From a0ffaf3caa0234653035a692858606c7bdacd63b Mon Sep 17 00:00:00 2001 From: Frank Chen Date: Thu, 13 Jul 2017 14:51:47 -0700 Subject: Merge changes from github. END_PUBLIC --- Commit fe5338177 authored by A. Unique TensorFlower Committed by TensorFlower Gardener: Go: Update generated wrapper functions for TensorFlow ops. PiperOrigin-RevId: 161727345 --- Commit c65f69119 authored by Eugene Brevdo Committed by TensorFlower Gardener: Factor out DenseUpdate ops into dense_update_functor build dep. Also add support for complex types. PiperOrigin-RevId: 161726749 --- Commit 9a172989e authored by A. Unique TensorFlower Committed by TensorFlower Gardener: Update ops-related pbtxt files. PiperOrigin-RevId: 161726324 --- Commit fd5530d6e authored by A. Unique TensorFlower Committed by TensorFlower Gardener: adding bazel-toolchains repo to workspace. This repo will be necessary for remote execution (specifically for cross OS compilation) PiperOrigin-RevId: 161719899 --- Commit 71c4ec8ed authored by Derek Murray Committed by TensorFlower Gardener: Add a mechanism for switching between multiple iterators by feeding a handle. With this change, you can do the following: 1. Fetch a string handle for any iterator, by evaluating the result of `Iterator.string_handle()`. 2. Define an `Iterator` object based on a `tf.string` placeholder handle. 3. Feed the placeholder using an evaluated string handle to use a particular iterator in a particular step. Concretely, this allows you to define two iterators for a training dataset and a test dataset, and choose which one to use on a per-run basis: ```python train_iterator = tf.contrib.data.Dataset(...).make_one_shot_iterator() train_iterator_handle = sess.run(train_iterator.string_handle()) test_iterator = tf.contrib.data.Dataset(...).make_one_shot_iterator() test_iterator_handle = sess.run(test_iterator.string_handle()) handle = tf.placeholder(tf.string, shape=[]) iterator = tf.contrib.data.Iterator.from_string_handle( handle, train_iterator.output_types) next_element = iterator.get_next() loss = f(next_element) train_loss = sess.run(loss, feed_dict={handle: train_iterator_handle}) test_loss = sess.run(loss, feed_dict={handle: test_iterator_handle}) ``` PiperOrigin-RevId: 161719836 --- Commit 6d6dda807 authored by Kay Zhu Committed by TensorFlower Gardener: [TF:XLA] Fix an issue where plugin/Executor backend is used by default when TF is built from source with XLA support. See Github issue #11122. The priority of the executor backend is set to be higher than the default (50) and CPUs (<100), and is therefore selected as the default when tf.device is not explicitly specified. PiperOrigin-RevId: 161717173 --- Commit 6b28eb084 authored by A. Unique TensorFlower Committed by TensorFlower Gardener: Rename HloLocation to HloPosition, to avoid ambiguity with MemoryLocation. PiperOrigin-RevId: 161716528 --- Commit 8e7f57371 authored by A. Unique TensorFlower Committed by TensorFlower Gardener: Expose tf.contrib.nn.rank_sampled_softmax_loss. PiperOrigin-RevId: 161716450 --- Commit e424d209a authored by Peter Hawkins Committed by TensorFlower Gardener: [TF:XLA] Use a more numerically accurate formulation of ResourceApplyRMSProp. PiperOrigin-RevId: 161706120 --- Commit 45a58d378 authored by Skye Wanderman-Milne Committed by TensorFlower Gardener: Introduce Python-only extensions to the C API Implements an incomplete version of Operation._add_control_input() using a new extension to make sure the plumbing works. This also adds header guards to c_api_internal.h, which were missing. For some reason the missing guards caused problems in the cmake build even though there doesn't appear to be any #include cycles. PiperOrigin-RevId: 161705859 --- Commit 4f5433634 authored by Jonathan Hseu Committed by TensorFlower Gardener: Rename TpuEstimator to TPUEstimator and TpuConfig to TPUConfig to follow PEP8 naming conventions. PiperOrigin-RevId: 161704561 --- Commit 38180d7bb authored by Yun Peng Committed by gunan: Disable nn_test on Windows (#11445) --- Commit e1de7a1b0 authored by Yun Peng Committed by gunan: Windows Bazel Build: Build TensorFlow with wrapper-less CROSSTOOL (#11454) --- Commit c9d03a568 authored by A. Unique TensorFlower Committed by TensorFlower Gardener: Add tf.contrib.nn.rank_sampled_softmax_loss, a variant of tf.nn.sampled_softmax_loss