Skip to main content

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

1.16.2

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.16.2

1.16.1

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.16.1

1.16.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.16.0

1.15.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.15.0

1.14.0

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.14.0

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

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_gpu-1.16.2-cp311-cp311-win_amd64.whl (141.5 MB view details)

Uploaded CPython 3.11 Windows x86-64

onnxruntime_gpu-1.16.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (157.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

onnxruntime_gpu-1.16.2-cp310-cp310-win_amd64.whl (141.5 MB view details)

Uploaded CPython 3.10 Windows x86-64

onnxruntime_gpu-1.16.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (157.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

onnxruntime_gpu-1.16.2-cp39-cp39-win_amd64.whl (141.5 MB view details)

Uploaded CPython 3.9 Windows x86-64

onnxruntime_gpu-1.16.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (157.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

onnxruntime_gpu-1.16.2-cp38-cp38-win_amd64.whl (141.5 MB view details)

Uploaded CPython 3.8 Windows x86-64

onnxruntime_gpu-1.16.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (158.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

File details

Details for the file onnxruntime_gpu-1.16.2-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for onnxruntime_gpu-1.16.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 bae364c4bb281c654e5ee5f74fd1779ca3517ab1801cd81cfd3014aae490592e
MD5 c1a4ffb62f722c05c5925519eacbbeff
BLAKE2b-256 5a028755dd9427989ebb9d771642f201c19d9c4dee52d8dd5eb4d3835c074f1f

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.16.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime_gpu-1.16.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f10399d051dae1c496ee812e388da74bf03888ad0e01dcac4859eed4750f8c42
MD5 d68c51af8074a9be100c2d6e78cfcb1d
BLAKE2b-256 97bd3c5498edbd8bbea226e9104e25956693128d4a5ad09f5f9f8b73b14191fd

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.16.2-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for onnxruntime_gpu-1.16.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 6713feab198ad67db44c9354c052603872b926a4175e496a7b5069224d7b75bc
MD5 65bcbdf2d1f172675dea6355ee54ac85
BLAKE2b-256 493d85407fedd7b4211e03ded8f3d237a752f88d4907e679e7d12cb8fc2e2d87

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.16.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime_gpu-1.16.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0cfcac6d84ca94b1785c95c6412edc7d7a894055c2fbb854c75f875fb44b2df9
MD5 ab8e3550855787982bc27f8d367559b0
BLAKE2b-256 ca74cdf91fbaa85887ea1530936d63c87b948230c7ead88a1c0bf881243aaf7f

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.16.2-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for onnxruntime_gpu-1.16.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 42ba53e866efa59d03e9ef5b21b1fb4e11222600b8843b91c488138e091dfca7
MD5 7a549d5ac7fba85b05601f6beeb5d2d2
BLAKE2b-256 3aae9a9c6befeea688d97ded37b162c86913d6c2a22782d5437645fb4012cbae

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.16.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime_gpu-1.16.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5a692c53604558dc80880401875f6e975c544af141f650c295b970a3fa59c723
MD5 21853db9eb0cb78861e8d2206d93900e
BLAKE2b-256 b4cb59f86ba5d43a7189adb5268836717f05ccd4fab8476710afdb9a08c5b5c0

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.16.2-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for onnxruntime_gpu-1.16.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 65848e0a01546a78207824c44e893dc03eead71ce22bf70530f53fbe358b0e3d
MD5 546754f886615e1f44f801914f488693
BLAKE2b-256 6c9763601b1d5bc55388e9a094788b0617abc427ee236e14bf40492da83e5cb8

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.16.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime_gpu-1.16.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a2638e46d4139c8e1eb08246661ae51ef206c90178f1d8872695681e157b8a44
MD5 624404494072a6c72768564d84543d4c
BLAKE2b-256 1e923d1bdf8b99f9318f622a47903d65f76b0dfc6c386b6e21117c1e57c89cf5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page