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* Extend `assertAllClose()` so it supports namedtuples.Gravatar A. Unique TensorFlower2018-01-10
| | | | | | For example, if you have defined a namedtuple called `MyNamedTuple`, and there are two variables `a=MyNamedTuple(...)`, and `b=MyNamedTuple(...)`, you can directly call `assertAllClose(a, b)` if you intend to know if the two namedtuples are close elementwise. PiperOrigin-RevId: 181501832
* [XLA] Name conv/dot fusion nodes conv_fusion.42 / dot_fusion.42.Gravatar Justin Lebar2018-01-10
| | | | | | | | | | | | These fusion categories are really just a way of expressing a particular kind of dot or conv. This makes them easier to differentiate from "proper" fusion nodes. We also change the category of these instructions so that in the HLO profile, e.g. conv-fusion shows up under the convolution category, rather than under "fusion". PiperOrigin-RevId: 181499300
* Merge changes from github.Gravatar Frank Chen2018-01-10
| | | | PiperOrigin-RevId: 181494416
* Add BF16 test for reverse.Gravatar Yuanzhong Xu2018-01-10
| | | | PiperOrigin-RevId: 181494232
* Relax text comparison for numpy formatting of arraysGravatar Shanqing Cai2018-01-10
| | | | | | | | | | | * Previously, strong assumptions were made about how numpy.ndarrays are formatted as strings. This led to breakages due to certain unclear changes in numpy or its dependencies. This CL relaxes the assumption and fix the affected tests for tfdbg and eager. * The tests in tensor_format_test.py are simplified through helper methods. PiperOrigin-RevId: 181494182
* The gan training test is flaky. Disabling it.Gravatar Amit Patankar2018-01-10
| | | | PiperOrigin-RevId: 181493377
* Add support for method calls with no return value. Only supports objects of ↵Gravatar A. Unique TensorFlower2018-01-10
| | | | | | types whitelisted to remain uncompiled. PiperOrigin-RevId: 181493349
* Cleanup (remove unused method) before adding tensorrt configurations.Gravatar Guangda Lai2018-01-10
| | | | PiperOrigin-RevId: 181469026
* 1) Bug fix: reuse discriminator_scope when re-applying discriminator_fn.Gravatar A. Unique TensorFlower2018-01-10
| | | | | | 2) Bug fix: explicitly set tensor pool output_values shape. PiperOrigin-RevId: 181467812
* Add support for more types for Pad.Gravatar Nupur Garg2018-01-10
| | | | PiperOrigin-RevId: 181467627
* Handle empty squeeze dimensions.Gravatar Yao Zhang2018-01-09
| | | | PiperOrigin-RevId: 181422479
* [TF:XLA] Reduce boilerplate in ComputationBuilder op implementations.Gravatar Todd Wang2018-01-09
| | | | | | | | | | | | | | | | | This makes the code a bit easier to read, and less likely we'll accidentally forget to set common fields for any new ops. A similar pattern is used for every op: ComputationDataHandle ComputationBuilder::Foo(...) { OpRequest op_request; FooRequest* request = op_request.mutable_foo_request(); // ... fill in specific request ... return RunOpAndParseResponse(&op_request); } No functional changes. PiperOrigin-RevId: 181415608
* [XLA::GPU] Pass xla_backend_extra_options to the GPU backend.Gravatar A. Unique TensorFlower2018-01-09
| | | | | | | | Move InitializeLLVMCommandLineOptions from cpu_compiler.cc to llvm_util.cc to make it available to the GPU backend. Call InitializeLLVMCommandLineOptions when initializing the GPU backend. PiperOrigin-RevId: 181414589
* [XLA] Ensure that IR is dumped if the LLVM verifier fails.Gravatar Justin Lebar2018-01-09
| | | | | | | | Without this change, if verification of the LLVM IR failed, we'd bail out before dumping the IR. All this even though our error message helpfully suggests passing --xla_dump_ir_to! PiperOrigin-RevId: 181410671
* Remove smart pointers from SQLite veneerGravatar Justine Tunney2018-01-09
| | | | | | | | | | | | Sqlite now extends tensorflow::core::RefCounted which is a better practice for code in the TensorFlow codebase. A few other trivial changes were snuck in. There's now a db->changes() method. Error messages will also display the SQLite extended result code, which can be looked up by hand with some difficulty, just in case the error message string doesn't reflect the whole nuance of something like an i/o error. PiperOrigin-RevId: 181410358
