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  1. ci/official/utilities/setup_macos.sh

      export TEST_TMPDIR="${TFCI_MACOS_BAZEL_TEST_DIR_PATH}"
    fi
    
    # "TFCI_MACOS_INSTALL_BAZELISK_ENABLE" is used to decide if we need to install
    # Bazelisk manually. We enable this for macOS x86 builds as those VMs do not
    # have Bazelisk pre-installed. "TFCI_MACOS_INSTALL_BAZELISK_URL" contains the
    # link to the Bazelisk binary which needs to be downloaded.
    if [[ "${TFCI_MACOS_INSTALL_BAZELISK_ENABLE}" == 1 ]]; then
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Mon Jun 23 23:03:02 UTC 2025
    - 6.8K bytes
    - Viewed (0)
  2. ci/devinfra/docker/windows/Dockerfile

    RUN C:\TEMP\vs_community.exe \
            --quiet --wait --norestart --nocache \
            --add Microsoft.VisualStudio.Component.VC.Tools.x86.x64 \
            --add Microsoft.VisualStudio.Workload.NativeDesktop \
            --add Microsoft.VisualStudio.Component.VC.14.39.17.9.x86.64 \
            --add Microsoft.VisualStudio.Component.Windows11SDK.22621 \
            --add Microsoft.VisualStudio.Component.VC.ATL \
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Fri Jan 17 16:35:57 UTC 2025
    - 8.4K bytes
    - Viewed (0)
  3. ci/official/containers/ml_build/builder.devtoolset/build_devtoolset.sh

    case "${VERSION}" in
    devtoolset-7)
    mv "/${TARGET}/usr/lib/libstdc++.so.${LIBSTDCXX_VERSION}" \
       "/${TARGET}/usr/lib/libstdc++.so.${LIBSTDCXX_VERSION}.backup"
    echo -e "OUTPUT_FORMAT(elf64-x86-64)\nINPUT ( libstdc++.so.6.0.13 -lstdc++_nonshared44 )" \
       > "/${TARGET}/usr/lib/libstdc++.so.${LIBSTDCXX_VERSION}"
    cp "./x86_64-pc-linux-gnu/libstdc++-v3/src/.libs/libstdc++_nonshared44.a" \
       "/${TARGET}/usr/lib"
      ;;
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Tue Sep 24 20:45:58 UTC 2024
    - 8K bytes
    - Viewed (0)
  4. ci/official/README.md

    These "env" files match up with an environment matrix that roughly covers:
    
    -   Different Python versions
    -   Linux, MacOS, and Windows machines (these pool definitions are internal)
    -   x86 and arm64
    -   CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs
    
    ## How to Test Your Changes to TensorFlow
    
    You may check how your changes will affect TensorFlow by:
    
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Thu Feb 01 03:21:19 UTC 2024
    - 8K bytes
    - Viewed (0)
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