onnxruntime

ONNX Runtime Python bindings

These details have not been verified by PyPI

Development Status
- 5 - Production/Stable
Environment
- Console
Intended Audience
- Developers
License
- OSI Approved :: MIT License
Operating System
Programming Language

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

Project details

These details have not been verified by PyPI

Development Status
- 5 - Production/Stable
Environment
- Console
Intended Audience
- Developers
License
- OSI Approved :: MIT License
Operating System
Programming Language

Release history Release notifications | RSS feed

1.20.0

Nov 1, 2024

1.19.2

Sep 4, 2024

1.19.0

Aug 15, 2024

1.18.1

Jun 27, 2024

1.18.0

May 17, 2024

1.17.3

Apr 12, 2024

1.17.1

Feb 25, 2024

1.17.0

Jan 31, 2024

1.16.3

Nov 20, 2023

1.16.2

Nov 9, 2023

1.16.1

Oct 11, 2023

1.16.0

Sep 19, 2023

1.15.1

Jun 16, 2023

1.15.0

May 24, 2023

1.14.1

Feb 27, 2023

1.14.0

Feb 10, 2023

1.13.1

Oct 24, 2022

1.12.1

Aug 4, 2022

1.12.0

Jul 22, 2022

1.11.1

Apr 27, 2022

1.11.0

Mar 25, 2022

1.10.0

Dec 7, 2021

1.9.0

Sep 22, 2021

1.8.1

Jul 7, 2021

1.8.0

Jun 3, 2021

1.7.0

Mar 2, 2021

This version

1.6.0

Dec 10, 2020

1.5.2

Oct 15, 2020

1.5.1

Sep 29, 2020

1.4.0

Jul 17, 2020

1.3.0

May 18, 2020

1.2.0

Mar 10, 2020

1.1.2

Feb 21, 2020

1.1.1

Jan 23, 2020

1.1.0

Dec 19, 2019

1.0.0

Oct 29, 2019

0.5.0

Aug 1, 2019

0.4.0

May 2, 2019

0.3.0

Mar 14, 2019

0.2.1

Feb 1, 2019

0.1.4

Nov 30, 2018

0.1.3

Oct 17, 2018

0.1.2

Sep 21, 2018

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-1.6.0-cp38-cp38-win_amd64.whl (4.2 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.8 Windows x86-64

onnxruntime-1.6.0-cp38-cp38-manylinux2014_x86_64.whl (4.1 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.8

onnxruntime-1.6.0-cp38-cp38-macosx_10_12_x86_64.whl (4.5 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.8 macOS 10.12+ x86-64

onnxruntime-1.6.0-cp37-cp37m-win_amd64.whl (4.2 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.7m Windows x86-64

onnxruntime-1.6.0-cp37-cp37m-manylinux2014_x86_64.whl (4.1 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.7m

onnxruntime-1.6.0-cp37-cp37m-manylinux2014_aarch64.whl (7.1 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.7m

onnxruntime-1.6.0-cp37-cp37m-macosx_10_12_x86_64.whl (4.5 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.7m macOS 10.12+ x86-64

onnxruntime-1.6.0-cp36-cp36m-win_amd64.whl (4.2 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.6m Windows x86-64

onnxruntime-1.6.0-cp36-cp36m-manylinux2014_x86_64.whl (4.1 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.6m

onnxruntime-1.6.0-cp36-cp36m-manylinux2014_aarch64.whl (7.1 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.6m

onnxruntime-1.6.0-cp36-cp36m-macosx_10_12_x86_64.whl (4.5 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.6m macOS 10.12+ x86-64

onnxruntime-1.6.0-cp35-cp35m-win_amd64.whl (4.2 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.5m Windows x86-64

onnxruntime-1.6.0-cp35-cp35m-manylinux2014_x86_64.whl (4.1 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.5m

onnxruntime-1.6.0-cp35-cp35m-manylinux2014_aarch64.whl (7.1 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.5m

onnxruntime-1.6.0-cp35-cp35m-macosx_10_12_x86_64.whl (4.5 MB view hashes)

