A. Unique TensorFlower [Tue, 1 May 2018 00:46:35 +0000 (17:46 -0700)]
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId:
194874988
A. Unique TensorFlower [Tue, 1 May 2018 00:41:33 +0000 (17:41 -0700)]
[XLA] Redesign: migrate tensorflow/compiler/tf2xla, tensorflow/compiler/aot:
- xla::ComputationBuilder -> xla::XlaBuilder
- xla::ComputationDataHandle -> xla::XlaOp
- xla::Computation -> xla::XlaComputation
- xla::CompileOnlyClient::AotComputationInstance -> xla::CompileOnlyClient::AotXlaComputationInstance
- xla::SessionModule -> xla::HloSnapshot
PiperOrigin-RevId:
194874462
Jiri Simsa [Tue, 1 May 2018 00:38:38 +0000 (17:38 -0700)]
[tf.data] Adding an experimental `group_by_reducer` transformation which groups elements of an input pipeline by a key, applies a reduce function to elements of each group "on-the-fly", and outputs the results once all input elements have been processed.
PiperOrigin-RevId:
194874087
A. Unique TensorFlower [Tue, 1 May 2018 00:14:50 +0000 (17:14 -0700)]
Internal cleanup.
PiperOrigin-RevId:
194871141
Alexandre Passos [Tue, 1 May 2018 00:11:40 +0000 (17:11 -0700)]
Faster reduce_logsoftmax (specially in eager) and bugfixes in broadcast_to
PiperOrigin-RevId:
194870645
A. Unique TensorFlower [Mon, 30 Apr 2018 23:43:14 +0000 (16:43 -0700)]
Small fix to prevent a crash if the delegate has not implemented FreeBufferHandle.
PiperOrigin-RevId:
194866595
Yuefeng Zhou [Mon, 30 Apr 2018 23:12:33 +0000 (16:12 -0700)]
Add MultiNodeDataset and MultiNodeIterator which are intended to work for multi-node distribution strategy.
PiperOrigin-RevId:
194862215
Bixia Zheng [Mon, 30 Apr 2018 23:11:38 +0000 (16:11 -0700)]
[XLA] Change the TF2XLA bridge to perform F16 reduction using F32 data type.
Add test cases to test that reduce sum for bfloat16 and float16 doesn't lose too
much precision.
PiperOrigin-RevId:
194862078
Yifei Feng [Mon, 30 Apr 2018 22:56:26 +0000 (15:56 -0700)]
Improve error message for pip_smoke_test.
PiperOrigin-RevId:
194859591
A. Unique TensorFlower [Mon, 30 Apr 2018 22:41:28 +0000 (15:41 -0700)]
Do not allocate memory for literal as it will be allocated later.
PiperOrigin-RevId:
194857422
A. Unique TensorFlower [Mon, 30 Apr 2018 22:19:00 +0000 (15:19 -0700)]
Enhancements to GRAPHVIZ_DOT output:
-edge weights added to encourage straighter main data-flow
-line thickness proportional to log(data_size)
-set global parameter "nslimit" to prevent excessive layout time for difficult graphs
PiperOrigin-RevId:
194854051
A. Unique TensorFlower [Mon, 30 Apr 2018 21:56:13 +0000 (14:56 -0700)]
Implement unary chain hoisting optimization for Concat, Split, and SplitV.
For Concat, hoist prefix chains of unary ops before concatenation, e.g.
// Rewrites
// Concat({Cos(Exp(a)), Cos(Exp(b)), Cos(Exp(c))})
// into
// Cos(Exp(Concat({a, b, c}))).
For Split/SplitV hoist unary postfix chains before the split, e.g.
// Rewrites
// [Cos(Exp(y)) for y in Split(x)]
// into
// [y for y in Split(Cos(Exp(x)))].
The new optimization is off by default.
PiperOrigin-RevId:
194850318
Eli Bendersky [Mon, 30 Apr 2018 21:39:25 +0000 (14:39 -0700)]
Add XLA logo to its documentation page
PiperOrigin-RevId:
194847599
Alexandre Passos [Mon, 30 Apr 2018 21:34:01 +0000 (14:34 -0700)]
Do not cast int64 to int32 in keras embedding lookups.
