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* Merge changes from github.Gravatar Shanqing Cai2017-04-22
| | | | Change: 153925676
* Automated rollback of change 153736477Gravatar A. Unique TensorFlower2017-04-21
| | | | Change: 153825726
* Automated rollback of change 153709951Gravatar Shanqing Cai2017-04-20
| | | | Change: 153736477
* Adding python_configure.bzl to (partially) replace python_config.shGravatar A. Unique TensorFlower2017-04-20
| | | | Change: 153709951
* removing unused variable LLVM_HOST_COMPILER_PATHGravatar A. Unique TensorFlower2017-04-20
| | | | Change: 153707385
* Update LLVM version to upstream revision r300726.Gravatar Benjamin Kramer2017-04-19
| | | | Change: 153642821
* Cleaning up duplicate calls to _tpl in cuda_configure.bzlGravatar A. Unique TensorFlower2017-04-18
| | | | Change: 153467463
* Added hpp files to cuda_headers target.Gravatar A. Unique TensorFlower2017-04-13
| | | | Change: 153075650
* Add support for solvers based on the Nvidia cuSolver library.Gravatar A. Unique TensorFlower2017-04-10
| | | | | Implement a GPU version of tf.cholesky as a first example. Change: 152756373
* Add AudioSpectrogram op to TensorFlow for audio feature generationGravatar Pete Warden2017-04-05
| | | | Change: 152332221
* Merge changes from github.Gravatar A. Unique TensorFlower2017-04-04
| | | | Change: 152200430
* Enable snappy.Gravatar Saurabh Saxena2017-03-30
| | | | | Fix implicit type cast bug in snappy_inputbuffer. Bitwise OR of unsigned int and signed char can cause unexpected issues so we explicitly cast it to unsigned char. Change: 151737878
* Add cuda_clang build configuration that allows to use clang as a CUDA compiler.Gravatar A. Unique TensorFlower2017-03-30
| | | | Change: 151705528
* Add markdown support to TensorBoard text plugin.Gravatar Dandelion Mané2017-03-28
| | | | | | | The markdown is sanitized, so TensorBoard will be safe from XSS attacks. Added markdown, bleach, and html5lib as dependencies. Change: 151479803
* Internal change.Gravatar A. Unique TensorFlower2017-03-23
| | | | Change: 151064926
* Merge changes from github.Gravatar Martin Wicke2017-03-23
| | | | Change: 151046259
* 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
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