tensorflow/CODEOWNERS
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Frank Chen a0ffaf3caa Merge changes from github.
END_PUBLIC

---
Commit fe5338177 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.

PiperOrigin-RevId: 161727345

---
Commit c65f69119 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
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<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.

PiperOrigin-RevId: 161726324

---
Commit fd5530d6e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
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<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
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<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[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<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rename HloLocation to HloPosition, to avoid ambiguity with MemoryLocation.

PiperOrigin-RevId: 161716528

---
Commit 8e7f57371 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Expose tf.contrib.nn.rank_sampled_softmax_loss.

PiperOrigin-RevId: 161716450

---
Commit e424d209a authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Use a more numerically accurate formulation of ResourceApplyRMSProp.

PiperOrigin-RevId: 161706120

---
Commit 45a58d378 authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
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<jhseu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rename TpuEstimator to TPUEstimator and TpuConfig to TPUConfig to follow PEP8
naming conventions.

PiperOrigin-RevId: 161704561

---
Commit 38180d7bb authored by Yun Peng<pcloudy@google.com>
Committed by gunan<gunan@google.com>:
Disable nn_test on Windows (#11445)

---
Commit e1de7a1b0 authored by Yun Peng<pcloudy@google.com>
Committed by gunan<gunan@google.com>:
Windows Bazel Build: Build TensorFlow with wrapper-less CROSSTOOL (#11454)

---
Commit c9d03a568 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
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<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add shape check for MakeQuantileSummariesOp.

PiperOrigin-RevId: 161698801

---
Commit 9c4da4a24 authored by vhasanov<KyotoSunshine@users.noreply.github.com>
Committed by Frank Chen<frankchn@gmail.com>:
Deleted unnecessary repetition of the same text. (#11459)

The same text was repeated two times. I deleted the repetition.
---
Commit d1e3cadda authored by DimanNe<dimanne@gmail.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
Fix linking options issued by bazel in oorder to make gradients register (#11449)

---
Commit 8605f7ab8 authored by Taehoon Lee<me@taehoonlee.com>
Committed by Frank Chen<frankchn@gmail.com>:
Fix typos (#11444)

---
Commit 7c1fe9068 authored by Karl Lessard<karllessard@users.noreply.github.com>
Committed by Frank Chen<frankchn@gmail.com>:
[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<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unused flag: xla_hlo_graph_for_compute_constant

PiperOrigin-RevId: 161686867

---
Commit a72fc31bc authored by Martin Wicke<martin.wicke@gmail.com>
Committed by Martin Wicke<martin.wicke@gmail.com>:
Remove tabs. Unassign contrib/framework.
---
Commit 6e74bd65a authored by Martin Wicke<martin.wicke@gmail.com>
Committed by Martin Wicke<martin.wicke@gmail.com>:
Add CODEOWNERS

Added what we know about contrib mainly, and some well-separated components.
---
Commit de546d066 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BUILD cleanup in tensorflow/compiler/...

PiperOrigin-RevId: 161679855

---
Commit 576c7b1ec authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 161218103

PiperOrigin-RevId: 161868747
2017-07-13 14:55:38 -07:00

51 lines
2.2 KiB
Plaintext

# 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