*   Benchmark for tf.scan in graph and eager modes.
    *   Added complex128 support to FFT, FFT2D, FFT3D, IFFT, IFFT2D, and IFFT3D.
    *   Making ids unique in `nn.embedding_lookup_sparse`. This helps to reduce
        RPC calls for looking up the embeddings when there are repeated ids in
        the batch.
    *   Support indicator column in boosted trees.
    *   Prevent `tf.gradients()` from backpropagating through integer tensors.

            To be consistent with the way default URLs are calculated from parent, it is recommended
            to have subproject names match artifact ids.</description>
          <association>
            <type>String</type>
            <multiplicity>*</multiplicity>
          </association>
        </field>
        <field xdoc.separator="blank">

	// 1. Initiate 2 uploads for the same object
	// 2. Upload 2 parts for the second upload
	// 3. Abort the second upload.
	// 4. Abort the first upload.
	// This will test abort upload when there are more than one upload IDs
	// and the case where there is only one upload ID.

	// construct HTTP request to initiate a NewMultipart upload.

- kubelet now accepts `pid=<number>` in the `--system-reserved` and `--kube-reserved` options to ensure that the specified number of process IDs will be reserved for the system as a whole and for Kubernetes system daemons respectively.  Please reference `Kube Reserved` and `System Reserved` in `Reserve Compute Resources for System Daemons` in the Kubernetes documentation for general discussion...

    /** The key of the message: Reading */
    public static final String LABELS_READING = "{labels.reading}";

    /** The key of the message: Role IDs */
    public static final String LABELS_ROLE_TYPE_IDS = "{labels.roleTypeIds}";

    /** The key of the message: Script */
    public static final String LABELS_SCRIPT_DATA = "{labels.scriptData}";

* Add sync state loop in master's volume reconciler ([#34859](https://github.com/kubernetes/kubernetes/pull/34859), [@jingxu97](https://github.com/jingxu97))
* AWS: strong-typing for k8s vs aws volume ids ([#35883](https://github.com/kubernetes/kubernetes/pull/35883), [@justinsb](https://github.com/justinsb))

* make using service account credentials from controllers optional ([#35970](https://github.com/kubernetes/kubernetes/pull/35970), [@deads2k](https://github.com/deads2k))
* AWS: strong-typing for k8s vs aws volume ids ([#35883](https://github.com/kubernetes/kubernetes/pull/35883), [@justinsb](https://github.com/justinsb))

- cloud.google.com/go/gkemulticloud: v0.5.0 → v1.0.0
- cloud.google.com/go/gsuiteaddons: v1.5.0 → v1.6.1
- cloud.google.com/go/iam: v0.13.0 → v1.1.1
- cloud.google.com/go/iap: v1.7.1 → v1.8.1
- cloud.google.com/go/ids: v1.3.0 → v1.4.1
- cloud.google.com/go/iot: v1.6.0 → v1.7.1
- cloud.google.com/go/kms: v1.10.1 → v1.15.0
- cloud.google.com/go/language: v1.9.0 → v1.10.1
- cloud.google.com/go/lifesciences: v0.8.0 → v0.9.1

- cloud.google.com/go/gkehub: v0.14.4
- cloud.google.com/go/gkemulticloud: v1.1.0
- cloud.google.com/go/gsuiteaddons: v1.6.4
- cloud.google.com/go/iam: v1.1.5
- cloud.google.com/go/iap: v1.9.3
- cloud.google.com/go/ids: v1.4.4
- cloud.google.com/go/iot: v1.7.4
- cloud.google.com/go/kms: v1.15.5
- cloud.google.com/go/language: v1.12.2
- cloud.google.com/go/lifesciences: v0.9.4
- cloud.google.com/go/logging: v1.9.0

- Fix: azure file latency issue for metadata-heavy workloads ([#97082](https://github.com/kubernetes/kubernetes/pull/97082), [@andyzhangx](https://github.com/andyzhangx)) [SIG Cloud Provider and Storage]
- Fixed Cinder volume IDs on OpenStack Train ([#96673](https://github.com/kubernetes/kubernetes/pull/96673), [@jsafrane](https://github.com/jsafrane)) [SIG Cloud Provider]