hash stringlengths 40 40 | msg stringlengths 1 131k | author stringlengths 1 33 | email stringlengths 0 57 | date int64 1,447B 1,698B |
|---|---|---|---|---|
0269c3690b402c63100869cbb7f8a8ea190e8c0a | Added export_meta_graph() and import_meta_graph() for
serializing/de-serializing the graph and other Python objects necessary
restarting training, running eval, or running inference into a MetaGraphDef
protocol buffer. MetaGraphDef contains the following:
- MetaInfoDef: For storing version and other meta data associated with the
meta graph.
- GraphDef: The Graph.
- SaverDef: The Saver.
- CollectionDef
* Int64List
* FloatList
* BytesList
* NodeList
* AnyList
These are evolving APIs and subject to change.
Change: 114026857 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,777,600,000 |
3ab95b1f76e3edba269aaed850d797785e309230 | The bug was in creating ZerosLike tensors when the shape is unknown.
Change: 114029555 | Yuan Yu | yuanbyu@google.com | 1,454,784,587,000 |
1115799825078f2037d60bc2dc0283bb40f309f4 | Add weighted moving average Op.
Change: 114039411 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,811,147,000 |
0a00cd3b41fe1c3632a6062e11936e7bc4b3308e | Marks a few stateful ops stateful.
Change: 114039491 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,811,433,000 |
aa976ef6a20865b41ab2521756d2af4d8ebb6d5a | Fix python3 issues
Change: 114043720 | Martin Wicke | wicke@google.com | 1,454,822,806,000 |
23eccfb17635bce1c19b668986dceae1281ccee8 | Adds c++ grad for ExpandDims and Transpose.
Change: 114043957 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,823,505,000 |
dffd6457e49d2ee7e1074ffe227fa858c188ec74 | Fix OSS build reference
Change: 114044938 | Vijay Vasudevan | vrv@google.com | 1,454,825,949,000 |
ee3969482714615757e170d12629f721c5830536 | Merge commit for internal changes | Vijay Vasudevan | vrv@google.com | 1,454,826,123,000 |
d53f06b6a3c77160ad955b718a04260674752298 | https://github.com/tensorflow/tensorflow/issues/999
nn.moments()
- fix to handle axes that can't be automatically broadcast.
- add a keep_dims optional argument to returned means and variances with the same dimensionality as the inputs.
Change: 114056974 | Vincent Vanhoucke | vanhoucke@google.com | 1,454,857,380,000 |
59f1eba5fb94506a205fa2e81145667754739da5 | Merge changes from GitHub, clean up linter errors, fix dependencies test.
Change: 114064632 | Martin Wicke | wicke@google.com | 1,454,877,265,000 |
7bc6f528ec97a1153c5a12f4df6c2edf119d2f8c | Removing empty multiclass test as the case is tested by rnn test | Illia Polosukhin | ilblackdragon@gmail.com | 1,454,884,132,000 |
597a6474649adcac487f0418cb6b985c155a71a2 | Merge commit for internal changes | Martin Wicke | wicke@google.com | 1,454,885,727,000 |
81cb3441df5acb428dbce25f5b287fb35d2076ff | Remove duplicate import | Martin Wicke | martin.wicke@gmail.com | 1,454,913,291,000 |
bcefd8e0f553e384c79a439a2fcfe27624e9d223 | Remove duplicate import | Martin Wicke | martin.wicke@gmail.com | 1,454,913,445,000 |
3cd2b96eb96f392aea2c3684ca843404de59020d | Remove duplicate import | Martin Wicke | martin.wicke@gmail.com | 1,454,913,489,000 |
f0ad2c179ecf8dbf1045b6ccd008d76a80867a67 | Remove duplicate import | Martin Wicke | martin.wicke@gmail.com | 1,454,913,520,000 |
b2852622ab9a555089ed7a7fa65c6064265d670d | Remove duplicate import | Martin Wicke | martin.wicke@gmail.com | 1,454,913,601,000 |
aae44380256166127ece6f5010d4656556f5c60d | Remove duplicate import | Martin Wicke | martin.wicke@gmail.com | 1,454,913,662,000 |
