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PiperOrigin-RevId: 175307445
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Adds a new remote repository for the mobilenet tflite models necessary
for running the TF Lite demo app.
PiperOrigin-RevId: 174946867
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Uses Eigen's unsupported implementation.
PiperOrigin-RevId: 174858966
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PiperOrigin-RevId: 174719222
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Commit 648993e82 authored by Andrew Harp<andrew.harp@gmail.com>
Committed by Andrew Harp<andrew.harp@gmail.com>:
delete extraneous file
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Commit c2ff8a5ab authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Delete backticks
PiperOrigin-RevId: 174030921
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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
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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
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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
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Commit de38e5dff authored by ???<dev@goodow.com>
Committed by GitHub<noreply@github.com>:
fix broken link
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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
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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
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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
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Commit 6d1263cdf authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Remove dead opcode kIndex.
PiperOrigin-RevId: 173987428
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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
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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
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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
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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
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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
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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
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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
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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
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Commit c315cf1ee authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal-only changes
PiperOrigin-RevId: 173968246
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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
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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
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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
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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
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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
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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
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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
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Commit 89120eb68 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
scatter_update for resource variables
PiperOrigin-RevId: 173963715
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Commit 4f6e6ea4c authored by Sanjoy Das<sanjoy@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix typo in comment; NFC
PiperOrigin-RevId: 173942305
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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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redundant now that bazel-toolchains repo is live
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This causes remote builds to fail since they AWS headers were missing.
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END_PUBLIC
---
Commit ee0fdc296 authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add noasan tag to estimator_test
PiperOrigin-RevId: 171075499
---
Commit a02116882 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:CPU] Put the HLO name in IR values that hold the HLO's value.
PiperOrigin-RevId: 171075449
---
Commit 89aaac4bc authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow Layer.add_update() in Eager mode.
PiperOrigin-RevId: 171070861
---
Commit 840dcae57 authored by Amit Patankar<amitpatankar@google.com>
Committed by gunan<gunan@google.com>:
Updating the install sources file with a supported configs table (#13450)
* Updating the install sources file with a supported configs page.
* Implementing Gunan's suggestions.
* Adding GCC string to Linux compiler.
* Updating the bazel/cmake column.
---
Commit 89df2e336 authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add the 'is_the_final_export' signal to Exporters. Use them in training.
When the training ends, the final export is performed via `Exporter.export()` call. That final export is going to have is_the_final_export parameter being set to true.
If `TrainSpec.max_steps` is `None`, then "when training ends" is undefined. We are going to train forever. In that case, `is_the_final_export` is going to be always False. I added a note about it.
PiperOrigin-RevId: 171070760
---
Commit 4486b4f69 authored by Akshay Agrawal<akshayka@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make graph_callable compatible with functions that do not return anything
PiperOrigin-RevId: 171067061
---
Commit 39565c0cb authored by Martin Wicke<wicke@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Publish train_and_evaluate and associated classes.
PiperOrigin-RevId: 171066379
---
Commit 3b4477000 authored by Saurabh Saxena<srbs@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make VariantTensorData::tensors_size() const.
PiperOrigin-RevId: 171063397
---
Commit 53cc63a2d authored by Dhananjay Nakrani<dhananjayn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[part 1] Add support for int32 & int64 in RandomPoissonOp.
This computes int32/int64-precision poisson samples with double precision intermediate calculations (same as it's done for `half`) respectively.
part 2 will switch over python calls to new op once forward compatibility period has passed.
PiperOrigin-RevId: 171058336
---
Commit 70fc9bf9b authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Java: Add support for loading op libraries dynamically.
This change adds the equivalent of tf.load_op_library in Python to Java.
(https://github.com/tensorflow/tensorflow/commit/5c7f9e316d8c7735308a217310350d416d7498cc
was required to make this possible)
Though, TensorFlow.loadLibrary() is likely to fail on Windows as symbols
required by custom op libraries (those exported by the tensorflow_framework library)
are not exported by the monolithic JNI library yet.
This should help with #10454 and #13476
PiperOrigin-RevId: 171054707
---
Commit e7c53698e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal cleanup
PiperOrigin-RevId: 171053770
---
Commit cc8ee6c0f authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fast path for tf.conj when it should be pass-through.
PiperOrigin-RevId: 171053662
---
Commit c41dbc3c1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adding TF Boosted trees regression example on boston dataset, minor fix for mnist example.
