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* Allow setting a global override for the "allow_growth" GPU option via the ↵Gravatar A. Unique TensorFlower2018-09-19
| | | | | | TF_FORCE_GPU_ALLOW_GROWTH environment variable. PiperOrigin-RevId: 213728460
* Merge pull request #21114 from yongtang:07242018-CudnnRNNParamsSizeGravatar TensorFlower Gardener2018-09-19
|\ | | | | | | PiperOrigin-RevId: 213726710
* | Add VerifiedHloModule class.Gravatar Mark Heffernan2018-09-19
| | | | | | | | | | | | | | | | VerifiedHloModule is derived from HloModule and verifies itself on destruction. This is designed to be used in HloVerifiedTestBase. This replaces the current mechanism which verifies HloModules in the TearDown method. The VerifiedHloModule approach is cleaner (less state on the test object) and more capable because these verified HLO modules can be passed to methods which require taking ownership of the module (eg, HlotestBase::Execute). This change required some changes to the parser which enables constructing the parsed HloModule into an already allocated HloModule. Some trivial changes to HloModule are required as well. PiperOrigin-RevId: 213718126
* | [XLA] Add R2 strided slice test.Gravatar Michael Kuperstein2018-09-19
| | | | | | | | PiperOrigin-RevId: 213718019
* | Go: Update generated wrapper functions for TensorFlow ops.Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | PiperOrigin-RevId: 213716034
* | This CL adds a new `tf.print` operator that more closely aligns with the ↵Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | standard python `print` method, and deprecates the old `tf.Print` operator (to be removed in in v2.0). It follows the design doc specified in https://github.com/tensorflow/community/pull/14 and additionally incorporates the community feedback and design review decisions. This CL adds two new internal graph operators: a StringFormat operator that formats a template string with a list of input tensors to insert into the string and outputs a string scalar containing the result, and a PrintV2 operator that prints a string scalar to a specified output stream or logging level. The formatting op is exposed at `tf.strings.Format`. A new python method is exposed at `tf.print` that takes a list of inputs that may be nested structures and may contain tensors, formats them nicely using the formatting op, and returns a PrintV2 operator that prints them. In Eager mode and inside defuns this PrintV2 operator will automatically be executed, but in graph mode it will need to be either added to `sess.run`, or used as a control dependency for other operators being executed. As compared to the previous print function, the new print function: - Has an API that more closely aligns with the standard python3 print - Supports changing the print logging level/output stream - allows printing arbitrary (optionally nested) data structures as opposed to just flat lists of tensors - support printing sparse tensors - changes printed tensor format to show more meaningful summary (recursively print the first and last elements of each tensor dimension, instead of just the first few elements of the tensor irregardless of dimension). PiperOrigin-RevId: 213709924
* | Boosted trees: Add error messages when tree complexity parameter is not ↵Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | properly set. PiperOrigin-RevId: 213706101
* | Create a steps_per_run variable to be updated correctly in the fit loop to ↵Gravatar Sourabh Bajaj2018-09-19
| | | | | | | | | | | | make sure we run fit for the right number of steps. PiperOrigin-RevId: 213706042
* | Allow the tape tensor to have unknown shapes.Gravatar Akshay Modi2018-09-19
| | | | | | | | | | | | This is done by making the TapeTensor a template rather than a concrete struct. PiperOrigin-RevId: 213700425
* | Add min/max version for depthwise conv.Gravatar Suharsh Sivakumar2018-09-19
| | | | | | | | PiperOrigin-RevId: 213698663
* | Added ABSL_DEPRECATED annotations to various deprecated TensorFlow functions.Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | PiperOrigin-RevId: 213693027
* | Remove LOG(INFO) in MetaOptimizer:Optimize as this currently produces a ↵Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | | | | | | | | | | | | | | | | | large number of debugging outputs in the INFO log that look like: I0917 16:20:11.073992 9191 meta_optimizer.cc:334] Starting optimization for grappler item: tf_graph I0917 16:20:11.079458 9191 meta_optimizer.cc:334] Starting optimization for grappler item: tf_graph I0917 16:20:11.084827 12447 meta_optimizer.cc:334] Starting optimization for grappler item: tf_graph I0917 16:20:11.089359 12447 meta_optimizer.cc:334] Starting optimization for grappler item: tf_graph After this change those lines will simply no longer appear. RELNOTES: n/a PiperOrigin-RevId: 213690759