84150887f4234ec75b7819ff2b87b74622843266 | Remove duplicate srcs_version | Martin Wicke | martin.wicke@gmail.com | 1,454,913,711,000 |
effbc046c5fa28ca2a874f7defa7a6bcf4514c9a | Remove duplicate link | Martin Wicke | martin.wicke@gmail.com | 1,454,913,777,000 |
b84e9efe63fe774e65bab27a3f657f54df26c333 | Remove duplicate link | Martin Wicke | martin.wicke@gmail.com | 1,454,913,806,000 |
a581a311d25b0b09cc684cf1875b1588755ffb4c | Remove duplicate link | Martin Wicke | martin.wicke@gmail.com | 1,454,913,859,000 |
79f863dc3a132d84aec800755a823d78118d7af0 | Merge pull request #1014 from tensorflow/cleanup-merge
Fix merge gone wrong | Martin Wicke | martin.wicke@gmail.com | 1,454,914,711,000 |
bddea00b76f1101ea392bd0bfb5254d8c2779395 | Merge pull request #1010 from moutai/patch-1
fix minor filename typo | Martin Wicke | martin.wicke@gmail.com | 1,454,914,757,000 |
30f179fc8a2967bceba7d8d0486bf8ed3d1829dc | Adding option for parallel build and serial tests
In ci_parameterized_build.sh, allow the option of parallel bazel build
followed by serial (--jobs=1) bazel test.
Potentially useful for limiting the build time for GPU builds, where the
tests cannot run in parallel due to contention or GPU memory. | Shanqing Cai | cais@google.com | 1,454,816,170,000 |
44a646483d3157f86f5694209b5ebc727812cfad | Merge pull request #1011 from caisq/serial-tests-1. | Martin Wicke | wicke@google.com | 1,454,914,925,000 |
108524e16776a8a529dad682dede57dbf68ae41e | Update README.md | Mandar | 01.mandar@gmail.com | 1,454,915,034,000 |
2e12c90afcc4b42d9eaccf09a5eca04d0d4625e8 | Merge pull request #1003 from Mandar-Shinde/master. | Martin Wicke | wicke@google.com | 1,454,915,056,000 |
1c54dde58197367c71319aa5a51f95d2a3faec6a | Add workspace root to the list of include path for swig compilation | Damien Martin-Guillerez | dmarting@google.com | 1,454,701,016,000 |
3bf121cdda763970caca3eb0c2f5c4e13c15a67f | Merge pull request #1005 from damienmg/external. | Martin Wicke | wicke@google.com | 1,454,915,241,000 |
e70489af6a40b3fdec3182564054bd9099a08711 | Example code for SummaryIterator using `tf.train.summary_iterator`. | e3 | eerwitt@gmail.com | 1,454,794,208,000 |
0430539223cd9dd8108a13cbd62ceb6bfe1fa894 | Merge pull request #1009 from eerwitt/example-summary-iterator-package. | Martin Wicke | wicke@google.com | 1,454,949,824,000 |
11c7506bbb351cac785e139a7982fad49f3f1022 | Fixed the fixed point code to make sure it compiles when AVX2
instructions are enabled | Benoit Steiner | benoit.steiner.goog@gmail.com | 1,454,605,312,000 |
d18de4cbad8f04f5fe09961fac1f4f6eb8a4ba66 | Merge pull request #991 from benoitsteiner/master. | Martin Wicke | wicke@google.com | 1,454,975,221,000 |
c92af9cd4b9e44642a111394a65230252d62f4bf | Python3 install-test in pip.sh | Shanqing Cai | cais@google.com | 1,454,956,150,000 |
a5739a852bf8efc796b1e497dc5c20c5fc56530f | Merge pull request #1022 from caisq/serial-tests-1. | Martin Wicke | wicke@google.com | 1,454,981,114,000 |
7629ae60bf94fc0d39f40d0b7aeecff2f86a0ca0 | Fix for python3 syntax incompatibility. | Povilas Liubauskas | liubauskas@gmail.com | 1,454,959,088,000 |
9f722ecf06add30f6c0a3d560ad9811ef08435b9 | Merge pull request #1023 from povi/master. | Martin Wicke | wicke@google.com | 1,454,981,204,000 |
d797048c6e78d45b22bff31e96bfaaf36780087a | Remove tf.tensor_util and change tf.unsupported to tf.contrib.util
tf.tensor_util was already not public (not documented), now it is not part of
tf.__all__. The one function that was in tf.unsupported is now
tf.contrib.util.constant_value, and there is also
tf.contrib.util.make_tensor_proto.
