params(name)
            params("${providedBy.size + 1}")
        }
    }

    /**
     * For all modules providing a capability, always use the preferred module, even if there's no conflict.
     * In other words, will forcefully upgrade all modules providing a capability to a selected module.
     *
     * @param to the preferred module
     */
    private

        '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 '

Each GKE cluster's will have many categories of logs collected by Stackdriver.  Logs can be monitored via
the project's [log viewer](https://cloud.google.com/logging/docs/view/overview) and/or the `gcloud logging read`
capability.

The following example grabs the last 10 `kubelet` logs containing the string "cmdAdd" in the log message.

```console

 * 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.

* 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

- [ ] Ambient
- [ ] Configuration Infrastructure
- [ ] Docs
- [ ] Dual Stack
- [ ] Installation
- [ ] Networking
- [ ] Performance and Scalability
- [ ] Extensions and Telemetry
- [ ] Security
- [ ] Test and Release
- [ ] User Experience
- [ ] Developer Infrastructure
- [ ] Upgrade
- [ ] Multi Cluster
- [ ] Virtual Machine
- [ ] Control Plane Revisions

- **Isolation**: Tests should be isolated to prevent interference between different components and test cases.
- **Scalability**: The test setup should be scalable to accommodate additional tests and components in the future.

## Conclusion

- Reduce critical section in watchcache to fix kube-apiserver scalability under heavy load of list requests ([#122027](https://github.com/kubernetes/kubernetes/pull/122027), [@wojtek-t](https://github.com/wojtek-t)) [SIG API Machinery]

## Dependencies

### Added
_Nothing has changed._

- CephRBD volume plugin ( `kubernetes.io/rbd`) was removed in this release. And its csi migration support was also removed, so the `rbd` volume type became non-functional. Alternative is to use RBD CSI driver (https:/...