hash stringlengths 40 40 | msg stringlengths 1 131k | author stringlengths 1 33 | email stringlengths 0 57 | date int64 1,447B 1,698B |
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f41959ccb2d9d4c722fe8fc3351401d53bcf4900 | TensorFlow: Initial commit of TensorFlow library.
TensorFlow is an open source software library for numerical computation
using data flow graphs.
Base CL: 107276108 | Manjunath Kudlur | keveman@gmail.com | 1,446,856,078,000 |
cd9e60c1cd8afef6e39b4b73525d64aee33b656b | TensorFlow: Upstream latest changes to Git.
Changes:
- Updates to installation instructions.
- Updates to documentation.
- Minor modifications and tests for word2vec.
Base CL: 107284192 | Manjunath Kudlur | keveman@gmail.com | 1,446,863,831,000 |
8bd3b38e662a1298bebcada676c7cc6e2ea49c0f | TensorFlow: Upstream changes to git.
Changes:
- Update a lot of documentation, installation instructions,
requirements, etc.
- Add RNN models directory for recurrent neural network
examples to go along with the tutorials.
Base CL: 107290480 | Vijay Vasudevan | vrv@google.com | 1,446,875,858,000 |
7de9099a739c9dc62b1ca55c1eeef90acbfa7be9 | TensorFlow: Upstream latest commits to git.
Changes:
- Updates to Documentation, README.md, installation
instructions, anchor links, etc.
- Adds Readme for embedding directory.
Base CL: 107308461 | Vijay Vasudevan | vrv@google.com | 1,446,922,181,000 |
fddaed524622417900d745fe8f115562c55ac49a | TensorFlow: Upstream commits to git.
Changes:
- More documentation edits, fixes to anchors,
fixes to mathjax, new images, etc.
- Add rnn models to pip install package.
Base CL: 107312343 | Vijay Vasudevan | vrv@google.com | 1,446,933,504,000 |
ec490db88a1b624157f24a61dee0bd7d3c2630de | TensorFlow: Upstream changes to git.
Changes:
- Update whitepaper
- Fix some names in docs.
Base CL: 107313143 | Vijay Vasudevan | vrv@google.com | 1,446,935,606,000 |
e28c1dbab3506d536ded7f1b1f0a527d4cad1b14 | TensorFlow: Upstream latest changes to git.
Changes:
- Documentation changes: adding some examples
for adding_an_op, fixes to some of the markdown,
updates to docstrings, etc.
- Remove Dockerfile for now -- still undergoing
changes.
Base CL: 107341050 | Vijay Vasudevan | vrv@google.com | 1,447,011,446,000 |
71842dabdb169e46c46e1b139334bd04ed388e5a | TensorFlow: Upstream latest changes to git.
Changes:
- Documentation updates.
- Specify numpy version in required packages.
Base CL: 107344010 | Manjunath Kudlur | keveman@gmail.com | 1,447,019,816,000 |
1d3874fe2f261c22eb88d150f03ae37eadeb2544 | TensorFlow: Upstream changes to git.
Changes:
- Docuementation changes.
- Update URL for protobuf submodule.
Base CL: 107345722 | Manjunath Kudlur | keveman@gmail.com | 1,447,024,477,000 |
b2dc60eaa9c00421293b87824a2047fdcf6fa331 | TensorFlow: Upstream changes to git.
Changes:
- Documentation updates.
- Relax numpy requirement to 1.9.2
Base CL: 107349632 | Manjunath Kudlur | keveman@gmail.com | 1,447,033,308,000 |
d769a3fd306ad5be8e4a118b39394606e360101d | TensorFlow: Upstream changes to git.
Changes:
- Updates to installation instructions.
Base CL: 107352130 | Manjunath Kudlur | keveman@gmail.com | 1,447,039,421,000 |
a2257d08a9b6cb9807644e19589bdd802a0856e8 | TensorFlow: Upstreaming changes to git.
Changes:
Fix anchor for github.
Base CL: 107352236 | Manjunath Kudlur | keveman@gmail.com | 1,447,039,735,000 |
c943bcaa511e38a2ab873b510a48dabdeab8401d | TensorFlow: Upstream changes to git.