Change: 114118183 | Geoffrey Irving | geoffreyi@google.com | 1,454,952,849,000 |
77ac22f5226044f647d6185b77521b55023145eb | Implements c++ grad for StopGradient, Squeeze, Slice and Reverse.
Change: 114120469 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,954,159,000 |
ff4e52b28dac0533d613973fe58a4b5b2888d349 | Fix exception re-raising code. Exception instance e cannot be called to construct a new exception.
Change: 114131158 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,959,544,000 |
3e33d444c6c0861d448755627982284736ed01a0 | Generalize tf.image.random_crop to dimension-independent tf.random_crop
The C++ 3-D-only RandomCrop op is now deprecated at GraphDef version 8, replaced
with a python tf.random_crop that works for any dimension. This will allow
random_crop to be used for other purposes.
Unfortunately, tf.image.random_crop took 2 sizes rather than 3 for 3-D tensors.
The new tf.random_crop always takes n sizes for rank n tensors; pass 3 as the
last element if you want to not crop a last dimension of size 3.
Change: 114135451 | Geoffrey Irving | geoffreyi@google.com | 1,454,961,764,000 |
7eae838548b2cc940b68c89d27e06fff46c78eb2 | Changed the representation for pending and dead counts. Previously,
each of these was a std::vector<int>*, sized to the number of nodes in
the graph. This meant touching two cache lines every time we wanted
to manipulate these values, and also required 8 bytes per node in
total. Instead, we now use a PendingCounts helper class added in this
change that uses just a single byte to represent both these counts in
the common case of fewer than 7 outgoing edges. This helps with cache
efficiency considerably because these values are heavily modified
throughout the graph execution process by different threads running on
different cores, and also because getting this to fit in, say, L1
cache instead of L2 cache, also helps efficiency on just a single
core. As part of this, added a real interface that describes the
various operations we want to do to these counts ("decrement_pending",
"mark_live", "increment_dead_count", etc.), which is more
understandable than having direct manipulation of counter values
scattered throughout the ExecutorState code.
Change: 114137346 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,962,788,000 |
6e86bf5ffc91b84f4df2c943d49942baaa3b21ba | Add tensorboard/lib/nanite, a simple system for storing data and creating Polymer data bindings in a typesafe fashion.
Nanite exposes a single class, Store, which you can think of as a reified Polymer data binding. The store can bind out to a Polymer object (equivalent to [[downwardBinding]]) or bind up from a Polymer object (like {{oneWayAutomaticBinding}}). Unlike Polymer data bindings, there is a typesafe way to call these methods. Also, having the state accessibly stored in these objects will make it easier to serialize and deserialize the application state.
Nanite also exposes some methods for transforming stores into other stores in a functional fashion.
You can think of this as a very small system for FRP that is compatible with Typescript and Polymer.
Nanite is thoroughly tested.
N.B. I already have a version of the event dashboard that was refactored to use Nanite, so this definitely can work for our needs without too much effort :)
Change: 114149110 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,969,963,000 |
f08592c1f8a26a2fad2c0c7ba309d4559c3c9369 | Deleted an out of date comment.
Change: 114149394 | Benoit Steiner | benoit.steiner.goog@gmail.com | 1,454,970,109,000 |
e5add48ffba4b32ef9939414d2b8bb30c2faaffd | Move requestManager out of components/tf-backend and into lib/js/requestManager.
Change: 114154254 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,972,783,000 |
2585e0a75e2802ca8b9877fd06544ecca0b95cd9 | TensorFlow C++ tests: Add a HostConstant to testlib.
