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* Updating gpu toolchainGravatar A. Unique TensorFlower2017-10-23
| | | | PiperOrigin-RevId: 173207602
* Add a BUILD file for makefile build.Gravatar Gunhan Gulsoy2017-10-20
| | | | PiperOrigin-RevId: 172933558
* Removing custom CROSSTOOL and BUILD file for TF cpu builds as they are ↵Gravatar A. Unique TensorFlower2017-10-13
| | | | | | redundant now that bazel-toolchains repo is live PiperOrigin-RevId: 172113861
* Fix S3 BUILD not including files explicitly.Gravatar Michael Case2017-10-10
| | | | | | This causes remote builds to fail since they AWS headers were missing. PiperOrigin-RevId: 171718021
* Merge changes from github.Gravatar Frank Chen2017-10-06
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PiperOrigin-RevId: 171075449 --- Commit 89aaac4bc authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allow Layer.add_update() in Eager mode. PiperOrigin-RevId: 171070861 --- Commit 840dcae57 authored by Amit Patankar<amitpatankar@google.com> Committed by gunan<gunan@google.com>: Updating the install sources file with a supported configs table (#13450) * Updating the install sources file with a supported configs page. * Implementing Gunan's suggestions. * Adding GCC string to Linux compiler. * Updating the bazel/cmake column. --- Commit 89df2e336 authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add the 'is_the_final_export' signal to Exporters. Use them in training. When the training ends, the final export is performed via `Exporter.export()` call. That final export is going to have is_the_final_export parameter being set to true. If `TrainSpec.max_steps` is `None`, then "when training ends" is undefined. We are going to train forever. In that case, `is_the_final_export` is going to be always False. I added a note about it. PiperOrigin-RevId: 171070760 --- Commit 4486b4f69 authored by Akshay Agrawal<akshayka@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make graph_callable compatible with functions that do not return anything PiperOrigin-RevId: 171067061 --- Commit 39565c0cb authored by Martin Wicke<wicke@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Publish train_and_evaluate and associated classes. PiperOrigin-RevId: 171066379 --- Commit 3b4477000 authored by Saurabh Saxena<srbs@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make VariantTensorData::tensors_size() const. PiperOrigin-RevId: 171063397 --- Commit 53cc63a2d authored by Dhananjay Nakrani<dhananjayn@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [part 1] Add support for int32 & int64 in RandomPoissonOp. This computes int32/int64-precision poisson samples with double precision intermediate calculations (same as it's done for `half`) respectively. part 2 will switch over python calls to new op once forward compatibility period has passed. PiperOrigin-RevId: 171058336 --- Commit 70fc9bf9b authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Java: Add support for loading op libraries dynamically. This change adds the equivalent of tf.load_op_library in Python to Java. (https://github.com/tensorflow/tensorflow/commit/5c7f9e316d8c7735308a217310350d416d7498cc was required to make this possible) Though, TensorFlow.loadLibrary() is likely to fail on Windows as symbols required by custom op libraries (those exported by the tensorflow_framework library) are not exported by the monolithic JNI library yet. This should help with #10454 and #13476 PiperOrigin-RevId: 171054707 --- Commit e7c53698e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal cleanup PiperOrigin-RevId: 171053770 --- Commit cc8ee6c0f authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fast path for tf.conj when it should be pass-through. PiperOrigin-RevId: 171053662 --- Commit c41dbc3c1 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Adding TF Boosted trees regression example on boston dataset, minor fix for mnist example. PiperOrigin-RevId: 171052367 --- Commit d66e77f7c authored by Mustafa Ispir<ispir@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Added get variable utils to tf.estimator.Estimator. PiperOrigin-RevId: 171052121 --- Commit 083bd5dde authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Java: Add support for loading op libraries dynamically. This change adds the equivalent of tf.load_op_library in Python to Java. (https://github.com/tensorflow/tensorflow/commit/5c7f9e316d8c7735308a217310350d416d7498cc was required to make this possible) Though, TensorFlow.loadLibrary() is likely to fail on Windows as symbols required by custom op libraries (those exported by the tensorflow_framework library) are not exported by the monolithic JNI library yet. This should help with #10454 and #13476 PiperOrigin-RevId: 171054707 --- Commit 2fe6cf285 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal cleanup PiperOrigin-RevId: 171053770 --- Commit 15155493b authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fast path for tf.conj when it should be pass-through. PiperOrigin-RevId: 171053662 --- Commit 6c954d0b3 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Adding TF Boosted trees regression example on boston dataset, minor fix for mnist example. PiperOrigin-RevId: 171052367 --- Commit ad69076eb authored by Mustafa Ispir<ispir@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Added get variable utils to tf.estimator.Estimator. PiperOrigin-RevId: 171052121 --- Commit 3cf41b2ed authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Test save/restore variable from graph_callable. PiperOrigin-RevId: 171051237 --- Commit cf17ec96e authored by Yangzihao Wang<yangzihao@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add V2 versions of output window size computation functions for convolution. These V2 versions take arbitrary dilation rates. In preparation for the support of native cudnn dilated convolution. PiperOrigin-RevId: 171048878 --- Commit 491584ff4 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: eager: Always run dataset iterator operations on CPU. It has no kernels for other devices. With an explicit "tf.device()" before invoking the kernel we ensure that Iterator.next() functions even when placed inside a: with tf.device("/device:GPU:0") PiperOrigin-RevId: 171048558 --- Commit 3b354016e authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Rename SavedModelExporter to LatestExporter. PiperOrigin-RevId: 171048345 --- Commit 943c6d7af authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: errors out if the evaluator has task id > 0. PiperOrigin-RevId: 171047652 --- Commit 8c9ef4466 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Expand set of 64-bit type tests in LocalClientExecuteTest.ShapeBufferToLiteralConversion64bit and factor out into their own test. PiperOrigin-RevId: 171043047 --- Commit cc521eb06 authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Place all the nodes created by the trivial_test_graph_input_yielder PiperOrigin-RevId: 171045878 --- Commit 9b9301240 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA:CPU] Factor out parallel task assignment from cpu parallelization prep (no functional changes). PiperOrigin-RevId: 171045137 --- Commit 558d878d9 authored by Allen Lavoie<allenl@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: TFTS: Move normalization to the base class, start using it for state space models Preivously, state space models adjusted their priors based on the data (e.g. setting initial variances to match sample variance) but did not normalize the data itself. When the data has a rather extreme scale, this runs into precision issues. After this CL, state space models will first normalize, then use adjusted statistics on top of that normalization to estimate initial observation/transition noise. Also fixes an issue where start-of-series statistics were incorrect for the first batch (which only shows up with large input scales). PiperOrigin-RevId: 171044863 --- Commit 266f77156 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Expand set of 64-bit type tests in LocalClientExecuteTest.ShapeBufferToLiteralConversion64bit and factor out into their own test. PiperOrigin-RevId: 171043047 --- Commit c9915d1a2 authored by Shanqing Cai<cais@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf-signal] Fix pip tests by including test_util in signal_py PiperOrigin-RevId: 171042732 --- Commit f8550f4e9 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Expand set of 64-bit type tests in LocalClientExecuteTest.ShapeBufferToLiteralConversion64bit and factor out into their own test. PiperOrigin-RevId: 171043047 --- Commit 87dc532cd authored by Shanqing Cai<cais@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf-signal] Fix pip tests by including test_util in signal_py PiperOrigin-RevId: 171042732 --- Commit 0578dd65e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add more debugging output for XLA send/recv. PiperOrigin-RevId: 171041978 --- Commit 23992bb09 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Several minor documentation fixes. PiperOrigin-RevId: 171038610 --- Commit af14ed3f3 authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Some docstring twists and argument validations. PiperOrigin-RevId: 171037949 --- Commit 6b90a65f6 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove "hybrid" HloModuleConfig option. The option was used to generate executables which only generated the array values of tuple-shaped outputs, not the tuple index tables.. With cl/170133015, ShapedBuffers which hold the computation output now have materialized tuples with these index tables so this option is no longer desired or necessary. No functional change. Just cleanup. PiperOrigin-RevId: 171035738 --- Commit 41a0264ab authored by Mustafa Ispir<ispir@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Added utilities to make global step reading deterministic. Used them in Estimator. Enabled/Fixed some tests. PiperOrigin-RevId: 171035291 --- Commit 9d7843c0a authored by Skye Wanderman-Milne<skyewm@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add optional unused_input_map_keys output param to ImportGraphDef This is a more general feature than that in the Python importer, which raises an exception if the input map contains unused names. PiperOrigin-RevId: 171029316 --- Commit 4f10a6597 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add vlogging of HloModule before and after fusion. PiperOrigin-RevId: 171029054 --- Commit 9e658545a authored by Reed Wanderman-Milne<reedwm@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Document what dtype tf.image.resize_images returns. For consistency, tf.image.resize_images now will always return a float32 when method != ResizeMethod.NEAREST_NEIGHBOR. Before, it returned the same dtype as its input if it could be determined statically that the height and width would not be changed. PiperOrigin-RevId: 171028825 --- Commit 4d70239f0 authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Replace the contrib FC with core FC in canned Estimator docstring. PiperOrigin-RevId: 171027602 --- Commit 6a1b867ff authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Adds the docstring with details for tf.estimator.train_and_evaluate PiperOrigin-RevId: 171027527 --- Commit 7209c1602 authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Mark IdentityN as CompilationOnly(). PiperOrigin-RevId: 171025171 --- Commit 8e22eb874 authored by FAIJUL<md.faijul.amin@intel.