tensorflow - machine learning framework

	Commit message (Collapse)	Author	Age
*	Merge changes from github.	Martin Wicke	2016-06-06
\| \| \| \|	Change: 124183870
*	Enable fp16 for most of the pooling ops (MaxPool, AvgPool, associated	A. Unique TensorFlower	2016-06-03
\| \| \| \| \|	gradients, some variants etc.). Change: 123967787
*	Enable fp16 for most of the pooling ops (MaxPool, AvgPool, associated	Benoit Steiner	2016-06-03
\| \| \| \| \|	gradients, some variants etc.). Change: 123967117
*	Update copyright for 3p/tf.	A. Unique TensorFlower	2016-06-02
\| \| \| \|	Change: 123901292
*	Added support for convolutions of 16bit floats on CPU	Benoit Steiner	2016-05-31
\| \| \| \|	Change: 123659102
*	Fix Tensorflow compilation error that comes up when TF is used as a ↵	Kiril Gorovoy	2016-05-27
\| \| \| \| \| \|	submodule and compiled for GPU. Change: 123468144
*	Add a new contrib/avro directory and the initial schema that resembles	A. Unique TensorFlower	2016-05-27
\| \| \| \| \|	tf.train.Example. Change: 123445810
*	Pass -O3 when building tensorflow with clang -c opt. (This isn't hooked	A. Unique TensorFlower	2016-05-25
\| \| \| \| \|	up to the OSS build yet, we're working on it.) Change: 123248081
*	Upgraded to the latest version of Eigen that supports convolutions on fp16	Benoit Steiner	2016-05-25
\| \| \| \|	Change: 123238579
*	Merge changes from github.	Derek Murray	2016-05-23
\| \| \| \|	Change: 123026122
*	Google authentication for GCS file system.	Alexey Surkov	2016-05-19
\| \| \| \| \| \| \|	Implements an authentication mechanism based on Application Default Credentials: https://developers.google.com/identity/protocols/application-default-credentials https://developers.google.com/identity/protocols/OAuth2ServiceAccount Change: 122741738
*	Switched to the latest version of Eigen that performs much better on machines	Benoit Steiner	2016-05-16
\| \| \| \| \| \| \| \|	with many cpu cores For example, the wall time for the following tutorial went down from 13m35 to 5m27: bazel run -c opt --copt=-mavx tensorflow/examples/tutorials/word2vec/word2vec_basic Change: 122462177
*	Move if_cuda build macro into //third_party/gpus/cuda/build_defs.bzl,	A. Unique TensorFlower	2016-05-13
\| \| \| \| \| \|	and remove the cuda_crosstool_condition build condition. Now if_cuda is just using_nvcc \|\| using_gcudacc. Change: 122291892
*	Add //third_party/gpus/cuda:using_clang build condition.	A. Unique TensorFlower	2016-05-13
\| \| \| \| \| \|	This is unused at the moment, but will eventually let us build CUDA code with vanilla clang. Change: 122289910
*	Pass --define=using_cuda_nvcc to CUDA builds.	A. Unique TensorFlower	2016-05-13
\| \| \| \| \| \| \| \|	This has no practical effect, as CUDA builds are always with nvcc, but it lets us modify the build config rule //third_party/gpus/cuda:using_nvcc so it returns true, rather than false, for CUDA builds. Change: 122288952
*	Made the contraction code compatible with fp16	Benoit Steiner	2016-05-12
\| \| \| \|	Change: 122192081
*	Upgraded to the latest version of Eigen that speeds up full reductions on fp16	Benoit Steiner	2016-05-12
\| \| \| \| \|	by about 3 orders of magnitude as well as some partial reductions by 30% when using cuda 7.5 or above Change: 122191448
*	Merge changes from github.	A. Unique TensorFlower	2016-05-05
\| \| \| \|	Change: 121586635
*	Improved support for min and max on 16 bit floats when running on recent cuda	Benoit Steiner	2016-04-27
\| \| \| \| \| \|	gpus Updated the check numerics code to make it compatible with fp16 Change: 120980302
*	Made it possible to compute the cross entropy using 16 bit floats	Benoit Steiner	2016-04-25
\| \| \| \|	Change: 120739269
*	Rollback of rollback of cl/120366069:	A. Unique TensorFlower	2016-04-21
\| \| \| \| \| \| \| \|	tensorflow: switch to eigen thread pool This is first step of switching tensorflow to the new non-blocking thread pool in eigen. Change: 120510292
*	Prevent TensorFlow from crashing when attempting to reduce an empty tensor ↵	Benoit Steiner	2016-04-21
\| \| \| \| \| \|	on GPU Change: 120505517
