A. Unique TensorFlower [Wed, 11 Apr 2018 23:05:42 +0000 (16:05 -0700)]
Speed up computing mean confidence intervals by avoiding tf.while_loop.
Implement a vectorized way to compute the same thing instead.
PiperOrigin-RevId:
192524667
A. Unique TensorFlower [Wed, 11 Apr 2018 22:59:47 +0000 (15:59 -0700)]
support profiling multiple tpu through one grpc and one session.
data are saved with host prefix.
PiperOrigin-RevId:
192523668
A. Unique TensorFlower [Wed, 11 Apr 2018 22:44:55 +0000 (15:44 -0700)]
Adding support of core feature columns and losses to gradient boosted trees estimators.
PiperOrigin-RevId:
192521398
A. Unique TensorFlower [Wed, 11 Apr 2018 22:37:49 +0000 (15:37 -0700)]
Revealing the range of node ids in the latest layer via resource' state
PiperOrigin-RevId:
192520351
Derek Murray [Wed, 11 Apr 2018 22:33:06 +0000 (15:33 -0700)]
Increase size of //tensorflow/python/kernel_tests:sets_test to "medium".
PiperOrigin-RevId:
192519639
Alexandre Passos [Wed, 11 Apr 2018 22:23:17 +0000 (15:23 -0700)]
Fixes issue where name scope collisions could lead to an invalid variable in the metagraph.
PiperOrigin-RevId:
192518307
Sourabh Bajaj [Wed, 11 Apr 2018 22:20:11 +0000 (15:20 -0700)]
GCS Filesystem should not cache checkpoint file as we need to read the updated checkpoints from the contents.
PiperOrigin-RevId:
192517819
A. Unique TensorFlower [Wed, 11 Apr 2018 22:09:07 +0000 (15:09 -0700)]
Extend support to remove transpose/reverse on dimensions of size 1.
PiperOrigin-RevId:
192516190
A. Unique TensorFlower [Wed, 11 Apr 2018 21:39:11 +0000 (14:39 -0700)]
Adding support for batch_to_space_nd op with crops.
PiperOrigin-RevId:
192511036
A. Unique TensorFlower [Wed, 11 Apr 2018 21:04:09 +0000 (14:04 -0700)]
Adds a nodedef_fn parameter to copy_op_handler, allowing customization by mutating
NodeDef before creating the copied operation.
PiperOrigin-RevId:
192505209
A. Unique TensorFlower [Wed, 11 Apr 2018 21:02:49 +0000 (14:02 -0700)]
BREAKING_CHANGE: Remove event_ndims in Bijector, and require `log_det_jacobian` methods to take event_ndims.
The class level event_ndims parameter is being deprecated in favor of passing it in
to the `log_det_jacobian` methods.
Specific changes:
- `log_det_jacobian` signatures are now `log_det_jacobian(input, event_ndims)`
- Constructors no long have event_ndims passed in (e.g. Affine() vs. Affine(event_ndims=0)).
- All bijectors must specify a subset of [forward_min_event_ndims, inverse_min_event_ndims]. This is the minimal dimensionality the bijector operates on, with it being "broadcasted" to any passed in event_ndims (e.g. Exp has forward_min_event_ndims = 0. That means it operates on scalars. However, we can use the bijector on any event_ndims > 0 (i.e. we've broadcasted the transformation to work on any amount of event_ndims > 0), and jacobian reduction will work in those cases.
As a result of this change, all bijectors should "broadcast" (e.g. Sigmoid now works on any number of event_ndims).
Other changes (internal and documentation):
- Added clarifications on Jacobian Determinant vs. Jacobian Matrix.
- Added clarifications on min_event_ndims, and what the jacobian reduction is over.
- Changed caching of ildj to be keyed on event_ndims.
- Several bug fixes to bugs unearthed while writing this code (e.g. transformed distribution shape computation being incorrect)
PiperOrigin-RevId:
192504919
Jiri Simsa [Wed, 11 Apr 2018 20:59:58 +0000 (13:59 -0700)]
Porting tests for the `decode_proto` and `encode_proto` to OS.