Changes:
- Correct number of CPUs reported on mac.
- Doc updates.
Base CL: 107355041 | Manjunath Kudlur | keveman@gmail.com | 1,447,045,469,000 |
c9e59c5fd9d79ab002e0e67dbc8fd11b9f03702d | TensorFlow: Upstreaming changes to git.
Changes:
- Update to OS X install instructions.
Base CL: 107355822 | Manjunath Kudlur | keveman@gmail.com | 1,447,046,850,000 |
3b8b69f71a77d22cbfa0f94be5d4d0fd40ef596a | TensorFlow: Upstream changes to git.
Changes:
- Doc type fixes.
Base CL: 107356208 | Manjunath Kudlur | keveman@gmail.com | 1,447,047,697,000 |
f7f007284434377d7bb7cff48b5df5737651d3dc | TensorFlow: Upstream changes to git.
Changes:
- Lot of updates to docs.
Base CL: 107357203 | Manjunath Kudlur | keveman@gmail.com | 1,447,049,284,000 |
9f64983a8458700ba1aec613a755e8264b1608e0 | TensorFlow: Update documentation to address quirks, add whitepaper link,
and add tentative Dockerfile for GPU. Change install instructions
to also suggest upgrading six for Mac.
Base CL: 107379398 | Vijay Vasudevan | vrv@google.com | 1,447,079,934,000 |
61d3a958d6d83cb6037490d933b47621cc4009cc | TensorFlow: Initial steps towards python3 support, some documentation
bug fixes -- reindents to 2 for some of the files to match our internal
requirements.
Thanks to Martin Andrews for the basic_usage.md suggested fix via
Gerrit.
Base CL: 107394029 | Vijay Vasudevan | vrv@google.com | 1,447,092,667,000 |
9274f5aa478879386870bb0cb889e432d4aee330 | TensorFlow: Upstream a batch of changes to git.
Changes:
- Some changes to make our ability to handle external contributions
simpler (e.g., adding some markers, adding empty __init__.py files).
- Fixing documentation of SummaryWriter.add_summary().
- Some input validation changes for queues/barriers.
- Fixing the ptb tutorial (thanks to @kentonl for reporting),
fixes, github issue 52.
- Some documentation suggestions for dealing with a few install
problems.
- Speed improvements to conv2d gradient kernels on CPU.
- More documentation fixes for the website. Thanks to @makky3939 and
@keonkim for reports.
- Changes / fixes to the Docker files.
- Changes build_pip_package to not create an sdist.
- Adds tensorboard example script.
Base CL: 107445267 | Vijay Vasudevan | vrv@google.com | 1,447,123,373,000 |
c61c39614a4780464037226d9d3c28101f7e8e46 | TensorFlow: upstream changes to git (doc fixes).
Changes:
- Fix typos across several files contributed by Erik Erwitt,
and Michael R. Berstein
- Fix bug in translate example (fr->en typo) by schuster
- Updates to some documentation (mcoram,shlens,vrv,joshl)
- Fix to Android camera demo app window size detection (andrewharp)
- Fix to support lookup table of high rank tensors (yleon)
- Fix invalid op names for parse_example (dga)
Base CL: 107531031 | Vijay Vasudevan | vrv@google.com | 1,447,197,781,000 |
4810e724828d1d423976608877a97f9b6a2b1c09 | Update description of various issue/discussion forums (by vanhoucke)
Base CL: 107543097 | Vijay Vasudevan | vrv@google.com | 1,447,206,079,000 |
9a00a61aa4ae59339b14d29650a591732901c264 | Add colah@'s fixed version of scalar equation to docs.
Base CL: 107547091 | Vijay Vasudevan | vrv@google.com | 1,447,209,048,000 |
3961abed9560cd852fff4add393b451483bbc3af | Upstream a number of changes to git.
Changes:
- Updates to README / os_setup for common installation issues
by ebrevdo, vrv, wicke, anelia, dga
- Add a test for backwards compatibility checks by Josh
- Simplifications to tiling/padding of scalars by bsteiner
- Improve listing of devices when no devices are known by Matthieu
Base CL: 107607137 | Vijay Vasudevan | vrv@google.com | 1,447,271,531,000 |
f2102f4e2c1c87f1d1bf9ab856a2849c54478760 | TensorFlow: upstream changes from the afternoon.
