ONNX Runtime Python bindings
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
1.6.0
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_gpu-1.6.0-cp38-cp38-manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6e0915d8c305cc6d434769ddd0b518dfe99c37011621a1f71c40d00e1839bf8f |
|
MD5 | 8df4fc0f6cde6628ab322568ab8c9325 |
|
BLAKE2b-256 | 349049d12b9bd73287b30d1d2c2516522c36adf97eb2c7bb41fcc608197d2e6d |
Hashes for onnxruntime_gpu-1.6.0-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2f03145f348acc6160a10f90f7f247205ae3dcd3d3b2e6b69f1b3a0ff163475e |
|
MD5 | 5e2fe049c8ad807919ac2d85d8d891a3 |
|
BLAKE2b-256 | 5b92124f5f32c45ee327df99da671f006fc3eecedb8a2b7baa3270719de9ea77 |
Hashes for onnxruntime_gpu-1.6.0-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 50b5583db7b82b18d3790b526a000ef925453caee892cb3da7cf38a80c3fd518 |
|
MD5 | ced7f667cc32e0bbb7e65774dd70179e |
|
BLAKE2b-256 | ffe9257443ea15adb0338e33c112cc69a60baf91144b1073c7e589ef26d33558 |
Hashes for onnxruntime_gpu-1.6.0-cp36-cp36m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3df7c569d55feae94f934eb968e40fa6511a60d96b7f2e8b1477236869710590 |
|
MD5 | aad613fe36d0567aca0891c37540ac97 |
|
BLAKE2b-256 | 477ff5b2867b4f908d2246ebdc6a27a9bcea684331a1e62665840d6c1efe7602 |
Hashes for onnxruntime_gpu-1.6.0-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 65e4d70aad1ef4b3c6829d47f9eab9c169cd753c4156485aaa94b675135fb33c |
|
MD5 | a42dd7bbbcbdf8454752f088691c033b |
|
BLAKE2b-256 | a08e2b547d470fec82c36805216bf6776e78a49008e1793e782150e8b940eab6 |
Hashes for onnxruntime_gpu-1.6.0-cp35-cp35m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b5bde8e71059c328a0b25e8352df350c4847aaf0c51012f283872335376a78db |
|
MD5 | c3e3fbc250afa75e09e6a474bd01472f |
|
BLAKE2b-256 | ddc3a3d93540d87e125c76121a3a572b79d5897523d517a9452d5fe17e7790f3 |
Hashes for onnxruntime_gpu-1.6.0-cp35-cp35m-manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e329dceb3506d7da202e3f490dd75db6d465be368ee8a6f62fada282a2d565a9 |
|
MD5 | 4f5601953046dd2be5f0b8294468b61d |
|
BLAKE2b-256 | f0b5960f8132201a15d96625e3713d429076cef9994d22bb1c7a4b6c9aecea15 |