David Majnemer [Wed, 28 Mar 2018 00:35:14 +0000 (17:35 -0700)]
[XLA] Accurately measure FLOPs for base-dilated convolutions
We incorrectly counted FLOPs when the output and kernel line up to access the
padding or the dilated area. These should not be accounted as contributing to
the FLOP count.
PiperOrigin-RevId:
190702384
Justin Lebar [Wed, 28 Mar 2018 00:16:31 +0000 (17:16 -0700)]
[XLA] Assert that all buffers and sub-buffers passed to XLA have an explicit pointer.
In the past, we allowed sub-buffers to be null if the top-level tuple
was non-null.
This doesn't actually work well on the GPU: For ops that are implemented
using cudnn or cublas, we have to have a pointer to the sub-buffer on
the host in order to make the call. Retrieving it from the GPU in an
efficient manner is complicated, and the best we can come up with isn't
all that efficient (fundamentally having to pull data down from the GPU
blocks the ability of the CPU to "run ahead" of the GPU).
Since TF wasn't making use of our flexibility *anyway*, we add the
requirement that XLA be given non-null pointers to all sub-buffers.
Changes to the XLA:GPU backend to take advantage of this will come
separately.
PiperOrigin-RevId:
190700021
A. Unique TensorFlower [Wed, 28 Mar 2018 00:15:14 +0000 (17:15 -0700)]
Make slot_creator use DistributionStrategy for co-locating variables.
Make DistributionStrategy.colocate_vars_with() match the existing
behavior of ops.colocate_with() by default, for compatibility.
PiperOrigin-RevId:
190699882
Allen Lavoie [Wed, 28 Mar 2018 00:14:50 +0000 (17:14 -0700)]
Make tf.keras.Sequential (properly) Checkpointable
Just numbers Layers like "layer-N". It may also make sense to track them by
"ClassName-M", but that's a backwards-compatible change.
Special-cases all of the dependency collection, since Layers can be added and
removed from Sequential.
PiperOrigin-RevId:
190699818
A. Unique TensorFlower [Wed, 28 Mar 2018 00:13:22 +0000 (17:13 -0700)]
K-FAC: Bugfixes for TPU compatibility with covariance update ops.
PiperOrigin-RevId:
190699635
A. Unique TensorFlower [Wed, 28 Mar 2018 00:02:59 +0000 (17:02 -0700)]
[XLA] Redesign: implement Tuple and GetTupleElement.
PiperOrigin-RevId:
190698245
A. Unique TensorFlower [Tue, 27 Mar 2018 23:53:13 +0000 (16:53 -0700)]
Change the host-op result per TPU step from a single value to a collection of values.
PiperOrigin-RevId:
190696953
A. Unique TensorFlower [Tue, 27 Mar 2018 23:48:31 +0000 (16:48 -0700)]
Improve support for DT_HALF and DT_BFLOAT16 in Grappler graph optimizations.
Update GrapplerTest::EvaluateNodes to take feeds as an argument, to make it easier to write tests with placeholders.
PiperOrigin-RevId:
190696386
A. Unique TensorFlower [Tue, 27 Mar 2018 23:43:48 +0000 (16:43 -0700)]
Fixed a bug in ConvKFCBasicMultiIndepFB introduced in the last CL
PiperOrigin-RevId:
190695737
A. Unique TensorFlower [Tue, 27 Mar 2018 23:26:12 +0000 (16:26 -0700)]
Test all TFLite kernel implementations for fully connected.
PiperOrigin-RevId:
190693455
Allen Lavoie [Tue, 27 Mar 2018 22:55:04 +0000 (15:55 -0700)]
TFTS: Fix a bug in the SavedModel cold-start export
It now correctly broadcasts start state across whatever batch dimension it is
passed rather than sqishing it down to a batch dimension of 1.
PiperOrigin-RevId:
190688855
A. Unique TensorFlower [Tue, 27 Mar 2018 22:47:23 +0000 (15:47 -0700)]
Add node types for DFS traversal to catch more issues with deduping inputs to in-place ops.