PiperOrigin-RevId: 171052367
---
Commit d66e77f7c authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added get variable utils to tf.estimator.Estimator.
PiperOrigin-RevId: 171052121
---
Commit 083bd5dde authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Java: Add support for loading op libraries dynamically.
This change adds the equivalent of tf.load_op_library in Python to Java.
(https://github.com/tensorflow/tensorflow/commit/5c7f9e316d8c7735308a217310350d416d7498cc
was required to make this possible)
Though, TensorFlow.loadLibrary() is likely to fail on Windows as symbols
required by custom op libraries (those exported by the tensorflow_framework library)
are not exported by the monolithic JNI library yet.
This should help with #10454 and #13476
PiperOrigin-RevId: 171054707
---
Commit 2fe6cf285 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal cleanup
PiperOrigin-RevId: 171053770
---
Commit 15155493b authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fast path for tf.conj when it should be pass-through.
PiperOrigin-RevId: 171053662
---
Commit 6c954d0b3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adding TF Boosted trees regression example on boston dataset, minor fix for mnist example.
PiperOrigin-RevId: 171052367
---
Commit ad69076eb authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added get variable utils to tf.estimator.Estimator.
PiperOrigin-RevId: 171052121
---
Commit 3cf41b2ed authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Test save/restore variable from graph_callable.
PiperOrigin-RevId: 171051237
---
Commit cf17ec96e authored by Yangzihao Wang<yangzihao@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add V2 versions of output window size computation functions for convolution.
These V2 versions take arbitrary dilation rates.
In preparation for the support of native cudnn dilated convolution.
PiperOrigin-RevId: 171048878
---
Commit 491584ff4 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
eager: Always run dataset iterator operations on CPU.
It has no kernels for other devices.
With an explicit "tf.device()" before invoking the kernel we ensure
that Iterator.next() functions even when placed inside a:
with tf.device("/device:GPU:0")
PiperOrigin-RevId: 171048558
---
Commit 3b354016e authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rename SavedModelExporter to LatestExporter.
PiperOrigin-RevId: 171048345
---
Commit 943c6d7af authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
errors out if the evaluator has task id > 0.
PiperOrigin-RevId: 171047652
---
Commit 8c9ef4466 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Expand set of 64-bit type tests in LocalClientExecuteTest.ShapeBufferToLiteralConversion64bit and factor out into their own test.
PiperOrigin-RevId: 171043047
---
Commit cc521eb06 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Place all the nodes created by the trivial_test_graph_input_yielder
PiperOrigin-RevId: 171045878
---
Commit 9b9301240 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:CPU] Factor out parallel task assignment from cpu parallelization prep (no functional changes).
PiperOrigin-RevId: 171045137
---
Commit 558d878d9 authored by Allen Lavoie<allenl@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TFTS: Move normalization to the base class, start using it for state space models
Preivously, state space models adjusted their priors based on the data
(e.g. setting initial variances to match sample variance) but did not normalize
the data itself. When the data has a rather extreme scale, this runs into
precision issues. After this CL, state space models will first normalize, then
use adjusted statistics on top of that normalization to estimate initial
observation/transition noise.
Also fixes an issue where start-of-series statistics were incorrect for the first
batch (which only shows up with large input scales).
PiperOrigin-RevId: 171044863
---
Commit 266f77156 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Expand set of 64-bit type tests in LocalClientExecuteTest.ShapeBufferToLiteralConversion64bit and factor out into their own test.
PiperOrigin-RevId: 171043047
---
Commit c9915d1a2 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf-signal] Fix pip tests by including test_util in signal_py
PiperOrigin-RevId: 171042732
---
Commit f8550f4e9 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Expand set of 64-bit type tests in LocalClientExecuteTest.ShapeBufferToLiteralConversion64bit and factor out into their own test.
PiperOrigin-RevId: 171043047
---
Commit 87dc532cd authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf-signal] Fix pip tests by including test_util in signal_py
PiperOrigin-RevId: 171042732
---
Commit 0578dd65e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add more debugging output for XLA send/recv.
PiperOrigin-RevId: 171041978
---
Commit 23992bb09 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Several minor documentation fixes.
PiperOrigin-RevId: 171038610
---
Commit af14ed3f3 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Some docstring twists and argument validations.
