*   **aarch64 CPUs:** Experimental performance optimizations from
        [Compute Library for the Arm® Architecture (ACL)](https://github.com/ARM-software/ComputeLibrary)
        are available through oneDNN in the default Linux aarch64 package (`pip
        install tensorflow`).
        *   The optimizations are disabled by default.

        Funnel<? super T> funnel,
        int numHashFunctions,
        LockFreeBitArray bits) {
      long bitSize = bits.bitSize();
      long hash64 = murmur3_128().hashObject(object, funnel).asLong();
      int hash1 = (int) hash64;
      int hash2 = (int) (hash64 >>> 32);

      boolean bitsChanged = false;
      for (int i = 1; i <= numHashFunctions; i++) {
        int combinedHash = hash1 + (i * hash2);

# force all tests to run locally on the Aarch64 host.
test:rbe_cross_compile_base --strategy=TestRunner=local --build_tests_only
test:rbe_cross_compile_base --verbose_failures=true --local_test_jobs=HOST_CPUS --test_output=errors

# START LINUX AARCH64 CROSS-COMPILE CONFIGS
common:cross_compile_linux_arm64 --config=cross_compile_base

# Set the target CPU to Aarch64

object AdHocPerformanceScenarioMacOS : AdHocPerformanceScenario(Os.MACOS, Arch.AMD64)