Amit Patankar [Mon, 5 Feb 2018 18:16:02 +0000 (10:16 -0800)]
Changing the link to point to new android job.
PiperOrigin-RevId:
184546160
A. Unique TensorFlower [Mon, 5 Feb 2018 18:06:10 +0000 (10:06 -0800)]
[XLA] add Conditional to the local Python XLA client.
PiperOrigin-RevId:
184544483
Dan Ringwalt [Mon, 5 Feb 2018 17:49:01 +0000 (09:49 -0800)]
Clarify that tf.contrib.image.rotate angles are counterclockwise.
PiperOrigin-RevId:
184541776
A. Unique TensorFlower [Mon, 5 Feb 2018 17:33:42 +0000 (09:33 -0800)]
Enable aggressive identity node pruning in dependency optimizer.
PiperOrigin-RevId:
184539756
Skye Wanderman-Milne [Mon, 5 Feb 2018 16:41:54 +0000 (08:41 -0800)]
Get control_flow_ops.py ready to support de/serializing nested control flow.
With this change, ControlFlowContexts keep track of their nested
contexts (the reverse lookup as ControlFlowContext.outer_context).
This is to enable de/serializing the nested contexts of each "root"
context, and only adding the root contexts to collections. This allows
for simple deserialization of each root context by recursively
deserializing its nested contexts.
The de/serialization logic is disabled and the corresponding
control_flow.proto changes are omitted for now for forwards
compatability (i.e. three-week-old binaries must be ready to accept
the new proto format once its commited). After this is committed for
three weeks, I'll commit a follow-up change enabling the new behavior.
Design note: I chose to serialize the nested contexts, rather than the
outer contexts, because it makes it easy to deserialize the contexts
in topological order and to assign the right outer context. If we
serialized the outer contexts, there'd need to be some mechanism for
either sorting all the serialized contexts first, or deserializing all
of them and then doing another pass to assign the outer contexts.
PiperOrigin-RevId:
184533406
A. Unique TensorFlower [Mon, 5 Feb 2018 16:32:18 +0000 (08:32 -0800)]
Internal Change
PiperOrigin-RevId:
184532417
A. Unique TensorFlower [Mon, 5 Feb 2018 15:56:27 +0000 (07:56 -0800)]
Expand the activity analysis to composite names.
Fix a bug in the cond template that caused bad syntax when there it no symbol that needs aliasing.
More refactoring in the process, including:
* introduce the QN (qualified name) class to hold symbol information; it has value semantics and can generate the original symbol, a corresponding AST tree or a single-symbol form (e.g. "a.b" -> a_b)
* allow the template mechanism to use QNs for substitutions
* annotate *all* symbol nodes with their corresponding QN object; this is done as first step during static analysis, and automatically performed on all template expansions
* start using typed annotation keys (Enum values) instead of plain strings
* rename access.py to activity.py
* sanitize nodes in template expansion by deep copying the AST without annotations, to avoid common references
PiperOrigin-RevId:
184528586
A. Unique TensorFlower [Mon, 5 Feb 2018 09:42:16 +0000 (01:42 -0800)]
mini documentation fix
PiperOrigin-RevId:
184496843
A. Unique TensorFlower [Mon, 5 Feb 2018 09:03:32 +0000 (01:03 -0800)]
Fixed sequence_mask behavior on unknown shape.
`sequence_mask` crashed when fed with a tensor of unknown rank.
Added a test for that, and expanded a bit existing tests.
Also fixed pre-existing lint errors.
PiperOrigin-RevId:
184493239
A. Unique TensorFlower [Mon, 5 Feb 2018 03:58:18 +0000 (19:58 -0800)]
Support for quantized LSTM models.
PiperOrigin-RevId:
184476753
Mingsheng Hong [Sun, 4 Feb 2018 19:54:35 +0000 (11:54 -0800)]
Minor fixes to the get started doc.
PiperOrigin-RevId:
184457074
Derek Murray [Sun, 4 Feb 2018 19:24:51 +0000 (11:24 -0800)]
Avoid retaining two copies of each constant in `ConstantOp`.
Presently, the kernel keeps two copies of the constant tensor value, which can be large:
1. In the `ConstantOp::tensor_` field.
2. In the `OpKernel::def_` field (as an attr of the `NodeDef`).
Since we can be sure that `ConstantOp` will never need to access the
tensor value from `OpKernel::def_`, this change introduces a mechanism
for `OpKernel` implementations to store a stripped `NodeDef` in the
base class, and uses it in `ConstantOp` to avoid storing the tensor
value attr.
PiperOrigin-RevId:
184455793
Blake Hechtman [Sun, 4 Feb 2018 07:45:00 +0000 (23:45 -0800)]
[XLA] Assign mandatory constraints in a DFS order and non-manatory constraints in a BFS order.
