hash stringlengths 40 40 | msg stringlengths 1 131k | author stringlengths 1 33 | email stringlengths 0 57 | date int64 1,447B 1,698B |
|---|---|---|---|---|
f586a5ee94465f8f482964c6bbcc1206f160af35 | TensorFlow: update google/protobuf version to
956a770adc772184e5911f964b866028465d1727 for bazel 0.1.2 | Vijay Vasudevan | vrv@google.com | 1,449,006,651,000 |
fa095c5db0ac9cfe2328a19b32ae208e58e3746a | TensorFlow: upstream changes to git
Change 109195845
Fix TensorFlow for build against Bazel 0.1.2rc2
Two things are currently broken with TensorFlow and Bazel 0.1.2:
- Bazel now use sandboxing by default on Linux and have fixed it for cc_* rules.
Undeclared headers are not mounted in the sandbox which make several cc_* rules
fails.
- Bazel now enforce strict header checking and some target were missing
headers even though the headers were mounted in the sandbox. This change
adds a "strict_headers" target that globs every headers of the core
library and add it to the `tf_cc_tests` targets.
Change 109162708
Fix various website issues
- Fix headline in os_setup.md
- Fix #anchor links
Change 109162129
Fix numbers in mnist tutorial, fixes #362
Change 109158967
Fix typo in word2vec tutorial, fixes #347
Change 109151855
Fix tile and its gradient for scalars on GPUs
Eigen doesn't handle scalars on GPUs in all cases. Fortunately, both
tile and its gradient are the identity for scalars, so we can just copy
the input to the output.
Fixes https://github.com/tensorflow/tensorflow/issues/391.
Change 109140763
Support int32 and int64 in tf.random_uniform
This requires a new RandomUniformInt op on the C++ side since the op needs
to know minval and maxval.
Fixes https://github.com/tensorflow/tensorflow/issues/364.
Change 109140738
Fix spacing in docs.
Change 109140030
Fix content nav to not hide the bottom 100 or so px.
Change 109139967
Add license files to TensorBoard files, fix mnist_with_summaries test
Change 109138333
Fix typos in docstring
Change 109138098
Fix some missing resources in the website.
Fixes #366.
Change 109123771
Make sparse_to_dense's default_value default to 0
Nearly all uses of sparse_to_dense use 0 as the default. The
same goes for sparse_tensor_to_dense.
Base CL: 109198336 | Manjunath Kudlur | keveman@gmail.com | 1,449,076,365,000 |
bf6b536bde7d8060c489b51fedb58968b8cbfd7c | TensorFlow: Upstream changes to git.
Change 109240606
Fix typo
Change 109240358
Fix bug in Concat's shape inference due to legacy scalar handling.
The shape function was inadvertently converting outputs of unknown
shape (rank=None) to vectors of unknown length (rank=1), due to
inability to distinguish between legacy scalars and vectors, because
`max(1, None)` is 1.
Change 109237152
Remove numarray requirement in python_config.
Change 109234003
Fix typo in elu documentation.
Change 109232946
Python must now be configured via ./configure script
Change 109232134
Backported fixes to the tensor comparison operators from the public Eigen repository
Change 109231761
Test invalid inputs to softmax_cross_entropy_with_logits.
Change 109230218
Backported fixes to the tensor comparison operators from the public Eigen repository
Change 109229915
Correct comments in seq2seq to show the right input types for embedding models.
(Thanks to hugman@github for bringing this up.)
Change 109229118
Fix resize_images example in documentation and allow resize_images to run on a single image with partially-known shape.
Change 109228940
Fix demo and node add/remove button spacing
Change 109227909
Include Elu in the NN docs.
Change 109227059
Adds variable_op_scope and makes variable_scope always add a name_scope.
This creates an op scope for variables that makes it easy to create independent
operations with a default name by making that name unique for the current scope
and it allows explicit names that are not made unique.
Change 109224492
Streamline yuv -> rgb conversion to be done in one pass in native code.
The entire process now takes ~2ms (including the ByteBuffer.get() calls), down from 10+ ms when the arrays were being interleaved in Java prior to conversion.
Also abstracting common yuv->rgb color conversion into helper method.
Change 109224389
Add ability to move nodes in and out of auxiliary nodes in graph.
Change 109217177
Update generated Op docs.
Change 109215030
Implementation of the ELU activation function: http://arxiv.org/abs/1511.07289
Change 109209848
When GPUBFCAllocator runs out of memory, also log a summary
of chunks in use by size.
Change 109206569
Switched to the public version of the Eigen::sign method since it supports complex numbers.
Change 109199813
Modify tensorflow.SequenceExample to support multiple-length sequences.
Base CL: 109241553 | Vijay Vasudevan | vrv@google.com | 1,449,097,480,000 |
bb7a7a8858dc18ba733ed64e0733e27a4224ece8 | TensorFlow: upstream changes from eigen to fix build from
changes in last commit. | Vijay Vasudevan | vrv@google.com | 1,449,097,537,000 |
a4806a3fba7c00bea3e7022477339b2d09539751 | TensorFlow: upstream changes to git.
Change 109321497
Move all images to images directory to make docs versioning easier
- adjust all paths in the docs to point to the new locations
- remove some now redundant section-order tags added for the old website
Change 109317807
Added a kernel op to compute the eigendecomposition of a self-adjoint matrix.
Added a new kernel op called self_adjoint_eig (and a batch_self_adjoint_eig) that
computes the eigendecomposition of a self-adjoint matrix. The return value is
the concatenation of the eigenvalues as a row vector, and the eigenvectors.
