Release 1.7.0
Major Features And Improvements
- 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.
tf.data:
tf.data.Dataset
- Add support for building C++ Dataset op kernels as external libraries, using the
tf.load_op_library() mechanism.
Dataset.list_files() now shuffles its output by default.
Dataset.shuffle(..., seed=tf.constant(0, dtype=tf.int64)) now yields the same sequence of elements as Dataset.shuffle(..., seed=0).
- Add
num_parallel_reads argument to tf.data.TFRecordDataset.
tf.contrib:
tf.contrib.bayesflow.halton_sequence now supports randomization.
- Add support for scalars in
tf.contrib.all_reduce.
- Add
effective_sample_size to tf.contrib.bayesflow.mcmc_diagnostics.
- Add
potential_scale_reduction to tf.contrib.bayesflow.mcmc_diagnostics.
- Add
BatchNormalization, Kumaraswamy bijectors.
- Deprecate
tf.contrib.learn. Please check contrib/learn/README.md for instructions on how to convert existing code.
tf.contrib.data
- Remove deprecated
tf.contrib.data.Dataset, tf.contrib.data.Iterator, tf.contrib.data.FixedLengthRecordDataset, tf.contrib.data.TextLineDataset, and tf.contrib.data.TFRecordDataset classes.
- Added
bucket_by_sequence_length, sliding_window_batch, and make_batched_features_dataset
- Remove unmaintained
tf.contrib.ndlstm. You can find it externally at https://github.com/tmbarchive/tfndlstm.
- Moved most of
tf.contrib.bayesflow to its own repo: tfp
- Other:
- tf.py_func now reports the full stack trace if an exception occurs.
- Integrate
TPUClusterResolver with GKE's integration for Cloud TPUs.
- Add a library for statistical testing of samplers.
- Add Helpers to stream data from the GCE VM to a Cloud TPU.
- Integrate ClusterResolvers with TPUEstimator.
- Unify metropolis_hastings interface with HMC kernel.
- Move LIBXSMM convolutions to a separate --define flag so that they are disabled by default.
- Fix
MomentumOptimizer lambda.
- Reduce
tfp.layers boilerplate via programmable docstrings.
- Add
auc_with_confidence_intervals, a method for computing the AUC and confidence interval with linearithmic time complexity.
regression_head now accepts customized link function, to satisfy the usage that user can define their own link function if the array_ops.identity does not meet the requirement.
- Fix
initialized_value and initial_value behaviors for ResourceVariables created from VariableDef protos.
- Add TensorSpec to represent the specification of Tensors.
- Constant folding pass is now deterministic.
- Support
float16 dtype in tf.linalg.*.
- Add
tf.estimator.export.TensorServingInputReceiver that allows tf.estimator.Estimator.export_savedmodel to pass raw tensors to model functions.
Thanks to our Contributors
This release contains contributions from many people at Google, as well as:
4d55397500, Abe, Alistair Low, Andy Kernahan, Appledore, Ben, Ben Barsdell, Boris Pfahringer, Brad Wannow, Brett Koonce, Carl ThomΓ©, cclauss, Chengzhi Chen, Chris Drake, Christopher Yeh, Clayne Robison, Codrut Grosu, Daniel Trebbien, Danny Goodman, David Goodwin, David Norman, Deron Eriksson, Donggeon Lim, Donny Viszneki, DosLin, DylanDmitri, Francisco Guerrero, Fred Reiss, gdh1995, Giuseppe, Glenn Weidner, gracehoney, Guozhong Zhuang, Haichen "Hc" Li, Harald Husum, harumitsu.nobuta, Henry Spivey, hsm207, Jekyll Song, Jerome, Jiongyan Zhang, jjsjann123, John Sungjin Park, Johnson145, JoshVarty, Julian Wolff, Jun Wang, June-One, Kamil Sindi, Kb Sriram, Kdavis-Mozilla, Kenji, lazypanda1, Liang-Chi Hsieh, Loo Rong Jie, Mahesh Bhosale, MandarJKulkarni, ManHyuk, Marcus Ong, Marshal Hayes, Martin Pool, matthieudelaro, mdfaijul, mholzel, Michael Zhou, Ming Li, Minmin Sun, Myungjoo Ham, MyungsungKwak, Naman Kamra, Peng Yu, Penghao Cen, Phil, Raghuraman-K, resec, Rohin Mohanadas, Sandeep N Gupta, Scott Tseng, seaotterman, Seo Sanghyeon, Sergei Lebedev, Ted Chang, terrytangyuan, Tim H, tkunic, Tod, vihanjain, Yan Facai (ι’εζ), Yin Li, Yong Tang, Yukun Chen, Yusuke Yamada