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PR for https://github.com/tensorflow/tensorflow/issues/16348 (tinyest PR ever?)
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PiperOrigin-RevId: 183100142
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PiperOrigin-RevId: 181494416
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* Update release notes including missing internal changes.
* Address @av8ramit's comments and add more note cleanup
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PiperOrigin-RevId: 177008504
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END_PUBLIC
---
Commit d77b99809 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by gunan<gunan@google.com>:
Update docs for `begin_params_axis` (#13979)
This fix fixes the issue raised in 13975 where `begin_shift_axis`
is actually `begin_params_axis`.
This fix fixes 13975.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit e6a242b4e authored by Yifei Feng<fengyifei2026@gmail.com>
Committed by gunan<gunan@google.com>:
Add GCC/Compiler version to issue template. (#14113)
As suggested in #13930
---
Commit 7ece1c0b8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Moving model_pruning library to tf.contrib
PiperOrigin-RevId: 174214419
---
Commit 693325c83 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Log the full traceback in Coordinator.request_stop if it's available
PiperOrigin-RevId: 174213375
---
Commit 6c4a769ab authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Delete duplicate label_image script.
The version in examples/label_image is more complete (with image size and normalization options), so it can be used with `mobilenets`.
Also: removed bazel from main tutorial instructions.
PiperOrigin-RevId: 174212674
---
Commit 7a5b81c29 authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Materialize shape for ShapeN.
PiperOrigin-RevId: 174211500
---
Commit 78041b1dd authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
internal change
PiperOrigin-RevId: 174211190
---
Commit 2118fcf62 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BUILD cleanup in contrib/tensor_forest/...
PiperOrigin-RevId: 174201884
---
Commit 6849ef8f6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
internal change.
PiperOrigin-RevId: 174197506
---
Commit 37370d98f authored by resec<resec0109@gmail.com>
Committed by gunan<gunan@google.com>:
Support more Android arch in Makefile build (#12806)
* Support more Android arch in Makefile build
* update Makefile
* fix MARCH_OPTION
* persist multiple architectures across builds
* persist multiple architectures across builds
* persist multiple architectures across builds
* persistence bug fix
* persistence bug fix
* persistence bug fix
* add -latomic to linker flags for benchmark
* Change ANDROID_OS_ARCH to ANDROID_HOST_OS_ARCH
---
Commit c40d54173 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Exposes recall_at_top_k under tf.metrics.
PiperOrigin-RevId: 174189641
---
Commit 18bf5b2d9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Return a classifier score of the same type as the logits.
PiperOrigin-RevId: 174184871
---
Commit 9da02be11 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make 'collections' a list, as documented and expected by downstream custom getters.
PiperOrigin-RevId: 174184867
---
Commit 16b0bb095 authored by loki der quaeler<quaeler@users.noreply.github.com>
Committed by gunan<gunan@google.com>:
Adding a feed for boolean tensors to TensorFlowInferenceInterface (#14059)
* Sublime Text index-ignore file (a copy of .gitignore)
* Adding the requested implementation to TensorFlowInferenceInterface
* Removing Sublime Text .ignore file from remote repository
* indeed there was
---
Commit fa9d8aab4 authored by Urs K?ster<ursk@users.noreply.github.com>
Committed by gunan<gunan@google.com>:
Add 'log_progress' argument for tf.estimator.Estimator's evaluate function (#13695)
* Add argument for tf.estimator.Estimator's evaluate function
* add log_progress argument to ._convert_eval_steps_to_hooks for TPU estimator
* log only every 10th step if more than 100 iterations in _StopAfterNEvalsHook
* ensure last step is logged and aim for 10 outputs total
---
Commit 07a91dac5 authored by nolan liu<nolan.liou@gmail.com>
Committed by gunan<gunan@google.com>:
make `gather` cpu kernel to be multiple threads. (#12246)
* Change the gather op to multi-thread.
* Modify the gather kernel of xla compiler in order to be compatible with multi-threads cpu kernel.
* Add prefetch logic to gather op kernel.
* Update the indention of gather op kernel code.
* Update the gather kernel code for multiple thread.
* Remove reference to ealier version of code in gather functor.
* Change the framework_lite dep of gather_functor to framework.
* Remove mutex guard in gather functor.
---
Commit a956486be authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove an erronous __attribute__((...)) tag.
There is no __attribute__((guarded)) or __attribute__((pt_guarded)) attribute in Clang, and if we turn on warnings for unknown attributes (which are currently turned off), this causes build failures. This means that, when the warnings are turned off, this is simply a no-op.
PiperOrigin-RevId: 174134252
---
Commit 27412f3b6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add compiler/tf2xla/sharding_util.h with utilities for getting the core device from
a Node.
PiperOrigin-RevId: 174133602
---
Commit ab4349a26 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BUILD cleanup in selected packages in contrib/...
PiperOrigin-RevId: 174115744
---
Commit 4aa90bfd3 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add HLO matchers that check parameter numbers and GTE indices.
This lets you do
EXPECT_THAT(foo, op::Parameter(42));
and
EXPECT_THAT(bar, op::GetTupleElement(baz, 8));
PiperOrigin-RevId: 174113597
---
Commit f97e7c69b authored by Olivia Nordquist<nolivia@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
partially exposing the _set_attr and _get_attr method in python
PiperOrigin-RevId: 174113043
---
Commit 8e732a312 authored by Artem Belevich<tra@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Prefer cubin over PTX when we launch CUDA kernels.
Native GPU code, if we have it, should be preferred over JIT compilation of PTX.
PiperOrigin-RevId: 174110646
---
Commit 2ccf3aba4 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Permanently remove several modules from tf.contrib.bayesflow.
These modules are very infrequently used and will not be developed moving forward.
Removing this code paves the way for remaining modules in tf.contrib.bayesflow
to move to their own repo.
PiperOrigin-RevId: 174110067
---
Commit ef7052fbd authored by Andrew Selle<aselle@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Open source build support for TensorFlow Lite Toco.
- Handle proto incompatibilities
- Mixed bazel compatibility fixes.
- Add link to absl libraries
PiperOrigin-RevId: 174103981
---
Commit d6a9cd40c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix "hides overloaded virtual function" error in default/gpu_tracer.cc when compiled with -Werror,-Woverloaded-virtual.
PiperOrigin-RevId: 174101519
---
Commit b242a7988 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Set metric variable initializers as lambda.
PiperOrigin-RevId: 174100686
---
Commit 57b1c5621 authored by Alan Yee<alyee@ucsd.edu>
Committed by drpngx<drpngx@users.noreply.github.com>:
Add deprecation notes (#12614)
* Update lookup_ops.py
Minor comment fix
* Update metrics_ops.py
Add deprecated notes
* Update tensor_util.py
Update deprecated note on remove_squeezable_dimensions
* Update metric_ops.py
Add deprecated notes
---
Commit 453dd5848 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Support for tf.AUTO_REUSE when re-using registrations. Multi-tower support for FullFB, NaiveDiagonalFB. Removal of LayerCollection.generic_registrations.
PiperOrigin-RevId: 174092003
---
Commit 0a7be5a2f authored by Sanjoy Das<sanjoy@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rename (Add|Get)ProfileResult to something more specific; NFC
PiperOrigin-RevId: 174084570
---
Commit f1916f8f6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
- Remove slice hack to properly initialize missing entries in weight matrices
- Add real support for EmbeddingColumns / input_layer()
- Fix warmstarting for non-PartitionedVariables
PiperOrigin-RevId: 174083777
---
Commit f567ddf87 authored by Alex Sergeev<alexander.sergeev@live.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
Add tf.sysconfig.get_compile_flags() & tf.sysconfig.get_link_flags() for custom operators (#13496)
* Add flags for custom op compilation
* Move ABI logic into version_info.cc
* Add #include <string> to be able to read _GLIBCXX_USE_CXX11_ABI value.
* Make flags to be lists
* Add _flag to cxx11_abi
* Address review comment.
* Move CXX import to the top level.
* Add goldens update
---
Commit 0cddb9bca authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 174074499
---
Commit ba8c38959 authored by Neal Wu<wun@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change wide_deep.md and wide.md to reference the TensorFlow official models version rather than the tf.contrib.learn version
PiperOrigin-RevId: 174074112
---
Commit f3006422c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make `RunTrainOpsHook` public.
PiperOrigin-RevId: 174073925
---
Commit 21dafd6d2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 174073569
---
Commit 66fc99a3b authored by Artem Belevich<tra@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:GPU] Short-circuit compilation of no-op IR -> empty PTX.
There's no point constructing/running LLVM pipeline if we know that we have no
kernels in the IR we've generated for the given HLO op. This is often the case
for ops we can optimize away at the HLO level.
PiperOrigin-RevId: 174072540
---
Commit c911d0f16 authored by Dhananjay Nakrani<dhananjayn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Switch over python calls to RandomPoissonV2.
Part 2 of Support int32/64 in tf.random_poisson().
PiperOrigin-RevId: 174071745
---
Commit b5d5326c6 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:GPU] Fix race condition in gpu_compiler.cc.
We were racing on libdevice_dir_.
PiperOrigin-RevId: 174070334
---
Commit 35939d2d3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Fix string to HLO opcode conversion for atan2, complex, imag and real.
Make sure that we can't forget opcodes by auto-generating the conversion
functions.
Add auto-generated functions to test HLOs for properties (like IsVariadic,
IsComparison, etc.)
This makes changing HLO more robust and easier because there are fewer places
to update when adding or removing an HLO opcode.
Also:
* Fix IsElementwiseBinary for atan2.
* Add a unit test for HLO opcode helpers.
* Express IsElementwiseBinary in terms of IsElementwise() and operand_count()
to avoid having to keep the two in sync manually.
PiperOrigin-RevId: 174069664
---
Commit 3b845c80d authored by Allen Lavoie<allenl@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Disable resnet50_graph_test under TSAN due to timeouts.
PiperOrigin-RevId: 174066937
---
Commit 8a09bbc4a authored by Igor Ganichev<iga@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add TFE_Py_TensorShapeSlice function
TFE_Py_TensorShapeSlice takes a list of EagerTensors and returns a list
of their i'th dimensions. This utility is fairly niche but it is simple
and reduces SPINN training time by over 12%.
PiperOrigin-RevId: 174065044
---
Commit 585432cc2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Refactor ArgMin / ArgMax index ops as XlaHelpers.
PiperOrigin-RevId: 174061370
---
Commit e6faa845c authored by Michael Case<mikecase@chromium.org>
Committed by gunan<gunan@google.com>:
Merge v1.4-rc1 back into master branch. (#13960)
* Update RELEASE NOTES for TensorFlow 1.4
* Update the version strings for TF 1.4-rc0.
* Update version strings in POM files missed by update script.
* Pin TensorBoard 0.4 to TensorFlow 1.4
* Fixing the name of the disabled test. (#13592)
* Revert "Implementing ghost batch norm as defined in https://arxiv.org/pdf/1705.08741."
This reverts commit 125f7afa4a483855dc75791445d2dea64587876a.
* Disable iterator_ops_test on Windows for 1.4 release (#13609)
* Disable failing Windows tests for r1.4 release.
testRemoteIteratorUsingRemoteCallOpDirectSessionGPUCPU test is failing
with "TypeError: only integer scalar arrays can be converted to a scalar
index" on the Windows GPU Release bot. Disabling test.
* Fix typo.
* Also disalbe iterator_ops_test from contrib/.
* Add contributing authors to 1.4 Release notes.
Thanks!
* Fixes to authors.
Removed duplicate and removed googler from contributing author list.
* Fixes and additions to release notes.
Added line about Keras moving into core.
Added line about CUDA/cuDNN versions.
Added line about custom ops.
* Fixing a master regression (#13562)
* Update version strings for 1.4.0rc1
* Remaining cherry-picks for 1.4.0rc1 (#13700)
* Java: Tweak to address some Javadoc errors.
PiperOrigin-RevId: 171987329
* Fix S3 BUILD not including files explicitly.
This causes remote builds to fail since they AWS headers were missing.
PiperOrigin-RevId: 171718021
* Add missing default config setting in aws.BUILD (#13662)
* Remove setting AWS logging for S3 file system.
Was causing issues with tests. Can repro test failures on Macs by running...
bazel test --config=s3 --cache_test_results=no --test_output=streamed
//tensorflow/core/kernels:control_flow_ops_test
Possible reason for error is symbol collision with AWS logging code.
One possible solution would be to split out another shared object for
the S3 filesystem op which does not link in libtensorflow_framework.so.
This is done, for example, by libforestprotos.so in
tensorflow/contrib/tensor_forest/BUILD
PiperOrigin-RevId: 171246381
* Relanding change to add config to enable S3 file system support.
Pass --config=s3 argument to Bazel to build with S3 file system support.
Change was originally rolled back due to a failure it caused in
//tensorflow/core/kernels:control_flow_ops_test on Macs which is now fixed.
PiperOrigin-RevId: 171579378
* Update release notes about Amazon S3 file system support being default.
* Add documentation to sloppy_interleave function
PiperOrigin-RevId: 171303413
* Add `cudnn_rnn_ops` to the Windows build
Fixes #13696.
* Creating a patch for the wrong links that still point to dev. (#13753)
* tfdbg release notes in r1.4
* Fix ambiguous type comparison in s3_crypto.cc (#13758)
tensorflow/contrib/s3/s3_crypto.cc(74): error C2666:
'std::fpos<_Mbstatet>::operator ==': 3 overloads have similar conversions
could be 'bool std::fpos<_Mbstatet>::operator ==(std::streamoff) const'
or 'bool std::fpos<_Mbstatet>::operator ==(const std::fpos<_Mbstatet> &)
We were seeing this compilation error on Windows builds.
* Set estimator run_config default random seed to None. This will make it aligned with other parts of the TF. Many users are not aware of impact of non-random seed. For example it may lead to train only on a small fraction of training data due to preemptions.
We're changing default behavior since we consider it as a bug fix.
PiperOrigin-RevId: 172519268
* Move global_step_read dependency to model_fn instead of input_fn.
PiperOrigin-RevId: 172366972
* [tf.data] Fix broken implementation of `Dataset.from_generator()` on Windows.
Due to a mix-up between NumPy's default array element type for a Python `int` on Windows and Linux, a tf.py_func() in `Dataset.from_generator()` would appear to return the wrong type on Windows (np.int32 instead of np.int64).
All code using `Dataset.from_generator()` on Windows was previously broken. This change fixes both `tf.data.Dataset.from_generator()` and `tf.contrib.data.Dataset.from_generator()`. It also enables test coverage for this method on Windows, which should prevent future breakage.
PiperOrigin-RevId: 172346533
* Update RELEASE notes for change to run_config random seed.
* Disable probable timeout flake on Ubuntu machines.
PiperOrigin-RevId: 172408922
* Disabling failing contrib tests.
* Disable S3 on Windows due to build issues.
* Update serving_input_fn argument name to serving_input_receiver_fn
PiperOrigin-RevId: 172787460
* Update the C++ API guide (#13858)
- Adds the standard warning at the top that people may want the master branch
- Includes a documentation fix for 1.4 (cc_binary -> tf_cc_binary to avoid
undefined symbols).
* Add known Dataset issue to RELEASE.md. (#13870)
Adding info about issue using Unicode strings with Datasets.
* Fixes to merge.
* Fix spelling of tensorflow in install_sources.md
---
Commit 6eac524ef authored by cglewis<clewis@iqt.org>
Committed by cglewis<clewis@iqt.org>:
Use 'LABEL maintainer=' in Dockerfile
* Use 'LABEL maintainer=' in Dockerfile
This fix is a follow up of 13961 to replace `MAINTAINER`
with `LABEL maintainer=` in Dockerfile. The keyword
`MAINTAINER` has long been deprecated and is replaced by `LABEL`,
which is much more flexible and is easily searchable through `docker
inspect`.
This fix replaces remaining `MAINTAINER` with `LABEL`.
Signed-off-by: Charlie Lewis <clewis@iqt.org>
* Additional `MAITAINER` -> `LABEL`
Signed-off-by: Charlie Lewis <clewis@iqt.org>
---
Commit 469970260 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Modify quantization to support add ops that occur after Conv2D
PiperOrigin-RevId: 174058697
---
Commit 938643b56 authored by Amit Patankar<amitpatankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Replace the docker check with an OS check.
PiperOrigin-RevId: 174057778
---
Commit 5f1a66ccb authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add more recovery functionality to MonitoredSession.run_step_fn.
Current implemention wouldn't recover from one of `_PREEMPTION_ERRORS` during a fetch through the raw session that is made available to the step_fn.
The changelist presents a way to map the desired functionality to the hiearchy of _MonitoredSession > (possibly!) _RecoverableSession > _CoordinatedSession > _HookedSession.
PiperOrigin-RevId: 174053865
---
Commit 9a2b0983a authored by Yifei Feng<fengyifei2026@gmail.com>
Committed by gunan<gunan@google.com>:
Add apt-key for ubuntu keyserver (#14114)
---
Commit 479ee24a0 authored by Asim Shankar<asimshankar@gmail.com>
Committed by gunan<gunan@google.com>:
eager: Update broken link in README (#14136)
---
Commit ad7bb2b9e authored by Asim Shankar<asimshankar@gmail.com>
Committed by gunan<gunan@google.com>:
eager: Update broken links in guide.md (#14135)
---
Commit c37ebf0d5 authored by Thomas Deegan<tadeegan@gmail.com>
Committed by gunan<gunan@google.com>:
Resolve //tensorflow relative to tensorflow repo so that tfcompile.bzl can be correctly loaded from another Bazel project (#14103)
---
Commit b2ff3ad96 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added GraphKeys.METRIC_VARIABLE collection. Added all variables under tf.metrics and tf.contrib.metrics into this collection. This will enable replication of model for evaluation. When we replicate a metric in multiple towers (let's say for each qpu we replicate same model/metric), we cannot reduce the output of metrics. On the other hand internal state (local-variables) of those metrics can reducible via sum.
PiperOrigin-RevId: 174051559
---
Commit 98dad195d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds sigmoid to the list of operations that can be recomputed.
PiperOrigin-RevId: 174047825
---
Commit 123749fb1 authored by Yuan (Terry) Tang<terrytangyuan@users.noreply.github.com>
Committed by Martin Wicke<martin.wicke@gmail.com>:
Remove Scikit Flow link and description (#14036)
---
Commit 0d118e4dc authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Implemented tensorflow::port::NominalCPUFrequency()
PiperOrigin-RevId: 174041196
---
Commit 648993e82 authored by Andrew Harp<andrew.harp@gmail.com>
Committed by Andrew Harp<andrew.harp@gmail.com>:
delete extraneous file
---
Commit c2ff8a5ab authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Delete backticks
PiperOrigin-RevId: 174030921
---
Commit 333ba224d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Dependency information for Skylark macros
PiperOrigin-RevId: 174023371
---
Commit 9ee0cecec authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Shrink the model size for unit test.
PiperOrigin-RevId: 174001263
---
Commit c44f67a7e authored by Yifei Feng<fengyifei2026@gmail.com>
Committed by gunan<gunan@google.com>:
Disable clang_format check. (#14115)
Different clang_format version can cause different formats with the same style option. This check might be too strict. Disable for now.
---
Commit a6a618843 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
eager: Documentation and example models.
- Updated README
- A preliminary "User's Guide"
- A few example models, some with benchmarks
PiperOrigin-RevId: 173996303
---
Commit de38e5dff authored by ???<dev@goodow.com>
Committed by GitHub<noreply@github.com>:
fix broken link
---
Commit cd81bc8e0 authored by Rohan Jain<rohanj@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds a PrefetchWithFn op to contrib/data. Alongwith the FunctionBufferingResource, this can be used to prefetch and fill up a buffer by making repeated function calls.
Also fixes a TODO in the ProcessFLR implementation to respect alloc_attrs for Rendezvous calls.
PiperOrigin-RevId: 173990680
---
Commit 17695212c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Don't pass HLO operands in HandleAtan2.
This makes it consistent with the rest of the Visit methods where we only
pass the HLO itself.
PiperOrigin-RevId: 173990595
---
Commit 113be5746 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
A few profiler improvements
1. Track the full allocation history of each tensor, visualized in timeline.
2. Better ProfileContext for tracing step selection.
3. Small bug fix.
PiperOrigin-RevId: 173988293
---
Commit 6d1263cdf authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Remove dead opcode kIndex.
PiperOrigin-RevId: 173987428
---
Commit a4b5356e4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Reduce boilerplate code in HLO visitors.
Only pass the HloInstruction into visitor methods. This makes changing
instructions and visitors easier.
PiperOrigin-RevId: 173983398
---
Commit d9cee35b6 authored by LevineHuang<levinehuang@163.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
Typo fix in file 'fully_connected_feed.py' (#14033)
* Typo fix in file 'fully_connected_feed.py'
* Minor edits to coding style
---
Commit bb7ed1c88 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Multi-tower ConvNet example.
PiperOrigin-RevId: 173982527
---
Commit 2ba529856 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Initial add of docs for Tensorflow on Mobile.
PiperOrigin-RevId: 173980290
---
Commit 187453d61 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change momentum optimizer to allow callable learning_rate and momentum
parameters. This can be useful for implementing learninge rate decay.
PiperOrigin-RevId: 173975321
---
Commit 542b323e5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Register quint16/qint16 for GatherOp.
PiperOrigin-RevId: 173974904
---
Commit 309e34061 authored by Allen Lavoie<allenl@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Avoid uncollectable cycles with a separate deleter object for resources.
PiperOrigin-RevId: 173972515
---
Commit 73fdaf0b5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Summary-writing support for Evaluators.
PiperOrigin-RevId: 173971621
---
Commit 72be26dc8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.data] Iterator Save and Restore for Dataset.from_tensors(..), Dataset.from_tensor_slices(..) and dataset.concatenate(..).
PiperOrigin-RevId: 173971324
---
Commit 09f62ab38 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Speeding up the case for sparse float columns that have only 1 value.
PiperOrigin-RevId: 173971121
---
Commit c315cf1ee authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal-only changes
PiperOrigin-RevId: 173968246
---
Commit 293ba20be authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make learning_rate_decay.piecewise_constant work in Eager mode.
PiperOrigin-RevId: 173967531
---
Commit 0e6abfcda authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Example for multi-tower support for MNIST MLP.
PiperOrigin-RevId: 173967370
---
Commit b46c196e9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
* Add graph rewrite rule that removes repeated application of scalar unary ops that are involutions (their own inverse).
* Update rewrite rule for Transpose to also handle ConjugateTranspose.
PiperOrigin-RevId: 173967184
---
Commit ff5c276ad authored by Stephan Hoyer<shoyer@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Longer README for tf.contrib.labeled_tensor
PiperOrigin-RevId: 173966577
---
Commit 558f146e1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 173966068
---
Commit f9a673cb7 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
In the overloaded HloVerifier::CheckShape, include the failing instruction in
the error message.
PiperOrigin-RevId: 173965368
---
Commit 302ab0ff7 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 173965174
---
Commit 89120eb68 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
scatter_update for resource variables
PiperOrigin-RevId: 173963715
---
Commit 8f7903b4c authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Introduce SQLite SummaryWriterInterface
This change allows tensors to be written from the graph, as they flow, directly
to the database. Many of the important details haven't been implemented yet.
This has been done with the new summary interface that's going to be used with
eager.
PiperOrigin-RevId: 173961448
---
Commit 9aaa49a4e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Avoid using variables as booleans (similarly to tensors).
PiperOrigin-RevId: 173956625
---
Commit a60cd87c4 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
No need for unique variable names in eager.
PiperOrigin-RevId: 173954805
---
Commit f17f389d8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a workaround in the Grappler arithmetic optimizer for the "Add" op not being marked commutative. This will allow Grappler to dedup nodes Add(x,y) and Add(y,x).
PiperOrigin-RevId: 173950586
---
Commit e40eb810a authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TFE: Add errors for classic tf.summary.* ops and FileWriter
PiperOrigin-RevId: 173949980
---
Commit 25620825b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Dataset: Adds eager warnings to make_initializable_iterator and make_one_shot_iterator.
PiperOrigin-RevId: 173949737
---
Commit 1d6dae88e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add check to tf.device when called with a function in eager mode.
PiperOrigin-RevId: 173947845
---
Commit 3639aa7ff authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Always run iterator deleter in eager mode for safety.
PiperOrigin-RevId: 173947019
---
Commit efcbf6e34 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Supported in this CL:
* Attaching sharding descriptors to HLO ops
* Partitioning the HLO graph into per-device computations based on those sharding descriptors.
* All operator support for device placement and ops replicated on all devices.
* Elementwise op support for tiled shardings.
* 2D Convolution support for tiled shardings (no stride or dilation support).
PiperOrigin-RevId: 173946036
---
Commit 682a6ed64 authored by Jon Shlens<shlens@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update the documentation for sample_distorted_bounding_box
PiperOrigin-RevId: 173943029
---
Commit 4f6e6ea4c authored by Sanjoy Das<sanjoy@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix typo in comment; NFC
PiperOrigin-RevId: 173942305
---
Commit 07584221f authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Set visibility to HIDDEN for hidden Python ops in ApiDef.
PiperOrigin-RevId: 173942001
---
Commit 35cc8bb0a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Multiple minibatches support for LayerCollection.register_conv2d()
PiperOrigin-RevId: 173941279
---
Commit 32f3c3a43 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 173933228
---
Commit 8cc7b47a4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 173932574
---
Commit b9337de5b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Multi-tower support for ConvKFCBasicFB
PiperOrigin-RevId: 173932013
---
Commit 1b6b7e208 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add registration for op AddV2, which is identical to Add, except that it does does not implement string concatenation. This allows us to mark AddV2 is_commutative and is_aggregate, which will allow optimizers more freedom.
PiperOrigin-RevId: 173931848
---
Commit 629e6d0c1 authored by Joshua V. Dillon<jvdillon@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Bugfix: Make `tf.contrib.distributions.Independent` tests not flaky.
PiperOrigin-RevId: 173921378
---
Commit 4b63f47d9 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:CPU] Don't crash if someone tries to do dot(X, X) or dot(X, X^T).
PiperOrigin-RevId: 173919310
---
Commit 89582677c authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
EagerVariableStore, for compatibility with functional layers.
PiperOrigin-RevId: 173915730
---
Commit cef680b53 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Enable shape inference on functions in grappler.
PiperOrigin-RevId: 173914941
---
Commit e8ac0b48f authored by Akshay Agrawal<akshayka@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Report a nicer error message when differentiating a function
that returns None in eager
PiperOrigin-RevId: 173914883
---
Commit 85f8d9240 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tensorflow training input] If SparseTensors are used in batch* ops, ensure restoration.
This forces the ST restore op to be called if any tensors are accessed at the output
of the batch, thus fixing a memory leak.
Solution suggested by Derek Murray.
Fixes #13999.
PiperOrigin-RevId: 173904309
---
Commit 7fd261602 authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add TF_GraphVersions() to C API and use in Graph.graph_def_versions()
PiperOrigin-RevId: 173902666
---
Commit 4723f8f6e authored by RJ Ryan<rjryan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Support SymbolicGradient for functions with non-trainable arguments.
The non-trainable arguments end up with None as their incoming out_grad, which is not a valid input to SymbolicGradient (inputs have to be convertible to Tensor, and None isn't).
PiperOrigin-RevId: 173901727
---
Commit 494672475 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added "NOTE: You may only install TensorFlow on 64-bit machines" to all the
TensorFlow Install guides.
PiperOrigin-RevId: 173899394
---
Commit b73743e3a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove accidental disablation of (already manual) tests.
PiperOrigin-RevId: 173898910
---
Commit ce0238198 authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add ability to fetch return nodes and unused input mappings from C API GraphDef import
This change introduces yet another ImportGraphDef function to the C
API (TF_GraphImportGraphDefWithResults), but this one has extensible
return values so we shouldn't have to add more in the future.
This change also modifies the ImportGraphDef C interface to manage all
string data for the user.
PiperOrigin-RevId: 173894710
---
Commit ef4490f63 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BUILD cleanup in contrib/...
