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.
软件详情：https://digg.com/tensorflow/tensorflow/releases/tag/v1.7.0-rc1
下载地址：http://git.oschina.net/mirrors/tensorflow
来自:开源中国社区
