### Other (Cleanup or Flake)

- A v2-level info log will be added, which will output the details of the pod being preempted, including victim and preemptor ([#117214](https://github.com/kubernetes/kubernetes/pull/117214), [@HirazawaUi](https://github.com/HirazawaUi)) [SIG Scheduling]

## Dependencies

### Added

- In the API Priority and Fairness feature, priority levels that are exempt from limitation can now be given a nominal and a lendable concurrency and their dispatching borrows from the concurrency limits of the other priority levels.  For details see https://github.com/kubernetes/enhancements/tree/master/keps/sig-api-machinery/1040-priority-and-fairness#dispatching . ([#118782](https://github.com/kubernetes/kubernetes/pull/118782), [@MikeSpreitzer](https://github.com/MikeSpreitzer)) [SIG API...

### (No, really, you MUST read this before you upgrade)

 - CVE-2020-8559 (Medium): Privilege escalation from compromised node to cluster. See https://github.com/kubernetes/kubernetes/issues/92914 for more details.

- Changed `kubectl help` to display basic details for subcommands from plugins. ([#116752](https://github.com/kubernetes/kubernetes/pull/116752), [@xvzf](https://github.com/xvzf))

		}
	}
	return allErrs
}

// Validate compute resource typename.
// Refer to docs/design/resources.md for more details.
func validateResourceName(value core.ResourceName, fldPath *field.Path) field.ErrorList {
	allErrs := field.ErrorList{}
	for _, msg := range validation.IsQualifiedName(string(value)) {

If you find evidence that this vulnerability has been exploited, please contact ******@****.***

**Additional Details**:

See the GitHub issue for more details: https://github.com/kubernetes/kubernetes/issues/112192 

**Acknowledgements**:

This vulnerability was reported and fixed by Mark Rosetti (@marosset)

// convolution produces the gradient. Higher dimensions, different padding, and
// different windows/strides work in a similar way, the main difference is in
// the computation of the paddings in step 2.
//
// For more details on backpropagation for convolution of which `AvgPoolGrad`
// is a special case see `tensorflow/core/kernels/conv_grad_ops.h`.
// `tensorflow/compiler/mlir/xla/tests/legalize-tf.mlir` has more
// examples for different cases.

- Kubeadm: when using a custom image repository...

- metrics-server remains unchanged at v0.3.1 since Kubernetes 1.12 ([#68746](https://github.com/kubernetes/kubernetes/pull/68746))
- GLBC remains unchanged at v1.2.3 since Kubernetes 1.12 ([#66793](https://github.com/kubernetes/kubernetes/pull/66793))
- Ingress-gce remains unchanged at v1.2.3 since Kubernetes 1.12 ([#66793](https://github.com/kubernetes/kubernetes/pull/66793))

  %t5 = "tfl.logical_and"(%arg1, %cst_true3): (tensor<2x3xi1>, tensor<2x1xi1>) -> tensor<2x3xi1>  // match
  // Mixed constant => tfl.logical_and remains
  %m0 = "tfl.logical_and"(%arg0, %cst_mixed): (tensor<1xi1>, tensor<2x3xi1>) -> tensor<2x3xi1>    // no match
  %m1 = "tfl.logical_and"(%arg1, %cst_mixed): (tensor<2x3xi1>, tensor<2x3xi1>) -> tensor<2x3xi1>  // no match