Update gaudi-docker to v1.24.0 & fix CUDA UT#1708
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Signed-off-by: Sun, Xuehao <xuehao.sun@intel.com>
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Pull request overview
Updates the CI pipeline dependencies used for Habana Gaudi and CUDA unit test runs, and improves duration parsing for test log summaries.
Changes:
- Bump Habana Gaudi Docker image reference from
gaudi-docker/1.23.0(PyTorch installer 2.9.0) togaudi-docker/1.24.0(PyTorch installer 2.10.0) in the Azure Pipelines docker template. - Adjust log duration extraction to use the last reported
in <seconds>soccurrence in log tail content. - Update CUDA unit test dependency install to GPTQModel v6.0.3 (wheel + requirements).
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Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
.azure-pipelines/template/docker-template.yml |
Updates the pulled/run Habana Gaudi container image version used in CI. |
.azure-pipelines/scripts/ut/collect_result.py |
Improves duration parsing robustness by selecting the last time match in logs. |
.azure-pipelines/scripts/cuda_unit_test/run_cuda_ut.sh |
Bumps GPTQModel dependency version used in CUDA unit test setup. |
Signed-off-by: Sun, Xuehao <xuehao.sun@intel.com>
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|
/azp run Unit-Test-CUDA-AutoRound |
|
Azure Pipelines successfully started running 1 pipeline(s). |
chensuyue
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Apr 21, 2026
lvliang-intel
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May 12, 2026
Signed-off-by: Sun, Xuehao <xuehao.sun@intel.com>
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Description
This pull request updates dependencies and improves test script robustness in the CI pipeline. The most significant changes are upgrades to key package versions, improved handling of test duration extraction, and changes to how pre-release dependencies are installed.
Dependency and environment updates:
gptqmodeland its requirements from version 5.8.0 to 6.0.3 in.azure-pipelines/scripts/cuda_unit_test/run_cuda_ut.shto use the latest release from theModelCloud/GPTQModelrepository.sglangdependency intest/test_cuda/requirements_sglang.txtfrom a direct GitHub reference to a PyPI version requirement (sglang >= 0.5.10)..azure-pipelines/template/docker-template.ymlfrom1.23.0/pytorch-installer-2.9.0to1.24.0/pytorch-installer-2.10.0for both pull and run steps. [1] [2]Testing and installation improvements:
--prerelease=allowflag touv pip installcommands forrequirements_sglang.txtin both CUDA unit test scripts to allow installation of pre-release package versions. [1] [2]Test result parsing:
.azure-pipelines/scripts/ut/collect_result.pyto use the last matched time pattern in the test output, ensuring the most accurate test duration is reported.Type of Change
Related Issues
Fixes or relates to #
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