Change: 114156939 | Eugene Brevdo | ebrevdo@gmail.com | 1,454,974,229,000 |
5de788e467214c9056225680ae5075ea97be91ba | Typo in doc of unique_with_counts
Change: 114158092 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,974,916,000 |
df66b9fe049cb17e58454f309b662bdaf0d14fdb | Reimplementation of TensorShape to significantly reduce its memory footprint
for the common cases (not very many dimensions, dimension sizes fairly
small).
The old TensorShape implementation was 56 bytes, while this new
implementation is 24 bytes in the common cases (and Tensor objects
have a contained TensorShape object).
The implementation has a 16 byte buffer, plus an int64 num_elements_ field.
It switches between three representations that use the 16 byte buffer
in different ways.
The last two bytes of the 16 bytes are always a tag byte, indicating
which representation is in use, and a number of dimensions byte that
indicates the number of dimensions in the shape. This change also
introduces a new restriction that tensor shapes can be at most 256
distinct dimensions.
The different representations are:
REP16: up to 7 dimensions stored inline, where each dimension value is
less than 32768.
REP32: up to 3 dimensions stored inline, where each dimension value is
less than 2^31 - 1.
REP_OUT_OF_LINE: the fallback case, where the inline bytes are used to
store a pointer to a heap allocated gtl::InlinedVector<int64, 4> that
holds the shape dimensions.
Changed the signature of TensorShape::dim_sizes() to return an actual
gtl::InlinedVector<int64, 4> rather than an ArraySlice<int64> (the old
signature was problematic because it placed unnecessary requirements
on the implementation, namely that it store the dimensions as a
contiguous array of in64 values, which the new representation does not
do for REP16 and REP32).
Preserved the old implementation by renaming it TensorShapeOld and
moving it to the tensor_shape_test.cc unittest, where it used for a
randomized test to ensure that the behavior is the same.
Most of the benefit is that the TensorShape object is smaller. Assignment
is also generally faster, except for the rare REP_OUT_OF_LINE case, which
is a bit slower (benchmark case /4):
Run on machine with (40 X 2801 MHz CPUs); 2016/01/29-11:46:08
CPU: Intel Ivybridge with HyperThreading (20 cores) dL1:32KB dL2:256KB dL3:25MB
Benchmark Time(ns) CPU(ns) Iterations
-----------------------------------------------------------
BM_TensorShape_Assign/0 1 1 580669339
BM_TensorShape_Assign/1 1 1 588612006
BM_TensorShape_Assign/2 1 1 586977731
BM_TensorShape_Assign/3 1 1 564029390
BM_TensorShape_Assign/4 61 62 10000000
BM_TensorShapeOld_Assign/0 4 4 183910667
BM_TensorShapeOld_Assign/1 6 6 100000000
BM_TensorShapeOld_Assign/2 6 6 100000000
BM_TensorShapeOld_Assign/3 8 8 88330961
BM_TensorShapeOld_Assign/4 39 39 17701395
Change: 114162871 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,977,537,000 |
de64e5ae3e71946a5cb74722351097fee3bbf217 | Rollback of camera permission request code (https://github.com/tensorflow/tensorflow/pull/926) that requires API level 23. Building the app for level 21 means the permission is granted automatically on install.
Change: 114164638 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,978,544,000 |
172a805e604ce41f2e829c8792cb968803679f1e | Add google/protobuf:cc_wkt_protos as a dep of the cc_proto_library rule inside tf_proto_library. The python equivalent was already a dep of the py_proto_library.
Change: 114165685 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,979,151,000 |
222feaa6ca3bbaf187232717ea73b08f4024fe52 | Cleaning up pylints - removing some unnecessary ones, being
more careful about re-enabling wildcard-import where appropriate.