Change 109310773
Change `_read32()` in the MNIST input example to return an int.
Currently we return a 1-D numpy array with 1 element. Numpy has
recently deprecated the ability to treat this as a scalar, and as a
result this tutorial fails. The fix returns the 0th element of the
array instead.
Change 109301269
Re-arrange TensorBoard demo files.
Change 109273589
add ci_build for ci.tensorflow.org
Change 109260293
Speed up NodeDef -> OpKernel process by not spending time generating
an error message for missing "_kernel" attr that will be thrown away.
Change 109257179
TensorFlow:make event_file_loader_test hermetic by using tempfile
instead of fixed filenames. Without this change, running
event_file_loader_test twice in the same client (locally)
causes it to fail, because it writes into the same file and appends
another event, instead of starting from scratch.
Change 109256464
Minor cleanup in TensorBoard server code
Change 109255382
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 109254843
Fix use of uninitialized memory in test.
Change 109250995
python_config.sh needs a license header
Otherwise the license test fails.
Change 109249914
add ci_build for ci.tensorflow.org
Change 109249397
Fixes reduce_sum (complex) on GPU segfaults.
Fixes #357
Change 109245652
add ci_build for ci.tensorflow.org
Base CL: 109321563 | Vijay Vasudevan | vrv@google.com | 1,449,167,185,000 |
3f87accf81942e510cab21c4e08aa73d088ae389 | Merge "ADAM: Mark beta*_power variables as non-trainable." | Manjunath Kudlur | keveman@google.com | 1,449,178,849,000 |
eb5e56e479a41ad3696ea351e5804d17464d521a | TensorFlow: Upstream changes to git.
Change 109344341
Teach ./configure about Python 3 (and other minor Python 3 issues)
./configure now writes bazel.rc based on a bazel.rc.template, which gives us a
place to tell bazel which version of Python we were using.
Also fix a few tests whose Python 3 support had degraded.
The only thing left before we have Python 3 support is
https://github.com/google/protobuf/pull/1023
Change 109343002
Update ops.pbtxt to reflect 109321497.
Change 109342838
Do memory deallocation outside the critical section in gpu_event_mgr.cc.
Change 109334210
PTB LSTM example: use slicing instead of splitting the inputs.
Change 109332238
Cleanup TensorBoard local development environment
Change 109331051
Use __all__ in __init__.py to restrict exported modules
Specifically, __all__ is now anything that (1) doesn't begin with an underscore
and (2) isn't a non-whitelisted module.
This fixes one tiny piece of b/25561952. Specifically, the following no longer
exist: tf.np, tf.math_ops, and tf.variables. tf.ops and tf.tensor_util still
exist but shouldn't; that will have to wait for a later CL.
Change 109327154
tf.tuple allow Tensors to be passed in as control_inputs like tf.control_dependencies.
Change 109324239
Make tf.control_dependencies(None) clear the control dependencies.
Use that to prevent ops created for Variables to inherit the current
control dependencies.
This fixes issues when using ExponentialMovingAverages with control
dependencies.
Change 109323719
Added support for boolean tf.scatter_update.
Base CL: 109348398 | Vijay Vasudevan | vrv@google.com | 1,449,182,382,000 |
aaafbc0be0540b4c3117e64864b7e4a3f1b50a2c | Merge sso://tensorflow/staging | Vijay Vasudevan | vrv@google.com | 1,449,183,137,000 |
54a644f33f34a32fa2cb5e7a489c64540b16e166 | TensorFlow: upstream changes to git
Change 109366961
TensorFlow BUILD: now that we have an ops library,
set linkstatic to 1. This fixes a breakage in the would-be
opensource build, and it *might* mean we can get rid of
all of the RequireDefaultOps() calls in our code.
The ops library is much smaller than the kernels library that was
previously linked together. We set linkstatic=0 presumably since we
didn't want to package a static copy of the kernels (very large)
everywhere. But the op definitions are small, so this seems like a
safe change to make. Time to build the various tests was not
any longer after this change, and inspecting the example_trainer
binary showed no large increase.
Change 109363613
TensorFlow: new graph_def_builder_test needs to RequireDefaultOps.
Change 109362569
Split ":ops" out of ":kernels" target in tensorflow/core.
Change 109360666
Catch dtype and some shape errors sooner in `QueueBase`.
Some avoidable errors were not being caught (e.g. the dtypes of the
enqueue components were not checked against the queue's dtypes in
Python), leading to cryptic messages at runtime. After this CL, they
will be caught earlier.
Change 109359569
TensorFlow: Expect g_ != nullptr in test
Change 109350735
Add a version number to GraphDef
We would like to be able to deprecate behavior in newly generated graphs
without invalidating tensorflow's ability to read and evaluate old graphs.
For this purpose, GraphDef now has a version field which can be checked inside
op kernels to determine how backwards compatible to be. version.h defines
TF_GRAPHDEF_VERSION_MIN and TF_GRAPHDEF_VERSION_MAX specifying the range of
supported GraphDef versions in the current version of tensorflow.
Also expose tf.__version__ and tf.__graph_def_version{,_min,_max}__ for Python
interrogation purposes.
Whenever we want to deprecate or change some GraphDef semantics, we will
proceed as follows:
1. Bump TF_GRAPHDEF_VERSION_MAX, leaving TF_GRAPHDEF_VERSION_MIN unchanged.
Describe the change in graph.proto, include the date introduced.
2. In each relevant kernel, implement the new behavior if the GraphDef version
is new, but preserve the old behavior for previous GraphDef versions.