PiperOrigin-RevId:
192504411
A. Unique TensorFlower [Wed, 11 Apr 2018 20:53:01 +0000 (13:53 -0700)]
Support for removing unfused quantized activation functions and min/max.
PiperOrigin-RevId:
192503204
A. Unique TensorFlower [Wed, 11 Apr 2018 20:48:43 +0000 (13:48 -0700)]
Replace examples/image_retraining by a pointer to TensorFlow Hub.
https://github.com/tensorflow/hub/tree/master/examples/image_retraining
has the same tool, upgraded to use TensorFlow Hub instead of raw graph defs.
PiperOrigin-RevId:
192502469
A. Unique TensorFlower [Wed, 11 Apr 2018 20:47:46 +0000 (13:47 -0700)]
Factor out the syntactic function scope tracking into the transformer. Choosing not to do this at static analysis because it exposes the scope to any node, making it easier to use by any specialization of a transformer.
PiperOrigin-RevId:
192502309
Francois Chollet [Wed, 11 Apr 2018 20:46:03 +0000 (13:46 -0700)]
When not necessary, avoid the creation of a `placeholder_with_default` in BN (not yet supported by TPU compilation).
PiperOrigin-RevId:
192502020
A. Unique TensorFlower [Wed, 11 Apr 2018 20:29:12 +0000 (13:29 -0700)]
DepthwiseConv Optimizations
PiperOrigin-RevId:
192499401
Anna R [Wed, 11 Apr 2018 20:22:53 +0000 (13:22 -0700)]
Internal change.
PiperOrigin-RevId:
192498471
Rohan Jain [Wed, 11 Apr 2018 19:33:04 +0000 (12:33 -0700)]
Adding hp5y back.
PiperOrigin-RevId:
192491335
Austin Anderson [Wed, 11 Apr 2018 19:32:08 +0000 (12:32 -0700)]
Internal TF Lite test changes
PiperOrigin-RevId:
192491201
Derek Murray [Wed, 11 Apr 2018 18:52:52 +0000 (11:52 -0700)]
Increase size of tensorflow/contrib/data/python/kernel_tests:batch_dataset_op_test to "medium".
PiperOrigin-RevId:
192484895
Adria Puigdomenech [Wed, 11 Apr 2018 18:36:56 +0000 (11:36 -0700)]
Update docs for softmax_cross_entropy_with_logits.
PiperOrigin-RevId:
192482242
A. Unique TensorFlower [Wed, 11 Apr 2018 18:33:38 +0000 (11:33 -0700)]
Script to create custom_ops inside a TensorFlow graphdef.
PiperOrigin-RevId:
192481690
A. Unique TensorFlower [Wed, 11 Apr 2018 18:26:25 +0000 (11:26 -0700)]
Disable prelu tests for real now.
PiperOrigin-RevId:
192480452
A. Unique TensorFlower [Wed, 11 Apr 2018 18:21:48 +0000 (11:21 -0700)]
Fix uninitialized value.
PiperOrigin-RevId:
192479630
A. Unique TensorFlower [Wed, 11 Apr 2018 18:02:48 +0000 (11:02 -0700)]
Use tf.train.get_or_create_global_step() instead of deprecated variables.get_or_create_global_step().
PiperOrigin-RevId:
192476077
Jacques Pienaar [Wed, 11 Apr 2018 16:53:21 +0000 (09:53 -0700)]
Add gradient in cond test to match CallGradInLoop.
PiperOrigin-RevId:
192463997
Mark Daoust [Wed, 11 Apr 2018 16:50:40 +0000 (09:50 -0700)]
Add a clear error message for when a doc does not have a title.
PiperOrigin-RevId:
192463583
A. Unique TensorFlower [Wed, 11 Apr 2018 16:43:32 +0000 (09:43 -0700)]
Import FunctionDef as GrapplerFunctionItem
Explicitly track function input arg expansion into Placeholders,
and keep metadata to map between FunctionDef and GraphDef connectivity
formats.