Change: 114167131 | David G. Andersen | dga@google.com | 1,454,980,004,000 |
92f29258496bc8acd49d653f8324a6090c178040 | * test for other types of rnn | terrytangyuan | terrytangyuan@gmail.com | 1,454,988,556,000 |
494f0fa77c1a5be7943871e0348b617ae69bf0a6 | + weights and biases in test to boost coverage | terrytangyuan | terrytangyuan@gmail.com | 1,454,988,825,000 |
f0a7b869aedebc31d89b684b74ef537ea76cae94 | + comments for resnet | terrytangyuan | terrytangyuan@gmail.com | 1,454,992,342,000 |
b80fb1a6bc0c6e7d43bd6c53a111b5eaa5e6593e | * table of contents for examples | terrytangyuan | terrytangyuan@gmail.com | 1,454,993,408,000 |
90c86fce991fcd62eb46b9f9311b9604b26b7e08 | - deleted accidentally included files | terrytangyuan | terrytangyuan@gmail.com | 1,454,993,478,000 |
2197c067c79d1464eb957764f8edd120693dcdf6 | Fix setup.py for Eigen headers
Change: 114173506 | Vijay Vasudevan | vrv@google.com | 1,454,985,501,000 |
c977e835bd92ffa4f28ffd48f424a88cdc19db89 | Adding a batch_size to predict method to split into smaller mini-batches if required | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,001,802,000 |
0c57c0391ed2d85c317dc5192d650aa8385fc254 | Adding support to split numpy arrays into batches for prediction | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,002,891,000 |
d0ac8de3fc59db9e0b7cf32667965ed26f4d89b7 | Updating resnet to save logdir, graph and checkpoints and run batches in prediction. | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,003,111,000 |
7cdfb0d3e9bc38da1804eda14c40b118ffd81f89 | Added continue_training=True to the estimator in resnet to make sure it keeps training | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,003,298,000 |
9e35ac30735460136a2e997ef3408fc862f9c81f | added xrange to seq2seq_ops | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,004,034,000 |
a864d2497ef4926138d69a320cc3ac6a02f6e3a4 | Adds GPU CUDA kernel for scatter ops. | Frank Chu | fpmc@google.com | 1,453,937,039,000 |
55e87f198226cc84c9090b001fabbab187a4ef83 | Merge branch 'master' into neural-translation | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,004,287,000 |
9bea801f178dc3a2fc47d796d27a746f0a6e1408 | fix linters | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,004,482,000 |
d6ca2b7eae0b7f42d3e3f58451e4dd34f25d18f3 | Merge branch 'resnet' into neural-translation | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,004,505,000 |
1627cc1fa04f0e41fadaf23f2daebe3b78bbaf72 | Adding neural translation with words and language modeling on characters. | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,006,116,000 |
bb239fa22481e697dfb56c11d44d599e53360ac9 | Using tf.nn.rnn* instead of direct import | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,006,343,000 |
d4b03ac200af381580b2fc115b9df4e0e6a67ffb | Merge pull request #782 from fpmchu/master. | Martin Wicke | wicke@google.com | 1,455,006,424,000 |
e52003b01cd4e7e0bc7a698bcfec331f6d5638f1 | Switch to enumerate in seq2seq ops | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,006,531,000 |
80cb6001ec9e217095846467d4855b370cf4db42 | Add Docs blurb to howtos.
also fixes redundant path elements in links. | Martin Wicke | martin.wicke@gmail.com | 1,455,006,655,000 |
63cd67701e89b53bccac5ffb54d2ee5efe7e66fd | Merge pull request #1027 from tensorflow/docs-blurb. | Martin Wicke | wicke@google.com | 1,455,006,699,000 |
5e879d6f29769b270c1d790a400be4d0fedf3a3f | More explicit directory structure instructions | Martin Wicke | martin.wicke@gmail.com | 1,454,998,647,000 |
156dc452420a307d64ffd3d940ab182b3dbdf223 | Merge pull request #1025 from tensorflow/contrib-instructions. | Martin Wicke | wicke@google.com | 1,455,006,775,000 |
cc304733318f9635d37e72abc1c4d75b15a48d59 | Add the Ops for the producer to MetaGraphDef.