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Eigen BiasAdd and BiasAddGrad Fix for NCHW Format. (#13158) --- Commit 7db7a890c authored by Jingyue Wu<jingyue@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [Grappler] Move InferOutputShapes to GraphProperties. So it can be used by other optimizers. No functional changes. PiperOrigin-RevId: 171010106 --- Commit 2114fd51e authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Improve numerical stability of SoftPlus. PiperOrigin-RevId: 171003559 --- Commit 727d6270f authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix race condition in TensorForest tree traversal. PiperOrigin-RevId: 170990425 --- Commit d016cb020 authored by Suharsh Sivakumar<suharshs@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix c++ gradients issue where multiple dependent outputs result in incorrect answer. The issue is that we incorrectly calculate the pending num_expected_backprops for outputs nodes when one output transitively depends on another. this is because we use output nodes as an indicator of when we need to end our traversal. Instead we should only use output nodes that don't transitively get consumed by other output nodes as end indicators for our traversal. This change implements that fix. Fixes #13190 PiperOrigin-RevId: 170971937 --- Commit 5405f3bd7 authored by gunan<gunan@google.com> Committed by Frank Chen<frankchn@gmail.com>: Fix tf-signal tests on pip packages. (#13483) --- Commit f9f037c1c authored by Eugene Brevdo<ebrevdo@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Bugfix to LSTMBlockCell and friends: clipping is off by default. * Rename broken API argu clip_cell boolean to cell_clip value. * Make default no clipping. PiperOrigin-RevId: 170960975 --- Commit bfaaefa9e authored by Frank Chen<frankchn@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update APIs for TPU Cluster Resolver to remove the custom API definition and instead use a standard definition file stored in GCS. PiperOrigin-RevId: 170960877 --- Commit c31c118a3 authored by Ian Langmore<langmore@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Extend tf.contrib.bijector API to handle some non-injective transforms. AbsoluteValue Bijector added to contrib/distributions/bijectors/ TransformedDistribution udpated to handle some non-injective transforms. PiperOrigin-RevId: 170960054 --- Commit 664dd0859 authored by Frank Chen<frankchn@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Disable cluster_function_library_runtime_test on Mac OS as it is currently failing with an Unimplemented error PiperOrigin-RevId: 170958505 --- Commit 6af7ab97a authored by Mahmoud Abuzaina<mahmoud.abuzaina@intel.com> Committed by gunan<gunan@google.com>: MKL-DNN open source integration. (#13135) * MKL-DNN conv and build integration * Adding new files that were mistakenly missing from the PR * Minor change in the pip package build file * Added missing #include * Fixed a linking failure when running the bazel test * Fixing BUILD file format * Using -fopenmp for building mkl_dnn only when running on linux * Fixing build rule attribute value * Removing unnecessary deps from mkl test rule * Removed deps on mkl-dnn when not building with --config=mkl --- Commit 93fa1af76 authored by Akshay Agrawal<akshayka@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make graph_callable, defun tf_decorators PiperOrigin-RevId: 170948777 --- Commit b39525785 authored by Mustafa Ispir<ispir@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Added comment re:behavior of listener in case of multiple saver hooks. PiperOrigin-RevId: 170946536 --- Commit de14fcbb6 authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Support evaluation in `_TrainingExecutor.run_master()`. This CL aims to address the following TODO: # TODO(b/66720832): Once listener API is added into Estimator.train, the # eval and export process should be wrapped as a listener and passed to # _start_distributed_training. The expected behavior should be # 1. The export is invoked after each intermediate evaluation. # 2. The evaluation and export should be invoked correctly at the end of # training. This should be fine if the listener works as intended (it will # send the `after_save` signal for the final ckpt saving). 1. is achieved as follows: a. saving_evaluators are added to the CheckpointSaverHook's listeners inside the Estimator. b. MonitoredSession calls after_run() of CheckpointSaverHook, which in turn calls after_save on the listeners. 2. is achieved in a similar way, but when MonitoredSession calls .end() on CheckpointSaverHook. PiperOrigin-RevId: 170945961 --- Commit d4ea993ca authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Removes unnecessary eager-mode call to convert_to_tensor in record_gradient. PiperOrigin-RevId: 170944265 --- Commit add6d2d03 authored by RJ Ryan<rjryan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf-signal] Use tf.spectral.dct in mfccs_from_log_mel_spectrograms instead of a private implementation. PiperOrigin-RevId: 170943986 --- Commit b959da92f authored by Jiri Simsa<jsimsa@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixing CPU implementation of parallel_stack for tensors with non-zero rank. PiperOrigin-RevId: 170942814 --- Commit 4cf61262a authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Improve TFGAN documentation. PiperOrigin-RevId: 170940188 --- Commit 0068086b9 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Introduce `tf.data` namespace. PiperOrigin-RevId: 170939033 --- Commit 0c8dbc1fd authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: matmul uses shape_tuple internally PiperOrigin-RevId: 170938790 --- Commit ad37fa81f authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Refactor ExportStrategies into Exporters. This design eliminates some indirection. Instead of combining an `export_fn` with `make_export_strategy` call to arrive at an ExportStrategy that is going to call the supplied `export_fn` inside its `export` call with Exporters one just defines the `export` call in an Exporter. PiperOrigin-RevId: 170936640 --- Commit b925f8553 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fast-path for EagerTensorBase.dtype PiperOrigin-RevId: 170933005 --- Commit 08e266d9b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Pass activity_regularizer to __init__ instead of using the (now deprecated) property setter. PiperOrigin-RevId: 170932807 --- Commit b002c8b7d authored by Jingyue Wu<jingyue@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [Grappler] Fold chains of reshapes. Reshape(Reshape(input, shape1), shape2) is equivalent to Reshape(input, shape2). PiperOrigin-RevId: 170932278 --- Commit 075d1d13b authored by horance<horance@aliyun.com> Committed by Frank Chen<frankchn@gmail.com>: remove warning for forward decl (#13459) --- Commit 931609fcf authored by Ryohei Kuroki<ryohei.kuroki@gmail.com> Committed by Frank Chen<frankchn@gmail.com>: Remove unnecessary specification for default kernel name (#13465) --- Commit 94463f521 authored by Akshay Agrawal<akshayka@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Preserve target function signature in custom_gradient decorator PiperOrigin-RevId: 170931715 --- Commit 681056636 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal change to simplify prediction ops. - it no longer returns predictions_no_dropout, which is mostly for debugging purpose. - as a consequence, MultipleAdditiveTrees::Predict() doesn't return prediction_no_dropout, and it accept trees_to_include indexes intead of trees_to_drop indexes. PiperOrigin-RevId: 170926422 --- Commit d6e963b82 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: SYCL: Fix build breakage introduced in https://github.com/tensorflow/tensorflow/commit/f0e8c545e0196b8b48ce0ad0f116df97d980d1f1 Fixes #13350 PiperOrigin-RevId: 170923862 --- Commit 5123f2971 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal cleanup. PiperOrigin-RevId: 170922297 --- Commit d0c76cd18 authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Handle the absence of a fresh eval checkpoint in `run_local`. It is ~unexpected condition for an eval checkpoint to not be available after a train call to the estimator. There is a corner case when it is possible, but that's going to be resolved soon. This case is handled for continuous (distributed) evaluation differently. Instead of erroring out, we skip evaluation runs. That behavior is captured in the `test_skip_evaluation_due_to_ckpt` test. PiperOrigin-RevId: 170919925 --- Commit 435b31b9f authored by Gunhan Gulsoy<gunan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 170892257 PiperOrigin-RevId: 171321707
* Add a Cython build dependency, start using some Cython tensor utilitiesGravatar Allen Lavoie2017-10-05
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* Merge changes from github.Gravatar Shanqing Cai2017-09-25
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit 1e1b3d902 authored by Pete Warden<pete@petewarden.com> Committed by gunan<gunan@google.com>: Changed output directory for Pi CI build to fix permissions problem with nightlies (#13257) * Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change for Pi that's no longer needed * Fixed Pi Zero OpenBLAS build problems and tidied up directories used * More robust checks in Pi build script * Changed output directory for Pi CI build to fix permissions problem --- Commit fe3a2e65c authored by Yan Facai (???)<facai.yan@gmail.com> Committed by drpngx<drpngx@users.noreply.github.com>: check invalid string type for dest_nodes in extract_sub_graph (#13057) * BUG: check str type * TST: add unit test * CLN: remove list check * CLN: use warning * CLN: 2 indent * CLN: raise TypeError if not list * CLN: check string only --- Commit 225ab7629 authored by Jean Wanka<jm.wanka@gmail.com> Committed by Jean Wanka<jm.wanka@gmail.com>: Fix polynomial decay with cycle for global step=0 For polynomial decay with cycle=True the learning rate at step 0 becomes NaN, because in the process of calculating it we devide by 0. This change should fix it, by setting the multiplier for the decay steps to one for global_step=0. --- Commit 286f57061 authored by Bjarke Hammersholt Roune<broune@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make Service::TransferToClient not attempt to manipulate the literal when the transfer failed, preventing a crash and allowing the caller to see the reason for the failed transfer. PiperOrigin-RevId: 169770126 --- Commit e0501bc4d authored by Yong Tang<yong.tang.github@outlook.com> Committed by Shanqing Cai<cais@google.com>: Fix GRUBlockCell parameter naming inconsistency (#13153) * Fix GRUBlockCell parameter naming inconsistency This fix tries to fix the issue in 13137 where parameter `cell_size` is used instead of `num_units`. This is inconsistent with other RNN cells. This fix adds support of `num_units` while at the same time maintains backward compatiblility for `cell_size`. This fix fixes 13137. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add `@deprecated_args` for 'cell_size' in `GRUBlockCell` This commit adds `@deprecated_args` for 'cell_size' in `GRUBlockCell` Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Address review comment Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 02a2eba05 authored by Pete Warden<pete@petewarden.com> Committed by gunan<gunan@google.com>: Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change that's no longer needed (#13251) * Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change for Pi that's no longer needed * Fixed Pi Zero OpenBLAS build problems and tidied up directories used * More robust checks in Pi build script --- Commit 8ef722253 authored by Sanjoy Das<sanjoy@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove a redundant setName. The EmitComputation should have emitted a function with the right name, so use a CHECK instead. PiperOrigin-RevId: 169764856 --- Commit 1b94147dc authored by Neal Wu<wun@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix broken GitHub links in tensorflow and tensorflow_models resulting from The Great Models Move (a.k.a. the research subfolder) PiperOrigin-RevId: 169763373 --- Commit b1ada5f0c authored by Justine Tunney<jart@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix TensorBoard python -m invoke in docs PiperOrigin-RevId: 169758752 --- Commit 2957cd894 authored by Mustafa Ispir<ispir@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Local run option of estimator training. PiperOrigin-RevId: 169756384 --- Commit 1dc2fe7ac authored by Gunhan Gulsoy<gunan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 166264198 PiperOrigin-RevId: 169998124
* Internal changesGravatar Shanqing Cai2017-09-24
| | | | PiperOrigin-RevId: 169860974
* Remove RTLD_GLOBAL when loading pywrap_tensorflowGravatar Allen Lavoie2017-09-21
| | | | | | | | | | | | | | Splits out a shared object (//tensorflow/libtensorflow_framework.so) with core TensorFlow functionality but neither ops nor kernels. This object does include registries for ops, kernels, filesystems, etc. The expectation is that shared objects containing custom ops will have a runtime dependency on this framework shared object: TensorFlow will load the custom op shared object, and the custom op shared object will use the symbols from the framework shared object to register its ops/kernels/etc. rather than (as before this change) relying on those symbols being in the global symbol table. In this mode, TensorFlow artifacts (_pywrap_tensorflow.so for Python, libtensorflow.so for the C API; currently excluding Android artifacts) will depend on the framework shared object, which will be packaged with the Python pip package and other language distributions. This means that custom ops targeting the framework shared object will work in any language (C++, Java, Go; previously custom ops in these languages required custom Bazel builds). Adds a config option which reproduces the old behavior (--config=monolithic), which for Python means building a monolithic pywrap_tensorflow shared object and loading its symbols into the global symbol table (with RTLD_GLOBAL). As before, there will be no extra-Bazel custom op support for other languages when compiling in this mode. Does not change behavior on Windows; the cmake build is still monolithic. Requires using tf_cc_binary, tf_cc_test, and (rarely) tf_cc_shared_object rules to link in the framework shared object when adding new TensorFlow build rules. PiperOrigin-RevId: 169572746
* Adding missing deps to targets in llvm.BUILD. This was only working in ↵Gravatar A. Unique TensorFlower2017-09-19
| | | | | | non-sandboxed builds. PiperOrigin-RevId: 169271809
* Generate dummy crosstool_wrapper_driver_is_not_gcc with cuda clang ↵Gravatar A. Unique TensorFlower2017-09-19
| | | | | | configuration so that it is possible to build bazel build @local_config_cuda//... PiperOrigin-RevId: 169237265
* Add -D__STDC_FORMAT_MACROS to all C++ source file compilations.Gravatar A. Unique TensorFlower2017-09-13
| | | | | | This is intended to address #12998 PiperOrigin-RevId: 168585206
* Merge changes from github.Gravatar A. Unique TensorFlower2017-09-06
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit 607816029 authored by Eugene Brevdo<ebrevdo@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Extended ScratchSpace to expose its underlying scratch tensor object. PiperOrigin-RevId: 167649551 --- Commit db43fe68e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add fast math attributes to all generated methods when fast math enabled. RELNOTES: n/a PiperOrigin-RevId: 167646637 --- Commit aebe8cc6f authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Call HloComputation.Accept instead of HloInstruction.Accept to get all instructions profiled. RELNOTES: n/a PiperOrigin-RevId: 167640259 --- Commit 0ab137cd8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 167604306 PiperOrigin-RevId: 167800256
* Merge changes from github.Gravatar Martin Wicke2017-09-02
| | | | PiperOrigin-RevId: 167401527
* Fixed errors in GPU crosstool in cuda_clang mode.Gravatar A. Unique TensorFlower2017-08-31
| | | | | | | The source of errors is that 'crosstool_wrapper_driver_is_not_gcc' was not included in the GPU crosstool, but was still listed in build dependencies. PiperOrigin-RevId: 167107311
* SQL reader op is still in progress. Currently only supports sqlite3 and onlyGravatar A. Unique TensorFlower2017-08-25
| | | | | | supports queries of text-valued columns. PiperOrigin-RevId: 166544839
* Cross-compile OpenBLAS for Pi ZeroGravatar Pete Warden2017-08-25
| | | | PiperOrigin-RevId: 166533251
* Create configuration for py3 for testing remote buildsGravatar A. Unique TensorFlower2017-08-17
| | | | PiperOrigin-RevId: 165626932
* Switch to using googletest BUILD file.Gravatar Gunhan Gulsoy2017-08-16
| | | | PiperOrigin-RevId: 165545114
* Merge changes from github.Gravatar A. Unique TensorFlower2017-08-15
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit 9f81374c3 authored by raymondxyang<zihao.yang@microsoft.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Add option for build more python tests in Cmake (#11853) * Ignore Windows built project * Fix deprecated methods in tf.contrib.python * Fix regex match for Windows build in contrib.keras * Fix Regex match for Windows build in session_bundle * * Fix deprecated methods * Fix regex match for Windows * Fix compatibility issue with Python 3.x * Add missing ops into Windows build for test * Enabled more testcases for Windows build * Clean code and fix typo * Add conditional cmake mode for enabling more unit testcase * Add Cmake mode for major Contrib packages * Add supplementary info in RAEDME for new cmake option * * Update tf_tests after testing with TF 1.3 * Clean code and resolve conflicts * Fix unsafe regex matches and format code * Update exclude list after testing with latest master branch * Fix missing module --- Commit 98f0e1efe authored by Yong Tang<yong.tang.github@outlook.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Dynamic ksize and strides with MaxPool (#11875) * Dynamic ksize with max_pool This fix tries to fix the issue raised in 4746 where ksize is static (attr) with max_pool. This fix changes ksize to input tensor so that it is dynamic now. This fix fixes 4746. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add dynamic ksize to MaxPoolGrad and MaxPoolGradGrad Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add test cases for max_pool_v2 Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Fix GPU Jenkins issue. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Enable MaxPoolV2 in GPU Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Hide MaxPoolV2 and other fixes. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 02d6bc185 authored by Bairen Yi<byronyi@users.noreply.github.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: remove useless variable (#12212) --- Commit ed6b0d905 authored by namrata-ibm<bhavenamrata@gmail.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Adding support for s390x in calculation of cpu_frequency (#12201) --- Commit 627dfc9dd authored by Taehoon Lee<taehoonlee@snu.ac.kr> Committed by Taehoon Lee<taehoonlee@snu.ac.kr>: Fix typos --- Commit c0f9b0a91 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: In fast-math mode emit a tanh that has a faster min/max. PiperOrigin-RevId: 164943597 --- Commit 87605f3d6 authored by Kay Zhu<kayzhu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Use HloEvaluator for ComputeConstant, remove the need of a dedicated compute constant backend. PiperOrigin-RevId: 164940970 --- Commit 881de45c2 authored by Taehoon Lee<me@taehoonlee.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Add bool type supports for GPU kernels (#11927) * Add bool type supports for GPU kernels * Add bool type test codes for GPU kernels --- Commit eeacdcdb1 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add missing "CPU" suffix in registrations. PiperOrigin-RevId: 164939527 --- Commit de01be952 authored by namrata-ibm<bhavenamrata@gmail.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Adding support for Big Endian in graph_constructor_test and wav_io (#12179) --- Commit 26719d29f authored by QingYing Chen<pkudysj@126.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Implement CRF decode (Viterbi decode) for tensor (#12056) * Implement CRF decoding for tensors * add test code for tensor version's CRF decoding * made modifications according to pylint * add some comments for crf decode * remove useless code * add comments at the top comment of crf module and add more comments in crf_test * capitalize first char of first word in comments * replace crf_decode test code with a deterministic example --- Commit f9a81ca2f authored by Pete Warden<pete@petewarden.com> Committed by gunan<gunan@google.com>: Create CI build script for Raspberry Pi (#12190) * Create CI build script for Raspberry Pi * Moved location of Pi build script --- Commit e2a163a90 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Merge code from PR #11940 with internal changes from cl/164796436, and update Python tests to also run on GPU. PiperOrigin-RevId: 164929133 --- Commit 08bbfa187 authored by Taehoon Lee<me@taehoonlee.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Fix typos (#12195) --- Commit ab96f41fb authored by Luke Iwanski<luke@codeplay.