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Diffstat (limited to 'RELEASE.md')
| -rw-r--r-- | RELEASE.md | 21 |
1 files changed, 16 insertions, 5 deletions
diff --git a/RELEASE.md b/RELEASE.md index e7c086164a..da297b2e86 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -1,7 +1,13 @@ # Release 1.3.0 ## Major Features and Improvements -* Added canned estimators to Tensorflow library. List of added estimators: `DNNClassifier`, `DNNRegressor`, `LinearClassifer`, `LinearRegressor`, `DNNLinearCombinedClassifier`, `DNNLinearCombinedRegressor`. +* Added canned estimators to Tensorflow library. List of added estimators: + * `DNNClassifier` + * `DNNRegressor` + * `LinearClassifier` + * `LinearRegressor` + * `DNNLinearCombinedClassifier` + * `DNNLinearCombinedRegressor`. * All our prebuilt binaries have been built with cuDNN 6. * Adds a file cache to the GCS filesystem with configurable max staleness for file contents. This permits caching of file contents across close/open boundaries. * Added an axis parameter to `tf.gather`. @@ -17,10 +23,14 @@ * Introduces base implementations of ClusterResolvers. * Unify memory representations of TensorShape and PartialTensorShape. As a consequence, tensors now have a maximum of 254 dimensions, not 255. * Changed references to LIBXSMM to use version 1.8.1. -* TensorFlow Debugger (tfdbg): Display summaries of numeric tensor values with the `-s` flag to command `print_tensor` or `pt`. +* TensorFlow Debugger (tfdbg): + * Display summaries of numeric tensor values with the `-s` flag to command `print_tensor` or `pt`. + * Display feed values with the `print_feed` or `pf` command and clickable links in the curses UI. + * Runtime profiler at the op level and the Python source line level with the `run -p` command. * Initial release of the statistical distribution library `tf.distributions`. * GPU kernels and speed improvements for for unary `tf.where` and `tf.nn.top_k`. * Monotonic Attention wrappers added to `tf.contrib.seq2seq`. +* Added `tf.contrib.signal`, a library for signal processing primitives. ## Breaking Changes to the API * `tf.RewriterConfig` was removed from the Python API after being available in 1.2 release candidates (it was never in an actual release). Graph rewriting is still available, just not as `tf.RewriterConfig`. Instead add an explicit import. @@ -33,7 +43,7 @@ * Adds FULLY_CONNECTED Op to tensorflow/contrib/lite/schema.fbs ## Bug Fixes and Other Changes -* Fixes 'strides' and 'begin' dtype mismatch when slicing using int64 Tensor index in python. +* Fixes `strides` and `begin` dtype mismatch when slicing using int64 Tensor index in python. * Improved convolution padding documentation. * Add a tag constant, gpu, to present graph with GPU support. * `saved_model.utils` now support SparseTensors transparently. @@ -65,8 +75,9 @@ * Framework now supports armv7, cocoapods.org now displays correct page. * Script to create iOS framework for CocoaPods. * Android releases of TensorFlow are now pushed to jcenter for easier integration into apps. See https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/android/README.md for more details. -* Fixed a bug that prevented tfdbg from functioning with multi-GPU setups. -* Fixed a bug that prevented tfdbg from working with `tf.Session.make_callable`. +* TensorFlow Debugger (tfdbg): + * Fixed a bug that prevented tfdbg from functioning with multi-GPU setups. + * Fixed a bug that prevented tfdbg from working with `tf.Session.make_callable`. ## Thanks to our Contributors |