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* Build scripts in public repo need to be adjusted to match internal build.Gravatar A. Unique TensorFlower2016-11-21
| | | | Change: 139832288
* Merge changes from github.Gravatar A. Unique TensorFlower2016-11-17
| | | | Change: 139516555
* Migrate TensorFlow to libjpeg-turboGravatar Justine Tunney2016-11-15
| | | | | | | | | This makes JPEG go 2x faster on x86_64 (k8), arm7, and arm8. On all other CPU targets, e.g. x86, JPEG performance should be the same as it was before. Fixes #4807 Change: 139295768
* Add a small description for the BUILD file under sycl/sycl.Gravatar Gunhan Gulsoy2016-11-12
| | | | Change: 138980879
* Internal only changesGravatar Gunhan Gulsoy2016-11-11
| | | | Change: 138937852
* List all the files in third_party/sycl in a new "all_files" filegroup, which ↵Gravatar Benoit Steiner2016-11-09
| | | | | | is then added to the list of dependencies in the main "all_opensource_files" filegroup Change: 138698669
* Added a new rule to handle the OpenCL backend: we comment it out inGravatar Benoit Steiner2016-11-09
| | | | | google3, and enable it in github. This is because we haven't imported the backed in google3 just yet. Change: 138689620
* Merge changes from github.Gravatar Benoit Steiner2016-11-09
| | | | Change: 138675832
* Merge changes from github.Gravatar Vijay Vasudevan2016-11-03
| | | | Change: 138143557
* Merge changes from github.Gravatar Xiaoqiang Zheng2016-10-28
| | | | Change: 137532946
* Upgrade build-from-source swig version to 3.0.8 to avoid python 3.5 issuesGravatar Shanqing Cai2016-10-26
| | | | | | | | | This should address some of the ongoing python 3.5-related build failures in: nightly-matrix-cpu nightly-matrix-linux-gpu nightly-matrix-mac-gpu nightly-python35-linux-cpu Change: 137268906
* Remove unused eigen files.Gravatar Yifei Feng2016-10-25
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* Automatically build SWIG from sourceGravatar Justine Tunney2016-10-20
| | | | | | | | | | This change allows Bazel to fetch and build SWIG rather than getting it from the system. This change also improves the i/o performance of the SWIG build, makes it hermetically sealed, and ensures tf_py_wrap_cc() can function correctly across Bazel repositories. CC: #4983 Change: 136783531
* Merge changes from github.Gravatar Patrick Nguyen2016-10-20
| | | | Change: 136750267
* Internal change.Gravatar A. Unique TensorFlower2016-10-19
| | | | Change: 136615121
* Internal change.Gravatar A. Unique TensorFlower2016-10-17
| | | | Change: 136423498
* Merge changes from github.Gravatar A. Unique TensorFlower2016-10-10
| | | | Change: 135698415
* Remove unused files.Gravatar Yifei Feng2016-10-07
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* Merge changes from github.Gravatar Jonathan Hseu2016-09-29
| | | | Change: 134721831
* Optimize Bazel external dependenciesGravatar Justine Tunney2016-09-21
| | | | | | | | | | | | | | | | | | | | | | This change does the following: - Always use {,new_}http_archive rather than git_repository - Make liberal use of strip_prefix - Clarify licenses() in BUILD files - On POSIX include headers like a normal C/C++ program This change accomplishes the following: - Reduce download size >100MB: The biggest culprit is grpc which has tens of thousands of commits in its GitHub repository. - Reduce disk size >200MB: On disk, grpc takes up 250MB when cloned even though the tarball of the git repo is 3.2MB. By never using git externals, we save on network. - Consume less cpu: Cloning git repositories is much slower than downloading and extracting a tarball. Change: 133895791
* Merge changes from github.Gravatar Martin Wicke2016-09-21
| | | | Change: 133874452
* Move tensorflow/third_party/hadoop to third_party/hadoop.Gravatar Jonathan Hseu2016-09-21
| | | | Change: 133842773
* Dropped support for gcudacc in the the build files.Gravatar Benoit Steiner2016-09-20
| | | | Change: 133779175
* Removed all references to gcudacc in the crosstool wrapper.Gravatar Benoit Steiner2016-09-19
| | | | Change: 133650335
* Remove unused files.Gravatar Yifei Feng2016-09-19
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* Merge changes from github.Gravatar Andrew Harp2016-09-14
| | | | Change: 133096559
* Merge changes from github.Gravatar Dan Mané2016-09-09
| | | | Change: 132733397
* Merge changes from github.Gravatar A. Unique TensorFlower2016-08-26
| | | | Change: 131437429
* Merge changes from github.Gravatar A. Unique TensorFlower2016-08-25
| | | | Change: 131310818