PiperOrigin-RevId:
190687820
David Majnemer [Tue, 27 Mar 2018 22:37:35 +0000 (15:37 -0700)]
[XLA] Fold reduce-window(convert(pad(X))) into reduce-window(convert(X))
ReduceWindow operations are done in higher precision to avoid accumulation
error. Convert operations can find their way between a ReduceWindow and a Pad
which can prevent a Pad from combining with a ReduceWindow.
Fix this by looking past the Convert while also checking that the Convert'd
Pad's init value is identical to the reduce-window value.
PiperOrigin-RevId:
190686175
Alexandre Passos [Tue, 27 Mar 2018 22:08:12 +0000 (15:08 -0700)]
Moves Execute() from c_api.cc
PiperOrigin-RevId:
190681610
Skye Wanderman-Milne [Tue, 27 Mar 2018 22:07:05 +0000 (15:07 -0700)]
Make _USE_C_API = True and _USE_C_SHAPES = False work with handle data, take 2.
This change makes _set_shapes_for_outputs_c_api fetch and set
Tensor._handle_data. This is necessary for running the
Python shape inference code on resource tensors.
PiperOrigin-RevId:
190681459
Derek Murray [Tue, 27 Mar 2018 21:23:28 +0000 (14:23 -0700)]
[tf.data] Raise error when window size is 0 in `tf.contrib.data.group_by_window()`.
PiperOrigin-RevId:
190673466
Suharsh Sivakumar [Tue, 27 Mar 2018 21:17:16 +0000 (14:17 -0700)]
Improve error message when users forget to pass toco cmdline args for quantization, but have a model that has FAKE_QUANT operations.
PiperOrigin-RevId:
190672414
Nupur Garg [Tue, 27 Mar 2018 21:14:01 +0000 (14:14 -0700)]
Add "serve" as a default value for savedmodel_tagset.
PiperOrigin-RevId:
190671867
Dimitris Vardoulakis [Tue, 27 Mar 2018 21:12:00 +0000 (14:12 -0700)]
Fix documentation of Clamp; it does not take a computation at all.
See:
https://github.com/tensorflow/tensorflow/blob/r1.6/tensorflow/compiler/xla/client/computation_builder.h#L668
PiperOrigin-RevId:
190671530
Akshay Modi [Tue, 27 Mar 2018 21:06:44 +0000 (14:06 -0700)]
Fast path for calling pack when the list is full of eager tensors.
FastPathExecute function also allows inputs to be sequences instead of just lists.
PiperOrigin-RevId:
190670587
Nick Desaulniers [Tue, 27 Mar 2018 19:55:56 +0000 (12:55 -0700)]
[TF:XLA] Force DebugOptions to be specified when calling HloModule::CreateModuleConfigFromProto
Otherwise it's easy to forget that you likely want the DebugOptions to be `legacy_flags::GetDebugOptionsFromFlags()`.
PiperOrigin-RevId:
190659046
A. Unique TensorFlower [Tue, 27 Mar 2018 19:34:17 +0000 (12:34 -0700)]
Updating test so that it evaluates the optimized and original graph and checks whether the output tensors produced by them are the same.
PiperOrigin-RevId:
190655831
Benoit Steiner [Tue, 27 Mar 2018 19:09:59 +0000 (12:09 -0700)]
Improved shape inference for reshape
PiperOrigin-RevId:
190651873
A. Unique TensorFlower [Tue, 27 Mar 2018 19:00:44 +0000 (12:00 -0700)]
Replaced calls to deprecated tensorflow::StringPiece methods with their
tensorflow::str_util equivalents.
This will allow the deprecated methods to be removed.
PiperOrigin-RevId:
190650553
Skye Wanderman-Milne [Tue, 27 Mar 2018 18:54:26 +0000 (11:54 -0700)]
Exclude Python C extension from tensorflow/c:srcs target.
The Python extensions aren't part of the official C API.
PiperOrigin-RevId:
190649576
Dimitris Vardoulakis [Tue, 27 Mar 2018 18:27:11 +0000 (11:27 -0700)]
Fix: Clamp takes three arguments after computation, not arbitrarily many.
