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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.quantizepackage. - 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
Datasetwith newtf.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
MaxPoolGradGradsupport for XLA - CSE pass from Tensorflow is now disabled in XLA.
- Add
完整内容可查看 发布主页 。
转自 http://ift.tt/2pvnhgK
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