PiperOrigin-RevId: 173889798
---
Commit 2e54fd6de authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds eager execution compatibility note in Readers, Queues, and QueueRunner.
Raises a RuntimeError in base classes for QueueBase, ReaderBase, and QueueRunner.
PiperOrigin-RevId: 173888425
---
Commit 32ab30cb0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixes typo in compatibility.
PiperOrigin-RevId: 173887031
---
Commit 325c8e5ef authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Improve C++ SQLite veneer
- Use shared_ptr for Sqlite
- Don't need unique_ptr on SqliteStatement
- Don't need db namespace
- Include SQL in error statuses
PiperOrigin-RevId: 173802267
---
Commit 0eba15fe6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds eager compatability message for PartitionedVariable.
PiperOrigin-RevId: 173772851
---
Commit e7645b629 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] DOT dumper: Handle fusion nodes nested inside other nodes (e.g. map).
PiperOrigin-RevId: 173752314
---
Commit 8ec7540e0 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TFE: Fix pip test for tf.contrib.summary
Fixes test failure in tensorflow/contrib/summary:summary_ops_test, e.g.,
http://ci.tensorflow.org/job/tensorflow-cl-cpu-python3-pip/10933/console
PiperOrigin-RevId: 173749502
---
Commit c16797ec3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds eager execution compatibility note in Estimators.
Raises a RuntimeError in Estimator base class.
PiperOrigin-RevId: 173744765
---
Commit e8a62a30b authored by ???<dev@goodow.com>
Committed by GitHub<noreply@github.com>:
Fix minor typo
---
Commit 36696ad58 authored by ???<dev@goodow.com>
Committed by Larry Tin<dev@goodow.com>:
tf.zeros doesn't accept a tensor argument
ValueError: Shape must be rank 1 but is rank 0 for 'zeros_2' (op: 'Fill') with input shapes: [], [].
---
Commit 9f4b12bb5 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] DOT dumper: Print constant shape when we elide the constant's value.
For example, instead of "operand 1 = %constant.42", we now print
"operand 1 = %constant.42 (f32[100])".
PiperOrigin-RevId: 173741373
---
Commit 45c5118f0 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
When creating an HloModule from an HloProto construct the HloModuleConfig
with a correct ProgramShape which matches the shapes of the entry computation.
Previously the module config had a bogus or default constructed ProgramShape.
PiperOrigin-RevId: 173741104
---
Commit 09a89ae57 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add `tf.contrib.distributions.bijectors.Reshape`.
PiperOrigin-RevId: 173740491
---
Commit 729db035e authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow compatibility notes in class, property and module doc-strings
PiperOrigin-RevId: 173739674
---
Commit ca56fa49a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 173739110
---
Commit 48df7c972 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 173738765
---
Commit fb2c84cb2 authored by Jeremy Lau<lauj@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change
PiperOrigin-RevId: 173738655
---
Commit 245a5c171 authored by Akshay Agrawal<akshayka@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make functional_ops compatible with eager exeuction by ignoring
caching devices when in eager mode
PiperOrigin-RevId: 173737949
---
Commit d1c59bd37 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add tf.quantize op, which is the same as tf.quantize_v2.
PiperOrigin-RevId: 173735986
---
Commit 3ff9c8d2a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix typos in Linear Model Tutorial samples
1. test_file_name is undefined (should be test_file.name)
2. train_file_name is undefined (should be train_file.name)
PiperOrigin-RevId: 173733442
---
Commit abbab2430 authored by Michael Case<mikecase@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add bazel mirror links for newly added workspace dependencies.
PiperOrigin-RevId: 173732606
---
Commit 46a577feb authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[CMake] Generate audio_ops wrappers in the CMake build.
Fixes #14004.
PiperOrigin-RevId: 173732397
---
Commit 7cb7f88c5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add count metric, a helper function that computes the total number or total weight of examples.
PiperOrigin-RevId: 173731046
---
Commit e1d7615eb authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix issue with gradients of functions which return multiple values.
PiperOrigin-RevId: 173730922
---
Commit 80374a7b4 authored by Joshua V. Dillon<jvdillon@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Breaking change: Rename `tf.contrib.distributions.Independent` parameter from
`reduce_batch_ndims` to `reinterpreted_batch_ndims`. Also change default;
`reinterpreted_batch_ndims` default has semantics of `tf.layers.flatten`, i.e.,
all batch dimensions except the first (batch axis 0) are interpretted as being
part of the event.
PiperOrigin-RevId: 173729585
---
Commit 5426a3c93 authored by Allen Lavoie<allenl@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add tfe.get_optimizer_variables for fetching a list of variables which an
optimizer has created. Useful for saving them if executing eagerly.
PiperOrigin-RevId: 173726859
---
Commit 02f55400f authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
custom_gradient functions should be able to return their inputs
PiperOrigin-RevId: 173723462
---
Commit 78bac7290 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TFE: Add compatbility doc string to add_to_collection() and friends
PiperOrigin-RevId: 173716912
---
Commit 9bf00c371 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Shorter import for tfe.
PiperOrigin-RevId: 173716375
---
Commit 0bc432a44 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TFE: Add compatibility errors and doc strings to queues, input pipelines and Supervisor
PiperOrigin-RevId: 173712330
---
Commit e9af1af4f authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Fixing the sources docs in master.
---
Commit b31b08bb0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds randomized tests for newly introduced complex and related ops.
PiperOrigin-RevId: 173709206
---
Commit 466b9ecf8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Report total number of bytes to be transferred when the curl request makes no progress.
PiperOrigin-RevId: 173707608
---
Commit 7c4e98eb4 authored by Igor Ganichev<iga@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add Tensor._rank() getter
It appears to speed up SPINN model by about 1%, which is not much, but
this method is very simple and easier to use than len(tensor._shape_tuple())
PiperOrigin-RevId: 173703259
---
Commit d7cffe9c0 authored by Allen Lavoie<allenl@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds save and restore methods to tfe.Network
Save just saves the variables to a checkpoint. Restore either restores immediately or defers the restoration to variable creation time with a custom getter.
PiperOrigin-RevId: 173703075
---
Commit 9158f974a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use tf.app.run in gcs_smoke, so that the flags are explicitly parsed, instead of parsed when first accessed.
PiperOrigin-RevId: 173702828
---
Commit 3d39b32b9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix a tfprof bug. Throws an error when the flops cannot be calculated.
PiperOrigin-RevId: 173702740
---
Commit 73155f56a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Small code cleanup. Re-alphabetized.
PiperOrigin-RevId: 173702336
---
Commit 32bcf46f1 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
internal
PiperOrigin-RevId: 173697389
---
Commit 97484a4d9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 173690751
---
Commit 873ef2ca3 authored by Oleg Zabluda<ozabluda@gmail.com>
Committed by GitHub<noreply@github.com>:
Fix documentation error in tf.size() - output type
---
Commit 16538dab7 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Saves summaries in the mnist example.
PiperOrigin-RevId: 173690505
---
Commit 6b05b36cd authored by Jiri Simsa<jsimsa@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Generalizing sloppy_interleave, making sloppiness an option.
PiperOrigin-RevId: 173687797
---
Commit 7775a6604 authored by Michael Case<mikecase@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal Change
PiperOrigin-RevId: 173685895
---
Commit 5120e75cf authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Move `@compatibility(eager)` from class docstring to __init__ docstring
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 7d7b2ec58 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Also fixes `@end_compatiblity` -> `@end_compatibility`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 96dc501cd authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Fix incorrect annotation tag in tf.Variable
In tf.Variable the annotation tag of `@compatiblity` should be `@compatibility`
---
Commit c22973867 authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Delete bad links (md links not supported in html blocks).
PiperOrigin-RevId: 173680417
---
Commit 4198e27be authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:CPU] [XLA:GPU] Adds compiler support for C64 primitive type, including relevant elementwise unary and binary op lowering for CPU and GPU.
We use a named LLVM struct "complex64", laid out the same as std::complex<float>. This named struct is accessed via the llvm::Module, which required changes to accessors of PrimitiveTypeToIrType & friends.
Ops that require atan2 (in particular, angle and log) are only supported on GPU at this point. LLVM lacks a CPU intrinsic for atan or atan2, whereas libdevice provides this for GPU.
PiperOrigin-RevId: 173676849
---
Commit 4ae245a7d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
n/a (internal change only)
PiperOrigin-RevId: 173674697
---
Commit 0ccf5cf60 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Limit the amount of logspam a use of GraphKeys.VARIABLES causes.
Multiple copies of this warning next to each other often make logs unreadable.
PiperOrigin-RevId: 173672701
---
Commit a7b872527 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Fix an ouput typo in `ci_sanity.sh`
In the last PR #13924 (clang sanity check) the output message should be changed:
`due to the absence of Python code changes`
->
`due to the absence of .h or .cc code changes`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 58d2c5f50 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Shanqing Cai<cais@google.com>:
Add `SANITY_STEPS_DESC` for do_clang_format_check (#14030)
* Add `SANITY_STEPS_DESC` for do_clang_format_check
This fix is a follow up to PR #13924 to add the corresponding
description in `SANITY_STEPS_DESC`.
See comment #13924#discussion_r147314599
for details.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update description for Clang Format Check
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 62a9ab28c authored by ???<dev@goodow.com>
Committed by GitHub<noreply@github.com>:
fix broken link
---
Commit c6292a3f9 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Sanitize decode_csv_op.cc with `clang-format -i`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 285ea3910 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Add test cases for `double` support of `tf.decode_csv`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 73aaed655 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Update docs for `double` support on `tf.decode_csv`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 3595d1613 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Add `double` support for `tf.decode_csv`
In the current tensorflow `tf.decode_csv` accepts
`float`, `int32`, `int64`, `string` but not `double`.
It seems adding `double` support makes sense as `StringToNumber`
already support `double` type.
This fix adds `double` support for `tf.decode_csv`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 37d483fda authored by Sergii Khomenko<sergii.khomenko@stylight.com>
Committed by Sergii Khomenko<sergii.khomenko@stylight.com>:
Fix a typo
---
Commit 9c8a520b0 authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add WriteEvent method to SummaryWriterInterface
Another change will follow that adds an op for this method. It will be useful
for loading event logs into other types of summary writer implementations, like
a database.
This change might also make the new summary file writer go faster, due to less
memory copying.
PiperOrigin-RevId: 173640116
---
Commit a49455812 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 172654120
PiperOrigin-RevId: 174388998
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END_PUBLIC
---
Commit 9f8523640 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 173145770
---
Commit 01b6b0638 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Cut tracing memory cost
PiperOrigin-RevId: 173144626
---
Commit 5e23e0e67 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Erase cloned instructions on the fly when merging fusion nodes.
This avoids the awkward situation where an RNG which is clearly eligible for fusion becomes ineligible mid-fusion because it suddenly has an extra (dead) user.
PiperOrigin-RevId: 173141716
---
Commit 1038927c0 authored by Saurabh Saxena<srbs@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add SerializeIterator op that serializes an IteratorResource into a variant tensor.
Add DeserializeIterator op that builds IteratorResource from a variant tensor.
Move BundleReaderWrapper and BundleWriterWrapper from dataset.h to iterator_ops.cc.
Add generic key-value store interfaces IteratorStateReader and IteratorStateWriter for reading/writing state of iterators.
Get rid of IteratorBundleReader and IteratorBundleWriter.
PiperOrigin-RevId: 173140858
---
Commit 57f3e529d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change
PiperOrigin-RevId: 173136642
---
Commit 0e56ffb7b authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix breakages in OSS builds
See example breakages logs at:
http://ci.tensorflow.org/job/tensorflow-cl-cpu-python3-pip/10847/console
http://ci.tensorflow.org/job/tensorflow-cl-gpu/11008/console
1. CL/172477381 added the no_oss tag to tests with oss_serial tags, which broke the logic of OSS_SERIAL tests in pip.sh and run_pip_test.sh. This CL fixes that.
2. The nccl_kernels BUILD target in contrib/nccl/BUILD was missing some dependencies. This CL adds the missing ones.
Fixes: #13918
PiperOrigin-RevId: 173133914
---
Commit 3ed049b67 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allows calling keras layers in eager mode.
PiperOrigin-RevId: 173129805
---
Commit 4ec6f2b07 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Switching contrib.summaries API to be context-manager-centric
PiperOrigin-RevId: 173129793
---
Commit 03b02ffc9 authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Put Bazel mirror URLs first
PiperOrigin-RevId: 173127955
---
Commit 46ab25e4d authored by David Majnemer<majnemer@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add support for convolutions with no spatial dimensions
PiperOrigin-RevId: 173126950
---
Commit fc56349b7 authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.data] Convert dataset arguments to tensors as early as possible.
This change raises a `TypeError` earlier if (for example) the `batch_size`
argument to `Dataset.batch()` has the incorrect type.
PiperOrigin-RevId: 173126678
---
Commit 4f7503a87 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Support for registering multiple minibatches with register_fully_connected()
PiperOrigin-RevId: 173121735
---
Commit 2845bfcd6 authored by Tim Harley<tharley@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Avoid listing all modified Enter/RefEnter nodes on INFO, use VLOG(1) instead.
Leave a single, simple, message on INFO.
PiperOrigin-RevId: 173121726
---
Commit 434695921 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: _check_registration() supports multiple towers.
PiperOrigin-RevId: 173115870
---
Commit 670dddf4a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Multi-minibatch support for
tf.contrib.kfac.fisher_blocks.FullyConnectedKFACBasicFB.
PiperOrigin-RevId: 173109677
---
Commit dc13a8e2f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix import of meta graphs with partitioned variables into a scope.
Saver inspects SliceInfo to decide the variable name when creating a
checkpoint. Before this fix even if a partitioned variable ("weights")
was imported into a scope "a" it would still be checkpointed as ("weights")
instead of ("a/weights") since import_scoped_meta_graph was not adjusting
the SliceInfo.
WARNING: if you use import_meta_graph on graphs with partitioned_variables WITH an import_scope argument AND then create a Saver to write/read checkpoints this change
may break your checkpoint loading.
PiperOrigin-RevId: 173105796
---
Commit eea089bdb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Multi-tower support for ConvDiagonalFB.
PiperOrigin-RevId: 173105412
---
Commit 9b9cbbe2a authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add int64 Tperm type support for `Transpose` (#13909)
* Add int64 Tperm type support for `Transpose`
This fix adds int64 Tperm support for `Transpose`. In
`array_ops.cc`, `Transpose` and `ConjugateTranspose`
have been specified as accepting int32 and int64 perm
types. However, only int32 kernels has been registered.
This fix adds the int64 perm support by removing
the constraint on Tperm, resolve the type at runtime,
and copying the data type accordingly to correctly handle
the int64/int32 types.
Additional tests have been added as well.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for int64 of perm in Transpose.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add namespace to hide PermutationHelper
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Enable use_gpu=True for perm type test.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* extra // namespace annotation
* Adding a comment about int32 casting that should be safe.
Permutations only contain values that refer to dimensions, and the maximum number of dimensions we have is 254, so an int32 is always safe here.
---
Commit ac0004e71 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add int64 shape support on GPU for stateless random ops. (#13908)
* Add int64 shape support on GPU for stateless random ops.
This fix adds int64 shape support on GPU for stateless random ops
`StatelessRandomUniform`, `StatelessRandomNormal`, `StatelessTruncatedNormal`.
The int64 shape for stateless random ops is already supported on CPU
with int32/int64 processed properly through `MakeShape`.
However, on GPU a type constraint `.TypeConstraint<int32>("T")`
has been improperly added. Such a type constraint actually prevents
an int64 shape type to run on GPU. (As a comparision, no type constraint
on CPU).
This fix removes the type constraint and allows int64 shape to be run on GPU.
This fix also adds test cases for int64 shape support on stateless random ops.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for int64 shape support for stateless random ops.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int32 to shape types tested.
---
Commit 0d437c3be authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add int64 padding support for MirrorPad (#13907)
* Add int64 padding support for MirrorPad
This fix adds int64 padding support for `MirrorPad`.
In the `array_ops.cc` the `MirrorPad`/`MirrorPadGrad`
has been specified as supporting int64 padding. The related
kernels does not have the int64 padding registered though.
This fix adds the int64 padding support. This fix also adds
additional test cases for coverage.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update template for CPU and GPU support of int64 paddings.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int64 padding support for MirrorPad
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Put eigen header first like before, just in case.
---
Commit 690003cc0 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add `int64` type `multiples` support for `tf.tile` (#13884)
* Add `int64` type `multiples` support for `tf.tile`
In the doc of `tf.tile` (tf.tile.__doc__) both `int32`
and `int64` are supported for `multiples`. However, the kernel
for `int64` is not registered yet.
This fix adds the support of `int64` `multiples` so that the
behavior matches the description of the docs.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update functors for int64 multiples support in `tf.tile`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update test cases for int64 of multiples in `tf.tile`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add GPU and non GPU tests
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* format with clang-format -i
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Move Tmultiples after T (as it is auxilliary)
And use `use_gpu=True`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit fd8d517b9 authored by Yunxing Dai<yunxing@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add tests for convolution 1D
RELNOTES: n/a
PiperOrigin-RevId: 173060283
---
Commit 40c475b48 authored by formath<jinpengliu@163.com>
Committed by Vijay Vasudevan<vrv@google.com>:
add segment_reduction_ops to tf_op_files (#13901)
---
Commit bfa4ec194 authored by Tayo Oguntebi<10927929+tayo@users.noreply.github.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Update node_def.proto comments (#13874)
The device field had outdated comments.
Note: We could consider adding tpu as an example here, e.g. "gpu" | "cpu" | "tpu". Thoughts?
---
Commit c9cb5a58d authored by formath<jinpengliu@163.com>
Committed by Vijay Vasudevan<vrv@google.com>:
protobuf lib path bug fix for benckmark on osx (#13878)
---
Commit 1c1dad105 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add int64 axis support for reduction ops. (#13891)
* Add int64 axis support for reduction ops.
This fix is a follow up to PR 13863. In PR 13863 the
program crash is fixed if int64 axis is passed to reduction ops,
e.g. reduce_sum, reduce_max, etc. However, 13863 does not
process the case of int64 support, it merely fixes the crash.
This fix adds the support for int64 axis of reduction ops.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int64 axis support for mean, prod, sum
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int64 axis support for min and max.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int64 axis support for reduce_all and reduce_any
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for int64 axis support of reduce_any and reduce_all
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 17096081e authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Improve resize_bicubic performance by reorganizing loops (#13840)
* Improve resize_bicubic performance by reorganizing loops
This fix tries to address the issue raised in 13693 where
performance of `resize_bicubic` is not on par with opencv.
This fix rearranges the loops so that it is the same for
num_channel=40 and num_channel=3:
Pre-fix:
```
CHANNEL=40
opencv: 145.08ms
tf: 314.26ms
CHANNEL=3
opencv: 11.95ms
tf: 8.95ms
```
Post-fix:
```
CHANNEL=40
opencv: 144.25ms
tf: 214.55ms
CHANNEL=3
opencv: 11.78ms
tf: 14.07ms
```
This fix fixes 13693.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Keep special handling of `num_channels=3` for `resize_bicubic`
This commit keeps special handling of `num_channels=3` for
`resize_bicubic`:
Without special handling:
```
opencv: 11.78ms
tf: 14.07ms
```
With special handling:
```
opencv: 11.74ms
tf: 9.46ms
```
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Expand Benchmark test for resize_bicubic
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update from review feedback.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit b927df57f authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Update protobuf.cmake to b04e5cba356212e4e8c66c61bbe0c3a20537c5b9 (#13893)
This fix tries to address the issue raised in 8187 where
protobuf.cmake used different version as bazel.
The reason for discrepancy was due to the fact that a customerized
protobuf was needed with Windows patch. Since the patch has been
merged in (https://github.com/google/protobuf/pull/2203),
it makes sense to update protobuf.cmake so that the same version
of cmake is used.
This fix fixes 8187.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit d1183ca6a authored by Vijay Vasudevan<vrv@google.com>
Committed by GitHub<noreply@github.com>:
Give each variable a unique name in accumulate_n_v2_eager_test. (#13886)
---
Commit a69945810 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update pin for bazel-toolchains to latest version
PiperOrigin-RevId: 173002530
---
Commit 9d55c249c authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix doc in TF_CALL_ when invoked in mobile platform (#13881)
* Fix doc in TF_CALL_ when defined(IS_MOBILE_PLATFORM) && !defined(__ANDROID_TYPES_FULL__)
This is a small doc fix that includes bool as part of the types
that is supported in mobile (IS_MOBILE_PLATFORM && !__ANDROID_TYPES_FULL__),
as bool is clearly invoked in the following define.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Also add bool to android full version.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit ba49d8583 authored by Bjarke Hammersholt Roune<broune@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Slight change to reduce_test to avoid generating inf, which was triggering an inf detector unnecessarily.
PiperOrigin-RevId: 172965466
---
Commit 93e8f3c67 authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adding Python ApiDef overrides.
PiperOrigin-RevId: 172960496
---
Commit 0d6a2e353 authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change.
PiperOrigin-RevId: 172960439
---
Commit 62df65c72 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add dtype argument to Mean and Accuracy object-oriented metrics.
PiperOrigin-RevId: 172957714
---
Commit d7409d32b authored by Simone Cirillo<my.accounts@gmx.se>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix import of spatial_softmax from tensorflow.contrib.layers (#13833)
---
Commit df8bce63d authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix crash when `int64` axis is passed to `tf.reduce_sum` (#13863)
* Fix crash when `int64` axis is passed to `tf.reduce_sum`
This fix tries to fix the crash triggered by `int64` axis passed
to `tf.reduce_sum`:
```
ubuntu@ubuntu:~/tensorflow2$ (cd && python)
Python 2.7.12 (default, Nov 19 2016, 06:48:10)
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> v = tf.reduce_sum([1,2,3], tf.constant(0, tf.int64))
2017-10-20 15:55:06.993430: F tensorflow/core/framework/tensor.cc:601] Check failed: dtype() == expected_dtype (9 vs. 3)
ubuntu@ubuntu:~/tensorflow2$
```
The issue is caused by the fact that shape inference in `common_shape_fns.cc`
only assumes int32 without proper handling of diffent types. In `math_ops.cc`
both int32 and int64 are mentioned.
NOTE that this fix does not address the issue that int64 is not supported.
To allow int64 axis it is more than adding a template in `ReductionOp` as the type
of the axis seems to be decided by some other ways in Eigen.
This fix merely fixed the crash so that an error message will return without
exit from the python program "No OpKernel was registered to support Op 'Sum' with these attrs".
Still, I think its worth to at least allow the program to continue in case of unsupported kernel.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update implementation with a template helper function.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 29c7b4658 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adding the Stanford Tensorflow class to community resources.
PiperOrigin-RevId: 172956049
---
Commit f758b24a8 authored by Alexandre Passos<apassos@google.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Variable name for the eager test (#13873)
---
Commit a5fe66b15 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Removed some unnecessary broadcasts in binary ops where only one input needs
broadcasting (which is a fairly common case, even in the fallback path).
PiperOrigin-RevId: 172950493
---
Commit c77090a0a authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix issues where int64 crops could not be passed to batch_to_space. (#13862)
* Fix issues where int64 crops could not be passed to batch_to_space.
This fix tries to address the issue where int64 `crops` could
not be passed to `batch_to_space` even though both int32 and
int64 are specified as supported in the docs (tf.batch_to_space.__doc__)
The reason is that BatchToSpace kernel puts a constraint of int32 to crops
data types.
This fix removed the constraint so that int64 `crops` could be supported.
NOTE: Just removing the constraint should work and it is not necessary
to add specification to the kernel class template, as `SubtleMustCopyFlat`
called in the class already correctly handled both int32 and int64 cases.
Besides, other data types (e.g., float or double) will not be passed to the
kernel as they are guarded by the specification in `array_ops.cc`.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Also remove int64/int32 type constraints for SpaceToBatch kernels
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for int64 crops of batch_to_space and space_to_batch
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Fix test failures.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 494837936 authored by Joshua V. Dillon<jvdillon@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make `tf.contrib.distributions` quadrature family accept a `Tensor` for
`quadrature_grid_and_probs` argument.
PiperOrigin-RevId: 172950094
---
Commit 9c825d32c authored by Jinze Bai<baijinze1994@163.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Merge two GPU kernel launching to one in DiagOp. (#13859)
---
Commit c0ca50a47 authored by Yan Facai (???)<facai.yan@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
ENH: add Relu6GradGrad (#13268)
* ENH: add Relu6GradGrad
* TST: add test case
* CLN: import nn_grad
* TST: add init value
---
Commit 8ff33271e authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Dump the computation's SessionModule as part of the tf_compile rule.
PiperOrigin-RevId: 172946149
---
Commit ebcae4a5e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add streaming_precision_recall_at_equal_thresholds
This helper method computes streaming tp, fp, tn, fp, precision, and recall for the user in a way that exhibits O(T + N) time and space complexity (instead of O(T * N)), where T is the number of thresholds and N is the size of the predictions tensor.
Thanks to Frank Chu for the efficient algorithm!
PiperOrigin-RevId: 172946073
---
Commit ccfd9c1e5 authored by Sanjoy Das<sanjoy@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Log Hlo IR during AOT compilation
PiperOrigin-RevId: 172944165
---
Commit 985031a10 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allows tfe.enable_eager_execution(device_policy=tfe.DEVICE_POLICY_WARN).
PiperOrigin-RevId: 172943398
---
Commit 703182d85 authored by Mingxing Tan<tanmingxing@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add performance guide for fused decode_and_crop_jpeg optimization.
PiperOrigin-RevId: 172943116
---
Commit 66b1f4383 authored by Francois Chollet<fchollet@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make Network compatible with eager mode. Currently it only allows to instantiate a Network in eager mode using the regular Keras API, and call it on eager tensors.
PiperOrigin-RevId: 172942569
---
Commit 41df2cec2 authored by ashankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Testing pending CL: 172939383
---
Commit 37fd95179 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Simplifies capturing code in graph_callable to use recent function improvements.
PiperOrigin-RevId: 172937003
---
Commit d1e7382af authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 172924803
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Also adds a short porting guide to the tf.contrib.data README.
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It has been replaced by tf.contrib.data.Dataset.from_generator.
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This is not exactly a backwards compatible change, in that it modifies the
behavior of DropoutWrapper in its most typical use case; but it is a bugfix:
Dropout and variational dropout should now correctly train with LSTM.
Fixes #11650
PiperOrigin-RevId: 166085514
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END_PUBLIC
---
Commit 575bd01d4 authored by Vijay Vasudevan<vrv@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove /replica:0 declaration in device functions and allow them
to be freely bound based on cluster names present.
When more than one value matches, it will choose the first
lexicographically available device that matches the specification,
which in practice will do pretty much the same thing as hardcoding
/replica:0.
PiperOrigin-RevId: 165766815
---
Commit d685bbc54 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Benchmarks with backprop enabled (and removes overhead).
