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RELEASE.md
transition canned Estimators that are warm started from `tf.train.Optimizers` to `tf.keras.optimizers`. * Losses are scaled in canned estimator v2 and not in the optimizers anymore. If you are using Estimator + distribution strategy + optimikzer v1 then the behavior does not change. This implies that if you are using custom estimator with optimizer v2, you have to scale losses. We have
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CHANGELOG/CHANGELOG-1.19.md
- Cloud provider config CloudProviderBackoffMode has been removed since it won't be used anymore. ([#88463](https://github.com/kubernetes/kubernetes/pull/88463), [@feiskyer](https://github.com/feiskyer)) [SIG Cloud Provider]
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