3. Wait six months or so (we need to formalize this somewhere).
4. Bump TF_GRAPHDEF_VERSION_MIN and remove the backwards compatibility.
The GraphDef version is distinct from the open source version, but at least
(4) and possibly (1) correspond to major version number bumps.
The first GraphDef version bump is the upcoming scalar strictness change,
which affects Google users only since open source is already scalar strict.
This commit does not yet plumb the version number into OpKernelConstruction
so that ops can access it. That will follow.
Change 109350260
Made TensorShapeProto implicitly convertible to TensorShape.
Base CL: 109366982 | Vijay Vasudevan | vrv@google.com | 1,449,194,176,000 |
e4556746cea3fc8123ce44c4db0ebff76053ae52 | Merge: TensorFlow: upstream change to git. | Vijay Vasudevan | vrv@google.com | 1,449,194,644,000 |
f16de3980e34e2f02e39705e1ba55410656e87ac | Require trusty release on Travis to get correct version of GLIBC | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,205,744,000 |
bd67595c546115c54983de3c48d92f3c91d2e49e | Updated to not intall sklearn via apt-get but via pip | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,206,958,000 |
d5814f312f3ff49193b3826d4050886f3e3aed3f | Added train/test split for custom model example | Yuan (Terry) Tang | terrytangyuan@users.noreply.github.com | 1,449,241,564,000 |
5852d6c6c7b7ccd277ce0f389d1817899e9800f0 | Added train/test split for iris example | Yuan (Terry) Tang | terrytangyuan@users.noreply.github.com | 1,449,241,723,000 |
875a126b33d6895df03d69dc911d9dab978d10fa | tidy documentation, fix typographical errors | William Dmitri Breaden Madden | william.dmitri.breaden.madden@cern.ch | 1,449,243,417,000 |
3dfd14421d71c1d6a79f72217cd7b6510cbcb38f | TensorFlow: upstream changes to git.
Change 109418220
Update WORKSPACE to use gmock.BUILD from google/protobuf instead of a duplicate.
Update google/protobuf's commit hash to include damieng@'s commit.
Change 109417314
TensorFlow: add .gitignore to ignore some in-tree modified files.
Change 109400051
Optionally build full TensorFlow for Android.
1. --define ANDROID_TYPES=__ANDROID_TYPES_FULL__ to register ops
for all types, not just float. Today this increases codesize
by ~700K when compiled for ARM, though only for clients who
request full type support.
2. Add more ops to android_extended_ops, sufficient to train on
the linear regression baseball codelab.
Change 109388118
Fix the option changed in templatize. Oops.
Change 109382553
Allows setting a function name in an op's attr in the py frontend.
Change 109380896
Remove assert_same_graph in favor of op_scope. Change the latter to handle tensor-like objects such as SparseTensor, IndexedSlices, and Variable.
Base CL: 109418322 | Manjunath Kudlur | keveman@gmail.com | 1,449,251,649,000 |
64cd096a0e307b8b8ebad03d5236d7a2ccb64a5d | Updated WORKSPACE to point to google/protobuf/gmock.BUILD | Manjunath Kudlur | keveman@gmail.com | 1,449,251,726,000 |
e102830a543823b4d8c0a0d066b96e733b62078b | Merged staging repo. | Manjunath Kudlur | keveman@gmail.com | 1,449,256,421,000 |
5aeeab6603cf176de583819f54f5878644c3ebd9 | Removed bazel.rc as it's autogenerated now from a template. | Manjunath Kudlur | keveman@gmail.com | 1,449,256,612,000 |
04c2e1915b7c4a585e0002a95025da3096e4587d | change obsolete string modulo to string formatting, change print statement to print function, fix typographical error | William Dmitri Breaden Madden | william.dmitri.breaden.madden@cern.ch | 1,449,266,200,000 |
40d0d2904e8e00d3c4bf43fa62130eeebceef147 | TensorFlow: update google/protobuf to newest commit that
supports python3 | Vijay Vasudevan | vrv@google.com | 1,449,274,523,000 |
cdf0dbff784c55b2e599e956148b5c48828435e7 | Merge from internal | Vijay Vasudevan | vrv@google.com | 1,449,275,883,000 |
0af9c7472bdebe267f8e7135ce92bd2c4d685cb3 | Setup the summary writer for later optional visualization | Yuan (Terry) Tang | terrytangyuan@users.noreply.github.com | 1,449,280,190,000 |
c7a4c5562f82de48c27df970d6daebb2b5954503 | Disable OSX on Travis for now. | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,280,321,000 |
23788319a1097b4d59747e28703018c02697de36 | Merge pull request #17 from wdbm/master
tidy documentation, fix typographical errors | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,280,477,000 |
11b6738898be7961d3cdfbda17dd8589b1e36116 | Merge branch 'master' of https://github.com/terrytangyuan/skflow into terrytangyuan-master | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,280,703,000 |
49cb745c0b6d258baf592dcef50cdafe2b6523d9 | Merge branch 'terrytangyuan-master' | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,280,718,000 |
c9f43c2606afe19279ff38a5d42b97693a17cc90 | Merge branch 'patch-1' of https://github.com/terrytangyuan/skflow into terrytangyuan-patch-1 | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,281,025,000 |
