source ci/official/envs/linux_x86
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_cpu_linux --config=tpu"
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_tpu
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_tpu"
TFCI_LIB_SUFFIX="-tpu-linux-x86_64"
TFCI_WHL_BAZEL_TEST_ENABLE=0
TFCI_WHL_IMPORT_TEST_ENABLE=0
TFCI_WHL_SIZE_LIMIT=580M

        if: steps.avd-cache.outputs.cache-hit != 'true'
        uses: reactivecircus/android-emulator-runner@v2
        with:
          api-level: ${{ matrix.api-level }}
          arch: ${{ matrix.api-level == '34' && 'x86_64' || 'x86' }}
          force-avd-creation: false
          emulator-options: -no-window -gpu swiftshader_indirect -noaudio -no-boot-anim -camera-back none
          disable-animations: false

build:android_arm64 --config=android
build:android_arm64 --cpu=arm64-v8a
build:android_arm64 --fat_apk_cpu=arm64-v8a
build:android_x86 --config=android
build:android_x86 --cpu=x86
build:android_x86 --fat_apk_cpu=x86
build:android_x86_64 --config=android
build:android_x86_64 --cpu=x86_64
build:android_x86_64 --fat_apk_cpu=x86_64

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

    visibility = ["//visibility:public"],
)

# Sometimes Bazel reports darwin_x86_64 as "darwin" and sometimes as
# "darwin_x86_64". The former shows up when building on a Mac x86_64 host for a Mac x86_64 target.
# The latter shows up when cross-compiling for Mac x86_64 from a Mac ARM machine and in internal
# Google builds.
config_setting(
    name = "macos_x86_64_default",
    constraint_values = if_google(

  packages:
    - ca-certificates-bundle
    - wolfi-baselayout
    - glibc
    - iptables
    - ip6tables
    - libnetfilter_conntrack
    - libnfnetlink
    - libmnl
    - libgcc
archs:
  - x86_64
  - aarch64
paths:
- path: /run
  type: directory
  permissions: 0o755
accounts:
  users:
    - username: nonroot
      uid: 65532
    - username: nobody
      uid: 65534
  run-as: 65532

   * href="https://github.com/aappleby/smhasher/blob/master/src/MurmurHash3.cpp">32-bit murmur3
   * algorithm, x86 variant</a> (little-endian variant), using the given seed value, <b>with a known
   * bug</b> as described in the deprecation text.
   *
   * <p>The C++ equivalent is the MurmurHash3_x86_32 function (Murmur3A), which however does not
   * have the bug.
   *

# On Linux, we can copy files faster using `sendfile`. But not elsewhere.
# Hence, this private library to select which implementation to use.
cc_library(
    name = "copy_file",
    srcs = select({
        "//tensorflow:linux_x86_64": ["copy_file_linux.cc"],
        "//conditions:default": ["copy_file_portable.cc"],
    }),
    hdrs = ["copy_file.h"],

		return 0
	}
	if limit == cgroupMemNoLimit {
		// No limit set, It's the highest positive signed 64-bit
		// integer (2^63-1), rounded down to multiples of 4096 (2^12),
		// the most common page size on x86 systems - for cgroup_limits.
		return 0
	}
	return limit
}

func availableMemory() (available uint64) {
	available = 2048 * blockSizeV2 * 2 // Default to 4 GiB when we can't find the limits.

REPO_ROOT="$(dirname "$(dirname "${SCRIPT_DIR}")")"

LOCAL_ARCH=$(uname -m)

# Pass environment set target architecture to build system
if [[ ${TARGET_ARCH} ]]; then
    # Target explicitly set
    :
elif [[ ${LOCAL_ARCH} == x86_64 ]]; then
    TARGET_ARCH=amd64
elif [[ ${LOCAL_ARCH} == armv8* ]]; then
    TARGET_ARCH=arm64
elif [[ ${LOCAL_ARCH} == arm64* ]]; then
    TARGET_ARCH=arm64
elif [[ ${LOCAL_ARCH} == aarch64* ]]; then

    public T get() {
      // Another variant of Double Checked Locking.
      //
      // We use two volatile reads. We could reduce this to one by
      // putting our fields into a holder class, but (at least on x86)
      // the extra memory consumption and indirection are more
      // expensive than the extra volatile reads.
      long nanos = expirationNanos;
      long now = System.nanoTime();