Changes:
- futurize --stage2 changes for Python 3 compatibility by @girving.
- Small updates to documentation by @vrv, schuster and others
- Account for failure of std::thread::hardware_concurrency by @ebrevdo.
- More changes for backwards-compatibility tests by Josh
- Updates to python op doc generation by Josh
- Added support for using the best-fit allocator via ConfigProto by @vrv.
- Rename LocalSession to DirectSession, since local was a bad name for
it.
- Enable tf.nn.moments() to work with tensors of unknown shape by @mrry.
GITHUB_ISSUE: 139
- Changes for Android build by Andrew.
Base CL: 107645181 | Vijay Vasudevan | vrv@google.com | 1,447,296,321,000 |
9e481dab6091e0438f571f1eba86555457b91005 | Initial commit | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,300,802,000 |
b75c2a316558cf26cf1c81644dad43a7c2edd332 | Added apache headers | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,301,042,000 |
b77f3ca4114e6c4e03ea41421579283980c5e51f | Removed license headers | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,301,260,000 |
3db714a47b6a1dc20d779ba739aad51859dbead7 | make license in setup.py match | Illia Polosukhin | ipolosukhin@google.com | 1,447,301,481,000 |
4dffee7f62d81ec9173aba1b0ef6b96e47f8037c | TensorFlow: Minor updates to docs, BUILD, GPU config / perf, etc.
Changes:
- Updates to op documentation and index by Josh
- More changes to BUILD files for python 3 support by @girving
- Fix to Eigen to use DenseIndex everywhere by @jiayq
- Enable configuration for cuda compute capability by @zheng-xq,
including updates to docs.
- Route aggregation method through optimizer by schuster
- Updates to install instructions for bazel 0.1.1.
Base CL: 107702099 | Vijay Vasudevan | vrv@google.com | 1,447,356,420,000 |
6c401fe64b04ecf90cfe159dfd8143c7d86665e6 | Changing github url to /google/skflow | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,370,756,000 |
d50565b35e886e7c3a201ea2f088790ed4b28de4 | TensorFlow: Upstream changes from afternoon.
Changes:
- Ptrdiff -> DenseIndex change by @jiayq
- Fix to scoping the logging in logging.py by @dga
- Improvement to Conv2DBackpropFilter on CPU by Andy
- Remove lookup table wrappers for the time being (wasn't in our
public API yet) by Yukata
- Add a check similar to numpy to make sure the user isn't in the
tensorflow src directory by @vrv
- More changes for python 3 compat by @girving
- Make dropout preserve shape info from input (@mrry)
- Significant speed improvements by @zheng-xq to BFC allocator to bring
on par (CPU overhead-wise) to the region allocator. Make BFC
allocator the default now that it's working well for a variety
of models.
- Fix a bunch of typos reported by users (@vrv)
- Enable concat for bfloat16 on GPU by Ashish.
Base CL: 107733123 | Vijay Vasudevan | vrv@google.com | 1,447,375,656,000 |
011e9baccd343eb943d25014c4e8aec53eac396b | TensorFlow: a few small updates.
Changes:
- Fix softmax formula in word2vec to remove an extra exp()
by @gouwsmeister
- Python3 fixes to remove basestring / support for unicode by @mrry
- Remove some comments by Josh
- Specify exact versions of bower dependencies for TensorBoard by
@danmane.
Base CL: 107742361 | Vijay Vasudevan | vrv@google.com | 1,447,382,085,000 |
e91dcaf231d5fdaab1714694e5ffb9542d92c500 | Updated setup to actually install things, updated test to run only for 500 iters | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,387,118,000 |
67e33815af883113216001db33a8d4d14a674823 | Refactored out Trainer and ops from main file | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,389,228,000 |
77d5a5b20d9029e78feed703182d22219bb1f92b | Added inheretence from sklearn estimators | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,397,186,000 |
3f9bd38462802317fb0265355682d01cf2a52435 | Added license headers | Illia Polosukhin | ipolosukhin@google.com | 1,447,437,908,000 |
cb9fa5fc9de9f3fc97c15bbcce252d7d7fdcb73b | TensorFlow: Upstream changes from since last Thursday.
