Split out Linux CUDA Python package builds into separate stages#27490
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Split out Linux CUDA Python package builds into separate stages#27490
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Pull request overview
Splits the Linux CUDA Python wheel build into one stage per Python version to enable parallel execution and reduce end-to-end packaging time, while reintroducing a single combined wheel artifact for downstream stages.
Changes:
- Parameterized the Linux GPU wheel stage to build a single Python version per stage and optionally publish build intermediates.
- Updated the GPU packaging stage to fan out Linux builds across Python versions and added a merge stage to produce a combined
onnxruntime_gpuartifact.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
| tools/ci_build/github/azure-pipelines/stages/py-linux-gpu-stage.yml | Adds per-Python build parameters, optional intermediates publishing, and publishes per-version wheel artifacts. |
| tools/ci_build/github/azure-pipelines/stages/py-gpu-packaging-stage.yml | Introduces a Linux per-version stage fan-out and a merge stage to combine wheel artifacts for consumers. |
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eserscor
previously approved these changes
Mar 2, 2026
tools/ci_build/github/azure-pipelines/stages/py-gpu-packaging-stage.yml
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This reverts commit e0f8bdf.
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Pull request overview
Copilot reviewed 3 out of 3 changed files in this pull request and generated 3 comments.
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eserscor
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Mar 2, 2026
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Description
Split out Linux CUDA Python package builds into separate stages.
Motivation and Context
Reduce overall packaging pipeline time by running Python version builds in separate stages, allowing them to run in parallel.
Example build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=1102253&view=results
Reduced time from ~3h30m to 1h38m.