PiperOrigin-RevId:
190644837
Alexandre Passos [Tue, 27 Mar 2018 18:09:50 +0000 (11:09 -0700)]
Match behavior of py_func in graph and eager.
PiperOrigin-RevId:
190641841
A. Unique TensorFlower [Tue, 27 Mar 2018 17:20:05 +0000 (10:20 -0700)]
Internal cleanup.
PiperOrigin-RevId:
190633067
A. Unique TensorFlower [Tue, 27 Mar 2018 17:04:41 +0000 (10:04 -0700)]
import tpu profiler analysis grpc python stub to tensorflow.
PiperOrigin-RevId:
190630641
James Keeling [Tue, 27 Mar 2018 16:36:52 +0000 (09:36 -0700)]
Prevent warning every time someone imports contrib.learn.datasets.base
Everything in contrib/learn/python/learn/datasets/base.py has been deprecated. One of the function in there is a decorator, retry. Because another function in that file is decorated with retry, the function is called upon import, which prints a warning.
I have fixed this by adding a private function, _internal_retry, which is used internally, and redefining retry to simply call this. That way, using retry in user-code will still print the deprecated warning, but it's not printed upon every import.
I also cleaned up the docstrings slightly.
PiperOrigin-RevId:
190626717
A. Unique TensorFlower [Tue, 27 Mar 2018 16:20:54 +0000 (09:20 -0700)]
Flush the output of print (fixes out-of-order prints in public colab)
PiperOrigin-RevId:
190624708
Peter Hawkins [Tue, 27 Mar 2018 15:33:22 +0000 (08:33 -0700)]
Automated g4 rollback of changelist
188385868
PiperOrigin-RevId:
190618988
A. Unique TensorFlower [Tue, 27 Mar 2018 15:16:59 +0000 (08:16 -0700)]
Optimized quantized fully-connected op for LSTMs.
PiperOrigin-RevId:
190617310
A. Unique TensorFlower [Tue, 27 Mar 2018 15:01:25 +0000 (08:01 -0700)]
- Added support a different strategy for cov computations in the multi-tower scenario. In this strategy we do the cov computations locally on each tower and then sum the results, as opposed to concatenating everything onto a single device. This other strategy can be enabled by setting the global variable TOWER_STRATEGY to "separate" (default value is "concat", which implements the old strategy). We might change this to use "separate" by default if this turns out to be the best default.
- The code and documentation now no longer refer to the towers as computing different "mini-batches", since this was a confusing use of terminology. The best way to think about things is that the combine data over all the towers forms the mini-batch. Note however when factors process multiple towers using the "separate" strategy their batch_size variable will still refer to the amount of data in a single tower.
- Fixed a bug in how the "option 1" and "option 2" RNN Fisher approximations were computed in the multi-tower scenario.
- The "time-folded-into-batch" feature recently added has now changed in terms of what format it uses. Time is now the first dimension before the reshape, not the second, which is consistent with the convention used in other codebases.
PiperOrigin-RevId:
190615398
A. Unique TensorFlower [Tue, 27 Mar 2018 10:48:57 +0000 (03:48 -0700)]
Don't flush denormals when calling Eigen::SelfAdjointEigenSolver.
PiperOrigin-RevId:
190595222
A. Unique TensorFlower [Tue, 27 Mar 2018 10:23:58 +0000 (03:23 -0700)]
Avoid reading the input file twice for InitializableLookupTable in combination with HashTable.
Before this cl, TextFileLineIterator::total_size() was called for HashTable::DoPrepare, even though HashTable::DoPrepare ignores the size parameter.
In order to have a result ready for TextFileLineIterator::total_size(), Init() called GetNumLinesInTextFile(), which read the whole file. Just to throw away the result :-/
This cl:
- adds a DoLazyPrepare, that gets a functor to get the size, only if needed.
- add HashTable::DoLazyPrepare which does not call this functor.
- modify TextFileLineIterator::Init() to not call GetNumLinesInTextFile() anymore, when vocab_size was given as -1.
