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Add PluggableDevice, oneDNN, and ACL changes to the release note.

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PiperOrigin-RevId: 365131281
Change-Id: I3ad4b4d9d1718254b379b0aeb737d549badf0951
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Penporn Koanantakool 2021-03-25 14:56:59 -07:00 committed by TensorFlower Gardener
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RELEASE.md
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@ -59,6 +59,23 @@
* `tf.distribute`
* `tf.distribute.experimental.ParameterServerStrategy` now supports
training with Keras `Model.fit` when used with `DatasetCreator`.
* PluggableDevice
* Third-party devices can now connect to TensorFlow
[modularly](https://github.com/tensorflow/community/blob/master/rfcs/20190305-modular-tensorflow.md)
through [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md).
and [PluggableDevice](https://github.com/tensorflow/community/blob/master/rfcs/20200624-pluggable-device-for-tensorflow.md) interface.
* Add custom ops and kernels through
[kernel and op registration C API](https://github.com/tensorflow/community/blob/master/rfcs/20190814-kernel-and-op-registration.md).
* Register custom graph optimization passes with
[graph optimization C API](https://github.com/tensorflow/community/blob/master/rfcs/20201027-modular-tensorflow-graph-c-api.md).
* [oneAPI Deep Neural Network Library (oneDNN)](https://github.com/oneapi-src/oneDNN)
CPU performance optimizations from
[Intel-optimized TensorFlow](https://software.intel.com/content/www/us/en/develop/articles/intel-optimization-for-tensorflow-installation-guide.html)
are now available in the official x86-64 Linux and Windows builds.
* They are off by default. Enable them by setting the environment variable
`TF_ENABLE_ONEDNN_OPTS=1`.
* We do not recommend using them in GPU systems, as they have not been
sufficiently tested with GPUs yet.
## Bug Fixes and Other Changes
@ -208,6 +225,8 @@
* Other
* Adding show_debug_info to mlir.convert_graph_def and
mlir.convert_function.
* Added [Arm Compute Library (ACL)](https://github.com/ARM-software/ComputeLibrary)
support to `--config=mkl_aarch64` build.
## Thanks to our Contributors