PiperOrigin-RevId:
184429818
RJ Ryan [Sat, 3 Feb 2018 17:46:31 +0000 (09:46 -0800)]
[tf-signal] Fix exception when input shape is unknown in mfccs_from_log_mel_spectrograms.
PiperOrigin-RevId:
184400783
A. Unique TensorFlower [Sat, 3 Feb 2018 07:02:16 +0000 (23:02 -0800)]
[XLA] Add tests for Clamp with scalars S32 and U32.
PiperOrigin-RevId:
184376425
Yu-Cheng Ling [Sat, 3 Feb 2018 06:39:45 +0000 (22:39 -0800)]
Fix breakage: Can't build TFLite with Bazel for Mac / iOS.
PiperOrigin-RevId:
184375534
A. Unique TensorFlower [Sat, 3 Feb 2018 03:40:30 +0000 (19:40 -0800)]
A more efficient implementation of the Op using batch operations.
PiperOrigin-RevId:
184367562
Mingsheng Hong [Sat, 3 Feb 2018 03:10:39 +0000 (19:10 -0800)]
Extended TFE_OpSetDevice() with the ability to set an op device from non-GPU back to GPU.
Added unit testing, and also refined unit test logic for checking the presence
of a GPU device. The latter is needed when we add XLA device support.
PiperOrigin-RevId:
184366172
Justin Lebar [Sat, 3 Feb 2018 02:57:10 +0000 (18:57 -0800)]
[XLA] Minor cleanups related to multi-output fusion.
- Add some comments about preexisting invariants, and add some CHECKs.
- In the LoopEmitter constructor, materialize the given
ArraySlice<IrArray> to a vector, so we don't rely on the given
ArraySlice having any particular lifetime.
- Add the invariant that the LoopEmitter constructor which takes a
list of IrArrays is only for multi-output fusion. Previously it said:
If you only pass one array, then treat it as regular fusion. But this
results in an LLVM type mismatch, because the given
target_element_generator should be passing a struct with one element.
PiperOrigin-RevId:
184365310
A. Unique TensorFlower [Sat, 3 Feb 2018 02:03:11 +0000 (18:03 -0800)]
Propagate outfeed sharding, if specified from TensorFlow.
PiperOrigin-RevId:
184361221
Anna R [Sat, 3 Feb 2018 01:59:16 +0000 (17:59 -0800)]
Automated g4 rollback of changelist
184347012
PiperOrigin-RevId:
184360818
Derek Murray [Sat, 3 Feb 2018 01:09:59 +0000 (17:09 -0800)]
[tf.data] Add public header "tensorflow/core/framework/dataset.h".
This adds the ability to create a custom C++ Dataset implementation
without linking it statically into the TensorFlow library. Note that
this internal API is experimental and subject to change between
versions of TensorFlow.
Fixes #16682.
PiperOrigin-RevId:
184356318
Derek Murray [Sat, 3 Feb 2018 01:09:16 +0000 (17:09 -0800)]
Check that the type of an implicitly dereferenced tensor matches the expected input type.
The dtype of a tensor reference can change between the point when it is "produced" by an
operation and consumed by the next operation. This evades checks in the executor that the
type of tensor on each edge matches the type signatures of the producing and consuming operation, which could lead to undefined behavior. Although there is no existing operation that changes the type of a tensor reference, it is possible to use the OpKernelContext API to do so, so we add a further check in the runtime to defend against operations that might be added in the future.
PiperOrigin-RevId:
184356242
Jonathan Hseu [Sat, 3 Feb 2018 00:35:10 +0000 (16:35 -0800)]
Update global_step by default if the user specifies a host_call.
PiperOrigin-RevId:
184352399
A. Unique TensorFlower [Sat, 3 Feb 2018 00:18:59 +0000 (16:18 -0800)]
Tpu cluster resolver only returns TF server addresses for 'HEALTHY' tpu nodes.
PiperOrigin-RevId:
184350480
Alexandre Passos [Sat, 3 Feb 2018 00:02:22 +0000 (16:02 -0800)]
Replacing _container_prefix with _graph_key to preserve its use in optimizer and deprecate others.
PiperOrigin-RevId:
184348303
Alexandre Passos [Fri, 2 Feb 2018 23:52:18 +0000 (15:52 -0800)]
TF_CALL_ALL_TYPES should include variant
PiperOrigin-RevId:
184347081
Alexandre Passos [Fri, 2 Feb 2018 23:51:41 +0000 (15:51 -0800)]
Rollback of recent changes to tensor.{h,cc}
PiperOrigin-RevId:
184347012
Jianwei Xie [Fri, 2 Feb 2018 23:00:17 +0000 (15:00 -0800)]
Adds batch inference support on TPU with TPUEstimator.predict.