Often when working on the GPU with tf int64s are more efficient as int32s will
be copied back and forth to the host quite a bit.
PiperOrigin-RevId:
194846629
Dimitris Vardoulakis [Mon, 30 Apr 2018 21:28:46 +0000 (14:28 -0700)]
[TF:XLA] Fix some unexpected memory leak in hlo_graph_dumper_test.
PiperOrigin-RevId:
194845792
Petros Mol [Mon, 30 Apr 2018 21:26:08 +0000 (14:26 -0700)]
Removing an obsolete TODO
PiperOrigin-RevId:
194845376
A. Unique TensorFlower [Mon, 30 Apr 2018 21:14:43 +0000 (14:14 -0700)]
Push down const inputs into the function of specialized functions.
PiperOrigin-RevId:
194843380
Jiri Simsa [Mon, 30 Apr 2018 21:08:29 +0000 (14:08 -0700)]
[tf.data] Adding support for `tf.SparseTensor` into `tf.contrib.data.scan()`
PiperOrigin-RevId:
194842266
A. Unique TensorFlower [Mon, 30 Apr 2018 20:51:34 +0000 (13:51 -0700)]
Extend SDCAOptimizer functionality to prune negative indices (the default value for OOV with tf.feature_column.FeatureColumn, sparse / categorical).
PiperOrigin-RevId:
194839178
Shashi Shekhar [Mon, 30 Apr 2018 20:50:17 +0000 (13:50 -0700)]
Fix a bug in profiler.
PiperOrigin-RevId:
194838948
Joshua V. Dillon [Mon, 30 Apr 2018 20:34:46 +0000 (13:34 -0700)]
Cleanup handling of non-Tensor valued event_ndims in Bijector.
PiperOrigin-RevId:
194836408
HyoukJoong Lee [Mon, 30 Apr 2018 19:49:33 +0000 (12:49 -0700)]
Fix device assignment in xla/service/service.cc to build the assignment based on
the provided device handles rather than using the default assignment.
PiperOrigin-RevId:
194829761
Tom Hennigan [Mon, 30 Apr 2018 19:47:35 +0000 (12:47 -0700)]
Fix typos in tf.GradientTape documentation.
PiperOrigin-RevId:
194829506
Igor Saprykin [Mon, 30 Apr 2018 19:41:12 +0000 (12:41 -0700)]
When a mirrored variable is fetched in cross-tower mode, fetch its primary variable.
This prevents errors like
ValueError: Fetch argument MirroredVariable({'/job:localhost/replica:0/task:0/device:GPU:0': <tf.Variable 'global_step:0' shape=() dtype=int64>, '/job:localhost/replica:0/task:0/device:GPU:1': <tf.Variable 'global_step/replica_1:0' shape=() dtype=int64>}) cannot be interpreted as a Tensor. (Device /job:localhost/replica:0/task:0/device:CPU:0 not found in ['/job:localhost/replica:0/task:0/device:GPU:0', '/job:localhost/replica:0/task:0/device:GPU:1'] (current device ))
I ran distribute/examples/resnet with and without the change and it fixed the problem.
PiperOrigin-RevId:
194828672
Sanjoy Das [Mon, 30 Apr 2018 19:33:21 +0000 (12:33 -0700)]
[TF:XLA] Bump open source llvm revision to r331173
PiperOrigin-RevId:
194827639
Benoit Steiner [Mon, 30 Apr 2018 19:13:00 +0000 (12:13 -0700)]
Use the default rewriter config instead of a custom one
PiperOrigin-RevId:
194824761
A. Unique TensorFlower [Mon, 30 Apr 2018 19:01:35 +0000 (12:01 -0700)]
Fix bugs in AssignOp:
1. Releasing the unique_ptr would "leak" a TensorBuffer refcount.
2. The output shape is defined by rhs, not lhs.
PiperOrigin-RevId:
194822802
A. Unique TensorFlower [Mon, 30 Apr 2018 18:51:03 +0000 (11:51 -0700)]
-Miscellaneous code clean-up
PiperOrigin-RevId:
194821201
Yifei Feng [Mon, 30 Apr 2018 18:26:52 +0000 (11:26 -0700)]
Add --keep_going flag to bazel query in pip_smoke_test to bypass bazel query cannot handle select statement.
