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

1.12.1

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.12.1

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-1.12.1-cp310-cp310-win_amd64.whl (110.8 MB view details)

Uploaded CPython 3.10 Windows x86-64

onnxruntime_gpu-1.12.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (111.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

onnxruntime_gpu-1.12.1-cp39-cp39-win_amd64.whl (110.8 MB view details)

Uploaded CPython 3.9 Windows x86-64

onnxruntime_gpu-1.12.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (111.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

onnxruntime_gpu-1.12.1-cp38-cp38-win_amd64.whl (110.8 MB view details)

Uploaded CPython 3.8 Windows x86-64

onnxruntime_gpu-1.12.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (111.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

onnxruntime_gpu-1.12.1-cp37-cp37m-win_amd64.whl (110.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

onnxruntime_gpu-1.12.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (111.0 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

File details

Details for the file onnxruntime_gpu-1.12.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: onnxruntime_gpu-1.12.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 110.8 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.3 requests/2.28.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.5

File hashes

Hashes for onnxruntime_gpu-1.12.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 ecfe97335027e569d4f46725ba89316041e562b8c499690e25e11cfee4601cd1
MD5 edfc3861a4bc5760b7a765dff12386df
BLAKE2b-256 4c606092e0cb4f0ffb42d2aadcef1f9e905a036ec02189fad2aebc5d95d79d29

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.12.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime_gpu-1.12.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 42b0393c5122ed90fa2eb76192a486261d86e9526ccb78b2a98923c22791d2d1
MD5 a9a01b42177684ac8a7b3cede64e462c
BLAKE2b-256 60748bb56e1b2c285773c3c61403854d1867c5a870b5136ab5d6b644779d8cba

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.12.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: onnxruntime_gpu-1.12.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 110.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.3 requests/2.28.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.5

File hashes

Hashes for onnxruntime_gpu-1.12.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 fd919373be35b9ba54210688265df38ad5e19a530449385c40dab51da407345d
MD5 7e7a517133a0135239ffb48fe24d9b33
BLAKE2b-256 c531196207b57a9ede7114b297693b68b62932caf841f17e003915504d25710c

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.12.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime_gpu-1.12.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8e46d0724ce54c5908c5760037b78de741fbd48962b370c29ebc20e608b30eda
MD5 650bc9b4a87e1912a532b101e52c13b5
BLAKE2b-256 53c1796ad17803053d4273e02ded20c59d4bf63ffdf19a69b17022d49a3b824c

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.12.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: onnxruntime_gpu-1.12.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 110.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.3 requests/2.28.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.5

File hashes

Hashes for onnxruntime_gpu-1.12.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 296bd9733986cb7517d15bef5535c555d3f863963a71e6575e92d2a854aee61d
MD5 55b8e9344397dcf224358b3986fdaab5
BLAKE2b-256 9accbb4111dc96c8de9c811ab5f2d481eec033b482db227482cb7aeb64d9975c

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.12.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime_gpu-1.12.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b37872527d03d3df10756408ca44014bd6ac354a044ab1c4286cd42dc138e518
MD5 f776d1edc460fc0fc14ec63beebc07a7
BLAKE2b-256 b9ce234c2dc01a7f08dd7cd8b4f9a8ef97bfad98864cea30bf735b8387230963

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.12.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: onnxruntime_gpu-1.12.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 110.8 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.8.3 requests/2.28.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.5

File hashes

Hashes for onnxruntime_gpu-1.12.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 d73204323aefebe4eecab9fcf76e22b1a00394e3d838c2962a28a27301186b73
MD5 825be1ef832b45d7baaf80f14fae5c7c
BLAKE2b-256 11e089fc9024ce69530115becaced9dc2988a570e755e16d96011059197f5b42

See more details on using hashes here.

File details

Details for the file onnxruntime_gpu-1.12.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for onnxruntime_gpu-1.12.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e2be6f7f5a1ce0bc8471ce42e10eab92cfb19d0748b857edcb5320b5e98311b7
MD5 f49842b312a3f14018c9b16c6261bcd7
BLAKE2b-256 8b05922f716ec6239cb126d26b64ae1c60a91bdf2b27c56ac62ac9199015e489

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