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# Release 1.4.0
## Major Features And Improvements
+* `tf.data` is now part of the core TensorFlow API.
+ * The API is now subject to backwards compatibility guarantees.
+ * For a guide to migrating from the `tf.contrib.data` API, see the
+ [README] (https://github.com/tensorflow/tensorflow/blob/r1.4/tensorflow/contrib/data/README.md).
+ * Major new features include `Dataset.from_generator()` (for building an input
+ pipeline from a Python generator), and the `Dataset.apply()` method for
+ applying custom transformation functions.
+ * Several custom transformation functions have been added, including
+ `tf.contrib.data.batch_and_drop_remainder()` and
+ `tf.contrib.data.sloppy_interleave()`.
* Java:
* Generics (e.g., `Tensor<Integer>`) for improved type-safety (courtesy @andrewcmyers).
* Support for multi-dimensional string tensors.
@@ -16,6 +26,11 @@
flexible and reproducible package, is available via the new
`tf.contrib.data.Dataset.from_generator` method!
+## Breaking Changes to the API
+* The signature of the `tf.contrib.data.rejection_resample()` function has been
+ changed. It now returns a function that can be used as an argument to
+ `Dataset.apply()`.
+
# Release 1.3.0
See also [TensorBoard 0.1.4](https://github.com/tensorflow/tensorboard/releases/tag/0.1.4) release notes.