PiperOrigin-RevId:
194816816
Dustin Tran [Mon, 30 Apr 2018 18:14:51 +0000 (11:14 -0700)]
Add snippet illustrating discretized logistic mixture for WaveNet.
Currently, the example manually centers the bins in order to capture ?rounding? intervals and not ?ceiling? intervals. In the future, we may simplify the example by expanding QuantizedDistribution with a binning argument.
PiperOrigin-RevId:
194814662
Mark Daoust [Mon, 30 Apr 2018 18:01:54 +0000 (11:01 -0700)]
Switch install get_started link
PiperOrigin-RevId:
194811871
Ayush Dubey [Mon, 30 Apr 2018 17:36:00 +0000 (10:36 -0700)]
Prepare nodes that will be allocated using ScopedAllocator.
This includes changes to Executor that (1) set scope_id on nodes that are
decorated with _scoped_allocator attribute, (2) mark such nodes to never
forward input.
PiperOrigin-RevId:
194807086
A. Unique TensorFlower [Mon, 30 Apr 2018 16:46:59 +0000 (09:46 -0700)]
Remove manifest_merger that is being removed from Bazel 0.13.0.
PiperOrigin-RevId:
194798790
Tom Hennigan [Mon, 30 Apr 2018 16:31:54 +0000 (09:31 -0700)]
Clarify return type for defun as zero or more `tf.Tensor`s.
PiperOrigin-RevId:
194796621
Alexandre Passos [Mon, 30 Apr 2018 16:29:31 +0000 (09:29 -0700)]
Fixes to tape gradient for providing outputs and having multiple targets.
PiperOrigin-RevId:
194796304
A. Unique TensorFlower [Mon, 30 Apr 2018 13:59:23 +0000 (06:59 -0700)]
Adding a depthwise convolution kernel op (with label 'cudnn_grouped_convolution') which forwards to cuDNN grouped convolutions.
PiperOrigin-RevId:
194780352
A. Unique TensorFlower [Mon, 30 Apr 2018 11:21:09 +0000 (04:21 -0700)]
Cleaning up tracing code.
PiperOrigin-RevId:
194768567
Russell Power [Sun, 29 Apr 2018 22:37:12 +0000 (15:37 -0700)]
Keras: Supply `maximum_iterations` to the TF backend when possible.
PiperOrigin-RevId:
194723199
Russell Power [Sun, 29 Apr 2018 22:30:22 +0000 (15:30 -0700)]
Add support for a clean checkpoint and shutdown in response to a termination notice.
PiperOrigin-RevId:
194722985
Sherry Moore [Sun, 29 Apr 2018 16:56:16 +0000 (09:56 -0700)]
Added del_hparam(), the counter part of add_hparam.
PiperOrigin-RevId:
194711291
Richard Wei [Sun, 29 Apr 2018 06:51:28 +0000 (23:51 -0700)]
Update the Swift for TensorFlow community page.
PiperOrigin-RevId:
194687897
Dimitris Vardoulakis [Sun, 29 Apr 2018 05:19:22 +0000 (22:19 -0700)]
[TF:XLA]
- Require a module config when creating an HloModule.
- All tests using HloTestBase create a module using CreateNewModule.
PiperOrigin-RevId:
194684585
A. Unique TensorFlower [Sun, 29 Apr 2018 02:47:42 +0000 (19:47 -0700)]
Internally rewrite RevBlock to use @custom_gradient
PiperOrigin-RevId:
194679657
Asim Shankar [Sat, 28 Apr 2018 18:31:12 +0000 (11:31 -0700)]
Java: Release 1.8.0
PiperOrigin-RevId:
194663800
Brennan Saeta [Sat, 28 Apr 2018 17:51:32 +0000 (10:51 -0700)]
[tf.data] Use core::ScopedUnref to avoid resource leakage.
