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.8.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0086c5d54d71f01e0c6bb4c91c46bd49017f58daa0f16b7c006d97d1e0a01e4a
MD5 6507569ef191014da09c06765ba32d9d
BLAKE2b-256 059b7486e49d57a9437c0807af255e2eae48e820cb43a2f5f5cda8856f4e22bb

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp37-cp37m-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: onnxruntime-1.8.0-cp37-cp37m-macosx_10_12_x86_64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.7m, macOS 10.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for onnxruntime-1.8.0-cp37-cp37m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 45560ed71fc656bb73b13f6eb630c81e2b4747276d3a0dbf79807e602f565ad9
MD5 0231041c777c1a9473c709feeb870da5
BLAKE2b-256 ba006cac6fe39feeb1534a7f95e6196533e089fca9f0fbebbcf4d29b9604fcee

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: onnxruntime-1.8.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 4.7 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for onnxruntime-1.8.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 2855272a3bb3c3992fabc478f00c92758011db60bc9b8a1517cca6b43a11fb63
MD5 f8415d88e4076568c0f4f5f89397eb1d
BLAKE2b-256 6bc0e4c524c9ee10c57ff19168ae05f42e50b14fb4733c2c0c0b6da3b10d3e51

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.8.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7190ad81bca865e538fc98cd5b29ac7151276b65bcdacebe318ca0da9c2263d7
MD5 4ce7b522e3b0d7eed729e23ee695f666
BLAKE2b-256 58a3dc376d6a051657412b92ea04db67a639eee7194d41f023353f01402fca4c

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.8.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e9d0c9069d34307458e4bd1275ac5e64746b393a7c0ef500724afca558df6207
MD5 77700045758de36343dee338946e8629
BLAKE2b-256 2f8ae01e032a5c4d3062bf5a2e32f2450ea82fe02e6f46c9098da4979fc085e0

See more details on using hashes here.

File details

Details for the file onnxruntime-1.8.0-cp36-cp36m-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: onnxruntime-1.8.0-cp36-cp36m-macosx_10_12_x86_64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.6m, macOS 10.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for onnxruntime-1.8.0-cp36-cp36m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 3d88648e9191c85865561b9a4cf0dfd25ee8db566e3d6147d460adb8b0f10c24
MD5 d67fcd6d2c3a89ff5cc5cbf52df25dc3
BLAKE2b-256 9ceb80bfc0c7b3ae39643934799bb4698d59f72807d9897665c7c49a0899886c

See more details on using hashes here.

Supported by

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