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

1.12.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.12.0

1.11.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.11.0

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

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

1.19.2

1.19.1

1.18.0

1.17.3

1.17.1

1.16.3

1.16.2

1.16.0

1.15.1

1.15.0

1.14.1

1.14.0

1.13.1

This version

1.12.0

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_training-1.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (88.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

onnxruntime_training-1.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (88.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

onnxruntime_training-1.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (88.8 MB view details)

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

File details

Details for the file onnxruntime_training-1.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime_training-1.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1994f08113611821bc19c6d1d6df84ed54ca2a9ac1c5efce8c09b3459f7bd75e
MD5 0e4b8d18872423e0b798e26e7e3c6b3b
BLAKE2b-256 1e6eee16231d5487bfdbe8e373fb868710d153503cfe4e959323d4d8cfe9601c

See more details on using hashes here.

File details

Details for the file onnxruntime_training-1.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime_training-1.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6ae6c388a4c9e2f3cb6e8a03f842907bfd53356b0128c9e548fa6779c7dfe9ac
MD5 94d12e9f1012dc331c1e39fd79482885
BLAKE2b-256 8ced34ce146fac88fba1802ea725691186c82cc0c274e41f22d35c9a68eab20b

See more details on using hashes here.

File details

Details for the file onnxruntime_training-1.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime_training-1.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 251c1bf2390c3bc932b29546e24d6575979a285daad1b4ba20014bd72a64be0e
MD5 909835de8507a18c4e742457720ca4d4
BLAKE2b-256 f7a0217308b498502b71f5e55eb4b302b843382eec127845a7ba1f429a665791

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