5d15d0e543ae7fa8c6624b2b4b0734532f228a27 | Merge branch 'terrytangyuan-patch-1' | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,281,033,000 |
d04d51d02f8cfa9044f403e1cf1ca43cbc63c284 | Fix broken test due to summary writer | Yuan (Terry) Tang | terrytangyuan@users.noreply.github.com | 1,449,293,475,000 |
cf60881fff6321154940d6c346b817fa79b13cc4 | Added Travis badge | terrytangyuan | terrytangyuan@gmail.com | 1,449,293,711,000 |
61d9014a5349980abf3d94baa58ef0742dbcb95a | Apache license badge | terrytangyuan | terrytangyuan@gmail.com | 1,449,294,095,000 |
bb04e131f657ba5c3750153616e39d15d0d63481 | Fix link on badge | terrytangyuan | terrytangyuan@gmail.com | 1,449,294,800,000 |
874988eb7ef78103871e34eeb22503dc44d942bd | Merge pull request #19 from terrytangyuan/master
Some Badges | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,297,003,000 |
7940ab9639f9477561ce3291f840fdacf9d4c5e9 | Ref #7 Added explicit partial_fit to TensorFlowEstimator that calls currently just fit(), because fit is currently does partial fit every time you call it after first. | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,301,137,000 |
02280ca6b525f4000a6c753d46080e7873698827 | Merge branch 'master' of github.com:google/skflow | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,301,265,000 |
c707aec44aa2250fdd5f4bceb5d0faea4eddca56 | Ref #7: Updated comment on fit() to emphasis that it works at partial_fit | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,301,386,000 |
87d008c74a387cb410fef7fdc8f3546f5fa6c694 | added returns comment to partial_fit | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,302,078,000 |
508c21ee7d7d3cdbd9372513345ebb3ae509d3f1 | Added logdir with timestamp | terrytangyuan | terrytangyuan@gmail.com | 1,449,334,836,000 |
2c30a0b17c58d18469112b0b4d8b6682e3812580 | Docstring for summary writer | terrytangyuan | terrytangyuan@gmail.com | 1,449,335,055,000 |
370beed492dd0db88e720c7420a212ff47029ab4 | Made summary writer optional | terrytangyuan | terrytangyuan@gmail.com | 1,449,338,552,000 |
e82fccc9cc27b535a60b4e13a0b4251269c858cc | Added more comments into text classification | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,369,821,000 |
5f1a6a4e388869573bed17eb041011d11e811c8e | Remove unnecessarily assigned variable for summary writer | terrytangyuan | terrytangyuan@gmail.com | 1,449,377,113,000 |
06c5567d3b67faf5d577471c8e047d8346088a04 | Add parameter to log device replacement | terrytangyuan | terrytangyuan@gmail.com | 1,449,377,582,000 |
afeec64c631f66111b1150176e0d00e946919224 | Added example of using multiple GPUs | terrytangyuan | terrytangyuan@gmail.com | 1,449,378,419,000 |
ad11530879c9aaf3308aee85f75c32bb8e1fe706 | Added multiple GPUs example to README (+1 squashed commit)
Squashed commits:
[38746e1] Added multiple GPUs example to README | terrytangyuan | terrytangyuan@gmail.com | 1,449,378,723,000 |
7e5d249ecaa52dba122d133a8f98b986778f4262 | Changed travis test structure; Added lint test | terrytangyuan | terrytangyuan@gmail.com | 1,449,419,082,000 |
4e1386507c2cd4cce05d9974a2bf0e20d99173f8 | install/setup lint test | terrytangyuan | terrytangyuan@gmail.com | 1,449,419,512,000 |
938107d82e65e92e9a7c9380152783f066df68c7 | seperate install by task | terrytangyuan | terrytangyuan@gmail.com | 1,449,419,554,000 |
91a336c0f82c69bdd2c4546b39d58f2a00530ca9 | Fixed wrong path for install script | terrytangyuan | terrytangyuan@gmail.com | 1,449,419,799,000 |
eda27a7637a205d47c98de99d6e1e19f101e01fe | Correctly trigger pylint | terrytangyuan | terrytangyuan@gmail.com | 1,449,420,646,000 |
0fa02404917e0bef256d79cc0234e718f09591bd | Fix pylint install on Travis | Yuan (Terry) Tang | terrytangyuan@users.noreply.github.com | 1,449,425,868,000 |
f9d3e9d03c69bfac77a2fe1ad80f7c5aa517e0f0 | TensorFlow: upstream latest changes to git.
Change 109537918
TensorFlow pip setup: wheel >= 0.26 for python3 pip install
Change 109505848
Fix distortion default value to 1.0 in fixed_unigram_candidate_sampler. This means we default to the actual provided unigram distribution, instead of to the uniform (as it is currently).
Change 109470494
Bugfix in gradients calculation when the ys rely on each other.
Change 109467619
Fix CIFAR-10 model to train on all the training data instead of just 80% of it. Fixes #396.
Change 109467557
Replaced checkpoint file with binary GraphDef.
Change 109467433
Updates to C++ tutorial section.
Change 109465269
TensorFlow: update documentation for tutorials to not assume use of bazel
(when possible).
Change 109462916
A tutorial for image recognition to coincide with the release of the latest Inception image classification model.
Change 109462342
Clear control dependencies in variable_scope.get_variable() when creating
ops for the initializer.
Add tests of various error conditions.
Change 109461981
Various performance improvements in low-level node execution code paths.
Speeds up ptb_word_lm on my desktop with a Titan X from
3638 words per second to 3751 words per second (3.1% speedup).