PiperOrigin-RevId: 171037949
---
Commit 6b90a65f6 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove "hybrid" HloModuleConfig option. The option was used to generate executables which only generated the array values of tuple-shaped outputs, not the tuple index tables.. With cl/170133015, ShapedBuffers which hold the computation output now have materialized tuples with these index tables so this option is no longer desired or necessary.
No functional change. Just cleanup.
PiperOrigin-RevId: 171035738
---
Commit 41a0264ab authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added utilities to make global step reading deterministic. Used them in Estimator.
Enabled/Fixed some tests.
PiperOrigin-RevId: 171035291
---
Commit 9d7843c0a authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add optional unused_input_map_keys output param to ImportGraphDef
This is a more general feature than that in the Python importer, which
raises an exception if the input map contains unused names.
PiperOrigin-RevId: 171029316
---
Commit 4f10a6597 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add vlogging of HloModule before and after fusion.
PiperOrigin-RevId: 171029054
---
Commit 9e658545a authored by Reed Wanderman-Milne<reedwm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Document what dtype tf.image.resize_images returns.
For consistency, tf.image.resize_images now will always return a float32 when method != ResizeMethod.NEAREST_NEIGHBOR. Before, it returned the same dtype as its input if it could be determined statically that the height and width would not be changed.
PiperOrigin-RevId: 171028825
---
Commit 4d70239f0 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Replace the contrib FC with core FC in canned Estimator docstring.
PiperOrigin-RevId: 171027602
---
Commit 6a1b867ff authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds the docstring with details for tf.estimator.train_and_evaluate
PiperOrigin-RevId: 171027527
---
Commit 7209c1602 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Mark IdentityN as CompilationOnly().
PiperOrigin-RevId: 171025171
---
Commit 8e22eb874 authored by FAIJUL<md.faijul.amin@intel.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
Eigen BiasAdd and BiasAddGrad Fix for NCHW Format. (#13158)
---
Commit 7db7a890c authored by Jingyue Wu<jingyue@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[Grappler] Move InferOutputShapes to GraphProperties.
So it can be used by other optimizers. No functional changes.
PiperOrigin-RevId: 171010106
---
Commit 2114fd51e authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Improve numerical stability of SoftPlus.
PiperOrigin-RevId: 171003559
---
Commit 727d6270f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix race condition in TensorForest tree traversal.
PiperOrigin-RevId: 170990425
---
Commit d016cb020 authored by Suharsh Sivakumar<suharshs@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix c++ gradients issue where multiple dependent outputs result in incorrect answer.
The issue is that we incorrectly calculate the pending num_expected_backprops for outputs nodes when one output transitively depends on another. this is because we use output nodes as an indicator of when we need to end our traversal. Instead we should only use output nodes that don't transitively get consumed by other output nodes as end indicators for our traversal. This change implements that fix.
Fixes #13190
PiperOrigin-RevId: 170971937
---
Commit 5405f3bd7 authored by gunan<gunan@google.com>
Committed by Frank Chen<frankchn@gmail.com>:
Fix tf-signal tests on pip packages. (#13483)
---
Commit f9f037c1c authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Bugfix to LSTMBlockCell and friends: clipping is off by default.
* Rename broken API argu clip_cell boolean to cell_clip value.
* Make default no clipping.
PiperOrigin-RevId: 170960975
---
Commit bfaaefa9e authored by Frank Chen<frankchn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update APIs for TPU Cluster Resolver to remove the custom API definition and instead use a standard definition file stored in GCS.
PiperOrigin-RevId: 170960877
---
Commit c31c118a3 authored by Ian Langmore<langmore@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Extend tf.contrib.bijector API to handle some non-injective transforms.
AbsoluteValue Bijector added to contrib/distributions/bijectors/
TransformedDistribution udpated to handle some non-injective transforms.
PiperOrigin-RevId: 170960054
---
Commit 664dd0859 authored by Frank Chen<frankchn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Disable cluster_function_library_runtime_test on Mac OS as it is currently failing with an Unimplemented error
PiperOrigin-RevId: 170958505
---
Commit 6af7ab97a authored by Mahmoud Abuzaina<mahmoud.abuzaina@intel.com>
Committed by gunan<gunan@google.com>:
MKL-DNN open source integration. (#13135)
* MKL-DNN conv and build integration
* Adding new files that were mistakenly missing from the PR
* Minor change in the pip package build file
* Added missing #include
* Fixed a linking failure when running the bazel test
* Fixing BUILD file format
* Using -fopenmp for building mkl_dnn only when running on linux
* Fixing build rule attribute value
* Removing unnecessary deps from mkl test rule
* Removed deps on mkl-dnn when not building with --config=mkl
---
Commit 93fa1af76 authored by Akshay Agrawal<akshayka@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make graph_callable, defun tf_decorators
PiperOrigin-RevId: 170948777
---
Commit b39525785 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added comment re:behavior of listener in case of multiple saver hooks.
