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Commits on May 16, 2016

• Switched to the latest version of Eigen that performs much better on machines

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  benoitsteiner

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Commits on May 12, 2016

• Made the contraction code compatible with fp16

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  benoitsteiner

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• Upgraded to the latest version of Eigen that speeds up full reductions on fp16

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  benoitsteiner

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Commits on Apr 28, 2016

• Improved support for min and max on 16 bit floats when running on recent cuda

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  benoitsteiner

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Commits on Apr 25, 2016

• Made it possible to compute the cross entropy using 16 bit floats

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  benoitsteiner

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Commits on Apr 22, 2016

• Rollback of rollback of cl/120366069:

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  A. Unique TensorFlower

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• Prevent TensorFlow from crashing when attempting to reduce an empty tensor on GPU

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  benoitsteiner

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Commits on Apr 20, 2016

• Fixed a compilation error when targeting cuda 3.0 devices such as the ones

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  benoitsteiner

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Commits on Apr 15, 2016

• Upgraded to the latest version of Eigen that adds support for computing the

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  benoitsteiner

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Commits on Apr 14, 2016

• Added support for trigonometric and transcendental functions of half floats

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  benoitsteiner

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Commits on Apr 13, 2016

• Upgraded to the latest version of Eigen that provides significant performance

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  benoitsteiner

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Commits on Apr 9, 2016

• Made isinf, isnan, isfinite, ceil and floor work with 16 bit floats.

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  benoitsteiner

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Commits on Apr 8, 2016

• Upgraded to the latest version of Eigen that has bug fixes for complex numbers

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  benoitsteiner

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Commits on Apr 7, 2016

• Upgraded to the latest version of eigen that introduces implementations of the zeta

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  benoitsteiner

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Commits on Apr 5, 2016

• Upgrade to the latest version of Eigen that provides better support for float16

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  benoitsteiner

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Commits on Mar 29, 2016

• Upgraded to the latest version of Eigen

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  benoitsteiner

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Commits on Mar 28, 2016

• Upgraded to the latest version of Eigen that provides better support for fp16.

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  benoitsteiner

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Commits on Mar 23, 2016

• Move the NeuralNetwork code out of third_party/eigen3 and into

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  benoitsteiner

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Commits on Mar 18, 2016

• TensorFlow: update eigen to latest change to fix TensorChipping

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  Vijay Vasudevan

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• TensorFlow: update eigen to latest release that has a fix to too large frame.

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  Vijay Vasudevan

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• Added basic support for float16 on CPUs and older GPUs.

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  benoitsteiner

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Commits on Mar 10, 2016

• Upgraded to a newer version of Eigen that fixes a compilation error on Android

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  benoitsteiner

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Commits on Mar 9, 2016

• Upgraded eigen to make it possible to compile a binary that takes advantage of

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  benoitsteiner

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• Upgraded to a new version of Eigen that adds the ability to pad using values

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  benoitsteiner

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Commits on Mar 5, 2016

• Added the ability to convert between floats and float16 on Kepler and Maxwell

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  benoitsteiner

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Commits on Mar 2, 2016

• Improved the performance of outer reductions

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  benoitsteiner

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Commits on Mar 1, 2016

• Improved the performance of narrow reductions on CUDA

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  benoitsteiner

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Commits on Feb 22, 2016

• Upgraded Eigen to fix a compilation error triggered by xcode

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  benoitsteiner

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• Upgraded to the latest version of eigen, which adds a missing #include

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  benoitsteiner

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• Added support for half floats to eigen, which is the first step to support half

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  benoitsteiner

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Commits on Feb 13, 2016

• TensorFlow: update Eigen to non-broken GPU commit.

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  Vijay Vasudevan

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Commits on Feb 12, 2016

• Switch the slow path in matrix_solve_ls to using Eigen::CompleteOrthogonalDecomposition (COD), which I recently contributed to Eigen in https://bitbucket.org/eigen/eigen/pull-requests/163/implement…

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  A. Unique TensorFlower

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Commits on Feb 9, 2016

• TensorFlow: change int -> size_t to silence warning

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  Vijay Vasudevan

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Commits on Feb 4, 2016

• Upgraded to the latest version of Eigen that brings misc performance and

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  benoitsteiner

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  keveman

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Commits on Jan 30, 2016

• Backported several changes from the upstream version of Eigen

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  benoitsteiner

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  Vijay Vasudevan

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