If for whatever reason iterator_resource->set_iterator did not return Status::OK(), we would leak a reference on the iterator_resource. With this change, we won't leak the resource.
PiperOrigin-RevId:
194662412
A. Unique TensorFlower [Sat, 28 Apr 2018 17:40:49 +0000 (10:40 -0700)]
Allow not specifying eval_spec when evaluation is not necessarily run.
PiperOrigin-RevId:
194661814
Mingsheng Hong [Sat, 28 Apr 2018 15:55:08 +0000 (08:55 -0700)]
This is Part 1 of Swift<->TF sends/recvs: support sending tensors from TF to
Swift via direct session.
The changes are:
1. Added an experimental TF C API TF_DequeueNamedTensor() to consume the queued
tensors from a dequeue op. One use case is for the Swift host program to consume
tensors sent by TF, where the queue is a Fifo queue managed by TF.
Enqueuing tensors are done by running an enqueue op in a graph. The queued
tensors are not persisted, and will be lost if the process/machine dies. The
queue has a bounded capacity, to prevent producer from being unboundedly ahead
of consumer.
while caller of TF_DequeueNamedTensor() could have run the Fifo dequeue op
directly, the extra level of indirection provided by this API allows us to more
easily switch the queuing impl to another mechanism. If and once we stabilize on
the Fifo queue based impl, we can remove this API.
2. Added a new S4TF runtime API _TFCReceiveTensorHandle() that receives a tensor
via TF_DequeueNamedTensor().
3. To support tensor receives in host program, taught PartitionCloner in
TFPartition to insert SIL code to call _TFCReceiveTensorHandle().
4. To support tensor sends in accelerator program, taught TFGraphLowering in
generate QueueEnqueueV2 nodes in the TF graphs, with appropriate control
dependence to make sure these nodes get executed.
a) The enqueue produces no output tensor, and is executed only for its side
effect. To ensure it is executed properly, control dependence is wired up. The
general design is: before a TF_Function (can be a top level function or the body
function of a while op) produces an output tensor OT, make OT control dependent
on the enqueue op, so that enqueue gets run before the function returns.
b) If tensor send occurs in a while loop body, the body logic currently gets
lowered in 3 places: the while op cond function, the while op body function, and
the ops at the same level as the while op itself (for running the last loop
iteration). In this case, the correct TFGraph lowering is to run the enqueue in
the last 2 out of the 3 places above.
After this CL, the dual versions of the above (dequeuing via an op, and
enqueuing via C API) will be added.
PiperOrigin-RevId:
194658511
Anna R [Sat, 28 Apr 2018 07:13:09 +0000 (00:13 -0700)]
Removing hidden_ops.txt file.
PiperOrigin-RevId:
194637892
A. Unique TensorFlower [Sat, 28 Apr 2018 06:35:42 +0000 (23:35 -0700)]
Fix kernel creation bug, due to constant folding always use CPU.
PiperOrigin-RevId:
194636076
A. Unique TensorFlower [Sat, 28 Apr 2018 05:57:36 +0000 (22:57 -0700)]
Add test case on compiling dense layer node with XLA.
PiperOrigin-RevId:
194634563
Patrick Nguyen [Sat, 28 Apr 2018 04:58:17 +0000 (21:58 -0700)]
Properly export recurrent in contrib.
The following symbols are available:
- tf.contrib.recurrent.bidirectional_functional_rnn
- tf.contrib.recurrent.functional_rnn
- tf.contrib.recurrent.Recurrent
PiperOrigin-RevId:
194632138
Sanjoy Das [Sat, 28 Apr 2018 03:06:35 +0000 (20:06 -0700)]
HLO profiling for tfcompile.
This CL extends the --xla_hlo_profile knob to tfcompile. tf_library rules can
now set enable_xla_hlo_profiling to True to:
- Have the generated code update per-HLO profile counters as it executes.
- Have tfcompile generate and serialize an instance HloProfilePrinterData with
a compiled model that can be used to pretty-print the collected profile
counters.