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: [OpenCL] Extends matmul_benchmark.py to cover SYCL (#11697) * [OpenCL] Extends matmul_benchmark.py to cover SYCL * Fixed typo * /gpu:0 -> /device:GPU:0 * Fixes control_flow_ops_py_test * /gpu: -> /device:GPU: * Fixes //tensorflow/python/profiler/internal:run_metadata_test * gpu: -> GPU: * Fixes tfprof_node * [OpenCL] Fixes device path to name with many colons (#123) The device path is constructed from a device name by replacing all colons with underscores. Some device names contain more than one colon, for example 'device:SYCL:0' which gives a path 'device_SYCL_0'. The previous code would not convert this back to the original device name, but rather to 'device:SYCL_0'. An alternative fix would be to convert all underscores to colons in the device name (i.e. remove the restriction inside `replace("_", ":", 1)`), however I'm not sure if there are any device names which contain underscores. * If no gpu device aviable fake one * gpu: -> device:GPU * Fixes profiler test * /gpu:x -> /device:GPU:x * Fixes debug_io_utils_test.cc test * Fixes device_name_utils_test.cc --- Commit 35e7a3665 authored by Yong Tang<yong.tang.github@outlook.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Remove unneeded casting of int64 for reverse_sequence (#12192) This fix remove unneeded cast of int64 for reverse_sequence: ``` lengths = math_ops.to_int64(lengths) ``` as int32 has already been enabled for reverse_sequence. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 9fba8c185 authored by Anna R<annarev@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add benchmark dashboard link to benchmarks doc. Also, I added a link and description for Benchmarks page to Community index page. PiperOrigin-RevId: 164924906 --- Commit bb6f32fa7 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make HloAliasAnalysis updatable after changes to the HLO graph. As part of this change make HloAliasAnalysis a thinner layer which basically only holds a map from HloValue to HloBuffer and vice versa. PiperOrigin-RevId: 164923041 --- Commit 9103096c1 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by Thomas K?ppe<tkoeppe@google.com>: Merged commit includes the following changes: 164923041 by meheff: Make HloAliasAnalysis updatable after changes to the HLO graph. As part of this change make HloAliasAnalysis a thinner layer which basically only holds a map from HloValue to HloBuffer and vice versa. -- PiperOrigin-RevId: 164923041 --- Commit 822603aed authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Merging sibling fusion instruction using multi_output_fusion PiperOrigin-RevId: 164920220 --- Commit c035aa2a8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Go: Update generated wrapper functions for TensorFlow ops. PiperOrigin-RevId: 164917891 --- Commit e1e81d9ba authored by Luke Iwanski<luke@codeplay.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: [OpenCL] Fixes double memcpy bug (#151) (#12173) * [OpenCL] Fixes double memcpy bug (#151) As the debg CopyOp is called on a Tensor without type, we need to use the DataType enum to get type information, and use this to pass the type on to Eigen. This is a workaround Eigen's need to have a type when calling memcpy. If the Eigen memcpy can be provided without a type requirement, then the memcpy in sycl_util is unnecessary. * Acts on feedback from: #12173/files/32cb12a9001b672425867b5a3110fd98e737a20b#r132496277 --- Commit d9ca2d86d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal change PiperOrigin-RevId: 164916465 --- Commit b8d13d218 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove more parts of DCASGD missed in the first pass. (47949b) PiperOrigin-RevId: 164914552 --- Commit 73b3d52c7 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: cmake fix PiperOrigin-RevId: 164911656 --- Commit 2173b5b0a authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allow TFE_TensorHandleCopyToDevice to have the same device as src and destination. It will reuse the same underlying buffer in those cases. PiperOrigin-RevId: 164909906 --- Commit 13eb3b90e authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Experimental C and Python APIs to invoke TensorFlow kernels on concrete values. PiperOrigin-RevId: 164902588 --- Commit 7dfabcc01 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Initialize ExecutionOptions in ComputeConstant to default values. PiperOrigin-RevId: 164894867 --- Commit c8897e9bc authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Static required time computation PiperOrigin-RevId: 164894645 --- Commit 076158f9b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Enable implicit->explicit conversion by default. PiperOrigin-RevId: 164890915 --- Commit 58c4a4cb1 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Bugfix: number of input channels is not necessarily in the last dimension, after introduction of data_format param. PiperOrigin-RevId: 164889729 --- Commit 8f9b1af8a authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Recover MonitoredSession when the Coordinator is requested to stop with one of the _PREEMPTION_ERRORS. When SyncReplicasOptimizer is used, a preemption in the Coordinator may result in two cases: Case 1) the session gets silently marked as complete Case 2) the session gets stuck This CL aims to solve and verify solutions for both of these problems. Fix 1 changes the should_stop logic. Fix 2 changes the CoordinatedSession.run() logic. SyncReplicasOptimizer runs a separate set of threads using a Coordinator instance. Those threads do FIFOQueue.enqueue; the main thread does a blocking FIFOQueue.dequeue. `sync_token_q` FIFOQueue is on parameter-servers. When one of the PS instances gets preempted, an AbortedError causes the Coordinator to stop via request_stop(ex). That by itself changes the state of MonitoredSession.should_stop() to True (Fix 1). Results of the blocking Dequeue operation are sent to the chief worker via Recv. What happens next depends on the amount of tokens in `sync_token_q`. If there are enough for the next call to Dequeue to return, then the low-level "tf session run() call" returns. The next iteration of the `while not MonitoredSession.should_stop()` loop decides that the training is complete (Case 1). If there are not enough tokens in `sync_token_q`, then the blocking Dequeue is going to keep waiting for them. This results in the graph execution getting stuck and the whole session getting garbage collected after 10 minutes (Case 2). We decided to fix that by re-creating a session after it gets garbage collected (Fix 2). An alternative was to try to cancel the pending Dequeue operation, but it's not clear that it is the right thing to do and it is also not easy. PiperOrigin-RevId: 164888390 --- Commit 46e4de6e5 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Undo loop fusion changes for now as they seem to be altering a few results. END_PUBLIC RELNOTES: n/a BEGIN_PUBLIC BEGIN_PUBLIC Automated g4 rollback of changelist 164825735 PiperOrigin-RevId: 165340331
* Explicitly name the @org_tensorflow repository in a tool label.Gravatar A. Unique TensorFlower2017-08-14
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* Include crosstool_wrapper_driver_is_not_gcc.Gravatar A. Unique TensorFlower2017-08-07
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* Merge changes from github.Gravatar Benoit Steiner2017-08-04
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit cf375f067 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Adds cudnn_rnn_ops_op_lib and cudnn_rnn_kernels to contrib_ops_op_lib and contrib_kernels respectively. PiperOrigin-RevId: 164170971 --- Commit 95ec58e27 authored by Asim Shankar<ashankar@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: C API: Make TF_TensorFromTensor return an error instead of just logging it. PiperOrigin-RevId: 164167582 --- Commit 15175c870 authored by Jonathan Hseu<jhseu@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Build fixes. - Allow var_list as a positional argument in CrossShardOptimizer. - Set the number of shards to 1 when not running on TPU, to allow evaluate() and predict() on CPU/GPU to work. PiperOrigin-RevId: 164161640 --- Commit bd3e894f7 authored by Yao Zhang<yaozhang@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Support freeze mode for fused batch norm. PiperOrigin-RevId: 164149032 --- Commit e6b6b84c0 authored by Asim Shankar<ashankar@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: C API: TF_Tensors will always be in host memory. This change undoes some experimentation in commit 22651083406ca01ac9d481e3367a3510d25f88cd and restores TF_Tensor behavior to what is was prior to that change. PiperOrigin-RevId: 164146670 --- Commit 8bf3f88f7 authored by Peter Hawkins<phawkins@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: [TF:XLA] Add _XLASend and _XLARecv TF ops that wrap the XLA Send/Recv HLO ops. PiperOrigin-RevId: 164124764 --- Commit 626d3200f authored by Peter Hawkins<phawkins@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: [XLA] Add test blacklist mechanism for XLA C++ unit tests. PiperOrigin-RevId: 164124423 --- Commit 359cc5f5e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Document dict ordering in nest and make it consistent with sonnet. PiperOrigin-RevId: 164114335 --- Commit 05813b531 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Go: Update generated wrapper functions for TensorFlow ops. PiperOrigin-RevId: 164089206 --- Commit c451f465d authored by Anna R<annarev@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: BEGIN_PUBLIC Automated g4 rollback of changelist 164078808 PiperOrigin-RevId: 164318935
* Dockerfiles / script for TF remote build imagesGravatar A. Unique TensorFlower2017-08-02
| | | | PiperOrigin-RevId: 164045470
* Merge changes from github.Gravatar Benoit Steiner2017-08-01
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit e62de3f78 authored by Kay Zhu<kayzhu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Handle Reverse in HloEvaluator. Also move HandleCopy to outer visitor instead, since it can be implemented as a type-agnostic copy instead. PiperOrigin-RevId: 163866499 --- Commit 96675956e authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: C API: Avoid converting uninitialized tensorflow::Tensor to TF_Tensor* And return error messages instead of CHECK failing when the conversion fails. PiperOrigin-RevId: 163863981 --- Commit 9593704b2 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix framework import function dependency. PiperOrigin-RevId: 163863883 --- Commit 66f148542 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Improve performance of compilation by ~8% by speeding up the hlo rematerialization pass. Changes: . Wrap each HloInstruction* inside an Item structure that keeps associated data. This allows us to get rid of a bunch of hash tables indexed by HloInstruction*. * Switch to an intrusive linked list (instead of std::list) so that we can avoid a hash table that maps to std::list::iterator. * Use inlined vector in a few places. PiperOrigin-RevId: 163848365 --- Commit 6d77a0129 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Hide NonMaxSuppression and NonMaxSuppressionV2 ops and add a python wrapper that sets a backwards compatible default value for iou_threshold. PiperOrigin-RevId: 163844703 --- Commit 1a4499607 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix: add GDN to __init__. Also put it in alphabetical order. PiperOrigin-RevId: 163842410 --- Commit db0e1c6c8 authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Don't force inlining of functions marked no-inline PiperOrigin-RevId: 163842238 --- Commit 18718b6f7 authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Misc grappler improvements: * Avoid copying optimized graphs since that takes time. * Avoid optimizing a pruned graph, since it's already been pruned there isn't much to gain PiperOrigin-RevId: 163842122 --- Commit 90abbf684 authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use OP_REQUIRES instead of an assertion to validate op arguments PiperOrigin-RevId: 163841759 --- Commit 203c3f5fd authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Infer unknown shapes for functions in C++ As we are implementing function support through C API, the new code path runs shape inference of Operations representing functions, but we don't yet support shape inference for functions. Before this change, adding a function NodeDef would result in error. This change pairs all functions with a shape inference function that sets all output shapes to unknown. PiperOrigin-RevId: 163830793 --- Commit 3cc5fc088 authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Implement MirrorPad op. Addresses #11890 * Improves the shape inference error message for concatenate. * Adds a helper to Literal that gets an integral value converted to int64. PiperOrigin-RevId: 163829437 --- Commit c7b674fa2 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: flatten_up_to should return values, not keys PiperOrigin-RevId: 163809688 --- Commit 6209b4b52 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Minor refactoring the TF_Tensor <-> PyArray conversion functions. PiperOrigin-RevId: 163802822 --- Commit 618f913bb authored by Yao Zhang<yaozhang@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Speed up topological sort by avoiding copies. The speedup is about 10-20%. PiperOrigin-RevId: 163800134 --- Commit 6446895aa authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove and replace broken giflib download link PiperOrigin-RevId: 163796393 --- Commit 9d5613088 authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA:CPU] Atomically enqueue tuple buffers for outfeed. Previously it was possible that a distinct thread could hop in between the buffer enqueues done by a tuple-outfeeding thread. This changes the sequence to enqueue all the tuple buffers as an atomic unit. PiperOrigin-RevId: 163781804 --- Commit b882d686f authored by Bjarke Hammersholt Roune<broune@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allow cost estimates to differ per backend and include the estimates into the HLO profile. Add a summary table for what categories have the most opportunity for optimization left in them. PiperOrigin-RevId: 163780413 --- Commit 14b736761 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Pass stats_collector when using SymbolicGradientOp. PiperOrigin-RevId: 163773897 --- Commit 5202a5b6c authored by RJ Ryan<rjryan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix some typos in StreamExecutor's cuFFT support. PiperOrigin-RevId: 163771825 --- Commit edac90c7c authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add support to generate pprof results to tf.profiler A fun thing is, it can not only profile time,memory but also parameters, etc. PiperOrigin-RevId: 163767517 --- Commit 78a90370e authored by Eli Bendersky<eliben@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Refactor CreateModuleConfig to share code between multiple call-sites. Previously Service, LocalService and CompileOnlyService had their own code to create a new HloModuleConfig, with much repetition (and some ommissions); collect all these uses in a single method. PiperOrigin-RevId: 163766869 --- Commit 6150611ae authored by Anna R<annarev@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal change. PiperOrigin-RevId: 163765028 --- Commit 9e7875437 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add the option of including Shape, ShapeN, Size and Rank in the standard TensorFlow constant propagation pass, when the inputs to those Ops have sufficiently known static shape. PiperOrigin-RevId: 163762750 --- Commit 8b1365bb4 authored by Yuefeng Zhou<yuefengz@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Infer output shape for restore op. PiperOrigin-RevId: 163762216 --- Commit 2e2a8536d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update WorkerCacheLogger::RecordDataTransfer to not modify the details if provided. PiperOrigin-RevId: 163761089 --- Commit d03ba54f7 authored by Yangzihao Wang<yangzihao@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use BlasGemv() when autotune is not set. PiperOrigin-RevId: 163754092 --- Commit 724884f1c authored by Justin Lebar<jlebar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Show layouts in HLO graph dump. Layouts are displayed as e.g. "f32[100,200]{0,1}". But constants used to be displayed as e.g. "f32[]{42}". To avoid ambiguity, constants are now displayed as e.g. "42 (f32[])". Also gets rid of the xla_hlo_graph_layout flag, which is no longer necessary since we're now showing layouts unconditionally. PiperOrigin-RevId: 163753637 --- Commit 84c2757a6 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Move Grappler test GraphDefs to separate files PiperOrigin-RevId: 163751948 --- Commit 0b3a25d68 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make TF_RESOURCE memory handling consistent with other types. TF_Tensor's are backed by a contiguous memory region for all but TF_RESOURCE tensors. The memory management of TF_RESOURCE tensors required keeping a backing tensorflow::ResourceHandle* object alive for the lifetime of the TF_Tensor object. This change removes that discrepancy, making the memory backing TF_RESOURCE tensors self-contained. This simplifies use of TF_RESOURCE tensors in the C API (as users of the C API do not need to worry about a tensorflow::ResourceHandle object and its lifetime). In doing so, this moves a string memory copy from the TF_Tensor <-> Numpy conversion to the C API from the Python session helper. Unfortunately, I couldn't figure out how to add a simple unittest in c_api_test.cc. The more comprehensive tensorflow/python/kernel_tests/session_ops_test.py does cover the changed lines though. Additionally, avoid an unnecessary copy when creating TF_STRING or TF_RESOURCE tensors (as eigen alignment is not a requirement for them). PiperOrigin-RevId: 163751880 --- Commit 1333e7745 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allow one tensor to be the input to the estimator. PiperOrigin-RevId: 163747076 --- Commit 104f349e9 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update Conv2DShape function to handle filters that have data NCHW_VECT_C layout. PiperOrigin-RevId: 163746769 --- Commit efb7fb8e5 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use XLA_VLOG_LINES() in literal_test_util to avoid truncation of large tensors. PiperOrigin-RevId: 163745522 --- Commit 043505a09 authored by Suharsh Sivakumar<suharshs@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: MasterSession should throw error if use_per_session_threads or session_inter_op_thread_pool is set. PiperOrigin-RevId: 163743936 --- Commit 6ba02f0e9 authored by Artem Belevich<tra@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Added HasAllocationAt() helper function. PiperOrigin-RevId: 163742985 --- Commit 18304683e authored by Justine Tunney<jart@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Pin tensorflow to tensorflow-tensorboard 0.1.x This change will be cherry-picked into the 1.3.0 release. PiperOrigin-RevId: 163742463 --- Commit 3445dd0ed authored by Justine Tunney<jart@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make 'import tensorflow' go faster It now takes about 400ms rather than 800ms, if the file system cache is warm. Most of the latency was due to parsing text_format OpList protocol buffers in our generated sources. We now use a binary representation, while preserving the text proto as a comment for readability. Note: This change does not improve the latency of dereferencing tf.contrib, which takes about 340ms. PiperOrigin-RevId: 163739355 --- Commit c215c55d5 authored by Neal Wu<wun@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add missing py_binary for mnist_deep.py PiperOrigin-RevId: 163737503 --- Commit b663c9899 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make non-iterable input to `stratified_sample` produce better error message. PiperOrigin-RevId: 163735979 --- Commit 122750a87 authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [SE] Make ExecutorCache thread-safe, change ExecutorCache::Insert to ExecutorCache::GetOrCreate. Add support for creating Executors for different device ordinals in parallel. [XLA] Create Executors in parallel. PiperOrigin-RevId: 163734988 --- Commit 7ebed6678 authored by Frank Chen<frankchn@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add __init__.py to the contrib/cluster_resolver directory so that the Cluster Resolver classes within this are visible to open source TensorFlow users. PiperOrigin-RevId: 163733781 --- Commit 21faf19d0 authored by Shanqing Cai<cais@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Upgrade pip version to 9.0.1; Prettier format of log text * Upgrade pip version used in virtualenv created by the test-on-install to latest (9.0.1). * Highlight step titles of pip builds with bold font. PiperOrigin-RevId: 163732825 --- Commit 5887cc10e authored by Kay Zhu<kayzhu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] In LiteralUtil::StridedConfig: choose the larger dimension between the source and destination shapes' minor-most dimension index. PiperOrigin-RevId: 163732014 --- Commit f9c644693 authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Disable sanitizers for depthwise conv test to fix test flakiness. PiperOrigin-RevId: 163727765 --- Commit 6263539a1 authored by Allen Lavoie<allenl@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Grappler memory optimization: allow inputs to gradients with non-standard names to be recomputed Includes Python tests for name-scoped gradients. PiperOrigin-RevId: 163720208 --- Commit 4ac195669 authored by Benoit Steiner<benoitsteiner@users.noreply.github.com> Committed by GitHub<noreply@github.com>: Branch 163695881 (#11913) * Prevent ctc_loss op from segfaulting when given empty batch. PiperOrigin-RevId: 163663460 * New "SavedModel: Practical Uses" and "SavedModel: Architecture" documents. PiperOrigin-RevId: 163669809 * Minor cleanup PiperOrigin-RevId: 163685423 * Add regression variance over individual trees to TensorForest inference. PiperOrigin-RevId: 163695881 --- Commit b876065af authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: graph_to_function_def gets its own file PiperOrigin-RevId: 163709410 --- Commit 29550762b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixes unit tests for inverse hyperbolic functions that were failing because numeric gradients were computed too close to a branch cut (for complex arguments) or singularity (for real arguments) where the function is not differentiable (See, e.g., http://mathworld.wolfram.com/BranchCut.html). This change moves the test points away from the branch cut/singularity. Improves precision of double precision numerical gradients by using a smaller step size delta (the optimal for symmetric difference approximation with functions computed with O(epsilon) error is epsilon^(1/3), so for double64 it is ~1e-5). PiperOrigin-RevId: 163706297 --- Commit 99b190a1f authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Add implementation of depthwise convolution. This implementation expands the depthwise convolution kernels into a regular convolution kernel, which may not scale to large feature depths. PiperOrigin-RevId: 163705408 --- Commit f6f07b027 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allow kernel unit tests to run on GPU PiperOrigin-RevId: 163705027 --- Commit 4ec29c5d9 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Avoid direct access to Node::def() where some other method works. PiperOrigin-RevId: 163704839 --- Commit 153be4d26 authored by Luke Iwanski<luke@codeplay.