Ubuntu runners were failing with "No space left on device" during dependency installation. The workflow installs ~15GB of ML packages (TensorFlow, PyTorch, OpenCV) but runners only have ~14GB available after OS and pre-installed toolchains.

Changes

• Free disk space before installation (~10-20GB recovered)

  • Remove unused toolchains: .NET SDK, Android SDK, GHC, CodeQL
  • Prune Docker images
  • Only runs on Linux runners

• Disable pip caching (--no-cache-dir on all pip installs)

  • Prevents additional GBs of wheel files accumulating during installation
  • Applied to TensorFlow, requirements.txt, pytest, and functional test installations

- name: Free up disk space
  if: runner.os == 'Linux'
  run: |
    sudo rm -rf /usr/share/dotnet /usr/local/lib/android /opt/ghc /opt/hostedtoolcache/CodeQL
    sudo docker image prune --all --force

Total available space increases from ~14GB to ~24-34GB, sufficient for all dependencies.

the guthub actions is hitting memory errors, why?

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