Skip to content

Commit

Permalink
Merge changes from github.
Browse files Browse the repository at this point in the history 
END_PUBLIC

I dropped the following commit because it doesn't compile.
I will follow up with Andrew to fix it or revert it.
Commit 003deb8 authored by osdamv<[email protected]>
Committed by Vijay Vasudevan<[email protected]>:
Refactor and implementation of the camera API 1, it fixes tensorflow#8736 (tensorflow#10771)

List of commits in this CL:
---
Commit 4464503 authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Use identity of param variable in cudnn_rnn.RNNParamsSaveable instead of parameter
variable directly. The RNNParamsSaveable is usually used in a graph which also
has a saver for the cudnn param variable itself, if the same op is used for
both, fails with a two savers for same op error.

PiperOrigin-RevId: 163431826

---
Commit d629a83 authored by RJ Ryan<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Increase bound on tf.contrib.signal.inverse_stft gradient error to avoid flakiness on macOS.

PiperOrigin-RevId: 163426631

---
Commit 253bcbb authored by Kay Zhu<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
[XLA] Use HloEvaluator for convolution in reference_util.

Also Speed up HloEvaluator's HandleConvolution in non-opt build, by moving calls
to HloInstruction::shape() out of the inner loop.

PiperOrigin-RevId: 163416183

---
Commit 569a00e authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Update API to traffic in unique_ptrs rather than owning raw pointers

PiperOrigin-RevId: 163414320

---
Commit 31a77bc authored by Asim Shankar<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Java: Update release to 1.3.0-rc1

PiperOrigin-RevId: 163413736

---
Commit 1ebbf43 authored by Jonathan Hseu<[email protected]>
Committed by GitHub<[email protected]>:
Add missing grpc dependency (tensorflow#11828)

---
Commit 905abb1 authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Test asserts should have `expected` first.

PiperOrigin-RevId: 163409348

---
Commit d5cc143 authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Increase timeout to deflake the test.

PiperOrigin-RevId: 163407824

---
Commit ce1c7f0 authored by Eli Bendersky<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Properly include logging header in xla_internal_test_main

PiperOrigin-RevId: 163405986

---
Commit 22241cd authored by joetoth<[email protected]>
Committed by Vijay Vasudevan<[email protected]>:
External leveldb link changed (tensorflow#11833)

table_format.txt was renamed to table_format.md
---
Commit 6b7314d authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Consolidating the code to fill the partition's function library
into one place. Previously, Partition() and MasterSession::RegisterPartition()
both fills in the partitioned graph's function library.

PiperOrigin-RevId: 163400992

---
Commit 28373cf authored by Frank Chen<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Adds preliminary support for Cloud TPUs with Cluster Resolvers. This aims to allow users to have a better experienec when specifying one or multiple Cloud TPUs for their training jobs by allowing users to use names rather than IP addresses.

PiperOrigin-RevId: 163393443

---
Commit e5353c9 authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Don't prune nodes that have reference inputs.

PiperOrigin-RevId: 163390862

---
Commit 2265108 authored by Asim Shankar<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
C API: Groundwork for experimenting with TF_Tensor in device memory.

TF_Tensor objects are always backed by host memory. This commit lays
the groundwork for allowing TF_Tensor objects to refer to tensor data
on device (e.g., GPU) memory.

PiperOrigin-RevId: 163388079

---
Commit 613bf1c authored by Yuefeng Zhou<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
fix asan test failure in SingleMachineTest::ReleaseMemoryAfterDestruction.

PiperOrigin-RevId: 163386941

---
Commit 4653d37 authored by Eli Bendersky<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
[XLA] Change type to appease GPU builds.

PiperOrigin-RevId: 163384927

---
Commit 9f131bd authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Internal change

PiperOrigin-RevId: 163378484

---
Commit 8bc0236 authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
PiperOrigin-RevId: 163366493

---
Commit 3b97f1f authored by Yangzihao Wang<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Change to only run one round of matmul benchmark.

PiperOrigin-RevId: 163364341

---
Commit a4a3a33 authored by Yun Peng<[email protected]>
Committed by Vijay Vasudevan<[email protected]>:
Fix ./configure on Windows (tensorflow#11775)

* Fix ./configure on Windows

* Disable bitwise_ops_test on Windows

---
Commit ae3119d authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Small changes to op framework.