PiperOrigin-RevId:
192462592
Nupur Garg [Wed, 11 Apr 2018 16:34:51 +0000 (09:34 -0700)]
Fixing dependencies.
PiperOrigin-RevId:
192461382
Michael Case [Wed, 11 Apr 2018 16:34:44 +0000 (09:34 -0700)]
Fix Windows GPU TensorFlow Bazel builds.
The configure.py script will error out on Windows GPU builds due
to NCCL attempted to be configured (and is currently Linux only).
PiperOrigin-RevId:
192461362
A. Unique TensorFlower [Wed, 11 Apr 2018 15:30:18 +0000 (08:30 -0700)]
Temporarily remove prelu from generated_examples_zip_test
PiperOrigin-RevId:
192453411
A. Unique TensorFlower [Wed, 11 Apr 2018 15:11:50 +0000 (08:11 -0700)]
Remove unused former source of tensorflow.org/tutorials/image_retraining.
The source of https://tensorflow.org/tutorials/image_retraining has moved from
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/docs_src/tutorials
to https://github.com/tensorflow/hub/tree/master/docs/tutorials
because of its use of TensorFlow Hub.
This change replaces the now-defunct version with a pointer to the new
location, in order to avoid dead code.
PiperOrigin-RevId:
192451570
A. Unique TensorFlower [Wed, 11 Apr 2018 14:47:26 +0000 (07:47 -0700)]
Fixing propagation of minmax info on constant gather ops.
PiperOrigin-RevId:
192448922
Benjamin Kramer [Wed, 11 Apr 2018 09:16:25 +0000 (02:16 -0700)]
[TF:XLA] Mark oom_test as optonly, it's really slow when compiled without optimization.
PiperOrigin-RevId:
192420481
Nick Felt [Wed, 11 Apr 2018 06:44:12 +0000 (23:44 -0700)]
Create FileWriter <-> tf.contrib.summary compatibility layer
This provides an implementation of FileWriter, activated by passing in a `session` parameter to the constructor, that is backed by session.run'ing graph ops that manipulate a tf.contrib.summary.create_file_writer() instance. Because tf.contrib.summary.SummaryWriters are backed by shared resources in the graph, this makes it possible to have a FileWriter and a tf.contrib.summary.SummaryWriter that both write to the same events file.
This change includes some related smaller changes:
- Factors out training_utils.py into a separate target to avoid a cyclic dep
- Moves contrib/summary/summary_ops.py to python/ops/summary_ops_v2.py
- Adds SummaryWriter.init(), .flush(), and .close() op-returning methods
- Changes create_file_writer() `name` arg to default to logdir prefixed by `logdir:` so shared resources are scoped by logdir by default
- Fixes a bug with tf.contrib.summary.flush() `writer` arg
- Makes create_file_writer()'s max_queue arg behave as documented
- Adds more testing for existing tf.contrib.summary API
PiperOrigin-RevId:
192408079
A. Unique TensorFlower [Wed, 11 Apr 2018 05:44:36 +0000 (22:44 -0700)]
[XLA] Fix the size of data buffer for sparse literals.
PiperOrigin-RevId:
192404543
A. Unique TensorFlower [Wed, 11 Apr 2018 05:29:13 +0000 (22:29 -0700)]
[XLA] Redesign: implement ComputeHost.
Also support convert from/to proto for ComputeHost.
PiperOrigin-RevId:
192403660
A. Unique TensorFlower [Wed, 11 Apr 2018 04:42:14 +0000 (21:42 -0700)]
[XLA] Redesgin: implement and test Gather, Conditional.
Also support convert from/to proto for Gather.
PiperOrigin-RevId:
192400659
A. Unique TensorFlower [Wed, 11 Apr 2018 03:48:57 +0000 (20:48 -0700)]
[XLA] Redesign: implment and test CrossReplicaSum.
PiperOrigin-RevId:
192397189
A. Unique TensorFlower [Wed, 11 Apr 2018 02:44:00 +0000 (19:44 -0700)]
Update ops-related pbtxt files.
