What's new in TensorFlow 2.20
TensorFlow 2.20 deprecates tf.lite for LiteRT, enhances input pipeline warm-up speed, and makes installation of tensorflow-io-gcs-filesystem optional.
9 stories
TensorFlow 2.20 deprecates tf.lite for LiteRT, enhances input pipeline warm-up speed, and makes installation of tensorflow-io-gcs-filesystem optional.
TensorFlow 2.19 has been released, including changes to the C++ API in LiteRT, the discontinuation of releasing libtensorflow packages, and more.
TensorFlow 2.18 is available now, with NumPy 2.0 support, LiteRT repository, CUDA updates, Hermetic CUDA for improved build reproducibility, and more.
TensorFlow 2.17 features CUDA updates for improved performance on Ada-Generation GPUs and upcoming support for Numpy 2.0. in TensorFlow 2.18.
TensorFlow 2.16 has been released. Highlights include Clang as default compiler for building TensorFlow CPU wheels on Windows, and more.
We are releasing a hot-fix for an installation issue affecting the TensorFlow installation process.
TensorFlow 2.15 has been released! Highlights include a much simpler installation method for NVIDIA CUDA libraries for Linux and more.
TensorFlow gains experimental support for Distributed FFT via DTensor.
TensorFlow 2.13 has been released! We're highlighting the new Keras V3 format as default for .keras extension files and much more!
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