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* Add support for select (via tf.where) support to tflite.Gravatar A. Unique TensorFlower2018-05-07
| | | | PiperOrigin-RevId: 195734246
* Internal Change.Gravatar Michael Case2018-05-07
| | | | PiperOrigin-RevId: 195731675
* Fix TypeError in update_version.pyGravatar Michael Case2018-05-07
| | | | PiperOrigin-RevId: 195731183
* Add support for tf.data.Dataset iterators in model training/eval methods in ↵Gravatar Pavithra Vijay2018-05-07
| | | | | | eager-mode PiperOrigin-RevId: 195730534
* Replace references to TensorInfo with XlaTensorGravatar Igor Ganichev2018-05-07
| | | | PiperOrigin-RevId: 195730139
* Disable automated testing of ↵Gravatar A. Unique TensorFlower2018-05-07
| | | | | | | | tensorflow/compiler/tests:extract_image_patches_op_test_cpu_ondemand A recent change has made this test flaky. PiperOrigin-RevId: 195726647
* Allow output has a different shape from input in the image.transform (#17011).Gravatar A. Unique TensorFlower2018-05-07
| | | | PiperOrigin-RevId: 195723288
* Fix resource variable in cond gradient.Gravatar Alexandre Passos2018-05-07
| | | | PiperOrigin-RevId: 195722449
* [XLA] Shard compilation of HloEvaluator.Gravatar Justin Lebar2018-05-07
| | | | PiperOrigin-RevId: 195721404
* Move PadV2Options to the end, in order to maintain schema compatibility.Gravatar A. Unique TensorFlower2018-05-07
| | | | PiperOrigin-RevId: 195720133
* Use 64bit aggregation for gradients and hessians since the 32 bit version is ↵Gravatar A. Unique TensorFlower2018-05-07
| | | | | | numerically unstable for large minibatches. PiperOrigin-RevId: 195719795
* Change deprecation_version field in api_def.proto to a string.Gravatar Anna R2018-05-07
| | | | PiperOrigin-RevId: 195718061
* [TF:XLA] Bump open source llvm revision to r331624Gravatar Sanjoy Das2018-05-07
| | | | PiperOrigin-RevId: 195717497
* Fixes for accessing variables with a MirroredStrategy in aGravatar A. Unique TensorFlower2018-05-07
| | | | | | | | | | | | | | | cross-tower context: * only provide read-only access to variables via get() * don't fail if use the variable isn't copied to the current device in get() * make _as_graph_element() return the aggregate value for tower-local variables (instead of the incorrect previous behavior of returning the primary) PiperOrigin-RevId: 195711474
* Specialize functions only once per unique context.Gravatar A. Unique TensorFlower2018-05-07
| | | | PiperOrigin-RevId: 195710562
* Rename HloDotWithContractDimsMatcher to HloDotWithContractingDimsMatcherGravatar Sanjoy Das2018-05-07
| | | | | | This is a typo I introduced in cr/195514907. PiperOrigin-RevId: 195706006
* Make test tensorflow/python/keras:resnet50_test be size "medium"Gravatar A. Unique TensorFlower2018-05-07
| | | | | | | This test sometimes runs longer than 60s, and has been getting flaky timeouts as a result. With a longer timeout, it succeeds reliably. PiperOrigin-RevId: 195704998
* Adding Greater/GreaterEqual/LessEqual ops to complement Less.Gravatar A. Unique TensorFlower2018-05-07
| | | | PiperOrigin-RevId: 195704492
* Add 'optonly' directive to linear_operator_circulant tests.Gravatar Ian Langmore2018-05-07
| | | | PiperOrigin-RevId: 195701399
* [TF:XLA:GPU] Allow the use of linear address when there are size one dimensionsGravatar Bixia Zheng2018-05-07
| | | | | | | | | | | | | | | in a tensor. The current implementation of EmitArrayElementAddress incorrectly concludes that having a size one dimension in a tensor indicates broadcasting is needed and the linear address can't be used to access the tensor. We fix this by leaving LinearValidOnShape to decide whether the linear address can be used to access the tensor. This enables the vectorization of loads/stores in unrolled elementwise op kernels when other criteria are met. Add a test case. PiperOrigin-RevId: 195701194
* [XLA] Add FusionKind matcher to pattern_matcher.h.Gravatar Justin Lebar2018-05-07
| | | | PiperOrigin-RevId: 195700319
* [tf.data] Patch to unref iterator_resource in DeserializeIteratorOp.Gravatar Shivani Agrawal2018-05-07