* Add assertion to prevent generation of degenerate linear_to_mel_weight_matrix.Gravatar A. Unique TensorFlower2018-01-09
| | | | | | | | Prior to this change if upper_edge_hertz is larger than sample_rate / 2 (the highest frequency present in the linear spectrogram), the returned matrix would contain columns that are all zeros. This is likely a surprising result for those that are unfamiliar with signal processing, so it seems safer to raise an exception on such a misconfiguration than to silently allow users to generate poorly behaved features. PiperOrigin-RevId: 181407176
* Update ops-related pbtxt files.Gravatar A. Unique TensorFlower2018-01-09
| | | | PiperOrigin-RevId: 181405525
* Raise an error if the variable names in WarmStartSettings aren't actually used.Gravatar A. Unique TensorFlower2018-01-09
| | | | PiperOrigin-RevId: 181404919
* Go: Update generated wrapper functions for TensorFlow ops.Gravatar A. Unique TensorFlower2018-01-09
| | | | PiperOrigin-RevId: 181398752
* profiler C++ API.Gravatar A. Unique TensorFlower2018-01-09
| | | | PiperOrigin-RevId: 181397308
* Added a "Getting Started with TensorFlow for ML Beginners" chapter to GetGravatar A. Unique TensorFlower2018-01-09
| | | | | | Started section. PiperOrigin-RevId: 181396430
* Replace get_startedGravatar Mark Daoust2018-01-09
| | | | | | | Also add sub-sections to leftnav files, and sync leftnav and index files. PiperOrigin-RevId: 181394206
* [tf.data] Store the `FunctionLibraryDefinition` for restored iterators in ↵Gravatar Derek Murray2018-01-09
| | | | | | | | | | the resource. This will make it possible to use the experimental `overlay_lib` to instantiate and run functions from a restored iterator's graph using the shared `FunctionLibraryRuntime`. PiperOrigin-RevId: 181392925
* Remove regex for Gather tests. We don't test int64 indices at all.Gravatar A. Unique TensorFlower2018-01-09
| | | | PiperOrigin-RevId: 181390058
* Do not record operations or watch tensors/variables when the thread tape is ↵Gravatar Alexandre Passos2018-01-09
| | | | | | disabled. PiperOrigin-RevId: 181390045
* Make replicate_model_fn more flexible to simplify users' model_fn.Gravatar Igor Saprykin2018-01-09
| | | | | | If there is only one device then replication/aggregation overhead isn't added. It is okay to not use TowerEstimator if there is only one device. It is okay to use TowerEstimator but not use replicate_model_fn. PiperOrigin-RevId: 181388296
* [tpu:profiler] Capture the data for generating an overview page of the ↵Gravatar A. Unique TensorFlower2018-01-09
| | | | | | profiling results. PiperOrigin-RevId: 181387984
* Removing op_gen_overrides.proto and references. Overrides in ↵Gravatar Anna R2018-01-09
| | | | | | op_gen_overrides.pbtxt are a part of tensorflow/core/api_def/base_api/. PiperOrigin-RevId: 181386873
* Allow 1D, 2D and 3D tensors in L2NormGravatar A. Unique TensorFlower2018-01-09
| | | | PiperOrigin-RevId: 181384430
* Simplify replicate_model_fn.GatheringOptimizer inspired by the past comments.Gravatar Igor Saprykin2018-01-09
| | | | | | | | | | | - I worked around the need to rely on Optimizer.__class__ for keeping track of the gradients. Now we are relying on the order of collecting them. I also added a basic verification that all towers have indeed called the same number of optimizers. - I now allow the user to increment global step however many times they wish. The changes above allowed me to support using the same optimizer class multiple times in a tower. I also renamed GatheringOptimizer to TowerOptimizer, which is a breaking change. #lifeincontrib PiperOrigin-RevId: 181381569
* Better detect the amount of device memory that's availableGravatar Benoit Steiner2018-01-09
| | | | PiperOrigin-RevId: 181381477
* Disable contrib/data interleave_dataset_op_test as it is timing out on some ↵Gravatar Frank Chen2018-01-09