PiperOrigin-RevId: 163361071

---
Commit f40189d authored by qjivy<[email protected]>
Committed by Vijay Vasudevan<[email protected]>:
PR again: Enable building label_image with jpeg/gif/png decoder for Android.  (tensorflow#11475)

* Enable building label_image with jpeg/gif/png decoder for Android.
Add dependency "android_tesnorflow_image_op" to label_image, which
is not overlapped with android_tensorflow_kernels.

* Running buildifier to reformat the BUILD files for
sanity check.

---
Commit 5991658 authored by KB Sriram<[email protected]>
Committed by Vijay Vasudevan<[email protected]>:
Add the Constant operator class (tensorflow#11559)

Create a custom operator class to create constants in the Graph,
and introduce the Operator marker annotation to identify
operator classes.

Please see tensorflow#7149 for the master tracking issue.
---
Commit 86ca350 authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Further BUILD cleanup

PiperOrigin-RevId: 163360750

---
Commit 376bb06 authored by Pete Warden<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Look inside functions to see which node types are used.

PiperOrigin-RevId: 163360375

---
Commit 2139e7d authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
[tf.contrib.data] map expects a nested structure.

Fixes tensorflow#11786

PiperOrigin-RevId: 163359134

---
Commit d09304f authored by Jonathan Hseu<[email protected]>
Committed by Vijay Vasudevan<[email protected]>:
Upgrade gRPC (tensorflow#11768)

* BUILD rule modifications

* More build fixes

* Code changes

* More code fixes

* Working tests

* CMake build

* Fix pprof

* Fix header includes

* CMake fix test

* Bazel clean

* Fix verbs

* More verbs fixes

* bazel clean for XLA

* Windows build fix test

* Add openssl/rand.h

* New cmake build command

* --config Release

---
Commit 3cd8284 authored by David Norman<[email protected]>
Committed by Vijay Vasudevan<[email protected]>:
Fix error with default python path selection (tensorflow#11814)

* Fix error with default python path selection

* Move setting of environment var outside if / else

---
Commit ddd8e21 authored by Eli Bendersky<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
[XLA] Consolidate all similar main()s in tests into a single target.

PiperOrigin-RevId: 163354724

---
Commit a36bca2 authored by Tayo Oguntebi<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Remove ShapeWithoutPadding() utility function, as it is no longer needed.

PiperOrigin-RevId: 163353430

---
Commit b26f9cd authored by David Norman<[email protected]>
Committed by Vijay Vasudevan<[email protected]>:
Ensure that the multi-instruction fuse can take shared inputs (tensorflow#11748)

* Ensure that the multi-instruction fuse can take shared inputs

Note that the fuse action only works when the shared input / constant
appears after all of its consumers in the list of instructions.

* Add a comment describing the test

---
Commit 34cbf16 authored by Jiri Simsa<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Update Dataset API documentation.

PiperOrigin-RevId: 163349457

---
Commit 2381ce5 authored by Abdullah Alrasheed<[email protected]>
Committed by Vijay Vasudevan<[email protected]>:
DOC: Fix typo. (tensorflow#11813)

you could could be I/O bottlenecked.
TO:
you could be I/O bottlenecked.
---
Commit e4a5c53 authored by Toby Boyd<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
["Variable", "VariableV2", "VarHandleOp"] is the default for ps_ops=None

PiperOrigin-RevId: 163344629

---
Commit 722f6f3 authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Fix TensorForest's saveable object names so loading a savedmodel works.

PiperOrigin-RevId: 163332598

---
Commit cda80a7 authored by Eric Liu<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
[tpu profiler] Dump HLO graphs in profile responses to the log directory.

PiperOrigin-RevId: 163318992

---
Commit cea9ef6 authored by horance<[email protected]>
Committed by Vijay Vasudevan<[email protected]>:
Refactoring device name utils (tensorflow#11797)

* remove duplicated code for full_name and legacy_name for DeviceNameUtils

* replace tabs

* Real->Device

---
Commit 1f7c0f9 authored by Kongsea<[email protected]>
Committed by Vijay Vasudevan<[email protected]>:
Refine docstrings (tensorflow#11800)

---
Commit dd1f0cd authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Supports lookup devices by fullname either in the canonical form or the
legacy form. This makes DeviceSet behaves the same as DeviceMgr's
FindDevice method.

PiperOrigin-RevId: 163300346

---
Commit 631a364 authored by Kay Zhu<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
[XLA] Add Reduce, DynamicSlice and DynamicSliceUpdate to HloEvaluator.

