diff options
| author |  Anna R <annarev@google.com> | 2018-04-10 11:04:32 -0700 |
|---|---|---|
| committer | Anna R <annarev@google.com> | 2018-04-10 11:04:32 -0700 |
| commit | c2582d40474211877764b5ac24d412384d20bd25 (patch) | |
| tree | 7d4341fd55fb71e7bdaf236f02284099b2dd4916 /RELEASE.md | |
| parent | 1f9eeeb842a052326da766a626b32b2e7a50ffcc (diff) | |
Update a few release notes
Diffstat (limited to 'RELEASE.md')
| -rw-r--r-- | RELEASE.md | 7 |
1 files changed, 3 insertions, 4 deletions
diff --git a/RELEASE.md b/RELEASE.md index 6ec03f94d8..83c14200ec 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -13,9 +13,8 @@ * Add `tf.contrib.data.prefetch_to_device`, which enables prefetching dataset elements to GPU memory. * Add `tf.contrib.data.AUTOTUNE`, which allows the tf.data runtime to automatically tune the prefetch buffer sizes based on your system and environment. * Add `tf.contrib.data.make_csv_dataset` for building datasets of CSV files. - * With eager execution Datasets can now be used as standard python iterators (`for batch in dataset:`). Both `Dataset.__iter__()` and `Dataset.make_one_shot_iterator()` can now be used to create iterators in eager mode. * Eager Execution: - * Can now naturally iterate over `tf.data.Dataset` objects without wrapping in a `tf.contrib.eager.Iterator`. For example: `for x in tf.data.Dataset.range(10): print(x)` + * With eager execution Datasets can now be used as standard python iterators (`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. * Automatic device placement has been enabled (i.e., use a GPU if available automatically, without requiring an explicit `with tf.device(“/gpu:0”)`) (Fixes #14133) * `tf.GradientTape` has moved out of contrib. * `tf.keras`: @@ -24,8 +23,8 @@ * Accelerated Linear Algebra (XLA): * Select and scatter in reference util and evaluator now use lexicographical order to break ties. * TensorFlow Debugger (tfdbg) CLI: - * During tensor-filter operations, allow exclusion of nodes by regular expressions. - * Fix spurious background colors in some text terminals. + * During tensor-filter operations, allow exclusion of nodes by regular expressions. + * Fix spurious background colors in some text terminals. * tf.contrib: * Add meta-distribution BatchReshape which reshapes batch dimensions. * `tf.contrib.layers.recompute_grad` works for explicit gradient checkpointing on TPU. |