Before:
np.array([[3]]) took 1.50us (30000 iterations)
Tensor([[3]]) took 16.30us (30000 iterations)
MatMul [2, 2]: np.dot took 0.61us (30000 iterations)
MatMul [2, 2]: tf.matmul took 60.53us (30000 iterations)
MatMul [2, 2]: gen_math_ops.mat_mul took 25.72us (30000 iterations)
MatMul [2, 2]: TFE_Py_Execute took 2.82us (30000 iterations)
MatMul [2, 2]: defun(tf.matmul) took 45.70us (30000 iterations)
MatMul [100, 784]: np.dot took 383.32us (1000 iterations)
MatMul [100, 784]: tf.matmul took 350.35us (1000 iterations)
MatMul [100, 784]: gen_math_ops.mat_mul took 315.97us (1000 iterations)
MatMul [100, 784]: TFE_Py_Execute took 249.42us (1000 iterations)
MatMul [100, 784]: defun(tf.matmul) took 280.95us (1000 iterations)
If backprop is enabled:
np.array([[3]]) took 0.83us (30000 iterations)
Tensor([[3]]) took 15.21us (30000 iterations)
MatMul [2, 2]: np.dot took 0.63us (30000 iterations)
MatMul [2, 2]: tf.matmul took 76.31us (30000 iterations)
MatMul [2, 2]: gen_math_ops.mat_mul took 38.66us (30000 iterations)
MatMul [2, 2]: TFE_Py_Execute took 2.31us (30000 iterations)
MatMul [2, 2]: defun(tf.matmul) took 51.96us (30000 iterations)
MatMul [100, 784]: np.dot took 378.34us (1000 iterations)
MatMul [100, 784]: tf.matmul took 352.09us (1000 iterations)
MatMul [100, 784]: gen_math_ops.mat_mul took 364.28us (1000 iterations)
MatMul [100, 784]: TFE_Py_Execute took 350.68us (1000 iterations)
MatMul [100, 784]: defun(tf.matmul) took 377.19us (1000 iterations)
After:
np.array([[3]]) took 0.86us (30000 iterations)
Tensor([[3]]) took 15.19us (30000 iterations)
MatMul [2, 2]: np.dot took 0.60us (30000 iterations)
MatMul [2, 2]: tf.matmul took 64.51us (30000 iterations)
MatMul [2, 2]: gen_math_ops.mat_mul took 28.34us (30000 iterations)
MatMul [2, 2]: TFE_Py_Execute took 2.38us (30000 iterations)
MatMul [2, 2]: defun(tf.matmul) took 48.50us (30000 iterations)
MatMul [100, 784]: np.dot took 475.27us (1000 iterations)
MatMul [100, 784]: tf.matmul took 399.50us (1000 iterations)
MatMul [100, 784]: gen_math_ops.mat_mul took 307.80us (1000 iterations)
MatMul [100, 784]: TFE_Py_Execute took 272.83us (1000 iterations)
MatMul [100, 784]: defun(tf.matmul) took 350.06us (1000 iterations)
PiperOrigin-RevId: 165765641
---
Commit d902babbd authored by David Majnemer<majnemer@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Algebraic simplifier incorrectly transformed convolutions into bitcasts
PiperOrigin-RevId: 165765575
---
Commit 8e78e10ef authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
disable test temporarily
PiperOrigin-RevId: 165763204
---
Commit a271c37db authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Small improvements to the arithmetic optimizer
PiperOrigin-RevId: 165760972
---
Commit b6409594d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Convert some tests to cover both eager and graph.
PiperOrigin-RevId: 165760364
---
Commit 5ead76420 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Reduce XLA compile time by ~7% for a convolutional image model:
* Added CompactPointerSet<T>, which is optimized for set size <= 1.
* Changed expensive CHECKs to DCHECKS in buffer_assignment.cc
* Reserve space in DFS state array before starting DFS.
* Use unsigned arithmetic in DFS state maintenance.
* HloInstruction:
- Moved frequently used fields to start for better cache locality.
- Use InlinedVector instead of vector for operand array.
- Use InlinedVector instead of vector for DFS stack.
* Pre-compute "is array" and "is tuple" for LogicalBuffer.
* PointsToSet:
- Combine two ShapeTrees into one.
- Use CompactPointerSet instead of std::set to hold sources.
- Use CompactPointerSet instead of std::set to hold flattened buffers.
* ShapeTree: use unique_ptr instead of optional for shape storage
(reduces size and destruction overhead).
* Add proper const qualifiers to some FlatSet iterator methods.
Co-author=jeff
PiperOrigin-RevId: 165759117
---
Commit a0544b0b8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make TPU symbols more easily accessible from contrib.
PiperOrigin-RevId: 165753322
---
Commit cdc08afbb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Slightly relax numeric tolerance for sinlge precision tests of matrix_solve_ls (and tighten it for double precision).
PiperOrigin-RevId: 165750936
---
Commit eebcc861a authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixed the race condition between multi eval step increments.
PiperOrigin-RevId: 165750595
---
Commit bbc0b8471 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 165748384
---
Commit 65f87c967 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change device string in RecvNodeDescriptor in VirtualScheduler from const
reference to const as the RecvNodeDescriptor (and cached_recv_nodes map)
outlives device string from the NodeDef.
PiperOrigin-RevId: 165748244
---
Commit 57b0276cf authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 165747467
---
Commit 64e54423b authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.contrib.data] Fix nested dictionary handling in dataset elements.
Backports recent changes to the core version of the nest.py library.
Fixes #12372.
PiperOrigin-RevId: 165746517
---
Commit 378463ae8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make tf.eye accept Python integer shapes and avoid generating unnecessary shape handling ops.
Clean up test and add tests with placeholders.
PiperOrigin-RevId: 165746090
---
Commit 109ecf823 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add support for complex in matrix_solve_ls_op.
Split into separate files for each data type to speed up build.
PiperOrigin-RevId: 165744539
---
Commit 51441302d authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change.
PiperOrigin-RevId: 165737455
---
Commit d0cb32c2a authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Docstring for ResourceVariable.
PiperOrigin-RevId: 165735441
---
Commit 32f4c5b6e authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add IsFinite op in tf2xla.
PiperOrigin-RevId: 165734702
---
Commit 5f5c3eb0a authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Move "supervisor.md" from programmer's guide to api_guides.
PiperOrigin-RevId: 165732026
---
Commit d001b58de authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.contrib.data] Fix handling of multi-output tf.py_func() in Dataset.map().
If the `map_func` returns a list of tensors, the current code will
attempt to stack it into a single tensor and raise an unintuitive
error. Some multi-output ops (such as `tf.py_func()`) return lists of
typically-not-stackable tensors. This change treats lists returned
from `map_func` as tuples; users who were relying on this
auto-stacking behavior should manually call `tf.stack()` (or
`tf.convert_to_tensor()`) on the list being returned.
Fixes #12396.
PiperOrigin-RevId: 165731970
---
Commit e6c60fb36 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix flakyness, sometimes the op takes ms to run.
PiperOrigin-RevId: 165728705
---
Commit 360bff8ae authored by Ali Yahya<alive@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Makes tape.watch() work with ResourceVariables.
To this end, also adds a property, `device`, to TensorNode.
PiperOrigin-RevId: 165726368
---
Commit 80bd004cd authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Implements SVDF model for keyword spotting tutorial.
PiperOrigin-RevId: 165725938
---
Commit aaabf6b90 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix bug: Using a ComputationDataHandle from the wrong ComputationBuilder.
PiperOrigin-RevId: 165724017
---
Commit 107d165d9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use 2-arg TraceMe constructor to prevent unnecessary StrCat computation when
tracing is disabled.
PiperOrigin-RevId: 165722280
---
Commit 7d01f89cc authored by Pete Warden<petewarden@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Android demo app for speech recognition
PiperOrigin-RevId: 165714459
---
Commit a6729325a authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Deletes convert_n_to_eager_tensor. Moves convert_to_eager_tensor to constant_op.
PiperOrigin-RevId: 165704074
---
Commit 573b303ac authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BUILD cleanup in tensorflow/core/kernels
PiperOrigin-RevId: 165688864
---
Commit 711be6adc authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
`Dataset.from_generator()` constructs a dataset from a Python generator.
With this change, it becomes possible to use a Python generator as the source
dataset for a `tf.contrib.data` input pipeline. This enables easier integration
with non-TensorFlow data sources. The generator can yield a nested structure of
NumPy arrays, or values convertible to NumPy arrays.
This addresses a concern raised in issue #7951.
PiperOrigin-RevId: 165663857
---
Commit 00594ecdd authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
New landing page and leftnav for Programmer's Guide.
PiperOrigin-RevId: 165660897
---
Commit 7359fec79 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Implement Batchnorm Inference by expanding them into smaller ops.
1. Add batch norm inference support in batchnorm_rewriter
2. Connect xla's batchnorm inference to tf's FusedBatchNorm
RELNOTES: n/a
PiperOrigin-RevId: 165655351
---
Commit f0da8bf56 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[Rematerialization] Reconsider to remat operations with control dependencies
We added a conservartive logic to not rematerialize operations with control dependencies since the rematerialized operations could result in undesired ordering. However, we now realize that when we remat an operation, we also copy the dependencies of them, which guarantees the rematerialized operation has the same constraint as the original operation.
PiperOrigin-RevId: 165654629
---
Commit a1225879c authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Propagate error code in computation replay tool.
PiperOrigin-RevId: 165654497
---
Commit 513def0bb authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixed BuildOpInfoWithoutDevice
PiperOrigin-RevId: 165653933
---
Commit d7e425f0b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix linear algebra benchmarks.
PiperOrigin-RevId: 165653891
---
Commit 465c40819 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix the shape information propagation for Enter op.
PiperOrigin-RevId: 165653579
---
Commit c0198fd8d authored by Derek Murray<derek.murray@gmail.com>
Committed by gunan<gunan@google.com>:
[CMake] Add missing dependencies on boosted_trees protos and other fixes (#12315)
* [CMake] Add missing dependencies
* Avoid rebuilding boosted_trees protos for Python.
* Add GPU implementation ZeroInitializerOp to the CMake build.
---
Commit 641943fd7 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 165652758
---
Commit e31346452 authored by Jonathan Hseu<jhseu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TPUEstimator: Fix the outfeed thread join.
PiperOrigin-RevId: 165651781
---
Commit 565a9d350 authored by Vijay Vasudevan<vrv@google.com>
Committed by Andrew Harp<andrewharp@users.noreply.github.com>:
Add missing 'type' keyword to ArgumentParser add_argument (#12275)
Fixes #12210
---
Commit 19a55725a authored by Rohan Jain<rohanj@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allowing functions to run across devices. This change expands the ProcessFunctionLibraryRuntime library to Instantiate and Run functions on different devices. When a FunctionLibraryRuntime encounters a function with a target that is another device, it delegates Instantiate() and Run() calls to the ProcessFunctionLibraryRuntime.
This change also moves the table_ containing all function instantiations to the PFLR instead of the FunctionLibraryRuntime.
PiperOrigin-RevId: 165651194
---
Commit 8c0853db7 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a test for negative and zero pow() input.
PiperOrigin-RevId: 165650096
---
Commit a3c4e980e authored by Pete Warden<petewarden@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixed input shape for freezing audio graphs
PiperOrigin-RevId: 165649546
---
Commit 9b9e5989d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a call_logit_fn utility for logit_fn's, similar to Estimator's _call_model_fn.
PiperOrigin-RevId: 165649388
---
Commit 4ff1f4442 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Remove the script as well if building tf_nightly.
---
Commit 373d78987 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Adding the break.
---
Commit 0139ac983 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Remove tensorboard as a required package if we are building tf_nightly.
---
Commit a92bd5d5c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 165630063
PiperOrigin-RevId: 165957821
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END_PUBLIC
---
Commit 9f81374c3 authored by raymondxyang<zihao.yang@microsoft.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Add option for build more python tests in Cmake (#11853)
* Ignore Windows built project
* Fix deprecated methods in tf.contrib.python
* Fix regex match for Windows build in contrib.keras
* Fix Regex match for Windows build in session_bundle
* * Fix deprecated methods
* Fix regex match for Windows
* Fix compatibility issue with Python 3.x
* Add missing ops into Windows build for test
* Enabled more testcases for Windows build
* Clean code and fix typo
* Add conditional cmake mode for enabling more unit testcase
* Add Cmake mode for major Contrib packages
* Add supplementary info in RAEDME for new cmake option
* * Update tf_tests after testing with TF 1.3
* Clean code and resolve conflicts
* Fix unsafe regex matches and format code
* Update exclude list after testing with latest master branch
* Fix missing module
---
Commit 98f0e1efe authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Dynamic ksize and strides with MaxPool (#11875)
* Dynamic ksize with max_pool
This fix tries to fix the issue raised in 4746 where ksize
is static (attr) with max_pool.
This fix changes ksize to input tensor so that it is dynamic now.
This fix fixes 4746.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add dynamic ksize to MaxPoolGrad and MaxPoolGradGrad
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for max_pool_v2
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Fix GPU Jenkins issue.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Enable MaxPoolV2 in GPU
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Hide MaxPoolV2 and other fixes.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 02d6bc185 authored by Bairen Yi<byronyi@users.noreply.github.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
remove useless variable (#12212)
---
Commit ed6b0d905 authored by namrata-ibm<bhavenamrata@gmail.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Adding support for s390x in calculation of cpu_frequency (#12201)
---
Commit 627dfc9dd authored by Taehoon Lee<taehoonlee@snu.ac.kr>
Committed by Taehoon Lee<taehoonlee@snu.ac.kr>:
Fix typos
---
Commit c0f9b0a91 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
In fast-math mode emit a tanh that has a faster min/max.
PiperOrigin-RevId: 164943597
---
Commit 87605f3d6 authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Use HloEvaluator for ComputeConstant, remove the need of a dedicated
compute constant backend.
PiperOrigin-RevId: 164940970
---
Commit 881de45c2 authored by Taehoon Lee<me@taehoonlee.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Add bool type supports for GPU kernels (#11927)
* Add bool type supports for GPU kernels
* Add bool type test codes for GPU kernels
---
Commit eeacdcdb1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add missing "CPU" suffix in registrations.
PiperOrigin-RevId: 164939527
---
Commit de01be952 authored by namrata-ibm<bhavenamrata@gmail.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Adding support for Big Endian in graph_constructor_test and wav_io (#12179)
---
Commit 26719d29f authored by QingYing Chen<pkudysj@126.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Implement CRF decode (Viterbi decode) for tensor (#12056)
* Implement CRF decoding for tensors
* add test code for tensor version's CRF decoding
* made modifications according to pylint
* add some comments for crf decode
* remove useless code
* add comments at the top comment of crf module and add more comments in crf_test
* capitalize first char of first word in comments
* replace crf_decode test code with a deterministic example
---
Commit f9a81ca2f authored by Pete Warden<pete@petewarden.com>
Committed by gunan<gunan@google.com>:
Create CI build script for Raspberry Pi (#12190)
* Create CI build script for Raspberry Pi
* Moved location of Pi build script
---
Commit e2a163a90 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Merge code from PR #11940 with internal changes from cl/164796436, and update Python tests to also run on GPU.
PiperOrigin-RevId: 164929133
---
Commit 08bbfa187 authored by Taehoon Lee<me@taehoonlee.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Fix typos (#12195)
---
Commit ab96f41fb authored by Luke Iwanski<luke@codeplay.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
[OpenCL] Extends matmul_benchmark.py to cover SYCL (#11697)
* [OpenCL] Extends matmul_benchmark.py to cover SYCL
* Fixed typo
* /gpu:0 -> /device:GPU:0
* Fixes control_flow_ops_py_test
* /gpu: -> /device:GPU:
* Fixes //tensorflow/python/profiler/internal:run_metadata_test
* gpu: -> GPU:
* Fixes tfprof_node
* [OpenCL] Fixes device path to name with many colons (#123)
The device path is constructed from a device name by replacing all
colons with underscores. Some device names contain more than one colon,
for example 'device:SYCL:0' which gives a path 'device_SYCL_0'. The
previous code would not convert this back to the original device name,
but rather to 'device:SYCL_0'.
An alternative fix would be to convert all underscores to colons in the
device name (i.e. remove the restriction inside `replace("_", ":", 1)`),
however I'm not sure if there are any device names which contain
underscores.
* If no gpu device aviable fake one
* gpu: -> device:GPU
* Fixes profiler test
* /gpu:x -> /device:GPU:x
* Fixes debug_io_utils_test.cc test
* Fixes device_name_utils_test.cc
---
Commit 35e7a3665 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Remove unneeded casting of int64 for reverse_sequence (#12192)
This fix remove unneeded cast of int64 for reverse_sequence:
```
lengths = math_ops.to_int64(lengths)
```
as int32 has already been enabled for reverse_sequence.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 9fba8c185 authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add benchmark dashboard link to benchmarks doc. Also, I added a link and
description for Benchmarks page to Community index page.
PiperOrigin-RevId: 164924906
---
Commit bb6f32fa7 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make HloAliasAnalysis updatable after changes to the HLO graph.
As part of this change make HloAliasAnalysis a thinner layer which
basically only holds a map from HloValue to HloBuffer and vice versa.
PiperOrigin-RevId: 164923041
---
Commit 9103096c1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by Thomas K?ppe<tkoeppe@google.com>:
Merged commit includes the following changes:
164923041 by meheff:
Make HloAliasAnalysis updatable after changes to the HLO graph.
As part of this change make HloAliasAnalysis a thinner layer which
basically only holds a map from HloValue to HloBuffer and vice versa.
--
PiperOrigin-RevId: 164923041
---
Commit 822603aed authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Merging sibling fusion instruction using multi_output_fusion
PiperOrigin-RevId: 164920220
---
Commit c035aa2a8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 164917891
---
Commit e1e81d9ba authored by Luke Iwanski<luke@codeplay.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
[OpenCL] Fixes double memcpy bug (#151) (#12173)
* [OpenCL] Fixes double memcpy bug (#151)
As the debg CopyOp is called on a Tensor without type, we need to use
the DataType enum to get type information, and use this to pass the type
on to Eigen. This is a workaround Eigen's need to have a type when
calling memcpy. If the Eigen memcpy can be provided without a type
requirement, then the memcpy in sycl_util is unnecessary.
* Acts on feedback from: #12173/files/32cb12a9001b672425867b5a3110fd98e737a20b#r132496277
---
Commit d9ca2d86d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change
PiperOrigin-RevId: 164916465
---
Commit b8d13d218 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove more parts of DCASGD missed in the first pass. (47949b)
PiperOrigin-RevId: 164914552
---
Commit 73b3d52c7 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
cmake fix
PiperOrigin-RevId: 164911656
---
Commit 2173b5b0a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow TFE_TensorHandleCopyToDevice to have the same device as src and
destination. It will reuse the same underlying buffer in those cases.
PiperOrigin-RevId: 164909906
---
Commit 13eb3b90e authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Experimental C and Python APIs to invoke TensorFlow kernels on concrete values.
PiperOrigin-RevId: 164902588
---
Commit 7dfabcc01 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Initialize ExecutionOptions in ComputeConstant to default values.
PiperOrigin-RevId: 164894867
---
Commit c8897e9bc authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Static required time computation
PiperOrigin-RevId: 164894645
---
Commit 076158f9b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Enable implicit->explicit conversion by default.
PiperOrigin-RevId: 164890915
---
Commit 58c4a4cb1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Bugfix: number of input channels is not necessarily in the last dimension, after introduction of data_format param.
PiperOrigin-RevId: 164889729
---
Commit 8f9b1af8a authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Recover MonitoredSession when the Coordinator is requested to stop with one of the _PREEMPTION_ERRORS.
When SyncReplicasOptimizer is used, a preemption in the Coordinator may result in two cases:
Case 1) the session gets silently marked as complete
Case 2) the session gets stuck
This CL aims to solve and verify solutions for both of these problems. Fix 1 changes the should_stop logic. Fix 2 changes the CoordinatedSession.run() logic.
SyncReplicasOptimizer runs a separate set of threads using a Coordinator instance. Those threads do FIFOQueue.enqueue; the main thread does a blocking FIFOQueue.dequeue.
`sync_token_q` FIFOQueue is on parameter-servers. When one of the PS instances gets preempted, an AbortedError causes the Coordinator to stop via request_stop(ex). That by itself changes the state of MonitoredSession.should_stop() to True (Fix 1).
Results of the blocking Dequeue operation are sent to the chief worker via Recv. What happens next depends on the amount of tokens in `sync_token_q`. If there are enough for the next call to Dequeue to return, then the low-level "tf session run() call" returns. The next iteration of the `while not MonitoredSession.should_stop()` loop decides that the training is complete (Case 1).
If there are not enough tokens in `sync_token_q`, then the blocking Dequeue is going to keep waiting for them. This results in the graph execution getting stuck and the whole session getting garbage collected after 10 minutes (Case 2).
We decided to fix that by re-creating a session after it gets garbage collected (Fix 2). An alternative was to try to cancel the pending Dequeue operation, but it's not clear that it is the right thing to do and it is also not easy.
PiperOrigin-RevId: 164888390
---
Commit 46e4de6e5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Undo loop fusion changes for now as they seem to be altering a few results.
END_PUBLIC
RELNOTES: n/a
BEGIN_PUBLIC
BEGIN_PUBLIC
Automated g4 rollback of changelist 164825735
PiperOrigin-RevId: 165340331
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END_PUBLIC
---
Commit e62de3f78 authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Handle Reverse in HloEvaluator.
Also move HandleCopy to outer visitor instead, since it can be implemented
as a type-agnostic copy instead.
PiperOrigin-RevId: 163866499
---
Commit 96675956e authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
C API: Avoid converting uninitialized tensorflow::Tensor to TF_Tensor*
And return error messages instead of CHECK failing when the conversion
fails.
PiperOrigin-RevId: 163863981
---
Commit 9593704b2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix framework import function dependency.
PiperOrigin-RevId: 163863883
---
Commit 66f148542 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Improve performance of compilation by ~8% by speeding up the
hlo rematerialization pass.
Changes:
. Wrap each HloInstruction* inside an Item structure that keeps
associated data. This allows us to get rid of a bunch of
hash tables indexed by HloInstruction*.
* Switch to an intrusive linked list (instead of std::list) so
that we can avoid a hash table that maps to std::list::iterator.
* Use inlined vector in a few places.
PiperOrigin-RevId: 163848365
---
Commit 6d77a0129 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Hide NonMaxSuppression and NonMaxSuppressionV2 ops and add a python wrapper that sets a backwards compatible default value for iou_threshold.
PiperOrigin-RevId: 163844703
---
Commit 1a4499607 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix: add GDN to __init__. Also put it in alphabetical order.
PiperOrigin-RevId: 163842410
---
Commit db0e1c6c8 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Don't force inlining of functions marked no-inline
PiperOrigin-RevId: 163842238
---
Commit 18718b6f7 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Misc grappler improvements:
* Avoid copying optimized graphs since that takes time.
* Avoid optimizing a pruned graph, since it's already been pruned there isn't much to gain
PiperOrigin-RevId: 163842122
---
Commit 90abbf684 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use OP_REQUIRES instead of an assertion to validate op arguments
PiperOrigin-RevId: 163841759
---
Commit 203c3f5fd authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Infer unknown shapes for functions in C++
As we are implementing function support through C API, the new code path
runs shape inference of Operations representing functions, but we don't
yet support shape inference for functions.
Before this change, adding a function NodeDef would result in error.
This change pairs all functions with a shape inference function that
sets all output shapes to unknown.
PiperOrigin-RevId: 163830793
---
Commit 3cc5fc088 authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Implement MirrorPad op.
Addresses #11890
* Improves the shape inference error message for concatenate.
* Adds a helper to Literal that gets an integral value converted to int64.
PiperOrigin-RevId: 163829437
---
Commit c7b674fa2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
flatten_up_to should return values, not keys
PiperOrigin-RevId: 163809688
---
Commit 6209b4b52 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Minor refactoring the TF_Tensor <-> PyArray conversion functions.
PiperOrigin-RevId: 163802822
---
Commit 618f913bb authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Speed up topological sort by avoiding copies. The speedup is about 10-20%.
PiperOrigin-RevId: 163800134
---
Commit 6446895aa authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove and replace broken giflib download link
PiperOrigin-RevId: 163796393
---
Commit 9d5613088 authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:CPU] Atomically enqueue tuple buffers for outfeed.
Previously it was possible that a distinct thread could hop in between the
buffer enqueues done by a tuple-outfeeding thread. This changes the sequence to
enqueue all the tuple buffers as an atomic unit.
PiperOrigin-RevId: 163781804
---
Commit b882d686f authored by Bjarke Hammersholt Roune<broune@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow cost estimates to differ per backend and include the estimates into the HLO profile. Add a summary table for what categories have the most opportunity for optimization left in them.
PiperOrigin-RevId: 163780413
---
Commit 14b736761 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Pass stats_collector when using SymbolicGradientOp.
PiperOrigin-RevId: 163773897
---
Commit 5202a5b6c authored by RJ Ryan<rjryan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix some typos in StreamExecutor's cuFFT support.
PiperOrigin-RevId: 163771825
---
Commit edac90c7c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add support to generate pprof results to tf.profiler
A fun thing is, it can not only profile time,memory
but also parameters, etc.
PiperOrigin-RevId: 163767517
---
Commit 78a90370e authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Refactor CreateModuleConfig to share code between multiple call-sites.
Previously Service, LocalService and CompileOnlyService had their own code to
create a new HloModuleConfig, with much repetition (and some ommissions);
collect all these uses in a single method.
PiperOrigin-RevId: 163766869
---
Commit 6150611ae authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change.
PiperOrigin-RevId: 163765028
---
Commit 9e7875437 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add the option of including Shape, ShapeN, Size and Rank in the standard TensorFlow constant propagation pass, when the inputs to those Ops have sufficiently known static shape.
PiperOrigin-RevId: 163762750
---
Commit 8b1365bb4 authored by Yuefeng Zhou<yuefengz@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Infer output shape for restore op.
PiperOrigin-RevId: 163762216
---
Commit 2e2a8536d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update WorkerCacheLogger::RecordDataTransfer to not modify the details if provided.
PiperOrigin-RevId: 163761089
---
Commit d03ba54f7 authored by Yangzihao Wang<yangzihao@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use BlasGemv() when autotune is not set.
PiperOrigin-RevId: 163754092
---
Commit 724884f1c authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Show layouts in HLO graph dump.
Layouts are displayed as e.g. "f32[100,200]{0,1}". But constants used
to be displayed as e.g. "f32[]{42}". To avoid ambiguity, constants are
now displayed as e.g. "42 (f32[])".
Also gets rid of the xla_hlo_graph_layout flag, which is no longer
necessary since we're now showing layouts unconditionally.
PiperOrigin-RevId: 163753637
---
Commit 84c2757a6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Move Grappler test GraphDefs to separate files
PiperOrigin-RevId: 163751948
---
Commit 0b3a25d68 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make TF_RESOURCE memory handling consistent with other types.
TF_Tensor's are backed by a contiguous memory region for all
but TF_RESOURCE tensors. The memory management of TF_RESOURCE
tensors required keeping a backing tensorflow::ResourceHandle*
object alive for the lifetime of the TF_Tensor object.
This change removes that discrepancy, making the memory backing
TF_RESOURCE tensors self-contained. This simplifies use of TF_RESOURCE
tensors in the C API (as users of the C API do not need to worry about
a tensorflow::ResourceHandle object and its lifetime). In doing so, this
moves a string memory copy from the TF_Tensor <-> Numpy conversion
to the C API from the Python session helper.
Unfortunately, I couldn't figure out how to add a simple unittest in
c_api_test.cc. The more comprehensive tensorflow/python/kernel_tests/session_ops_test.py
does cover the changed lines though.
Additionally, avoid an unnecessary copy when creating TF_STRING or TF_RESOURCE
tensors (as eigen alignment is not a requirement for them).
PiperOrigin-RevId: 163751880
---
Commit 1333e7745 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow one tensor to be the input to the estimator.
PiperOrigin-RevId: 163747076
---
Commit 104f349e9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update Conv2DShape function to handle filters that have data NCHW_VECT_C layout.
PiperOrigin-RevId: 163746769
---
Commit efb7fb8e5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use XLA_VLOG_LINES() in literal_test_util to avoid truncation of large tensors.
PiperOrigin-RevId: 163745522
---
Commit 043505a09 authored by Suharsh Sivakumar<suharshs@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
MasterSession should throw error if use_per_session_threads or session_inter_op_thread_pool is set.
PiperOrigin-RevId: 163743936
---
Commit 6ba02f0e9 authored by Artem Belevich<tra@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Added HasAllocationAt() helper function.
PiperOrigin-RevId: 163742985
---
Commit 18304683e authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Pin tensorflow to tensorflow-tensorboard 0.1.x
This change will be cherry-picked into the 1.3.0 release.