Uploaded Dec 10, 2020 CPython 3.5m macOS 10.12+ x86-64

Hashes for onnxruntime-1.6.0-cp38-cp38-win_amd64.whl

Hashes for onnxruntime-1.6.0-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`8e8f139b32bf4d1ae9da453d223b7850a56064b6d11b6ea71f1e72fb50081f67`
MD5	`42b57657ed75f8f994b5bf2262364bc8`
BLAKE2b-256	`ab20b6fed5441868d7ef9cc83b17bb2e19b65841d3da621f070cf9697cdc022a`

Hashes for onnxruntime-1.6.0-cp38-cp38-manylinux2014_x86_64.whl

Hashes for onnxruntime-1.6.0-cp38-cp38-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`6d8431f67f7517b20105ebd93530cc1f945c7fc2e77a7c6fb2c415c532d30cc8`
MD5	`35e93eea8519ca92866a7756389dd20f`
BLAKE2b-256	`078733906d5959565093bb23e7c6d4623f1caf2cb43d43745e6ab0293a8ccce2`

Hashes for onnxruntime-1.6.0-cp38-cp38-macosx_10_12_x86_64.whl

Hashes for onnxruntime-1.6.0-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm	Hash digest
SHA256	`972b602edf308f1a28dd3ae98a98f83145c58a6cca8069e7a3131a7a4fa5290e`
MD5	`4368b66db46aec54c78ae1899597eda1`
BLAKE2b-256	`e23c31558a75bd8252ac5154b5713b3534fd6d342d1aa6dbc37710e81e94902f`

Hashes for onnxruntime-1.6.0-cp37-cp37m-win_amd64.whl

Hashes for onnxruntime-1.6.0-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`34a0151de5acd59676562499762cb0c7d41f2134154e00bb626a54b8f3ef8cab`
MD5	`9d1cc642dd56861f6dba2a97cdf49ab1`
BLAKE2b-256	`97f3a478181e3ef52e346994bca35a07ea09ace8f6a314c616732c1d07afa321`

Hashes for onnxruntime-1.6.0-cp37-cp37m-manylinux2014_x86_64.whl

Hashes for onnxruntime-1.6.0-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`124bd65cb7a581dfb25c247990ad07b10511f4682ae90281e1619f9ca804ac36`
MD5	`1b887f9764840a364a187ed26449a4a5`
BLAKE2b-256	`8f1ce456dbf91604e9d35eeb284f8d76f966c60ce17153d66d003b75d4cd5d59`

Hashes for onnxruntime-1.6.0-cp37-cp37m-manylinux2014_aarch64.whl

Hashes for onnxruntime-1.6.0-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`c0bfefac6deb9cc4e9194ee4a0fdca83e5fae8ebece20eff872073e09d0a8951`
MD5	`5488c3884d0b0c7179c2e73fe5d604a8`
BLAKE2b-256	`9345bd6c26d8241d81159e8204a3e04c9695decee10d9257a68c8b24bb4fe39e`

Hashes for onnxruntime-1.6.0-cp37-cp37m-macosx_10_12_x86_64.whl

Hashes for onnxruntime-1.6.0-cp37-cp37m-macosx_10_12_x86_64.whl
Algorithm	Hash digest
SHA256	`49715f9cdbd36749df1bd2439d8a247b2ac61112fc9688dd67e7cf2a4cbe8916`
MD5	`2b544e1cd0e5f3f38772bdf2f9dc79f5`
BLAKE2b-256	`b9fd00bb97cb29caa18132e44f9a20ad9cf11d9e20b77fda77e8ff372df14d76`

Hashes for onnxruntime-1.6.0-cp36-cp36m-win_amd64.whl

Hashes for onnxruntime-1.6.0-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`a19d8c93a9f4ea52b8cbfc8258bbed8e81e72a7a48ebf4f33c18bf3694d492f0`
MD5	`f8b8645fea9626732e9a49c4b9883456`
BLAKE2b-256	`b3174d3bc4ff042e6459d7b99c0ddd24b11d9bd5668bbb738d47561bc0e7d68c`