* Add an op for singular value decomposition (SVD) of a dense matrix or ↵Gravatar A. Unique TensorFlower2016-08-01
| | | | | | | | | | | | | batches of dense matrices. This calls Eigen::JacobiSVD<Matrix, Eigen::HouseholderQRPreconditioner> which is known to be rather slow. This change is primarily intended to get the TensorFlow interfaces and functionality in place. We intend to swap out the "backend" with a higher performance algorithm implementation in the future. This CL also contains a small refactoring of the LinearAlgebraOp base class: 1. I moved the initial processing of inputs and outputs into separate helper functions so Compute() is not so long. 2. The derived classes are now allowed to return fewer output matrix shapes (n) than the number of op outputs (m) in which case empty (shape[0]) tensors are returned for the last m-n outputs. Fixed a few Python linter errors that were blocking presubmit. Change: 128990912
* Merge changes from github.Gravatar A. Unique TensorFlower2016-07-31
| | | | Change: 128958134
* Merge changes from github.Gravatar Martin Wicke2016-07-25
| | | | Change: 128401884
* Switched to the latest version of Eigen that provides significant performanceGravatar Benoit Steiner2016-07-12
| | | | | | improvements for fp16 Added SpecialFunctions to the list of eigen headers TensorFlow depends on Change: 127264575
* Automated rollback of change 127233960Gravatar Vijay Vasudevan2016-07-12
| | | | Change: 127253427
* Switched to the latest version of Eigen that provides significant performanceGravatar Benoit Steiner2016-07-12
| | | | | improvements for fp16 Change: 127233960
* Merge changes from github.Gravatar A. Unique TensorFlower2016-06-30
| | | | Change: 126335170
* Adds a "currentThreadIndex" method to Eigen's ThreadPoolDevice. Use it to ↵Gravatar A. Unique TensorFlower2016-06-27
| | | | | | handle per-thread buffer allocation for the tileable executor without resorting to thread_local that is not fully supported on Android. Change: 126009029
* Upgraded Eigen to the latest version that provides new scan operations. This ↵Gravatar Benoit Steiner2016-06-23
| | | | | | will enable the implementation of the cumsum operation in TensorFlow Change: 125697517
* Enable the vectorization of adds and mult on fp16s. This improves theGravatar Benoit Steiner2016-06-08
| | | | | performance of the toy mnist training by 1 order of magnitude Change: 124374286
* Improved the performance of full reductions on GPU.Gravatar Benoit Steiner2016-06-07
| | | | | | | | | | | | | | | | | NEW BM_fullReduction/10 4591 4595 153149 20.8M items/s BM_fullReduction/64 5073 5075 100000 770.0M items/s BM_fullReduction/512 9067 9070 75263 26.9G items/s BM_fullReduction/4k 243984 244125 2868 64.0G items/s BM_fullReduction/5k 359125 359273 1951 64.8G items/s OLD BM_fullReduction/10 9085 9087 74395 10.5M items/s BM_fullReduction/64 9478 9478 72014 412.1M items/s BM_fullReduction/512 14643 14646 46902 16.7G items/s BM_fullReduction/4k 260338 260384 2678 60.0G items/s BM_fullReduction/5k 385076 385178 1818 60.5G items/s Change: 124290852
* Enable fp16 for most of the pooling ops (MaxPool, AvgPool, associatedGravatar Benoit Steiner2016-06-06
| | | | | gradients, some variants etc.). Change: 124197406
* Merge changes from github.Gravatar Martin Wicke2016-06-06
| | | | Change: 124183870
* Enable fp16 for most of the pooling ops (MaxPool, AvgPool, associatedGravatar A. Unique TensorFlower2016-06-03
| | | | | gradients, some variants etc.). Change: 123967787
* Enable fp16 for most of the pooling ops (MaxPool, AvgPool, associatedGravatar Benoit Steiner2016-06-03
| | | | | gradients, some variants etc.). Change: 123967117
* Update copyright for 3p/tf.Gravatar A. Unique TensorFlower2016-06-02
| | | | Change: 123901292
* Added support for convolutions of 16bit floats on CPUGravatar Benoit Steiner2016-05-31
| | | | Change: 123659102
* Fix Tensorflow compilation error that comes up when TF is used as a ↵Gravatar Kiril Gorovoy2016-05-27
| | | | | | submodule and compiled for GPU. Change: 123468144
* Add a new contrib/avro directory and the initial schema that resemblesGravatar A. Unique TensorFlower2016-05-27
| | | | | tf.train.Example. Change: 123445810
* Pass -O3 when building tensorflow with clang -c opt. (This isn't hookedGravatar A. Unique TensorFlower2016-05-25
| | | | | up to the OSS build yet, we're working on it.) Change: 123248081
* Upgraded to the latest version of Eigen that supports convolutions on fp16Gravatar Benoit Steiner2016-05-25
| | | | Change: 123238579
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