PiperOrigin-RevId: 163742463
---
Commit 3445dd0ed authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make 'import tensorflow' go faster
It now takes about 400ms rather than 800ms, if the file system cache is warm.
Most of the latency was due to parsing text_format OpList protocol buffers in
our generated sources. We now use a binary representation, while preserving the
text proto as a comment for readability.
Note: This change does not improve the latency of dereferencing tf.contrib,
which takes about 340ms.
PiperOrigin-RevId: 163739355
---
Commit c215c55d5 authored by Neal Wu<wun@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add missing py_binary for mnist_deep.py
PiperOrigin-RevId: 163737503
---
Commit b663c9899 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make non-iterable input to `stratified_sample` produce better error message.
PiperOrigin-RevId: 163735979
---
Commit 122750a87 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[SE] Make ExecutorCache thread-safe, change ExecutorCache::Insert to ExecutorCache::GetOrCreate. Add support for creating Executors for different device ordinals in parallel.
[XLA] Create Executors in parallel.
PiperOrigin-RevId: 163734988
---
Commit 7ebed6678 authored by Frank Chen<frankchn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add __init__.py to the contrib/cluster_resolver directory so that the Cluster Resolver classes within this are visible to open source TensorFlow users.
PiperOrigin-RevId: 163733781
---
Commit 21faf19d0 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Upgrade pip version to 9.0.1; Prettier format of log text
* Upgrade pip version used in virtualenv created by the test-on-install to latest (9.0.1).
* Highlight step titles of pip builds with bold font.
PiperOrigin-RevId: 163732825
---
Commit 5887cc10e authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] In LiteralUtil::StridedConfig: choose the larger dimension between the
source and destination shapes' minor-most dimension index.
PiperOrigin-RevId: 163732014
---
Commit f9c644693 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Disable sanitizers for depthwise conv test to fix test flakiness.
PiperOrigin-RevId: 163727765
---
Commit 6263539a1 authored by Allen Lavoie<allenl@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Grappler memory optimization: allow inputs to gradients with non-standard names to be recomputed
Includes Python tests for name-scoped gradients.
PiperOrigin-RevId: 163720208
---
Commit 4ac195669 authored by Benoit Steiner<benoitsteiner@users.noreply.github.com>
Committed by GitHub<noreply@github.com>:
Branch 163695881 (#11913)
* Prevent ctc_loss op from segfaulting when given empty batch.
PiperOrigin-RevId: 163663460
* New "SavedModel: Practical Uses" and "SavedModel: Architecture" documents.
PiperOrigin-RevId: 163669809
* Minor cleanup
PiperOrigin-RevId: 163685423
* Add regression variance over individual trees to TensorForest inference.
PiperOrigin-RevId: 163695881
---
Commit b876065af authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
graph_to_function_def gets its own file
PiperOrigin-RevId: 163709410
---
Commit 29550762b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixes unit tests for inverse hyperbolic functions that were failing because numeric gradients were computed too close to a branch cut (for complex arguments) or singularity (for real arguments) where the function is not differentiable (See, e.g., http://mathworld.wolfram.com/BranchCut.html). This change moves the test points away from the branch cut/singularity.
Improves precision of double precision numerical gradients by using a smaller step size delta (the optimal for symmetric difference approximation with functions computed with O(epsilon) error is epsilon^(1/3), so for double64 it is ~1e-5).
PiperOrigin-RevId: 163706297
---
Commit 99b190a1f authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Add implementation of depthwise convolution.
This implementation expands the depthwise convolution kernels into a regular convolution kernel, which may not scale to large feature depths.
PiperOrigin-RevId: 163705408
---
Commit f6f07b027 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow kernel unit tests to run on GPU
PiperOrigin-RevId: 163705027
---
Commit 4ec29c5d9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Avoid direct access to Node::def() where some other method works.
PiperOrigin-RevId: 163704839
---
Commit 153be4d26 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Stats tracking (#11523)
* Adds stat tracking to the SYCL allocator
The SYCLAllocator will now find the max allocation size on construction,
and keep track of the allocation stats, as given in AllocationStats.
* [OpenCL] Adds buffer size tracking to SYCL allocator (#114)
The SYCL buffers underlying tensors already keep track of their sizes,
so we can easily provide this tracking information for debugging
purposes.
---
Commit 8d642672f authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Disabling gmm_test.py on Windows builds as it's flaky on GPU nightly builds.
---
Commit 1560c55d2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add regression variance over individual trees to TensorForest inference.
PiperOrigin-RevId: 163695881
---
Commit 15e928d51 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Minor cleanup
PiperOrigin-RevId: 163685423
---
Commit f9c758719 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
New "SavedModel: Practical Uses" and "SavedModel: Architecture" documents.
PiperOrigin-RevId: 163669809
---
Commit f19bb3beb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Prevent ctc_loss op from segfaulting when given empty batch.
PiperOrigin-RevId: 163663460
---
Commit 454fe936c authored by Taehoon Lee<taehoonlee@snu.ac.kr>
Committed by Taehoon Lee<taehoonlee@snu.ac.kr>:
Fix typos
---
Commit e17650b69 authored by Frank Chen<frankchn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
This adds the cluster_resolver module to contrib/__init__.py so that it is actually visible to open source TensorFlow users.
PiperOrigin-RevId: 163636676
---
Commit 926c0f6ee authored by ??<awsomekde@gmail.com>
Committed by GitHub<noreply@github.com>:
fix minor typo
---
Commit 00d3126a3 authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change const nodes to variables in the test, so that they are not optimized
away by the grappler constant folding pass.
PiperOrigin-RevId: 163602405
---
Commit 1c7c9c716 authored by Aditya Dhulipala<aditya.d@hotmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Minor typo correction (#11874)
---
Commit f91a3546e authored by Sergii Khomenko<x-sam@brainscode.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix a minor typo (#11873)
---
Commit adf5d1bc0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 163510186
PiperOrigin-RevId: 163902859
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END_PUBLIC
I dropped the following commit because it doesn't compile.
I will follow up with Andrew to fix it or revert it.
Commit 003deb88b authored by osdamv<osdamv@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Refactor and implementation of the camera API 1, it fixes #8736 (#10771)
List of commits in this CL:
---
Commit 446450369 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use identity of param variable in cudnn_rnn.RNNParamsSaveable instead of parameter
variable directly. The RNNParamsSaveable is usually used in a graph which also
has a saver for the cudnn param variable itself, if the same op is used for
both, fails with a two savers for same op error.
PiperOrigin-RevId: 163431826
---
Commit d629a8316 authored by RJ Ryan<rjryan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Increase bound on tf.contrib.signal.inverse_stft gradient error to avoid flakiness on macOS.
PiperOrigin-RevId: 163426631
---
Commit 253bcbb71 authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Use HloEvaluator for convolution in reference_util.
Also Speed up HloEvaluator's HandleConvolution in non-opt build, by moving calls
to HloInstruction::shape() out of the inner loop.
PiperOrigin-RevId: 163416183
---
Commit 569a00e68 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update API to traffic in unique_ptrs rather than owning raw pointers
PiperOrigin-RevId: 163414320
---
Commit 31a77bc77 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Java: Update release to 1.3.0-rc1
PiperOrigin-RevId: 163413736
---
Commit 1ebbf4325 authored by Jonathan Hseu<vomjom@vomjom.net>
Committed by GitHub<noreply@github.com>:
Add missing grpc dependency (#11828)
---
Commit 905abb1f9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Test asserts should have `expected` first.
PiperOrigin-RevId: 163409348
---
Commit d5cc143e2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Increase timeout to deflake the test.
PiperOrigin-RevId: 163407824
---
Commit ce1c7f02a authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Properly include logging header in xla_internal_test_main
PiperOrigin-RevId: 163405986
---
Commit 22241cd42 authored by joetoth<joetoth@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
External leveldb link changed (#11833)
table_format.txt was renamed to table_format.md
---
Commit 6b7314de4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Consolidating the code to fill the partition's function library
into one place. Previously, Partition() and MasterSession::RegisterPartition()
both fills in the partitioned graph's function library.
PiperOrigin-RevId: 163400992
---
Commit 28373cfe7 authored by Frank Chen<frankchn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds preliminary support for Cloud TPUs with Cluster Resolvers. This aims to allow users to have a better experienec when specifying one or multiple Cloud TPUs for their training jobs by allowing users to use names rather than IP addresses.
PiperOrigin-RevId: 163393443
---
Commit e5353c941 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Don't prune nodes that have reference inputs.
PiperOrigin-RevId: 163390862
---
Commit 226510834 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
C API: Groundwork for experimenting with TF_Tensor in device memory.
TF_Tensor objects are always backed by host memory. This commit lays
the groundwork for allowing TF_Tensor objects to refer to tensor data
on device (e.g., GPU) memory.
PiperOrigin-RevId: 163388079
---
Commit 613bf1c7c authored by Yuefeng Zhou<yuefengz@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
fix asan test failure in SingleMachineTest::ReleaseMemoryAfterDestruction.
PiperOrigin-RevId: 163386941
---
Commit 4653d37a3 authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Change type to appease GPU builds.
PiperOrigin-RevId: 163384927
---
Commit 9f131bd15 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change
PiperOrigin-RevId: 163378484
---
Commit 8bc0236c8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
PiperOrigin-RevId: 163366493
---
Commit 3b97f1f9b authored by Yangzihao Wang<yangzihao@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change to only run one round of matmul benchmark.
PiperOrigin-RevId: 163364341
---
Commit a4a3a3335 authored by Yun Peng<pcloudy@google.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix ./configure on Windows (#11775)
* Fix ./configure on Windows
* Disable bitwise_ops_test on Windows
---
Commit ae3119d16 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Small changes to op framework.
PiperOrigin-RevId: 163361071
---
Commit f40189d26 authored by qjivy<ji.qiu@spreadtrum.com>
Committed by Vijay Vasudevan<vrv@google.com>:
PR again: Enable building label_image with jpeg/gif/png decoder for Android. (#11475)
* Enable building label_image with jpeg/gif/png decoder for Android.
Add dependency "android_tesnorflow_image_op" to label_image, which
is not overlapped with android_tensorflow_kernels.
* Running buildifier to reformat the BUILD files for
sanity check.
---
Commit 599165861 authored by KB Sriram<kbsriram@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add the Constant operator class (#11559)
Create a custom operator class to create constants in the Graph,
and introduce the Operator marker annotation to identify
operator classes.
Please see #7149 for the master tracking issue.
---
Commit 86ca3506f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Further BUILD cleanup
PiperOrigin-RevId: 163360750
---
Commit 376bb063b authored by Pete Warden<petewarden@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Look inside functions to see which node types are used.
PiperOrigin-RevId: 163360375
---
Commit 2139e7d8b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.contrib.data] map expects a nested structure.
Fixes #11786
PiperOrigin-RevId: 163359134
---
Commit d09304fca authored by Jonathan Hseu<vomjom@vomjom.net>
Committed by Vijay Vasudevan<vrv@google.com>:
Upgrade gRPC (#11768)
* BUILD rule modifications
* More build fixes
* Code changes
* More code fixes
* Working tests
* CMake build
* Fix pprof
* Fix header includes
* CMake fix test
* Bazel clean
* Fix verbs
* More verbs fixes
* bazel clean for XLA
* Windows build fix test
* Add openssl/rand.h
* New cmake build command
* --config Release
---
Commit 3cd828474 authored by David Norman<DavidNorman@users.noreply.github.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix error with default python path selection (#11814)
* Fix error with default python path selection
* Move setting of environment var outside if / else
---
Commit ddd8e21b7 authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Consolidate all similar main()s in tests into a single target.
PiperOrigin-RevId: 163354724
---
Commit a36bca25b authored by Tayo Oguntebi<tayo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove ShapeWithoutPadding() utility function, as it is no longer needed.
PiperOrigin-RevId: 163353430
---
Commit b26f9cd44 authored by David Norman<DavidNorman@users.noreply.github.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Ensure that the multi-instruction fuse can take shared inputs (#11748)
* Ensure that the multi-instruction fuse can take shared inputs
Note that the fuse action only works when the shared input / constant
appears after all of its consumers in the list of instructions.
* Add a comment describing the test
---
Commit 34cbf161d authored by Jiri Simsa<jsimsa@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update Dataset API documentation.
PiperOrigin-RevId: 163349457
---
Commit 2381ce5c3 authored by Abdullah Alrasheed<a.rasheed@tc-sa.com>
Committed by Vijay Vasudevan<vrv@google.com>:
DOC: Fix typo. (#11813)
you could could be I/O bottlenecked.
TO:
you could be I/O bottlenecked.
---
Commit e4a5c5356 authored by Toby Boyd<tobyboyd@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
["Variable", "VariableV2", "VarHandleOp"] is the default for ps_ops=None
PiperOrigin-RevId: 163344629
---
Commit 722f6f361 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix TensorForest's saveable object names so loading a savedmodel works.
PiperOrigin-RevId: 163332598
---
Commit cda80a785 authored by Eric Liu<ioeric@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tpu profiler] Dump HLO graphs in profile responses to the log directory.
PiperOrigin-RevId: 163318992
---
Commit cea9ef6f5 authored by horance<horance-liu@users.noreply.github.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Refactoring device name utils (#11797)
* remove duplicated code for full_name and legacy_name for DeviceNameUtils
* replace tabs
* Real->Device
---
Commit 1f7c0f917 authored by Kongsea<kongsea@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Refine docstrings (#11800)
---
Commit dd1f0cddd authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Supports lookup devices by fullname either in the canonical form or the
legacy form. This makes DeviceSet behaves the same as DeviceMgr's
FindDevice method.
PiperOrigin-RevId: 163300346
---
Commit 631a364cd authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add Reduce, DynamicSlice and DynamicSliceUpdate to HloEvaluator.
- Reduce is disabled explicitly for constant folding, as not all types of
embedded computation can be currently supported by the evaluator.
- Added support to evaluate HloModule to HloEvaluator.
- Minor signature change to Evaluate().
PiperOrigin-RevId: 163299238
---
Commit a52470172 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Sets the incarnation number even when the attribute is set.
PiperOrigin-RevId: 163299121
---
Commit a49fe0366 authored by Suharsh Sivakumar<suharshs@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove platform bridge for grpc_response_reader.
PiperOrigin-RevId: 163295986
---
Commit 4404aa7cb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add TODO comment explaining why the IsScalar check exists.
PiperOrigin-RevId: 163292777
---
Commit 43036ac16 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unnecessary break statements.
PiperOrigin-RevId: 163291947
---
Commit fd5de4690 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add regression test for a corner case using Reduce that currently fails with the GPU backend.
PiperOrigin-RevId: 163287986
---
Commit 32e198f2d authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Add tf.cross support.
See #11788
PiperOrigin-RevId: 163287731
---
Commit 88abddbc3 authored by Alan Yee<alyee@ucsd.edu>
Committed by Vijay Vasudevan<vrv@google.com>:
Update README.md (#11793)
Remove bad practices of sudo pip and install use safer pip install commands
---
Commit 9b30dc3a8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove final mentions of `get_shape` in docstring.
PiperOrigin-RevId: 163282839
---
Commit 423c1eea0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BREAKING CHANGE: Fix semantic error in how maybe_batch* handles sparse tensors.
PiperOrigin-RevId: 163276613
---
Commit 6028c071b authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Highlight incoming/outgoing edges on hover in HLO graphviz dumps, and other improvements.
Other improvements:
- Don't show tooltips for nodes and clusters. Previously we'd show a
tooltip containing a pointer value expressed as decimal. Not so
useful.
- Show tooltips on edges with the to/from node names.
- Fix bug wherein if we had
- a node at the "edge" of the graph (so its operands aren't included
unless they're referenced by another node),
- with all of its operands included in the graph save one or more
constants, and
- those constants weren't referenced by any nodes not at the edge of
the graph,
we would incorrectly draw the node as "grayed out", indicating that
one of its operands (namely, its constant operand) wasn't present in
the graph.
This is wrong because constants are inlined into their users, so they
should always count as "displayed" for the purposes of determining
whether a node is grayed out.
PiperOrigin-RevId: 163276108
---
Commit ce7a355bd authored by Joshua V. Dillon<jvdillon@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update contrib/distributions/estimator_test build dependency.
PiperOrigin-RevId: 163272464
---
Commit 1b8458a1c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Shorten docstring line.
PiperOrigin-RevId: 163269709
---
Commit 69e323cc6 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix comment ypo
PiperOrigin-RevId: 163266376
---
Commit 08790e73d authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Fix a bug in cloning outfeeds, carried the wrong shape.
PiperOrigin-RevId: 163265592
---
Commit 1bad826d6 authored by Yangzihao Wang<yangzihao@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rollback of GPU kernel implementation of transpose for tensors with one small dimension.
END_PUBLIC
BEGIN_PUBLIC
BEGIN_PUBLIC
Automated g4 rollback of changelist 162525519
PiperOrigin-RevId: 163490703
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---
Commit fe5338177 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 161727345
---
Commit c65f69119 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Factor out DenseUpdate ops into dense_update_functor build dep.
Also add support for complex types.
PiperOrigin-RevId: 161726749
---
Commit 9a172989e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 161726324
---
Commit fd5530d6e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
adding bazel-toolchains repo to workspace. This repo will be necessary for remote execution (specifically for cross OS compilation)
PiperOrigin-RevId: 161719899
---
Commit 71c4ec8ed authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a mechanism for switching between multiple iterators by feeding a handle.
With this change, you can do the following:
1. Fetch a string handle for any iterator, by evaluating the result of
`Iterator.string_handle()`.
2. Define an `Iterator` object based on a `tf.string` placeholder handle.
3. Feed the placeholder using an evaluated string handle to use a particular
iterator in a particular step.
Concretely, this allows you to define two iterators for a training dataset and
a test dataset, and choose which one to use on a per-run basis:
```python
train_iterator = tf.contrib.data.Dataset(...).make_one_shot_iterator()
train_iterator_handle = sess.run(train_iterator.string_handle())
test_iterator = tf.contrib.data.Dataset(...).make_one_shot_iterator()
test_iterator_handle = sess.run(test_iterator.string_handle())
handle = tf.placeholder(tf.string, shape=[])
iterator = tf.contrib.data.Iterator.from_string_handle(
handle, train_iterator.output_types)
next_element = iterator.get_next()
loss = f(next_element)
train_loss = sess.run(loss, feed_dict={handle: train_iterator_handle})
test_loss = sess.run(loss, feed_dict={handle: test_iterator_handle})
```
PiperOrigin-RevId: 161719836
---
Commit 6d6dda807 authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Fix an issue where plugin/Executor backend is used by default when TF
is built from source with XLA support. See Github issue #11122.
The priority of the executor backend is set to be higher than the default (50)
and CPUs (<100), and is therefore selected as the default when tf.device is not
explicitly specified.
PiperOrigin-RevId: 161717173
---
Commit 6b28eb084 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rename HloLocation to HloPosition, to avoid ambiguity with MemoryLocation.
PiperOrigin-RevId: 161716528
---
Commit 8e7f57371 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Expose tf.contrib.nn.rank_sampled_softmax_loss.
PiperOrigin-RevId: 161716450
---
Commit e424d209a authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Use a more numerically accurate formulation of ResourceApplyRMSProp.
PiperOrigin-RevId: 161706120
---
Commit 45a58d378 authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Introduce Python-only extensions to the C API
Implements an incomplete version of Operation._add_control_input()
using a new extension to make sure the plumbing works.
This also adds header guards to c_api_internal.h, which were missing. For some reason the missing guards caused problems in the cmake build even though there doesn't appear to be any #include cycles.
PiperOrigin-RevId: 161705859
---
Commit 4f5433634 authored by Jonathan Hseu<jhseu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rename TpuEstimator to TPUEstimator and TpuConfig to TPUConfig to follow PEP8
naming conventions.
PiperOrigin-RevId: 161704561
---
Commit 38180d7bb authored by Yun Peng<pcloudy@google.com>
Committed by gunan<gunan@google.com>:
Disable nn_test on Windows (#11445)
---
Commit e1de7a1b0 authored by Yun Peng<pcloudy@google.com>
Committed by gunan<gunan@google.com>:
Windows Bazel Build: Build TensorFlow with wrapper-less CROSSTOOL (#11454)
---
Commit c9d03a568 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add tf.contrib.nn.rank_sampled_softmax_loss, a variant of tf.nn.sampled_softmax_loss that has been shown to improve rank loss. Paper: https://arxiv.org/abs/1707.03073
PiperOrigin-RevId: 161702455
---
Commit 9aa0dcbf2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add shape check for MakeQuantileSummariesOp.
PiperOrigin-RevId: 161698801
---
Commit 9c4da4a24 authored by vhasanov<KyotoSunshine@users.noreply.github.com>
Committed by Frank Chen<frankchn@gmail.com>:
Deleted unnecessary repetition of the same text. (#11459)
The same text was repeated two times. I deleted the repetition.
---
Commit d1e3cadda authored by DimanNe<dimanne@gmail.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
Fix linking options issued by bazel in oorder to make gradients register (#11449)
---
Commit 8605f7ab8 authored by Taehoon Lee<me@taehoonlee.com>
Committed by Frank Chen<frankchn@gmail.com>:
Fix typos (#11444)
---
Commit 7c1fe9068 authored by Karl Lessard<karllessard@users.noreply.github.com>
Committed by Frank Chen<frankchn@gmail.com>:
[Java] Add base classes and utilities for operation wrappers. (#11188)
* Add base classes and utilities for operation wrappers.
* Rename Input interface to Operand
* Introduce changes after code review
---
Commit 2195db6d8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unused flag: xla_hlo_graph_for_compute_constant
PiperOrigin-RevId: 161686867
---
Commit a72fc31bc authored by Martin Wicke<martin.wicke@gmail.com>
Committed by Martin Wicke<martin.wicke@gmail.com>:
Remove tabs. Unassign contrib/framework.
---
Commit 6e74bd65a authored by Martin Wicke<martin.wicke@gmail.com>
Committed by Martin Wicke<martin.wicke@gmail.com>:
Add CODEOWNERS
Added what we know about contrib mainly, and some well-separated components.
---
Commit de546d066 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BUILD cleanup in tensorflow/compiler/...
PiperOrigin-RevId: 161679855
---
Commit 576c7b1ec authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 161218103
PiperOrigin-RevId: 161868747
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END_PUBLIC
---
Commit d0f53f77f authored by Penghao Cen<scorpiocph@gmail.com>
Committed by Shanqing Cai<cais@google.com>:
Minor fix typo (#11323)
---
Commit 02fcf564e authored by Chris Song<sjhshy@gmail.com>
Committed by Chris Song<sjhshy@gmail.com>:
Fix misspells.
---
Commit 764c9b6b4 authored by Louis Tiao<ltiao@users.noreply.github.com>
Committed by GitHub<noreply@github.com>:
Fixed typo in docstring
---
Commit f8cd1283e authored by Shanqing Cai<cais@google.com>
Committed by Shanqing Cai<cais@google.com>:
Chaser
---
Commit 01383b946 authored by Shanqing Cai<cais@google.com>
Committed by Shanqing Cai<cais@google.com>:
Adapt TensorFlowTestCase.setUp() to new reset_default_graph() semantics
Avoid calling reset_default_graph() directly to prevent exceptions in
cases where test methods error out from within nested graph contexts,
which can leave _default_graph_stack non-empty in certain Python
versions.
---
Commit 0ffc37890 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Removing second declaration of functions.
---
Commit f9c9cacb0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Refactor ElementalIrEmitter's slice index finding code into
IrArray::Index::SourceIndexOfSlice().
PiperOrigin-RevId: 161140653
---
Commit ba297aec9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 161138258
---
Commit 68d666737 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixes a reentrant lock issue with tensors using ndarray memory which uses tensor memory.
PiperOrigin-RevId: 161137788
---
Commit a2ee8bca3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add support for int8 x int8 -> int32 matrix multiplication via cublasGemmEx to stream_executor.
PiperOrigin-RevId: 161137741
---
Commit 755fa7b50 authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Block generate_test, and docs generating from running in python3.
- Doc generation is currently unsupported in python3
- These both end in errors in python 3.5.1+
PiperOrigin-RevId: 161137467
---
Commit 97cbcac45 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Fix failure in functionalize_control_flow rewrite for Enter nodes that are unused. Make sure we ignore such nodes without producing an error.
PiperOrigin-RevId: 161136545
---
Commit dabcb60bc authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add reasonable error messages to Builder::Build for bad parameter numbers.
PiperOrigin-RevId: 161136262
---
Commit 0cbd249e8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add complex tensors support to `matrix_determinant`.
PiperOrigin-RevId: 161132422
---
Commit 335f1f14d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Extend static shape inference for SparseTensors with dense_shapes constructed using slicing.
PiperOrigin-RevId: 161132391
---
Commit 53604916e authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixed the missing labels test in TPUEstimator.
PiperOrigin-RevId: 161131282
---
Commit 9f57dc8dd authored by Bruno Rosa<bruno.rosa@eldorado.org.br>
Committed by Bruno Rosa<bruno.rosa@eldorado.org.br>:
Use mcpu instead of march for ppc64le
march is not support by gcc on ppc64le
---
Commit 7d5c74a9c authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Move duplicate detection logic from Graph to FunctionLibraryDefinition
Turns out this is more useful, since there are many function libraries
that don't belong to a graph. This will be used in a future
change. Note that this maintains the current behavior of Graph.
In addition, updates FunctionDefsEqual() to handle unset attr entries
(I ran into this when using this in said future change).
PiperOrigin-RevId: 161126628
---
Commit 2caec3af1 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Disable more timeseries py tests failing in OSS PIP GPU builds
PiperOrigin-RevId: 161124799
---
Commit 0b5cce367 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Get TopK op working on GPU again. Extend using cub's radix sort.
1. Undo rollback of Andreas Kirsch's initial implementation.
2. Use cub segmented radix sort if Andreas' heap-based impl
for large k and small num_cols (thresholds of k=100, n=1000
determined empirically).
3. Use cub segmented radix sort if k == num_cols (this case is always faster).
4. Added benchmarks.
Benchmarks show that the GPU implementation is up to 3x slower for small k but
can be 10x faster for large num_cols and k.
