TensorFlow 1.8.0-rc0 发布,此版本包括很多性能改进和bug修复。主要特性和改进包括:
tf.contrib.distribute.MirroredStrategy()
?to?tf.estimator.RunConfig()
?to run an Estimator model on multiple GPUs on one machine.tf.contrib.data.prefetch_to_device()
, which supports prefetching to GPU memory.tf.contrib.bayesflow
?is moving out to it's own repo.tf.contrib.{proto,rpc}
?to allow generic proto parsing and RPC communication.tf.data
:tf.contrib.data.prefetch_to_device
, which enables prefetching dataset elements to GPU memory.tf.contrib.data.AUTOTUNE
, which allows the tf.data runtime to automatically tune the prefetch buffer sizes based on your system and environment.tf.contrib.data.make_csv_dataset
?for building datasets of CSV files.for batch in dataset:
). Both?Dataset.__iter__()
?and?Dataset.make_one_shot_iterator()
?can now be used to create iterators when eager execution is enabled.with tf.device(“/gpu:0”)
) (Fixes?#14133)tf.GradientTape
?has moved out of contrib.完整内容请查看发布主页。
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