* | [tf.data] MapVectorization optimization: C++ conversion framework to ↵Gravatar Rachel Lim2018-09-19
| | | | | | | | | | | | vectorize a MapDefun function. Also implements conversion for two ops: Cast and Unpack. PiperOrigin-RevId: 213686720
* | Fixes bits/bytes unit error in comment.Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | PiperOrigin-RevId: 213684048
* | Remove the CHECK added for debugging.Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | PiperOrigin-RevId: 213681549
* | Two improvements in resolve_tensorflow_matmul:Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1. Before inserting a new Transpose node, check if there already is one that may be reused. In practice, there are two cases: either the array being transposed is a constant (by far the most common case) or it's not. * If it is constant, then this doesn't really make a difference: ResolveConstantTranspose runs anyway, eliminating these Transpose nodes and also mootifying this change as it leaves no Transpose node to be reused. So in that case, constant-array-deduping is really the only thing that prevents duplication of data. * If it is not constant, that's where this new logic really helps, as the resulting Transpose nodes are here to stay in the final graph, and this avoids inserting more than are needed. 2. transpose_a is not supported. However, rather than CHECK-fail, it's more useful to have this graph transformation bail with a log message. The resulting 'unresolved' MatMul node could still be handled in some way at the TFLite level, or we could end up having support for MatMul per se. PiperOrigin-RevId: 213678294
* | Fixes in ResolveReorderAxes.Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | The main issue is we were keeping the input array, updating it in place and discarding the output array. That was a problem when the input array had multiple consumer ops. Now we're keeping the output array instead, which is the correct thing to do. However, in order to minimize disruption, we keep using the input array's name whenever possible, by means of some array renamings. PiperOrigin-RevId: 213678219
* | Simplify ir_emitter_unnested so that it doesn't take a look at convGravatar Tim Shen2018-09-19
| | | | | | | | | | | | | | custom call and try to understand what's inside. convolution_thunk does it anyway. PiperOrigin-RevId: 213676051
* | Adds an experimental package group to allow Swift and ObjC targets to depend ↵Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | on the "c_api" target. PiperOrigin-RevId: 213673549
* | Convert more kernel signatures to use runtime shapes.Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | PiperOrigin-RevId: 213673402
* | [XLA:TF] Re-disable testRandomUniformIsInRangeGravatar Benjamin Kramer2018-09-19
| | | | | | | | | | | | The bug is still there and makes this test flakily fail with fp16. PiperOrigin-RevId: 213669453
* | Remove non-determinism in model-parallel compilationGravatar HyoukJoong Lee2018-09-19
| | | | | | | | PiperOrigin-RevId: 213667385
* | Re-enable flaky keras_testGravatar Anjali Sridhar2018-09-19
| | | | | | | | PiperOrigin-RevId: 213665390
* | Add a space to the error message.Gravatar Amit Patankar2018-09-19
| | | | | | | | PiperOrigin-RevId: 213661062
* | Python interface for Boosted Trees model explainability (currently includes ↵Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | directional feature contributions); fixed ExampleDebugOutputs bug where it errors with empty trees. PiperOrigin-RevId: 213658470
* | Enable large constant array deduping by default.Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | | | If this causes trouble (makes graph visualizations harder to read, etc) then consider increasing the default value of dedupe_array_min_size_bytes. PiperOrigin-RevId: 213656796
* | Fix documentation markdownGravatar A. Unique TensorFlower2018-09-19
| | | | | | | | PiperOrigin-RevId: 213655969
* | Force-place embedding variables on CPUs ein eager mode.Gravatar Alexandre Passos2018-09-19
| | | | | | | | | | | | | | | | This avoids problems which happen because most optimizers do not have sparse updating gpu kernels implemented. Fixes #22042 PiperOrigin-RevId: 213654354
* | Return error message with illegal input rather than check-failing in op_kernel.Gravatar Jacques Pienaar2018-09-19
| | | | | | | | PiperOrigin-RevId: 213653853
* | Merge pull request #21000 from ↵Gravatar TensorFlower Gardener2018-09-19
|\ \ | | | | | | | | | | | | | | | ROCmSoftwarePlatform:upstream-staging-gpu-common-runtime-1 PiperOrigin-RevId: 213653830