- Reduce is disabled explicitly for constant folding, as not all types of
embedded computation can be currently supported by the evaluator.

- Added support to evaluate HloModule to HloEvaluator.

- Minor signature change to Evaluate().

PiperOrigin-RevId: 163299238

---
Commit a524701 authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Sets the incarnation number even when the attribute is set.

PiperOrigin-RevId: 163299121

---
Commit a49fe03 authored by Suharsh Sivakumar<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Remove platform bridge for grpc_response_reader.

PiperOrigin-RevId: 163295986

---
Commit 4404aa7 authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
[XLA] Add TODO comment explaining why the IsScalar check exists.

PiperOrigin-RevId: 163292777

---
Commit 43036ac authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Remove unnecessary break statements.

PiperOrigin-RevId: 163291947

---
Commit fd5de46 authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
[XLA] Add regression test for a corner case using Reduce that currently fails with the GPU backend.

PiperOrigin-RevId: 163287986

---
Commit 32e198f authored by Chris Leary<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
[TF:XLA] Add tf.cross support.

See tensorflow#11788

PiperOrigin-RevId: 163287731

---
Commit 88abddb authored by Alan Yee<[email protected]>
Committed by Vijay Vasudevan<[email protected]>:
Update README.md (tensorflow#11793)

Remove bad practices of sudo pip and install use safer pip install commands
---
Commit 9b30dc3 authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Remove final mentions of `get_shape` in docstring.

PiperOrigin-RevId: 163282839

---
Commit 423c1ee authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
BREAKING CHANGE: Fix semantic error in how maybe_batch* handles sparse tensors.

PiperOrigin-RevId: 163276613

---
Commit 6028c07 authored by Justin Lebar<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Highlight incoming/outgoing edges on hover in HLO graphviz dumps, and other improvements.

Other improvements:

 - Don't show tooltips for nodes and clusters.  Previously we'd show a
   tooltip containing a pointer value expressed as decimal.  Not so
   useful.

 - Show tooltips on edges with the to/from node names.

 - Fix bug wherein if we had

   - a node at the "edge" of the graph (so its operands aren't included
     unless they're referenced by another node),
   - with all of its operands included in the graph save one or more
     constants, and
   - those constants weren't referenced by any nodes not at the edge of
     the graph,

   we would incorrectly draw the node as "grayed out", indicating that
   one of its operands (namely, its constant operand) wasn't present in
   the graph.

   This is wrong because constants are inlined into their users, so they
   should always count as "displayed" for the purposes of determining
   whether a node is grayed out.

PiperOrigin-RevId: 163276108

---
Commit ce7a355 authored by Joshua V. Dillon<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Update contrib/distributions/estimator_test build dependency.

PiperOrigin-RevId: 163272464

---
Commit 1b8458a authored by A. Unique TensorFlower<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Shorten docstring line.

PiperOrigin-RevId: 163269709

---
Commit 69e323c authored by Asim Shankar<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Fix comment ypo

PiperOrigin-RevId: 163266376

---
Commit 08790e7 authored by Chris Leary<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
[XLA] Fix a bug in cloning outfeeds, carried the wrong shape.

PiperOrigin-RevId: 163265592

---
Commit 1bad826 authored by Yangzihao Wang<[email protected]>
Committed by TensorFlower Gardener<[email protected]>:
Rollback of GPU kernel implementation of transpose for tensors with one small dimension.
END_PUBLIC

BEGIN_PUBLIC
BEGIN_PUBLIC
Automated g4 rollback of changelist 162525519

PiperOrigin-RevId: 163490703
  • Loading branch information
@tensorflower-gardener
Vijay Vasudevan authored and tensorflower-gardener committed Jul 28, 2017
1 parent efc63f6 commit a1fba7f
Show file tree
Hide file tree
Showing 150 changed files with 17,446 additions and 3,001 deletions.
70 changes: 70 additions & 0 deletions CODE_OF_CONDUCT.md
View file
Original file line number Diff line number Diff line change
@@ -0,0 +1,70 @@
# TensorFlow Code of Conduct

In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation.


## Our Standards

Examples of behavior that contributes to creating a positive environment include:

* Using welcoming and inclusive language
* Being respectful of differing viewpoints and experiences
* Gracefully accepting constructive criticism
* Focusing on what is best for the community
* Showing empathy towards other community members

Examples of unacceptable behavior by participants include:

* The use of sexualized language or imagery and unwelcome sexual attention or advances
* Trolling, insulting/derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or electronic address, without explicit permission
* Conduct which could reasonably be considered inappropriate for the forum in which it occurs.

