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* Update LLVM version to upstream revision r297704.Gravatar Peter Hawkins2017-03-14
| | | | Change: 150078943
* Merge changes from github.Gravatar Dandelion Mané2017-03-10
| | | | Change: 149800363
* Merge changes from github.Gravatar Andrew Harp2017-03-01
| | | | Change: 148954491
* Set HAVE_SNPRINTF for nasm. This is needed to make tensorflow compile withGravatar A. Unique TensorFlower2017-02-24
| | | | | clang. Change: 148447802
* "the the" -> "the"Gravatar A. Unique TensorFlower2017-02-21
| | | | Change: 148163782
* Update LLVM release to @295711 to fix build breakage.Gravatar Peter Hawkins2017-02-21
| | | | Change: 148158849
* Merge changes from github.Gravatar Vijay Vasudevan2017-02-17
| | | | Change: 147897309
* Internal change.Gravatar A. Unique TensorFlower2017-02-09
| | | | Change: 147051664
* Deleted references to non existent //third_party/mkl libraryGravatar Benoit Steiner2017-02-08
| | | | Change: 146970526
* Merge changes from github.Gravatar Benoit Steiner2017-02-08
| | | | Change: 146918929
* CudaRoot() returns the configured CUDA toolkit path.Gravatar Jingyue Wu2017-02-01
| | | | | | | Fixes the problem of XLA being unable to find libdevice files if not executed through bazel. For example, http://stackoverflow.com/questions/41729019/notfounderror-running-tensorflow-xla-example-libdevice-compute-35-10-bc/41800414#41800414 Change: 146329331
* Merge changes from github.Gravatar A. Unique TensorFlower2017-02-01
| | | | Change: 146316196
* Update LLVM to r293266.Gravatar Peter Hawkins2017-01-27
| | | | Change: 145804953
* Stop using DSO loader for CUDA SDK librariesGravatar A. Unique TensorFlower2017-01-25
| | | | | The DSO loader intermediate layer is no longer required, so it is removed here. Change: 145589281
* Upgrade highwayhashGravatar Justine Tunney2017-01-25
| | | | | | | | The updated version contains a fix that makes hashing consistent when CPU endian changes. Fixed #6823 Change: 145563886
* Add contrib/nccl for using all-reduce collectives across GPUs of a singleGravatar A. Unique TensorFlower2017-01-24
| | | | | server. Change: 145475050
* Merge changes from github.Gravatar Shanqing Cai2017-01-23
| | | | Change: 145363673
* Refactor TensorBoard into WSGI application. Adds werkzeug pip dependency toGravatar Dandelion Mané2017-01-21
| | | | | | | | | | | | | | | tensorflow. This change is motivated by the need to use middleware to provide authentication internally. It also makes the TensorBoard backend more embeddable/re-usable. * Adds a dependency on werkzeug for convenience in setting up WSGI apps. * Replaces "TensorBoardHandler" with "TensorBoardWSGIApp". Now each route is a WSGI application. Generally uses convenient werkzeug decorators for making these applications. * Removes handler.py, server.py; these are merged into application.py * The Respond method in http.py now returns a Werkzeug Response object. * Modify projector plugin to also be a WSGI application. * Add a few error messages for helpfulness. * Remove some dead code along the way. It has to do with sampling, but we never incorporated it anywhere. Change: 145183192
* Add werkzeug as a dependency to TensorBoard.Gravatar Dandelion Mané2017-01-18
| | | | | This is in preparation for making TensorBoard a WSGI app. Change: 144917110
* Bazel dependency fix of the llvm and jemalloc packages that cause issues ↵Gravatar Kiril Gorovoy2017-01-17
| | | | | | when TensorFlow is linked as a submodule. Change: 144764356
* Merge changes from github.Gravatar Patrick Nguyen2017-01-12
| | | | Change: 144396000
* Temporary fix of bazel dependencies when including TensorFlow as a ↵Gravatar Kiril Gorovoy2017-01-12
| | | | | | submodule. Undo change when this use-case is supported in native.http_archive in Bazel. Change: 144390772
* Switch open-source to use jemalloc for CPU Tensor memory allocation, gRPC, ↵Gravatar Jonathan Hseu2017-01-11
| | | | | | | | and other places where we call malloc/free. - Only enabled on Linux for now. - Added as a ./configure option defaulting to enabled. Change: 144266237
* Initial open-source release of XLA: Accelerated Linear Algebra.Gravatar Peter Hawkins2017-01-09