Changes include:
o Avoided many strcmp operations per node execution and extra touches
of cache lines in executor.cc, by making all the various IsMerge,
IsSwitch, IsSend, etc. operations instead be based on an internal enum
value that is pre-computed at Node construction time, rather than doing
string comparisons against node->type_string(). We were doing about
6 such comparisons per executed node.
o Removed mutex_lock in executor.cc in ExecutorState::Process. The
lock was not needed and the comment about the iterations array being
potentially resized is not true (the iterations arrays are created
with a fixed size). Checked with yuanbyu to confirm this.
o Added new two-argument port::Tracing::ScopedAnnotation constructor
that takes two StringPiece arguments, and only concatenates them
lazily if tracing is enabled. Also changed the code in
platform/tracing.{h,cc} so that the ScopedAnnotation constructor and
the TraceMe constructor can be inlined.
o In BaseGPUDevice::Compute, used the two-argument ScopedAnnotation
constructor to avoid doing StrCat(opkernel->name(), ":",
op_kernel->type_string()) on every node execution on a GPU.
o Introduced a new TensorReference class that just holds a reference to an
underlying TensorBuffer, and requires an explicit Unref().
o Changed the EventMgr interface to take a vector of TensorReference objects
for EventMgr::ThenDeleteTensors, rather than a vector of Tensor objects.
o Used TensorReference in a few places in gpu_util.cc
o Minor: switched to using InlinedVectors in a few places to get better
cache locality.
Change 109456692
Updated the label_image example to use the latest Inception model
Change 109456545
Provides classify_image which performs image recognition on a 1000 object label set.
$ ./classify_image
giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca (score = 0.88493)
indri, indris, Indri indri, Indri brevicaudatus (score = 0.00878)
lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens (score = 0.00317)
custard apple (score = 0.00149)
earthstar (score = 0.00127)
Change 109455002
TensorFlow: make the helper libraries for various models available
in the pip package so that when users type:
python translate.py ...
the absolute import works.
This change is supposed to help make our tutorials run without the
*need* to use bazel.
Change 109450041
TensorFlow: remove cifar and convolutional binary copies from pip install.
Adds embedding and some other models to the list.
Change 109448520
Move the description of a failing invariant from a comment into the dcheck-fail message text.
Change 109447577
TensorBoard has release tagging (tensorboard/TAG)
Also track TensorBoard changes (tensorboard/CHANGES)
Change 109444161
Added ParseSingleSequenceExample + python wrappers + unit tests.
Change 109440864
Update all the TensorFlow Dockerfiles, and simplify GPU containers.
This change updates all four of our Dockerfiles to match the targets discussed
in https://github.com/tensorflow/tensorflow/issues/149. The most notable
change here is moving the GPU images to use the NVidia containers which
include cudnn and other build-time dependencies, dramatically simplifying both
the build and run steps.
A description of which tags exist and get pushed where will be in a follow-up.
Change 109432591
Some pylint and pydoc changes in saver.
Change 109430127
Remove unused hydrogen components
Change 109419354
The RNN api, although moved into python/ops/, remains undocumented.
It may still change at any time.
Base CL: 109538006 | Vijay Vasudevan | vrv@google.com | 1,449,442,408,000 |
ad50dafe8dfc9ee2b3e0f21d4a1ff37a80f220aa | TensorFlow: merge commits from internal | Vijay Vasudevan | vrv@google.com | 1,449,444,395,000 |
6129b89340828b0c2831f2ffef8a89843b00b72e | TensorFlow: upstream changes to git
Change 109540764
TensorFlow: some edits to image_recognition tutorial.
Base CL: 109540774 | Vijay Vasudevan | vrv@google.com | 1,449,448,540,000 |
f0b18a236426b1aa3691012b8df08c8137acb220 | TensorFlow: merge one more commit from internal | Vijay Vasudevan | vrv@google.com | 1,449,448,741,000 |
7e9067e4396e568345b61988031de04b316465a6 | Clean up the introductory text of a tutorial
Change 109544196
Clean up the introductory text of the tutorial.
Base CL: 109546821 | Vijay Vasudevan | vrv@google.com | 1,449,461,175,000 |
f29c9d5f6560edac514d70b8e87ce955d7b647b3 | TensorFlow: merge changes from internal | Vijay Vasudevan | vrv@google.com | 1,449,461,319,000 |
11e3d0faf251f4b6ed8f37a27fe5f2509b9a2457 | Change 109547811
TensorFlow: update left nav bar
Base CL: 109547821 | Vijay Vasudevan | vrv@google.com | 1,449,463,044,000 |
17b095cdec63d6170d05fb16d4ea4fcaf208e7a0 | TensorFlow: Merge changes from internal (navbar website update) | Vijay Vasudevan | vrv@google.com | 1,449,463,093,000 |
c842c58716ad1bf55fda9eab86cbfb9fb9748078 | TensorFlow: Add a port mapping option for docker command.
Changes:
* Add port mapping options to `docker run` commands in
docker_run_gpu.sh and README.md. Docker on Mac needs an extra option
`-p` to expose 8888 for Jupyter Notebook. The added option makes the
behavior of containers consistent on both Ubuntu and Mac.
Change-Id: I29002329f08d7dc05415925e9b2aedbd3f112813 | Dongjoon Hyun | dongjoon@apache.org | 1,448,216,426,000 |
961fd75d9243092d8279db0c48107e5c94b633cc | Resolve Merge Conflict
Very minor fix to clean up comment, erased blank line (line 209 basic_usage.md)
Added a session close the Interactive Session in the 'Getting Started' tutorial
-so that no exceptions are thrown when a user tests later examples in the same python kernel.