Changes:
- Bug fix to input.py by @dave-andersen with tests.
- Some fixes to names in the whitepaper
- Include cfloat for FLT_MAX by @benoitsteiner
- Fix broken link in mnist tutorials by @mrry
- Typos and fixes to documentation by @Sohl-Dickstein, @ebrevdo, @vrv,
Yaroslav, @martinwicke
- Fixed unnecessary check around a delete by @girving
- More compatibility tests by @josh11b
- Misc other typos and fixes by Googlers.
Base CL: 107944070 | Vijay Vasudevan | vrv@google.com | 1,447,694,141,000 |
56313def004795f75ef8281a0294c958d28f1e06 | TensorFlow: Doc and linter fixes, some additional tests and
error handling, updates to website.
Changes:
- Removes redundant reshape from image models by @mrry
- Default TensorBoard to localhost by @danmane
- Reformatting of tensorflow/core by @josh11b
- Make tutorials backwards compatible to 0.5.0 by @girving
- Improve print documentation (md files not updated).
- Add proper scrolling to sitemap by @martinwicke
Base CL: 107956254 | Vijay Vasudevan | vrv@google.com | 1,447,701,096,000 |
4213ac97be449d0e40631a314d2b7bd3901d4967 | TensorFlow: conv improvements, label_image example, and
a few other changes.
Changes:
- Some improvements to convolution by using 32-bit indices by
@benoitsteiner. Not all calls converted yet. Also some
improvements to pooling as well by @benoitsteiner.
- Improvements to sparse matmul CPU implementation by Ashish
- Some fixes to warnings by @vrv
- Doc fixes to padding by @Yangqing
- Some improvements to Tensor wrappers by Eider
- Speed up of matrix inverse on CPU by Rasmus
- Add an example of doing image inference from a pre-trained model
by @petewarden.
- fixed formula in mnist example by nodir
- Updates to event accumulator by Cassandra
- Slight changes to tensor c api by @mrry
- Handling of strings in listdiff by Phil
- Fix negative fraction-of-queue-full stats by Frank
- Type-checking improvement to importer by Yaroslav
- logdir recursive search for Tensorboard by @danmane
- Session.run() checks for empty graph by Manoj
Base CL: 108013706 | Vijay Vasudevan | vrv@google.com | 1,447,746,152,000 |
9eb88d56ab6a9a361662d73a258593d8fbf10b62 | TensorFlow: remove googlenet modelfile from repo.
It is 50MiB, which doesn't belong in git.
It turns out there is a second copy of this graph in the android assets
already too. That explains why the repo is so large.
(Since we have not accepted external commits yet, we may
consider rewriting the history to purge these files if
the size of the repo is a concern).
Base CL: 108016510 | Vijay Vasudevan | vrv@google.com | 1,447,749,834,000 |
0c4ca59bce74231e877812279bc9f75baa464bbc | Moved out get_feed_dict_fn into a DataFeeder to allow customize it later | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,816,113,000 |
6ebe8095462fb6873308f6a51ed16082056fa2ff | Added ops to handle categorical variables using embeddings. and multidimensional lookup in embeddings and test for all this. | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,820,708,000 |
ab34d55ce7618e52069a2e1c9e51aac5a1ea81c3 | TensorFlow: more features, performance improvements, and doc fixes.
Changes:
- Add Split/Concat() methods to TensorUtil (meant for convenience, not
speed) by Chris.
- Changes to linear algebra ops interface by Rasmus
- Tests for tensorboard by Daniel
- Fix bug in histogram calculation by Cassandra
- Added tool for backwards compatibility of OpDefs. Tool
Checks in history of opdefs and their changes, checks for
backwards-incompatible changes. All done by @josh11b
- Fix some protobuf example proto docs by Oliver
- Add derivative of MatrixDeterminant by @yaroslavvb
- Add a priority queue queue by @ebrevdo
- Doc and typo fixes by Aurelien and @dave-andersen
- Speed improvements to ConvBackwardFilter by @andydavis
- Improve speed of Alexnet on TitanX by @zheng-xq
- Add some host memory annotations to some GPU kernels by Yuan.
