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
1.9.1
Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.9.1
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
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_powerpc64le-1.9.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b4371873ca6f611b1f4ef646ef3b7b0d360a45b207c1bcd0d2d8072a78a8f959 |
|
MD5 | ffda25a02165082dd2217d2365c5db25 |
|
BLAKE2b-256 | 07db12e0340234c8b96f5d3ccde213e95fda61bb47c433447220024a78417881 |
Hashes for onnxruntime_powerpc64le-1.9.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4db7dfa10f98943e0a4a69d078187d62abbb06605157fe527cb6022b694770cd |
|
MD5 | 81aab7b65385ebf19b677fc4f290a0d4 |
|
BLAKE2b-256 | a0a9dc25868a4d88c602cd569988b9c71785f5acd169bef03723b38b72d94a5d |
Hashes for onnxruntime_powerpc64le-1.9.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 38a477f0c7442cb1132ca242a488e47435d317c378e46bc907a0d8972e85e5e0 |
|
MD5 | 5ed32da4b3c7a6f58d1c4852b49747e1 |
|
BLAKE2b-256 | 61742c544278c307df6f410aa4bf3e6fb82e9a28af9d16e2799dc6cf65e32c09 |