PiperOrigin-RevId:
192392702
Justin Lebar [Wed, 11 Apr 2018 02:34:54 +0000 (19:34 -0700)]
[StreamExecutor] Merge StreamExecutor's and XLA's StatusOr classes.
StatusOr is a...complicated class to write. It's really not good to
have two copies of it. They've diverged (the XLA one is more
sophisticated), and this may be causing upstream build problems with
gcc6.
PiperOrigin-RevId:
192392111
A. Unique TensorFlower [Wed, 11 Apr 2018 02:31:05 +0000 (19:31 -0700)]
[XLA] Redesign: implement and test BatchNormXXX.
PiperOrigin-RevId:
192391748
Asim Shankar [Wed, 11 Apr 2018 02:20:58 +0000 (19:20 -0700)]
experimental C API: Fix compilation failure in Windows.
The functions added in
https://github.com/tensorflow/tensorflow/commit/
be917027e37c5e8f21f6ba07f24bdbf072cf6dfd
are temporary, and their existence breaks compilation in MSVC because of
https://docs.microsoft.com/en-us/cpp/c-language/maximum-string-length
and
https://docs.microsoft.com/en-us/cpp/error-messages/compiler-errors-1/compiler-error-c2026
So just disabling it in Windows for now.
PiperOrigin-RevId:
192391164
Allen Lavoie [Wed, 11 Apr 2018 02:01:33 +0000 (19:01 -0700)]
Checkpointable: remove colocation constraints from restore ops
Mystery solved thanks to log_device_placement.
PiperOrigin-RevId:
192389574
Francois Chollet [Wed, 11 Apr 2018 01:50:58 +0000 (18:50 -0700)]
Remove BN workaround for resource variable gradients bug that was recently fixed.
PiperOrigin-RevId:
192388867
Michael Case [Wed, 11 Apr 2018 01:44:13 +0000 (18:44 -0700)]
Merge changes from github.
PiperOrigin-RevId:
192388250
Francois Chollet [Wed, 11 Apr 2018 01:41:37 +0000 (18:41 -0700)]
Fix for users who were passing `Dimension` type as `units` arg in `Dense`.
PiperOrigin-RevId:
192387984
Allen Lavoie [Wed, 11 Apr 2018 01:04:20 +0000 (18:04 -0700)]
TFTS: De-flake the LSTM test
Disabling the value-based check for now. Hopefully the shapes are deterministic.
PiperOrigin-RevId:
192383553
Allen Lavoie [Wed, 11 Apr 2018 00:57:19 +0000 (17:57 -0700)]
Forward the status from LookupResource to GetInputTensorFromVariable rather than returning a generic error status
PiperOrigin-RevId:
192382499
A. Unique TensorFlower [Wed, 11 Apr 2018 00:49:51 +0000 (17:49 -0700)]
[XLA] Redesign: implement Conj.
PiperOrigin-RevId:
192381481
A. Unique TensorFlower [Wed, 11 Apr 2018 00:47:13 +0000 (17:47 -0700)]
[XLA] Redesign: implement SliceInDim.
PiperOrigin-RevId:
192381080
A. Unique TensorFlower [Wed, 11 Apr 2018 00:44:48 +0000 (17:44 -0700)]
[XLA] Redesign: implement ReduceAll.
PiperOrigin-RevId:
192380688
A. Unique TensorFlower [Wed, 11 Apr 2018 00:41:56 +0000 (17:41 -0700)]
[XLA] Redesign: implement and test SelectAndScatter.
PiperOrigin-RevId:
192380121
Austin Anderson [Wed, 11 Apr 2018 00:37:53 +0000 (17:37 -0700)]
Update LogToSTDErr for TF Lite usage
PiperOrigin-RevId:
192379483
Jacques Pienaar [Tue, 10 Apr 2018 23:47:08 +0000 (16:47 -0700)]
Add types to error message in case of mismatch. NFC.
PiperOrigin-RevId:
192370979
Michael Kuperstein [Tue, 10 Apr 2018 23:45:19 +0000 (16:45 -0700)]
Add a thread-safe producer-consumer queue.