Benchmarks:
Benchmark: m_128_n_10_k_5_use_gpu_False wall_time: 0.000166 s Throughput: 0.0077 GB/s
Benchmark: m_128_n_10_k_5_use_gpu_True wall_time: 0.000796 s Throughput: 0.00161 GB/s
Benchmark: m_128_n_10_k_9_use_gpu_False wall_time: 0.00017 s Throughput: 0.00751 GB/s
Benchmark: m_128_n_10_k_9_use_gpu_True wall_time: 0.000796 s Throughput: 0.00161 GB/s
Benchmark: m_128_n_10_k_10_use_gpu_False wall_time: 0.00017 s Throughput: 0.00753 GB/s
Benchmark: m_128_n_10_k_10_use_gpu_True wall_time: 0.000775 s Throughput: 0.00165 GB/s
Benchmark: m_128_n_100_k_1_use_gpu_False wall_time: 0.000155 s Throughput: 0.0826 GB/s
Benchmark: m_128_n_100_k_1_use_gpu_True wall_time: 0.000796 s Throughput: 0.0161 GB/s
Benchmark: m_128_n_100_k_50_use_gpu_False wall_time: 0.000247 s Throughput: 0.0519 GB/s
Benchmark: m_128_n_100_k_50_use_gpu_True wall_time: 0.0008 s Throughput: 0.016 GB/s
Benchmark: m_128_n_100_k_99_use_gpu_False wall_time: 0.000261 s Throughput: 0.049 GB/s
Benchmark: m_128_n_100_k_99_use_gpu_True wall_time: 0.000794 s Throughput: 0.0161 GB/s
Benchmark: m_128_n_100_k_100_use_gpu_False wall_time: 0.000239 s Throughput: 0.0536 GB/s
Benchmark: m_128_n_100_k_100_use_gpu_True wall_time: 0.000777 s Throughput: 0.0165 GB/s
Benchmark: m_128_n_1000_k_1_use_gpu_False wall_time: 0.000324 s Throughput: 0.395 GB/s
Benchmark: m_128_n_1000_k_1_use_gpu_True wall_time: 0.000916 s Throughput: 0.14 GB/s
Benchmark: m_128_n_1000_k_10_use_gpu_False wall_time: 0.00042 s Throughput: 0.305 GB/s
Benchmark: m_128_n_1000_k_10_use_gpu_True wall_time: 0.000902 s Throughput: 0.142 GB/s
Benchmark: m_128_n_1000_k_500_use_gpu_False wall_time: 0.0011 s Throughput: 0.116 GB/s
Benchmark: m_128_n_1000_k_500_use_gpu_True wall_time: 0.00097 s Throughput: 0.132 GB/s
Benchmark: m_128_n_1000_k_990_use_gpu_False wall_time: 0.00133 s Throughput: 0.0962 GB/s
Benchmark: m_128_n_1000_k_990_use_gpu_True wall_time: 0.000993 s Throughput: 0.129 GB/s
Benchmark: m_128_n_1000_k_1000_use_gpu_False wall_time: 0.00102 s Throughput: 0.126 GB/s
Benchmark: m_128_n_1000_k_1000_use_gpu_True wall_time: 0.000964 s Throughput: 0.133 GB/s
Benchmark: m_128_n_10000_k_10_use_gpu_False wall_time: 0.002 s Throughput: 0.64 GB/s
Benchmark: m_128_n_10000_k_10_use_gpu_True wall_time: 0.00288 s Throughput: 0.445 GB/s
Benchmark: m_128_n_10000_k_100_use_gpu_False wall_time: 0.00233 s Throughput: 0.549 GB/s
Benchmark: m_128_n_10000_k_100_use_gpu_True wall_time: 0.00325 s Throughput: 0.394 GB/s
Benchmark: m_128_n_10000_k_5000_use_gpu_False wall_time: 0.0127 s Throughput: 0.101 GB/s
Benchmark: m_128_n_10000_k_5000_use_gpu_True wall_time: 0.00381 s Throughput: 0.336 GB/s
Benchmark: m_128_n_10000_k_9900_use_gpu_False wall_time: 0.015 s Throughput: 0.0853 GB/s
Benchmark: m_128_n_10000_k_9900_use_gpu_True wall_time: 0.00438 s Throughput: 0.292 GB/s
Benchmark: m_128_n_10000_k_10000_use_gpu_False wall_time: 0.0104 s Throughput: 0.123 GB/s
Benchmark: m_128_n_10000_k_10000_use_gpu_True wall_time: 0.00427 s Throughput: 0.3 GB/s
Benchmark: m_128_n_100000_k_100_use_gpu_False wall_time: 0.0148 s Throughput: 0.865 GB/s
Benchmark: m_128_n_100000_k_100_use_gpu_True wall_time: 0.0262 s Throughput: 0.488 GB/s
Benchmark: m_128_n_100000_k_1000_use_gpu_False wall_time: 0.0201 s Throughput: 0.636 GB/s
Benchmark: m_128_n_100000_k_1000_use_gpu_True wall_time: 0.0263 s Throughput: 0.486 GB/s
Benchmark: m_128_n_100000_k_50000_use_gpu_False wall_time: 0.214 s Throughput: 0.0599 GB/s
Benchmark: m_128_n_100000_k_50000_use_gpu_True wall_time: 0.0322 s Throughput: 0.398 GB/s
Benchmark: m_128_n_100000_k_99000_use_gpu_False wall_time: 0.262 s Throughput: 0.0489 GB/s
Benchmark: m_128_n_100000_k_99000_use_gpu_True wall_time: 0.0377 s Throughput: 0.34 GB/s
Benchmark: m_128_n_100000_k_100000_use_gpu_False wall_time: 0.118 s Throughput: 0.108 GB/s
Benchmark: m_128_n_100000_k_100000_use_gpu_True wall_time: 0.0365 s Throughput: 0.351 GB/s
END_PUBLIC
BEGIN_PUBLIC
BEGIN_PUBLIC
Automated g4 rollback of changelist 157169178
PiperOrigin-RevId: 161476569
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PiperOrigin-RevId: 160344052
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PiperOrigin-RevId: 160190881
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END_PUBLIC
Note: this CL will break builds. cl/159887762 to follow to fix all the breakages.
---
Commit 2336cdf7f authored by Maxwell Paul Brickner<mbrickn@users.noreply.github.com>
Committed by gunan<gunan@google.com>:
Updated link to use HTTPS (#10998)
Howdy!
I just updated a link to use https instead of http.
Thanks!
---
Commit ad0892df1 authored by Luke Iwanski<luke@codeplay.com>
Committed by Luke Iwanski<luke@codeplay.com>:
[OpenCL] Fixes run_metadata_test for SYCL
This test is designed to test CUDA specific behavior
---
Commit 6b37a0725 authored by Todd Wang<toddwang@gmail.com>
Committed by GitHub<noreply@github.com>:
Update comments
---
Commit 1699d904a authored by John Lawson<john@codeplay.com>
Committed by Luke Iwanski<luke@codeplay.com>:
[OpenCL] Fixes CUDA specific test run on SYCL (#56)
The testBadParentValuesOnGPU should only be run on CUDA devices, as the
test checks for particular CUDA behaviour. We don't actually provide a
SYCL kernel for GatherTree and so it's not a problem that the tests
don't target SYCL.
---
Commit 3c1946230 authored by myPrecious<Moriadry@users.noreply.github.com>
Committed by Shanqing Cai<cais@google.com>:
Java API to get the size of specified input list of operations. (#10865)
* Java API to get the size of specified input list of operations
* remove unnecessary explain to avoid bring a new term to users.
---
Commit e911c7480 authored by Luke Iwanski<luke@codeplay.com>
Committed by Luke Iwanski<luke@codeplay.com>:
[OpenCL] REGISTER -> REGISTER6
---
Commit fbf6c4cec authored by superryanguo<superryanguo@gmail.com>
Committed by superryanguo<superryanguo@gmail.com>:
Simplify the Quickstart section with the weblink is better
---
Commit 72e2918cc authored by Taehoon Lee<taehoonlee@snu.ac.kr>
Committed by Taehoon Lee<taehoonlee@snu.ac.kr>:
Fix typos
---
Commit 90c4406b7 authored by Rishabh Patel<patelrishabh@users.noreply.github.com>
Committed by GitHub<noreply@github.com>:
Correct the learning rate as per the code snippet
---
Commit 03da61134 authored by Todd Wang<toddwang@gmail.com>
Committed by GitHub<noreply@github.com>:
Update ir_array.cc
---
Commit 2df6cd3ac authored by Todd Wang<toddwang@gmail.com>
Committed by GitHub<noreply@github.com>:
Another try
---
Commit af0cbace1 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Transpose to go through Eigen (#10321)
---
Commit fc7361081 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Registers RGBToHSV and HSVToRGB (#91) (#10848)
* [OpenCL] Added RGBToHSV and HSVToRGB
* Aligning '\'
---
Commit 832894ef8 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Registers AdjustContrastv2 (#10949)
* [OpenCL] Registers AdjustContrastv2 (#93)
* [OpenCL] Extended adjust_contrast_op_benchmark_test for OpenCL (#96)
* [OpenCL] Extended adjust_contrast_op_benchmark_test for OpenCL
* simplified to #ifndef
* Changed to "#if GOOGLE_CUDA"
* Update adjust_contrast_op_benchmark_test.cc
* Added comments
---
Commit cb4c2f8d1 authored by Yifei Feng<yifeif@google.com>
Committed by Yifei Feng<yifeif@google.com>:
Make TransferBufferToInFeed not virual so it compiles.
---
Commit e89f04d80 authored by Yifei Feng<yifeif@google.com>
Committed by Yifei Feng<yifeif@google.com>:
Fix calling Literal member functions.
---
Commit 15a8df724 authored by Yifei Feng<yifeif@google.com>
Committed by Yifei Feng<yifeif@google.com>:
Fix mac build
clone from meheff's change:
[XLA] Change return type of DeviceAssignment::Deserialize to fix build
breakage on mac.
The mac build had the following error:
error: incomplete type 'xla::DeviceAssignment' used in type trait
expression
This was due to a static method returning a StatusOr<DeviceAssignment>
inside of the definition of DeviceAssignment.
---
Commit a54d43fa4 authored by Yifei Feng<yifeif@google.com>
Committed by Yifei Feng<yifeif@google.com>:
Replace LiteralUtil to Literal in compiler/plugin/executor
---
Commit 88a6bb80c authored by Guenther Schmuelling<guschmue@microsoft.com>
Committed by Guenther Schmuelling<guschmue@microsoft.com>:
expand inline for debug builds to limit number of symbols
---
Commit 62fb49d31 authored by Yifei Feng<yifeif@google.com>
Committed by Yifei Feng<yifeif@google.com>:
Fix visibility error for contrib/remote_fused_graph/pylib/BUILD.
---
Commit 4c75252f2 authored by Mark Neumann<markn@allenai.org>
Committed by Mark Neumann<markn@allenai.org>:
fix initial test values to avoid numerical instability
---
Commit b58d98353 authored by sj6077<epik03sj@gmail.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
Fixes of AutoParallel bug (#10368)
* Fix the bug that auto_parallel could replicate variable snapshot name
* Use NodeName in grappler:utils instead of substr, convert variables->variable_def of grappler item
* remove variable_def from grappler item, exclude snapshot nodes from dont_replicate_nodes in auto_parallel
---
Commit a286b7db8 authored by Yifei Feng<yifeif@google.com>
Committed by Yifei Feng<yifeif@google.com>:
Make debug_test slice integer.
---
Commit 97fcfdfa6 authored by Toby Boyd<tobyboyd@google.com>
Committed by GitHub<noreply@github.com>:
Fixed path to seq2seq.py and minor formatting
---
Commit 63c1befb8 authored by Anish Shah<shah.anish07@gmail.com>
Committed by Anish Shah<shah.anish07@gmail.com>:
Improve docs for tf.nn.depthwise_conv2d_native
---
Commit 8d42202b2 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Fix mismatched delete in mkl_tfconv_op.cc
This fix fixes mismatched new[]-delete in mkl_tfconv_op.cc
(the file went through clang-format so there are some additional
changes)
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 26301bd55 authored by Danny Goodman<goodman.danny@gmail.com>
Committed by Danny Goodman<goodman.danny@gmail.com>:
fix error format
---
Commit b3f33ad46 authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make changes to prepare for the fused option of batch norm to be set to None (None means using fused batch norm if possible).
PiperOrigin-RevId: 159649743
---
Commit a4a469832 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add tests for select ops and while loops that produce tuples that contain predicates.
PiperOrigin-RevId: 159645900
---
Commit 980d3f2be authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use C API to implement Operation.name property
This name property is used in many existing tests including those that
already run with C API enabled (math_ops_test, framework_ops_test,
session_test, session_partial_run_test, math_ops_test_gpu, etc).
PiperOrigin-RevId: 159645767
---
Commit 26239c706 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Previously we didn't have an implementation of BatchNormInference and BatchNormTraining, which gives a linker error if anyone ever tries to call that. A dummy implementation is friendlier than a linker error.
PiperOrigin-RevId: 159645612
---
Commit f671c5caa authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 159570549
PiperOrigin-RevId: 160182040
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END_PUBLIC
---
Commit f0e185d1f authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Better handle nodes with a variable number of outputs
PiperOrigin-RevId: 158435028
---
Commit bc3e20807 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unused BUILD dependencies
PiperOrigin-RevId: 158431059
---
Commit a0c80e4d5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Delete unnecessary (mistakenly duplicated) logging message.
PiperOrigin-RevId: 158428506
---
Commit b6ad1d747 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds DNN-only tests for DNNLinearCombinedClassifier.
PiperOrigin-RevId: 158423119
---
Commit ddbb58034 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unnecessary pylint disable
PiperOrigin-RevId: 158416140
---
Commit fcaa724e2 authored by Luke Iwanski<luke@codeplay.com>
Committed by gunan<gunan@google.com>:
[OpenCL] Cleans pack and unpack ops (#10336)
* [OpenCL] Cleans pack op
* [OpenCL] Cleans unpack op
---
Commit 2f53cacb2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix a test failure of quantization_utils_test on ASAN
PiperOrigin-RevId: 158414538
---
Commit 50b2f951c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 158413455
---
Commit 1e90b78e9 authored by Brennan Saeta<saeta@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add CacheDataset ops.
Some input pipelines may pull down data from remote webservers or perform
expensive processing. In order to avoid extraneous work, we now support
caching the dataset (e.g. on disk).
PiperOrigin-RevId: 158411901
---
Commit e16cd2ede authored by Taehoon Lee<taehoonlee@snu.ac.kr>
Committed by gunan<gunan@google.com>:
Fix typos (#10533)
---
Commit 50d80ddf9 authored by Jonathan Hseu<jhseu@google.com>
Committed by Jonathan Hseu<jhseu@google.com>:
Fix fft_ops_test.py for CPU
---
Commit d35cbbb44 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add weight-column support to the heads.
PiperOrigin-RevId: 158409180
---
Commit 7fb52cd54 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Don't crash when displaying XLA metrics if they happen to be negative.
PiperOrigin-RevId: 158407664
---
Commit 12a7a752a authored by Jianfei Wang<me@thinxer.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Add a tip for tf.train.LoggingTensorHook (#10237)
`INFO` logs are not printed by default unless in IPython. Add a friendly tip for newcomers.
---
Commit 216dcbf1e authored by Luke Iwanski<luke@codeplay.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
[OpenCL] Cleans reduction ops (#10340)
* [OpenCL] Cleans reduction_ops_max.cc
* [OpenCL] Cleans reduction_ops_mean.cc
* [OpenCL] Cleans reduction_ops_min.cc
* [OpenCL] Cleans reduction_ops_prod.cc
* [OpenCL] Cleans reduction_ops_sum.cc
---
Commit 2b351062a authored by Androbin<robin.richtsfeld@gmail.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Improve docs for selective registration headers (#10351)
* Improve docs for selective registration headers
progressing #10299
* Update print_selective_registration_header.py
* Mention both flags
-DSELECTIVE_REGISTRATION and -DSUPPORT_SELECTIVE_REGISTRATION
---
Commit ee919510f authored by Yun Peng<pcloudy@google.com>
Committed by gunan<gunan@google.com>:
Re-enable some python tests in Windows Bazel build (#10526)
---
Commit b0e881457 authored by Androbin<robin.richtsfeld@gmail.com>
Committed by gunan<gunan@google.com>:
[Bash] Declare and assign separately (#10509)
As proposed by static analysis tool:
https://github.com/koalaman/shellcheck/wiki/SC2155
---
Commit 284901b08 authored by Androbin<robin.richtsfeld@gmail.com>
Committed by gunan<gunan@google.com>:
[Bash] Remove unquoting quotes (#10506)
As proposed by static analysis tool:
https://github.com/koalaman/shellcheck/wiki/SC2027
---
Commit 2a1f11556 authored by ksellesk<zhengdachuan200305@gmail.com>
Committed by ksellesk<zhengdachuan200305@gmail.com>:
Fix AttributeError in resnet.py
There is no function tf.softmax() in Tensorflow 1.x.
When running the old code, Python interpreter complains:
File "resnet.py", line 152, in res_net_model
prediction, loss = res_net(x, y)
File "resnet.py", line 148, in res_net
return tf.softmax(logits), loss
AttributeError: 'module' object has no attribute 'softmax'
---
Commit 1d68f729b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unneeded BUILD dependency
PiperOrigin-RevId: 158391996
---
Commit 08ed32dbb authored by Yun Peng<pcloudy@google.com>
Committed by gunan<gunan@google.com>:
Windows: Make TensorFlow build without --cpu=x64_windows_msvc (#10466)
* Windows: Make TensorFlow build without --cpu=x64_windows_msvc
Since from Bazel 0.5.0, MSVC toolchain became the default toolchain on
Windows. So --cpu=x64_windows_msvc is not required as long as we adjust
the BUILD files in TensorFlow.
--cpu=x64_windows_msvc is also supported for now, but is depracated.
The configuration for cpu value x64_windows_msvc is a duplicate of
x64_windows, which should be removed in the future.
* Fix breakage on macOS
---
Commit 02dbe153a authored by Androbin<robin.richtsfeld@gmail.com>
Committed by gunan<gunan@google.com>:
[Bash] Simplify Conditional (#10503)
---
Commit c07bc581f authored by Androbin<robin.richtsfeld@gmail.com>
Committed by gunan<gunan@google.com>:
[Bash] Prefer read -a to split path (#10508)
As proposed by static analysis tool:
https://github.com/koalaman/shellcheck/wiki/SC2207
---
Commit 0a389674d authored by Androbin<robin.richtsfeld@gmail.com>
Committed by gunan<gunan@google.com>:
[Bash] Prefer [ p ] && [ q ] over [ p -a q ] (#10507)
As proposed by static analysis tool:
https://github.com/koalaman/shellcheck/wiki/SC2166
---
Commit 87a008ec3 authored by Jonathan Hseu<vomjom@vomjom.net>
Committed by gunan<gunan@google.com>:
Delete non-deterministic testEmpty() test (#10512)
---
Commit 3a2971bd8 authored by Frank Chen<frankchn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds the base for ClusterResolvers, a new way of communicating with and retrieving cluster information for running distributed TensorFlow.
Implementations of this class would eventually allow users to simply point TensorFlow at a cluster management endpoint, and TensorFlow will automatically retrieve the host names/IPs and port numbers of TensorFlow workers from the cluster management service.
PiperOrigin-RevId: 158358761
---
Commit 28b4e7f04 authored by Jonathan Hseu<vomjom@vomjom.net>
Committed by gunan<gunan@google.com>:
Disable stage_op_test and map_stage_op_test (#10516)
---
Commit 390e57a75 authored by Yan (Asta) Li<yanastali@users.noreply.github.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
Check EIGEN_MAX_ALIGN_BYTES to prevent mod-by-0 (#10380)
* Check EIGEN_MAX_ALIGN_BYTES to prevent mod-by-0
If EIGEN_MAX_ALIGN_BYTES is set to 0, alignment checks that mod by EIGEN_MAX_ALIGN_BYTES fail at runtime.
* Returns true, as in tensorflow/core/framework/tensor.h
* Update unit tests
* Enable tests only if EIGEN_MAX_ALIGN_BYTES > 0
---
Commit cd5ac40b3 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Update LLVM to upstream revision r304927.
Add LLVM build rules for the LLVM AMDGPU backend, commented out by default. Fixes issue #10437.
PiperOrigin-RevId: 158351480
---
Commit 91cb809bd authored by David Norman<DavidNorman@users.noreply.github.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
[XLA] Add ability to run the XLA unit tests against a different device (#9759)
* Add ability to run the XLA unit tests against a different device
* Allow for multiple extra backend devices
* Correct merge error
* Include options for additional tags
---
Commit aff4d124b authored by Yuxin Wu<ppwwyyxxc@gmail.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Compare base_dtype instead of dtype in piecewise_constant (#10280)
* Compare base_dtype instead of dtype in piecewise_constant
Compare base_dtype instead of dtype in piecewise_constant. Fix #10086
* add unit test
* Small lint fix and comment
---
Commit 845539f98 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add evaluation test for linear classifier (n==2 or n >2).
PiperOrigin-RevId: 158340296
---
Commit 7c46214ab authored by Jonathan Hseu<vomjom@vomjom.net>
Committed by GitHub<noreply@github.com>:
Fix numpy 1.13 incompatibilities (#10501)
* Fix numpy 1.13 incompatibilities
* Skip tests with numpy 1.13.0
---
Commit 4572c41df authored by gunan<gunan@google.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
A few changes to kernel_tests. (#10502)
* Disable reader_ops_test on windows.
* Run buildifier on kernel_tests/BUILD
* Mark map_stage_op_test as large.
* Set the size of stage_op_test to large
---
Commit 892293d98 authored by Brennan Saeta<saeta@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Set a default for datasets end_of_sequence.
While all datasets carefully set the end_of_sequence to true at the
appropriate time, some datasets might forget to set it to false in the normal
case. In order to avoid potential undefined behavior, we set the
end_of_sequence variable to be false by default.
PiperOrigin-RevId: 158337799
---
Commit 187404eac authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Setup the env to since ops such as MatchFileOp rely on it.
PiperOrigin-RevId: 158336344
---
Commit 2741561c8 authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix up vz_projector script structure
We now make sure scripts and HTML imports are declared in the correct
places. In the future, pedantically listing script tags should not be
necessary.
PiperOrigin-RevId: 158334306
---
Commit beeaade46 authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Resubmit a reverted change. Original description:
[XLA] Enable HloEvaluator for constant folding, also merged a few operations
from hlo_constant_folding to hlo_evaluator.
Additionally:
- In ShapeUtil::ForEachIndex:
* fix a bug where visitor is called when the shape has zero elements (e.g., F32{1,0})
* added test case for ForEachIndex.
- In HloEvaluator:
* Instead of copying and caching a Constant instruction, return the literal directly if the instruction is constant.
* Fix an issue where TUPLE and OPAQUE primitives are not keyed in the templated typed_visitor.
* Use (fixed) LiteralUtil::Populate to populate resulting literal, fixes the preexisting bug in the evaluator where R0 and shape with zero size dimensions are not handled.
* Refactor ElementWiseUnaryOp and HandleCompare to be templatized on the operand's type.
* Refactor IsFinite to be top level since it is only applicable to floats and the return type is always boolean.
* Change from std::remainder to std::fmod for kRemainder to be compliant with existing XLA behavior.
* Change from std::max and std::min to std::fmax and std::fmin to handle NaNs.
* Minor comments fix.
PiperOrigin-RevId: 158330052
---
Commit b94540e6f authored by Toby Boyd<tobyboyd@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
tf.layers.conv2d use_bias=True to use nn.bias_add
PiperOrigin-RevId: 158326493
---
Commit 379aa9911 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 158325855
---
Commit 4e529f0f1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 158325293
---
Commit 0a9d2dac0 authored by Yuefeng Zhou<yuefengz@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a util function in virtual placer to return canonicalized device string, which can be used to fix the node's device field before passing them to the maxcut algorithm.
PiperOrigin-RevId: 158322753
---
Commit 2d8da1d9b authored by Daniel Ylitalo<daniel@blodan.se>
Committed by gunan<gunan@google.com>:
Recognize CPU core count in FreeBSD (#10490)
---
Commit c19e6cac0 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Initial implementation of TensorArray ops.
The XLA implementation of TensorArrays is more restrictive than regular TensorArrays:
* XLA TensorArrays must have dynamic_size=False.
* all elements in an XLA TensorArray must have the same shape.
* writes always add their values to any existing values; neither reads nor writes ever issue errors. Out-of-bounds writes currently wrap.
Refactor Variable handling in the TF/XLA bridge. Use a XlaVariable* to refer to variables inside compilation rather than a numerical ID. Allow for variables that don't correspond to variables known to the user. Also use XlaVariable to handle TensorArrays.
PiperOrigin-RevId: 158322041
---
Commit b5e8d3086 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Refactor randomized tests to allow testing of larger inputs without running out of memory.
PiperOrigin-RevId: 158321431
---
Commit 5d90bbaac authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Disable constant_folding in test base, so that intended test code paths
would not be elided by constant_folding pass.
PiperOrigin-RevId: 158317641
---
Commit 036ce8ba6 authored by Luke Iwanski<luke@codeplay.com>
Committed by gunan<gunan@google.com>:
[OpenCL] Cleans dense_update_ops (#10335)
* [OpenCL] Cleans dense_update_ops
* Acts on feedback from: #10335#discussion_r120536460
---
Commit 85f968125 authored by Luke Iwanski<luke@codeplay.com>
Committed by gunan<gunan@google.com>:
[OpenCL] Cleans cast operation (#10330)
* [OpenCL] Removes not needed typedef for SYCLDevice
* [OpenCL] Fixes formatting
* [OpenCL] use SYCLDevice for int32 cast case
---
Commit bff5e72da authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix typo.
PiperOrigin-RevId: 158310742
---
Commit 38249d6be authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Swap the order of NanTensorHook and custom hooks
to ensure that when the training encounteres NaN's in the loss function, user-supplied hooks such as tf_debug.LocalCLIDebugHook can still be used to debug the root cause of the numeric issues.
PiperOrigin-RevId: 158310249
---
Commit 599727c65 authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Propagate debug option flags to hlo_test_base.
Specific HLO tests have to replace the generic test_main target with a manual
main() that invokes RUN_ALL_TESTS.
To get access to a module with debug options set up, a new convenience method
is created on HloTestBase.
Initially algebraic_simplifier_test is modified as a canary; in a followup
we'll convert all HLO tests to this approach.
PiperOrigin-RevId: 158309488
---
Commit 0770393e9 authored by Eric Liu<ioeric@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[Tensorboard] Add a trace viewer component to TensorBoard.
We make the trace viewer a separate app; otherwise, there would be dependency
conflicts (e.g. Polymer) between the trace viewer app and the tensorboard app.
The trace viewer app would be served by a plugin, and Tensorboard dashboard will integrate trace viewer app using iframe in the
future.
This CL also added "mominify" support for link import HTML tags in the
tensorboard home-grown java vulnizer; otherwise, the vulcanized trace viewer code
would crash the java vulcanizer.
For open-source build, we add a denpendency on the Catapult github repository
(https://github.com/catapult-project/catapult/tree/master/tracing). We use a bazel genrule to vulcanize a trace viewer binary which is then used in the
tf-trace-viewer component.
PiperOrigin-RevId: 158309408
---
Commit 85e832201 authored by RJ Ryan<rjryan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Support unknown emit shapes in tf.nn.raw_rnn.
PiperOrigin-RevId: 158308002
---
Commit edb5fed7f authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add label-vocab support to binary logistic head.
Add assertion that binary classifier label is in range [0., 1.]
Fixed Classifier Integration tests.
PiperOrigin-RevId: 158307521
---
Commit f8e1cf8fa authored by Justine Tunney<jart@google.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Open up visibility of tf_imports (#10500)
This also fixes the definition of Clutz.
---
Commit 9fd7cf054 authored by Luke Iwanski<luke@codeplay.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
[OpenCL] Cleans relu ops (#10343)
* [OpenCL] register relu ops to gpu types (no half)
* [OpenCL] Removes #undef EIGEN_USE_SYCL
---
Commit 09c1455e3 authored by Luke Iwanski<luke@codeplay.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
[OpenCL] Cleans reverse_op.cc (#10346)
---
Commit b7892a30f authored by orome<royl@aldaron.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Clarify tf.matmul documentation (#10381)
* Update math_ops.py
* Fix non-ascii character
---
Commit 9786b7062 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Cleans StridedSlice Op (#10314)
* [OpenCL] Cleans StridedSlice Op
* [OpenCL] Removes half from registred types
---
Commit f105df047 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
In the CUDA path of depthwise_conv2d, optimize backward filter convolution for images 2 or 4 times smaller than 16x16. Also initialize in_cols from blockDim, to fix the regression caused in CL 157906773.
PiperOrigin-RevId: 158296136
---
Commit 492afc2e3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 158295169
---
Commit abe0877ef authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add bazel version check to .configure
PiperOrigin-RevId: 158294569
---
Commit b702e7e79 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 158294289
---
Commit 94085bee7 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Replace std::function object with regular function.
The function is called recursively, and the std::function object had only existed to allow recursion from within a lambda expression. A regular function should be cheaper than a polymorphic function wrapper.
PiperOrigin-RevId: 158292415
---
Commit ba656b261 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use template specialization instead of overloaded methods. This is a more appropriate tool here. NFC
PiperOrigin-RevId: 158292035
---
Commit 55f987692 authored by Yutaka Leon<yleon@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make tf.contrib.lookup python functions use the kernels v2 that uses the resource tensor as handler.
PiperOrigin-RevId: 158291836
---
Commit ebae3deba authored by Wei Ho<weiho@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Switch back to max_num_rows_to_load instead of reading slice by slice due to performance regression from network overhead.