- Add support for doubles in histogram summary by @jmchen-g
Base CL: 108158338 | Vijay Vasudevan | vrv@google.com | 1,447,872,455,000 |
f7918e1dcd5b0c1f8114f488fc35a63a81e94535 | TensorFlow: Removal of large assets and small other fixes.
Changes:
- Remove all large assets from the repoistory, incuding the other 50MiB
model protobuf and a lot of images in our g3doc directory. We will
maintain these assets externally for now. g3doc images may be
broken for a little bit, but the website will be fine, which
is the important resource. By @vrv and @petewarden. Updates
READMES to reflect the external model resources.
- Fix to saver's latest_checkpoint function by Zhifeng
- Made protos visibility public by @vrv
- Updates to docs by @mrry, Andy
- Embed tensorboard resource for summary icon by Daniel
- More updates to backwars compat by @josh11b
Base CL: 108194981 | Vijay Vasudevan | vrv@google.com | 1,447,893,697,000 |
8481c32837b97971846e8569c14dcfdcad18f448 | Call check_array on X and y to work with pandas and etc | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,900,921,000 |
919a2f4acd939bb62a87c25dbe7ad1fffefdccb7 | Moved out models into separate module. Added special handling in DataFeeder if batch size is equal to dataset size | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,904,335,000 |
642924ce2711e493772d9451e99d68c1b98f4e1b | removed handling for batch_size - shuffling is still useful | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,905,345,000 |
fe3e5d0d61ad3c88168883084b576508e565524f | Added tf random seed into the model to have consistent results | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,906,778,000 |
02d291162acb43380badbb9f60b2ec4091d28f5d | Added predic_proba and approproate unit test [well hopefully] | Christopher Bonnett | c.bonnett@gmail.com | 1,447,940,812,000 |
3f6d45776b2458c12dc28b1b8b9b6360f6a01739 | (some message stating you added .idea to ignored entries) | Christopher Bonnett | c.bonnett@gmail.com | 1,447,941,144,000 |
0521701f6e9e5a1ca7f12900a49ca56499571a76 | Added Deep NN models. Renamed prev models to Linear Classifier/Regressor. Updated how models are presented to Tensor to Tensor type, to allow easily specifing models. | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,985,043,000 |
6095247f524f97db7c3fc2aff1b75615c059b6b4 | update readme | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,985,289,000 |
2eeca44f660b0704f411c6dc63b70387257762b1 | Updated readme with custom model and link to first tutorial | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,985,651,000 |
7142d233e4d52aa508bc3f42297fee387ac0595f | Updated usage to include imports and prints | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,987,963,000 |
cdb4636a387ba6bd2d968eccb9c871a97a1834b6 | Updated readme: Added a bit of Why? and changed to print-functions | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,997,226,000 |
ee5326c99ad6e01b3b62dedb954923e11b513a83 | Adding conv2d ops to simplify future mnist example | Illia Polosukhin | ilblackdragon@gmail.com | 1,447,997,263,000 |
ebd3ed01b9d4ba51ac998fb6457fb9c2905e2d6d | Added example for digits classificaiton | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,000,687,000 |
dd67562fd92c590c547367ae032d0d7377ca3565 | link to examples in readme | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,000,795,000 |
dcd2c26743c6ccb680c548b44701d17084e490eb | Added Iris DNN as an example. | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,001,143,000 |
93beb28ac82322e6e52c0c646e2a652efdd54662 | fixed readme examples link | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,001,296,000 |
20bd82d76886120876099270834ddeefd217ad65 | Fix typo in readme. Thanks to +ybot1122 | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,043,080,000 |
9c3043ff3bf31a6a81810b4ce9e87ef936f1f529 | TensorFlow: Improve performance of Alexnet
Changes:
* error message that refers to removed `DefaultSession` method.
