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* Add //tensorflow:install_headers targetGravatar Jason Zaman2018-09-05
* Bug fixes and 16 bit matmul added in CXX11/src/FixedPoint.Gravatar A. Unique TensorFlower2018-07-27
* Remove tensorflow/opensource_only/Core as it is not used by tensorflow.Gravatar A. Unique TensorFlower2018-07-26
* Delete unused code in CXX11/src/NeuralNetworksGravatar A. Unique TensorFlower2018-07-26
* Merge changes from github.Gravatar Yifei Feng2018-07-02
* Merge changes from github.Gravatar Patrick Nguyen2018-05-01
* Remove THIRD_PARTY_ from #include guardsGravatar Sanjoy Das2018-01-24
* Buildifier cleanup.Gravatar Yifei Feng2018-01-22
* Merge changes from github.Gravatar A. Unique TensorFlower2017-12-22
* Added CPU matrix exponential op to TensorFlow.Gravatar A. Unique TensorFlower2017-11-07
* Merge changes from github.Gravatar Benoit Steiner2017-10-24
* Add a BUILD file for makefile build.Gravatar Gunhan Gulsoy2017-10-20
* Internal change.Gravatar A. Unique TensorFlower2017-05-17
* Merge changes from github.Gravatar Benoit Steiner2017-05-11
* Merged commit includes the following changes:Gravatar A. Unique TensorFlower2017-05-10
* Internal change.Gravatar A. Unique TensorFlower2017-03-23
* Merge changes from github.Gravatar Dandelion Mané2017-03-10
* Merge changes from github.Gravatar Andrew Harp2017-03-01
* "the the" -> "the"Gravatar A. Unique TensorFlower2017-02-21
* Merge changes from github.Gravatar Vijay Vasudevan2017-02-17
* Internal change.Gravatar A. Unique TensorFlower2017-02-09
* Deleted references to non existent //third_party/mkl libraryGravatar Benoit Steiner2017-02-08
* Merge changes from github.Gravatar Benoit Steiner2017-02-08
* Merge changes from github.Gravatar Patrick Nguyen2017-01-12
* Merge changes from github.Gravatar Jonathan Hseu2016-12-22
* Sync the github and local versions of the ThreadPool headerGravatar Benoit Steiner2016-12-15
* Add licenses.Gravatar A. Unique TensorFlower2016-11-28
* Merge changes from github.Gravatar Benoit Steiner2016-11-09
* Merge changes from github.Gravatar Xiaoqiang Zheng2016-10-28
* Remove unused eigen files.Gravatar Yifei Feng2016-10-25
* Internal change.Gravatar A. Unique TensorFlower2016-10-19
* Merge changes from github.Gravatar A. Unique TensorFlower2016-10-10
* Optimize Bazel external dependenciesGravatar Justine Tunney2016-09-21
* Remove unused files.Gravatar Yifei Feng2016-09-19
* Add an op for singular value decomposition (SVD) of a dense matrix or batches...Gravatar A. Unique TensorFlower2016-08-01
* Merge changes from github.Gravatar Martin Wicke2016-07-25
* Switched to the latest version of Eigen that provides significant performanceGravatar Benoit Steiner2016-07-12
* Automated rollback of change 127233960Gravatar Vijay Vasudevan2016-07-12
* Switched to the latest version of Eigen that provides significant performanceGravatar Benoit Steiner2016-07-12
* Adds a "currentThreadIndex" method to Eigen's ThreadPoolDevice. Use it to han...Gravatar A. Unique TensorFlower2016-06-27
* Upgraded Eigen to the latest version that provides new scan operations. This ...Gravatar Benoit Steiner2016-06-23
* Enable the vectorization of adds and mult on fp16s. This improves theGravatar Benoit Steiner2016-06-08
* Improved the performance of full reductions on GPU.Gravatar Benoit Steiner2016-06-07
* Enable fp16 for most of the pooling ops (MaxPool, AvgPool, associatedGravatar Benoit Steiner2016-06-06
* Enable fp16 for most of the pooling ops (MaxPool, AvgPool, associatedGravatar A. Unique TensorFlower2016-06-03
* Enable fp16 for most of the pooling ops (MaxPool, AvgPool, associatedGravatar Benoit Steiner2016-06-03
* Added support for convolutions of 16bit floats on CPUGravatar Benoit Steiner2016-05-31
* Upgraded to the latest version of Eigen that supports convolutions on fp16Gravatar Benoit Steiner2016-05-25
* Switched to the latest version of Eigen that performs much better on machinesGravatar Benoit Steiner2016-05-16
* Made the contraction code compatible with fp16Gravatar Benoit Steiner2016-05-12