- modify TextFileLineIterator::total_size() to call GetNumLinesInTextFile() lazily on the first call, if vocab_size_ was passed as -1.
PiperOrigin-RevId:
190593744
A. Unique TensorFlower [Tue, 27 Mar 2018 07:30:02 +0000 (00:30 -0700)]
Handle out of range values when casting from floating point to integer in quantize.
PiperOrigin-RevId:
190580805
Justine Tunney [Tue, 27 Mar 2018 07:02:42 +0000 (00:02 -0700)]
Remove broken ibiblio url
I suspect ibiblio selectively mirrors or perhaps only mirrors
highly popular artifacts.
PiperOrigin-RevId:
190578860
Michael Case [Tue, 27 Mar 2018 06:34:05 +0000 (23:34 -0700)]
Fix acknowledgment to say "Blade Team of Tencent" in security.md file.
Team is incorrectly referred to as "TenCent Blade Team"
PiperOrigin-RevId:
190577449
Bixia Zheng [Tue, 27 Mar 2018 05:44:27 +0000 (22:44 -0700)]
[XLA:CPU] Allow the shape partition algorithm to partition the most minor
dimension.
The current shape paritition algorithm does not partition the most minor
dimension, because doing so causes dynamic loop bounds for the inner loop and
used to prohibit LLVM vectorization. This constraint has been removed with
revision 328478 and LLVM can now vectorize loops with dynamic bounds. Allow
partitioning the most minor dimension is also necessary to support the
parallelization of matrix-vector multiplication.
Adjust shape_partition_test to reflect this change in the shape partition
algorithm.
PiperOrigin-RevId:
190574615
A. Unique TensorFlower [Tue, 27 Mar 2018 05:30:15 +0000 (22:30 -0700)]
Use is_resource_variable() in train.assert_gloabl_step.
PiperOrigin-RevId:
190573872
A. Unique TensorFlower [Tue, 27 Mar 2018 04:30:56 +0000 (21:30 -0700)]
Add class DistributionStrategy to python/training/, though not part
of the exposed TF API.
PiperOrigin-RevId:
190570489
Michael Kuperstein [Tue, 27 Mar 2018 03:18:03 +0000 (20:18 -0700)]
[XLA] Add tests for R1 PRED Slices.
PiperOrigin-RevId:
190566036
A. Unique TensorFlower [Tue, 27 Mar 2018 03:02:24 +0000 (20:02 -0700)]
Include subscripts in the list of nodes accepted for replacement.
PiperOrigin-RevId:
190564824
A. Unique TensorFlower [Tue, 27 Mar 2018 03:01:35 +0000 (20:01 -0700)]
Do not assume Attribute nodes always have a QN - it may be missing for attributes of dynamic objects, like function calls.
PiperOrigin-RevId:
190564784
Nupur Garg [Tue, 27 Mar 2018 02:53:09 +0000 (19:53 -0700)]
Updating documentation of supported ops.
PiperOrigin-RevId:
190564365
A. Unique TensorFlower [Tue, 27 Mar 2018 02:46:51 +0000 (19:46 -0700)]
Include additional cases for evaluating the fqn annotation.
PiperOrigin-RevId:
190564036
A. Unique TensorFlower [Tue, 27 Mar 2018 02:30:26 +0000 (19:30 -0700)]
Fix inconsistency in run_cond.
PiperOrigin-RevId:
190563114
A. Unique TensorFlower [Tue, 27 Mar 2018 02:29:48 +0000 (19:29 -0700)]
Add "distribute" argument to tf.estimator.RunConfig() in anticipation
of upcoming DistributionStrategy support in Estimator.
PiperOrigin-RevId:
190563074
A. Unique TensorFlower [Tue, 27 Mar 2018 02:08:15 +0000 (19:08 -0700)]
[XLA] Redesign: implement and test ternary ops.
PiperOrigin-RevId:
190561679
Joshua V. Dillon [Tue, 27 Mar 2018 01:50:27 +0000 (18:50 -0700)]
Finish deprecation of tf.contrib.bayesflow.{HMC,MetropolisHastings}.