PiperOrigin-RevId: 170946536
---
Commit de14fcbb6 authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Support evaluation in `_TrainingExecutor.run_master()`.
This CL aims to address the following TODO:
# TODO(b/66720832): Once listener API is added into Estimator.train, the
# eval and export process should be wrapped as a listener and passed to
# _start_distributed_training. The expected behavior should be
# 1. The export is invoked after each intermediate evaluation.
# 2. The evaluation and export should be invoked correctly at the end of
# training. This should be fine if the listener works as intended (it will
# send the `after_save` signal for the final ckpt saving).
1. is achieved as follows:
a. saving_evaluators are added to the CheckpointSaverHook's listeners inside the Estimator.
b. MonitoredSession calls after_run() of CheckpointSaverHook, which in turn calls after_save on the listeners.
2. is achieved in a similar way, but when MonitoredSession calls .end() on CheckpointSaverHook.
PiperOrigin-RevId: 170945961
---
Commit d4ea993ca authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Removes unnecessary eager-mode call to convert_to_tensor in record_gradient.
PiperOrigin-RevId: 170944265
---
Commit add6d2d03 authored by RJ Ryan<rjryan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf-signal] Use tf.spectral.dct in mfccs_from_log_mel_spectrograms instead of a private implementation.
PiperOrigin-RevId: 170943986
---
Commit b959da92f authored by Jiri Simsa<jsimsa@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixing CPU implementation of parallel_stack for tensors with non-zero rank.
PiperOrigin-RevId: 170942814
---
Commit 4cf61262a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Improve TFGAN documentation.
PiperOrigin-RevId: 170940188
---
Commit 0068086b9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Introduce `tf.data` namespace.
PiperOrigin-RevId: 170939033
---
Commit 0c8dbc1fd authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
matmul uses shape_tuple internally
PiperOrigin-RevId: 170938790
---
Commit ad37fa81f authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Refactor ExportStrategies into Exporters.
This design eliminates some indirection. Instead of combining an `export_fn` with `make_export_strategy` call to arrive at an ExportStrategy that is going to call the supplied `export_fn` inside its `export` call with Exporters one just defines the `export` call in an Exporter.
PiperOrigin-RevId: 170936640
---
Commit b925f8553 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fast-path for EagerTensorBase.dtype
PiperOrigin-RevId: 170933005
---
Commit 08e266d9b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Pass activity_regularizer to __init__ instead of using the (now
deprecated) property setter.
PiperOrigin-RevId: 170932807
---
Commit b002c8b7d authored by Jingyue Wu<jingyue@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[Grappler] Fold chains of reshapes.
Reshape(Reshape(input, shape1), shape2) is equivalent to Reshape(input,
shape2).
PiperOrigin-RevId: 170932278
---
Commit 075d1d13b authored by horance<horance@aliyun.com>
Committed by Frank Chen<frankchn@gmail.com>:
remove warning for forward decl (#13459)
---
Commit 931609fcf authored by Ryohei Kuroki<ryohei.kuroki@gmail.com>
Committed by Frank Chen<frankchn@gmail.com>:
Remove unnecessary specification for default kernel name (#13465)
---
Commit 94463f521 authored by Akshay Agrawal<akshayka@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Preserve target function signature in custom_gradient decorator
PiperOrigin-RevId: 170931715
---
Commit 681056636 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change to simplify prediction ops.
- it no longer returns predictions_no_dropout, which is mostly for debugging purpose.
- as a consequence, MultipleAdditiveTrees::Predict() doesn't return prediction_no_dropout, and it accept trees_to_include indexes intead of trees_to_drop indexes.
PiperOrigin-RevId: 170926422
---
Commit d6e963b82 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
SYCL: Fix build breakage introduced in
https://github.com/tensorflow/tensorflow/commit/f0e8c545e0196b8b48ce0ad0f116df97d980d1f1
Fixes #13350
PiperOrigin-RevId: 170923862
---
Commit 5123f2971 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal cleanup.