Change: 114175259 | Josh Levenberg | josh11b@tensorflow.org | 1,454,987,730,000 |
3d91f5585a46a8ac4de16b9f90fc0b1f703812e5 | Don't cache kernels in op segment if the op is stateless.
Hardens handling of ref types in identity removal logics.
Change: 114178041 | A. Unique TensorFlower | nobody@tensorflow.org | 1,454,991,763,000 |
3b81ea93e314d0f7011dea4571e3caab89ab7038 | Downgrade Android demo API level to 21 from 23, as no special 23 functionality is needed. This should also prevent camera permissions from needing to be explicitly requested.
Change: 114189921 | A. Unique TensorFlower | nobody@tensorflow.org | 1,455,008,613,000 |
27c7a6bf7799a05c083700c7b7667542b3f1de5d | Fixing some test errors in Python3 PIP install
The following tests fail in PIP test-on-install on Python3 and are fixed by
this CL:
tensor_array_ops_test.py
py_func_test.py
freeze_graph_test.py
After this CL, there will be only one remaining test that fails in the Python3
PIP test-on-install, namely,
saver_test.py
Change: 114212677 | A. Unique TensorFlower | nobody@tensorflow.org | 1,455,028,825,000 |
d8ee3cbf769323a185614d9c427f809d135c9830 | Make InTopK return False if any of the predictions are NaN or non-finite.
Change: 114218051 | A. Unique TensorFlower | nobody@tensorflow.org | 1,455,033,082,000 |
fca72d03dea9192715713a8ee8e9877d45cc4264 | s/max/std::max/
Change: 114218386 | Manjunath Kudlur | keveman@gmail.com | 1,455,033,336,000 |
75937824b9834b04c9a371447da27f322dfd9882 | Merge commit for internal changes | Manjunath Kudlur | keveman@gmail.com | 1,455,033,445,000 |
6ebacbcb18535bb22299ec3b5b3a5df227e12587 | Added small test for bidirectional rnn and forked code from current github version of TF to make it work. Will cleanup when 0.7 is out | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,039,567,000 |
edc98e6269dc448f8e55be9af6018e4ee768b223 | Merge branch 'master' of github.com:google/skflow | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,040,221,000 |
a131b40940717cadd45bc393faa75f6dc58ac53a | Merge branch 'resnet' | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,040,281,000 |
f4b0df86fc5120d260739f12af0b9723dfbbcf68 | Improve the support for device functions when using `tf.import_graph_def()`.
Previously the device function would run before the inputs to an op
had been added. This yielded incorrect results for some device
functions that depend on the inputs to an op. The fix is to split the
creation of the op from applying its device functions (as we do for
shape functions as well).
Change: 114219160 | Derek Murray | mrry@google.com | 1,455,033,869,000 |
1bcebcc665e7e9c280be65899002fd3d5a7456a5 | Fix a typo in tensor_shape.h
Change: 114224625 | Geoffrey Irving | geoffreyi@google.com | 1,455,037,548,000 |
49e337b4f163aa0a570333da7933303096ba3d29 | Make decode_jpeg automatically turn CMYK to RGB
Our core/lib/jpeg now refuses to output 4 channel jpegs. It still accepts them
as input, but unconditionally converts them to grayscale or RGB.
Change: 114239759 | Geoffrey Irving | geoffreyi@google.com | 1,455,045,641,000 |
0c06d8d9aa88b0596b734c8feb6435d2cf359b7e | Merge commit for internal changes | Vijay Vasudevan | vrv@google.com | 1,455,046,042,000 |
b0e7758cd25825b980cdff99faca7f888dab3d41 | Merge branch 'master' into neural-translation | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,051,127,000 |
05454c61ea2290b99bde119640dd91fa56bb57de | Fix error in seq2seq ops after changing to enumerate | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,051,206,000 |
3c13ae058ea45d855d8029b3d19f6567b86430b5 | TensorFlow: change int -> size_t to silence warning
Change: 114243879 | Vijay Vasudevan | vrv@google.com | 1,455,047,764,000 |
27bbe92711a93613eca843772b6e7eb32ff96c35 | Make the gfile package available when importing tensorflow.