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: [OpenCL] Stats tracking (#11523) * Adds stat tracking to the SYCL allocator The SYCLAllocator will now find the max allocation size on construction, and keep track of the allocation stats, as given in AllocationStats. * [OpenCL] Adds buffer size tracking to SYCL allocator (#114) The SYCL buffers underlying tensors already keep track of their sizes, so we can easily provide this tracking information for debugging purposes. --- Commit 8d642672f authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Disabling gmm_test.py on Windows builds as it's flaky on GPU nightly builds. --- Commit 1560c55d2 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add regression variance over individual trees to TensorForest inference. PiperOrigin-RevId: 163695881 --- Commit 15e928d51 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Minor cleanup PiperOrigin-RevId: 163685423 --- Commit f9c758719 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: New "SavedModel: Practical Uses" and "SavedModel: Architecture" documents. PiperOrigin-RevId: 163669809 --- Commit f19bb3beb authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Prevent ctc_loss op from segfaulting when given empty batch. PiperOrigin-RevId: 163663460 --- Commit 454fe936c authored by Taehoon Lee<taehoonlee@snu.ac.kr> Committed by Taehoon Lee<taehoonlee@snu.ac.kr>: Fix typos --- Commit e17650b69 authored by Frank Chen<frankchn@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: This adds the cluster_resolver module to contrib/__init__.py so that it is actually visible to open source TensorFlow users. PiperOrigin-RevId: 163636676 --- Commit 926c0f6ee authored by ??<awsomekde@gmail.com> Committed by GitHub<noreply@github.com>: fix minor typo --- Commit 00d3126a3 authored by Yao Zhang<yaozhang@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Change const nodes to variables in the test, so that they are not optimized away by the grappler constant folding pass. PiperOrigin-RevId: 163602405 --- Commit 1c7c9c716 authored by Aditya Dhulipala<aditya.d@hotmail.com> Committed by Vijay Vasudevan<vrv@google.com>: Minor typo correction (#11874) --- Commit f91a3546e authored by Sergii Khomenko<x-sam@brainscode.com> Committed by Vijay Vasudevan<vrv@google.com>: Fix a minor typo (#11873) --- Commit adf5d1bc0 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 163510186 PiperOrigin-RevId: 163902859
* Merge changes from github.Gravatar Vijay Vasudevan2017-07-28
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC I dropped the following commit because it doesn't compile. I will follow up with Andrew to fix it or revert it. Commit 003deb88b authored by osdamv<osdamv@gmail.com> Committed by Vijay Vasudevan<vrv@google.com>: Refactor and implementation of the camera API 1, it fixes #8736 (#10771) List of commits in this CL: --- Commit 446450369 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use identity of param variable in cudnn_rnn.RNNParamsSaveable instead of parameter variable directly. The RNNParamsSaveable is usually used in a graph which also has a saver for the cudnn param variable itself, if the same op is used for both, fails with a two savers for same op error. PiperOrigin-RevId: 163431826 --- Commit d629a8316 authored by RJ Ryan<rjryan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Increase bound on tf.contrib.signal.inverse_stft gradient error to avoid flakiness on macOS. PiperOrigin-RevId: 163426631 --- Commit 253bcbb71 authored by Kay Zhu<kayzhu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Use HloEvaluator for convolution in reference_util. Also Speed up HloEvaluator's HandleConvolution in non-opt build, by moving calls to HloInstruction::shape() out of the inner loop. PiperOrigin-RevId: 163416183 --- Commit 569a00e68 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update API to traffic in unique_ptrs rather than owning raw pointers PiperOrigin-RevId: 163414320 --- Commit 31a77bc77 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Java: Update release to 1.3.0-rc1 PiperOrigin-RevId: 163413736 --- Commit 1ebbf4325 authored by Jonathan Hseu<vomjom@vomjom.net> Committed by GitHub<noreply@github.com>: Add missing grpc dependency (#11828) --- Commit 905abb1f9 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Test asserts should have `expected` first. PiperOrigin-RevId: 163409348 --- Commit d5cc143e2 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Increase timeout to deflake the test. PiperOrigin-RevId: 163407824 --- Commit ce1c7f02a authored by Eli Bendersky<eliben@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Properly include logging header in xla_internal_test_main PiperOrigin-RevId: 163405986 --- Commit 22241cd42 authored by joetoth<joetoth@gmail.com> Committed by Vijay Vasudevan<vrv@google.com>: External leveldb link changed (#11833) table_format.txt was renamed to table_format.md --- Commit 6b7314de4 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Consolidating the code to fill the partition's function library into one place. Previously, Partition() and MasterSession::RegisterPartition() both fills in the partitioned graph's function library. PiperOrigin-RevId: 163400992 --- Commit 28373cfe7 authored by Frank Chen<frankchn@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Adds preliminary support for Cloud TPUs with Cluster Resolvers. This aims to allow users to have a better experienec when specifying one or multiple Cloud TPUs for their training jobs by allowing users to use names rather than IP addresses. PiperOrigin-RevId: 163393443 --- Commit e5353c941 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Don't prune nodes that have reference inputs. PiperOrigin-RevId: 163390862 --- Commit 226510834 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: C API: Groundwork for experimenting with TF_Tensor in device memory. TF_Tensor objects are always backed by host memory. This commit lays the groundwork for allowing TF_Tensor objects to refer to tensor data on device (e.g., GPU) memory. PiperOrigin-RevId: 163388079 --- Commit 613bf1c7c authored by Yuefeng Zhou<yuefengz@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: fix asan test failure in SingleMachineTest::ReleaseMemoryAfterDestruction. PiperOrigin-RevId: 163386941 --- Commit 4653d37a3 authored by Eli Bendersky<eliben@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Change type to appease GPU builds. PiperOrigin-RevId: 163384927 --- Commit 9f131bd15 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal change PiperOrigin-RevId: 163378484 --- Commit 8bc0236c8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: PiperOrigin-RevId: 163366493 --- Commit 3b97f1f9b authored by Yangzihao Wang<yangzihao@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Change to only run one round of matmul benchmark. PiperOrigin-RevId: 163364341 --- Commit a4a3a3335 authored by Yun Peng<pcloudy@google.com> Committed by Vijay Vasudevan<vrv@google.com>: Fix ./configure on Windows (#11775) * Fix ./configure on Windows * Disable bitwise_ops_test on Windows --- Commit ae3119d16 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Small changes to op framework. PiperOrigin-RevId: 163361071 --- Commit f40189d26 authored by qjivy<ji.qiu@spreadtrum.com> Committed by Vijay Vasudevan<vrv@google.com>: PR again: Enable building label_image with jpeg/gif/png decoder for Android. (#11475) * Enable building label_image with jpeg/gif/png decoder for Android. Add dependency "android_tesnorflow_image_op" to label_image, which is not overlapped with android_tensorflow_kernels. * Running buildifier to reformat the BUILD files for sanity check. --- Commit 599165861 authored by KB Sriram<kbsriram@gmail.com> Committed by Vijay Vasudevan<vrv@google.com>: Add the Constant operator class (#11559) Create a custom operator class to create constants in the Graph, and introduce the Operator marker annotation to identify operator classes. Please see #7149 for the master tracking issue. --- Commit 86ca3506f authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Further BUILD cleanup PiperOrigin-RevId: 163360750 --- Commit 376bb063b authored by Pete Warden<petewarden@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Look inside functions to see which node types are used. PiperOrigin-RevId: 163360375 --- Commit 2139e7d8b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf.contrib.data] map expects a nested structure. Fixes #11786 PiperOrigin-RevId: 163359134 --- Commit d09304fca authored by Jonathan Hseu<vomjom@vomjom.net> Committed by Vijay Vasudevan<vrv@google.com>: Upgrade gRPC (#11768) * BUILD rule modifications * More build fixes * Code changes * More code fixes * Working tests * CMake build * Fix pprof * Fix header includes * CMake fix test * Bazel clean * Fix verbs * More verbs fixes * bazel clean for XLA * Windows build fix test * Add openssl/rand.h * New cmake build command * --config Release --- Commit 3cd828474 authored by David Norman<DavidNorman@users.noreply.github.com> Committed by Vijay Vasudevan<vrv@google.com>: Fix error with default python path selection (#11814) * Fix error with default python path selection * Move setting of environment var outside if / else --- Commit ddd8e21b7 authored by Eli Bendersky<eliben@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Consolidate all similar main()s in tests into a single target. PiperOrigin-RevId: 163354724 --- Commit a36bca25b authored by Tayo Oguntebi<tayo@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove ShapeWithoutPadding() utility function, as it is no longer needed. PiperOrigin-RevId: 163353430 --- Commit b26f9cd44 authored by David Norman<DavidNorman@users.noreply.github.com> Committed by Vijay Vasudevan<vrv@google.com>: Ensure that the multi-instruction fuse can take shared inputs (#11748) * Ensure that the multi-instruction fuse can take shared inputs Note that the fuse action only works when the shared input / constant appears after all of its consumers in the list of instructions. * Add a comment describing the test --- Commit 34cbf161d authored by Jiri Simsa<jsimsa@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update Dataset API documentation. PiperOrigin-RevId: 163349457 --- Commit 2381ce5c3 