* -Wnull-conversion warnings
* the "_start_time" attr for recvs when the flag "--brain_enable_scheduling_for_recvs" is set.
* typo in tutorial data download progress message.
* a typo ("however their installing"=>"however installing").
* typo, rename "TensorFlow Mechanics" to "How To" to be consistent with the website.
* a typo ("subtact"=>"subtract").
* protobuf examples in comments in tensorflow::Example.proto.
* formula formatting in MNIST beginner tutorial
* negative fraction-of-queue-full stats
* protobuf inclusion path so that Android demo will build under Blaze.
* small typo (moderatly > moderately)
* Session.run() to check that tensor arguments come from the session's graph.
* another six import
* seq2seq typo in bazel command
Base CL: 108349164 | Manjunath Kudlur | keveman@gmail.com | 1,448,044,241,000 |
660039d1332ba128030af25f97d656d89ac2ad9e | Minor fixes to README.md | Surya Bhupatiraju | surya95@gmail.com | 1,448,065,121,000 |
7d10aafdd85d5430046153a5646fe02695d2ce5b | Merge pull request #3 from suryabhupa/master
Minor fixes to README.md | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,066,634,000 |
77d67a2ee08a554a9ccce77ab5013d2d38cb640b | Added DNN regressor example, added simple example for linear regression and some tips to process data to README. Updated trainer to print only ten statements if not provided special flag | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,165,613,000 |
3bc3770c3a46fac19345d133dc4152626b5b9c30 | Split Ops file into separate files to be able to scale number of ops without hassle. | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,257,010,000 |
d41da157414d8252bab96d43757cf2b2852cf319 | Moved out DataFeeder class into it's own file. Added a placeholder for StreamingDataFeeder. | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,258,288,000 |
e31f6887689c0b2f8d1f6a5d24b285bd2c920877 | ADAM: Mark beta*_power variables as non-trainable.
beta[12]_power variables in the ADAM implemenation are not marked
as non-trainable which can lead to very confusing results
when calling tf.trainable_variables().
Change-Id: Ibf4832615144d2aca7d10f8adcf70ac583fedd7e | Boris Daskalov | boris@hyperscience.com | 1,448,298,923,000 |
55f1242860026b478641e4e4e7f3a30bc3836d35 | Typo in README | Yuan (Terry) Tang | terrytangyuan@users.noreply.github.com | 1,448,409,678,000 |
42e19a2a08345468176b06405640bd5670e0b492 | Merge pull request #8 from terrytangyuan/patch-1
Typo in README | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,411,742,000 |
0eaf00d35735095cfc306b115a908e17b2c4beb0 | Work on #7 and #8: Implemented StreamingDataFeeder and added tests for both data feeders. Start adding support in DataFeeder for multi-dimensional targets | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,422,488,000 |
a366f522513241488597af4a69388b9383c46bf0 | Work on #7: Added support for streaming data to fit function | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,423,659,000 |
47f0c4908d259f72caa936103f907e73956922bf | Merge with cbonnett/master branch | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,423,878,000 |
2ae03711203bc8e536750e9515e83b448eb9db45 | Merge branch 'cbonnett-master' | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,423,958,000 |
a0c9a21802f1af26578f0a5522aaa32cc2ee8c16 | Moved shared code from predict and predict_proba to _predict. Added comments to fit/predict/predict_proba | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,424,554,000 |
614864803504e4c7acd02f9b68a73e34e15dd4a9 | Added link to 2nd part of the tutorial | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,425,044,000 |
a615e37b50ecc36764795bbc2dfe8d003e606aed | Working on #9: Added preprocessing for text: tokenizer, word vocabulary and vocabulary processor to transform documents. | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,430,158,000 |
2ea4a2aee516fed0e3ebec98ebc52c63e1fafb1b | Added test for unicode tokenizer and adjusted regex to handle that | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,430,971,000 |
2b71e39c00d07e63b89eb8e34e846bcdd4d04718 | Added license header to examples | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,434,295,000 |
58538862a8e1cc9aab98f03cd28d0485ebe1b5bd | Added dtype handling to data feeders to correctly pass what is type of the data to placeholders. Switched to use int64 for word indexes in VocabProcessor | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,434,361,000 |
