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.
       *

export MINIO_ROOT_PASSWORD="minio123"

# Download AWS CLI
echo -n "Download and install AWS CLI"
rm -rf /usr/local/aws-cli || sudo rm -rf /usr/local/aws-cli
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip -qq awscliv2.zip
./aws/install || sudo ./aws/install
echo "done"

# Add credentials to ~/.aws/credentials
if ! [ -d ~/.aws ]; then
	mkdir -p ~/.aws
fi
cat >~/.aws/credentials <<EOF

	}{
		{
			getListObjectsV2URL(s.endPoint, bucketName, "pfx/a/", "2", "", "", "/"),
			[]string{
				"<Contents><Key>pfx/a/1.txt</Key>",
			},
			"Hadoop 3.3.2, aws-sdk-java/1.12.262 Linux/5.14.0-362.24.1.el9_3.x86_64 OpenJDK_64-Bit_Server_VM/11.0.22+7 java/11.0.22 scala/2.12.15 vendor/Eclipse_Adoptium cfg/retry-mode/legacy",
		},
		{
			getListObjectsV2URL(s.endPoint, bucketName, "pfx/a/", "2", "", "", "/"),
			[]string{

_DEFAULT_PROMPT_ASK_ATTEMPTS = 10

_TF_BAZELRC_FILENAME = '.tf_configure.bazelrc'
_TF_WORKSPACE_ROOT = ''
_TF_BAZELRC = ''
_TF_CURRENT_BAZEL_VERSION = None

NCCL_LIB_PATHS = [
    'lib64/', 'lib/powerpc64le-linux-gnu/', 'lib/x86_64-linux-gnu/', ''
]

# List of files to configure when building Bazel on Apple platforms.
APPLE_BAZEL_FILES = [
    'tensorflow/lite/ios/BUILD', 'tensorflow/lite/objc/BUILD',
    'tensorflow/lite/swift/BUILD',

* Do not daemonize `salt-minion` for the openstack-heat provider. ([#40722](https://github.com/kubernetes/kubernetes/pull/40722), [@micmro](https://github.com/micmro))
* OpenStack-Heat will now look for an image named "CentOS-7-x86_64-GenericCloud-1604". To restore the previous behavior set OPENSTACK_IMAGE_NAME="CentOS7" ([#40368](https://github.com/kubernetes/kubernetes/pull/40368), [@sc68cal](https://github.com/sc68cal))

    X850,
    X851,
    X852,
    X853,
    X854,
    X855,
    X856,
    X857,
    X858,
    X859,
    X860,
    X861,
    X862,
    X863,
    X864,
    X865,
    X866,
    X867,
    X868,
    X869,
    X870,
    X871,
    X872,
    X873,
    X874,
    X875,
    X876,
    X877,
    X878,
    X879,
    X880,

pkg debug/elf, const R_X86_64_GOTPCREL64 = 28
pkg debug/elf, const R_X86_64_GOTPCREL64 R_X86_64
pkg debug/elf, const R_X86_64_GOTPCRELX = 41
pkg debug/elf, const R_X86_64_GOTPCRELX R_X86_64
pkg debug/elf, const R_X86_64_GOTPLT64 = 30
pkg debug/elf, const R_X86_64_GOTPLT64 R_X86_64
pkg debug/elf, const R_X86_64_IRELATIVE = 37
pkg debug/elf, const R_X86_64_IRELATIVE R_X86_64
pkg debug/elf, const R_X86_64_PC32_BND = 39

    X850,
    X851,
    X852,
    X853,
    X854,
    X855,
    X856,
    X857,
    X858,
    X859,
    X860,
    X861,
    X862,
    X863,
    X864,
    X865,
    X866,
    X867,
    X868,
    X869,
    X870,
    X871,
    X872,
    X873,
    X874,
    X875,
    X876,
    X877,
    X878,
    X879,
    X880,

        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