| | | | | | Kokoro runs: https://source.cloud.google.com/results/invocations/d276e288-4664-4b17-aac2-b0dfaff45b17/targets/%2F%2Ftensorflow%2Fcontrib%2Fdata%2Fpython%2Fkernel_tests:interleave_dataset_op_test/tests PiperOrigin-RevId: 181374381
* [TF:XLA] Bump open source llvm revision to r322011Gravatar Sanjoy Das2018-01-09
| | | | PiperOrigin-RevId: 181373542
* [TF:XLA] Use broadcasts instead of larger constants for image resizing.Gravatar Blake Hechtman2018-01-09
| | | | PiperOrigin-RevId: 181369272
* Automated g4 rollback of changelist 180691955Gravatar Anna R2018-01-09
| | | | PiperOrigin-RevId: 181365803
* Extend the type info analyzer to cover variables declared using with statements.Gravatar A. Unique TensorFlower2018-01-09
| | | | | | | | | This allows constructs of the kind: with tfe.GradientTape() as tape: tape.gradients(...) PiperOrigin-RevId: 181358791
* Introduce global_id_in_cluster in RunConfig.Gravatar Jianwei Xie2018-01-09
| | | | PiperOrigin-RevId: 181354785
* High level API. The public interface is found in api.py.Gravatar A. Unique TensorFlower2018-01-09
| | | | PiperOrigin-RevId: 181352929
* [XLA] Make HLO categorization a bit more sane.Gravatar A. Unique TensorFlower2018-01-09
| | | | | | Remove meaningless distinctions between fusion nodes. Knowing whether a loop fusion op is "elementwise" (~ doesn't contain any broadcast inputs) doesn't provide any useful information. PiperOrigin-RevId: 181352880
* Add experimental `FunctionLibraryRuntime::InstantiateOptions::overlay_lib`.Gravatar Derek Murray2018-01-09
| | | | | | | | | | | | | This option makes it possible to instantiate functions from a library that has been loaded separately from the runtime's own library. We plan to use this as part of the `tf.data` checkpoint restore process, which might load an iterator whose state includes functions that aren't present in the original graph. (This is currently achieved by creating an isolated `FunctionLibraryRuntime` for each function-using `Dataset`, but that is inefficient and prevents using features of the main runtime, such as cross-device function calls.) PiperOrigin-RevId: 181352217
* Implement `tf.data.Iterator` methods and properties in ↵Gravatar Derek Murray2018-01-09
| | | | | | | | | | | | | | | `tf.contrib.eager.Iterator`. Also fixes `tf.contrib.eager.Iterator` so that it can work with datasets containing `tf.SparseTensor` components. This change allows you to use the `get_next()` method, `output_types` property, `output_shapes` property, and `output_classes` property from `tf.data.Iterator` when constructing a `tf.contrib.eager.Iterator`; and therefore makes it easier to write code that operates on an `Iterator` in both eager and graph mode. PiperOrigin-RevId: 181350797
* Replaces std::random_shuffle by std::shuffle for C++17 compatibility.Gravatar A. Unique TensorFlower2018-01-09
| | | | PiperOrigin-RevId: 181350723
* [XLA] Elide unnecessary local client creations in SWIG API.Gravatar Chris Leary2018-01-09
| | | | PiperOrigin-RevId: 181350574
* Removing dnn_linear_combined_test from msan testing.Gravatar Amit Patankar2018-01-09
| | | | PiperOrigin-RevId: 181349010
* Fix type attribute name for Cast.Gravatar Yao Zhang2018-01-09
| | | | PiperOrigin-RevId: 181348431
* Adding support for const ops that "broadcast" their own values.Gravatar A. Unique TensorFlower2018-01-09
| | | | PiperOrigin-RevId: 181345661
* Support FusedBatchNorm layer in receptive field calculation.Gravatar A. Unique TensorFlower2018-01-09
| | | | PiperOrigin-RevId: 181345319
* Adding a CLIF library for generic_tree_model.protoGravatar A. Unique TensorFlower2018-01-09
| | | | PiperOrigin-RevId: 181341793
* Fix _warmstart_var_with_vocab to truly accept either a checkpoint dir or a ↵Gravatar A. Unique TensorFlower2018-01-09
| | | | | | direct path to checkpoint files. PiperOrigin-RevId: 181341437
* Fix typo in ValueError string.Gravatar A. Unique TensorFlower2018-01-09
| | | | PiperOrigin-RevId: 181340112
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