Skip to main content

ONNX Runtime is a runtime accelerator for Machine Learning models

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

1.11.1

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.11.1

1.11.0

Release Notes : TBD

1.10.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.10.0

1.9.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.9.0

1.8.2

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.8.2

1.8.1

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.8.1

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

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-1.11.1-cp39-cp39-win_amd64.whl (5.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

onnxruntime-1.11.1-cp39-cp39-win32.whl (4.8 MB view details)

Uploaded CPython 3.9 Windows x86

onnxruntime-1.11.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

onnxruntime-1.11.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (6.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

onnxruntime-1.11.1-cp39-cp39-macosx_10_15_x86_64.whl (5.7 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

onnxruntime-1.11.1-cp38-cp38-win_amd64.whl (5.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

onnxruntime-1.11.1-cp38-cp38-win32.whl (4.8 MB view details)

Uploaded CPython 3.8 Windows x86

onnxruntime-1.11.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

onnxruntime-1.11.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (6.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

onnxruntime-1.11.1-cp38-cp38-macosx_10_14_x86_64.whl (5.7 MB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

onnxruntime-1.11.1-cp37-cp37m-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.7m Windows x86-64

onnxruntime-1.11.1-cp37-cp37m-win32.whl (4.8 MB view details)

Uploaded CPython 3.7m Windows x86

onnxruntime-1.11.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.2 MB view details)

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

onnxruntime-1.11.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (6.0 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

onnxruntime-1.11.1-cp37-cp37m-macosx_10_14_x86_64.whl (5.7 MB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

File details

Details for the file onnxruntime-1.11.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: onnxruntime-1.11.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4

File hashes

Hashes for onnxruntime-1.11.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 b1ffefc961fc607e5929fef92f3bc8bc48bd3a074b2a6448887be23eb313f75a
MD5 5e45d5cbbb79961d37015d4445a035b2
BLAKE2b-256 b58833c7763a11be3a6133a081b9e121ebfc3d5a421f42fa048fb5399757d97f

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: onnxruntime-1.11.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 4.8 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4

File hashes

Hashes for onnxruntime-1.11.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 b90124277454c50c5b2073bb9e1368b2a5672f30c2c8f3fe01393967dcd6dce2
MD5 faf869dabdbcae4505c4472145edaa49
BLAKE2b-256 00ce9c82015a5b210ba69bf0e8bd84c1ad84b449e493ea4c5c3fc2c1f66db303

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.11.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 53121b024f68d6b16bb93bc3fb73ba05b6f55647d12054a8efae7f48ed761add
MD5 aa466c0cdc60ec8304b9f9e3ec0e7710
BLAKE2b-256 2a9cbc38a8369da03010a7d4a30cd90e2de40b91446dee8e6bb4342a5bfbccab

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.11.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 03ce95870b0bc7cbef5383b3c3062c6d9784af71f266192bc887928d7b927a46
MD5 7393b9b48f68abfa226bdf30fa7b2658
BLAKE2b-256 6680ea1a7485014975a9bd00d5c2bac9e787dd21351e765f01ab14e27c652118

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: onnxruntime-1.11.1-cp39-cp39-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: CPython 3.9, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4

File hashes

Hashes for onnxruntime-1.11.1-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 792985ddf3d3c46efa24bcfef970e7ccd4421d46173a96ca3974dab709598591
MD5 664ce916960264a7f8eda3735034f075
BLAKE2b-256 503aa3dc1f0bdc62d6eb3be096a51e55ac3c24cb505dfbff9dcff9ebbc28531f

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: onnxruntime-1.11.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4

File hashes

Hashes for onnxruntime-1.11.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 00632fc2ee3cf86349f5b00f5385a62fe5720ef14b471c919cc2c94faeb446d0
MD5 28b5f0ebff4f82718781a0d510e4bf70
BLAKE2b-256 64b6c138a42b5e58bbb9167643d52a43b0698c6e511a0ae9b3b614a87653c319

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: onnxruntime-1.11.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 4.8 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4

File hashes

Hashes for onnxruntime-1.11.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 9e202d7323b5728cdc3c0ee3bbc35f10cd56c7120c9626887c4ebe5d8503b488
MD5 64c374fc826e6f694250f0fc0164e095
BLAKE2b-256 24e339d95f168e233f2e007f5ae38f030f0eaf205e51db0d5ea8c6257b4ea48f

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.11.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 149bf850c4e320e33894cab3e350a945ab17690cf54ffa00ef965273112ef614
MD5 129afd23eee0a914a2e8ef8e692593d9
BLAKE2b-256 01800ac8d2cddd153aa5fee60330c32a06d717eac8c7104d18409b027f2fe1af

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.11.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 73c4df0a446fe49d59629746d2163fa39b732b6afb3b5d00f8c9ec91a040e5c4
MD5 679a5b1307ddf9a473ec351f6008e73f
BLAKE2b-256 5c12786be7d505c7faf894419d33c1dbbfa94abdbaeaf6007262b6072095af4d

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: onnxruntime-1.11.1-cp38-cp38-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: CPython 3.8, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4

File hashes

Hashes for onnxruntime-1.11.1-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 b24a3cd1e6d7fe7c4c5be2996ba02ebf8beed6347b2fd3ac869d1c685a2e0264
MD5 5808a3388d832d9689322e4280dfeb89
BLAKE2b-256 c81e8e3758abd8e8276b5acc8a2e67be9b3818791dcd70b7d19f233028e2a070

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: onnxruntime-1.11.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4

File hashes

Hashes for onnxruntime-1.11.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 80775f4f64850b6774dbaa955888a89dc719cf654f1995ed5418e78c0139b5f4
MD5 bda4e8224c0307034693adc43bc5c4ba
BLAKE2b-256 8a81ed5c31aedd2b6586b8e33a2010665e6cc9399ddbcd739989a3308041bbb6

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: onnxruntime-1.11.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 4.8 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4

File hashes

Hashes for onnxruntime-1.11.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 3106bfcd1532afcaa26fc47931f7a8770dc710263647e8fbb5f75fa5a8fc70f9
MD5 742a1be7a2479a3ff08db007156380b9
BLAKE2b-256 c3c1816ef0ee9bff6575c2fbe6de2223cef7d95ada20712935a6d0d6f748f75e

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.11.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f3f83e7d52932b68b08cfba4920816efc7c3177036a90116137b11888e1f2490
MD5 ac74638869d6cb378c1c2e3835e7c5a5
BLAKE2b-256 df145984d2ef45bfad02d3896cf569f5b4c19ceb3189c367b64b537127c3edfc

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for onnxruntime-1.11.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 958974be7808b46815533c74e8849a2d73e73d656df8369a114ce3359f77760b
MD5 30275e187429b79996285eea57cd55d1
BLAKE2b-256 8b34256d74fb0d647e0c8aa50d862c63722b9238c4510820a77de752a0f41903

See more details on using hashes here.

File details

Details for the file onnxruntime-1.11.1-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: onnxruntime-1.11.1-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4

File hashes

Hashes for onnxruntime-1.11.1-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 88b94a900754ef189c2b06f2046f2de8008753e0e8a3e562b2fb03298026b4b4
MD5 6815f59e22129079fb86808a0ee86685
BLAKE2b-256 6dbe870f7bf655caf251eeebb51437fec71b4f0aafca688c79fa91a47b8d6a7c

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