PiperOrigin-RevId:
192370670
Alexandre Passos [Tue, 10 Apr 2018 23:35:58 +0000 (16:35 -0700)]
Fix issue with gradients of resource variables in cond.
PiperOrigin-RevId:
192369091
A. Unique TensorFlower [Tue, 10 Apr 2018 23:32:05 +0000 (16:32 -0700)]
[XLA] Redesign: implement and test ReduceWindow.
PiperOrigin-RevId:
192368401
A. Unique TensorFlower [Tue, 10 Apr 2018 23:31:46 +0000 (16:31 -0700)]
Update programmers guide
PiperOrigin-RevId:
192368335
A. Unique TensorFlower [Tue, 10 Apr 2018 23:26:05 +0000 (16:26 -0700)]
Supporting FakeQuant num_bits and getting the fake quant op matching tensorflow.
PiperOrigin-RevId:
192367307
Chris Leary [Tue, 10 Apr 2018 23:12:19 +0000 (16:12 -0700)]
[XLA] GRPC service definition.
PiperOrigin-RevId:
192364932
Francois Chollet [Tue, 10 Apr 2018 23:11:38 +0000 (16:11 -0700)]
Fix `nn` module RNN namespace issues.
PiperOrigin-RevId:
192364808
Mingxing Tan [Tue, 10 Apr 2018 22:59:39 +0000 (15:59 -0700)]
Allow passing allow_custom_ops for toco_convert.
PiperOrigin-RevId:
192362688
Alexandre Passos [Tue, 10 Apr 2018 22:49:03 +0000 (15:49 -0700)]
Cleaning up _distributed_apply now the device policy is unnecessary
PiperOrigin-RevId:
192360913
Akshay Agrawal [Tue, 10 Apr 2018 22:48:15 +0000 (15:48 -0700)]
In `get_variable`, nest the choice to use `ResourceVariable` under an
`init_scope`.
This makes sure that, when executing eagerly, calls to `get_variable` in a
`defun`-compiled function retrieve `ResourceVariable`s instead of `Variables`.
PiperOrigin-RevId:
192360775
A. Unique TensorFlower [Tue, 10 Apr 2018 22:45:37 +0000 (15:45 -0700)]
Small changes to testing code, plus a new binary to check diff from command line.
PiperOrigin-RevId:
192360373
A. Unique TensorFlower [Tue, 10 Apr 2018 22:39:37 +0000 (15:39 -0700)]
[XLA] Redesign: implement and test Conv.
PiperOrigin-RevId:
192359226
A. Unique TensorFlower [Tue, 10 Apr 2018 22:23:05 +0000 (15:23 -0700)]
Allow negative feature values in computation for `sum` combiner.
PiperOrigin-RevId:
192355950
A. Unique TensorFlower [Tue, 10 Apr 2018 22:01:49 +0000 (15:01 -0700)]
Add quantized LogSoftmax.
PiperOrigin-RevId:
192352432
A. Unique TensorFlower [Tue, 10 Apr 2018 21:51:54 +0000 (14:51 -0700)]
Run EvaluateNodes for ModelPrunerTest_StopGradientPruning. Also updated the test fixture to inherit from GrapplerTest.
PiperOrigin-RevId:
192350828
Yu-Cheng Ling [Tue, 10 Apr 2018 21:24:51 +0000 (14:24 -0700)]
ParseOpData returns kTfLiteError when error happens.
PiperOrigin-RevId:
192346224
A. Unique TensorFlower [Tue, 10 Apr 2018 21:22:33 +0000 (14:22 -0700)]
Bug fix for statistical_testing:
- Max/Min computations should be done over the sample dimension.
- Change dominate check to be greater_equal instead of greater (for matching dimensions).