Add check when using initializing values to avoid seg fault
PiperOrigin-RevId: 158291218
---
Commit 7b4c01794 authored by RJ Ryan<rjryan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Support numpy-style padding and slicing of tf.spectral.rfft/irfft to match the desired FFT length.
Fixes incorrect RFFT/IRFFT results when fft_length does not match the input dimension.
PiperOrigin-RevId: 158289991
---
Commit fdb8e2935 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update iOS examples to use CocoaPods, and moved to tensorflow/examples/ios
PiperOrigin-RevId: 158289285
---
Commit d86167b5f authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Merging rc2 back into master.
---
Commit dffea202a authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Clean up some code after previous CL
PiperOrigin-RevId: 158282834
---
Commit 7b5302af0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds ability to set a "family" attribute in Tensorflow summaries, which
controls the "tab name" of the summary that is displayed.
This solution keeps using name_scope to keep names unique, but then prefixes the tag with the family name if provided.
PiperOrigin-RevId: 158278922
---
Commit 611c82b5b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds integration test for DNNLinearCombined((Classifier)|(Regressor)).
PiperOrigin-RevId: 158278512
---
Commit cc6c91a9a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove a further unused proto header inclusion
PiperOrigin-RevId: 158278026
---
Commit 9f17c26ca authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add HloLocation to dataflow analysis.
Add an HloLocation abstraction to dataflow analysis which indicates where (in the output of what instruction and at which index) an HloValue may appear. Previously only uses were stored with an HLO value where a use is an edge in the HLO graph (instruction, operand number and ShapeIndex).
Also, change the handling of tuple-shaped kSelect instructions when ssa_form is true. Previously a phi value would be created. With this change the the value set instead contains the union of it's inputs identical to the ssa_form=false case.
PiperOrigin-RevId: 158276598
---
Commit b9d5e1441 authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Start collecting flags for debug options in a single place.
ClientLibraryTestBase will now parse command-line flags for debug options
automatically, permitting subclasses to override certain options by using
mutable_debug_options.
main() still has to call AppendDebugOptionsFlags() explicitly before running
the TF flag parser. In the mean-time, this CL leaves flag handling to the
current "legacy" approach. However, this is part of a larger plan to move *all*
debugging flags for XLA into the DebugOptions message and expose them as flags
from a single place. The other flags (which are not controlling debugging
options) will have to be propagated more explicitly.
PiperOrigin-RevId: 158276294
---
Commit 3b6fe94bb authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Properly handle shape nodes that have a preexisting control dependency
PiperOrigin-RevId: 158274845
---
Commit 1d67379d5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Minor cleanup
PiperOrigin-RevId: 158268933
---
Commit 41997756c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Sort header inclusions; define EIGEN_USE_THREADS where headers depend on it.
PiperOrigin-RevId: 158267803
---
Commit 85355f015 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add missing header inclusion
PiperOrigin-RevId: 158265934
---
Commit 3cf88d390 authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
When GPU is configured, do not require --config=cuda.
Also fix indentation in configure.
PiperOrigin-RevId: 158232959
---
Commit f48673b50 authored by Luke Iwanski<luke@codeplay.com>
Committed by gunan<gunan@google.com>:
[OpenCL] Removes ReductionFunctor for SYCLDevice (#10326)
We are using Eigen implementation
---
Commit 1b6453bec authored by Joan Puigcerver<joapuipe@gmail.com>
Committed by gunan<gunan@google.com>:
Fixes issue #10258 (#10366)
On CUDA versions previous to 8.0, only __shared__ variables could be declared as static in the device code.
---
Commit cd56a638d authored by Beomsu Kim<123bskim@naver.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Fixed wrong range in docstring (#10272)
---
Commit d13ae380c authored by Micha? Jastrz?bski<michal.jastrzebski@intel.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Fix CMD in Dockerfile (#10444)
Currently Notebook fails execution because default user for this container is root, and unless explicitly allowed, jupyter notebook will not start.
---
Commit 8118ab4ec authored by Simon Perkins<simon.perkins@gmail.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Support partial gets in MapStagingArea (#10276)
* Modify map staging area tests
- size from `small` to `medium`
- introduce 2 shards
* Add partial get support in MapStagingArea
A partial list of tensors in a (key, value) map entry can now be
requested. Once all tensors associated with the entry are removed,
it is removed from the map.
* Correct output/indices mismatch errors
* Rename IncompleteTuple to OptionalTuple
* Add partial get test with indices
* Add some more index checks
* Improve stage test case graph creation
Test sessions (and default graphs) are reused by default.
Create explicit, finalized graphs in each test to prevent
possible interactions between stateful Staging Areas and
others ops created in separate tests.
* Make staging area tests small and remove shards
They were originally made 'medium' to ameliorate timeouts in the test
case, but they usually run in ~1s so they should be small.
* Improve imports
Avoid importing base tensorflow package
* Support both python 2 and python 3 range.
* Set map_stage_op_test to size=large
* Convert the tests to size=medium
---
Commit 0df102b0a authored by Androbin<robin.richtsfeld@gmail.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Update `configure` script sample (#10455)
The `configure` script was changed regularly since the generation of the sample.
This PR updates the sample to reflect those changes.
---
Commit f6dc1ac61 authored by Earthson Lu<Earthson.Lu@gmail.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
MKL_INSTALL_PATH should not be ignore when given (#10180)
* MKL_INSTALL_PATH should not be clear when given
* fix overwrite by default
---
Commit 8ad6a036e authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Java: Update Maven release to 1.2.0-rc2
PiperOrigin-RevId: 158212897
---
Commit 15eddf035 authored by Fritz Obermeyer<fritz.obermeyer@gmail.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Export C API symbols in _pywrap_tensorflow_internal.so (#10469)
* Export C API symbols
* Export C API symbols under config:default
---
Commit 754e12668 authored by Luke Iwanski<luke@codeplay.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
[OpenCL] Removes half concat op registration (#10331)
---
Commit cfdc22dee authored by Peng Yu<yupbank@users.noreply.github.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
fix the error (#10293)
---
Commit 58747e357 authored by Joel Hestness<jthestness@gmail.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
PhiloxRandom: Fix race in GPU fill function (#10298)
* PhiloxRandom: Fix race in GPU fill function
The PhiloxRandom fill kernel for the GPU had race conditions that caused the
outputs to be non-deterministic. In particular, the code previously executed
with N GPU threads (# thread contexts per GPU), but it would only advance the
fill addresses by N-1 stride in each step. This incorrect stride caused the
0th and N-1st threads to write to the same memory locations, racing for which
was last to write their common locations. Make the stride equal to the number
of threads to eliminate the race.
BONUS: By fixing this race, PhiloxRandom constant-sized GPU initializers now
match CPU initializers.
* Update random_ops_test.py to find race conditions
Increasing the size of arrays in the random_ops_test.py test to manifest
the race conditions to be resolved.
---
Commit 2cbcda08f authored by Androbin<robin.richtsfeld@gmail.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Fixed formatting in Linux install guide (#10353)
Formatting issues were introduced in PR #8825, commit f30918b3694afe844990cbddc82e27e023d88856
---
Commit ab5f38560 authored by Lakshay Garg<lakshayg@outlook.in>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Fixed typos in documentation & READMEs (#10365)
---
Commit 94dc1dbfa authored by Christos Nikolaou<cNikolaou@users.noreply.github.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Enable figures in the tfprof README.md (#10372)
---
Commit 3018d4678 authored by Taehoon Lee<taehoonlee@snu.ac.kr>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Fix typos (#10386)
---
Commit c5f3c6171 authored by Daniel Rasmussen<drasmuss@users.noreply.github.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Fix unbatch for Datasets with multiple elements (#10401)
* Fix unbatch for datasets with multiple elements
* fixup! pylint (indent two spaces instead of four)
---
Commit 8b065bc10 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Fix unaligned args in api_docs/python/tf/contrib/learn/Evaluable (#10423)
This commit fixes unaligned args in api_docs/python/tf/contrib/learn/Evaluable
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 8f89b654f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Profile memory usage in VirtualScheduler and report peak memory usage.
To do so, NodeState now handles different output ports of a node (in case
a node has multiple outputs).
Also, VirtualScheduler code is cleaned up with more comments.
PiperOrigin-RevId: 158209068
---
Commit 0ea0bf5aa authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a frontend for viewing the first ops that exhibit bad values (NaN, +/- Inf).
This helps the user identify problematic ops. Also moved the debugger data logic within tf-graph-info into a new tf-graph-debugger-data-card component.
PiperOrigin-RevId: 158208679
---
Commit ed47ecf2d authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Cleans variable op (#10333)
* [OpenCL] Cleans variable op
* Fixes formatting and float / double -> GPU_NUMBER_TYPES_NO_HALF
---
Commit 9b2c1af63 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Improves device reporting (#10462)
Prints: id, type, name, vendor and profile of the device
---
Commit 7f5384dcc authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Making load() work for resource variables.
PiperOrigin-RevId: 158205361
---
Commit 05412bd36 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Simplify Shape traversal visitors.
Simplify shape traversal visitors in ShapeUtil and ShapeTree. Add a non-Status form because most uses of the traversal methods do not use it, and remove is_leaf parameter from ShapeTree.ForEach* as it is not frequently used.
PiperOrigin-RevId: 158201574
---
Commit 69c9365b4 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Extracted linear estimator testing utils to be reused by dnn-linear-combined.
Added tests for linear part of dnn-linear-combined estimator.
PiperOrigin-RevId: 158200827
---
Commit 65ce8c723 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add arrowheads to dataflow edges.
Make reference edges orange.
Remove animations from tooltips in the graph documentation.
Previously, arrowheads were only added to reference edges (because we assumed users knew about the convention that arrowless edges flow upwards). That decision nicely reduces clutter. However, recently, some internal and external folks have expressed confusion, and so I want to try adding arrowheads to all data flow edges. And make the reference edges starkly different.
See #10428
PiperOrigin-RevId: 158195388
---
Commit bf4c3dd6b authored by gunan<gunan@google.com>
Committed by GitHub<noreply@github.com>:
Revert "Fix patching issue on Windows" (#10472)
This reverts commit 47e6785646a1266f01a1a570bd799f8518ee2997.
---
Commit b49515539 authored by David Soergel<soergel@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add only string constants to ASSET_FILEPATHS collection.
PiperOrigin-RevId: 158192152
---
Commit 51acad09c authored by Sergio Guadarrama<sguada@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add tests with different delta to huber_loss.
PiperOrigin-RevId: 158191361
---
Commit a4e7b7add authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixes a bug in setting default optimizers for DNNLinearCombinedClassifier.
PiperOrigin-RevId: 158190192
---
Commit ddd67e333 authored by Luke Iwanski<luke@codeplay.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
[OpenCL] Cleans reshape.cc (#10347)
* [OpenCL] Cleans reshape.cc
* Removes half and complex numbers.
Half is extension and complex numbers needs implementation in Eigen first
---
Commit 3ca653304 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 158186454
---
Commit 8cda8660e authored by Luke Iwanski<luke@codeplay.com>
Committed by gunan<gunan@google.com>:
[OpenCL] Cleans sendrecv_ops.cc (#10345)
---
Commit 6915bb919 authored by Luke Iwanski<luke@codeplay.com>
Committed by gunan<gunan@google.com>:
[OpenCL] Cleans Slice op (#10341)
---
Commit 54998b45d authored by Michele Colombo<m-colombo@users.noreply.github.com>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
BasicRNNCell comment fix (#10467)
---
Commit df5906fb7 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Mark saver/restore ops that depend on filesystem as stateful to disable them
from being folded into a constant by graph optimizer.
PiperOrigin-RevId: 158182282
---
Commit 96cb4d182 authored by Sergio Guadarrama<sguada@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add support of scale_l1 == 0. or scale_l2 == 0 to l1_l2_regularizer.
Added tests.
PiperOrigin-RevId: 158179790
---
Commit b65eb3f9b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Speed up atrous_convolution_test by combining evaluations.
To make this test run faster (and prevent it from timing out under
certain circumstances), this change combines all evaluations for each
test method into a single call to Session.run, to eliminate overhead.
This reduces the test time from about 40 seconds to 10 seconds.
RELNOTES: n/a
PiperOrigin-RevId: 158175227
---
Commit b440abce7 authored by Gao, Xiang<qasdfgtyuiop@gmail.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
add Cuda{2D,3D}LaunchConfig that maximizes occupancy (#10032)
* add Cuda{2D,3D}LaunchConfig that max occupancy
* remove default val, check input<=0
* add max size check
* fix typo
* tests, docs, and related changes
* build the test
* buildify
* cudaOccupancy... call check success, and style fix
---
Commit 81cf61fdb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Initialize tensor in graph_properties_test, to avoid msan complaint.
PiperOrigin-RevId: 158169374
---
Commit cabc5c35c authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add xla_disable_hlo_passes to DebugOptions
Also add a SetDebugOptions method to ClientLibraryTestBas; this lets us set
debug options in tests by calling it.
As an example, this CL removes the current way of passing
xla_disable_hlo_passes programmatically in tests - it used to employ a special
constructor parameter which is no longer required.
PiperOrigin-RevId: 158169006
---
Commit 187d23337 authored by Luke Iwanski<luke@codeplay.com>
Committed by gunan<gunan@google.com>:
[OpenCL] Cleans Pad op (#10339)
---
Commit e8bc38ef6 authored by gunan<gunan@google.com>
Committed by GitHub<noreply@github.com>:
Fix test failures on windows. (#10470)
---
Commit 2b3535c64 authored by David Soergel<soergel@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Minor docstring fix for build_parsing_serving_input_receiver_fn
PiperOrigin-RevId: 158163615
---
Commit e55f2e036 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Propagates constants through switch nodes.
PiperOrigin-RevId: 158163537
---
Commit b01d4b905 authored by Jacques Pienaar<jpienaar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Remove outdated todo.
PiperOrigin-RevId: 158161411
---
Commit 7125733d7 authored by William Chargin<wchargin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Create a set of sample data for the audio plugin
This implements a simple tone generator, with sine waves, square waves,
and triangle waves, plus two simple combinations of sine waves. The step
value is used to control the frequency.
PiperOrigin-RevId: 158160889
---
Commit dc81a2420 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Updates to the WALSMatrixFactorization estimator:
- Add a completed_sweeps variable to keep track of sweeps that have been completed during training.
- Add a StopAtSweepHook, which can request a stop after completing a specified number of sweeps.
PiperOrigin-RevId: 158156347
---
Commit 74220616c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Set device cores and frequency in op_level_cost_estimator_test,
to avoid asan error about assigning inf to int64 (this comes
in from a divide-by-0).
PiperOrigin-RevId: 158155488
---
Commit 47e678564 authored by Yun Peng<pcloudy@google.com>
Committed by gunan<gunan@google.com>:
Fix patching issue on Windows (#10452)
---
Commit 6d54f09d9 authored by Yun Peng<pcloudy@google.com>
Committed by gunan<gunan@google.com>:
Fix linking errors of lmdb on Windows (#10457)
---
Commit 61c8a745b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Minor cleanup: Add braces around if statement arms; remove redundant "return" and "static".
PiperOrigin-RevId: 158143418
---
Commit e9a889c5e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Pass int parameter by value, not by const reference
PiperOrigin-RevId: 158142102
---
Commit 9184726ed authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Avoid unnecessary copying of map data during visitation
PiperOrigin-RevId: 158141962
---
Commit 2e7e1d57b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Small fix for how std::move is used in constructors
PiperOrigin-RevId: 158141564
---
Commit 2a61c1652 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
In cpu compiler's CompileAheadOfTime, pass ordering when compiling entry computation.
PiperOrigin-RevId: 158140349
---
Commit f3f53e8b3 authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.contrib.data] Add support for dicts and remove lists from nested structures.
This changes the behavior of constructors like
`tf.contrib.data.Dataset.from_tensors()` when passed a list. Previously, the
`nest` utility would recurse into each element of such a list and create a
separate Dataset component. Now the list will be converted to a tensor, allowing code like:
```python
dataset = tf.contrib.data.Dataset.from_tensor_slices(([1, 2, 3], [4, 5, 6]))
```
...to define a dataset with two components (each of shape `()`).
This change also adds support for dictionaries as nested structures, which
simplifies integration with dictionary-returning ops like `tf.parse_example()`.
Fixes #10151.
RELNOTES: Breaking change to `tf.contrib.data.Dataset` APIs that expect a
nested structure. Lists are now converted to tf.Tensor implicitly. You may need
to change uses of lists to tuples in existing code. In addition, dicts are now
supported as a nested structure.
PiperOrigin-RevId: 158139467
---
Commit b6a8848c1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Enabling python configuration to use a remotely generated configuration that is located inside of the org_tensorflow repo (previously it *had* to be a remote repo declared in workspace file).
PiperOrigin-RevId: 158138601
---
Commit 0fe0bfcc3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unused protobuf header inclusions
PiperOrigin-RevId: 158120864
---
Commit f0c4c6c3f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
In the CUDA path of depthwise_conv2d, add a fast NCHW backward filter convolution for images smaller than 16x16.
PiperOrigin-RevId: 158111294
---
Commit 8dcf37b47 authored by Jon Malmaud<malmaud@gmail.com>
Committed by gunan<gunan@google.com>:
Fix typo (#10379)
---
Commit 3039d7da2 authored by Androbin<robin.richtsfeld@gmail.com>
Committed by gunan<gunan@google.com>:
Remove "bazel clean" (#10318)
Reverting #8880 (see #10236)
unnecessary since bazelbuild/bazel#2759 was merged
---
Commit ae1c16ae8 authored by Yifei Feng<fengyifei2026@gmail.com>
Committed by gunan<gunan@google.com>:
Update docker to cudnn6. (#10307)
* Update docker to cudnn6.
* Update Dockerfile.gpu
* Add --expunge to bazel clean to make cuda_configure run again and update TF_CUDNN_VERSION.
* Remove expunge and set CUDA and CUDNN version default in configure.
* Update configure
* Only set --action_env once
* Update prints for default version.
---
Commit 232e9d86d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
tf_workspace() claims that the tf_repo_name argument is unused.
temp_workaround_http_archive still requires it.
This change silences the spurious message.
PiperOrigin-RevId: 158089834
---
Commit cc1a02d37 authored by Francois Chollet<fchollet@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add fp16 support to convolutional layers that support it.
PiperOrigin-RevId: 158086284
---
Commit 7d3fbba48 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Extracted dnn estimator testing utils to be reused by dnn-linear-combined.
Added tests for dnn part of dnn-linear-combined estimator.
PiperOrigin-RevId: 158084898
---
Commit 9d12c629c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Refactor the document and some polishment
PiperOrigin-RevId: 158083952
---
Commit 134138299 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Corrected comment: import_scoped_metagraph does not return a Saver.
PiperOrigin-RevId: 158082288
---
Commit a58553e4d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add function in shape inference to try to infer output tensor content based on
the input shapes of the op. In some cases (E.g: shape), knowing the shapes of
the input is all that is necessary to infer the content of the output tensor.
This improves shape inference.
PiperOrigin-RevId: 158079306
---
Commit 0cc851c08 authored by Yuefeng Zhou<yuefengz@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Call maxcut algorithm in the model_based_cost_estimator.
PiperOrigin-RevId: 158078511
---
Commit 7d76a90be authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add question marks next to items in the graph legend.
PiperOrigin-RevId: 158076005
---
Commit 68fdb7628 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add DNNLinearCombinedClassifier.
PiperOrigin-RevId: 158075939
---
Commit 3d52e4cb9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix create_meta_graph to respect an empty collection_list.
PiperOrigin-RevId: 158073112
---
Commit 54ccc3e5a authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add module-scoped HLO dataflow analysis.
This is the first step to replacing TuplePointsToAnalysis with a global, module-scoped analysis. This dataflow analysis identifies all values and their defs and uses in the XLA graph. The analysis is currently unused. Follow up CLs will add buffer alias analysis using this dataflow analysis, and incrementally switch the transformation passes (for example, CopyInsertion) to use these new module-scoped analyses.
PiperOrigin-RevId: 158067910
---
Commit 93c57c6e4 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Handle control flow logic properly:
* Don't fold enter/exit nodes since that can interact badly with frames
* Create proper control dependencies on switch nodes
PiperOrigin-RevId: 158066691
---
Commit 9e6899720 authored by Jingyue Wu<jingyue@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[SE] Add cudnnTransformTensor to StreamExecutor.
PiperOrigin-RevId: 158062553
---
Commit 827874c30 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
In the CUDA path of depthwise_conv2d, add a fast NCHW backward input convolution for images smaller than 16x16.
PiperOrigin-RevId: 158061669
---
Commit bee26215c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Speed up multinomial_op on CPU by using a vectorized Eigen expression and avoiding unnecessary casts.
Benchmark with AVX+FMA enabled:
Run on <redacted> (12 X 3492 MHz CPUs); 2017-06-05T12:54:07.881672447-07:00
CPU: Intel Haswell with HyperThreading (6 cores) dL1:32KB dL2:256KB dL3:15MB
Benchmark Base (ns) New (ns) Improvement
------------------------------------------------------------------
BM_Multinomial_cpu_1_10000_4 250817 172953 +31.0%
BM_Multinomial_cpu_1_10000_128 273834 187552 +31.5%
BM_Multinomial_cpu_1_10000_10000 1174175 1130778 +3.7%
BM_Multinomial_cpu_1_100000_4 2040741 1276761 +37.4%
BM_Multinomial_cpu_32_10000_4 10221765 4498666 +56.0%
BM_Multinomial_cpu_32_10000_128 10638159 4994754 +53.0%
BM_Multinomial_cpu_32_100000_4 100790019 44193314 +56.2%
BM_Multinomial_cpu_128_100000_1 431269640 182506078 +57.7%
PiperOrigin-RevId: 158061480
---
Commit 515b3ac67 authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add Clutz to TensorBoard build
This is so we can get JavaScript protobufs. This CL also improves the
web_aspect and makes some peculiar Closure Compiler errors go away
relating to externs.
PiperOrigin-RevId: 158061198
---
Commit 0df6760fe authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added a test to make sure that graph properties for variables are properly
reported
PiperOrigin-RevId: 158053084
---
Commit 2ccfe8e76 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added a new method to extract the graph properties from a cost graph without
having to run the model. This will simplify the process of creating regression
tests
PiperOrigin-RevId: 158050327
---
Commit 27f1b80c2 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixes memory leak in py_func when functions return unwrapped strings.
PiperOrigin-RevId: 158046530
---
Commit cf238e1f2 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix memory leak in python caused by @tf_should_use.
The issue is that python's GC has trouble collecting objects with __del__ methods.
The solution is two pronged:
* Keep track of usage state outside of the class, via a dict mapping
id(object) => state
* Remove __del__ (this was the source: python's GC couldn't collect wrapped
objects), and instead use weakref.finalize to emit warnings just as the object
is being garbage collected.
* Added tests for garbage collection [they were failing before i fixed the issue]
PiperOrigin-RevId: 158042388
---
Commit e6f581863 authored by Bo Wang<david.b.wang@gmail.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
New reader for LMDB databases (#9950)
* Add LMDBReader op and test case
* Add testcase to load LMDB from a folder
* Add tensorflow/core/lib/lmdb/testdata/data.mdb
* Add EOF test
* Add license export
* Blacklist the test data in pip_smoke_test.py
* Address issues with respect to review
* Add LICENSE to BUILD rules
* Remove the prefx of LICENSE
* Wrap key with compat.as_bytes()
* Fixed a compilation flag
* Improve BUILD rules
* Support LMDB build in cmake
* Fix BUILD file format with buildifier
* Add fake unistd.h for lmdb to build on Windows
* Avoid building lmdb tools which depends on unistd.h
* Fix the string encoding issue in Python3
* Update lmdb library name in CMakeList.txt
---
Commit cc411f938 authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
When converting the layout of Conv2DBackpropInput, we need to permute one of
its inputs, which is a constant node. We permute a copy of this node, instead of the
original node, because the original node may be used as input to other nodes.
This kind of sharing of const node could arise if the graph is pre-optimized by common
subexpression elimination, which is part of the L1 optimizations in
TensorFlow.
PiperOrigin-RevId: 158037552
---
Commit 88bdb6fca authored by Dandelion Man?<dandelion@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove all remaining references to non-public TF modules from TensorBoard.
I deleted the PluginAssetUtil tests because that code is deprecated.
I'll later add manual testing for backcompat in the text plugin.
PiperOrigin-RevId: 158037466
---
Commit 6c531eb2f authored by Francois Chollet<fchollet@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add file hash to Keras Boston Housing dataset to force cache update.
PiperOrigin-RevId: 158036587
---
Commit afdc38cd3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove deprecated resource handle functions in InferenceContext.
PiperOrigin-RevId: 158034419
---
Commit 9f932e6ce authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Avoid parsing a rendezvous key for Send/Recv ops outside a loop.
For such ops, the rendezvous key will be constant, because
`ctx->frame_iter()` will always evaluate to `{0, 0}`. Benchmarking
reveals that this can save between 1 and 2 microseconds per Send or
Recv op execution. The optimization applies to all cross-process,
inter-device, and intra-device (host-to/from-device memory) Send/Recv
ops.
PiperOrigin-RevId: 158032522
---
Commit cc2dd4ac8 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
tfdbg: dump debug data from different devices in separate directories
Fixes: #7051
wherein TFDBG failed to load the data dump from a Session.run() involving multiple GPUs.
The root cause of the bug was that TFDBG previously assumed that node names are unique across all partition graphs. This is however not the case when multiple GPUs exist. The Send/Recv nodes in the partition graphs of the GPUs can have duplicate names. There will potentially be other cases like this in the future due to other reasons (e.g., distributed sessions and/or graph optimization).
This CL relaxes this assumption, by dumping the GraphDef and tensor data from different devices into different sub-directories under the dump root directory.
PiperOrigin-RevId: 158029814
---
Commit a5909d643 authored by Toby Boyd<tobyboyd@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixed triggering create device multiple times
PiperOrigin-RevId: 158025196
---
Commit 504a307b7 authored by Martin Wicke<wicke@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make sure that Adam colocates ops with a consistent variable across workers.
PiperOrigin-RevId: 158022292
---
Commit 69ba4d3d4 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix #10371
cpuinfo.get_cpu_info() doesn't seem to include the l2_cache_size key on some
architectures.
PiperOrigin-RevId: 158021008
---
Commit a51a9846c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Performance-related tweaks: Don't copy loop variables; remove ineffective std::move casts.
PiperOrigin-RevId: 158017670
---
Commit 009789f74 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Allow 0-sized slices in DynamicSlice and DynamicUpdateSlice; add tests.
PiperOrigin-RevId: 158015870
---
Commit 48a4853eb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Miscellaneous cleanups
PiperOrigin-RevId: 158012131
---
Commit 379ddde24 authored by Chris Song<sjhshy@gmail.com>
Committed by Chris Song<sjhshy@gmail.com>:
Fix misspells.
---
Commit a0a76da97 authored by Lakshay Garg<lakshay.garg.1996@gmail.com>
Committed by Lakshay Garg<lakshay.garg.1996@gmail.com>:
Fixed typo in code
---
Commit 7ffc35732 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add support for bools in matrix_diag, matrix_diag_part, matrix_set_diag, matrix_band_part.
PiperOrigin-RevId: 157939272
---
Commit edf3d5dbe authored by Darren Garvey<darren.garvey@gmail.com>
Committed by Darren Garvey<darren.garvey@gmail.com>:
configure: Fix default path when enabling MPI.
Correct showing what the default path is when mpi is installed.
---
Commit aad2e3daf authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
In the CUDA path of depthwise_conv2d, add a fast NCHW forward convolution for images smaller than 16x16.
PiperOrigin-RevId: 157915637
---
Commit 5cf08d9cb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Drop blockDim.y for the equivalent in_cols, and slightly improve naming (use 'pixels' instead of 'size' for height*width numbers).
PiperOrigin-RevId: 157906773
---
Commit 563f05ff6 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf contrib seq2seq] Expand tile_batch to handle nested structures.
