| Commit message (Collapse) | Author | Age |
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self.test_session() has been deprecated in 9962eb5e84b15e309410071b06c2ed2d6148ed44 as its name confuses readers of the test. Moving to cached_session() instead which is more explicit about:
* the fact that the session may be reused.
* the session is not closed even when doing a "with self.test_session()" statement.
PiperOrigin-RevId: 212766976
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PiperOrigin-RevId: 211082479
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PiperOrigin-RevId: 179875758
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parse_single_example.
Change: 151038761
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The bug was that the parsing code generated blocks of output, where each block may contain 0 or more var-len batch entries. I had originally assumed that each block corresponded to a single minibatch entry. The existing unit tests were small enough that this always ended up to be true because for small batch sizes, the thread pool just gave each minibatch entry its own block. But for any reasonable batch size, this assumption broke down and I would accidentally skip copying some minibatch data to the output Tensors.
This has now been fixed.
Change: 150509644
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With this you may parse variable-length feature of the Example into a padded Tensor.
Change: 150009250
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Change: 148942856
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c++ op.
Full python support (including more comprehensive documentation) coming soon.
Change: 146852707
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Change: 143802382
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Change: 143799509
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Change: 142080137
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Change: 141066682
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Change: 140763104
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Allows declaring two Example keys (an index key and a value key) for a single
Feature, the returned value is a SparseTensor with indices given by the index
key.
Change: 140671682
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Also: factor out common code, improve collision detection, add fuzzer test, add some monitoring.
Change: 134127077
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Change: 130143090
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value exists. In this case, if no default is given then the error should
be correct. If a default *is* provided, it should be used.
Also, reformatted the parsing_ops_test.py file (which doesn't lose history,
since it hasn't changed much since my original version).
Change: 129393762
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Change: 123900456
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This was only used in testing, and when used in the wild could lead to confusing behavior (by running all of the nodes in the graph and performing all of their side effects) such as placeholder-not-fed errors or deadlocks.
Change: 120329908
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Change: 114374558
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Change: 114064632
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Change: 114043720
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Change: 112703190
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Change: 112615357
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prepend old API functions with "legacy_".
Change: 111745511
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Change: 111526769
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imported.
Change: 110842260
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Change 110004767
Add Cast to list of supported ConstantValue ops, mainly useful for shape inference
Change 110002200
Bug fix for b/24814668. The fix uses mdevin's CL/109324239, which adds support to clear control dependency and control flow contexts.
Bug fix for b/25914830. We now clear the control related contexts for initial values of variables in adagrad.
Change 110000213
Further (minor) improvements to print usage in docs and tutorials
Change 109975099
Update `tensor_util.ConstantValue()` to return scalars when appropriate.
The `ConstantValue()` implementations for `tf.size()` and `tf.rank()`
were returning single-element numpy vectors, whereas the op
implementations produce scalar outputs.
Change 109950165
TensorBoard tag to 5
Base CL: 110006867
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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
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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
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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
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Changes:
- Updates to docs
- Several changes for Python 3 compatibility
- Added license headers
Base CL: 108710566
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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
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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
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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
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TensorFlow is an open source software library for numerical computation
using data flow graphs.
Base CL: 107276108
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A. Unique TensorFlower
Patrik Sundberg
Derek Murray
Eugene Brevdo
Justine Tunney
A. Unique TensorFlower
Josh Levenberg
Martin Wicke
Geoffrey Irving
Vijay Vasudevan
Manjunath Kudlur