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* Remove python shebang line from gen_git_source.Gravatar Gunhan Gulsoy2018-10-09
| | | | PiperOrigin-RevId: 216479972
* Use Ophints to support TfLite UnidirectionaSequenceLstm and add an e2e test.Gravatar A. Unique TensorFlower2018-10-09
| | | | | | Support peephole and num_proj as well. PiperOrigin-RevId: 216467578
* Automated rollback of commit 9bd459e4ceba14f9bb1af98d52a109325de952e8Gravatar A. Unique TensorFlower2018-10-09
| | | | PiperOrigin-RevId: 216463491
* Adds an Objective-C API to TensorFlow Lite experimental.Gravatar A. Unique TensorFlower2018-10-09
| | | | PiperOrigin-RevId: 216451263
* Part 2/3 of the update of tf.keras to the Keras 2.2.4 API.Gravatar Francois Chollet2018-10-09
| | | | PiperOrigin-RevId: 216442569
* [tf.data] NUMA-aware MapAndBatch dataset.Gravatar Brennan Saeta2018-10-09
| | | | PiperOrigin-RevId: 216395709
* Merge pull request #22719 from samikama:fix_pip_packageGravatar TensorFlower Gardener2018-10-08
|\ | | | | | | PiperOrigin-RevId: 216245301
* | Add tf.BenchmarkConfig that returns a session config appropriate for ↵Gravatar A. Unique TensorFlower2018-10-08
| | | | | | | | | | | | benchmarking. At the moment, it returns a default config with only Grappler dependency optimizer disabled. Many benchmarks wrap the subgraph they want to time in control_flow_ops.group() to avoid including the overhead of copying the output back to the Python client in the measurement. In the graph, this only adds a control dependency between the subgraph output and the fetch node, which in turn (often) causes the dependency optimizer to turn all nodes in the graph into no-ops. PiperOrigin-RevId: 216242463
* | Part 1/3 of the feature sync to the Keras 2.2.4 API.Gravatar Francois Chollet2018-10-08
| | | | | | | | PiperOrigin-RevId: 216211279
* | Fix bug in nonpip builds in ci_parameterized_build.shGravatar Todd Wang2018-10-05
| | | | | | | | | | | | | | The extra spaces were confusing bash's string-line-continuation from the backslash `\` on the previous line. PiperOrigin-RevId: 215964853
* | Workaround build errors in Android NDK r14b.Gravatar Jeremy Lau2018-10-05
| | | | | | | | PiperOrigin-RevId: 215950376
* | Automated rollback of commit 6b538d9ce54e878576131cde0c76e43a893180c2Gravatar Smit Hinsu2018-10-04
| | | | | | | | PiperOrigin-RevId: 215808649
* | Add TF_BUILD_TEST_TIMEOUT to ci_parameterized_build.shGravatar Todd Wang2018-10-04
| | | | | | | | PiperOrigin-RevId: 215793932
* | Add "encoding" attribute to string substr op, which controls how each ↵Gravatar A. Unique TensorFlower2018-10-04
| | | | | | | | | | | | | | | | | | | | "character" is treated: * BYTE: Position & length refer to bytes in the string. (Default) * UTF8: The string is interpreted as UTF-8 encoded Unicode code points, and position & length are treated relative to them. RELNOTES: Add option to get substring using Unicode characters PiperOrigin-RevId: 215773373
* | Add tensorflow_estimator pip package to install_pip_packages.shGravatar Michael Case2018-10-04
| | | | | | | | | | | | We will need this for remote-build presubmits to pass. PiperOrigin-RevId: 215760872
* | Add option in tf.gradients() to return zero tensors for unconnected gradients.Gravatar A. Unique TensorFlower2018-10-04
| | | | | | | | | | | | | | | | tf.gradients currently returns [NONE] when the gradient of unconnected variables is required. This backwards compatable change adds in the option to have zero tensors returned that match the dimensions of the input tensor. PiperOrigin-RevId: 215725488
* | Automated rollback of commit 70a395f9795a48c21bc35cdf1dc44778f73a7bbaGravatar A. Unique TensorFlower2018-10-04
| | | | | | | | PiperOrigin-RevId: 215710849
* | Pin wheel=0.31.1 in install_auditwheel.sh to work around issueGravatar Todd Wang2018-10-03
| | | | | | | | | | | | https://github.com/pypa/auditwheel/issues/102 PiperOrigin-RevId: 215685104
| * Include .inc files for absl headersGravatar Sami Kama2018-10-03
