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* `tf.data`:
* The optimization `parallel_batch` now becomes default if not disabled by users, which will parallelize copying of batch elements.
* Added the ability for `TensorSliceDataset` to identify and handle inputs that are files. This enables creating hermetic SavedModels when using datasets created from files.
- * The optimization `parallel_batch` now becomes default if not disabled by users, which will parallelize copying of batch elements.
- * Added the ability for `TensorSliceDataset` to identify and handle inputs that are files. This enables creating hermetic SavedModels when using datasets created from files.
* `tf.lite`:
* Adds GPU Delegation support for serialization to Java API. This boosts initialization time up to 90% when OpenCL is available.