PiperOrigin-RevId:
194627272
A. Unique TensorFlower [Sat, 28 Apr 2018 02:23:16 +0000 (19:23 -0700)]
Add internal uint b stats to TfOpStats.
PiperOrigin-RevId:
194625155
Sanjoy Das [Sat, 28 Apr 2018 01:41:27 +0000 (18:41 -0700)]
Split up ElementaIrEmitter::MakeElementGenerator into smaller functions; NFC
PiperOrigin-RevId:
194622198
A. Unique TensorFlower [Sat, 28 Apr 2018 01:24:57 +0000 (18:24 -0700)]
[XLA] Fix bug in ShapeUtil::StripDegenerateDimensions
PiperOrigin-RevId:
194621163
Brennan Saeta [Sat, 28 Apr 2018 00:08:57 +0000 (17:08 -0700)]
Make RetryingFileSystem a template.
PiperOrigin-RevId:
194614877
Petros Mol [Fri, 27 Apr 2018 23:22:43 +0000 (16:22 -0700)]
Minor fix to SDCAOptimizer documentation.
PiperOrigin-RevId:
194609850
Nick Desaulniers [Fri, 27 Apr 2018 23:14:49 +0000 (16:14 -0700)]
[TF:XLA:INTERPRETER] implement bfloat16 comparisons
PiperOrigin-RevId:
194608854
A. Unique TensorFlower [Fri, 27 Apr 2018 22:28:01 +0000 (15:28 -0700)]
Fix broken ElementWiseFusionTest.
PiperOrigin-RevId:
194602336
Akshay Modi [Fri, 27 Apr 2018 21:47:12 +0000 (14:47 -0700)]
Minor eager service proto clarification.
PiperOrigin-RevId:
194596337
Sanjoy Das [Fri, 27 Apr 2018 21:36:24 +0000 (14:36 -0700)]
[XLA:CPU] Implement fusion for the Gather HLO
PiperOrigin-RevId:
194594759
A. Unique TensorFlower [Fri, 27 Apr 2018 21:28:12 +0000 (14:28 -0700)]
If two identical functions are given different grad func,
they should be named differently. Otherwise, tf.gradients
gets confused.
PiperOrigin-RevId:
194593519
A. Unique TensorFlower [Fri, 27 Apr 2018 21:05:46 +0000 (14:05 -0700)]
Remove whitespaces from tags in saved_model_cli.
This currently causes tags mismatch because a leading whitespace is added
within the saved_model_cli when doing ', '.join(tag_set).
PiperOrigin-RevId:
194590154
Sanjoy Das [Fri, 27 Apr 2018 20:55:35 +0000 (13:55 -0700)]
[TF:XLA] Bump open source llvm revision to r330950
PiperOrigin-RevId:
194588403
Sourabh Bajaj [Fri, 27 Apr 2018 20:01:44 +0000 (13:01 -0700)]
Remove scope name from bfloat16
PiperOrigin-RevId:
194580957
Asim Shankar [Fri, 27 Apr 2018 19:59:20 +0000 (12:59 -0700)]
eager: Improve error message when GradientTape is used incorrectly.
PiperOrigin-RevId:
194580654
A. Unique TensorFlower [Fri, 27 Apr 2018 19:46:46 +0000 (12:46 -0700)]
Replace GrapplerFunctionItem input with a constant.
PiperOrigin-RevId:
194579253
A. Unique TensorFlower [Fri, 27 Apr 2018 18:41:21 +0000 (11:41 -0700)]
Internally rewrite @recompute_grad to use @custom_gradient
PiperOrigin-RevId:
194571125
A. Unique TensorFlower [Fri, 27 Apr 2018 16:25:52 +0000 (09:25 -0700)]
Added string conversion operator to tensorflow::StringPiece.
Marked ToString method as deprecated.
This will allow tensorflow::StringPiece to be replaced with absl::string_view (once the deprecated method is removed) as absl::string_view does not contain the ToString method.