Highlighted 't[i,j,k]' for read consistency in tutorial (line 21, resources/dim_types.md)
Change-Id: I9c0d8a6f6651bbb6a00bddecc0977b512e394669 | dresimpelo | dresimpelo@gmail.com | 1,448,055,506,000 |
1feceb690611b2a9d835ce2643ada4129380d9c8 | Update MNIST tutorial for beginners to indicate that the data is split into 3 rather than 2 parts.
Change-Id: I8f4b4453d07d25964ca756d40e6925b549c5f220 | Jeff Hammerbacher | jeff.hammerbacher@gmail.com | 1,449,531,107,000 |
cd53f3c3302c9312c1840389a9988a879b8b9dd5 | TensorFlow: upstrea changes from git.
Change 109628097
Fix gcc 4.8.1 compile
Modified from patch by @assolini here:
https://github.com/tensorflow/tensorflow/issues/405
Change 109624275
Make preview frame ImageReader global so that it does not get GC'd.
This may fix an issue with connecting to the camera on some devices where the underlying Surface is prematurely cleaned up (http://stackoverflow.com/questions/33437961/android-camera-2-api-bufferqueue-has-been-abandoned).
Change 109620599
- improved test a little to make it easier to understand as it serves as an
example for users
Change 109614953
TensorFlow: update tutorials/howtos to point to correct
location of files, show python example in addition to bazel.
Change 109612732
TensorFlow: move reading_data into examples, change data dir
to /tmp/data. Validated that they all run, but these
probably need a selftest at some point.
Change 109608695
Apply 'gate_gradients' only when there is more than one real gradients.
Change 109605014
There are 3 obvious places to start using TensorFlow. 2/3 of the starting points do not have a link to the installation instructions.
Change 109604287
Make the `tf.reshape` shape function more restrictive.
Previously, it did not raise a construction-time error if the input
shape and the new shape were incompatible; now it detects this and
raises a `ValueError`.
Change 109603375
TensorFlow: Move word2vec_basic.py from g3doc/ to examples/
There are no additional libraries this uses, so nothing else
needs to be done
Change 109601289
TensorBoard tag 3
Change 109600908
Decrease number of scalar values stored by TensorBoard.
10k is more than displays nicely.
Change 109599464
Fix "smart restart" functionality in TensorBoard (it throws away dead data)
After restarts, a file_version event is created that always has step 0.
We need to ignore this.
Change 109597667
Switch to using /dev/urandom for TensorFlow randomness.
Using /dev/random leads to slowdown when running in an environment
with poor access to an entropy source (such as some VMs). /dev/urandom
has more predictable performance, and we don't require
cryptographically secure random number generation, so a PRNG is good
enough.
Also removes the use of the RNG in DirectSession construction. This
was being used to generate a session handle, which is not necessary
(since a DirectSession owns its devices, we don't need a unique handle
to key the OpSegment objects registered with the various devices).
This addresses bugs that have been reported on the mailing list and
Stack Overflow.
Change 109596906
Add an is_unsigned property to dtype
Change 109596830
Remove unnecessary fill in clip_by_value
Change 109591880
Remove Android demo's libpthread.so dummy file (required by protobuf) from repo and generate it at compile-time.
This makes the Android demo more portable, as the generated file will now always be the correct archictecture for linking.
Change 109589028
Isolating out the RTTI part of TensorFlow and add non-RTTI backups for Android.
This saves about 400KB of the compiled library, when compiling the Android
tensorflow target with -fno-rtti.
Change 109589018
Internal reworking of LSTMCell.
Change 109588229
Allow bool-valued tensors to be persisted.
Change 109577175
TensorBoard host defaults to 0.0.0.0
Change 109551438
TensorFlow: move mnist g3doc tutorials into tensorflow/examples.
Update examples to point to the correct location.
Adds tests to make sure they don't regress, do some lint cleanup.
Base CL: 109630240 | Vijay Vasudevan | vrv@google.com | 1,449,532,080,000 |
a5d8217c4ed90041bea2616c14a8ddcf11ec8c03 | Merge from internal. | Vijay Vasudevan | vrv@google.com | 1,449,533,033,000 |
f32659b041c2d3150fd8d49d5ab8b6f27c4cb94c | Change "can" to "must" to avoid ambiguity in required arguments
Change-Id: Icc43cfc9950c7acae145a37af8eb83282dada455 | Jim Fleming | jimmy.fleming@gmail.com | 1,449,264,451,000 |
9b17502aaa6098b342210f6646dcbbf8909444c6 | Captured graph into a variable in TFEstimator and added handling for small number of steps in TFTrainer | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,557,047,000 |
43cd5c01318e4c51d65eb53f77a2b27ef72c557d | Fixes #22: Added cross_validation to iris.py and iris_custom_model.py | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,557,174,000 |
64bfe1b355db08935db8785bfeeb56ecfc19fb59 | Merge pull request #18 from terrytangyuan/patch-2
ENH: Setup the summary writer for later optional visualization | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,557,329,000 |
30cb4ca6c1cc22eb135382a065e7fb310435577b | Merge branch 'multGPU' of https://github.com/terrytangyuan/skflow into terrytangyuan-multGPU | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,557,537,000 |
cff8e6e57ed1ecfdbb34e541196fc30a1d643d29 | Merge branch 'terrytangyuan-multGPU' | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,557,558,000 |
c69b3c78a0cf714b8736da9229d17891aba6a8f5 | Merge branch 'master' of github.com:google/skflow | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,557,660,000 |