PiperOrigin-RevId:
184339842
Eugene Brevdo [Fri, 2 Feb 2018 22:30:50 +0000 (14:30 -0800)]
[TF RNN] Small optimization to rnn: only calculate copy_cond once.
PiperOrigin-RevId:
184335231
Tatiana Shpeisman [Fri, 2 Feb 2018 22:14:13 +0000 (14:14 -0800)]
Changed minimal required version of bleach Python package from 1.5 to 2.0. bleach 1.5 causes problems with Jupyter as reported in #16424
PiperOrigin-RevId:
184332663
Mingsheng Hong [Fri, 2 Feb 2018 21:53:08 +0000 (13:53 -0800)]
A few misc tweaks to TFE APIs.
PiperOrigin-RevId:
184329345
Yu-Cheng Ling [Fri, 2 Feb 2018 21:49:35 +0000 (13:49 -0800)]
TFLite: Conv CBLAS kernel
PiperOrigin-RevId:
184328848
Derek Murray [Fri, 2 Feb 2018 21:39:38 +0000 (13:39 -0800)]
[tf.data] Move framework/dataset.h to framework/dataset_stateful_op_whitelist.h.
This will make way for the move of kernels/data/dataset.h to
framework/dataset.h, while preserving version control history, after
which we might recombine the headers.
PiperOrigin-RevId:
184327481
Joshua V. Dillon [Fri, 2 Feb 2018 21:08:31 +0000 (13:08 -0800)]
Support `float16` `dtype` in `tf.linalg.*`.
Note: not all `LinearOperator` functions will support `float16`. This change
merely enables constructing the `LinearOperator` object(s) using this `dtype`.
PiperOrigin-RevId:
184323477
Joshua V. Dillon [Fri, 2 Feb 2018 21:07:37 +0000 (13:07 -0800)]
Breaking change: Revise HMC interface to accept a list of Tensors representing a partitioning of chain state.
PiperOrigin-RevId:
184323369
Yuefeng Zhou [Fri, 2 Feb 2018 20:46:34 +0000 (12:46 -0800)]
Skip the node that has unexpected number of outputs.
PiperOrigin-RevId:
184320865
Sanjoy Das [Fri, 2 Feb 2018 20:23:47 +0000 (12:23 -0800)]
[TF:XLA] Bump open source llvm revision to r324073
PiperOrigin-RevId:
184318036
A. Unique TensorFlower [Fri, 2 Feb 2018 20:19:43 +0000 (12:19 -0800)]
Update ops-related pbtxt files.
PiperOrigin-RevId:
184317521
Peter Hawkins [Fri, 2 Feb 2018 19:31:06 +0000 (11:31 -0800)]
[TF:XLA] Improve/refactor the handling of resource types/shapes.
Previously we used an xla::Shape to track the shape of a resource (Variable, TensorArray, Stack) shape. The xla::Shape described how the resource was represented to XLA, e.g., as a (buffer, size) pair for a Stack resource.
Instead, separate the TensorFlow abstract shape representation from the XLA shape representation and track it separately. This leads to simpler and more readable code.
PiperOrigin-RevId:
184310694
A. Unique TensorFlower [Fri, 2 Feb 2018 19:24:17 +0000 (11:24 -0800)]
Allow ResizeBilinear to resize the output tensor in Prepare(), if the size tensor is const.
PiperOrigin-RevId:
184309687
Alexandre Passos [Fri, 2 Feb 2018 19:24:11 +0000 (11:24 -0800)]
Register resource_scatter_update for string types.
PiperOrigin-RevId:
184309674
A. Unique TensorFlower [Fri, 2 Feb 2018 19:06:09 +0000 (11:06 -0800)]
Add shape inference for outside_compilation graph rewrite. Pull out enough of the graph to enable inference of the shape of a SendFromHost Op once the shape of corresponding RecvAtHost Ops are known.
END_PUBLIC
Fixed open source build breaks.
BEGIN_PUBLIC
Automated g4 rollback of changelist
184169668
PiperOrigin-RevId:
184306845
A. Unique TensorFlower [Fri, 2 Feb 2018 18:58:12 +0000 (10:58 -0800)]
Register GPU host kernels for Identity and RefIdentity.
PiperOrigin-RevId:
184305574
A. Unique TensorFlower [Fri, 2 Feb 2018 18:46:34 +0000 (10:46 -0800)]
Automated g4 rollback of changelist
184273245
PiperOrigin-RevId:
184303789
Anna R [Fri, 2 Feb 2018 18:28:20 +0000 (10:28 -0800)]
Remove hidden_ops.txt file. Instead, switch to use visibility attribute in ApiDef proto.
