ONNX-related tasks for IrisML
Project description
irisml-tasks-onnx
This is a package for tasks related to onnx models.
See irisml repository for the detail of irisml framework, and irisml-tasks-training for tasks related to model training, prediction, and export that are referenced here. Note that these tasks are for working with already-traced onnx models, for tracing see export_onnx task.
Tasks
predict_onnx
Run prediction on a dataset with basic onnx model. Uses the same inputs and outputs as the predict task.
ONNX Format Details
'Basic' ONNX Format
The onnx format generated by the export_onnx task. Very straightforward inference API that expects one already-preprocessed image tensor as input with a fixed size. Currently does not support dynamic image sizes or batching.
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file irisml-tasks-onnx-0.1.5.tar.gz
.
File metadata
- Download URL: irisml-tasks-onnx-0.1.5.tar.gz
- Upload date:
- Size: 6.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.18
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b7fd58200efc7881079126a7ab6b3616b5fb644d9bef818bfca708b92541af1e |
|
MD5 | 54f857e8ecce8f5c10f1cb027815874e |
|
BLAKE2b-256 | e82cbd77e6a149adc39b6eb7985b74aa2261732769c8859070c746c24e9f61ba |
File details
Details for the file irisml_tasks_onnx-0.1.5-py3-none-any.whl
.
File metadata
- Download URL: irisml_tasks_onnx-0.1.5-py3-none-any.whl
- Upload date:
- Size: 6.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.18
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cdf14318e1ffcd9b955494c01b497e8822804596a9d7cab558d7eb5c7368504b |
|
MD5 | 40f2434af4f57401c79e906fa86c9085 |
|
BLAKE2b-256 | bbbd74f8acab1201f6f8cb69764f9c189189640b392a20d9bb639f323dfaaef6 |