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| -rw-r--r-- | RELEASE.md | 36 | ||||
| -rw-r--r-- | tensorflow/python/kernel_tests/check_ops_test.py | 7 | ||||
| -rw-r--r-- | tensorflow/python/ops/check_ops.py | 4 |
3 files changed, 37 insertions, 10 deletions
diff --git a/RELEASE.md b/RELEASE.md index 5fec61af7e..879b995a5a 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -1,18 +1,38 @@ # Release 1.9.0 ## Major Features And Improvements -* Update tf.keras to the Keras 2.1.6 API. +* Updated docs for `tf.keras`: New Keras-based [get started](http://tensorflow.org/versions/r1.9/get_started), + and [programmers guide page](http://tensorflow.org/versions/r1.9/programmers_guide/keras). +* Update `tf.keras` to the Keras 2.1.6 API. +* Added [`tf.keras.layers.CuDNNGRU`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/keras/layers/CuDNNGRU) and [`tf.keras.layers.CuDNNLSTM`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/keras/layers/CuDNNLSTM) layers. [Try it](https://colab.sandbox.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/nmt_with_attention/nmt_with_attention.ipynb?linkId=53292082). +* Adding support of core [feature columns](https://www.tensorflow.org/get_started/feature_columns) and [losses](https://www.tensorflow.org/api_docs/python/tf/losses) to [gradient boosted trees estimators](https://github.com/tensorflow/models/tree/master/official/boosted_trees). +* The [python interface](https://tensorflow-dot-devsite.googleplex.com/versions/r1.9/api_docs/python/tf/contrib/lite) + for the [TFLite Optimizing Converter](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/lite/toco/README.md) + has been expanded, and the command line interface (AKA: `toco`, `tflite_convert`) is once again + included in the standard `pip` installation. +* Improved data-loading and text processing with: + * [`tf.decode_compressed`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/decode_compressed) + * [`tf.string_strip`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/string_strip) + * [`tf.strings.regex_full_match`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/strings/regex_full_match) +* Added experimental support for new pre-made Estimators: + * [`tf.contrib.estimator.BaselineEstimator`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/contrib/estimator/BaselineEstimator) + * [`tf.contrib.estimator.RNNClassifier`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/contrib/estimator/RNNEstimator) + * [`tf.contrib.estimator.RNNEstimator`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/contrib/estimator/RNNClassifier) +* The [distributions.Bijector](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/contrib/distributions/bijectors/Bijector) + API supports broadcasting for Bijectors with new API changes. + +## Breaking Chances + * If you're opening empty variable scopes; replace `variable_scope('', ...)` by + `variable_scope(tf.get_variable_scope(), ...)`. + +## Bug Fixes and Other Changes + * `tfe.Network` is deprecated. Please inherit from `tf.keras.Model`. -* Adding support of core feature columns and losses to gradient boosted trees estimators. -* The distributions.Bijector API supports broadcasting for Bijectors with new API changes. See [here](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/distributions/bijectors/Bijector) for more details. * Layered variable names have changed in the following conditions: * Using `tf.keras.layers` with custom variable scopes. - * Using `tf.layers` in a subclassed `tf.keras.Model` class. See [here](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/layers) for more details + * Using `tf.layers` in a subclassed `tf.keras.Model` class. See + [here](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/layers) for more details -## Breaking Chances - * If you're opening empty variable scopes; replace `variable_scope`('', ...) by `variable_scope`(`tf.get_variable_scope()`, ...). - -## Bug Fixes and Other Changes * `tf.data`: * `Dataset.from_generator()` now accepts an `args` list, in order to create nested generators. * `Dataset.list_files()` now produces determinstic results when `shuffle=False` or a `seed` is passed. diff --git a/tensorflow/python/kernel_tests/check_ops_test.py b/tensorflow/python/kernel_tests/check_ops_test.py index 5a83ec8d30..7ef841c96b 100644 --- a/tensorflow/python/kernel_tests/check_ops_test.py +++ b/tensorflow/python/kernel_tests/check_ops_test.py @@ -88,6 +88,13 @@ class AssertEqualTest(test.TestCase): out = array_ops.identity(small) self.evaluate(out) + @test_util.run_in_graph_and_eager_modes() + def test_scalar_comparison(self): + const_true = constant_op.constant(True, name="true") + const_false = constant_op.constant(False, name="false") + with self.assertRaisesRegexp(errors.InvalidArgumentError, "fail"): + check_ops.assert_equal(const_true, const_false, message="fail") + def test_returns_none_with_eager(self): with context.eager_mode(): small = constant_op.constant([1, 2], name="small") diff --git a/tensorflow/python/ops/check_ops.py b/tensorflow/python/ops/check_ops.py index cabc1e724c..375a5ec2c3 100644 --- a/tensorflow/python/ops/check_ops.py +++ b/tensorflow/python/ops/check_ops.py @@ -341,8 +341,8 @@ def assert_equal(x, y, data=None, summarize=None, message=None, name=None): y_sum, y_np[:y_sum])) index_and_values_str = '' - if x.shape == y.shape: - # If the shapes of x and y are the same, + if x.shape == y.shape and x.shape.as_list(): + # If the shapes of x and y are the same (and not scalars), # Get the values that actually differed and their indices. # If shapes are different this information is more confusing # than useful. |