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* Remove contrib/imperative.Gravatar Vincent Vanhoucke2017-09-15
| | | | | | See contrib/eager for an actively developed equivalent functionality. PiperOrigin-RevId: 168921728
* Merge changes from github.Gravatar Jonathan Hseu2017-08-25
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit b30ce4714 authored by James Qin<jamesqin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Revamp CudnnRNN Saveables 1. Use a lossy way to save/restore cudnn biases during checkpointing. Cudnn uses 2 biases each gate for all RNNs while tf uses one. To allow cudnn checkpoints to be compatible with both Cudnn and platform-independent impls, previously both individual bias and summed biases each gate were stored. The new way only stores the bias sum for each gate, and split it half-half when restoring from a cudnn graph. Doing this does not cause problems since RNNs do not use weight-decay to regularize. 2. Use inheritance instead of branching * Split RNNParamsSaveable to 1 base class and 4 subclasses. * Extract common routines and only overwrite rnn-type-specific pieces in subclasses. PiperOrigin-RevId: 166413989 --- Commit ebc421daf authored by Alan Yee<alyee@ucsd.edu> Committed by Jonathan Hseu<vomjom@vomjom.net>: Update documentation for contrib (#12424) * Update __init__.py Remove ## for standardization of api docs * Create README.md Add README to define this directory's purpose * Update __init.py Markdown styling does not show up well in api docs * Update README.md Add short mention of describing what to deprecate * Update README.md Capitalize title * Update README.md Revert README change * Delete README.md --- Commit fd295394d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use latest version of nsync library, which now allows use of cmake on MacOS. PiperOrigin-RevId: 166411437 --- Commit 587d728e0 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Refactor reduce-precision-insertion filters, add several more options. In particular, this adds the ability to add reduce-precision operations after fusion nodes based on the contents of those fusion nodes, and the ability to filter operations based on the "op_name" metadata. PiperOrigin-RevId: 166408392 --- Commit 3142f8ef5 authored by Ali Yahya<alive@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Steps toward making ResourceVariables compatible with Eager. This change forces the value of the reuse flag in variable scopes to be tf.AUTO_REUSE when in Eager mode. This change also adds comprehensive Eager tests for ResourceVariable. PiperOrigin-RevId: 166408161 --- Commit b2ce45150 authored by Igor Ganichev<iga@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make Graph::IsValidNode public It can be reimplemented with existing public APIs, but instead of doing so, making this one public seems better. PiperOrigin-RevId: 166407897 --- Commit 0a2f40e92 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA::CPU] Fix HLO profiling in parallel CPU backend. PiperOrigin-RevId: 166400211 --- Commit c4a58e3fd authored by Yao Zhang<yaozhang@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Identify frame ids for all nodes in a graph. PiperOrigin-RevId: 166397615 --- Commit 989713f26 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 166294015 PiperOrigin-RevId: 166521502
* Merge changes from github.Gravatar Vijay Vasudevan2017-02-17
Change: 147897309