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* Moves generated android_sdk() and android_ndk() repo rules out of WORKSPACE.Gravatar Michael Case2018-06-05
| | | | | | | | | | | | | These rules currently get written by configure.py script to WORKSPACE file which is not ideal since (1) WORKSPACE file is tracked by git and (2) we require users to manually delete the rules in order to update/regenerate them. Moving these rules into an external repo that is generated based on several ENV variables set by the configure.py script. Modifying any of these ENV variables will cause the rules to be updated. PiperOrigin-RevId: 199388460
* Resubmitting CL 196349902: Adding cuDNN header dependency to targets that ↵Gravatar A. Unique TensorFlower2018-06-01
| | | | | | include the cuDNN header file. PiperOrigin-RevId: 198869605
* Merge changes from github.Gravatar Yifei Feng2018-05-24
| | | | | | | Revert #18413. Too many internal test failures due to the name scope change caused by this change. Revert #18192. Cannot use re2::StringPiece internally. Need alternative for set call. Will pull and clean this up in a separate change. PiperOrigin-RevId: 197991247
* Internal cleanup to remove a difference from the code on github.Gravatar A. Unique TensorFlower2018-05-23
| | | | PiperOrigin-RevId: 197817738
* [XLA:TF] Run buildifier on llvm.BUILDGravatar Benjamin Kramer2018-05-22
| | | | | | | Buildifier recently started sorting load args https://github.com/bazelbuild/buildtools/commit/3ac5f85b22bc44820c041d0cacd3bc2ed54e7742 which causes diffs in the output. PiperOrigin-RevId: 197556554
* Unifiy the cuda toolchain definition of gcc/nvcc and cuda-clang.Gravatar A. Unique TensorFlower2018-05-22
| | | | | | | | | | | | | | | | | gcc >= 7 will change how it treats -pie [1]; passing -pie after -shared on the command line is not possible any more; given that the legacy way to configure flags in the gcc/nvcc toolchain does not allow control over where the flags go or how to provide -pie only for linking of binaries, we can prevent this from breaking in the future by also using the new feature mechanism for gcc/nvcc. In addition to moving the gcc-specific workarounds in the toolchain to cuda_configure.bzl, document them, so we don't need to rediscover them in the future. [1] https://gcc.gnu.org/bugzilla/show_bug.cgi?id=77464 PiperOrigin-RevId: 197522719
* s/tfe.GradientTape/tf.GradientTape/Gravatar Asim Shankar2018-05-21
| | | | | | s/tfe.enable_eager_execution/tf.enable_eager_execution/ PiperOrigin-RevId: 197500751
* Update downloadable clang to a new revisionGravatar Ilya Biryukov2018-05-18
| | | | PiperOrigin-RevId: 197121447
* Automated g4 rollback of changelist 196349902Gravatar A. Unique TensorFlower2018-05-12
| | | | PiperOrigin-RevId: 196387391
* Adding cuDNN header dependency to targets that include the cuDNN header file.Gravatar A. Unique TensorFlower2018-05-11
| | | | PiperOrigin-RevId: 196349902
* Internal changeGravatar Smit Hinsu2018-05-10
| | | | PiperOrigin-RevId: 196205436
* Internal change.Gravatar Yifei Feng2018-05-09
| | | | PiperOrigin-RevId: 196020032
* Update version of downloadable clang toolchainGravatar Ilya Biryukov2018-05-08
| | | | PiperOrigin-RevId: 195849091
* Fix Raspberry Pi build by making PNG not try to use Neon (by autodetect).Gravatar Andrew Selle2018-05-08
| | | | | | | This involves patching to override the png neon option. In the future it might be worth enabling PNG optimization. PiperOrigin-RevId: 195846513
* Fix landscape layout.Gravatar Shashi Shekhar2018-05-07
| | | | PiperOrigin-RevId: 195506194
* [XLA] Remove template keyword on non-template methods.Gravatar Benjamin Kramer2018-05-04
| | | | | | This is an error with clang trunk. PiperOrigin-RevId: 195394277
* [XLA] Redesign: add ExecuteGraph to grpc service.Gravatar A. Unique TensorFlower2018-05-03
| | | | PiperOrigin-RevId: 195281004
* Merge changes from github.Gravatar Patrick Nguyen2018-05-01
| | | | PiperOrigin-RevId: 194997009
* [TF:XLA] Bump open source llvm revision to r330926Gravatar Sanjoy Das2018-04-27
| | | | PiperOrigin-RevId: 194530610
* Merge changes from github.Gravatar Yifei Feng2018-04-23
| | | | PiperOrigin-RevId: 194031845
* Speed up safe_strtod and safe_strtof functions by using double-conversion ↵Gravatar akindyakov2018-04-20
| | | | | | | | library Closes #12102. PiperOrigin-RevId: 193696537
* Internal change.Gravatar Anna R2018-04-16
| | | | PiperOrigin-RevId: 193119953
* Internal change.Gravatar Anna R2018-04-13
| | | | PiperOrigin-RevId: 192821482
* Upgrade libpngGravatar Justine Tunney2018-04-05
| | | | PiperOrigin-RevId: 191840652
* Add support for NCCL2. The configure script asks for what version of NCCL to ↵Gravatar A. Unique TensorFlower2018-04-05
| | | | | | | | use. The default is still NCCL 1 from GitHub. If the user chooses NCCL 2, it asks for the install directory. The nccl_configure.bzl generates two different BUILD files based on the chose NCCL version. For NCCL 1, it aliases to the existing 'nccl_archive' http_repo on GitHub. For NCCL 2, it creates a target containing the NCCL 2 library and headers from the chosen install directory. PiperOrigin-RevId: 191718007