All TensorFlow forums and spaces are meant for professional interactions, and any behavior which could reasonably be considered inappropriate in a professional setting is unacceptable.


## Our Responsibilities

Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior.

Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful.


## Scope

This Code of Conduct applies to all content on tensorflow.org, TensorFlow’s GitHub organization, or any other official TensorFlow web presence allowing for community interactions, as well as at all official TensorFlow events, whether offline or online.

The Code of Conduct also applies within project spaces and in public spaces whenever an individual is representing TensorFlow or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed or de facto representative at an online or offline event.


## Conflict Resolution

Conflicts in an open source project can take many forms, from someone having a bad day and using harsh and hurtful language in the issue queue, to more serious instances such as sexist/racist statements or threats of violence, and everything in between.

If the behaviour is threatening or harassing, or for other reasons requires immediate escalation, please see below.

However, for the vast majority of issues, we aim to empower individuals to first resolve conflicts themselves, asking for help when needed, and only after that fails to escalate further. This approach gives people more control over the outcome of their dispute.

If you are experiencing or witnessing conflict, we ask you to use the following escalation strategy to address the conflict:

1. Address the perceived conflict directly with those involved, preferably in a real-time medium.
2. If this fails, get a third party (e.g. a mutual friend, and/or someone with background on the issue, but not involved in conflict) to intercede.
3. If you are still unable to resolve the conflict, and you believe it rises to harassment or another code of conduct violation, report it.


## Reporting Violations

Violations of the Code of Conduct can be reported to TensorFlow’s Project Steward at [email protected]. The Project Steward will determine whether the Code of Conduct was violated, and will issue an appropriate sanction, possibly including a written warning or expulsion from the project, project sponsored spaces, or project forums. We ask that you make a good-faith effort to resolve your conflict via the conflict resolution policy before submitting a report.

Violations of the Code of Conduct can occur in any setting, even those unrelated to the project. We will only consider complaints about conduct that has occurred within one year of the report.


## Enforcement

If the Project Steward receives a report alleging a violation of the Code of Conduct, the Project Steward will notify the accused of the report, and provide them an opportunity to discuss the report before a sanction is issued. The Project Steward will do their utmost to keep the reporter anonymous. If the act is ongoing (such as someone engaging in harassment), or involves a threat to anyone's safety (e.g. threats of violence), the Project Steward may issue sanctions without notice.


## Attribution

This Code of Conduct is adapted from the Contributor Covenant, version 1.4, available at http://contributor-covenant.org/version/1/4, and includes some aspects of the Geek Feminism Code of Conduct and the Drupal Code of Conduct.
2 changes: 1 addition & 1 deletion ISSUE_TEMPLATE.md
View file
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
Please go to Stack Overflow for help and support:

http://stackoverflow.com/questions/tagged/tensorflow
https://stackoverflow.com/questions/tagged/tensorflow

If you open a GitHub issue, here is our policy:

Expand Down
32 changes: 17 additions & 15 deletions README.md
View file
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
| [![Build Status](https://ci.tensorflow.org/buildStatus/icon?job=tensorflow-master-cpu)](https://ci.tensorflow.org/job/tensorflow-master-cpu) | [![Build Status](https://ci.tensorflow.org/buildStatus/icon?job=tensorflow-master-linux-gpu)](https://ci.tensorflow.org/job/tensorflow-master-linux-gpu) | [![Build Status](https://ci.tensorflow.org/buildStatus/icon?job=tensorflow-master-mac)](https://ci.tensorflow.org/job/tensorflow-master-mac) | [![Build Status](https://ci.tensorflow.org/buildStatus/icon?job=tensorflow-master-win-cmake-py)](https://ci.tensorflow.org/job/tensorflow-master-win-cmake-py) | [![Build Status](https://ci.tensorflow.org/buildStatus/icon?job=tensorflow-master-android)](https://ci.tensorflow.org/job/tensorflow-master-android) |

**TensorFlow** is an open source software library for numerical computation using
data flow graphs. Nodes in the graph represent mathematical operations, while
data flow graphs. The graph nodes represent mathematical operations, while
the graph edges represent the multidimensional data arrays (tensors) that flow
between them. This flexible architecture lets you deploy computation to one
or more CPUs or GPUs in a desktop, server, or mobile device without rewriting
Expand All @@ -21,25 +21,26 @@ organization for the purposes of conducting machine learning and deep neural
networks research. The system is general enough to be applicable in a wide
variety of other domains, as well.