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* Fix ci_parameterized_build to pass environment variables to tests.Gravatar Todd Wang2018-10-03
| | | | | | | This is particularly important when using --run_under with parallel_gpu_execute, since the envvars control the execution. PiperOrigin-RevId: 215637931
* [data-stats] Sets user given `tag` and `counter_prefix` with ↵Gravatar Shivani Agrawal2018-10-03
| | | | | | | | `set_stats_aggregator`. `tag` would get prep-end with all the statistics recorded as summary and `counter_prefix` would set the prefix for the statistics recorded as counter. Note: `counter` defaults to `\tensorflow`, and `tag` and `prefix` gets associated with the dataset (not the stats_aggregator). PiperOrigin-RevId: 215609159
* Disable XLA for Android builds.Gravatar Jeremy Lau2018-10-03
| | | | PiperOrigin-RevId: 215605865
* Pin wheel=0.31.1 to work around issueGravatar Jeremy Lau2018-10-02
| | | | | | https://github.com/pypa/auditwheel/issues/102 PiperOrigin-RevId: 215486669
* Disable XLA from raspberry pi builds.Gravatar Todd Wang2018-10-02
| | | | | | | There is no known conceptual reason we can't use XLA, but in practice we have some build issues that will need to be fixed. PiperOrigin-RevId: 215484942
* Merge pull request #21374 from perfinion:bazelGravatar TensorFlower Gardener2018-10-02
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* | Update Keras RNN layer to support time major input.Gravatar Scott Zhu2018-10-02
| | | | | | | | PiperOrigin-RevId: 215479788
* | Internal change.Gravatar Anna R2018-10-02
| | | | | | | | PiperOrigin-RevId: 215477724
* | Merge pull request #17672 from joeyearsley:patch-3Gravatar TensorFlower Gardener2018-10-02
|\ \ | | | | | | | | | PiperOrigin-RevId: 215447391
| * | Updated ordering for kwargsGravatar joe yearsley2018-10-02
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* | | [tf.data] Adding `tf.data.Options()`, `tf.data.Dataset.options()`, and ↵Gravatar Jiri Simsa2018-10-01
| | | | | | | | | | | | | | | | | | `tf.data.Dataset.with_options()` to make it possible to respectively represent, get, and set options, such as optimization configuration, of a tf.data input pipeline. PiperOrigin-RevId: 215310764
* | | [tf.data] Deprecate `tf.contrib.data` and introduce `tf.data.experimental` ↵Gravatar Derek Murray2018-10-01
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | to replace it. This change prepares `tf.data` for TensorFlow 2.0, where `tf.contrib` will no longer exist. It retains the pre-existing endpoints in `tf.contrib.data` with deprecation warnings. Note there are some exceptions to the move: * Deprecated symbols in `tf.contrib.data` have not been moved to `tf.data.experimental`, because replacements already exist. * `tf.contrib.data.LMDBDataset` has not been moved, because we plan to move it to a SIG-maintained repository. * `tf.contrib.data.assert_element_shape()` has not yet been moved, because it depends on functionality in `tf.contrib`, and it will move in a later change. * `tf.contrib.data.AUTOTUNE` has not yet been moved, because we have not yet determined how to `tf_export()` a Python integer. * The stats-related API endpoints have not yet appeared in a released version of TensorFlow, so these are moved to `tf.data.experimental` without retaining an endpoint in `tf.contrib.data`. In addition, this change includes some build rule and ApiDef refactoring: * Some of the "//third_party/tensorflow/python:training" dependencies had to be split in order to avoid a circular dependency. * The `tf.contrib.stateless` ops now have a private core library for the generated wrappers (and accordingly are hidden in their ApiDef) so that `tf.data.experimental.sample_from_datasets()` can depend on them. PiperOrigin-RevId: 215304249
* | | Remove jemalloc build files and dead configuration options.Gravatar Ayush Dubey2018-10-01
| | | | | | | | | | | | PiperOrigin-RevId: 215291195
* | | internal changeGravatar Mark Daoust2018-10-01
| | | | | | | | | | | | PiperOrigin-RevId: 215282721
* | | Update keras_applications to 1.0.6 and keras_preprocessing to 1.0.5.Gravatar Francois Chollet2018-10-01
