TensorFlow 1.7.0-rc1 发布，带来多项优化和改进

内容简介：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 L...

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。

【声明】文章转载自：开源中国社区 [http://www.oschina.net]

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