**If you'd like to contribute to TensorFlow, be sure to review the [contribution
**If you want to contribute to TensorFlow, be sure to review the [contribution
guidelines](CONTRIBUTING.md).**

**We use [GitHub issues](https://github.com/tensorflow/tensorflow/issues) for
tracking requests and bugs, but please see
[Community](https://www.tensorflow.org/community/) for general questions
and discussion.**
tracking requests and bugs. So please see
[TensorFlow Discuss](https://groups.google.com/a/tensorflow.org/forum/#!forum/discuss) for general questions
and discussion, and please direct specific questions to [Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).**

## Installation
*See [Installing TensorFlow](https://www.tensorflow.org/install/) for instructions on how to install our release binaries or how to build from source.*
*See [Installing TensorFlow](https://www.tensorflow.org/install) for instructions on how to install our release binaries or how to build from source.*

People who are a little more adventurous can also try our nightly binaries:

* Linux CPU-only: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.1-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave)) / [Python 3.4](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.1-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/)) / [Python 3.5](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.1-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/))
* Linux GPU: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.2.1-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/)) / [Python 3.4](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.2.1-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/)) / [Python 3.5](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.2.1-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/))
* Mac CPU-only: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.1-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac-slave/)) / [Python 3](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.1-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac-slave/))
* Mac GPU: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.2.1-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/)) / [Python 3](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-mac/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.2.1-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-mac/))
* Windows CPU-only: [Python 3.5 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=35/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow-1.2.1-cp35-cp35m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=35/)) / [Python 3.6 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=36/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow-1.2.1-cp36-cp36m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=36/))
* Windows GPU: [Python 3.5 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=35/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow_gpu-1.2.1-cp35-cp35m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=35/)) / [Python 3.6 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=36/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow_gpu-1.2.1-cp36-cp36m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=36/))

* Linux CPU-only: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.3.0rc0-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave)) / [Python 3.4](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.3.0rc0-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/)) / [Python 3.5](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.3.0rc0-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/))
* Linux GPU: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.3.0rc0-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/)) / [Python 3.4](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.3.0rc0-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/)) / [Python 3.5](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.3.0rc0-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/))
* Mac CPU-only: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.3.0rc0-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac-slave/)) / [Python 3](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.3.0rc0-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac-slave/))
* Mac GPU: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.3.0rc0-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/)) / [Python 3](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-mac/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.3.0rc0-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-mac/))
* Windows CPU-only: [Python 3.5 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=35/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow-1.3.0rc0-cp35-cp35m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=35/)) / [Python 3.6 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=36/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow-1.3.0rc0-cp36-cp36m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=36/))
* Windows GPU: [Python 3.5 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=35/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow_gpu-1.3.0rc0-cp35-cp35m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=35/)) / [Python 3.6 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=36/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow_gpu-1.3.0rc0-cp36-cp36m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=36/))
* Android: [demo APK](https://ci.tensorflow.org/view/Nightly/job/nightly-android/lastSuccessfulBuild/artifact/out/tensorflow_demo.apk), [native libs](http://ci.tensorflow.org/view/Nightly/job/nightly-android/lastSuccessfulBuild/artifact/out/native/)
([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-android/))

Expand All @@ -55,16 +56,17 @@ $ python
'Hello, TensorFlow!'
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> sess.run(a+b)
>>> sess.run(a + b)
42
>>>
```

## For more information

* [TensorFlow website](https://www.tensorflow.org)
* [TensorFlow whitepaper](http://download.tensorflow.org/paper/whitepaper2015.pdf)
* [TensorFlow White Papers](https://www.tensorflow.org/about/bib)
* [TensorFlow Model Zoo](https://github.com/tensorflow/models)
* [TensorFlow MOOC on Udacity](https://www.udacity.com/course/deep-learning--ud730)
* [TensorFlow course at Stanford](https://web.stanford.edu/class/cs20si)

The TensorFlow community has created amazing things with TensorFlow, please see the [resources section of tensorflow.org](https://www.tensorflow.org/about/#community) for an incomplete list.
Learn more about the TensorFlow community at the [community page of tensorflow.org](https://www.tensorflow.org/community) for a few ways to participate.
Loading

0 comments on commit a1fba7f

Please sign in to comment.