PiperOrigin-RevId: 170922297
---
Commit d0c76cd18 authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Handle the absence of a fresh eval checkpoint in `run_local`.
It is ~unexpected condition for an eval checkpoint to not be available after a train call to the estimator. There is a corner case when it is possible, but that's going to be resolved soon.
This case is handled for continuous (distributed) evaluation differently. Instead of erroring out, we skip evaluation runs. That behavior is captured in the `test_skip_evaluation_due_to_ckpt` test.
PiperOrigin-RevId: 170919925
---
Commit 435b31b9f authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 170892257
PiperOrigin-RevId: 171321707
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PiperOrigin-RevId: 171166294
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END_PUBLIC
---
Commit 1e1b3d902 authored by Pete Warden<pete@petewarden.com>
Committed by gunan<gunan@google.com>:
Changed output directory for Pi CI build to fix permissions problem with nightlies (#13257)
* Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change for Pi that's no longer needed
* Fixed Pi Zero OpenBLAS build problems and tidied up directories used
* More robust checks in Pi build script
* Changed output directory for Pi CI build to fix permissions problem
---
Commit fe3a2e65c authored by Yan Facai (???)<facai.yan@gmail.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
check invalid string type for dest_nodes in extract_sub_graph (#13057)
* BUG: check str type
* TST: add unit test
* CLN: remove list check
* CLN: use warning
* CLN: 2 indent
* CLN: raise TypeError if not list
* CLN: check string only
---
Commit 225ab7629 authored by Jean Wanka<jm.wanka@gmail.com>
Committed by Jean Wanka<jm.wanka@gmail.com>:
Fix polynomial decay with cycle for global step=0
For polynomial decay with cycle=True the learning rate at
step 0 becomes NaN, because in the process of calculating it we
devide by 0. This change should fix it, by setting the multiplier
for the decay steps to one for global_step=0.
---
Commit 286f57061 authored by Bjarke Hammersholt Roune<broune@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make Service::TransferToClient not attempt to manipulate the literal when the transfer failed, preventing a crash and allowing the caller to see the reason for the failed transfer.
PiperOrigin-RevId: 169770126
---
Commit e0501bc4d authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Shanqing Cai<cais@google.com>:
Fix GRUBlockCell parameter naming inconsistency (#13153)
* Fix GRUBlockCell parameter naming inconsistency
This fix tries to fix the issue in 13137 where
parameter `cell_size` is used instead of `num_units`.
This is inconsistent with other RNN cells.
This fix adds support of `num_units` while at the same
time maintains backward compatiblility for `cell_size`.
This fix fixes 13137.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add `@deprecated_args` for 'cell_size' in `GRUBlockCell`
This commit adds `@deprecated_args` for 'cell_size' in `GRUBlockCell`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Address review comment
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 02a2eba05 authored by Pete Warden<pete@petewarden.com>
Committed by gunan<gunan@google.com>:
Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change that's no longer needed (#13251)
* Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change for Pi that's no longer needed
* Fixed Pi Zero OpenBLAS build problems and tidied up directories used
* More robust checks in Pi build script
---
Commit 8ef722253 authored by Sanjoy Das<sanjoy@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove a redundant setName.
The EmitComputation should have emitted a function with the right name, so use a
CHECK instead.
PiperOrigin-RevId: 169764856
---
Commit 1b94147dc authored by Neal Wu<wun@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix broken GitHub links in tensorflow and tensorflow_models resulting from The Great Models Move (a.k.a. the research subfolder)
PiperOrigin-RevId: 169763373
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Commit b1ada5f0c authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix TensorBoard python -m invoke in docs
PiperOrigin-RevId: 169758752
---
Commit 2957cd894 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Local run option of estimator training.
PiperOrigin-RevId: 169756384
---
Commit 1dc2fe7ac authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 166264198
PiperOrigin-RevId: 169998124
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PiperOrigin-RevId: 169860974
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Splits out a shared object (//tensorflow/libtensorflow_framework.so) with core TensorFlow functionality but neither ops nor kernels. This object does include registries for ops, kernels, filesystems, etc. The expectation is that shared objects containing custom ops will have a runtime dependency on this framework shared object: TensorFlow will load the custom op shared object, and the custom op shared object will use the symbols from the framework shared object to register its ops/kernels/etc. rather than (as before this change) relying on those symbols being in the global symbol table.
