TensorFlow.

*   `tf.experimental.dtensor`: Added DTensor, an extension to TensorFlow for
    large-scale modeling with minimal changes to user code. You are welcome to
    try it out, though be aware that the DTensor API is experimental and up-to
    backward-incompatible changes. DTensor and Keras integration is published
    under `tf.keras.dtensor` in this release (refer to the `tf.keras` entry).

- Fixes a problem with 63-second or 1-second connection delays with some VXLAN-based
  network plugins which was first widely noticed in 1.16 (though some users saw it
  earlier than that, possibly only with specific network plugins). If you were previously
  using ethtool to disable checksum offload on your primary network interface, you should

- Fixes a problem with 63-second or 1-second connection delays with some VXLAN-based
  network plugins which was first widely noticed in 1.16 (though some users saw it
  earlier than that, possibly only with specific network plugins). If you were previously
  using ethtool to disable checksum offload on your primary network interface, you should

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  Until then we'll register UpdateNodeTaint event for plugins that have NodeAdded event, but don't have UpdateNodeTaint event.
  It'd result in a bad impact on the requeuing efficiency though, a lot better than some Pods being stuck in the
  unschedulable pod pool. ([#122292](https://github.com/kubernetes/kubernetes/pull/122292), [@sanposhiho](https://github.com/sanposhiho)) [SIG Node, Scheduling, Storage and Testing]