authored by Abdullah Alrasheed<a.rasheed@tc-sa.com> Committed by Vijay Vasudevan<vrv@google.com>: DOC: Fix typo. (#11813) you could could be I/O bottlenecked. TO: you could be I/O bottlenecked. --- Commit e4a5c5356 authored by Toby Boyd<tobyboyd@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: ["Variable", "VariableV2", "VarHandleOp"] is the default for ps_ops=None PiperOrigin-RevId: 163344629 --- Commit 722f6f361 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix TensorForest's saveable object names so loading a savedmodel works. PiperOrigin-RevId: 163332598 --- Commit cda80a785 authored by Eric Liu<ioeric@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tpu profiler] Dump HLO graphs in profile responses to the log directory. PiperOrigin-RevId: 163318992 --- Commit cea9ef6f5 authored by horance<horance-liu@users.noreply.github.com> Committed by Vijay Vasudevan<vrv@google.com>: Refactoring device name utils (#11797) * remove duplicated code for full_name and legacy_name for DeviceNameUtils * replace tabs * Real->Device --- Commit 1f7c0f917 authored by Kongsea<kongsea@gmail.com> Committed by Vijay Vasudevan<vrv@google.com>: Refine docstrings (#11800) --- Commit dd1f0cddd authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Supports lookup devices by fullname either in the canonical form or the legacy form. This makes DeviceSet behaves the same as DeviceMgr's FindDevice method. PiperOrigin-RevId: 163300346 --- Commit 631a364cd authored by Kay Zhu<kayzhu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Add Reduce, DynamicSlice and DynamicSliceUpdate to HloEvaluator. - Reduce is disabled explicitly for constant folding, as not all types of embedded computation can be currently supported by the evaluator. - Added support to evaluate HloModule to HloEvaluator. - Minor signature change to Evaluate(). PiperOrigin-RevId: 163299238 --- Commit a52470172 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Sets the incarnation number even when the attribute is set. PiperOrigin-RevId: 163299121 --- Commit a49fe0366 authored by Suharsh Sivakumar<suharshs@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove platform bridge for grpc_response_reader. PiperOrigin-RevId: 163295986 --- Commit 4404aa7cb authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Add TODO comment explaining why the IsScalar check exists. PiperOrigin-RevId: 163292777 --- Commit 43036ac16 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove unnecessary break statements. PiperOrigin-RevId: 163291947 --- Commit fd5de4690 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Add regression test for a corner case using Reduce that currently fails with the GPU backend. PiperOrigin-RevId: 163287986 --- Commit 32e198f2d authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Add tf.cross support. See #11788 PiperOrigin-RevId: 163287731 --- Commit 88abddbc3 authored by Alan Yee<alyee@ucsd.edu> Committed by Vijay Vasudevan<vrv@google.com>: Update README.md (#11793) Remove bad practices of sudo pip and install use safer pip install commands --- Commit 9b30dc3a8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove final mentions of `get_shape` in docstring. PiperOrigin-RevId: 163282839 --- Commit 423c1eea0 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BREAKING CHANGE: Fix semantic error in how maybe_batch* handles sparse tensors. PiperOrigin-RevId: 163276613 --- Commit 6028c071b authored by Justin Lebar<jlebar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Highlight incoming/outgoing edges on hover in HLO graphviz dumps, and other improvements. Other improvements: - Don't show tooltips for nodes and clusters. Previously we'd show a tooltip containing a pointer value expressed as decimal. Not so useful. - Show tooltips on edges with the to/from node names. - Fix bug wherein if we had - a node at the "edge" of the graph (so its operands aren't included unless they're referenced by another node), - with all of its operands included in the graph save one or more constants, and - those constants weren't referenced by any nodes not at the edge of the graph, we would incorrectly draw the node as "grayed out", indicating that one of its operands (namely, its constant operand) wasn't present in the graph. This is wrong because constants are inlined into their users, so they should always count as "displayed" for the purposes of determining whether a node is grayed out. PiperOrigin-RevId: 163276108 --- Commit ce7a355bd authored by Joshua V. Dillon<jvdillon@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update contrib/distributions/estimator_test build dependency. PiperOrigin-RevId: 163272464 --- Commit 1b8458a1c authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Shorten docstring line. PiperOrigin-RevId: 163269709 --- Commit 69e323cc6 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix comment ypo PiperOrigin-RevId: 163266376 --- Commit 08790e73d authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Fix a bug in cloning outfeeds, carried the wrong shape. PiperOrigin-RevId: 163265592 --- Commit 1bad826d6 authored by Yangzihao Wang<yangzihao@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Rollback of GPU kernel implementation of transpose for tensors with one small dimension. END_PUBLIC BEGIN_PUBLIC BEGIN_PUBLIC Automated g4 rollback of changelist 162525519 PiperOrigin-RevId: 163490703
* Adding missing deps to targets in llvm.BUILD. This was only working in ↵Gravatar A. Unique TensorFlower2017-07-25
| | | | | | non-sandboxed builds. PiperOrigin-RevId: 163103908
* Re-enable using local MKL directory.Gravatar Gunhan Gulsoy2017-07-21
| | | | | | | Setting TF_MKL_ROOT environment variable (together with "--config=mkl") before build will enforce using a local copy of MKL during build. PiperOrigin-RevId: 162787130
* Update XLA LLVM to r308712Gravatar A. Unique TensorFlower2017-07-21
| | | | PiperOrigin-RevId: 162743186
* Tidy up opensouce mkl build.Gravatar Gunhan Gulsoy2017-07-21
| | | | | | Closes #11212 PiperOrigin-RevId: 162713588
* Update toolchain configuration artifacts to work with latest version of bazelGravatar A. Unique TensorFlower2017-07-11
| | | | PiperOrigin-RevId: 161531749
* Merge changes from github.Gravatar Shanqing Cai2017-07-10
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit d0f53f77f authored by Penghao Cen<scorpiocph@gmail.com> Committed by Shanqing Cai<cais@google.com>: Minor fix typo (#11323) --- Commit 02fcf564e authored by Chris Song<sjhshy@gmail.com> Committed by Chris Song<sjhshy@gmail.com>: Fix misspells. --- Commit 764c9b6b4 authored by Louis Tiao<ltiao@users.noreply.github.com> Committed by GitHub<noreply@github.com>: Fixed typo in docstring --- Commit f8cd1283e authored by Shanqing Cai<cais@google.com> Committed by Shanqing Cai<cais@google.com>: Chaser --- Commit 01383b946 authored by Shanqing Cai<cais@google.com> Committed by Shanqing Cai<cais@google.com>: Adapt TensorFlowTestCase.setUp() to new reset_default_graph() semantics Avoid calling reset_default_graph() directly to prevent exceptions in cases where test methods error out from within nested graph contexts, which can leave _default_graph_stack non-empty in certain Python versions. --- Commit 0ffc37890 authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Removing second declaration of functions. --- Commit f9c9cacb0 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Refactor ElementalIrEmitter's slice index finding code into IrArray::Index::SourceIndexOfSlice(). PiperOrigin-RevId: 161140653 --- Commit ba297aec9 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update ops-related pbtxt files. PiperOrigin-RevId: 161138258 --- Commit 68d666737 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixes a reentrant lock issue with tensors using ndarray memory which uses tensor memory. PiperOrigin-RevId: 161137788 --- Commit a2ee8bca3 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add support for int8 x int8 -> int32 matrix multiplication via cublasGemmEx to stream_executor. PiperOrigin-RevId: 161137741 --- Commit 755fa7b50 authored by Mark Daoust<markdaoust@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Block generate_test, and docs generating from running in python3. - Doc generation is currently unsupported in python3 - These both end in errors in python 3.5.1+ PiperOrigin-RevId: 161137467 --- Commit 97cbcac45 authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Fix failure in functionalize_control_flow rewrite for Enter nodes that are unused. Make sure we ignore such nodes without producing an error. PiperOrigin-RevId: 161136545 --- Commit dabcb60bc authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Add reasonable error messages to Builder::Build for bad parameter numbers. PiperOrigin-RevId: 161136262 --- Commit 0cbd249e8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add complex tensors support to `matrix_determinant`. PiperOrigin-RevId: 161132422 --- Commit 335f1f14d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Extend static shape inference for SparseTensors with dense_shapes constructed using slicing. PiperOrigin-RevId: 161132391 --- Commit 53604916e authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixed the missing labels test in TPUEstimator. PiperOrigin-RevId: 161131282 --- Commit 9f57dc8dd authored by Bruno Rosa<bruno.rosa@eldorado.org.br> Committed by Bruno Rosa<bruno.rosa@eldorado.org.br>: Use mcpu instead of march for ppc64le march is not support by gcc on ppc64le --- Commit 7d5c74a9c authored by Skye Wanderman-Milne<skyewm@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Move duplicate detection logic from Graph to FunctionLibraryDefinition Turns out this is more useful, since there are many function libraries that don't belong to a graph. This will be used in a future change. Note that this maintains the current behavior of Graph. In addition, updates FunctionDefsEqual() to handle unset attr entries (I ran into this when using this in said future change). PiperOrigin-RevId: 161126628 --- Commit 2caec3af1 authored by Shanqing Cai<cais@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Disable more timeseries py tests failing in OSS PIP GPU builds PiperOrigin-RevId: 161124799 --- Commit 0b5cce367 authored by Eugene Brevdo<ebrevdo@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Get TopK op working on GPU again. Extend using cub's radix sort. 1. Undo rollback of Andreas Kirsch's initial implementation. 2. Use cub segmented radix sort if Andreas' heap-based impl for large k and small num_cols (thresholds of k=100, n=1000 determined empirically). 3. Use cub segmented radix sort if k == num_cols (this case is always faster). 