TensorFlow 1.7.0 RC1 发布了。 主要的特性和改变 Eager mode is moving out of contrib, try tf.enable_eager_execution(). Graph rewrites emulating fixed-point quantization compatible with TensorFlow Lite, supported by new tf.contrib.quantize package. Easily customize gradient computation with tf.custom_gradient. TensorBoard Debugger Plugin, the graphical user interface (GUI) of TensorFlow Debugger (tfdbg), is now in alpha. Experimental support for reading a sqlite database as a Dataset with new tf.contrib.data.SqlDataset. Distributed Mutex / CriticalSection added to tf.contrib.framework.CriticalSection. Better text processing with tf.regex_replace. Easy, efficient sequence input with tf.contrib.data.bucket_by_sequence_length Bug Fixes and Other Changes Accelerated Linear Algebra (XLA): Add MaxPoolGradGrad support for XLA CSE pass from Tensorflow is now disabled in XLA. 完整内容可查看发布主页。 TensorFlow 1.7.0-rc1 发布，带来多项优化和改进下载地址
