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[QNN EP] Create Windows ARM64 nightly python package#19128

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adrianlizarraga merged 20 commits intomainfrom
adrianl/qnn-arm64-py-package
Jan 23, 2024
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[QNN EP] Create Windows ARM64 nightly python package#19128
adrianlizarraga merged 20 commits intomainfrom
adrianl/qnn-arm64-py-package

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@adrianlizarraga adrianlizarraga commented Jan 13, 2024

Description

Adds a job to create a nightly python package for ORT/QNN on Windows ARM64.
Must build onnxruntime-qnn with python 3.11 and numpy 1.25.

Note: pipeline run may take up to 3 hrs

Motivation and Context

Make it possible to get a nightly python package with the latest updates to QNN EP.
Issue #19161

@adrianlizarraga adrianlizarraga marked this pull request as ready for review January 17, 2024 18:14
@adrianlizarraga adrianlizarraga requested review from a team, HectorSVC, jywu-msft and snnn January 17, 2024 18:14
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adrianlizarraga commented Jan 17, 2024

@snnn Would greatly appreciate your review to ensure I'm following best practices here. Also, do we also need to modify a different pipeline to publish the nightly wheel? Thanks

snnn
snnn previously approved these changes Jan 18, 2024
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snnn commented Jan 18, 2024

I will send the link of the publishing pipeline to you offline.

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Hi @YUNQIUGUO, wanted to let you know that we'd like to cherry pick this into the release branch. It updates the Python packaging pipeline to generate a python wheel for QNN on Windows ARM64.

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:shipit:

@adrianlizarraga adrianlizarraga merged commit 37d14d7 into main Jan 23, 2024
@adrianlizarraga adrianlizarraga deleted the adrianl/qnn-arm64-py-package branch January 23, 2024 02:14
YUNQIUGUO pushed a commit that referenced this pull request Jan 23, 2024
### Description
Adds a job to create a nightly python package for ORT/QNN on Windows
ARM64.
Must build onnxruntime-qnn with python 3.11 and numpy 1.25.

**Note: pipeline run may take up to 3 hrs**

### Motivation and Context
Make it possible to get a nightly python package with the latest updates
to QNN EP.
Issue #19161
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snnn commented Sep 5, 2025

This PR has been cherry-picked into the rel-1.17.0 branch in PR #19243. Removing the release:1.17.0 label.

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4 participants