4. Added benchmarks. Benchmarks show that the GPU implementation is up to 3x slower for small k but can be 10x faster for large num_cols and k. Benchmarks: Benchmark: m_128_n_10_k_5_use_gpu_False wall_time: 0.000166 s Throughput: 0.0077 GB/s Benchmark: m_128_n_10_k_5_use_gpu_True wall_time: 0.000796 s Throughput: 0.00161 GB/s Benchmark: m_128_n_10_k_9_use_gpu_False wall_time: 0.00017 s Throughput: 0.00751 GB/s Benchmark: m_128_n_10_k_9_use_gpu_True wall_time: 0.000796 s Throughput: 0.00161 GB/s Benchmark: m_128_n_10_k_10_use_gpu_False wall_time: 0.00017 s Throughput: 0.00753 GB/s Benchmark: m_128_n_10_k_10_use_gpu_True wall_time: 0.000775 s Throughput: 0.00165 GB/s Benchmark: m_128_n_100_k_1_use_gpu_False wall_time: 0.000155 s Throughput: 0.0826 GB/s Benchmark: m_128_n_100_k_1_use_gpu_True wall_time: 0.000796 s Throughput: 0.0161 GB/s Benchmark: m_128_n_100_k_50_use_gpu_False wall_time: 0.000247 s Throughput: 0.0519 GB/s Benchmark: m_128_n_100_k_50_use_gpu_True wall_time: 0.0008 s Throughput: 0.016 GB/s Benchmark: m_128_n_100_k_99_use_gpu_False wall_time: 0.000261 s Throughput: 0.049 GB/s Benchmark: m_128_n_100_k_99_use_gpu_True wall_time: 0.000794 s Throughput: 0.0161 GB/s Benchmark: m_128_n_100_k_100_use_gpu_False wall_time: 0.000239 s Throughput: 0.0536 GB/s Benchmark: m_128_n_100_k_100_use_gpu_True wall_time: 0.000777 s Throughput: 0.0165 GB/s Benchmark: m_128_n_1000_k_1_use_gpu_False wall_time: 0.000324 s Throughput: 0.395 GB/s Benchmark: m_128_n_1000_k_1_use_gpu_True wall_time: 0.000916 s Throughput: 0.14 GB/s Benchmark: m_128_n_1000_k_10_use_gpu_False wall_time: 0.00042 s Throughput: 0.305 GB/s Benchmark: m_128_n_1000_k_10_use_gpu_True wall_time: 0.000902 s Throughput: 0.142 GB/s Benchmark: m_128_n_1000_k_500_use_gpu_False wall_time: 0.0011 s Throughput: 0.116 GB/s Benchmark: m_128_n_1000_k_500_use_gpu_True wall_time: 0.00097 s Throughput: 0.132 GB/s Benchmark: m_128_n_1000_k_990_use_gpu_False wall_time: 0.00133 s Throughput: 0.0962 GB/s Benchmark: m_128_n_1000_k_990_use_gpu_True wall_time: 0.000993 s Throughput: 0.129 GB/s Benchmark: m_128_n_1000_k_1000_use_gpu_False wall_time: 0.00102 s Throughput: 0.126 GB/s Benchmark: m_128_n_1000_k_1000_use_gpu_True wall_time: 0.000964 s Throughput: 0.133 GB/s Benchmark: m_128_n_10000_k_10_use_gpu_False wall_time: 0.002 s Throughput: 0.64 GB/s Benchmark: m_128_n_10000_k_10_use_gpu_True wall_time: 0.00288 s Throughput: 0.445 GB/s Benchmark: m_128_n_10000_k_100_use_gpu_False wall_time: 0.00233 s Throughput: 0.549 GB/s Benchmark: m_128_n_10000_k_100_use_gpu_True wall_time: 0.00325 s Throughput: 0.394 GB/s Benchmark: m_128_n_10000_k_5000_use_gpu_False wall_time: 0.0127 s Throughput: 0.101 GB/s Benchmark: m_128_n_10000_k_5000_use_gpu_True wall_time: 0.00381 s Throughput: 0.336 GB/s Benchmark: m_128_n_10000_k_9900_use_gpu_False wall_time: 0.015 s Throughput: 0.0853 GB/s Benchmark: m_128_n_10000_k_9900_use_gpu_True wall_time: 0.00438 s Throughput: 0.292 GB/s Benchmark: m_128_n_10000_k_10000_use_gpu_False wall_time: 0.0104 s Throughput: 0.123 GB/s Benchmark: m_128_n_10000_k_10000_use_gpu_True wall_time: 0.00427 s Throughput: 0.3 GB/s Benchmark: m_128_n_100000_k_100_use_gpu_False wall_time: 0.0148 s Throughput: 0.865 GB/s Benchmark: m_128_n_100000_k_100_use_gpu_True wall_time: 0.0262 s Throughput: 0.488 GB/s Benchmark: m_128_n_100000_k_1000_use_gpu_False wall_time: 0.0201 s Throughput: 0.636 GB/s Benchmark: m_128_n_100000_k_1000_use_gpu_True wall_time: 0.0263 s Throughput: 0.486 GB/s Benchmark: m_128_n_100000_k_50000_use_gpu_False wall_time: 0.214 s Throughput: 0.0599 GB/s Benchmark: m_128_n_100000_k_50000_use_gpu_True wall_time: 0.0322 s Throughput: 0.398 GB/s Benchmark: m_128_n_100000_k_99000_use_gpu_False wall_time: 0.262 s Throughput: 0.0489 GB/s Benchmark: m_128_n_100000_k_99000_use_gpu_True wall_time: 0.0377 s Throughput: 0.34 GB/s Benchmark: m_128_n_100000_k_100000_use_gpu_False wall_time: 0.118 s Throughput: 0.108 GB/s Benchmark: m_128_n_100000_k_100000_use_gpu_True wall_time: 0.0365 s Throughput: 0.351 GB/s END_PUBLIC BEGIN_PUBLIC BEGIN_PUBLIC Automated g4 rollback of changelist 157169178 PiperOrigin-RevId: 161476569
* Internal-only changes.Gravatar Shanqing Cai2017-07-07
| | | | PiperOrigin-RevId: 161214648
* Update llvm revision to r307064. Need this because of an Orc api change r307058.Gravatar A. Unique TensorFlower2017-07-06
| | | | | | Add a rule to generate an empty VCSRevision.h file to accomodate for r300160. PiperOrigin-RevId: 161051888
* Symlink files for cuda configuration one level below the BUILD file (i.e., ↵Gravatar A. Unique TensorFlower2017-07-04
| | | | | | | | | | | one level under local_config_cuda/cuda). END_PUBLIC BEGIN_PUBLIC Automated g4 rollback of changelist 159643278 PiperOrigin-RevId: 160894669
* Internal-only changesGravatar Shanqing Cai2017-07-01
| | | | PiperOrigin-RevId: 160754438
* Clean up cuda configuration:Gravatar A. Unique TensorFlower2017-06-29
| | | | | | | | - Remove experimental attributes (remote_config_repo). Use of experimental remote repo can only be enabled now via env variable (preferred to change to workspace file) - Fixes minor issues with template: adds spaces to srcs in genrule, remove extra space after genrules. - Fix ordering of attributes in build template PiperOrigin-RevId: 160595014
* Clean up python configuration:Gravatar A. Unique TensorFlower2017-06-29
| | | | | | | | | - Remove experimental attributes (local_checks, python_include, numpy_include, remote_config_repo). Use of experimental remote repo can only be enabled now via env variable (preferred to change to workspace file) - Fix hardcoded fallback value for python bin. New fallback is to use 'which python' and fail if python not set in path (solves tensorflow/tensorflow#9436 / works around bazelbuild/bazel#3057). - Fixes minor issues with template: adds spaces to srcs in genrule, remove extra space after genrules. - Some dead code clean up (use of empty configuration) PiperOrigin-RevId: 160594421
* GPU-enabled WhereOp using CUB.Gravatar Eugene Brevdo2017-06-29
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * Import CUB. * Add GPU-enabled async WhereOp. * Added benchmarks. * Added support for bool ResourceVariables on GPU. Benchmark results on machine with single K40 tesla GPU: Where on bool matrix shape [m x n] with p percentage values true below. For small-medium sizes, running WhereOp on GPU is ~4-2x slower. For realistic large problem sizes, it's 2-5x faster. This timing ignores the time spent copying a tensor from GPU -> CPU and back from CPU -> GPU when the WhereOp is between GPU computations (so the performance impact should actually be better). Benchmark: m_10_n_10_p_0.01_use_gpu_False wall_time: 9.01e-05 s Throughput: 0.00129 GB/s Benchmark: m_10_n_10_p_0.01_use_gpu_True wall_time: 0.000187 s Throughput: 0.000621 GB/s Benchmark: m_10_n_10_p_0.5_use_gpu_False wall_time: 9.3e-05 s Throughput: 0.00968 GB/s Benchmark: m_10_n_10_p_0.5_use_gpu_True wall_time: 0.000252 s Throughput: 0.00357 GB/s Benchmark: m_10_n_10_p_0.99_use_gpu_False wall_time: 0.000152 s Throughput: 0.0111 GB/s Benchmark: m_10_n_10_p_0.99_use_gpu_True wall_time: 0.000245 s Throughput: 0.00687 GB/s Benchmark: m_10_n_100_p_0.01_use_gpu_False wall_time: 9.3e-05 s Throughput: 0.0125 GB/s Benchmark: m_10_n_100_p_0.01_use_gpu_True wall_time: 0.000253 s Throughput: 0.00458 GB/s Benchmark: m_10_n_100_p_0.5_use_gpu_False wall_time: 9.8e-05 s Throughput: 0.0918 GB/s Benchmark: m_10_n_100_p_0.5_use_gpu_True wall_time: 0.00026 s Throughput: 0.0346 GB/s Benchmark: m_10_n_100_p_0.99_use_gpu_False wall_time: 0.000104 s Throughput: 0.162 GB/s Benchmark: m_10_n_100_p_0.99_use_gpu_True wall_time: 0.000288 s Throughput: 0.0586 GB/s Benchmark: m_10_n_1000_p_0.01_use_gpu_False wall_time: 0.000105 s Throughput: 0.111 GB/s Benchmark: m_10_n_1000_p_0.01_use_gpu_True wall_time: 0.000283 s Throughput: 0.041 GB/s Benchmark: m_10_n_1000_p_0.5_use_gpu_False wall_time: 0.000185 s Throughput: 0.486 GB/s Benchmark: m_10_n_1000_p_0.5_use_gpu_True wall_time: 0.000335 s Throughput: 0.269 GB/s Benchmark: m_10_n_1000_p_0.99_use_gpu_False wall_time: 0.000203 s Throughput: 0.83 GB/s Benchmark: m_10_n_1000_p_0.99_use_gpu_True wall_time: 0.000346 s Throughput: 0.486 GB/s Benchmark: m_10_n_10000_p_0.01_use_gpu_False wall_time: 0.00019 s Throughput: 0.609 GB/s Benchmark: m_10_n_10000_p_0.01_use_gpu_True wall_time: 0.00028 s Throughput: 0.414 GB/s Benchmark: m_10_n_10000_p_0.5_use_gpu_False wall_time: 0.00117 s Throughput: 0.771 GB/s Benchmark: m_10_n_10000_p_0.5_use_gpu_True wall_time: 0.000426 s Throughput: 2.11 GB/s Benchmark: m_10_n_10000_p_0.99_use_gpu_False wall_time: 0.0014 s Throughput: 1.2 GB/s Benchmark: m_10_n_10000_p_0.99_use_gpu_True wall_time: 0.000482 s Throughput: 3.5 GB/s Benchmark: m_10_n_100000_p_0.01_use_gpu_False wall_time: 0.00129 s Throughput: 0.899 GB/s Benchmark: m_10_n_100000_p_0.01_use_gpu_True wall_time: 0.000336 s Throughput: 3.45 GB/s Benchmark: m_10_n_100000_p_0.5_use_gpu_False wall_time: 0.0102 s Throughput: 0.885 GB/s Benchmark: m_10_n_100000_p_0.5_use_gpu_True wall_time: 0.00136 s Throughput: 6.6 GB/s Benchmark: m_10_n_100000_p_0.99_use_gpu_False wall_time: 0.0116 s Throughput: 1.45 GB/s Benchmark: m_10_n_100000_p_0.99_use_gpu_True wall_time: 0.00233 s Throughput: 7.23 GB/s Benchmark: m_10_n_1000000_p_0.01_use_gpu_False wall_time: 0.0111 s Throughput: 1.04 GB/s Benchmark: m_10_n_1000000_p_0.01_use_gpu_True wall_time: 0.00109 s Throughput: 10.6 GB/s Benchmark: m_10_n_1000000_p_0.5_use_gpu_False wall_time: 0.0895 s Throughput: 1.01 GB/s Benchmark: m_10_n_1000000_p_0.5_use_gpu_True wall_time: 0.0103 s Throughput: 8.7 GB/s Benchmark: m_10_n_1000000_p_0.99_use_gpu_False wall_time: 0.107 s Throughput: 1.58 GB/s Benchmark: m_10_n_1000000_p_0.99_use_gpu_True wall_time: 0.0201 s Throughput: 8.39 GB/s PiperOrigin-RevId: 160582709
* Merge changes from github.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160344052
* Fixes to cuda_config.h.Gravatar A. Unique TensorFlower2017-06-26
| | | | PiperOrigin-RevId: 160168545
* Adding missing license notice to toolchain build filesGravatar A. Unique TensorFlower2017-06-22
| | | | PiperOrigin-RevId: 159847551
* Adding missing deps to targets in llvm.BUILD. This was only working in ↵Gravatar A. Unique TensorFlower2017-06-21
| | | | | | non-sandboxed builds. PiperOrigin-RevId: 159729295
* Automated g4 rollback of changelist 159570549Gravatar A. Unique TensorFlower2017-06-20
| | | | PiperOrigin-RevId: 159643278
* Symlink files for cuda configuration one level below the BUILD file (i.e., ↵Gravatar A. Unique TensorFlower2017-06-20
| | | | | | one level under local_config_cuda/cuda). PiperOrigin-RevId: 159570549
* Creating configuration artifacts to use Bazel remote execution serviceGravatar A. Unique TensorFlower2017-06-20
| | | | PiperOrigin-RevId: 159552253
* Install codegen in bazel workspace to allow docs tests to run.Gravatar Mark Daoust2017-06-19
| | | | PiperOrigin-RevId: 159477794
* Remove TensorBoard from the TensorFlow repository.Gravatar Dandelion Man?2017-06-15
| | | | | | Its new home is at https://github.com/tensorflow/tensorboard PiperOrigin-RevId: 159178103
* Enable setting remote configuration for cuda and python as an env variableGravatar A. Unique TensorFlower2017-06-15
| | | | PiperOrigin-RevId: 159176334
* Enabling cuda configuration to use a remotely generated configuration. This ↵Gravatar A. Unique TensorFlower2017-06-15
| | | | | | will prepare TF for use of Bazel's new remote execution api. PiperOrigin-RevId: 159098871
generated by cgit v1.2.3 (git 2.39.1) at 2024-07-06 19:17:39 +0000