RUN wget https://github.com/NixOS/patchelf/releases/download/0.18.0/patchelf-0.18.0-x86_64.tar.gz && tar -zxvf patchelf-0.18.0-x86_64.tar.gz -C /usr && rm -rf patchelf-0.18.0-x86_64.tar.gz

# Don't use the bazel cache when a new docker image is created.
RUN echo build --action_env=DOCKER_CACHEBUSTER=$(date +%s%N)$RANDOM >> /etc/bazel.bazelrc

TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-x86_64"
TFCI_OUTPUT_DIR=build_output
TFCI_WHL_AUDIT_ENABLE=1
TFCI_WHL_AUDIT_PLAT=manylinux_2_27_x86_64
TFCI_WHL_BAZEL_TEST_ENABLE=1
TFCI_WHL_SIZE_LIMIT=300M

      - name: AVD System Image Cache
        uses: actions/cache@v5
        id: avd-cache
        with:
          key: avd-${{ runner.os }}-${{ matrix.api-level }}-${{ matrix.api-level >= 30 && 'x86_64' || 'x86' }}
          path: |
            ~/.android/avd/*
            ~/.android/adb*
            # Added the actual system image path
            ${{ env.ANDROID_HOME }}/system-images/android-${{ matrix.api-level }}

    [Environment]::SetEnvironmentVariable('PATH', $env:PATH, 'Machine');

# Install MSYS2.
RUN (New-Object Net.WebClient).DownloadFile( \
         'https://repo.msys2.org/distrib/x86_64/msys2-base-x86_64-20240727.tar.xz', \
         'msys2.tar.xz'); \
    Start-Process -FilePath \"C:\Program Files\7-Zip\7z.exe\" -ArgumentList 'x msys2.tar.xz -oC:\TEMP\msys2.tar' -Wait; \

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=windows_x86_ml_actions
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_OUTPUT_DIR=build_output
TFCI_FIND_BIN=C:/tools/msys64/usr/bin/find.exe
TFCI_LIB_SUFFIX="-cpu-windows-x86_64"
# auditwheel is not supported for Windows
TFCI_WHL_AUDIT_ENABLE=0
TFCI_WHL_AUDIT_PLAT=0
# Tests are extremely slow at the moment
TFCI_WHL_BAZEL_TEST_ENABLE=0
TFCI_WHL_SIZE_LIMIT=450M
TFCI_WHL_SIZE_LIMIT_ENABLE=1

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=windows_x86_ml_actions
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_OUTPUT_DIR=build_output
TFCI_FIND_BIN=C:/tools/msys64/usr/bin/find.exe
TFCI_LIB_SUFFIX="-cpu-windows-x86_64"
# auditwheel is not supported for Windows
TFCI_WHL_AUDIT_ENABLE=0
TFCI_WHL_AUDIT_PLAT=0
# Tests are extremely slow at the moment
TFCI_WHL_BAZEL_TEST_ENABLE=0
TFCI_WHL_SIZE_LIMIT=450M
TFCI_WHL_SIZE_LIMIT_ENABLE=1

    val isWindows = OperatingSystem.current().isWindows
    val isLinux = OperatingSystem.current().isLinux
    val isMacOsX = OperatingSystem.current().isMacOsX
    val isIntel: Boolean = architecture == "x86_64" || architecture == "x86"
    val isSlowInternetConnection
        get() = System.getProperty("slow.internet.connection", "false")!!.toBoolean()
    val agentNum: Int
        get() {

common:android_x86 --fat_apk_cpu=x86
common:android_x86 --platforms=@org_tensorflow//tensorflow/tools/toolchains/android:x86
common:android_x86_64 --config=android
common:android_x86_64 --cpu=x86_64
common:android_x86_64 --fat_apk_cpu=x86_64
common:android_x86_64 --platforms=@org_tensorflow//tensorflow/tools/toolchains/android:x86_64

# Build everything statically for Android since all static libs are later

       * crashes on Android when running in 32-bit mode. For maximum safety, we shouldn't use
       * Unsafe.getLong() at all, but the performance benefit on x86_64 is too great to ignore, so
       * as a compromise, we enable the optimization only on platforms that we specifically know to
       * work.
       *

        instead of 2.15, or users could receive an installation error due to
        those missing dependencies.
*   TensorFlow 2.15.0.post1 is being released for Linux x86_64 to resolve this
    issue as quickly as possible.
    *   This version removes the `tensorrt` Python package dependencies from the
        tensorflow[and-cuda] installation method to ensure `pip install