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authorGravatar Amit Patankar <amitpatankar@google.com>2018-08-08 15:47:51 -0700
committerGravatar Amit Patankar <amitpatankar@google.com>2018-08-08 15:47:51 -0700
commit0c4cf5b0ddfdf1bf4c08cfbfa40005d55ec94c6f (patch)
treef7c6bf403bbad36a9c8bed0efd6675c42eaa1d8b /RELEASE.md
parenta1915c5f008cd7e6f01d563f83b36de783a76a0a (diff)
Cherrypick r1.10 back to master.
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* `tf.data`:
* `tf.contrib.data.group_by_reducer()` is now available via the public API.
* `tf.contrib.data.choose_from_datasets()` is now available via the public API.
- * Adding `drop_remainder` argument to `tf.data.Dataset.batch()` and `tf.data.Dataset.padded_batch()`, deprecating tf.contrib.data.batch_and_drop_remainder()` and `tf.contrib.data.padded_batch_and_drop_remainder()`.
+ * Adding `drop_remainder` argument to `tf.data.Dataset.batch()` and `tf.data.Dataset.padded_batch()`, deprecating `tf.contrib.data.batch_and_drop_remainder()` and `tf.contrib.data.padded_batch_and_drop_remainder()`.
* `tf.estimator`:
* `Estimator`s now use custom savers included in `EstimatorSpec` scaffolds for saving SavedModels during export.
* `EstimatorSpec` will now add a default prediction output for export if no `export_output` is provided, eliminating the need to explicitly include a `PredictOutput` object in the `model_fn` for simple use-cases.