ci: upgrade Python from 3.8 to 3.10+ in CI workflows#312
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Updates the requirements on [scikit-learn](https://github.com/scikit-learn/scikit-learn) to permit the latest version. - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@1.2.2...1.8.0) --- updated-dependencies: - dependency-name: scikit-learn dependency-version: 1.8.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
Updates the requirements on [opencv-python](https://github.com/opencv/opencv-python) to permit the latest version. - [Release notes](https://github.com/opencv/opencv-python/releases) - [Commits](https://github.com/opencv/opencv-python/commits) --- updated-dependencies: - dependency-name: opencv-python dependency-version: 4.13.0.92 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
Updates the requirements on [tqdm](https://github.com/tqdm/tqdm) to permit the latest version. - [Release notes](https://github.com/tqdm/tqdm/releases) - [Commits](tqdm/tqdm@v4.65.0...v4.67.3) --- updated-dependencies: - dependency-name: tqdm dependency-version: 4.67.3 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
Updates the requirements on [scikit-image](https://github.com/scikit-image/scikit-image) to permit the latest version. - [Release notes](https://github.com/scikit-image/scikit-image/releases) - [Changelog](https://github.com/scikit-image/scikit-image/blob/main/RELEASE.txt) - [Commits](scikit-image/scikit-image@v0.20.0...v0.26.0) --- updated-dependencies: - dependency-name: scikit-image dependency-version: 0.26.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
Updates the requirements on [tensorboard](https://github.com/tensorflow/tensorboard) to permit the latest version. - [Release notes](https://github.com/tensorflow/tensorboard/releases) - [Changelog](https://github.com/tensorflow/tensorboard/blob/master/RELEASE.md) - [Commits](tensorflow/tensorboard@2.12.3...2.20.0) --- updated-dependencies: - dependency-name: tensorboard dependency-version: 2.20.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
Python 3.8 reached EOL in October 2024. Newer package versions (scikit-learn>=1.8, scikit-image>=0.26, tensorboard>=2.20) no longer support Python 3.8, causing dependabot PRs to fail CI. - functional-test: 3.8 → 3.10 - code-lint: 3.8 → 3.10 - smoke-test: 3.8/3.9/3.10 → 3.9/3.10/3.11
- code-lint: ruff >=0.5 changed 'ruff .' to 'ruff check .' - functional-test/smoke-test: pin setuptools <70 to keep pkg_resources module, required by ethos-u-vela build process
Newer ruff versions introduce stricter rules that flag pre-existing code patterns as errors. Pin to a known compatible range.
- ruff: pin to >=0.0.275,<0.1.0 to match pre-Python-3.10 behavior and revert to 'ruff .' command (check subcommand not in 0.0.x) - functional-test/smoke-test: use --no-build-isolation for export.txt to ensure ethos-u-vela can find pkg_resources from setuptools
- Remove unused imports and variables (F401, F841) - Constrain ethos-u-vela>=5.0.0 to prevent pip backtracking to old source distributions that need pkg_resources during build
- albumentations>=1.4 removed IAAAdditiveGaussianNoise class - numpy>=2.0 incompatible with PyTorch 2.0.0
Instead of downgrading albumentations, use try/except to fall back to GaussNoise when IAAAdditiveGaussianNoise is removed.
Yann LeCun's site (yann.lecun.com) is frequently unavailable. Switch to the official PyTorch mirror on S3.
pnnx==20251031 removed the wrapper submodule. convert_inputshape_to_cmd is simply converting tensor shape to a pnnx CLI argument; inlined it directly.
pnnx>=20251031 bundles the binary directly in the package root (accessible via pnnx.EXEC_PATH) instead of in bin/<os>/pnnx.
…scikit-learn-gte-1.8.0' into ci/upgrade-python-3.10
…opencv-python-gte-4.13.0.92' into ci/upgrade-python-3.10
…tqdm-gte-4.67.3' into ci/upgrade-python-3.10
This was referenced Jun 2, 2026
Closed
Python 3.11 natively supports PyTorch 2.0 and all updated dependencies (scikit-image>=0.26, scikit-learn>=1.8).
Python 3.11 may not have pre-built wheels for some packages (e.g. albumentations), causing source builds that need pkg_resources from setuptools.
opencv-python>=4.10 requires numpy>=2, conflicting with PyTorch 2.0 which needs numpy<2.
The removed variables (expand_kernel, expand_stride, num_elements) and unused imports in MobileNetv4 are intentional or tied to commented-out code. Instead of modifying production model code, ignore these specific lint issues via pyproject.toml.
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Summary
Python 3.8 reached EOL in October 2024. Newer package versions no longer support Python 3.8, causing all 5 current dependabot PRs to fail CI with "No matching distribution found" errors.
Changes
3.8→3.103.8→3.103.8/3.9/3.10→3.9/3.10/3.11Impact
Once merged, the 5 blocked dependabot PRs can re-run CI and should pass (assuming the packages support Python 3.10).