46f83bd6bbb7f262c8fcee272fff319a83cbf702 | Merge branch 'travis' of https://github.com/terrytangyuan/skflow into terrytangyuan-travis | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,557,694,000 |
cbfc6804a54f3188051dc750c169ce9a840be2d2 | Major styleguide shakeup to satisfy pylint | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,560,792,000 |
1d7430c2769d537d0440e17da2ce57d3e19afae6 | Added pylint.rc with disabled number of non-representative (at this point) warnings | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,560,844,000 |
57d328be3e811df85123852e15e3de403a647045 | remove accidental .swp | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,560,943,000 |
7f258621e08e2cd0b85c878b155c86fc83cef979 | removed accidental file | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,561,650,000 |
fb8f783c60cb5cb869f790bc7ea624d85d0a1170 | Fixed split_squeeze and expand_concat | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,561,669,000 |
27a4e9d5d626b8775c85f045826ed4de0ad8dde6 | Added custom regex for unused variables (usused_*) | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,561,964,000 |
e35c3adde38f5ac5b59b60b087e576e3a195f4ad | Merge branch 'terrytangyuan-travis' | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,562,016,000 |
095f1988a0adf1733e73c2cca7c436a76612cda1 | Change log directory in text to match code in TensorBoard How To
Change-Id: Idf0135aeecf7b66d57633991d36b1edee22bbf4e | Jeff Hammerbacher | jeff.hammerbacher@gmail.com | 1,449,577,572,000 |
08ce346c57811a786db9ad5d78fe17450a8c6df8 | Added missing CV import in multiple_gpu example | Yuan (Terry) Tang | terrytangyuan@users.noreply.github.com | 1,449,582,670,000 |
bd443b52367cc64358d4247a535439e7d42c6641 | Merge pull request #24 from terrytangyuan/patch-1
Added missing CV import in multiple_gpu example | Illia Polosukhin | ilblackdragon@gmail.com | 1,449,593,455,000 |
ddd4aaf5286de24ba70402ee0ec8b836d3aed8c7 | TensorFlow: upstream changes to git.
Change 109695551
Update FAQ
Change 109694725
Add a gradient for resize_bilinear op.
Change 109694505
Don't mention variables module in docs
variables.Variable should be tf.Variable.
Change 109658848
Adding an option to create a new thread-pool for each session.
Change 109640570
Take the snapshot of stream-executor.
+ Expose an interface for scratch space allocation in the interface.
Change 109638559
Let image_summary accept uint8 input
This allows users to do their own normalization / scaling if the default
(very weird) behavior of image_summary is undesired.
This required a slight tweak to fake_input.cc to make polymorphically typed
fake inputs infer if their type attr is not set but has a default.
Unfortunately, adding a second valid type to image_summary *disables* automatic
implicit conversion from np.float64 to tf.float32, so this change is slightly
backwards incompatible.
Change 109636969
Add serialization operations for SparseTensor.
Change 109636644
Update generated Op docs.
Change 109634899
TensorFlow: add a markdown file for producing release notes for our
releases. Seed with 0.5.0 with a boring but accurate description.
Change 109634502
Let histogram_summary take any realnumbertype
It used to take only floats, not it understands ints.
Change 109634434
TensorFlow: update locations where we mention python 3 support, update
them to current truth.
Change 109632108
Move HSV <> RGB conversions, grayscale conversions, and adjust_* ops back to tensorflow
- make GPU-capable version of RGBToHSV and HSVToRGB, allows only float input/output
- change docs to reflect new size constraints
- change HSV format to be [0,1] for all components
- add automatic dtype conversion for all adjust_* and grayscale conversion ops
- fix up docs
Change 109631077
Improve optimizer exceptions
1. grads_and_vars is now a tuple, so must be wrapped when passed to format.
2. Use '%r' instead of '%s' for dtype formatting
Base CL: 109697989 | Vijay Vasudevan | vrv@google.com | 1,449,597,539,000 |
4c717c6ac35519e6d5eef11b9b5384847e5fdd89 | Merge commits from internal. | Vijay Vasudevan | vrv@google.com | 1,449,599,444,000 |
2c3738db9c4df83adc1aff29f5cb0e9735dd5eac | TensorFlow: Upstream changes to git.
Change 109730179
Add support for selecting partition strategy in tf.nn.embedding_lookup and related ops, and allow unequally-sized shards to be used as input.
Change 109729548
TensorFlow: add RELEASE.md notes for 0.6.0.
Change 109728185
Make seq2seq_test non-flaky by setting python and numpy random seed.
Change 109725913
Refactor slot creation in optimizers and moving averages to separate file
Change 109718024
TensorFlow: reduce runtime of seq2seq_test from ~30s to ~18s.
Change 109712251
More performance improvement for convnet on GPU.
+ Switch forward convolution format to NCHW.
+ Allocate scratch space for forward- and backward- convolutions.
+ Users can use "TF_CUDNN_WORKSPACE_LIMIT_IN_MB" to configure the scratch space
limit. The default limit in 1GB.
Change 109710898
Added extract_sub_graph utility function
Base CL: 109731609 | Vijay Vasudevan | vrv@google.com | 1,449,615,313,000 |
2d1163582aa689cf0780547a0fb60dacca236b62 | TensorFlow: upstream changes from Eigen to make build work
with nvcc in debug mode. | Vijay Vasudevan | vrv@google.com | 1,449,618,087,000 |
20723e2b3d58cc48b2a302f7ea9806c8a75fd18f | TensorFlow: Merge changes from internal | Vijay Vasudevan | vrv@google.com | 1,449,618,164,000 |
5de908567355337fdebd997fb5c60993cbe9ba2e | TensorFlow: Upstream changes to git.