PiperOrigin-RevId:
194551042
A. Unique TensorFlower [Fri, 27 Apr 2018 14:21:37 +0000 (07:21 -0700)]
Fix bug in @custom_gradient in Eager mode with numpy inputs
PiperOrigin-RevId:
194538828
Sanjoy Das [Fri, 27 Apr 2018 12:31:38 +0000 (05:31 -0700)]
[TF:XLA] Bump open source llvm revision to r330926
PiperOrigin-RevId:
194530610
Yu-Cheng Ling [Fri, 27 Apr 2018 07:07:07 +0000 (00:07 -0700)]
Automated g4 rollback of changelist
194306629
PiperOrigin-RevId:
194507274
A. Unique TensorFlower [Fri, 27 Apr 2018 05:06:36 +0000 (22:06 -0700)]
Reenable factorization_ops_test on ASAN after adding shard_count = 4. Tests now
finish with these stats: "max = 150.6s, min = 27.4s, avg = 66.3s, dev = 19.5s" over 1000 runs and this runtime distribution should be fairly safe for deadline of 300s.
PiperOrigin-RevId:
194500204
A. Unique TensorFlower [Fri, 27 Apr 2018 02:35:10 +0000 (19:35 -0700)]
Implement floor operator
PiperOrigin-RevId:
194490433
A. Unique TensorFlower [Fri, 27 Apr 2018 01:24:48 +0000 (18:24 -0700)]
Automated g4 rollback of changelist
194442428
PiperOrigin-RevId:
194485227
A. Unique TensorFlower [Fri, 27 Apr 2018 01:03:50 +0000 (18:03 -0700)]
Free scratch memory in ~BaseGPUDevice.
PiperOrigin-RevId:
194483351
A. Unique TensorFlower [Fri, 27 Apr 2018 00:56:08 +0000 (17:56 -0700)]
Implements linear no-offset (aka symmetric) quantizer.
PiperOrigin-RevId:
194482547
Allen Lavoie [Thu, 26 Apr 2018 23:40:16 +0000 (16:40 -0700)]
Split out SaveableObjects into their own file
Pulls a couple build rules out of tensorflow/python:training. I'd like to use a SaveableObject in :checkpointable (for saving some Python state by default), which means the file with SaveableObject has to be essientially dependency-free.
PiperOrigin-RevId:
194473987
Malcolm Reynolds [Thu, 26 Apr 2018 23:24:51 +0000 (16:24 -0700)]
More informative error message when loading a graph_def which uses unknown ops.
Fixes #17014
PiperOrigin-RevId:
194472083
Shashi Shekhar [Thu, 26 Apr 2018 23:11:11 +0000 (16:11 -0700)]
Fix some flakiness in test.
PiperOrigin-RevId:
194470125
A. Unique TensorFlower [Thu, 26 Apr 2018 23:01:00 +0000 (16:01 -0700)]
Internal change.
PiperOrigin-RevId:
194468535
Raghuraman Krishnamoorthi [Thu, 26 Apr 2018 22:40:15 +0000 (15:40 -0700)]
Handle variations in scoping of batch norms for correct unfused batch norm folding.
PiperOrigin-RevId:
194465704
Sanjoy Das [Thu, 26 Apr 2018 22:33:38 +0000 (15:33 -0700)]
Remove the inter-op thread pool
Forgot about this in cl/
194299356. However, when I checked cl/
194299356, I
found that we actually (incorrectly?) used the *intra* op thread pool in the
parallel CPU executable? Does that mean the inter op thread pool was always
unused?
PiperOrigin-RevId:
194464734
Shivani Agrawal [Thu, 26 Apr 2018 22:24:44 +0000 (15:24 -0700)]
[tf.data] Adds support for adding scalar value to `StatsAggregator`.
PiperOrigin-RevId:
194463407
Shivani Agrawal [Thu, 26 Apr 2018 22:15:37 +0000 (15:15 -0700)]
[tf.data] Changes description for `bytes_produced_stats` and `latency_stats` in accordance with the breaking changes in cl/
193432590.