* Upgrade Snappy to latest versionGravatar Justine Tunney2018-04-05
| | | | | | | They added big endian preprocessor macros in recent releases. Hopefully this should do the right thing on IBM mainframes. PiperOrigin-RevId: 191705207
* Upgrade zlib to latest versionGravatar Justine Tunney2018-04-04
| | | | PiperOrigin-RevId: 191696213
* [TF:XLA] Bump open source llvm revision to r329057Gravatar Benjamin Kramer2018-04-03
| | | | | | DataTypes.h is no longer a generated header. X86DisassemblerDecoderCommon.h is now part of :support. PiperOrigin-RevId: 191438031
* Automated g4 rollback of changelist 190858242Gravatar Jianwei Xie2018-03-29
| | | | PiperOrigin-RevId: 190953197
* Remove all_opensource_files. It's not needed any more.Gravatar Martin Wicke2018-03-28
| | | | PiperOrigin-RevId: 190878279
* Automated g4 rollback of changelist 190835392Gravatar Anna R2018-03-28
| | | | PiperOrigin-RevId: 190858242
* Merge changes from github.Gravatar Jianwei Xie2018-03-28
| | | | PiperOrigin-RevId: 190835392
* Allow positional arguments in tf.keras.Model subclassesGravatar Allen Lavoie2018-03-28
| | | | | | | | | | Makes the tf.keras.Layer.__call__ signature identical to tf.layers.Layer.__call__, but makes passing positional arguments other than "inputs" an error in most cases. The only case it's allowed is subclassed Models which do not have an "inputs" argument to their call() method. This means subclassed Models no longer need to pass all but the first argument as a keyword argument (or do list packing/unpacking) when call() takes multiple Tensor arguments. Includes errors for cases where whether an argument indicates an input is ambiguous, but otherwise doesn't do much to support non-"inputs" call() signatures for shape inference or deferred Tensors. The definition of an input/non-input is pretty clear, so that cleanup will mostly be tracking down all of the users of "self.call" and getting them to pass inputs as positional arguments if necessary. PiperOrigin-RevId: 190787899
* Convert the eager SPINN example to use tf.keras.Model and object-based ↵Gravatar Allen Lavoie2018-03-25
| | | | | | | | checkpointing. Uses a more recursive/functional tracking style which avoids numbering layers. Maybe this is too magical and we should adapt tf.keras.Sequential first? Let me know what you think. PiperOrigin-RevId: 190282346
* Merge changes from github.Gravatar Benoit Steiner2018-03-22
| | | | PiperOrigin-RevId: 190161440
* Allow to download clang and use clang for CPU builds.Gravatar Ilya Biryukov2018-03-22
| | | | | | | | | | | Previously we only allowed to download clang when doing GPU builds. The added skylark files use bazel's autoconf scripts, which were only added in 0.10.0. To provide nice error message for older versions of bazel (i.e. 'version is less than 0.10' vs 'can't load @bazel_tools/cpp/...'), we move the bazel version check into WORKSPACE file from workspace.bzl. PiperOrigin-RevId: 190050798
* Merge changes from github.Gravatar Jacques Pienaar2018-03-21
| | | | PiperOrigin-RevId: 189945839
* Fix build breakage with downloadable clang and -fopenmp.Gravatar Ilya Biryukov2018-03-19
| | | | | | | | | | | By disabling openmp when building with clang. If we want to enable openmp with clang, we'll probably have to have libomp as an explicit dependency. This fixes a breakage found by OS CI: https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu-clang/215/ PiperOrigin-RevId: 189644968
* Automated g4 rollback of changelist 189231636Gravatar A. Unique TensorFlower2018-03-15
| | | | PiperOrigin-RevId: 189258641
* Merge changes from github.Gravatar Jacques Pienaar2018-03-15
| | | | PiperOrigin-RevId: 189231636
* update docker containers used for remote CPU/GPU builds and the ↵Gravatar A. Unique TensorFlower2018-03-08
| | | | | | corresponding script. PiperOrigin-RevId: 188324090
* Add alternative paths for CUDA installation.Gravatar A. Unique TensorFlower2018-03-05
| | | | | | This detects negativo17's CUDA packages for Fedora. PiperOrigin-RevId: 187923472
* Updating toolchain configs for GPU buildsGravatar A. Unique TensorFlower2018-03-02
| | | | PiperOrigin-RevId: 187643585
* Make crosstools ready for introduction of c++-link-nodeps-dynamic-libraryGravatar A. Unique TensorFlower2018-02-27
| | | | PiperOrigin-RevId: 187191730
* * CUB updated to 1.8.0Gravatar A. Unique TensorFlower2018-02-23
| | | | | | * updated ShuffleIndex because of API change PiperOrigin-RevId: 186822637
* Merge changes from github.Gravatar Yifei Feng2018-02-22
| | | | PiperOrigin-RevId: 186674197
* Fix compile errors by patching eigen locally.Gravatar Ilya Biryukov2018-02-22
| | | | PiperOrigin-RevId: 186592198
* Merge changes from github.Gravatar Ankur Taly2018-02-16
| | | | PiperOrigin-RevId: 186073337
* TFE SPINN example: use tensor instead of numpy arrayGravatar Shanqing Cai2018-02-15
| | | | | | in inference output. PiperOrigin-RevId: 185939805
* tfe SPINN example: Add inference; fix serializationGravatar Shanqing Cai2018-02-13
| | | | | | * Also de-flake a test. PiperOrigin-RevId: 185637742
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