840b03f90f20649b43a22a3de484b3ae69e6240b | remove debugging print | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,434,800,000 |
7a8c372a537eabd57c3b6e9274aaa3dc92d52825 | Added continue_learning flag to TensorFlowEstimator to allow continues learning when called fit multiple times. Small fixes in data feeder to match expected dtypes | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,439,238,000 |
634105240d4ccc4e17b0639584ce647b0bfbc639 | Work on #10, #5: Example of training RNN for DBPedia text classification problem (going from text description to one of 15 classes) | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,439,345,000 |
854f49bd43588c062b046384f239f64a3d819702 | TensorFlow: Upstream changes to git
Changes:
- Updates to docs
- Several changes for Python 3 compatibility
- Added license headers
Base CL: 108710566 | Manjunath Kudlur | keveman@gmail.com | 1,448,470,127,000 |
092506f3d3508e8454b5f7e3ae6f6114c1215957 | Added travis config for CI | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,476,904,000 |
6bbc2c42059660a7ff1ae6d90767d9837f3ff0b6 | moved installation for travis into a script | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,477,528,000 |
5fdf9a66e84c96cad51485b19de1a35bb9a1a173 | TensorFlow: Upstream changes to git.
Changes:
- Make compat accessible as tf.compat
Base CL: 108727647 | Manjunath Kudlur | keveman@gmail.com | 1,448,481,451,000 |
3972c791b9f4d9a61b9ad6399b481df396f359ff | TensorFlow: Upstream changes to git.
Changes:
- Fix README example to not include implicit print
Base CL: 108729071 | Manjunath Kudlur | keveman@gmail.com | 1,448,482,407,000 |
fcfc2a91f399eafd7cfd5e79cdddb15df4df96a7 | fix typo in travis install script | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,484,789,000 |
83186837c0cba564da3a76336fdf7238979e7859 | split installation of scipy+numpy before sklearn | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,495,017,000 |
0a166322f1fecbd9bb588ce3d1078619a49ecbaf | moved scipy & numpy installation to apt and added lapack/blas | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,496,141,000 |
bdb44703e9bd7f60798f0f812bd1705dba4a9532 | Fixes #11: Due to sklearn 0.16 validation.check_array not taking list of dtypes, addressed it by making a choice prior the call. | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,685,354,000 |
371863aabe84e4d059bb7f28367fa71cc9a7f23f | Fixes #13: Fixed readme to use skflow.models.logistic_regerssion and also created example in examples/ folder with this code to make sure it runs. | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,686,096,000 |
a581920e4b8d0cb0dd3510575df43a0f08b3b39c | Switch Travis to non-container due to errors with glibc in tensorflow when running inside docker. | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,687,317,000 |
b056d78354c0ff069b8f11fc111356d57e2df65f | Fixed Linear Regression example in README.md. Changed StandardScale().fit_tranform to StandardScaler().fit_transform | Dave Decker | dave.decker@gmail.com | 1,448,829,484,000 |
0cbe932bbc99984b52b18d56fb87a2c6aa2a12ad | Merge pull request #14 from dfd/fixreadme
Fixed Linear Regression example in README.md. | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,863,507,000 |
cbc1ecc351d45dc0e734755ea3716725929614bd | Switched from using column with entity name to entity description for text classification example. | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,864,509,000 |
add82f747fdbf89b0888b4c61ee59579630a86fe | Updated travis config to run on both osx and linux | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,935,627,000 |
778734aa83861944457791b78f38af7d075e822c | Added ByteProcessor to preprocessing library for character-level models | Illia Polosukhin | ilblackdragon@gmail.com | 1,448,945,215,000 |
795f35da2d458cbae477ac2fe2bff80c1427a771 | TensorFlow: upstream changes to git
Change:
Clean up documentation for ReverseSequence
Change:
Updated several tensorflow operations to use 32bit indices on GPU.
Change:
Add attribute batch_dim to ReverseSequenceOp.
Change:
Fix error in convert_to_records.py. As reported in
https://github.com/tensorflow/tensorflow/issues/370
by AlexUnderMicrocontRoll.