PiperOrigin-RevId:
192345809
A. Unique TensorFlower [Tue, 10 Apr 2018 21:16:36 +0000 (14:16 -0700)]
Add missing import for RNNClassifier
PiperOrigin-RevId:
192344760
A. Unique TensorFlower [Tue, 10 Apr 2018 21:04:29 +0000 (14:04 -0700)]
[XLA] Redesign: implement and test Rev, BitcastConvertType, Map, and ReducePrecision.
PiperOrigin-RevId:
192342686
Suharsh Sivakumar [Tue, 10 Apr 2018 21:02:02 +0000 (14:02 -0700)]
Pad support for quantized zero.
PiperOrigin-RevId:
192342172
A. Unique TensorFlower [Tue, 10 Apr 2018 20:59:49 +0000 (13:59 -0700)]
test previously untested eval codepaths.
PiperOrigin-RevId:
192341561
A. Unique TensorFlower [Tue, 10 Apr 2018 20:57:00 +0000 (13:57 -0700)]
Handle duplicate features by coalescing them together into a single feature.
PiperOrigin-RevId:
192341065
Francois Chollet [Tue, 10 Apr 2018 20:49:37 +0000 (13:49 -0700)]
Refactor layers:
- tf.layers layers now subclasses tf.keras.layers layers.
- tf.keras.layers is now agnostic to variable scopes and global collections (future-proof). It also uses ResourceVariable everywhere by default.
- As a result tf.keras.layers is in general lower-complexity, with fewer hacks and workarounds. However some of current code is temporary (variable creation should be moved to Checkpointable, arguably, and there are some dependency issues that will require later refactors).
- The legacy tf.layers layers behavior is kept, with references to variable scopes and global collections injected in the subclassed tf.layers.base.Layer class (the content of tf.layers.base.Layer is the complexity differential between the old implementation and the new one).
Note: this refactor does slightly change the behavior of tf.layers.base.Layer, by disabling extreme edge-case behavior that either has long been invalid, or is dangerous and should most definitely be disabled. This will not affect any users since such behaviors only existed in the base Layer unit tests. The behaviors disabled are:
- Option to create reusable variables in `call` (already invalid for some time).
- Option to use a variable scope to create layer variables outside of the layer while not having the layer track such variables locally.
PiperOrigin-RevId:
192339798
Smit Hinsu [Tue, 10 Apr 2018 20:32:38 +0000 (13:32 -0700)]
Update declaration order in staging ops Buffer class according to C++ style guide
PiperOrigin-RevId:
192336966
Allen Lavoie [Tue, 10 Apr 2018 19:54:03 +0000 (12:54 -0700)]
Checkpointable: wrap restore ops in init_scope
This should make restore() work with defun-wrapped code, when variables are
created inside the function. Just lifts the restore code into the outer
context. Adds a test for it.
PiperOrigin-RevId:
192331065
A. Unique TensorFlower [Tue, 10 Apr 2018 19:28:56 +0000 (12:28 -0700)]
Employ array flat sizes more directly in reference_ops.
PiperOrigin-RevId:
192327464
Noah Eisen [Tue, 10 Apr 2018 19:28:04 +0000 (12:28 -0700)]
Upgrade gRPC version and fix file duplication
This bumps the gRPC version used in OSS Tensorflow to pick up grpc/grpc#14541, which exposes gRPC serialization classes which were previously hidden in an internal namespace. Using these files eliminates files duplicated from gRPC repo
PiperOrigin-RevId:
192327358
A. Unique TensorFlower [Tue, 10 Apr 2018 19:05:06 +0000 (12:05 -0700)]
Expand list of value-preserving ops. This will increase the number of graphs where we can apply the involution and mul->conv fusion optimizations.
PiperOrigin-RevId:
192323712
A. Unique TensorFlower [Tue, 10 Apr 2018 18:57:40 +0000 (11:57 -0700)]
Enable loop-invariant node motion in the Grappler loop optimizer.
Thanks to the team at Alibaba, who contributed the original version of this code.
PiperOrigin-RevId:
192322484
A. Unique TensorFlower [Tue, 10 Apr 2018 18:33:45 +0000 (11:33 -0700)]
Fix bug in TFLite Interpreter python interface
PiperOrigin-RevId:
192318426
A. Unique TensorFlower [Tue, 10 Apr 2018 18:20:38 +0000 (11:20 -0700)]
[XLA] Fix the size of the data returned from Literal for sparse literals.
