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pytorch - ✅(Solved) Fix [XPU] Upgrade the XPU support packages version to 2026.0 in CI/CD [1 pull requests, 1 participants]

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pytorch/pytorch#182000•Fetched 2026-05-01 05:32:59
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Fix Action

Fixed

PR fix notes

PR #182003: [BE] Upgrade XPU support package to 2026.0

Description (problem / solution / changelog)

Summary

Upgrade oneAPI Deep Learning Essentials from 2025.3 to 2026.0 for both Linux and Windows CI/CD.

  • Update offline installer URLs for DLE 2026.0 (Linux .sh and Windows .exe)
  • Bump all PyPI runtime dependency versions to their 2026.0.0 releases
  • Update XPU_VERSION references across CI/CD scripts

Fixes https://github.com/pytorch/pytorch/issues/182000

cc @gujinghui @EikanWang @fengyuan14 @guangyey

Changed files

  • .ci/docker/build.sh (modified, +2/-2)
  • .ci/docker/common/install_xpu.sh (modified, +4/-4)
  • .ci/docker/manywheel/Dockerfile_2_28 (modified, +1/-1)
  • .ci/pytorch/binary_windows_build.sh (modified, +1/-1)
  • .ci/pytorch/binary_windows_test.sh (modified, +1/-1)
  • .ci/pytorch/windows/internal/xpu_install.bat (modified, +5/-8)
  • .github/scripts/generate_binary_build_matrix.py (modified, +21/-21)
  • .github/workflows/generated-linux-binary-manywheel-nightly.yml (modified, +7/-7)
  • .github/workflows/generated-windows-binary-wheel-nightly.yml (modified, +7/-7)
RAW_BUFFERClick to expand / collapse

As the XPU support packages deep learning essential 2026.0 has been public released.

  • Dependency.
    • Update new dependencies name in test-infra
  • Step 1. Upgrade 2026.0
    • Upgrade 2026.0 CI test both for Linux & Windows
    • Upgrade CD build with 2026.0 and add new runtime Pypi packages dependencies both for Linux & Windows CD whls
    • pytorch/test-infra repo update
    • pytorch libs repo update if need

cc @atalman @gujinghui @EikanWang @fengyuan14 @guangyey

extent analysis

TL;DR

Upgrade to the 2026.0 version of the deep learning essentials package and update dependencies in test-infra and relevant repositories.

Guidance

  • Verify the compatibility of the new dependencies with the existing test infrastructure before updating.
  • Update the CI test scripts for both Linux and Windows to use the 2026.0 version.
  • Ensure the CD build is updated with the 2026.0 version and includes the new runtime Pypi packages dependencies for both Linux and Windows.
  • Check the pytorch/test-infra and pytorch/libs repositories for any necessary updates.

Notes

The guidance provided assumes that the 2026.0 version is compatible with the existing infrastructure and does not introduce any breaking changes.

Recommendation

Apply workaround: Upgrade to the 2026.0 version, as it seems to be the latest release with updated dependencies and features.

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