This allows it to properly tile the initial wrapper state when using
BeamSearchDecoder with AttentionWrapper. Unit tests updated to show this use.
PiperOrigin-RevId: 157903115
---
Commit 1234e2dda authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix Plottable definition
On Mac OS the build directory in the Node package conflicts with BUILD.
PiperOrigin-RevId: 157899970
---
Commit bb7a8d8e7 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Don't use the _output_shape attribute in the op_level_cost_estimator since
there is no guaranty that it will be present or accurate.
PiperOrigin-RevId: 157898989
---
Commit 6f4204c3d authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix TensorBoard SHA256 in cmake
PiperOrigin-RevId: 157897958
---
Commit c9d2f432b authored by Justine Tunney<jart@google.com>
Committed by Justine Tunney<jart@google.com>:
Fix TensorBoard SHA256 in cmake
---
Commit 1c70fb686 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add training test for multi classes (n>2) linear classifier.
PiperOrigin-RevId: 157896002
---
Commit 675d36be0 authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add fused batch norm to tf.layers.
PiperOrigin-RevId: 157893874
---
Commit f37d0ea47 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change -- first draft docs
PiperOrigin-RevId: 157891937
---
Commit 9b8f6113b authored by Zongheng Yang<zongheng@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
tensor_bundle: fix that the read path forgets to cache file handles.
In a case where a reader is geographically far from the file, this change
achieves a speedup of end-to-end checkpoint restore by 5.8x.
PiperOrigin-RevId: 157889659
---
Commit 0c92dada6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use inplace Cholesky factorization and solves to speed up and reduce memory usage in matrix_solve_ls.
Check succes before copying outputs in cholesky_op.
PiperOrigin-RevId: 157887564
---
Commit a4caeb2ea authored by William Chargin<wchargin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Extract the graphs dashboard to a plugin
This completes the great plugin migration!
The graphs plugin is somewhat different from the plugins considered so
far. First, it exposes two kinds of data: graph data and run metadata.
We elect to put both sources of data under the domain of the graphs
plugin for now, because it's not clear that the run metadata would be
useful for anything else. Second, the graph data really has no use for
"tags": a run either has an associated graph or it does not. Thus, we
expose an endpoint /data/plugin/graphs/runs that is different in format
from the /tags routes exposed by other plugins (it returns just a list
instead of a run-to-tag mapping).
This change removes a bunch of tests from application_test.py. The tests
cover the compresion behavior of the graph endpoint, but the graph
endpoint doesn't have any special logic in the way of compression. Thus,
the tests are, apparently, testing that werkzeug (or whatever is
relevant here) provides good compression defaults. This isn't
necessarily a bad idea, but it shouldn't be coupled to the graph tests.
To get test data that includes run metadata, you can run this script:
https://raw.githubusercontent.com/tensorflow/tensorflow/326942394e69074d50d5889218a24c9371eff259/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py
PiperOrigin-RevId: 157884714
---
Commit 05a6a13f7 authored by Gunhan Gulsoy<gunan@google.com>
Committed by gunan<gunan@google.com>:
Make sure all writer caches are closed before deleting directories in dnn_test.
---
Commit d0e761f8d authored by Gunhan Gulsoy<gunan@google.com>
Committed by gunan<gunan@google.com>:
Disable another test that uses matrix_set_diag on windows.
---
Commit 8939b8562 authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.contrib.data] Re-implement IteratorGetNext as an AsyncOpKernel.
This prevents the op from consuming an inter-op thread pool thread
when blocked, and fixes a potential deadlock when many IteratorGetNext
ops are blocked. Fixes #10369.
PiperOrigin-RevId: 157878885
---
Commit 9e25c68ad authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add loss_only_head to hold additional loss terms for multi_head setup
PiperOrigin-RevId: 157875934
---
Commit 7cdcd0cca authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Filter more op types that don't benefit from constant folding.
PiperOrigin-RevId: 157875168
---
Commit 366990d92 authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Fix a subtle issue in copy_insertion due the interaction between copy
overriding logic and RecordIndicesToColocatingBuffers:
- When building instructions ShapeTree to be copy overriden, it is possible
that we create a single kCopy for two identical instructions. An example can
be:
%tuple.19 = tuple(%constant.4, %constant.1793, %constant.1793)
where it is used in a while.init operand, and constant.1793 is read-only within
the loop and also used by another while loop. The copy overriding pass will then
create the following (logical, not finalized) tuple:
%tuple.19 = tuple(%constant.4, %copy.5, %copy.5)
- In the subsequent pass RecordAmbiguousOrNonDistinctIndices, to add copies to
ensure point_to set is distinct, the duplicate %copy.5 are ignored because they
are not yet finalized, and these indices (1 and 2 in the example) are still
marked as to-be copied.
Therefore distinctiveness is lost.
This fix applies to the override building stage, to explicitly avoid creating
shared copies for non-distinct buffers.
PiperOrigin-RevId: 157872231
---
Commit f4b8d21b8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change function parameters to references to avoid copying, or otherwise move from function parameters when moving reduces the amount of copying.
PiperOrigin-RevId: 157867333
---
Commit 3eee61caa authored by Drew Hintz<pushespretn@gmail.com>
Committed by GitHub<noreply@github.com>:
fix quotes in example code from ? to "
---
Commit 4905c0eae authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove TODO - the new tolerance is okay to keep.
PiperOrigin-RevId: 157861020
---
Commit 55f6b6ff1 authored by David Soergel<soergel@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add explicit SparseTensor support to SignatureDef.
PiperOrigin-RevId: 157860466
---
Commit 79099d677 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Removes default thresholds from BinaryLogisticHead and adds predict and evaluate tests for DNNClassifier.
PiperOrigin-RevId: 157856471
---
Commit 54595f0f3 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds the training test for LinearClassifier with n_classes=2.
PiperOrigin-RevId: 157855473
---
Commit cd6c02985 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add 'streaming_curve_points' metric which returns curve [ROC, PR] approximation at specified number of points.
PiperOrigin-RevId: 157851535
---
Commit 0f2db7391 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Split union-find implementation in mark_for_compilation_pass.cc into a separate library, make it more generic.
PiperOrigin-RevId: 157850985
---
Commit d5421cf58 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add additional concat test.
PiperOrigin-RevId: 157844113
---
Commit f661128db authored by Geoffrey Irving<geoffreyi@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unused overloads of SummarizeGraphDef and EqualGraphDef
PiperOrigin-RevId: 157843404
---
Commit a56d59a84 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Set flow to a value during TensorArray creation,
Re-enable tensor_array_ops_test in msan.
PiperOrigin-RevId: 157841785
---
Commit edcc5cc13 authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add manual test runner for vz_sorting
PiperOrigin-RevId: 157841098
---
Commit 3f6404f20 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Assign a max height of 800px to images in the image dashboard.
The user could always expand to actual dimensions if need be.
PiperOrigin-RevId: 157838046
---
Commit c6ea6972a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove debugging LOG(INFO) from previous change.
PiperOrigin-RevId: 157837305
---
Commit 07d39f28e authored by freedom" Koan-Sin Tan<koansin.tan@gmail.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
make gcc-5 on Ubuntu 16.04 happy (#10385)
gcc-5 complains of ambiguity and refuses to go when doing something
like 'bazel build -c opt tensorflow/...'
---
Commit ac66be783 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Minor cleanup: Remove unused BUILD dependencies and unnecessary code.
PiperOrigin-RevId: 157837211
---
Commit 4161ccc8e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adjust tolerance on dirichlet_multinomial test.
PiperOrigin-RevId: 157834660
---
Commit 43c0f52f1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix off-by-one error in BoolVector(begin, end) constructor.
PiperOrigin-RevId: 157833086
---
Commit 419d437ba authored by Lakshay Garg<lakshay.garg.1996@gmail.com>
Committed by Lakshay Garg<lakshay.garg.1996@gmail.com>:
Fixed typo in code comment
---
Commit 07710014d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix device colocation for KMeans in case of multiple parameter servers.
PiperOrigin-RevId: 157795360
---
Commit b659bc39f authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Simplify TensorBoard build
- Remove tensorboard_typescript_genrule
- Remove tensorboard_typescript_bundle
- Introduce ts_web_library Skylark rule which supports seamless
TypeScript compilation.
- Use Closure Compiler in semi-advanced mode to compile JavaScript.
This is done in a way that preserves <script> tag placement, which
causes pages to load faster and avoid FOUC, thereby making it a
better solution than the existing vulcanize.
PiperOrigin-RevId: 157794795
---
Commit 0503ce09c authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Wipe out previous shape inference result when importing a grappler item
Run graph optimizations last: since they can be expensive it's best to filter invalid items first.
PiperOrigin-RevId: 157792834
---
Commit 9ae941c4a authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Turn reductions along an empty set of dimensions into identity nodes.
PiperOrigin-RevId: 157792209
---
Commit 69075f354 authored by Yangzihao Wang<yangzihao@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add functional support for cudnnConvolutionBiasActivationForward().
PiperOrigin-RevId: 157788425
---
Commit 7d7a40309 authored by William Chargin<wchargin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Extract the distributions dashboard to a plugin
This continues the great plugin migration. The distributions plugin was
similar to the histograms plugin, but it also purported to allow CSV
download like the scalars plugin. However, the existing implementation
of this was flawed, and would always yield a 500 on current prod [1]
(unless there were actually no data). This indicates that no one is
actually using it---probably because there isn't a relevant button on
the frontend, anyway!---so I just removed it.
This also changes most frontend occurrences of "compressedHistograms"
to "distributions" while we're at it.
[1]: Due to the reference `value.rank_in_bps` in the handler
`_serve_compressed_histograms`; this field does not exist and throws an
`AttributeError`.
PiperOrigin-RevId: 157787156
---
Commit 23cdf96b8 authored by Brennan Saeta<saeta@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Re-enable session_test.py
A number of CL's have split up session_test.py to be a bit smaller. As a
result, this CL will re-enable the session_test to see if it remains flaky.
PiperOrigin-RevId: 157786407
---
Commit d741d81c5 authored by Dandelion Man?<dandelion@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Expose tf.test.StubOutForTesting in the tf testing api
Also redirect TensorBoard usage to use that endpoint.
This is part of my ongoing effort to have TensorBoard only
depend on TensorFlow via its public api, so that it can
be split into a project with a fast external build.
PiperOrigin-RevId: 157784552
---
Commit 40411cd5c authored by Dandelion Man?<dandelion@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Refactor projector plugin to only use tf public methods.
Remove all reference to the PluginAsset system, which is deprecated.
Part of an ongoing effort to have TensorBoard only consume the public
TensorFlow api.
PiperOrigin-RevId: 157784016
---
Commit a65a70ea5 authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix pip tests under contrib/text
PiperOrigin-RevId: 157783952
---
Commit fb4bc806a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix flakiness in GpuMultiSessionMemoryTest.
PiperOrigin-RevId: 157781368
---
Commit f7de292df authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update placeholder nodes' shapes in the GraphDef to reflect manually specified values for incomplete placeholder shapes. Previously, these overrides were only specified in the feed nodes, which improves estimates when using dynamic shapes but not when using static shapes. With this change, static shapes also benefit.
PiperOrigin-RevId: 157780800
---
Commit eebd44123 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a frontend method for retrieving numeric alerts from the debugger plugin.
This route responds with a list of alerts (occurrences of bad values) in ascending timestamp order.
PiperOrigin-RevId: 157780270
---
Commit 5bc685d7f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] If an op has a single "large" operand, we want to fuse this op into some of its consumers, even if we can't fuse into all of them.
PiperOrigin-RevId: 157779106
---
Commit 2ee09b873 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Various improvements to ShapeTree.
Add support for holding non-copyable types, operator==, and a
CopySubtreeFrom method for copying a subtree from one ShapeTree to
another.
PiperOrigin-RevId: 157777636
---
Commit 4f3ae7699 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add beam_search kernels used by BeamSearchDecoder to tensorflow.contrib.
PiperOrigin-RevId: 157775011
---
Commit 6b16c33b3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make audio-related logic use the audio plugin.
Previously, fetching audio and related data from TensorBoard used handlers within application.py. We now remove those handlers in favor of routes offered by the audio plugin. ML Dash is updated as well.
PiperOrigin-RevId: 157774953
---
Commit 8032e1f75 authored by Geoffrey Irving<geoffreyi@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make function instantiation use std::vector<NodeDef> instead of GraphDef
It's about to turn into std::vector<NodeInfoPtr>; this change gets us partway there.
RELNOTES: n/a
PiperOrigin-RevId: 157771141
---
Commit 2e44be35d authored by Vinu Rajashekhar<vinuraja@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds a protected DeleteResourceMgr(...) method in Device.
PiperOrigin-RevId: 157770378
---
Commit cc346e690 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Strip the :x suffix when generating control inputs from input names
PiperOrigin-RevId: 157770257
---
Commit d6fe47af5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use tensorflow::StringPiece in literal_util.
Use template for RepeatedField assignment.
PiperOrigin-RevId: 157765477
---
Commit 7866fa01b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
This change significantly reduces time and resources used to load large TensorFlow graphs.
For a real-world large graph (13k nodes, 20k edges), this change:
* reduces all heap allocations by 19%
* reduces retained (final) heap allocations by 2.2%
* reduces CPU time by 11.2%
In most TF graphs, the set of unique values set to Node::assigned_device_name() is quite small. This change adds an interning table to the Graph object, which contains all of the unique values used for Node::set_assigned_device_name(), as well as a look-up table. This is the main source of the reduction in retained heap memory; nearly all nodes are assigned to just one or two unique devices.
This change removes the "string assigned_device_name_" field from the Node class, and replaces it with "int assigned_device_name_index_". However, because you need both the index and the name table to get the actual value, the Node::assigned_device_name() accessor needs access to the parent Graph. This requires adding a "Graph* graph_" field to the Node class.
In the future, if all users of this property are converted to use Graph::assigned_device_name(Node*), then the Node::graph_ field can be deleted, and the space reclaimed. However, doing so is out of the scope of this CL, and even with this new pointer field, the Node class is smaller than it was before, so this is still a net win.
The placement algorithm in simple_placer.cc is one of the main accessors of the Node::assigned_device_name property. This CL contains significant changes to simple_placer.cc, which directly take advantage of the fact that the property is an index into a name table, rather than treating it simply as a string. Many temporary allocations are also removed, which is the main source of the reduction in total heap allocations.
This CL also contains a few changes that remove short-lived allocations in unrelated code, such as the changes in op.cc/h, costmodel.cc, etc. It is extremely easy in C++ to accidentally allocate memory, especially when implicit conversions and copy constructors allocate memory.
All of the changes in this CL were motivated by empirical measurement, using CPU profiling and heap profiling.
PiperOrigin-RevId: 157762909
---
Commit fdffafbc1 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add QueueDequeueUpTo to the list of dequeue ops
PiperOrigin-RevId: 157760201
---
Commit 7ad0d0698 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add type error to start_queue_runners if given session is not a `tf.Session`. Due to semver, we suppress the error if a MonitoredSession is provided.
PiperOrigin-RevId: 157748375
---
Commit 7106f9fac authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Implemented an initial version of virtual scheduler unit test.
PiperOrigin-RevId: 157746305
---
Commit b020db0c6 authored by Andrew Harp<andrewharp@google.com>
Committed by Andrew Harp<andrewharp@google.com>:
revert public visibility
---
Commit 5b05728c2 authored by Andrew Harp<andrewharp@google.com>
Committed by Andrew Harp<andrewharp@google.com>:
visibility workaround 3
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Commit 15a740ebb authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update and Move DNNLinearCombinedRegressor to estimator/canned.
PiperOrigin-RevId: 157744087
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Commit d29bbeca3 authored by Dandelion Man?<dandelion@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix outdated code ref in TensorBoard README, add link to SO question.
PiperOrigin-RevId: 157743374
---
Commit 9fc164225 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix index_table_from_file to allow vocabulary_file be a Tensor
PiperOrigin-RevId: 157740677
---
Commit 0aa3e0194 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change
PiperOrigin-RevId: 157740660
---
Commit 02ac85399 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Introduce new class Literal to replace protobuf Literal.
This renames the existing Literal message to LiteralProto and introduces a new
C++ class named Literal to replace it.
The LiteralProto is only used at RPC boundaries, or when protobuf-specific
functionality is required. The Literal class offers a 'ToProto' function to
generate a new LiteralProto message when necessary.
Currently, all the static functions in class LiteralUtil, just forward to their
counterparts in class Literal. This will change in a future CL.
Class Literal implements all the buffers as std::vectors. The only exception
is preds(), which given the std::vector<bool> representation, makes it unusable
for the semantics we require (it's not possible to get the address of the
underlying vector, for instance).
The CL adds a BoolVector class to work around that issue.
In future CLs, the std::vector representation may be changed to something more
efficient, if needed.
PiperOrigin-RevId: 157739125
---
Commit 207203253 authored by gunan<gunan@google.com>
Committed by GitHub<noreply@github.com>:
Python 3.6 support on windows. (#10356)
* Python 3.6 support on windows.
* Fix typo in README.md
* Make environment configurable for windows gpu build.
---
Commit 2b75a9a6e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 157734029
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Commit f60b6bdcb authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a warning to documentation of MonitoredSession.
PiperOrigin-RevId: 157728225
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Commit eb10a4c49 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Preallocate vector storage when the ultimate vector size is known in advance
PiperOrigin-RevId: 157724431
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Commit ce32228c4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add release notes for Intel MKL integration.
PiperOrigin-RevId: 157722003
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Commit a23255bc0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds missing group OP to benchmark
PiperOrigin-RevId: 157716500
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Commit d3e840a6c authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Disable writing of compressed checkpoints.
Snappy compression (and decompression) was enabled after the
1.1 release (in commit 63b2f999d3f22cfe915b89103faa1b0a1b1b7617).
This means that checkpoints produced by the 1.2.0 release candidates
will cause TensorFlow 1.1 (and prior) binaries to crash as they
CHECK fail when trying to load snappy-compressed tables.
To ease transition, disable writing of compressed checkpoints in
1.2.0 for now.
Reconsider this in the next release.
PiperOrigin-RevId: 157675189
---
Commit 6db400bbc authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Refactoring Python op code generation.
PiperOrigin-RevId: 157675126
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Commit d9620cab8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add flag to determine whether to do L1 optimizations and inline functions. Default is to do them. In tf_optimizer don't inline or do l1 optimizations.
PiperOrigin-RevId: 157673614
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Commit 25bb504cc authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make a plugin that serves data for the audio dashboard.
Subsequent changes will make TensorBoard use this audio plugin instead of the previous handlers for audio-related data.
PiperOrigin-RevId: 157673132
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Commit 24623653b authored by James Qin<jamesqin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix graph text format serialization
PiperOrigin-RevId: 157669530
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Commit 3aed1735c authored by Andrew Harp<andrewharp@google.com>
Committed by Andrew Harp<andrewharp@google.com>:
visibility workaround 2
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Commit fea90f89d authored by Andrew Harp<andrewharp@google.com>
Committed by Andrew Harp<andrewharp@google.com>:
visibility workaround
---
Commit 732a6b1ae authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Upgrade TypeScript to v2.3.4
PiperOrigin-RevId: 157667511
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Commit 95d90ab2e authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Fixes Split op (#10322)
* [OpenCL] Fixes Split op
Split should alway go through SYCL device
* [OpenCL] Removes half from registred types
---
Commit 963441400 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Extends softmax op to cover double (#10323)
---
Commit a702863e8 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Extends tile ops to int16 and int32 (#10328)
* [OpenCL] Extends tile ops to int16 and int32
* [OpenCL] Extends tile_ops to cover bool, uint8, int16, int64
---
Commit 75385814f authored by cxx<cxxgtxy@gmail.com>
Committed by cxx<cxxgtxy@gmail.com>:
Fix comments error in mnist_replica.py where only one ps is used with two works by default.
---
Commit 23364e2c6 authored by Andrew Harp<andrewharp@google.com>
Committed by Andrew Harp<andrewharp@google.com>:
buildifier fix
---
Commit e5088cb82 authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix discrepancy between measured and analytical cost graph. Use tf_cuda_library for utils.
PiperOrigin-RevId: 157660745
---
Commit 787381ca5 authored by Brennan Saeta<saeta@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Split up session_test.py -> session_clusterspec_prop_test.py
session_test.py has gotten very large. Additionally, recently it has become
flaky. In order to both (1) improve overall code health, and (2) to facilitate
root-causing the test flakiness, this CL begins to split apart session_test
into focused subsets.
I've suffixed the scoping of the session_test in order to preserve filesystem
sort-order grouping.
PiperOrigin-RevId: 157658981
---
Commit b09932d74 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added PlaceholderWithDefault to the list of known placeholder types
Use PartialTensorShape instead of TensorShapes to better handle partially known
shapes
PiperOrigin-RevId: 157657664
---
Commit 0462416f6 authored by Dandelion Man?<dandelion@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add make_ndarray, tensor_proto, and MetaGraphDef to tf api.
Since TensorProtos are part of the TensorFlow API, it makes sense
to also include the methods that generate and parse them.
Similarly, we write out MetaGraphDef protos in the summary writer,
so we should provide the proto as well.
This is part of an ongoing effort to have TensorBoard only consume
TensorFlow methods through the public api.
PiperOrigin-RevId: 157657564
---
Commit 458f94c12 authored by Wei Ho<weiho@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Open-source skip-gram ops
PiperOrigin-RevId: 157655970
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Commit faac0331c authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Introduce tensorboard_zip_file build rule
This rule can depend on web_library or tensorboard_html_binary. In
both cases it will create a .zip file containing all the transitive
web server paths. This can be used to deploy static assets to web
servers.
A small change was also made to Vulcanize to support path overriding.
PiperOrigin-RevId: 157655047
---
Commit 7ed44f4c9 authored by Brennan Saeta<saeta@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Split up session_test.py -> session_partial_run_test.py
session_test.py has gotten very large. Additionally, recently it has become
flaky. In order to both (1) improve overall code health, and (2) to facilitate
root-causing the test flakiness, this CL begins to split apart session_test
into focused subsets.
I've suffixed the scoping of the session_test in order to preserve filesystem
sort-order grouping.
PiperOrigin-RevId: 157651813
---
Commit 3c7ac46ae authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Teach Executable to do its own profiling (patch 4/4).
This CL removes the xla::Service stub for ExecuteOnStreamWrapper so the users call the xla::Executable version directly, and simplifies the function API to simply accept "arguments" as a parameter (with a templated type) rather than requiring the user to capture it into a lambda around the relevant Executable::ExecuteOnStream method.
PiperOrigin-RevId: 157651740
---
Commit 626f95ab9 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Don't enforce that all nodes in an encapsulated subgraph are on the same device.
Use the assigned device rather than the user-requested device when converting a Graph to a FunctionDef.
PiperOrigin-RevId: 157648977
---
Commit 414470329 authored by Jacques Pienaar<jpienaar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Guard stream pool with mutex.
A data race can occur while populating the map.
PiperOrigin-RevId: 157647183
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Commit ccdb30763 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Additional colocation options and bugfixes for TensorArray
* colocate_with is now set properly when a TensorArray is passed through a
while_loop
* added a new argument, "colocate_with_first_write" (default: True; this is
the current behavior). If False, the TensorArray is simply placed on the
device from the context it's constructed in, and no colocation constraints
are added.
PiperOrigin-RevId: 157643133
---
Commit 03fc7022b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 157642677
---
Commit 41b87d6ce authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a new attribute narrow_range to FakeQuant* operations. It quantizes into range [1; 255] instead of [0; 255].
PiperOrigin-RevId: 157641054
---
Commit c048e2938 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds support to non-placeholder inputs in _graph_to_function_def.
Specifically, supports input ops with more than one output tensor.
PiperOrigin-RevId: 157640908
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Commit d310de4fa authored by Brennan Saeta<saeta@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Split up session_test.py -> session_list_devices_test.py
session_test.py has gotten very large. Additionally, recently it has become
flaky. In order to both (1) improve overall code health, and (2) to facilitate
root-causing the test flakiness, this CL begins to split apart session_test
into focused subsets.
I've suffixed the scoping of the session_test in order to preserve filesystem
sort-order grouping.
PiperOrigin-RevId: 157640788
---
Commit 8e868cf6a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unused arguments to call_cpp_shape_fn.
PiperOrigin-RevId: 157640125
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Commit 9ddbf31fe authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use unnamed namespace to effect internal linkage, replace string constructors with array-deducing helper function
PiperOrigin-RevId: 157636308
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Commit 88ffe6276 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Increase cholesky_op_test to medium, bump shard_count 1 more.
PiperOrigin-RevId: 157635774
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Commit bef563dc8 authored by Benjamin Kramer<kramerb@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Don't add constraints for computations we're not currently looking at.
TuplePointsToAnalysis is computed globally per module, so we add all
unconstrained buffers in that module, even if it's outside of the computation
we're currently running on. Then we proceed to propagate default layouts to all
those buffers and then throw the constraints away because they don't affect any
instruction in the current computation.
PiperOrigin-RevId: 157635564
---
Commit a980aead8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use test_adjusted_name when making the mangled_test_name in
run_and_gather_logs_lib.py, to avoid duplicate file names when the same test is
run on multiple GPUs.
PiperOrigin-RevId: 157630193
---
Commit 0a84cfd58 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 157629497
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Commit 6882effb8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make single-parameter constructors explicit
PiperOrigin-RevId: 157628970
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Commit 0b8070253 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Support negative axis for Split op
PiperOrigin-RevId: 157628162
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Commit 289e7bf5b authored by gunan<gunan@google.com>
Committed by GitHub<noreply@github.com>:
Fixes and improvements to cmake windows build. (#10354)
* Disable linalg ops tests on windows.
* Do not print the full source code path for logs on windows.
---
Commit bc236cfc3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Passes classification head to LinearClassifier.
PiperOrigin-RevId: 157624020
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Commit cebd7e246 authored by Luke Iwanski<luke@codeplay.com>
Committed by Shanqing Cai<cais@google.com>:
[OpenCL] Cleans debug ops (#10334)
* [OpenCL] Cleans debug ops
* Acts on feedback from #10334#discussion_r119452513
* Acts on #10334#discussion_r119459463
---
Commit fd6c3c4f1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixes flaky test in dnn_linear_combined_test.
PiperOrigin-RevId: 157622951
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Commit c9cc388dc authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Avoid CHECKs in BundleReader, propagate errors instead.
Motivation:
We'd like to evolve the checkpoint format over time (e.g., enable
different types of compression). Without this change, a TensorFlow
version that encounters a format that it doesn't understand would CHECK fail
with an unhelpful error message.
With this, it propagates a clearer error message up, giving the user some
hints about what could be wrong.
I don't have a unittest for this - I thought about writing a bundle and
then strategically corrupting the bytes on disk before reading it back,
but that seems a bit much. The intention of this change is to enable
graceful reporting of forward compatibility breakages. Ideas for an
appropriate unittest are appreciated.
PiperOrigin-RevId: 157620358
---
Commit ee05b8b69 authored by Wei Ho<weiho@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix to remove TF op usage outside of the initializer fn (due to deferred execution of initializer fn, this prevent issues with graph mismatch).
PiperOrigin-RevId: 157620177
---
Commit e8d17ea8c authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Materialize shapes that are known at graph construction time into constants
that can be folded
PiperOrigin-RevId: 157619380
---
Commit dc0427d48 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Directly depend on the used libraries
Do not rely on transitive dependencies.
PiperOrigin-RevId: 157618184
---
Commit 964d1a509 authored by Yuan Yu<yuanbyu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix a bug that an erroneous control edge can be introduced when loops are nested in control dependency context.
PiperOrigin-RevId: 157616919
---
Commit 2de94bbb8 authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add an option to set the "generate HLO graph" regex without a flag.
Pipes the option through xla.proto ExecutionOptions, to HloModuleConfig, which
can then be accessed throughout the compiler.