| | | | PiperOrigin-RevId: 195698980
* Disable autograph cfg_test in windows.Gravatar Gunhan Gulsoy2018-05-07
| | | | PiperOrigin-RevId: 195697446
* Register bool scatter_update for resource variablesGravatar Alexandre Passos2018-05-07
| | | | | | Fixes #17784 PiperOrigin-RevId: 195696915
* Generalize the input to TPU distribution strategy. Add cross-shard-replica sum.Gravatar Igor Saprykin2018-05-07
| | | | | | TPUStrategy passes tests in minimize_loss_test. That caused me to add a capability to have `iterations x cores` inputs of any structure. I also resolved a big number of small issues and uncovered more things to resolve that are documented as todos. PiperOrigin-RevId: 195696833
* Release notes for TensorFlow Lite.Gravatar Yu-Cheng Ling2018-05-07
| | | | PiperOrigin-RevId: 195693362
* Extracts PartialConcatConstFolding into a method.Gravatar A. Unique TensorFlower2018-05-07
| | | | PiperOrigin-RevId: 195690333
* Add tests for broadcasting KL divergence calculations.Gravatar A. Unique TensorFlower2018-05-07
| | | | PiperOrigin-RevId: 195690035
* Replaced calls to tensorflow::StringPiece::ToString with std::string ↵Gravatar A. Unique TensorFlower2018-05-07
| | | | | | | | | | conversions. That is, instances of sp.ToString() are replaced with std::string(sp). This will allow tensorflow::StringPiece::ToString to be removed, which is necessary before it can be replaced with absl::string_view. PiperOrigin-RevId: 195689392
* Extend block sparsity support for TPUsGravatar A. Unique TensorFlower2018-05-07
| | | | PiperOrigin-RevId: 195685740
* Add EvaluateNodes to HoistFactorDiv test.Gravatar A. Unique TensorFlower2018-05-07
| | | | PiperOrigin-RevId: 195685340
* Removing quotations to fix the broken link found on ↵Gravatar A. Unique TensorFlower2018-05-07
| | | | | | | | https://www.tensorflow.org/programmers_guide/embedding The link at "Follow this link to see a fun example of thumbnail images in the Embedding Projector." It should go to https://www.tensorflow.org/images/embedding-mnist.mp4 but instead goes to the TF index page. PiperOrigin-RevId: 195684456
* Internal ChangeGravatar Abhijit Karmarkar2018-05-07
| | | | PiperOrigin-RevId: 195681946
* Control flow graph with forward and backward analysisGravatar A. Unique TensorFlower2018-05-07
| | | | PiperOrigin-RevId: 195654450
* Automated g4 rollback of changelist 195638795Gravatar A. Unique TensorFlower2018-05-07
| | | | PiperOrigin-RevId: 195645734
* Improve fusion logic of (a dot b) * alphaGravatar A. Unique TensorFlower2018-05-07
| | | | | | | | | | | The previous approach didn't work because a multiplication by a scalar value will be changed into an explicit broadcast. Another issue that is fixed in this CL is retrieving the constant value from the literal. This depends on the PrimitiveType, before we always assumed it to be double. Also when checking ImplementedAsGemm() we should not call it recursively, but instead just the check related to kDot. Finally add an execution test and adjust the fusion logic test. PiperOrigin-RevId: 195638795
* Remove unused threadpool from stream executor.Gravatar A. Unique TensorFlower2018-05-07
| | | | PiperOrigin-RevId: 195632175
* Gracefully handle workers without heartbeat support enabled.Gravatar Russell Power2018-05-07
| | | | PiperOrigin-RevId: 195560525
* [XLA:GPU] Zero out input buffers before running cudnn conv autotune.Gravatar Justin Lebar2018-05-07
| | | | | | | | We don't need a corresponding change in gemm_thunk.cc because for gemms, we do our autotune at runtime, at which point we have some real data in our input/output buffers. PiperOrigin-RevId: 195548896
* [TPU] Add option to only compile a replicated graph.Gravatar Jacques Pienaar2018-05-07
| | | | | | Useful when wanting to compile a computation but not run it. Returns a serialized CompilationResult string with the error message. PiperOrigin-RevId: 195547847
* Allow benchmark model graph to be specified in text proto format.Gravatar Shashi Shekhar2018-05-07
| | | | PiperOrigin-RevId: 195547670
* [XLA] Always be willing to duplicate widening kConvert instructions during ↵Gravatar Justin Lebar2018-05-07
