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 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
MaxPoolGradGrad
support for XLACSE pass from Tensorflow is now disabled in XLA.
完整内容可查看发布主页。
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