PiperOrigin-RevId: 157615458
---
Commit d3c0482e6 authored by My name is<raviqqe@gmail.com>
Committed by gunan<gunan@google.com>:
Fix a typo in export_output.py (#9975)
---
Commit 0c75d9f52 authored by ddurham2<ddurham@davyandbeth.com>
Committed by gunan<gunan@google.com>:
Adding lost documentation to tf.abs from the old tf.complex_abs when it learned how to work on complex data. (#9954)
---
Commit 84661fa73 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Propagate control dependencies during constant folding
PiperOrigin-RevId: 157610040
---
Commit a3520340e authored by gunan<gunan@google.com>
Committed by GitHub<noreply@github.com>:
Improve windows bazel python test suite. (#10305)
* Improve windows bazel python test suite.
- Create new tags, no_windows and no_windows_gpu
- Instead of a separate maintained list, use bazel tags to exclude tests.
- Tag all the python tests that are known to have issues in windows.
* Also blacklist neon_depthwise_conv_ops_test in windows.
* Only build tests in CPU windows tests.
* Only build tests in GPU windows tests.
* Also disable session_test on windows.
* Only run py tests on windows, and only build tests that are not
disabled.
---
Commit a6f284ca4 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds integration tests for LinearRegressor.
PiperOrigin-RevId: 157604107
---
Commit d21bf7d75 authored by Francois Chollet<fchollet@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Backport changes from Github master.
PiperOrigin-RevId: 157603238
---
Commit 43bfc138c authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix OSS compilation error in tfprof_main.cc
PiperOrigin-RevId: 157602449
---
Commit 904a3d075 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixing issue with cuda compilation related to missing include (exception is only thrown when running with sandboxing on)
PiperOrigin-RevId: 157602401
---
Commit f59203c98 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Shard cholesky_op_test.
PiperOrigin-RevId: 157601172
---
Commit 3fdbb5579 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Merging rc1 back into master.
---
Commit be5d98a8b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds integration tests for DNNClassifier.
PiperOrigin-RevId: 157592010
---
Commit a05de6cd2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change reporting feature importances in RandomForestEstimator to run at the end of training, instead of part of the inference graph.
PiperOrigin-RevId: 157591575
---
Commit e96f1142f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unnecessary casts
PiperOrigin-RevId: 157591439
---
Commit 5f8571a6b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix missing namespace comments
PiperOrigin-RevId: 157591364
---
Commit eeb0b4067 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 157573997
---
Commit 7f9674217 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 157573723
---
Commit 473a590c9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow complex valued input for Cholesky decomposition.
PiperOrigin-RevId: 157572536
---
Commit 2d1860859 authored by Blake Hechtman<blakehechtman@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix test name in array_elementwise_ops_test.
PiperOrigin-RevId: 157552402
---
Commit a7fff05e0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
tfprof multi-step profiling.
This allows users to fill in RunMetadata across different steps.
1. It is useful for RL model which runs a subset of graph each step.
2. It also gets averages of multi-step stats.
PiperOrigin-RevId: 157552388
---
Commit fe589d9e7 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Implementation improvements (#9117)
* OpenCL Improvements
* Registers Scatter and ScatterNd Ops for SYCL
* Registers Stack op for SYCL
* Fixes No sycl buffer found error for debug ops
* Registers MatMul and Transpose Ops to SYCL device for double
* Extends analyzer_cli_test.py test to cover SYCL
* Fixes Transpose Op for double when on SYCL
* Bumps Eigen version to fix double precision issue on SYCL
* Extends SessionDebugTestBase to cover SYCL
* Register SYCL implementations for random ops
* Avoid functions that might not be defined on SYCL device (#51)
* Avoid functions that might not be defined on SYCL device
* Simplify by using Eigen math functions
* OpenCL improvements
- Bumps Eigen Version
- Refactors Ops registration
- Introduces workaround for Const Op related to the difference between
CUDA which uses pointers and OpenCL that uses buffers/accessors
- Extends memory types to cover DEVICE_SYCL as well
- Introduces GetSYCLDevice() method that returns list of supported devices
with GPU device having the highest priority ( doesn't include blacklisted devices )
- ::internal::Transpose -> tensorflow::internal::Transpose in order to
avoid compilation reported error
- re-introduces fix for bugged string replacement causing a lot of compilation
warnings -c -> --include
- Adds sycl_runtime to bazels ARRAY_DEPS
- Replicates TF_CALL_GPU_PROXY_TYPES for SYCL
* [OpenCL] Fixes an issue caused by switch to aligned allocator for sycl buffer (#53)
* [Build] Use gcc/g++ as a host compiler to avoid #8394 (#54)
* [OpenCL] Fixes Scatter Op
* Fix testSimple and testConst in stack_op_test (#3)
* Fix testSimple and testConst in stack_op_test
* Create a specialisation of DoParallelConcatUpdate for SyclDevice and
register it
* Guard all code in TENSORFLOW_USE_SYCL
* Do not use sycl device for int32
* Registration of the Sycl version is now looking like the one for the GPU
* Remove added empty line
* Register batch normalization kernels for OpenCL (#61)
* [OpenCL] RandomGamma has no GPU friendly implementation (#57)
* [OpenCL] Compatibility fixes for TensorFlow 1.1.0-rc1
* [OpenCL] Implements BatchMatmul Op for SYCL
* Lowercase the device name when GPU or SYCL returned
* [OpenCL] kernel_estimator_test.py assertEqual-> assertAlmostEqual due to floating point representation on the device
* [Eigen] Version bump
* GPU device name string manipulation is not needed anymore
* [OpenCL] Adds SYCL to device backwards compatibility
* [OpenCL] Extends core_rnn_test.py to run for SYCL device
* [OpenCL] Minor optimizations for build script
* [OpenCL] Enables skip folder list in build script
* [OpenCL] Fixes ApplyAdamOp for Sycl device
* [OpenCL] SYCL device improvements
* [OpenCL] Fixes debug_ops's SEGFAULT for SYCL device
* [Build] Adds hexagon to skipped folders list
* [OpenCL] Removes EnterLameDuckMode from SYCL device and allocator
* [OpenCL] Registers Unique Op for SYCL device
* [OpenCL][Temporary] Disables tests for SYCL target due to features not being implemented yet
Tests affected:
- tensorflow/contrib/memory_stats/python/kernel_tests/memory_stats_ops_test.py
- tensorflow/contrib/rnn/python/kernel_tests/core_rnn_test.py
- tensorflow/python/kernel_tests/conv_ops_test.py
- tensorflow/python/kernel_tests/depthwise_conv_op_test.py
- tensorflow/python/kernel_tests/pooling_ops_3d_test.py
- tensorflow/python/kernel_tests/pooling_ops_test.py
- tensorflow/python/kernel_tests/scatter_nd_ops_test.py
- tensorflow/python/training/adam_test.py
- tensorflow/python/training/localhost_cluster_performance_test.py
- tensorflow/python/training/training_ops_test.py
* [OpenCL][Temporary] Disables failing tests for SYCL in order to establish regression baseline
Tests affected:
- tensorflow/python/debug/cli/analyzer_cli_test.py
- tensorflow/python/debug/lib/session_debug_testlib.py
- tensorflow/python/debug/lib/stepper_test.py
- tensorflow/python/kernel_tests/unstack_op_test.py
- tensorflow/python/ops/image_ops_test.py
* [OpenCL] Take options.config.device_count() into consideration
* [OpenCL] Fixes compilation warning
* [OpenCL] device:SYCL:0 -> sycl:0
* [OpenCL] Removes unwanted flags in building script
Removes flags given to computecpp that enable SIMD instructions
Removes duplicate flags
* bool -> const bool
* [OpenCL] sycl in test_util.gpu_device_name() -> is_sycl_enabled()
* [OpenCL][Temporary] Disables failing tests for SYCL in order to establish regression baseline
Test affected:
- tensorflow/contrib/stateless/python/kernel_tests/stateless_random_ops_test.py
* Imports test_util from tensorflow.python.framework
* [OpenCL] Fixes formatting in Python code
* [OpenCL] Extends session_test.py to cover SYCL device
* [OpenCL] Cleans singleton class
* [OpenCL] Keeping CUDA happy
* [OpenCL][Temporary] Disables failing tests for SYCL in order to establish regression baseline
Test affected:
- tensorflow/contrib/rnn/python/kernel_tests/core_rnn_cell_test.py
- tensorflow/contrib/seq2seq/python/kernel_tests/beam_search_ops_test.py
* Added support for building with SYCL on ARM.
* Acts on the review feedback from:
- #9117#discussion_r113608975
- #9117#discussion_r113609173
* [OpenCL] Fixes scatter_nd_op_test
* Fixes auto-merge mistake
* [OpenCL] struct SyclDevice -> class SyclDevice
* Revert "[OpenCL] struct SyclDevice -> class SyclDevice"
This reverts commit addd43348c374a5379f67bb1e5ad084715722fc2.
* [OpenCL] Reverting refactoring commit.
As requested in the review #9117#issuecomment-298454466
This change set will be re-introduced in smaller chunks.
* Revert "[OpenCL] device:SYCL:0 -> sycl:0"
This reverts commit cf16e60340b62d16c3764d71b716fe03d35f87a9.
* Revert "[OpenCL] Adds SYCL to device backwards compatibility"
This reverts commit b8401b5164199b7a169be1c1d8dea5001195c390.
* Acts on the feedback from #9117#discussion_r115036905
* control_flow_ops_py_test.py expects device name to be lower cased
* Acts on the feedback from #9117#discussion_r115037222
* Removes debug print
* Removes not needed partial specialisation
* [OpenCL] Registers ScatterNdFunctor for SYCL device
* [OpenCL] Make it compile
* [OpenCL] Follow gpu_device changes
* [OpenCL] Adds cxx_builtin_include_directory for python lib
Fixes bazels missing undeclared inclusions that appeared after
merge with TensorFlow upstream
* [OpenCL] Fixes Constant Op
* [OpenCL] gXX-4.8 -> gXX
* [OpenCL] Removes -D_GLIBCXX_USE_CXX11_ABI=0 as it breaks default compiler setup for Ubuntu 16.04
* Revert "[OpenCL] kernel_estimator_test.py assertEqual-> assertAlmostEqual due to floating point representation on the device"
This reverts commit 06c50c0a485f40c30a436f02c3fa7794e370c49d.
* [OpenCL] CPU allocator is a singleton we should not delete it
---
Commit 7aac2395c authored by Blake Hechtman<blakehechtman@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Merge a copies of copies.
PiperOrigin-RevId: 157549434
---
Commit 37d9d5f0e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add some routines for managing summaries to slim.
PiperOrigin-RevId: 157541902
---
Commit d58cd2962 authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix weblas license mirror URL
PiperOrigin-RevId: 157537115
---
Commit 5c13ee13b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make images-related logic use the images plugin.
Previously, fetching images and related data from TensorBoard used handlers within application.py. We now remove those handlers in favor of routes offered by the images plugin. ML Dash is updated as well.
PiperOrigin-RevId: 157536471
---
Commit 60394a3d1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Reduce size of the no-winograd tests, but still large enough that
ShouldIncludeWinogradNonfusedAlgo returns true.
PiperOrigin-RevId: 157535386
---
Commit 9501c4104 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Replace protobuf CopyFrom with assignment
PiperOrigin-RevId: 157534272
---
Commit 96698f7fd authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf contrib seq2seq] Improve BeamSearchDecoder's ability to handle unknown shapes.
Updated unit tests to contain inputs of unknown shape (at graph build time).
Found an issue in the gather helper that stops it from properly propagating
the batch size of the output shape. This caused problems with tf.while_loop.
Fixed.
PiperOrigin-RevId: 157533937
---
Commit 5c73d0102 authored by Neal Wu<wun@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Batch norm docs fix applied to _fused_batch_norm as well
PiperOrigin-RevId: 157530527
---
Commit abd4aa49a authored by Jonathan Hseu<jhseu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix docs for tf.abs() and tf.pow().
PiperOrigin-RevId: 157528475
---
Commit dd5ad6917 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Declarations of operators to support batch norm in xla
PiperOrigin-RevId: 157527596
---
Commit bbeaa1307 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix the expand_dim for label and weight for classifier heads.
PiperOrigin-RevId: 157524909
---
Commit 346021ab4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Cleanup: Use C++ casts, remove redundant casts, use CHECK_OK
PiperOrigin-RevId: 157522142
---
Commit e405b0f6b authored by Francois Chollet<fchollet@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Refactoring of layer name autogeneration, to remove a graph serialization warning.
PiperOrigin-RevId: 157520123
---
Commit 5784e1e35 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add HasOutputProperties to check for pruned ops; Return
device name instead of casting it to a short name (GPU:0/CPU:0); VLOG(2) when printing op device placement since it is a lot of output.
PiperOrigin-RevId: 157519077
---
Commit 2994444bf authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Issue a more user-friendly error message if a variable's initializer is from inside a control-flow scope, such as tf.cond() or tf.while_loop().
Fixes #8604.
PiperOrigin-RevId: 157516279
---
Commit da2daf068 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unused using declarations
PiperOrigin-RevId: 157513772
---
Commit 8b2e8b566 authored by Derek Murray<derek.murray@gmail.com>
Committed by gunan<gunan@google.com>:
Exclude Python test files from CMake PIP package. (#10302)
* Exclude *_test.py files from the CMake-built PIP package.
* Add stray _test.py file to the PIP package.
* Nit. Convert tabs to spaces in tf_python.cmake
---
Commit 2249a4ea8 authored by Dan Ringwalt<ringwalt@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix control reaching the end of ProjectiveGenerator.
PiperOrigin-RevId: 157510013
---
Commit 040e2e20f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unneeded check for has properties in grappler.
PiperOrigin-RevId: 157507665
---
Commit 684006955 authored by Yun Peng<pcloudy@google.com>
Committed by gunan<gunan@google.com>:
Windows: Remove session_test from bazel_test_lib.sh (#10274)
It was disabled in 49b17146d2e4f04192d16ed67574142de167f3a1
---
Commit 890a0a407 authored by Gunhan Gulsoy<gunan@google.com>
Committed by Gunhan Gulsoy<gunan@google.com>:
Upgrade TF ci build and docker files to use bazel 0.5.0
---
Commit 46db634e5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Only run the no-winograd tests once each.
Only run the no-winograd tests on GPU; this also fixes
timeouts in asan and msan.
PiperOrigin-RevId: 157505317
---
Commit a6cd4e735 authored by Dandelion Man?<dandelion@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove all TB build references that circumvent TF's public API.
This doesn't actually remove all the code references, lots of code references continue to work despite the BUILD references being removed. I think this is because depending on the public api transitively makes all of TensorFlow's guts available too.
PiperOrigin-RevId: 157502987
---
Commit dcc3cdce8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove redundant get() calls and string conversions
PiperOrigin-RevId: 157497932
---
Commit af2b9d875 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix the trace inputs functionality of the graph explorer.
After migrating to d3 v4, the graph can no longer directly index into d3.Selections to obtain elements. Instead, we must use the nodes method of d3.Selection to generate an array of selected elements.
PiperOrigin-RevId: 157493509
---
Commit 5cf484584 authored by Jacques Pienaar<jpienaar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Small test that performs A*B+A and A*B+B.
PiperOrigin-RevId: 157492992
---
Commit b2355913b authored by Androbin<robin.richtsfeld@gmail.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
remove some invalid entries (#10294)
I noticed that some entries don't exist (anymore).
This seems to be some kind of a consistency issue.
More specifically:
`tensorflow/contrib/ios_examples/camera/data`
`tensorflow/contrib/session_bundle/testdata/saved_model_half_plus_two`
`tensorflow/contrib/session_bundle/testdata/saved_model_half_plus_two/variables`
This is the continuation of PR #10264
---
Commit 367ec84f8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add SampleEmbeddingHelper to do sampling at inference time
PiperOrigin-RevId: 157487623
---
Commit a3ba225d5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add BatchMatMul execution cost prediction
PiperOrigin-RevId: 157487507
---
Commit 34a29fc3b authored by Eric Liu<ioeric@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] preserve metadata when replacing HLO instructions.
The motivation is to add metadata for HLO instructions that are created to replace existing HLO instructions during optimizations. The assumption is that the old instruction and the new instruction would perform the same function, and that they would be correlated to the same TF op. This might not always be correct since HLO optimizations can cross TF op boundaries. But still this seems to be better than nothing.
Note that this still doesn't fully resolve missing OpMetadata after HLO optimizations; new instructions might be added without using ReplaceInstruction.
PiperOrigin-RevId: 157484394
---
Commit 092a7b6e6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Disable keras lstm test in tsan.
PiperOrigin-RevId: 157484268
---
Commit 7280dafca authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use "empty" member function to test for emptiness
PiperOrigin-RevId: 157483181
---
Commit 6c3b15915 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Expands integration tests in dnn_test.
PiperOrigin-RevId: 157476608
---
Commit 727193b1f authored by Androbin<robin.richtsfeld@gmail.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
add missing import for `signal` package (#10264)
* add missing import for `signal` package
* add missing dependency for `signal` package
* Update tf_python.cmake
---
Commit 21461213d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unused BUILD dependencies
PiperOrigin-RevId: 157473460
---
Commit 4788ca2be authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix handling of Infinity/NaN in line chart domain
Test Plan:
- Use the script listed below to generate data that has enough
infinities for these values to not be treated as outliers.
- Load the data into TensorBoard (`--logdir /tmp/infbug`) and look at
the scalars plot; also look at the console.
- Before this change, the chart is completely blank, and there is a
console warning: "QuantitativeScales cannot take NaN or Infinity as
a domain value. Ignoring."
- After this change, there is no console output, and the chart appears
as intended: a reasonable domain is shown, and the infinities just
shoot off the chart.
Generating script:
```py
import tensorflow as tf
LOGDIR = '/tmp/infbug'
STEPS = 134
def main():
x = tf.Variable(3.1415)
y = x.assign_add(x)
tf.summary.scalar('y', y)
summ = tf.summary.merge_all()
sess = tf.Session()
writer = tf.summary.FileWriter(LOGDIR)
writer.add_graph(sess.graph)
sess.run(tf.global_variables_initializer())
for step in xrange(STEPS):
writer.add_summary(sess.run(summ), step)
writer.close()
if __name__ == '__main__':
main()
```
PiperOrigin-RevId: 157472340
---
Commit 49476a62c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unused namespace aliases
PiperOrigin-RevId: 157468609
---
Commit d83074847 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use "nullptr" for null pointer values
PiperOrigin-RevId: 157468186
---
Commit b73fea6e2 authored by Tim Harley<tharley@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Refactor `tf.Operation.traceback` implementation in to methods of tf.Graph.
Adds an `_extract_frame_info` method to allow derived classes to extend the
information available in each op traceback, if desired. The default result of
`tf.Operation.traceback` is unchanged.
Also fixes a poorly scoped `pylint disable=line-too-long`, so adds the necessary
enable/disable blocks to silence pylint for the offending docstrings.
PiperOrigin-RevId: 157466174
---
Commit f7ca8db7d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Improve shape inference error messages for DynamicSlice/DynamicUpdateSlice.
PiperOrigin-RevId: 157461335
---
Commit 8c2a079ec authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adding a slot / accumulator warmstart initializer that overrides the provided partitioner at call time with one passed at construction time. This is intended to be used for slot Variables (such as accumulators) associated with Optimizers, since these Variables are created in a fashion that relies on replicating the exact shape of the associated primary variables (see slot_creator).
PiperOrigin-RevId: 157453498
---
Commit 73d10599f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Default CUDNN_HOME to CUDA_TOOLKIT_TARGET_DIR. The cuDNN distro is most naturally installed in the same directory as the CUDA SDK, so try to find it there if the user doesn't specify any other directory.
PiperOrigin-RevId: 157436253
---
Commit eb7cf9331 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 157429266
---
Commit 346dcc0a4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 157429078
---
Commit 3d5ede131 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update documentation for sparse_matmul op to reflect gradient calculation.
PiperOrigin-RevId: 157428135
---
Commit 822d64f0c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix embedding_lookup() bug where normalization did not work with ids of rank != 1.
PiperOrigin-RevId: 157422220
---
Commit 8cad6b824 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Improve the error message for live set memory check.
PiperOrigin-RevId: 157415647
---
Commit 34dcd5b49 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf contrib seq2seq] Bugfixes to BeamSearchDecoder
Implementation by Cinjon Resnick. He can't push this since he's traveling.
I just copied the fix and added some small syntax tweaks to make the unit
tests pass. More comprehensive unit tests will come in the near future.
Fixes at least part of #9904.
BeamSearchDecoder:
1. Fix the bug where we don't pass the next cell state through.
2. Gather the cell state (and attention if that's a part of the model
as an AttentionWrapper on the cell) according to the next_beam_ids.
PiperOrigin-RevId: 157415564
---
Commit f7ae1461c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix oversampling in the GPU version of multinomial due to an error in generating
gumbel noise. -log(-log(U)) gives infinity if U draws a hard 0. Adds a tiny
offset to U (2e-30) to avoid log(U) = -inf.
The CPU sampling algorithm depends on the order of the logits which is
undesirable and can also oversample the first logit if it is smaller than the
smallest random float larger than 0 (~1e-7). Switching to double precision
internally mitigates these problems, although it doesn't fix them. Slowdown
is ~35% in the worst case.
Also adds various tests that we would like the sampling to pass.
CPU Benchmark before:
32 10000 1 0.060 0.069 0.87
32 10000 4 0.229 0.074 3.10
32 10000 32 2.180 0.059 37.09
32 100000 1 0.430 0.480 0.90
32 100000 4 2.322 0.449 5.17
32 100000 32 31.508 0.471 66.96
128 10000 1 0.168 0.235 0.71
128 10000 4 0.965 0.246 3.93
128 10000 32 7.989 0.225 35.51
128 100000 1 1.681 1.539 1.09
128 100000 4 9.012 1.57 35.73
128 100000 32 126.222 1.626 77.60
CPU Benchmark after:
32 10000 1 0.054 0.112 0.48
32 10000 4 0.206 0.093 2.21
32 10000 32 1.826 0.091 20.12
32 100000 1 0.292 0.636 0.46
32 100000 4 2.086 0.606 3.44
32 100000 32 28.496 0.633 45.03
128 10000 1 0.125 0.266 0.47
128 10000 4 0.759 0.258 2.94
128 10000 32 7.362 0.254 29.03
128 100000 1 1.550 2.18 10.71
128 100000 4 8.712 2.22 23.92
128 100000 32 122.585 2.213 55.39
PiperOrigin-RevId: 157414849
---
Commit 62cf561f1 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add numpy_input_fn integration for LinearRegressor and fix the expand_dim for label and weight.
PiperOrigin-RevId: 157405237
---
Commit 40c7e0dd7 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 157402364
---
Commit 2726c00ce authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 157402063
---
Commit e9d2fba8f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix comment describing ignore_longer_outputs_than_inputs.
PiperOrigin-RevId: 157400110
---
Commit 5f097217f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
An initial step of eliminating all implicit broadcast at the HLO level.
Guard the shape inference for binary ops behind a flag.
PiperOrigin-RevId: 157373647
---
Commit e78e5ec8a authored by Yangzihao Wang<yangzihao@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Set winograd nofused flag to be true by default.
Disable winograd nonfused conv for certain input params to avoid a known bug in cuDNNv5 and cuDNNv6.
PiperOrigin-RevId: 157352847
---
Commit 3f9b69a50 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
In the CUDA path of depthwise_conv2d, add a fast variant for forward convolution when the input images are smaller than 16x16.
PiperOrigin-RevId: 157347823
---
Commit 848123e61 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix incorrect condition to instantiate depthwise_ops introduced in commit 15d9f00fa. The change should have excluded depthwise_conv2d for doubles on windows debug builds, but it excluded it for all windows and all debug builds.
PiperOrigin-RevId: 157345929
---
Commit 060d67b34 authored by Taehoon Lee<taehoonlee@snu.ac.kr>
Committed by Taehoon Lee<taehoonlee@snu.ac.kr>:
Fix typos
---
Commit 409419bcc authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
add closing code quotes
PiperOrigin-RevId: 157339360
---
Commit d20d0a623 authored by Jonathan Hseu<jhseu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix the contrib estimator_test by updating the global step in all the appropriate spots.
PiperOrigin-RevId: 157328239
---
Commit d1144d3a9 authored by Juang, Yi-Lin<b02901026@ntu.edu.tw>
Committed by Juang, Yi-Lin<b02901026@ntu.edu.tw>:
Fix typos
---
Commit fa8bb43b1 authored by lanhin<lanhin1@gmail.com>
Committed by lanhin<lanhin1@gmail.com>:
Fixed a comment typo in GraphView:InitializeNode(), executor.cc.
---
Commit 9f13ae93f authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Java: Update Maven release to 1.2.0-rc1
PiperOrigin-RevId: 157294719
---
Commit c8256769c authored by Gunhan Gulsoy<gunan@google.com>
Committed by Gunhan Gulsoy<gunan@google.com>:
Address comments and sanity check failures.
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Commit 344225a60 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 157292254
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Commit eb2f6d041 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
VLOG(2) instead of VLOG(1) for detailed op printouts.
PiperOrigin-RevId: 157291238
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Commit b4466279a authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
tfdbg: add runtime shape and dtype info to DebugNumericSummary
PiperOrigin-RevId: 157291215
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Commit 4fb2425f8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add GraphOptimizer to Grappler item builder to do L1 optimizations and
inlining.
Op Counts Comparison (BNMT)
Counts: Profile vs Grappler
Op: Add, 968 vs 965
Op: AddN, 2228 vs 2228
Op: ApplyGradientDescent, 84 vs 84
Op: BatchMatMul, 998 vs 998
Op: Identity, 142 vs 105
Op: MatMul, 63 vs 63
Op: Mul, 10318 vs 10306
Op: OneHot, 1 vs 1
Op: Reshape, 8421 vs 8422
Op: Select, 488 vs 488
Op: Shape, 8132 vs 8131
Op: Sigmoid, 942 vs 942
Op: Softmax, 19 vs 19
Op: StridedSlice, 58 vs 74
Op: Sub, 1398 vs 1394
Op: Tanh, 333 vs 333
Op: Tile, 21 vs 21
Op: Transpose, 39 vs 39
PiperOrigin-RevId: 157288420
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Commit 8918fa9ef authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 157272843
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Unit test files will move in a followup PR. This is the big API change.
The old behavior (using tf.contrib.rnn....) will continue to work for
backwards compatibility.
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PiperOrigin-RevId: 156351616
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Originally by @Mycosynth, but edited to make it work using
integer conversion.
Fixes #447.
If this breaks you, do an explicit cast of the return of get_attr to int, if you
are parsing a dtype object.
PiperOrigin-RevId: 155661630
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Change: 155209832
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Change: 153925676
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DO NOT CHERRYPICK INTO 1.1 BRANCH. This should only be released
as part of TensorFlow 1.2.
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Change: 153726368
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Change: 152837661
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Change: 152508170
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Change: 152200430
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Change: 151046259
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Change: 149800363
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Change: 148954491
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Change: 147897309
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Change: 146918929
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Output, etc. now that all uses have migrated to using the tensorflow
namespace.
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Change: 143412147
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from the Python API.
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less accurate one. This enables, but does not yet provide, significant speed improvements for image models bottlenecked on image-preprocessing.
RELNOTES: tf.image.decode_jpeg by default uses the faster DCT method, sacrificing
a little fidelity for improved speed. One can revert to the old
behavior by specifying the attribute dct_method='INTEGER_ACCURATE'.
Change: 142517485
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Anjum Sayed
Justin Lebar
Austin Anderson
Jianwei Xie
Frank Chen
Derek Murray
Gunhan Gulsoy
A. Unique TensorFlower
Andrew Harp
Benoit Steiner
Mark Daoust
Derek Murray
Asim Shankar
Martin Wicke
Eugene Brevdo
Vijay Vasudevan
Shanqing Cai
Jonathan Hseu
Dan Ringwalt
Rohan Jain
Dandelion Mané