* | | Fix estimator_training test flakiness.Gravatar Yuefeng Zhou2018-09-19
| | | | | | | | | | | | PiperOrigin-RevId: 213653403
* | | Convert more kernel signatures to use runtime shapes.Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | PiperOrigin-RevId: 213651158
* | | [XLA:CPU] Add an emitter for erfinv(double) and erfinv(half).Gravatar Benjamin Kramer2018-09-19
| | | | | | | | | | | | | | | | | | | | | This is used by the random number generator. Same algorithm as for float, just with more precision. fp16 is upcasted to fp32 and then processed with the float algorithm. PiperOrigin-RevId: 213648736
* | | Merge pull request #22301 from jennynz:masterGravatar TensorFlower Gardener2018-09-19
|\ \ \ | | | | | | | | | | | | PiperOrigin-RevId: 213648091
* | | | Convert more kernel signatures to use runtime shapes.Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | | | | | PiperOrigin-RevId: 213640434
* | | | Add build rules for mnist_softmax_xla.py so it can work internally.Gravatar Guangda Lai2018-09-19
| | | | | | | | | | | | | | | | PiperOrigin-RevId: 213637804
* | | | Treat kDomain instruction as a pure pass-through in HloValueGravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | | | | | | | | | | | | | | | | | It doesn't access the data in any way similarly to kTuple so it should be handled the same way. PiperOrigin-RevId: 213630620
* | | | Automated rollback of commit 9fe177881224571aff0c267593f747f5fd7a2967Gravatar Rohan Jain2018-09-19
| | | | | | | | | | | | | | | | PiperOrigin-RevId: 213630404
* | | | Add interface for HLO passes which run on HloModuleGroup.Gravatar Mark Heffernan2018-09-19
| | | | | | | | | | | | | | | | | | | | | | | | Derive HloModulePass and HloModuleGroupPass from HloPassInterface which run module-scoped and module-group-scoped respectively. Replace all existing uses of HloPassInterface with HloModulePass because all existing passes are module-scoped. Also rewrite HloPassPipeline to support both module-scoped and module-group-scoped passes. PiperOrigin-RevId: 213629604
* | | | Enable while_test for the GPU backend.Gravatar Adrian Kuegel2018-09-19
| | | | | | | | | | | | | | | | PiperOrigin-RevId: 213618350
* | | | Distributions should raise the original exception (log_prob not implemented) ↵Gravatar Brian Patton2018-09-19
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | instead of the fallback exception (prob not implemented). Additionally, in a nested structure of transformed distributions, it can be useful to know which distribution is raising this error. PiperOrigin-RevId: 213618306
* | | | [TF:XLA] Enable ClipByValue test for integer typesGravatar Benjamin Kramer2018-09-19
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This has been fixed a while ago. Even though TF allows ClipByValue for complex types it's not implemented anywhere (and it doesn't make sense for complex numbers) so blacklist complex types. PiperOrigin-RevId: 213615429
* | | | Enable tests for CPU and GPU backends that involve XlaSort.Gravatar Adrian Kuegel2018-09-19
| | | | | | | | | | | | | | | | PiperOrigin-RevId: 213611371
* | | | jacobian: manually setting the output shape in the output.Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | | | | | PiperOrigin-RevId: 213610324
* | | | Run CPU tests remotely.Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Being able to run CPU tests remotely while running GPU tests locally required multiple changes: 1. Unify how we tag GPU tests in TF; we now always use tf_cuda_tests_tags(). 2. Tag tests using tf_cuda_tests_tags() with 'local' and 'gpu'; this makes them not run on non-gpu builds and always runs them locally. PiperOrigin-RevId: 213601626
* | | | compat: Update forward compatibility horizon to 2018-09-19Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | | | | | PiperOrigin-RevId: 213595705
* | | | Enable XlaSort and TopKV2 for CPU backend.Gravatar Adrian Kuegel2018-09-19
| | | | | | | | | | | | | | | | PiperOrigin-RevId: 213595499
* | | | Replace DLOG(FATAL) with an Unimplemented error.Gravatar Adrian Kuegel2018-09-19
| | | | | | | | | | | | | | | | | | | | | | | | In tensorflow we don't have DLOG, and we should not use LOG(FATAL). PiperOrigin-RevId: 213595376
* | | | Implement sort op for CPU.Gravatar Adrian Kuegel2018-09-19
| | | | | | | | | | | | | | | | | | | | | | | | Also don't allow parallelization for the sort op in parallel_task_assignment. PiperOrigin-RevId: 213592046
* | | | Modify Timeline Analysis to consider allocations in order.Gravatar A. Unique TensorFlower2018-09-19
| | | | | | | | | | | | | | | | PiperOrigin-RevId: 213589710
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