| | | | | | | | | | | | fusion. This has the effect of pushing widening kConvert HLOs into consumers. This is what we want, because it means that the producer writes the narrower type (e.g. f16) and the consumer reads it and internally upcasts to the wider type (e.g. f32). This lets the producer and consumer both run faster, because they have to touch less memory. PiperOrigin-RevId: 195546910
* Part 2 of Swift<->TF sends/recvs: support receiving tensors in TF fromGravatar Mingsheng Hong2018-05-07
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Swift via direct session. The changes are: 1. Added a TF experimental C API for Swift host to enqueue a tensor for sending to TF. Again, the C APIs can be removed once the Fifo-queue based design proves stable later. 2. TFLowerGraph is extended to generate Fifo related nodes for TF to receive tensors. This is similar to the extension for TF to send tensors. 3. TFPartition is extended to support host send (createHostSend()), which does the tensor send via a new protocol method TensorSendableReceivable.sendToDevice(). The main complexity is in sending a scalar, where a new protocol method TensorSendableReceivable.createScalarTensor() is called to first create a tensor out of it, and then send it over to TF. Also removed code for protocol conformance on AccelerableByTensorFlow. Instead have compiler look up that conformance from the SILFunction on sending/receiving tensors. AccelerableByTensorFlow could be removed from the compiler-known protocol list now, but we'll defer that till things can stabilized more (in the past this protocol has been added to and removed from the list at different times). PiperOrigin-RevId: 195539436
* Remove uses of the kTransposeDot fusionGravatar Sanjoy Das2018-05-07
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | I didn't remove the enum itself, but after this change removing the enum should be a simple NFC change (famous last words!). This will make it easier to implement BatchDot on CPU. The change removes usages of kTransposeDot by: - Teaching TransposeFolding to "fuse" transposes into dots by flipping the lhs_contracting_dims/rhs_contracting_dims fields. - Replacing the notion of transpose_lhs/transpose_rhs in the IR emitters with "has a non-canonical LHS contraction dimension"/"has a non-canonical RHS contraction dimension" where the canonical LHS and RHS contraction dims [0] are 1 and 0. Some tests were getting away with creating Dot instructions with their dimensions numbers unset. I've fixed these to create canonical dot operations instead. It is possible (but hard to tell without trying) that some of the IR emission logic and Eigen runtime calls can now be simplified further. For instance, instead of passing in a `transpose_lhs` and `transpose_rhs` to the Eigen GEMM routines, we could instead pass in the LHS and RHS contraction dimensions directly. [0] See HloInstruction::CreateCanonicalDot. PiperOrigin-RevId: 195514907
* Fix landscape layout.Gravatar Shashi Shekhar2018-05-07
| | | | PiperOrigin-RevId: 195506194
* OVIC Benchmarker App (current without the functionality to bind to a CPU).Gravatar A. Unique TensorFlower2018-05-05
| | | | PiperOrigin-RevId: 195503895
* add support for PadV2Gravatar A. Unique TensorFlower2018-05-05
| | | | PiperOrigin-RevId: 195503894
* Checkpointable: A small utility for exempting objects from __setattr__ trackingGravatar Allen Lavoie2018-05-05
| | | | | | | | | | | Exposes it as tf.contrib.checkpoint.NoDependency. Objects wrapped in a NoDependency object get unwrapped in __setattr__ and not tracked. Removes the _save_counter dependency from tf.train.Checkpoint (the save counter is still tracked as "save_counter" and always has been, so this is a backwards-compatible dependency removal). PiperOrigin-RevId: 195502562
* GuaranteeConst is a NoOp for the op_level_cost_estiamtor.Gravatar Max Galkin2018-05-05
| | | | PiperOrigin-RevId: 195501990
* Internal ChangeGravatar A. Unique TensorFlower2018-05-05
| | | | PiperOrigin-RevId: 195501342
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