that has been shown to improve rank loss. Paper: https://arxiv.org/abs/1707.03073 PiperOrigin-RevId: 161702455 --- Commit 9aa0dcbf2 authored by A. Unique TensorFlower Committed by TensorFlower Gardener: Add shape check for MakeQuantileSummariesOp. PiperOrigin-RevId: 161698801 --- Commit 9c4da4a24 authored by vhasanov Committed by Frank Chen: Deleted unnecessary repetition of the same text. (#11459) The same text was repeated two times. I deleted the repetition. --- Commit d1e3cadda authored by DimanNe Committed by drpngx: Fix linking options issued by bazel in oorder to make gradients register (#11449) --- Commit 8605f7ab8 authored by Taehoon Lee Committed by Frank Chen: Fix typos (#11444) --- Commit 7c1fe9068 authored by Karl Lessard Committed by Frank Chen: [Java] Add base classes and utilities for operation wrappers. (#11188) * Add base classes and utilities for operation wrappers. * Rename Input interface to Operand * Introduce changes after code review --- Commit 2195db6d8 authored by A. Unique TensorFlower Committed by TensorFlower Gardener: Remove unused flag: xla_hlo_graph_for_compute_constant PiperOrigin-RevId: 161686867 --- Commit a72fc31bc authored by Martin Wicke Committed by Martin Wicke: Remove tabs. Unassign contrib/framework. --- Commit 6e74bd65a authored by Martin Wicke Committed by Martin Wicke: Add CODEOWNERS Added what we know about contrib mainly, and some well-separated components. --- Commit de546d066 authored by A. Unique TensorFlower Committed by TensorFlower Gardener: BUILD cleanup in tensorflow/compiler/... PiperOrigin-RevId: 161679855 --- Commit 576c7b1ec authored by A. Unique TensorFlower Committed by TensorFlower Gardener: BEGIN_PUBLIC Automated g4 rollback of changelist 161218103 PiperOrigin-RevId: 161868747 --- CODEOWNERS | 50 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 50 insertions(+) create mode 100644 CODEOWNERS (limited to 'CODEOWNERS') diff --git a/CODEOWNERS b/CODEOWNERS new file mode 100644 index 0000000000..2f216e4161 --- /dev/null +++ b/CODEOWNERS @@ -0,0 +1,50 @@ +# Where component owners are known, add them here. + +tensorflow/tensorboard/* @jart @dandelionmane +tensorflow/tools/docs/* @markdaoust +tensorflow/java/* @asimshankar + +# contrib + +# NEED OWNER: tensorflow/contrib/avro/* +tensorflow/contrib/batching/* @alextp @chrisolston +tensorflow/contrib/bayesflow/* @ebrevdo @rsepassi @jvdillon +tensorflow/contrib/cmake/* @mrry @benoitsteiner +tensorflow/contrib/copy_graph/* @tucker @poxvoculi +tensorflow/contrib/crf/* @kentonl +tensorflow/contrib/data/* @mrry +tensorflow/contrib/distributions/* @jvdillon @langmore @rsepassi +tensorflow/contrib/factorization/* @agarwal-ashish @xavigonzalvo +tensorflow/contrib/ffmpeg/* @fredbertsch +# NEED OWNERT: tensorflow/contrib/framework/* +tensorflow/contrib/graph_editor/* @purpledog +# NEED OWNER: tensorflow/contrib/grid_rnn/* +tensorflow/contrib/hvx/* @satok16 +tensorflow/contrib/imperative/* @keveman +tensorflow/contrib/integrate/* @shoyer +tensorflow/contrib/kernel_methods/* @petrosmol +tensorflow/contrib/ios_examples/* @petewarden +tensorflow/contrib/labeled_tensor/* @shoyer +tensorflow/contrib/layers/* @fchollet @martinwicke +tensorflow/contrib/learn/* @martinwicke @ispirmustafa @alextp +tensorflow/contrib/linalg/* @langmore +tensorflow/contrib/linear_optimizer/* @petrosmol @andreasst @katsiapis +tensorflow/contrib/lookup/* @ysuematsu @andreasst +tensorflow/contrib/losses/* @alextp @ispirmustafa +tensorflow/contrib/makefile/* @petewarden @satok16 @wolffg +tensorflow/contrib/metrics/* @alextp @honkentuber @ispirmustafa +tensorflow/contrib/nccl/* @cwhipkey @zheng-xq +tensorflow/contrib/opt/* @strategist333 +tensorflow/contrib/pi_examples/* @maciekcc +tensorflow/contrib/quantization/* @petewarden @cwhipkey @keveman +tensorflow/contrib/rnn/* @ebrevdo +tensorflow/contrib/saved_model/* @nfiedel @sukritiramesh +tensorflow/contrib/seq2seq/* @lukaszkaiser +tensorflow/contrib/session_bundle/* @nfiedel @sukritiramesh +tensorflow/contrib/slim/* @sguada @thenbasilmanran +tensorflow/contrib/stateless/* @girving +tensorflow/contrib/tensor_forest/* @gilberthendry @thomascolthurst +tensorflow/contrib/testing/* @dandelionmane +tensorflow/contrib/timeseries/* @allenlavoie +tensorflow/contrib/training/* @joel-shor @ebrevdo +tensorflow/contrib/util/* @sherrym -- cgit v1.2.3