In this mode, TensorFlow artifacts (_pywrap_tensorflow.so for Python, libtensorflow.so for the C API; currently excluding Android artifacts) will depend on the framework shared object, which will be packaged with the Python pip package and other language distributions. This means that custom ops targeting the framework shared object will work in any language (C++, Java, Go; previously custom ops in these languages required custom Bazel builds).
Adds a config option which reproduces the old behavior (--config=monolithic), which for Python means building a monolithic pywrap_tensorflow shared object and loading its symbols into the global symbol table (with RTLD_GLOBAL). As before, there will be no extra-Bazel custom op support for other languages when compiling in this mode.
Does not change behavior on Windows; the cmake build is still monolithic.
Requires using tf_cc_binary, tf_cc_test, and (rarely) tf_cc_shared_object rules to link in the framework shared object when adding new TensorFlow build rules.
PiperOrigin-RevId: 169572746
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non-sandboxed builds.
PiperOrigin-RevId: 169271809
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configuration so that it is possible to build bazel build @local_config_cuda//...
PiperOrigin-RevId: 169237265
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This is intended to address #12998
PiperOrigin-RevId: 168585206
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END_PUBLIC
---
Commit 607816029 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Extended ScratchSpace to expose its underlying scratch tensor object.
PiperOrigin-RevId: 167649551
---
Commit db43fe68e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add fast math attributes to all generated methods when fast math enabled.
RELNOTES: n/a
PiperOrigin-RevId: 167646637
---
Commit aebe8cc6f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Call HloComputation.Accept instead of HloInstruction.Accept to get all instructions profiled.
RELNOTES: n/a
PiperOrigin-RevId: 167640259
---
Commit 0ab137cd8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 167604306
PiperOrigin-RevId: 167800256
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PiperOrigin-RevId: 167401527
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The source of errors is that 'crosstool_wrapper_driver_is_not_gcc' was not
included in the GPU crosstool, but was still listed in build dependencies.
PiperOrigin-RevId: 167107311
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supports queries of text-valued columns.
PiperOrigin-RevId: 166544839
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PiperOrigin-RevId: 166533251
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PiperOrigin-RevId: 165626932
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PiperOrigin-RevId: 165545114
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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
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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
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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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---
Commit cf375f067 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
Adds cudnn_rnn_ops_op_lib and cudnn_rnn_kernels to contrib_ops_op_lib and
contrib_kernels respectively.
PiperOrigin-RevId: 164170971
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Commit 95ec58e27 authored by Asim Shankar<ashankar@google.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
C API: Make TF_TensorFromTensor return an error instead of just logging it.
PiperOrigin-RevId: 164167582
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Commit 15175c870 authored by Jonathan Hseu<jhseu@google.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
Build fixes.
- Allow var_list as a positional argument in CrossShardOptimizer.
- Set the number of shards to 1 when not running on TPU, to allow evaluate() and predict() on CPU/GPU to work.
PiperOrigin-RevId: 164161640
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Commit bd3e894f7 authored by Yao Zhang<yaozhang@google.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
Support freeze mode for fused batch norm.
PiperOrigin-RevId: 164149032
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Commit e6b6b84c0 authored by Asim Shankar<ashankar@google.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
C API: TF_Tensors will always be in host memory.
This change undoes some experimentation in
commit 22651083406ca01ac9d481e3367a3510d25f88cd
and restores TF_Tensor behavior to what is was prior to that change.
PiperOrigin-RevId: 164146670
---
Commit 8bf3f88f7 authored by Peter Hawkins<phawkins@google.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[TF:XLA] Add _XLASend and _XLARecv TF ops that wrap the XLA Send/Recv HLO ops.
PiperOrigin-RevId: 164124764
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Commit 626d3200f authored by Peter Hawkins<phawkins@google.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[XLA] Add test blacklist mechanism for XLA C++ unit tests.
PiperOrigin-RevId: 164124423
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Commit 359cc5f5e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
Document dict ordering in nest and make it consistent with sonnet.
PiperOrigin-RevId: 164114335
---
Commit 05813b531 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 164089206
---
Commit c451f465d authored by Anna R<annarev@google.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 164078808
PiperOrigin-RevId: 164318935
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Commit 6150611ae authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change.
PiperOrigin-RevId: 163765028
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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
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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
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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
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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
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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
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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
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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
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Commit 1b8458a1c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Shorten docstring line.