*	Fixed a compilation error when targeting cuda 3.0 devices such as the ones	Benoit Steiner	2016-04-20
\| \| \| \| \|	offered by AWS Change: 120369420
*	Upgraded to the latest version of Eigen that adds support for computing the	Benoit Steiner	2016-04-14
\| \| \| \| \|	sigmoid of fp16 and introduces a condition estimator. Change: 119907721
*	Added support for trigonometric and transcendental functions of half floats	Benoit Steiner	2016-04-14
\| \| \| \|	Change: 119850987
*	Upgraded to the latest version of Eigen that provides significant performance	Benoit Steiner	2016-04-13
\| \| \| \| \|	improvements for fp16 Change: 119771118
*	Minimal open source CUPTI GPU Tracer.	A. Unique TensorFlower	2016-04-13
\| \| \| \|	Change: 119768540
*	Made isinf, isnan, isfinite, ceil and floor work with 16 bit floats.	Benoit Steiner	2016-04-09
\| \| \| \|	Change: 119458778
*	Upgraded to the latest version of Eigen that has bug fixes for complex numbers	Benoit Steiner	2016-04-08
\| \| \| \| \|	as well as fp16 Change: 119398881
*	Fix genrules that didn't work when TensorFlow was imported as a submodule ↵	Kiril Gorovoy	2016-04-07
\| \| \| \| \| \|	and compiled with --config=cuda. Change: 119318629
*	Upgraded to the latest version of eigen that introduces implementations of ↵	Benoit Steiner	2016-04-07
\| \| \| \| \| \| \|	the zeta and polygamma functions, as well as improved support for float16. Change: 119279101
*	Upgrade to the latest version of Eigen that provides better support for float16	Benoit Steiner	2016-04-04
\| \| \| \| \|	and fixes the computation of absolute values on gpu. Change: 119001808
*	Merge changes from github.	Vijay Vasudevan	2016-03-29
\| \| \| \|	Change: 118532471
*	Upgraded to the latest version of Eigen	Benoit Steiner	2016-03-28
\| \| \| \|	Change: 118414762
*	Upgraded to the latest version of Eigen that provides better support for fp16.	Benoit Steiner	2016-03-28
\| \| \| \| \|	Use Eigen mod functors directly instead of duplicating them. Change: 118362359
*	Move the NeuralNetwork code out of third_party/eigen3 and into	Benoit Steiner	2016-03-23
\| \| \| \| \|	tensorflow/core/kernel. Change: 117941211
*	Update Eigen NN headers in staging repo to match public contents.	Vijay Vasudevan	2016-03-22
\|
*	Re-rollback of "TensorFlow: move eigen some NN code from our ↵	Vijay Vasudevan	2016-03-18
\| \| \| \| \| \| \|	third_party/eigen3 copy to being part of TF, add tests." Change: 117608627
*	Rollforward of "TensorFlow: move eigen some NN code from our ↵	Vijay Vasudevan	2016-03-18
\| \| \| \| \| \| \|	third_party/eigen3 copy to being part of TF, add tests." Change: 117587217
*	TensorFlow: update eigen to latest change to fix TensorChipping	Vijay Vasudevan	2016-03-18
\| \| \| \|	Change: 117570343
*	Rollback of "TensorFlow: move eigen some NN code from our third_party/eigen3 ↵	Vijay Vasudevan	2016-03-18
\| \| \| \| \| \| \|	copy to being part of TF, add tests." Change: 117519243
*	TensorFlow: move eigen some NN code from our third_party/eigen3 copy	Vijay Vasudevan	2016-03-18
\| \| \| \| \|	to being part of TF, add tests. Change: 117509710
*	TensorFlow: update eigen to latest release that has a fix to too large frame.	Vijay Vasudevan	2016-03-18
\| \| \| \|	Change: 117506296
*	Added basic support for float16 on CPUs and older GPUs.	Benoit Steiner	2016-03-18
\| \| \| \| \|	Also fixed compilation issues with cuda devices that support the compute model 5.3 Change: 117493644
*	Rollforward of "Merge changes from github."	Geoffrey Irving	2016-03-16
\| \| \| \|	Change: 117375570
*	Rollback of: "Merge changes from github."	Vijay Vasudevan	2016-03-16
\| \| \| \|	Change: 117304114
*	Merge changes from github.	Martin Wicke	2016-03-16
\| \| \| \|	Change: 117301677
*	Fix dependencies bugs	Eugene Brevdo	2016-03-11
\| \| \| \|	Change: 116925769
*	Upgraded to a newer version of Eigen that fixes a compilation error on Android	Benoit Steiner	2016-03-09
\| \| \| \|	Change: 116831720
*	Upgraded eigen to make it possible to compile a binary that takes advantage of	Benoit Steiner	2016-03-09
\| \| \| \| \|	both avx instructions and cuda to run as fast as possible. Change: 116775924