Change 109738410
Don't crash if an attribute contains an invalid shape
Using GetAttr to retrieve a TensorShape caused a process crash if the shape
contained negative entries or was too large. Instead, produce useful error
messages (and Python exceptions).
Fixes https://github.com/tensorflow/tensorflow/issues/449.
Change 109737915
TensorFlow: fix build failures and some warnings when built with clang
on OS X.
Change 109737559
Fix bad paragraphing
Change 109735757
Fix OSX installation instructions.
Change 109733797
Adds buttons to toggle the display of all runs.
Base CL: 109739474 | Vijay Vasudevan | vrv@google.com | 1,449,619,883,000 |
f88fb6f3a81c96aec1ea91d87ea19f2be3256aee | TensorFlow: Merge from internal | Vijay Vasudevan | vrv@google.com | 1,449,619,964,000 |
1261e5439ce49d4c069496c37e052e6f634e5635 | Added example of skflow with pipeline | terrytangyuan | terrytangyuan@gmail.com | 1,449,640,225,000 |
c7b3cba1ba7afde0727c4f2a1b428966b24348d0 | Added copyright info | terrytangyuan | terrytangyuan@gmail.com | 1,449,640,265,000 |
d77efb9955c3755af6bb01e0624347ae26f6085e | Added table of contents for examples | terrytangyuan | terrytangyuan@gmail.com | 1,449,640,942,000 |
143d0035a58b180e2089bd473ab08c4f484d0320 | Minor typo | Yuan (Terry) Tang | terrytangyuan@users.noreply.github.com | 1,449,641,117,000 |
e75bad3947a8d408d194ec4f03236d65e18c268d | TensorFlow: Change TensorFlow version to 0.6.0.
Change-Id: Ic08e4095b6697676ee24dab6b2ec2abd06b0e2cf | Vijay Vasudevan | vrv@google.com | 1,449,685,853,000 |
3951b248d2b63052b6ca24f8e0fdeb0330d28ccf | Fixed PY2AND3 label on op_def_registry.py
Change-Id: I68d35edbe3608b08f06476fdf5d5641c97e9f706 | Martin Wicke | wicke@google.com | 1,449,700,476,000 |
014ff10c4f8c372bbeadab74252565f2d2de38b2 | TensorFlow: fix some last python3 compatibility issues for 0.6.0.
Change-Id: I3cd6c6e3f3c7755343213e4697c97a09f79fb947 | Vijay Vasudevan | vrv@google.com | 1,449,707,979,000 |
8242b4dd1b36440e191fef8a07b6f37d8bcee60d | TensorFlow: some more python3 compatibility test fixes
Change-Id: I5678cbdfb45757e2218494f542c9b0a0d5cc16a4 | Vijay Vasudevan | vrv@google.com | 1,449,709,229,000 |
e118f9d9297d1130caa7a393aa8e3e1b251cd1f0 | Rename example and trailing spaces | terrytangyuan | terrytangyuan@gmail.com | 1,449,709,431,000 |
27259353e50e6bcaeeedbc26dc3aaaa5695fe500 | TensorFlow: Upstream changes from git.
Change 109849574
Avoid some missing return warnings
Change 109837783
Add invalid aggregation to error message.
Change 109835474
Improves docstring of RegisterGradient decorator.
Fixes a typo (input -> output) and uses lowercase name for neg in the provided example.
Change 109834486
Update generated Op docs.
Change 109830497
Fix per_image_whitening to handle edge case by preventing the sqrt() of a negative number which is possible due to numerical floating point issues. Unit test added.
Fixes #411
Change 109824286
Change TensorBoard/TAG to 4
Change 109824197
Update tutorials and documentation usage of print to use print as function not statement.
This way you can copy+paste code in a python3 context and it will still work.
Change 109824020
Fix another case where TensorBoard discards values after a restart.
We also need to not discard on graph_def, since user code or SummaryWriter may add graph_defs at step 0 after every restart.
Change 109821924
Defines Templates for variable sharing.
A Template is a function that generates a sub-graph with the same variables each time it is called.
Two different templates defined with the same underlying function also return different variables.
Change 109815801
Don't instatiate the eigen expressions for additions and subtractions of
boolean since they won't be called. This reduces the size of the binary a bit.
Change 109795730
Allow casts to and from int8
Change 109791914
Python 3 fix: filter has no len
gradients.py calls len on the output of filter. A call to tuple is needed in
between.
Not sure why this wasn't caught when we ran the Python 3 tests. If I break it
for Python 2 several tests break.
Change 109757009
Fix minor grammatical errors in about.html
The missing article needs no justification, I think.
has -> have, because subjects are 'usability and functionality', not 'TensorFlow'.
and also -> and, because 'also' is superfluous in this use.
Change 109756627
TensorFlow: some doc updates to models/ files
Change 109743899
TensorFlow: remove one more clang warning (class / struct inconsistency).
Change 109741933
Document default for max_images in tf.image_summary
It used to say max_images=None which hid the C++ defalut of 3.
Now it says max_images=3.
Fixes https://github.com/tensorflow/tensorflow/issues/441.
It's unfortunate that an edit-distance-5 change produces such a large CL.
Change 109741569
Update generated Op docs.
Change 109739599
Renaming the Python variables in the layer weights of the fully connected
MNIST model so that the variable and the TensorFlow names are different. This
allows the documentation to be more explicit about the distinction between the
weights and biases of different layers. Also, the documentation gets to
describe the whether the TF name or the Python name is being used.
Base CL: 109851372 | Vijay Vasudevan | vrv@google.com | 1,449,711,618,000 |
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