TensorFlow 1.7.0-rc1 发布，带来多项优化和改进

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。

转自 https://www.oschina.net/news/94447/tensorflow-1-7-0-rc1-released