The TensorFlow Blog 09月12日
TensorFlow 2.19版本发布:API更新与功能调整
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本文介绍了TensorFlow 2.19版本的核心更新,包括C++ API更改、bfloat16支持、TF-Lite API调整和libtensorflow包发布停止等内容。

Posted by the TensorFlow team

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/.

TensorFlow Core

LiteRT

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.)

TF-Lite

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.

Libtensorflow

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

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TensorFlow API更新 bfloat16支持 libtensorflow
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