- Fixed a situation when, sometimes, the scheduler incorrectly placed a pod in the `unschedulable` queue instead of the `backoff` queue. This happened when some plugin previously declared the pod as `unschedulable` and then in a later attempt encounters some other error. Scheduling of that pod then got delayed by up to five minutes, after which periodic flushing moved the pod back into the `active`...

rejected via `UnschedulableAndUnresolvable`. Consequently, these nodes are excluded from the candidates for the preemption process. Additionally, this update corrects how the scheduling framework handles the Unschedulable status from PreFilter. Previously, if PreFilter returned `Unschedulable`, it could lead to an unexpected abortion in the preemption process, which shouldn't occur in the default scheduler but might occur in schedulers with custom plugins. ([#119779](https://github.com/kubernetes...

- Improve Node QueueHint in the NodeAffinty plugin by ignoring unrelated changes that keep pods unschedulable. ([#127444](https://github.com/kubernetes/kubernetes/pull/127444), [@dom4ha](https://github.com/dom4ha)) [SIG Scheduling and Testing]

  Previously, when unschedulable Pods are updated, the scheduler always put Pods back to activeQ/backoffQ. But, actually not all updates to Pods make Pods schedulable, especially considering many scheduling constraints nowadays are immutable.

- Sometimes, the scheduler incorrectly placed a pod in the "unschedulable" queue instead of the "backoff" queue. This happened when some plugin previously declared the pod as "unschedulable" and then in a later attempt encounters some other error. Scheduling of that pod then got delayed by up to five minutes, after which periodic flushing moved the pod back into the "active"...

    *   Converts hardswish subgraphs into atomic ops.
*   Add support for defaulting the value of `cycle_length` argument of
    `tf.data.Dataset.interleave` to the number of schedulable CPU cores.
*   `parallel_for`: Add converter for `MatrixDiag`.
*   Add `narrow_range` attribute to `QuantizeAndDequantizeV2` and V3.
*   Added new op: `tf.strings.unsorted_segment_join`.