New home: https://github.com/tensorflow/probability/tree/master/tensorflow_probability/python/mcmc
PiperOrigin-RevId:
190560180
A. Unique TensorFlower [Tue, 27 Mar 2018 00:39:51 +0000 (17:39 -0700)]
[XLA] Redesign: handle metadata and sharding.
- Add a xla.OpSharding field to the HloInstructionProto.
- Metatdata handling is tested.
PiperOrigin-RevId:
190553731
A. Unique TensorFlower [Tue, 27 Mar 2018 00:02:55 +0000 (17:02 -0700)]
Add missing parameter to OP_REQUIRES call.
PiperOrigin-RevId:
190548854
A. Unique TensorFlower [Mon, 26 Mar 2018 23:19:50 +0000 (16:19 -0700)]
Save the last loss reduction method (for future use).
PiperOrigin-RevId:
190543066
Suharsh Sivakumar [Mon, 26 Mar 2018 22:52:12 +0000 (15:52 -0700)]
Rename convert_savedmodel to convert_saved_model
to be consistent with export_saved_model
PiperOrigin-RevId:
190539064
Alexandre Passos [Mon, 26 Mar 2018 22:39:54 +0000 (15:39 -0700)]
Makes tf.gather not silently snapshot resource variables.
PiperOrigin-RevId:
190537320
Mingsheng Hong [Mon, 26 Mar 2018 22:37:40 +0000 (15:37 -0700)]
In the experimental C API, parametrized batch_size for the generate dataset / iterator stack.
PiperOrigin-RevId:
190536945
A. Unique TensorFlower [Mon, 26 Mar 2018 22:34:21 +0000 (15:34 -0700)]
Update recompute_grad for TPU
PiperOrigin-RevId:
190536468
A. Unique TensorFlower [Mon, 26 Mar 2018 22:19:29 +0000 (15:19 -0700)]
[XLA] Redesign: implement and test unary and binary ops.
Also,
- Templatized ComputeAndCompareRX and CreateRXParameter so that they accept XlaBuilder and XlaOp.
- Clear data held by an XlaBuilder when Build() is called, otherwise errors will occur when the builder is reused.
PiperOrigin-RevId:
190534245
A. Unique TensorFlower [Mon, 26 Mar 2018 22:07:10 +0000 (15:07 -0700)]
Fix some compiler warnings in MKL-DNN build.
PiperOrigin-RevId:
190532168
Igor Ganichev [Mon, 26 Mar 2018 21:33:10 +0000 (14:33 -0700)]
Clarify eager gradient doc strings
PiperOrigin-RevId:
190526387
A. Unique TensorFlower [Mon, 26 Mar 2018 21:04:35 +0000 (14:04 -0700)]
Add description of shapes and a pointer to external tutorial notebook in `tf.distributions.Distribution`.
PiperOrigin-RevId:
190521666
A. Unique TensorFlower [Mon, 26 Mar 2018 20:41:35 +0000 (13:41 -0700)]
Quick fix to assign_moving_average documentation formatting.
PiperOrigin-RevId:
190517622
A. Unique TensorFlower [Mon, 26 Mar 2018 20:30:17 +0000 (13:30 -0700)]
Global rename of py2tf to autograph
PiperOrigin-RevId:
190515509
Jiri Simsa [Mon, 26 Mar 2018 20:25:58 +0000 (13:25 -0700)]
Add additional protobuf imports.
PiperOrigin-RevId:
190514839
Anna R [Mon, 26 Mar 2018 20:15:53 +0000 (13:15 -0700)]
Internal change.
PiperOrigin-RevId:
190512928
A. Unique TensorFlower [Mon, 26 Mar 2018 20:11:18 +0000 (13:11 -0700)]
Add header guard to lstm_utils.
PiperOrigin-RevId:
190512302
A. Unique TensorFlower [Mon, 26 Mar 2018 20:08:54 +0000 (13:08 -0700)]
Optimized ops, move code to early, common, section so that it can be shared.