PiperOrigin-RevId: 163269709
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Commit 69e323cc6 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix comment ypo
PiperOrigin-RevId: 163266376
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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
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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.
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BEGIN_PUBLIC
Automated g4 rollback of changelist 162525519
PiperOrigin-RevId: 163490703
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non-sandboxed builds.
PiperOrigin-RevId: 163103908
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Setting TF_MKL_ROOT environment variable (together with "--config=mkl")
before build will enforce using a local copy of MKL during build.
PiperOrigin-RevId: 162787130
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PiperOrigin-RevId: 162743186
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Closes #11212
PiperOrigin-RevId: 162713588
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PiperOrigin-RevId: 161531749
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---
Commit d0f53f77f authored by Penghao Cen<scorpiocph@gmail.com>
Committed by Shanqing Cai<cais@google.com>:
Minor fix typo (#11323)
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Commit 02fcf564e authored by Chris Song<sjhshy@gmail.com>
Committed by Chris Song<sjhshy@gmail.com>:
Fix misspells.
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Commit 764c9b6b4 authored by Louis Tiao<ltiao@users.noreply.github.com>
Committed by GitHub<noreply@github.com>:
Fixed typo in docstring
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Commit f8cd1283e authored by Shanqing Cai<cais@google.com>
Committed by Shanqing Cai<cais@google.com>:
Chaser
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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.
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Commit 0ffc37890 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Removing second declaration of functions.
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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BEGIN_PUBLIC
Automated g4 rollback of changelist 157169178
PiperOrigin-RevId: 161476569
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PiperOrigin-RevId: 161214648
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Add a rule to generate an empty VCSRevision.h file to accomodate for r300160.
PiperOrigin-RevId: 161051888
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one level under local_config_cuda/cuda).
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Automated g4 rollback of changelist 159643278
PiperOrigin-RevId: 160894669
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PiperOrigin-RevId: 160754438
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- Remove experimental attributes (remote_config_repo). Use of experimental remote repo can only be enabled now via env variable (preferred to change to workspace file)
- Fixes minor issues with template: adds spaces to srcs in genrule, remove extra space after genrules.
- Fix ordering of attributes in build template
PiperOrigin-RevId: 160595014
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- Remove experimental attributes (local_checks, python_include, numpy_include, remote_config_repo). Use of experimental remote repo can only be enabled now via env variable (preferred to change to workspace file)
- Fix hardcoded fallback value for python bin. New fallback is to use 'which python' and fail if python not set in path (solves tensorflow/tensorflow#9436 / works around bazelbuild/bazel#3057).
- Fixes minor issues with template: adds spaces to srcs in genrule, remove extra space after genrules.
- Some dead code clean up (use of empty configuration)
PiperOrigin-RevId: 160594421
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* Import CUB.
* Add GPU-enabled async WhereOp.
* Added benchmarks.
* Added support for bool ResourceVariables on GPU.
Benchmark results on machine with single K40 tesla GPU:
Where on bool matrix shape [m x n] with p percentage values true below.
For small-medium sizes, running WhereOp on GPU is ~4-2x slower. For
realistic large problem sizes, it's 2-5x faster. This timing ignores
the time spent copying a tensor from GPU -> CPU and back from CPU -> GPU
when the WhereOp is between GPU computations (so the performance impact
should actually be better).
