scaling with distribution strategy and custom training loops. `AUTO`
        indicates that the reduction option will be determined by the usage
        context. For almost all cases this defaults to `SUM_OVER_BATCH_SIZE`.
        When used in distribution strategy scope, outside of built-in training
        loops such as `tf.keras` `compile` and `fit`, we expect reduction value

- Fixed an issue that could cause the kubelet to incorrectly run concurrent pod reconciliation loops and crash. ([#89055](https://github.com/kubernetes/kubernetes/pull/89055), [@tedyu](https://github.com/tedyu)) [SIG Node]

did before in the form of a dense Body. Which vast Contraction and
Expansion seems unintelligible, by feigning the Particles of Air to be
springy and ramous, or rolled up like Hoops, or by any other means than
a repulsive Power. The Particles of Fluids which do not cohere too
strongly, and are of such a Smallness as renders them most susceptible