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

1.9.0

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_directml-1.9.0-cp39-cp39-win_amd64.whl (15.2 MB view details)

Uploaded CPython 3.9 Windows x86-64

onnxruntime_directml-1.9.0-cp38-cp38-win_amd64.whl (15.2 MB view details)

Uploaded CPython 3.8 Windows x86-64

onnxruntime_directml-1.9.0-cp37-cp37m-win_amd64.whl (15.2 MB view details)

Uploaded CPython 3.7m Windows x86-64

onnxruntime_directml-1.9.0-cp36-cp36m-win_amd64.whl (15.2 MB view details)

Uploaded CPython 3.6m Windows x86-64

File details

Details for the file onnxruntime_directml-1.9.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: onnxruntime_directml-1.9.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 15.2 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.1 requests/2.26.0 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for onnxruntime_directml-1.9.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1aeac3f41b2f423a5dbfa7fa5aac2c1d6e9489515ce4d9fdfec9f18f8553ac76
MD5 efdbcec542b4d80aa838aa24776d0d90
BLAKE2b-256 d1797f53f787bbc08b2914560ce59b7a11e66e55eea2699051bc37e6a5efc7d1

See more details on using hashes here.

File details

Details for the file onnxruntime_directml-1.9.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: onnxruntime_directml-1.9.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 15.2 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.1 requests/2.26.0 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for onnxruntime_directml-1.9.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 927215ec4576208ea2fa00a3b86807a6434af2e94834f3153783405215d90ac9
MD5 f0224dbf4af29bd75a1d694ee1a6e018
BLAKE2b-256 8c8e10cf705f63124dbfca053b08074e48f36889fde4a9cb54f521bd97a652cb

See more details on using hashes here.

File details

Details for the file onnxruntime_directml-1.9.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: onnxruntime_directml-1.9.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 15.2 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.1 requests/2.26.0 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for onnxruntime_directml-1.9.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 b344ebd04d1113755168cdd603dacdaac5d93e58ff76d6613aa3218a768f38b8
MD5 c3fc6b8f953d7cfe9f69556892fcafbb
BLAKE2b-256 92fc3bac618f94dcaac17473d368823302392eef6c863e75a43e419ee1060ac7

See more details on using hashes here.

File details

Details for the file onnxruntime_directml-1.9.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: onnxruntime_directml-1.9.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 15.2 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.1 requests/2.26.0 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for onnxruntime_directml-1.9.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 2f2f29eb4ff62d3bb9bbfa9ae728de3aafaec786b602c63138c5b900ddbbbd0e
MD5 3a2310e3373a5041aef8e036d3a73213
BLAKE2b-256 43f95f671ec1204b73df1557df519815959e7795d7bff6cde11a9dea1f466d22

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