Update programs that were importing both 'tensorflow' and 'gfile' to use
'gfile' from the tensorflow import.
Change: 114249943 | A. Unique TensorFlower | nobody@tensorflow.org | 1,455,051,406,000 |
8e34153636071b3f820b788d7f12513bad3da385 | Removing need to import saver_pb2 inside restore function | Illia Polosukhin | ilblackdragon@gmail.com | 1,455,060,648,000 |
45197e07c0dc410bde203462992841b457e0f61c | Add fully dynamic RNN op. Unofficial version (not yet documented).
Current benchmarking results (speed, not memory): calculate forward
and gradients w.r.t. variables
Compiled -c opt --config=cuda
CPU: Intel Ivybridge with HyperThreading (6 cores) dL1:32KB dL2:256KB dL3:12MB
Tesla K40c
Graph Creation: Static Unroll vs. Dynamic Unroll LSTM
max_t dt(static) dt(dynamic) dt(dynamic)/dt(static)
1 0.713889 1.657085 2.321208
25 13.108961 1.784326 0.136115
50 25.887796 2.009615 0.077628
Calculation: Static Unroll with Dynamic Flow LSTM vs. Dynamic Unroll LSTM
batch max_t units gpu dt(static) dt(dynamic) dt(dynamic)/dt(static)
256 50 512 False 2.098613 1.995831 0.951024
256 50 512 True 0.193702 0.218444 1.127730
256 50 256 False 0.630918 0.638142 1.011451
256 50 256 True 0.091755 0.119900 1.306731
256 50 128 False 0.278201 0.280812 1.009385
256 50 128 True 0.065415 0.093180 1.424446
256 100 512 False 4.252444 4.155129 0.977115
256 100 512 True 0.388840 0.459850 1.182622
256 100 256 False 1.247995 1.318395 1.056411
256 100 256 True 0.183765 0.238367 1.297130
256 100 128 False 0.558911 0.577376 1.033039
256 100 128 True 0.132579 0.192326 1.450656
512 50 512 False 3.682583 4.108835 1.115748
512 50 512 True 0.328870 0.378585 1.151168
512 50 256 False 1.129227 1.178769 1.043872
512 50 256 True 0.135209 0.163431 1.208724
512 50 128 False 0.435205 0.444609 1.021608
512 50 128 True 0.079627 0.106961 1.343268
512 100 512 False 7.183316 7.332909 1.020825
512 100 512 True 0.682864 0.722224 1.057641
512 100 256 False 2.033514 2.169560 1.066902
512 100 256 True 0.269665 0.338253 1.254347
512 100 128 False 0.776487 0.985389 1.269036
512 100 128 True 0.157085 0.207062 1.318155
Change: 114253188 | Eugene Brevdo | ebrevdo@gmail.com | 1,455,053,295,000 |
b27423b57a5a83992e3d066559abed4c555838f5 | Make :mnist and :input_data public in examples/tutorials/mnist
Change: 114254926 | A. Unique TensorFlower | nobody@tensorflow.org | 1,455,054,250,000 |
6dbf7f61b7f41e9bbfcd738dd73ade7fa498e8ca | Move private "framework_headers" target out of the public
section of the BUILD file.
Change: 114255368 | Josh Levenberg | josh11b@tensorflow.org | 1,455,054,496,000 |
d0a734f390342589c7b51a776a95e7673687be21 | Added a utility method to annotate the GraphDef with inferred output shapes.
Change: 114255626 | Derek Murray | mrry@google.com | 1,455,054,639,000 |
fb24124f40a7db61b3a7f7c7c23b69d4380242aa | TensorBoard should print descriptive error messages when it fails due to port or logdir issues, rather than just logging them.
Change: 114256009 | A. Unique TensorFlower | nobody@tensorflow.org | 1,455,054,865,000 |
e52cecf69fa0efa782609a6d8f9494c08ae3aa7b | Added the use of google.protobuf.Any in meta_graph.proto to allow packing any
any user protos.
Change: 114256308 | A. Unique TensorFlower | nobody@tensorflow.org | 1,455,055,022,000 |
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