Since models are practically programs that TensorFlow executes, using untrusted
models or graphs is equivalent to running untrusted code.

If you need to run untrusted models, execute them inside a
[**sandbox**](https://developers.google.com/code-sandboxing). Memory corruptions
in TensorFlow ops can be recognized as security issues only if they are
reachable and exploitable through production-grade, benign models.

### Compilation

   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.

// K8sArgs is the valid CNI_ARGS used for Kubernetes
// The field names need to match exact keys in containerd args for unmarshalling
// https://github.com/containerd/containerd/blob/ced9b18c231a28990617bc0a4b8ce2e81ee2ffa1/pkg/cri/server/sandbox_run.go#L526-L532
type K8sArgs struct {
	types.CommonArgs
	K8S_POD_NAME               types.UnmarshallableString // nolint: revive, stylecheck
	K8S_POD_NAMESPACE          types.UnmarshallableString // nolint: revive, stylecheck

        "search": ["testSearch"],
        "options": ["testOption"]
    },
    "prevResult": {
        "cniversion": "%s",
        "interfaces": [
            {
                "name": "%s",
                "sandbox": "%s"
            }
        ],
        "ips": [
            {
                "version": "4",
                "address": "10.0.0.2/24",
                "gateway": "10.0.0.1",
                "interface": 0

   * Supports-Loading-Mode}</a> header field name. This can be used to specify, for example, <a
   * href="https://developer.chrome.com/docs/privacy-sandbox/fenced-frame/#server-opt-in">fenced
   * frames</a>.
   *
   * @since 32.0.0
   */
  public static final String SUPPORTS_LOADING_MODE = "Supports-Loading-Mode";

  /**

- `kubeadm`: now shows a warning message when detecting that the sandbox image of the container runtime is inconsistent with that used by kubeadm ([#115610](https://github.com/kubernetes/kubernetes/pull/115610), [@SataQiu](https://github.com/SataQiu))

    * The `kube-cloud-controller-manager` flag `--use-service-account-credentials` is now honored consistently, regardless of whether `--service-account-private-key-file` was specified.
* Fix credentials providers for docker sandbox image. ([#51870](https://github.com/kubernetes/kubernetes/pull/51870), [@feiskyer](https://github.com/feiskyer))

 * {@code notifyAll()} must be used instead of {@code notify()} because there are two different
 * logical conditions being awaited.
 *
 * <pre>{@code
 * public class SafeBox<V> {
 *   private V value;
 *
 *   public synchronized V get() throws InterruptedException {
 *     while (value == null) {
 *       wait();
 *     }
 *     V result = value;
 *     value = null;

    and
    [`tf.keras.layers.CuDNNLSTM`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/keras/layers/CuDNNLSTM)
    layers.
    [Try it](https://colab.sandbox.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/nmt_with_attention/nmt_with_attention.ipynb?linkId=53292082).
*   Adding support of core

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