Change:
Update TensorBoard README.
Change:
Fixes to boolean flags reported in
https://github.com/tensorflow/tensorflow/issues/379. Supports:
--bool_flag=True --> True
--bool_flag=False --> False
--bool_flag=gibberish --> False
--bool_flag --> True
--nobool_flag --> False
Fixes #379
Change:
Update generated Op docs.
Change:
Enable local development of TensorBoard using gulp
Also make tf-tensorboard a regular component rather than special case
This is mostly effected by creating tfserve.js, which is a small server
with clever routing to load from bower_components/ and components/ using
the paths that work within google3.
Workflow: `gulp serve`
Change:
Add a full working code example to the tensorboard and summaries tutorial
Change:
Fix seq2seq_test when running on GPU.
The "proj_w" and "proj_b" variables were being created before the
`test_session()`'s device function took effect, which pushed the
placement algorithm into making an incorrect decision.
Change:
Add a sentence in TensorBoard README on how to serialize summary data to logs and provide link to the how-to tutorial on the TensorFlow website.
Change:
Add error-catching code if string_input_producer is supplied a null input.
Before this change, it would die with an opaque shape error from inside
the queue. This change catches (most) python null lists being
passed directly in, and at runtime detects null tensors.
Adds two tests for this to input_test.py
Change:
Speed up for models that use the same variable multiple times in the case
where variables must be copied across devices:
- Have Variables wrap the Variable op in an Identity op when converted to Tensor.
This avoids multiple copies across devices if a variable is used multiple time
in a computation.
- Add Variable.mutable() to return the non-wrapped Variable op for used when
assigning new values.
- Add an as_ref parameter to convert_to_tensor() to allow code to specify
if they plan to assign a new value to the result of the conversion. Make Variable
return the result of Variable.mutable() when as_ref is True.
- Make all ops that assign values to variables pass as_ref=True when converting
their arguments.
Change:
Change to reduce critical section times in gpu_event_mgr.h:
(1) Call stream->ThenRecordEvent outside the EventMgr critical section
(2) Do memory deallocation outside the critical section
Speeds up one configuration of ptb_word_lm from 2924 words per
second (wps) to 3278 wps on my desktop machine with a Titan X.
Change:
Remove some colons that break the open source build
::tensorflow::StringPiece breaks for @raingo, see
https://github.com/tensorflow/tensorflow/issues/358.
tensorflow::StringPiece (without the leading colons)
seems to fix the problem.
Change:
Added check that inputs to Operation is a list and make a defensive copy of the input. This is for cases where the input list is changed such as in _add_input.
Change:
Use standard names for TensorFlow dtypes in the tutorial.
Change:
Add tests for tensor inputs.
Change:
Fix build after declaring more types for ops
Change:
Switch to 32 bit indexing to speedup convolutions and concatenations.
Change:
Add convert_image op to convert between types for images (similar to OpenCV's cvtScale).
Change:
Make cast work between numeric types (bool, uint8, int16, int32, int64, float, double).
Change:
Padding input data for odd number of paddings, so we can use cudnn anyway.
+ Fix total padding computation when padding==VALID.
+ This CL makes the Googlenet benchmark run 5x faster.
Change:
Support IndexedSlices in ConcatGrad
Change:
* sampled softmax op uses one embedding lookup for positive and negative samples
* float64 support for sampled softmax
Change:
Move RNN code out of models.rnn (without breaking existing code). The API may still undergo minor changes, until full documentation as added.
Change:
Changed to use per-step stacks for the accumulators used in while-loop gradient computation. This addresses the problem caused by using concat without sufficient static shape information. It should also improve performance as we avoided those expensive concats.
Change:
Update generated Op docs.
Change:
Improve error messages when the optimizer finds no variables to minimize or
when none of the variables has gradients.
Change:
Say that -1 isn't just for flattening in reshape docs
Also add scalar reshape (reshape(t, [])) as an example.
This fixes https://github.com/tensorflow/tensorflow/issues/281.
Change:
This is a test.
Base CL: 109118714 | Vijay Vasudevan | vrv@google.com | 1,449,005,213,000 |
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