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
1.13.1
Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.13.1
1.13.0
Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.13.0
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
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-1.13.1-cp310-cp310-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f535a4957e7e5c352911a0e6378c516ba90ae6558dc55482e6c138a97e6e2c58 |
|
| MD5 | d708b24d16ded3f5adffc67ba4821c11 |
|
| BLAKE2-256 | c88761e9bfba47d56d3c04c0d9450209e28ef3383088c542e900a2a15c9bad79 |
Hashes for onnxruntime_gpu-1.13.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 96f2bf6cb1f8a06309d7729b6b5b461a22a1af81ceec65d9bf7c4a97b72ab8b0 |
|
| MD5 | 0dec07e29089e1dddf688f1d5b2a2134 |
|
| BLAKE2-256 | 1db28012f366b26ab444419fc906c940e2d0e88e64f62d2dfa6bebba54ee160d |
Hashes for onnxruntime_gpu-1.13.1-cp39-cp39-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5347fe3a6f2f723e2f94ea625310dc37f31146c4517329c9532954410cf9b72e |
|
| MD5 | 3a48cae222d142da2d929bd9e6a21353 |
|
| BLAKE2-256 | 5475800beeaa518222f886d8a2de2eb5708806eb4dcb3b2388e341cf7402acfd |
Hashes for onnxruntime_gpu-1.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 40e468102d0bda6704bd2edea2946e413110be1288803a8597f0cf001a0a0233 |
|
| MD5 | e7e3291c0b72cac68e1baae9c6ec1f18 |
|
| BLAKE2-256 | fb1258047e8aff9a284a4a04268d21d72db522fe5a22c4b63e06154ac4a793c1 |
Hashes for onnxruntime_gpu-1.13.1-cp38-cp38-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cda229e4fb069acd848680c59bedd86ecaf08ee773ef83414feb16d74b4f8404 |
|
| MD5 | 16642377003f764796de6f8daabea606 |
|
| BLAKE2-256 | 81645e6bb0463425418978071641ba0deeaea3b322634c6d3f979eeffdf934d4 |
Hashes for onnxruntime_gpu-1.13.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 06204a56d8c754ad90d4d0f27ce3a86154b02603b5a3e346e03fd8074a19e8d8 |
|
| MD5 | 20a170ee41d75b3cac11cbaaf228797a |
|
| BLAKE2-256 | c6354a24fffb931334a80a69d5c9705fb8a86e6e73de3806c061fa288a440632 |
Hashes for onnxruntime_gpu-1.13.1-cp37-cp37m-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4161e3a0af092b5df5ddc46262434c90e0cd78852cf654c4e8988b838a6ace39 |
|
| MD5 | cb47c8db95eedb12ec11684d7dc369e1 |
|
| BLAKE2-256 | b45de79e2f2f59b297c715a27ea2ec6171d851d49536f03c3584a05b40d73b4d |
Hashes for onnxruntime_gpu-1.13.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | caaa4c0cbc648f091a1de89d8a9921d770c345d6ab689c6438d0a9826d3297c5 |
|
| MD5 | ac0fba75d77392008734ca8ac1650ee5 |
|
| BLAKE2-256 | 6ceb76be952378b96d73e9b70958278ecc3013175faeab7ca74ba43906171eb8 |