What's new in TensorFlow 2.19

March 13, 2025 — Posted by the TensorFlow teamTensorFlow 2.19 has been released! Highlights of this release include changes to the C++ API in LiteRT, bfloat16 support for tflite casting, discontinue of releasing libtensorflow packages. Learn more by reading the full release notes.Note: Release updates on the new multi-backend Keras will be published on keras.io, starting with Keras 3.0. For more information, plea…

TensorFlow 2.19 has been released! Highlights of this release include changes to the C++ API in LiteRT, bfloat16 support for tflite casting, discontinue of releasing libtensorflow packages. Learn more by reading the full release notes.

Note: Release updates on the new multi-backend Keras will be published on keras.io, starting with Keras 3.0. For more information, please see https://keras.io/keras_3/.

The public constants tflite::Interpreter:kTensorsReservedCapacity

and tflite::Interpreter:kTensorsCapacityHeadroom

are now const references, rather than constexpr compile-time constants. (This is to enable better API compatibility for TFLite in Play services while preserving the implementation flexibility to change the values of these constants in the future.)

tfl.Cast op is now supporting bfloat16 in the runtime kernel. tf.lite.Interpreter

gives a deprecation warning redirecting to its new location at ai_edge_litert.interpreter

, as the API tf.lite.Interpreter

will be deleted in TF 2.20. See the migration guide for details.

We have stopped publishing libtensorflow packages but it can still be unpacked from the PyPI package.

March 13, 2025 — Posted by the TensorFlow teamTensorFlow 2.19 has been released! Highlights of this release include changes to the C++ API in LiteRT, bfloat16 support for tflite casting, discontinue of releasing libtensorflow packages. Learn more by reading the full release notes.Note: Release updates on the new multi-backend Keras will be published on keras.io, starting with Keras 3.0. For more information, plea…