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
1.11.0
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Hashes for onnxruntime_training-1.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | afbe00941f01e38a715c57abe1368d47453a1a0fd2db7912ad0ab5c984acaa31 |
|
MD5 | 619929756cb3c892194ae3f23a27ebbb |
|
BLAKE2b-256 | 688c915dfcc3892ab2262cee44c85b687c97fdb6d3a20123fcd82e87feed40a8 |
Hashes for onnxruntime_training-1.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c55b72b7a279238e350c0554513c9852d3da2a79f01de26d8e95f954ee86932e |
|
MD5 | 1e13893fbbd08ad2285bcf5cd0a27e0f |
|
BLAKE2b-256 | fbba1a77eccc3d08a95e9e9714c02d35f6dfab491a679be5099159c1677e1dea |
Hashes for onnxruntime_training-1.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6a6233d792e10d4612cda5bf589c65c47585a0d6ee265f69267ec872049e0426 |
|
MD5 | 45c06f43571ee4bd50d2a95903d2ea2a |
|
BLAKE2b-256 | af7704a2c4c45bc5ff7b3de37890f5aeaaa0f9bd0e4c1458b66cb4626fdfdac3 |