From 008910f1122d115a6d7430bfcc63cf4296c7467d Mon Sep 17 00:00:00 2001 From: Jonathan Hseu Date: Fri, 25 Aug 2017 14:01:05 -0700 Subject: Merge changes from github. END_PUBLIC --- Commit b30ce4714 authored by James Qin Committed by TensorFlower Gardener: 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 Committed by Jonathan Hseu: 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 Committed by TensorFlower Gardener: Use latest version of nsync library, which now allows use of cmake on MacOS. PiperOrigin-RevId: 166411437 --- Commit 587d728e0 authored by A. Unique TensorFlower Committed by TensorFlower Gardener: [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 Committed by TensorFlower Gardener: 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 Committed by TensorFlower Gardener: 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 Committed by TensorFlower Gardener: [XLA::CPU] Fix HLO profiling in parallel CPU backend. PiperOrigin-RevId: 166400211 --- Commit c4a58e3fd authored by Yao Zhang Committed by TensorFlower Gardener: Identify frame ids for all nodes in a graph. PiperOrigin-RevId: 166397615 --- Commit 989713f26 authored by A. Unique TensorFlower Committed by TensorFlower Gardener: BEGIN_PUBLIC Automated g4 rollback of changelist 166294015 PiperOrigin-RevId: 166521502 --- README.md | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) (limited to 'README.md') diff --git a/README.md b/README.md index 63bde4235e..87c7b1bfa9 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,9 @@ networks research. The system is general enough to be applicable in a wide variety of other domains, as well. **If you want to contribute to TensorFlow, be sure to review the [contribution -guidelines](CONTRIBUTING.md).** +guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's +[code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to +uphold this code.** **We use [GitHub issues](https://github.com/tensorflow/tensorflow/issues) for tracking requests and bugs. So please see @@ -57,7 +59,7 @@ $ python >>> b = tf.constant(32) >>> sess.run(a + b) 42 ->>> +>>> sess.close() ``` ## For more information @@ -69,3 +71,7 @@ $ python * [TensorFlow course at Stanford](https://web.stanford.edu/class/cs20si) Learn more about the TensorFlow community at the [community page of tensorflow.org](https://www.tensorflow.org/community) for a few ways to participate. + +## License + +[Apache License 2.0](LICENSE) -- cgit v1.2.3