Hashes for onnxruntime-1.6.0-cp36-cp36m-manylinux2014_x86_64.whl

Hashes for onnxruntime-1.6.0-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`d8a68878044d83ca40d3e86ed5454a9844051cb9a2738794a8ed95b1ebb63e42`
MD5	`d6b1db64c5663379040f50b581dd525e`
BLAKE2b-256	`b3a9f009251fd1b91a2e1ce6f22d4b5be9936fbd0072842c5087a2a49706c509`

Hashes for onnxruntime-1.6.0-cp36-cp36m-manylinux2014_aarch64.whl

Hashes for onnxruntime-1.6.0-cp36-cp36m-manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`8f4650308d697b10479dd8696be93b16fdaa04a52bcdad351e9b72ba5f81b7bb`
MD5	`4e30fe3679a873d94b0a81784a9dc1a4`
BLAKE2b-256	`3447c33b05dd818134606fd6e197025c7587bca05b038938547ea160bd0822df`

Hashes for onnxruntime-1.6.0-cp36-cp36m-macosx_10_12_x86_64.whl

Hashes for onnxruntime-1.6.0-cp36-cp36m-macosx_10_12_x86_64.whl
Algorithm	Hash digest
SHA256	`4e19a3b574f1d35942dbbb18873b9f73802dc11e94d7ef1690de4909af61de34`
MD5	`6240a8dd94efbb7102dd72579c35bf6e`
BLAKE2b-256	`3279bb8dd3fc6bffcda41e04a2bc55656bf9441e639c94f88c94f771f62f1030`

Hashes for onnxruntime-1.6.0-cp35-cp35m-win_amd64.whl

Hashes for onnxruntime-1.6.0-cp35-cp35m-win_amd64.whl
Algorithm	Hash digest
SHA256	`da88ec5a2b6e484f7519c4acf9f441ab77c2b74c14a3e9e8a1b6761519b8f111`
MD5	`958830ece6b15f97c5a52ffe94d76f6b`
BLAKE2b-256	`2403c5deb14e8550f9be21ef107dcc16ecf71518e04a5e3dde27403d21a279cf`

Hashes for onnxruntime-1.6.0-cp35-cp35m-manylinux2014_x86_64.whl

Hashes for onnxruntime-1.6.0-cp35-cp35m-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`ca11f32c320bed752ae0ddbb9c47dff2ebf44fb001a2bf47a8b3b226b3d6b6a0`
MD5	`94c69e3875df5ff53383b92953060f46`
BLAKE2b-256	`f8ad0740791a16a571cd1a83d9405bd252003882f9472aff65f3216cd032a48f`

Hashes for onnxruntime-1.6.0-cp35-cp35m-manylinux2014_aarch64.whl

Hashes for onnxruntime-1.6.0-cp35-cp35m-manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`49fe003cbc5ca5e00e9ff36527f119412436ed62d374fb28c63eb38a6fbd6685`
MD5	`6c71da5743f3a5cc9c6f6428e2421ec1`
BLAKE2b-256	`4f93a6cf9391eaea89a39043988738eef375dde0ecaebb9650a4e0dee7e0060f`

Hashes for onnxruntime-1.6.0-cp35-cp35m-macosx_10_12_x86_64.whl

Hashes for onnxruntime-1.6.0-cp35-cp35m-macosx_10_12_x86_64.whl
Algorithm	Hash digest
SHA256	`718fa0a331baee7382698608c6270f3a096569f1b0c37cc9cbdbaef53172f384`
MD5	`ddd4b8c6ff6b28a1d9df900bee933902`
BLAKE2b-256	`037da4c6670488cf9afe0079503ab38ba754514fcb4f4e54ef4a6aba12f02145`