This release is a pre-release and may not be stable for production use.
ONNX Runtime
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
1.11.0
Release Notes : TBD
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
Metadata
Release files for ort-nightly-directml 1.11.0.dev20220320001
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Actions Reset | |||
|---|---|---|---|---|
| ort_nightly_directml-1.11.0.dev20220320001-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details for ort_nightly_directml-1.11.0.dev20220320001-cp310-cp310-win_amd64.whl |
| ort_nightly_directml-1.11.0.dev20220320001-cp39-cp39-win_amd64.whl | CPython 3.9 | CPython 3.9 | Windows x86-64 | Details for ort_nightly_directml-1.11.0.dev20220320001-cp39-cp39-win_amd64.whl |
| ort_nightly_directml-1.11.0.dev20220320001-cp38-cp38-win_amd64.whl | CPython 3.8 | CPython 3.8 | Windows x86-64 | Details for ort_nightly_directml-1.11.0.dev20220320001-cp38-cp38-win_amd64.whl |
| ort_nightly_directml-1.11.0.dev20220320001-cp37-cp37m-win_amd64.whl | CPython 3.7 | CPython 3.7 pymalloc | Windows x86-64 | Details for ort_nightly_directml-1.11.0.dev20220320001-cp37-cp37m-win_amd64.whl |
Total release size: 45.4 MB
Release files / ort_nightly_directml-1.11.0.dev20220320001-cp310-cp310-win_amd64.whl
| Download URL | ort_nightly_directml-1.11.0.dev20220320001-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 11.3 MB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
d45ec885b625ea910e59316bfea9ccc51592478ad6e4effffe3a99c96947dbdf
|
|
BLAKE2b-256 checksum How to use checksums |
5bbde046d6a16465f2f121d7fba1570f7208ff0220a8c5469dd5fa5a9110a137
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.63.0 CPython/3.10.2
|
Release files / ort_nightly_directml-1.11.0.dev20220320001-cp39-cp39-win_amd64.whl
| Download URL | ort_nightly_directml-1.11.0.dev20220320001-cp39-cp39-win_amd64.whl |
|---|---|
| Size | 11.3 MB |
| Tags | CPython 3.9 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
40534805652f5a7be5f51006a1f0e8656f4b846cd4b9cbe4b6b6b3e2cad1a87a
|
|
BLAKE2b-256 checksum How to use checksums |
2310c48e5115a88e6428d9660f14b4f531e3f01f9c6ee7e52b074487b228c1e8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.63.0 CPython/3.10.2
|
Release files / ort_nightly_directml-1.11.0.dev20220320001-cp38-cp38-win_amd64.whl
| Download URL | ort_nightly_directml-1.11.0.dev20220320001-cp38-cp38-win_amd64.whl |
|---|---|
| Size | 11.3 MB |
| Tags | CPython 3.8 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
4ec03ecd04af3baa4ce9db5ac7542fe847242b8ccffd20b800faaf8815b928cb
|
|
BLAKE2b-256 checksum How to use checksums |
3835853a5875a99bae71436453454121154db2c58f98b18bcff4d26e090ede35
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.63.0 CPython/3.10.2
|
Release files / ort_nightly_directml-1.11.0.dev20220320001-cp37-cp37m-win_amd64.whl
| Download URL | ort_nightly_directml-1.11.0.dev20220320001-cp37-cp37m-win_amd64.whl |
|---|---|
| Size | 11.3 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-64 |
|
SHA-256 checksum How to use checksums |
d1dea4c6d9edc51d67f5e1ef4eb4f9299cec65744cd216ae92b1f559897a239a
|
|
BLAKE2b-256 checksum How to use checksums |
8c53a5532080b09e3c6e16f1837c659914cee9f8d2161a4f44cd7c2294b109ed
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.8.2 requests/2.27.1 setuptools/58.1.0 requests-toolbelt/0.9.1 tqdm/4.63.0 CPython/3.10.2
|
Security for ort-nightly-directml 1.11.0.dev20220320001
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.