| | | | | | | | | | | | | | | | | | This removes the transitive keras and scipy dependencies in TensorFlow. PiperOrigin-RevId: 215277190
* | | Updating function and class tf_export decorators for endpoints according toGravatar Anna R2018-10-01
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | https://github.com/tensorflow/community/pull/16. In addition to the changes in the doc, I made the following updates (these changes make sense to me and I didn't notice them when compiling the doc): * deprecate saved_model.builder.SavedModelBuilder - replaced with saved_model.SavedModelBuilder * deprecate python_io.tf_record_iterator - replaced with io.tf_record_iterator * deprecate python_io.TFRecordWriter - replaced with io.TFRecordWriter * move reduce_join to tf.string PiperOrigin-RevId: 215253944
* | | Add deprecation notice for BasicRNNCell, which will be replaced by ↵Gravatar Scott Zhu2018-10-01
| | | | | | | | | | | | | | | | | | keras.SimpleRNNCell. PiperOrigin-RevId: 215249611
* | | Bump the version of protobuf TF pip package depends on.Gravatar Gunhan Gulsoy2018-09-30
| | | | | | | | | | | | | | | | | | Fixes #21719 PiperOrigin-RevId: 215154273
* | | Removing the setuptools upper limit.Gravatar Amit Patankar2018-09-30
| | | | | | | | | | | | PiperOrigin-RevId: 215120867
* | | Automated rollback of commit d78595d333c9b5c8a0705ba6852c08b107d6c462Gravatar A. Unique TensorFlower2018-09-29
| | | | | | | | | | | | PiperOrigin-RevId: 215073584
| * | Update tensorflow.layers.pbtxtGravatar Joe Yearsley2018-09-29
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| * | Updated v2Gravatar Joe Yearsley2018-09-29
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| * | Updated protobufGravatar Joe Yearsley2018-09-29
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| * | Updated layersGravatar josephyearsley2018-09-29
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| * | Updated goldenGravatar josephyearsley2018-09-29
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* | Make cuda_py_test create a gpu and cpu target.Gravatar A. Unique TensorFlower2018-09-29
| | | | | | | | | | | | | | | | Currently, we run tests on machines with GPUs based on the "gpu" tag, and the tests automatically adapt to whether a GPU is available. Creating two targets, one tagged with "gpu" and one not, will make us run the tests in both modes. PiperOrigin-RevId: 215045035
* | Internal change.Gravatar Anna R2018-09-28
| | | | | | | | PiperOrigin-RevId: 215005698
* | [tf.data] Merged contrib.data's DatasetTestBase with the DatasetTestBase in ↵Gravatar Rachel Lim2018-09-28
| | | | | | | | | | | | core (and added that as a base class for all the contrib tests). Also changed the assertDatasetsEqual functions so they are both graph and eager compatible (took the code from CSVDatasetTest) :) PiperOrigin-RevId: 215004892
* | Introduce the abstraction of RunHandler which each DirectSession can use forGravatar A. Unique TensorFlower2018-09-28
| | | | | | | | | | | | | | | | | | the duration of a single RunInternal() call from RunHandlerPool. It is used for running inter-op closures with a global scheduler (which in the future) to improve both median and tail latency (for use-cases like CPU inference). In the case that global pools aren't used, this change should be a no-op. PiperOrigin-RevId: 214992852
* | Do not pass in the bazel default toolchain via extra_toolchains.Gravatar A. Unique TensorFlower2018-09-28
| | | | | | | | | | | | | | | | | | Without this the default toolchain is used for a subset of the build and the tests do not actually run on GPUs. This uncovered a setup problem in the Docker image that needed fixing. PiperOrigin-RevId: 214987676
* | Build TF with XLA support by default.Gravatar Todd Wang2018-09-28
| | | | | | | | | | | | | | Building binaries with XLA support does not enable it by default, it simply makes it accessible via default binary builds. PiperOrigin-RevId: 214942824
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