'you want to build with.\nYou can find the compute capability of your '
        'device at: https://developer.nvidia.com/cuda-gpus. Each capability '
        'can be specified as "x.y" or "compute_xy" to include both virtual and'
        ' binary GPU code, or as "sm_xy" to only include the binary '
        'code.\nPlease note that each additional compute capability '

 * We need to look at Maven, and Nexus as use cases and figure out what each of them needs to be
 * able to do
 *
 * - now what is really the difference between this and loading a component in plexus - custom
 * classloading capability - remote resolution of dependencies - do we want a model for sharing
 * information among plugins, is this more like an extension point - do we need a sort of bus for

# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX
# is forward compatible beyond the current compute capability major
# release while SASS is only forward compatible inside the current
# major release. Example: sm_80 kernels can run on sm_89 GPUs but
# not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs.

  EXPECT_EQ(4, product[1]);
  EXPECT_EQ(6, product[2]);
  EXPECT_EQ(8, product[3]);

  // When we turn on grappler, confirm that the tf.Add has been rewritten into a
  // tf.Mul.
  // This capability of checking the executed op names is currently only enabled
  // for TFRT debug build, for performance and simplicity reasons.
  if (use_tfrt) {
    TF_Buffer* buf = TF_NewBuffer();

- GlusterFS PersistentVolumes sources can now reference endpoints in any namespace using the `spec.glusterfs.endpointsNamespace` field. Ensure all kubelets are upgraded to 1.13+ before using this capability. ([#60195](https://github.com/kubernetes/kubernetes/pull/60195), [@humblec](https://github.com/humblec))

* Fix `cstring.h` missing file issue with the Libtensorflow archive.

# Release 2.17.0

## TensorFlow

### Breaking Changes

* GPU
    * Support for NVIDIA GPUs with compute capability 5.x (Maxwell generation) has been removed from TF binary distributions (Python wheels).

### Major Features and Improvements

have been given priority for 1.15.

kubeadm, the cluster lifecycle building block, continues to receive features and stability work required for bootstrapping production clusters efficiently. kubeadm has promoted high availability (HA) capability to beta, allowing users to use the familiar `kubeadm init` and `kubeadm join` commands to [configure and deploy an HA control plane](https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/high-availability/). An entire new test suite...

## Deprecations

This section provides an overview of deprecated API versions, options, flags, and arguments. Deprecated means that we intend to remove the capability from a future release. After removal, the capability will no longer work. The sections are organized by SIGs.

### Apps

- The `.spec.rollbackTo` field of the Deployment kind is deprecated in `extensions/v1beta1`.

## Deprecations

This section provides an overview of deprecated API versions, options, flags, and arguments. Deprecated means that we intend to remove the capability from a future release. After removal, the capability will no longer work. The sections are organized by SIGs.

### **API Machinery**

- Deprecate the `topologyKeys` field in Service. This capability will be replaced with upcoming work around Topology Aware Subsetting and Service Internal Traffic Policy. ([#96736](https://github.com/kubernetes/kubernetes/pull/96736), [@andrewsykim](https://github.com/andrewsykim)) [SIG Apps]