PiperOrigin-RevId:
192315888
A. Unique TensorFlower [Tue, 10 Apr 2018 18:09:37 +0000 (11:09 -0700)]
Adds support for hoisting out common denominator in arithmetic_optimizer
PiperOrigin-RevId:
192314177
Nick Desaulniers [Tue, 10 Apr 2018 17:52:15 +0000 (10:52 -0700)]
[TF:XLA] fix a segfault in MakeFakeArguments, and add a test case.
PiperOrigin-RevId:
192310749
Asim Shankar [Tue, 10 Apr 2018 17:43:14 +0000 (10:43 -0700)]
Simplify test_util.run_in_graph_and_eager_modes
- Get rid of unnecessary options
- Update various resource variable tests so that they correctly exercise the cases where the variables are placed on GPU (these "with tf.device('/cpu:0')" blocks that were added for eager execution are no longer necessary)
PiperOrigin-RevId:
192309109
Yao Zhang [Tue, 10 Apr 2018 17:07:31 +0000 (10:07 -0700)]
Place data format op on CPU:0.
PiperOrigin-RevId:
192302833
A. Unique TensorFlower [Tue, 10 Apr 2018 16:50:02 +0000 (09:50 -0700)]
Fix markdown in a couple of tf.estimator docstrings.
PiperOrigin-RevId:
192299871
A. Unique TensorFlower [Tue, 10 Apr 2018 16:41:45 +0000 (09:41 -0700)]
Remove manifest_merger from tensorflow_demo. This is an internal-only attribute
that is being removed from bazel.
PiperOrigin-RevId:
192298746
Mark Daoust [Tue, 10 Apr 2018 16:40:25 +0000 (09:40 -0700)]
Fix capitalization (on master)
PiperOrigin-RevId:
192298563
Benjamin Kramer [Tue, 10 Apr 2018 16:26:59 +0000 (09:26 -0700)]
[XLA:GPU] Add infrastructure for unrolling kernels to improve bandwidth utilization.
We often have simple kernels that do very little actual work, duplicating that
can increase the used bandwidth.
This change introduces flags and infrastructure for unrolling kernels, it
doesn't include any cost heuristics and is disabled by default. Based on code
written by Bixia Zheng.
PiperOrigin-RevId:
192296781
A. Unique TensorFlower [Tue, 10 Apr 2018 15:55:24 +0000 (08:55 -0700)]
Added minimum op, better type support in maximum.
PiperOrigin-RevId:
192292693
A. Unique TensorFlower [Tue, 10 Apr 2018 15:51:18 +0000 (08:51 -0700)]
Update document
PiperOrigin-RevId:
192292160
A. Unique TensorFlower [Tue, 10 Apr 2018 14:47:14 +0000 (07:47 -0700)]
Suppress -Wself-assign in self-assignment tests, which triggers in newer clang
revisions.
PiperOrigin-RevId:
192284946
A. Unique TensorFlower [Tue, 10 Apr 2018 06:13:11 +0000 (23:13 -0700)]
[XLA] Redesign: implement and test custom call.
PiperOrigin-RevId:
192241311
A. Unique TensorFlower [Tue, 10 Apr 2018 05:04:04 +0000 (22:04 -0700)]
[XLA] Redesign: implement XlaBuilder::IsConstant, XlaBuidler::BuildConstantSubGraph, and Client::ComputeConstant(XlaComputation...).
- Since the builder no longer holds a client, we moved the ComputeConstant to the client side so that it can communicate with the service side. Now we add XlaBuilder::BuildConstantSubGraph, which is only responsible for building a subgraph that is compile-time constant.
- Before this change, every XlaBuilder has a unique id. Now since it also builds constant subgraph, we give every XlaComputation being built a global unique id, and uniquify instruction names when actually building the XlaComputation.
PiperOrigin-RevId:
192236997