| | | | | | | XLA is a compiler-based linear algebra execution engine that targets CPUs, GPUs and custom accelerators. XLA is still experimental; we are releasing it early to get the community involved. Change: 143990941
* Replaced cuda_path_flags() macro with a more genericGravatar A. Unique TensorFlower2017-01-06
| | | | | cuda_default_copts() and moved CUDA-specific options there. Change: 143811735
* Merge changes from github.Gravatar Rohan Jain2017-01-05
| | | | Change: 143710639
* Update LLVM package.Gravatar Peter Hawkins2017-01-05
| | | | Change: 143689873
* Merge changes from github.Gravatar A. Unique TensorFlower2017-01-02
| | | | Change: 143412147
* Internal only changesGravatar A. Unique TensorFlower2016-12-29
| | | | Change: 143204614
* Move most foo.BUILD files into third_partyGravatar Justine Tunney2016-12-29
| | | | | This frees up space on the TensorFlow GitHub home page! Change: 143161497
* Add missing numpy and six depsGravatar Justine Tunney2016-12-28
| | | | Change: 143131671
* Make TensorFlow build libcurl from scratchGravatar Justine Tunney2016-12-27
| | | | | | | Google Cloud Platform support is now available for everyone by default. Fixes #5349 Change: 143077241
* Merge changes from github.Gravatar Jonathan Hseu2016-12-22
| | | | Change: 142805270
* Replace all uses of tf.complex_abs with tf.abs.Gravatar A. Unique TensorFlower2016-12-19
| | | | Change: 142501037
* Sync the github and local versions of the ThreadPool headerGravatar Benoit Steiner2016-12-15
| | | | Change: 142169284
* Merge changes from github.Gravatar Martin Wicke2016-12-14
| | | | Change: 142074581
* Internal change.Gravatar Martin Wicke2016-12-14
| | | | Change: 142041070
* Remove stale files.Gravatar Yifei Feng2016-12-13
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* Remove leftover file.Gravatar Gunhan Gulsoy2016-12-11
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* Add placeholder plugins list to tensorflow/python:pywrap_tensorflow build ↵Gravatar Peter Hawkins2016-12-09
| | | | | | | | target. Add missing zlib dependency to LLVM build file. Various other small cleanups. Change: 141557751
* Merge changes from github.Gravatar Andrew Harp2016-12-08
| | | | | | | | Additionally: - change single quotes to double quotes to make path rewriting easier - guard windows lib reference with PLATFORM_WINDOWS - fixed failing kmeans test Change: 141515942
* Add cuda_is_configured() build macro for testing whether CUDA was enabled at ↵Gravatar Peter Hawkins2016-12-08
| | | | | | configure time. Change: 141474932
* Fix static initialization based registry patterns with shared libraries when ↵Gravatar Peter Hawkins2016-12-08
| | | | | | built with --config=cuda. Change: 141406402
* Separate the stream executor CUDA plugin into its own build target. This ↵Gravatar Peter Hawkins2016-12-07
| | | | | | | allows non --config=cuda builds to link the CUDA plugins if desired. Add build macro if_cuda_is_configured() that tests whether CUDA was enabled at configure time, rather than whether the current BUILD is using a CUDA compiler. Change: 141375030
* Add -lm to the LLVM FileCheck tool to fix a link failure with --config=cuda ↵Gravatar Peter Hawkins2016-12-07
| | | | | | builds. Change: 141352525
* Locate libdevice files for OSS build.Gravatar Jingyue Wu2016-12-06
| | | | | | | | | | 1. Created open-source target libdevice_root that wraps all libdevice files. 2. platform/posix/cuda_libdevice_path depends on the libdevice_root target. 3. Added cuda_libdevice_path_test that verifies libdevice files exist in the computed libdevice directory. Change: 141237087
* Add "-lm" to LLVM link options for llbm-tblgen. Fixes bazel build with ↵Gravatar Peter Hawkins2016-12-01
| | | | | | --config=cuda. Change: 140807677
* Add missing target to LLVM Build file.Gravatar Peter Hawkins2016-11-30
| | | | Change: 140616374
* Small fixes to logging and stacktrace platform libraries.Gravatar Peter Hawkins2016-11-29
| | | | Change: 140533246
* Add licenses.Gravatar A. Unique TensorFlower2016-11-28
| | | | Change: 140396287
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