default:
		return 0, errors.New("invalid arrangement in ARM64 register list")
	}
	return (int64(curQ) & 1 << 30) | (int64(curSize&3) << 10), nil
}

// ARM64RegisterListOffset generates offset encoding according to AArch64 specification.
func ARM64RegisterListOffset(firstReg, regCnt int, arrangement int64) (int64, error) {
	offset := int64(firstReg)
	switch regCnt {
	case 1:
		offset |= 0x7 << 12
	case 2:
		offset |= 0xa << 12

)

config_setting(
    name = "linux_aarch64",
    constraint_values = if_google(
        ["//third_party/bazel_platforms/os:linux"],
        [],
    ),
    values = {"cpu": "aarch64"},
    visibility = ["//visibility:public"],
)

config_setting(
    name = "linux_armhf",
    constraint_values = if_google(
        ["//third_party/bazel_platforms/os:linux"],
        [],
    ),

    *   **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.

pkg debug/elf, const R_AARCH64_ADR_PREL_LO21 = 274
pkg debug/elf, const R_AARCH64_ADR_PREL_LO21 R_AARCH64
pkg debug/elf, const R_AARCH64_ADR_PREL_PG_HI21 = 275
pkg debug/elf, const R_AARCH64_ADR_PREL_PG_HI21 R_AARCH64
pkg debug/elf, const R_AARCH64_ADR_PREL_PG_HI21_NC = 276
pkg debug/elf, const R_AARCH64_ADR_PREL_PG_HI21_NC R_AARCH64
pkg debug/elf, const R_AARCH64_CALL26 = 283
pkg debug/elf, const R_AARCH64_CALL26 R_AARCH64

pkg debug/elf, const R_AARCH64_LD64_GOTOFF_LO15 R_AARCH64
pkg debug/elf, const R_AARCH64_LD64_GOTPAGE_LO15 = 313
pkg debug/elf, const R_AARCH64_LD64_GOTPAGE_LO15 R_AARCH64
pkg debug/elf, const R_AARCH64_TLSGD_ADR_PREL21 = 512
pkg debug/elf, const R_AARCH64_TLSGD_ADR_PREL21 R_AARCH64
pkg debug/elf, const R_AARCH64_TLSGD_MOVW_G0_NC = 516
pkg debug/elf, const R_AARCH64_TLSGD_MOVW_G0_NC R_AARCH64
pkg debug/elf, const R_AARCH64_TLSGD_MOVW_G1 = 515

    rm -rf /tf/venv
}

@test "Wheel is manylinux2014 (manylinux_2_17) compliant" {
    python3 -m auditwheel show "$TF_WHEEL" > audit.txt
    grep --quiet -zoP 'is consistent with the following platform tag:\n"manylinux_2_17_(aarch|x86_)64"\.' audit.txt
}

@test "Wheel conforms to upstream size limitations" {
    WHEEL_MEGABYTES=$(stat --format %s "$TF_WHEEL" | awk '{print int($1/(1024*1024))}')
    # Googlers: search for "test_tf_whl_size"

* Fixes validation of VolumeAttachment API objects created with inline volume sources. ([#80945](https://github.com/kubernetes/kubernetes/pull/80945), [@tedyu](https://github.com/tedyu))
* Fix kubelet errors in AArch64 with huge page sizes smaller than 1MiB ([#78495](https://github.com/kubernetes/kubernetes/pull/78495), [@odinuge](https://github.com/odinuge))

* Use arm32v7|arm64v8 images instead of the deprecated armhf|aarch64 image organizations ([#50602](https://github.com/kubernetes/kubernetes/pull/50602), [@dixudx](https://github.com/dixudx))

* Use arm32v7|arm64v8 images instead of the deprecated armhf|aarch64 image organizations ([#50602](https://github.com/kubernetes/kubernetes/pull/50602), [@dixudx](https://github.com/dixudx))

    * PodOverhead is an alpha feature as of Kubernetes 1.16.
* Fix kubelet errors in AArch64 with huge page sizes smaller than 1MiB ([#78495](https://github.com/kubernetes/kubernetes/pull/78495), [@odinuge](https://github.com/odinuge))