PiperOrigin-RevId:
190511964
Igor Ganichev [Mon, 26 Mar 2018 19:47:47 +0000 (12:47 -0700)]
Clarify doc strings on gradient methods
PiperOrigin-RevId:
190508614
Anna R [Mon, 26 Mar 2018 19:40:56 +0000 (12:40 -0700)]
Internal change.
PiperOrigin-RevId:
190507631
Anna R [Mon, 26 Mar 2018 19:20:32 +0000 (12:20 -0700)]
Internal change.
PiperOrigin-RevId:
190504933
Shanqing Cai [Mon, 26 Mar 2018 19:16:34 +0000 (12:16 -0700)]
tfdbg CLI: Allow node exclusion with tensor filters
Fixes: #16619
See the referred GitHub issue for details, but users want to be
able to skip certain nodes when searching for inf/nans, because
some nodes generate inf/nans even in nominal conditions.
This CL adds a new optional flag `--filter_exclude_node_names`
(or `-fenn` for short), which allows users to do exactly that,
by using a regex for node names.
RELNOTES: tfdbg CLI: Allow exclusion of nodes by regular expressions
during tensor filter-enabled Session runs: see the new flags
`--filter_exclude_node_names` (or `-fenn` for short).
PiperOrigin-RevId:
190504225
A. Unique TensorFlower [Mon, 26 Mar 2018 19:14:05 +0000 (12:14 -0700)]
LSTM support: Support fused activation functions in int16 Add ops.
PiperOrigin-RevId:
190503823
Mingsheng Hong [Mon, 26 Mar 2018 18:50:19 +0000 (11:50 -0700)]
Extended experimental C API with MNIST dataset/iterators support.
PiperOrigin-RevId:
190500020
A. Unique TensorFlower [Mon, 26 Mar 2018 18:47:50 +0000 (11:47 -0700)]
Revert to initializing number of threads when SetNumThreads is called. Requiring it
to happen before OpInit() is way too confusing for users.
PiperOrigin-RevId:
190499644
A. Unique TensorFlower [Mon, 26 Mar 2018 18:44:19 +0000 (11:44 -0700)]
Make the CSE ("node deduping") pass in ArithmeticOptimizer more robust in the presence of ops that modify their inputs in-place: Do not dedup nodes if the underlying buffers for their outputs may be passed to an in-place op.
PiperOrigin-RevId:
190499037
Benoit Steiner [Mon, 26 Mar 2018 18:38:15 +0000 (11:38 -0700)]
Made the NumElements function more accurate
PiperOrigin-RevId:
190497916
Asim Shankar [Mon, 26 Mar 2018 18:18:26 +0000 (11:18 -0700)]
tf.GradientTape: Clearly say that tf.while_loop and tf.cond are not supported
by tf.GradientTape.gradient() at this time.
PiperOrigin-RevId:
190494436
Joshua V. Dillon [Mon, 26 Mar 2018 18:15:37 +0000 (11:15 -0700)]
BUGFIX: Fix failure-to-broadcast in Wishart.sample.
PiperOrigin-RevId:
190493969
A. Unique TensorFlower [Mon, 26 Mar 2018 18:05:37 +0000 (11:05 -0700)]
Fixes an issue with calling tf.contrib.seq2seq.dynamic_decode with an extended BasicDecoder which for example returns a tf.contrib.seq2seq.AttentionWrapperState.
In this case the internal while-loop fails when trying to store an instance tf.contrib.seq2seq.AttentionWrapperState in the internal TensorArray.
PiperOrigin-RevId:
190491787
Rachel Lim [Mon, 26 Mar 2018 17:52:46 +0000 (10:52 -0700)]
[tf.data] Usability improvements to `tf.contrib.data.make_csv_dataset`.
PiperOrigin-RevId:
190489086
Mingsheng Hong [Mon, 26 Mar 2018 17:51:21 +0000 (10:51 -0700)]
Added experimental C APIs to build a stack of dataset + iterator nodes that
reads imagenet TFRecord files.
PiperOrigin-RevId:
190488817
Rohan Jain [Mon, 26 Mar 2018 17:25:46 +0000 (10:25 -0700)]
Adding a FunctionBufferingResourceReset Op that resets the state of the function buffering resource so that we can start using it with re-initializable iterators.