PiperOrigin-RevId:
194461964
James Martens [Thu, 26 Apr 2018 22:13:48 +0000 (15:13 -0700)]
- Default values of cov and inv variables are now 0. Zero-debiasing (as in Adam) is used for the cov matrices. Note this this requires that cov variables, then inv variables, are all updated before the first training update is made. All examples have been modified to do this. NOTE: you *may* have to increase the damping value you use at the start of optimization after this change (or throughout, if you are using a constant value).
- Changed the initial default approximation used for generic registrations to "diagonal"
- Convenience properties for ops and thunks have all been removed, along with "make_ops_and_vars". User should only interface with "make_vars_and_create_op_thunks" (or maybe "create_ops_and_vars_thunks").
PiperOrigin-RevId:
194461623
A. Unique TensorFlower [Thu, 26 Apr 2018 22:08:24 +0000 (15:08 -0700)]
Add support for variables in tf.custom_gradient
PiperOrigin-RevId:
194460752
A. Unique TensorFlower [Thu, 26 Apr 2018 22:07:43 +0000 (15:07 -0700)]
Disable triangular_solve_test on ASAN due to flaky time outs.
PiperOrigin-RevId:
194460641
Daniel Zheng [Thu, 26 Apr 2018 22:02:53 +0000 (15:02 -0700)]
Edit tensorflow.org/community/swift page.
PiperOrigin-RevId:
194459754
A. Unique TensorFlower [Thu, 26 Apr 2018 21:59:29 +0000 (14:59 -0700)]
Adds optimization to convert division of sqrt to multiplication of rsqrt
PiperOrigin-RevId:
194459152
A. Unique TensorFlower [Thu, 26 Apr 2018 21:53:19 +0000 (14:53 -0700)]
Disable densenet_test on MSAN due to flaky time outs.
PiperOrigin-RevId:
194458270
A. Unique TensorFlower [Thu, 26 Apr 2018 20:53:17 +0000 (13:53 -0700)]
Remove unnecessary TF_NEED_GCP from build scripts.
PiperOrigin-RevId:
194448612
A. Unique TensorFlower [Thu, 26 Apr 2018 20:35:35 +0000 (13:35 -0700)]
Adding some slightly more exhaustive strided_slice test parameters.
PiperOrigin-RevId:
194446000
Tony Wang [Thu, 26 Apr 2018 20:30:15 +0000 (13:30 -0700)]
[TF:XLA] Add INTEL MKL_DNN Conv2d method to XLA/CPU backend
The INTEL MKL_DNN provides 32-bit Conv2d method. With INTEL_MKL flag set,
XLA backend emits runtime call to MKL_DNN Conv2d instead of Eigen.
PiperOrigin-RevId:
194445212
Benoit Steiner [Thu, 26 Apr 2018 20:19:39 +0000 (13:19 -0700)]
Run 2 passes of rewrites by default
PiperOrigin-RevId:
194443770
A. Unique TensorFlower [Thu, 26 Apr 2018 20:15:55 +0000 (13:15 -0700)]
Delay deleting RingReducer until group_size_tensor_ready_ has
been notified. Otherwise this can result in a bad pointer dereference
under some early abort conditions.
PiperOrigin-RevId:
194443206
Guangda Lai [Thu, 26 Apr 2018 20:12:04 +0000 (13:12 -0700)]
Fix build by adding op_lib dependencies to trt_engine_op_loader, and remove
unnecessary dependency from the tf_gen_op_libs.
PiperOrigin-RevId:
194442728
A. Unique TensorFlower [Thu, 26 Apr 2018 20:10:05 +0000 (13:10 -0700)]
Automated g4 rollback of changelist
194269675
PiperOrigin-RevId:
194442428
Akshay Modi [Thu, 26 Apr 2018 20:05:55 +0000 (13:05 -0700)]
gRPC worker cache owns a shared_ptr to the channel cache
PiperOrigin-RevId:
194441794
A. Unique TensorFlower [Thu, 26 Apr 2018 19:42:54 +0000 (12:42 -0700)]
For tf.gradients(), do not backpropagate through integer tensors.
All integer tensors are now considered constant with respect to all `xs`.
This fixes a bug in gradients through tf.while_loop.
PiperOrigin-RevId:
194438529