Benchmark: m_10_n_10_p_0.01_use_gpu_False wall_time: 9.01e-05 s Throughput: 0.00129 GB/s
Benchmark: m_10_n_10_p_0.01_use_gpu_True wall_time: 0.000187 s Throughput: 0.000621 GB/s
Benchmark: m_10_n_10_p_0.5_use_gpu_False wall_time: 9.3e-05 s Throughput: 0.00968 GB/s
Benchmark: m_10_n_10_p_0.5_use_gpu_True wall_time: 0.000252 s Throughput: 0.00357 GB/s
Benchmark: m_10_n_10_p_0.99_use_gpu_False wall_time: 0.000152 s Throughput: 0.0111 GB/s
Benchmark: m_10_n_10_p_0.99_use_gpu_True wall_time: 0.000245 s Throughput: 0.00687 GB/s
Benchmark: m_10_n_100_p_0.01_use_gpu_False wall_time: 9.3e-05 s Throughput: 0.0125 GB/s
Benchmark: m_10_n_100_p_0.01_use_gpu_True wall_time: 0.000253 s Throughput: 0.00458 GB/s
Benchmark: m_10_n_100_p_0.5_use_gpu_False wall_time: 9.8e-05 s Throughput: 0.0918 GB/s
Benchmark: m_10_n_100_p_0.5_use_gpu_True wall_time: 0.00026 s Throughput: 0.0346 GB/s
Benchmark: m_10_n_100_p_0.99_use_gpu_False wall_time: 0.000104 s Throughput: 0.162 GB/s
Benchmark: m_10_n_100_p_0.99_use_gpu_True wall_time: 0.000288 s Throughput: 0.0586 GB/s
Benchmark: m_10_n_1000_p_0.01_use_gpu_False wall_time: 0.000105 s Throughput: 0.111 GB/s
Benchmark: m_10_n_1000_p_0.01_use_gpu_True wall_time: 0.000283 s Throughput: 0.041 GB/s
Benchmark: m_10_n_1000_p_0.5_use_gpu_False wall_time: 0.000185 s Throughput: 0.486 GB/s
Benchmark: m_10_n_1000_p_0.5_use_gpu_True wall_time: 0.000335 s Throughput: 0.269 GB/s
Benchmark: m_10_n_1000_p_0.99_use_gpu_False wall_time: 0.000203 s Throughput: 0.83 GB/s
Benchmark: m_10_n_1000_p_0.99_use_gpu_True wall_time: 0.000346 s Throughput: 0.486 GB/s
Benchmark: m_10_n_10000_p_0.01_use_gpu_False wall_time: 0.00019 s Throughput: 0.609 GB/s
Benchmark: m_10_n_10000_p_0.01_use_gpu_True wall_time: 0.00028 s Throughput: 0.414 GB/s
Benchmark: m_10_n_10000_p_0.5_use_gpu_False wall_time: 0.00117 s Throughput: 0.771 GB/s
Benchmark: m_10_n_10000_p_0.5_use_gpu_True wall_time: 0.000426 s Throughput: 2.11 GB/s
Benchmark: m_10_n_10000_p_0.99_use_gpu_False wall_time: 0.0014 s Throughput: 1.2 GB/s
Benchmark: m_10_n_10000_p_0.99_use_gpu_True wall_time: 0.000482 s Throughput: 3.5 GB/s
Benchmark: m_10_n_100000_p_0.01_use_gpu_False wall_time: 0.00129 s Throughput: 0.899 GB/s
Benchmark: m_10_n_100000_p_0.01_use_gpu_True wall_time: 0.000336 s Throughput: 3.45 GB/s
Benchmark: m_10_n_100000_p_0.5_use_gpu_False wall_time: 0.0102 s Throughput: 0.885 GB/s
Benchmark: m_10_n_100000_p_0.5_use_gpu_True wall_time: 0.00136 s Throughput: 6.6 GB/s
Benchmark: m_10_n_100000_p_0.99_use_gpu_False wall_time: 0.0116 s Throughput: 1.45 GB/s
Benchmark: m_10_n_100000_p_0.99_use_gpu_True wall_time: 0.00233 s Throughput: 7.23 GB/s
Benchmark: m_10_n_1000000_p_0.01_use_gpu_False wall_time: 0.0111 s Throughput: 1.04 GB/s
Benchmark: m_10_n_1000000_p_0.01_use_gpu_True wall_time: 0.00109 s Throughput: 10.6 GB/s
Benchmark: m_10_n_1000000_p_0.5_use_gpu_False wall_time: 0.0895 s Throughput: 1.01 GB/s
Benchmark: m_10_n_1000000_p_0.5_use_gpu_True wall_time: 0.0103 s Throughput: 8.7 GB/s
Benchmark: m_10_n_1000000_p_0.99_use_gpu_False wall_time: 0.107 s Throughput: 1.58 GB/s
Benchmark: m_10_n_1000000_p_0.99_use_gpu_True wall_time: 0.0201 s Throughput: 8.39 GB/s
PiperOrigin-RevId: 160582709
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PiperOrigin-RevId: 160344052
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PiperOrigin-RevId: 160168545
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PiperOrigin-RevId: 159847551
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Andrew Selle
Austin Anderson
A. Unique TensorFlower
Andrew Harp
Michael Case
Benoit Steiner
Gunhan Gulsoy
Frank Chen
Allen Lavoie
Shanqing Cai
Martin Wicke
Pete Warden
Vijay Vasudevan
Eugene Brevdo