PiperOrigin-RevId:
190484110
A. Unique TensorFlower [Mon, 26 Mar 2018 17:00:20 +0000 (10:00 -0700)]
Automated g4 rollback of changelist
190293303
PiperOrigin-RevId:
190479555
A. Unique TensorFlower [Mon, 26 Mar 2018 15:52:53 +0000 (08:52 -0700)]
Updated test (but not source) of https://tensorflow.org/api_docs/python/tf/contrib/training/HParams to show that it allows '=' in the values.
PiperOrigin-RevId:
190470578
Gunhan Gulsoy [Mon, 26 Mar 2018 05:02:09 +0000 (22:02 -0700)]
Disable flaky prefetching_ops_test.
PiperOrigin-RevId:
190416108
Joshua V. Dillon [Mon, 26 Mar 2018 04:57:09 +0000 (21:57 -0700)]
Always cast `tf.distributions.Distribution` `_event_shape`, `_batch_shape`.
PiperOrigin-RevId:
190415923
Petros Mol [Mon, 26 Mar 2018 03:13:13 +0000 (20:13 -0700)]
Minor Error type and documentation fix.
PiperOrigin-RevId:
190411045
Skye Wanderman-Milne [Mon, 26 Mar 2018 02:35:54 +0000 (19:35 -0700)]
Use compat.as_bytes() instead of str.encode().
PiperOrigin-RevId:
190409217
A. Unique TensorFlower [Sun, 25 Mar 2018 18:51:33 +0000 (11:51 -0700)]
Add skeleton code for DebugStripper.
PiperOrigin-RevId:
190391193
A. Unique TensorFlower [Sun, 25 Mar 2018 16:38:54 +0000 (09:38 -0700)]
Restore dependencies that are needed by the PIP package builder
PiperOrigin-RevId:
190387090
Priya Gupta [Sun, 25 Mar 2018 06:42:08 +0000 (23:42 -0700)]
Build and import rules for distributed strategy
PiperOrigin-RevId:
190367484
Dimitris Vardoulakis [Sat, 24 Mar 2018 07:24:50 +0000 (00:24 -0700)]
Misc typo fixes in the XLA sources and docs.
PiperOrigin-RevId:
190322644
Francois Chollet [Sat, 24 Mar 2018 06:04:03 +0000 (23:04 -0700)]
Trivial update of layer imports in eager execution examples, to reflect recommended practices.
PiperOrigin-RevId:
190319480
A. Unique TensorFlower [Sat, 24 Mar 2018 05:27:31 +0000 (22:27 -0700)]
[XLA] Redesign: implement Reshape and Transpose.
Also,
- Templatize ClientLibraryTestBase::CreateParameterAndTransferLiteral. The implementation is moved from .cc to .h because otherewise the linker complains.
- Migrate some reshape tests to use the XlaBuilder.
PiperOrigin-RevId:
190317960
A. Unique TensorFlower [Sat, 24 Mar 2018 03:20:49 +0000 (20:20 -0700)]
[XLA] Prevent using XlaOp from the wrong XlaBuilder.
PiperOrigin-RevId:
190312254
A. Unique TensorFlower [Sat, 24 Mar 2018 03:18:46 +0000 (20:18 -0700)]
A couple of small device-related utilities.
PiperOrigin-RevId:
190312148
A. Unique TensorFlower [Sat, 24 Mar 2018 02:24:04 +0000 (19:24 -0700)]
Fix loop variable type and status propagation
PiperOrigin-RevId:
190308776
A. Unique TensorFlower [Sat, 24 Mar 2018 02:02:37 +0000 (19:02 -0700)]
Adding support for iterating through a tf.data.Dataset for a single epoch.
PiperOrigin-RevId:
190307545
A. Unique TensorFlower [Sat, 24 Mar 2018 01:44:35 +0000 (18:44 -0700)]
When import_scoped_meta_graph is called within a name scope,
but called without an import_scope, the names of the created
variables are wrong, resulting in key not found errors when
adding these variables to their corresponding collections.
PiperOrigin-RevId:
190306555