PiperOrigin-RevId:
184301076
Jacques Pienaar [Fri, 2 Feb 2018 18:04:15 +0000 (10:04 -0800)]
Consider beyond immediate neighbors to find exit node.
Most of the exit nodes are immediate neighbors of the switch, except we do have
cases where the switch feeds into an identity that feeds into a exit.
PiperOrigin-RevId:
184297180
A. Unique TensorFlower [Fri, 2 Feb 2018 18:01:40 +0000 (10:01 -0800)]
Show that we must over reallocate after resizing dynamic tensors.
PiperOrigin-RevId:
184296680
A. Unique TensorFlower [Fri, 2 Feb 2018 17:20:26 +0000 (09:20 -0800)]
Fix latent bug in dependency optimizer.
PiperOrigin-RevId:
184291701
Yao Zhang [Fri, 2 Feb 2018 17:00:41 +0000 (09:00 -0800)]
Disable graph optimizations (CSE) in test so that constant nodes are not deduped.
PiperOrigin-RevId:
184289685
A. Unique TensorFlower [Fri, 2 Feb 2018 16:09:48 +0000 (08:09 -0800)]
[comment-only change]: Fix grammar error.
PiperOrigin-RevId:
184285125
Derek Murray [Fri, 2 Feb 2018 16:09:13 +0000 (08:09 -0800)]
Fix a bug in function inlining when the argument is an implicitly dereferenced ref tensor.
Previously the inliner would add an identity node with an invalid ref-type attr when the actual parameter had ref type. The changed version removes the reference.
PiperOrigin-RevId:
184285084
A. Unique TensorFlower [Fri, 2 Feb 2018 13:38:50 +0000 (05:38 -0800)]
Enabling partitioned variables to work with TPU.
When partitioned variables are used in a TPU training loop,
concat gradient operations get generated for which XLA requires
the concat dimension argument to be a constant (or foldable to a constant).
However since such constant is defined outside of the train while context
an Enter node is generated in order to pass it.
The fix consists in detecting such case, and to duplicate the (scalar) constant
inside the while context, so that XLA can succesfully process the resulting
graph.
PiperOrigin-RevId:
184273245
Gunhan Gulsoy [Fri, 2 Feb 2018 07:47:33 +0000 (23:47 -0800)]
Fix some tf-lite tests
PiperOrigin-RevId:
184247187
A. Unique TensorFlower [Fri, 2 Feb 2018 05:43:12 +0000 (21:43 -0800)]
Fix tolerance too tight for Wasserstein distance test.
PiperOrigin-RevId:
184240222
Gunhan Gulsoy [Fri, 2 Feb 2018 07:47:33 +0000 (23:47 -0800)]
Fix some tf-lite tests
PiperOrigin-RevId:
184247187
A. Unique TensorFlower [Fri, 2 Feb 2018 05:43:12 +0000 (21:43 -0800)]
Fix tolerance too tight for Wasserstein distance test.
PiperOrigin-RevId:
184240222
Justin Lebar [Fri, 2 Feb 2018 05:34:18 +0000 (21:34 -0800)]
Internal change
PiperOrigin-RevId:
184239740
A. Unique TensorFlower [Fri, 2 Feb 2018 04:35:29 +0000 (20:35 -0800)]
Automated g4 rollback of changelist
183874527
PiperOrigin-RevId:
184236409
A. Unique TensorFlower [Fri, 2 Feb 2018 03:50:34 +0000 (19:50 -0800)]
Supporting new saving op structure.
PiperOrigin-RevId:
184233513
Yu-Cheng Ling [Fri, 2 Feb 2018 02:27:31 +0000 (18:27 -0800)]
Add darwin_x86_64 config in TF Lite BUILD file.
PiperOrigin-RevId:
184227786
Benoit Steiner [Fri, 2 Feb 2018 02:05:15 +0000 (18:05 -0800)]
Fixed the description of the fake GPU device to avoid a division by 0
PiperOrigin-RevId:
184225409
Brennan Saeta [Fri, 2 Feb 2018 01:20:11 +0000 (17:20 -0800)]
Fix tests
PiperOrigin-RevId:
184220615
Benoit Steiner [Fri, 2 Feb 2018 01:19:32 +0000 (17:19 -0800)]
Skip unknown devices since we can't optimize for them
PiperOrigin-RevId:
184220515
Andrew Selle [Fri, 2 Feb 2018 00:51:59 +0000 (16:51 -0800)]
Allow reordering of execution order of nodes with indirect execution_plan.
Now whenever we want to operate in dependency order we use execution_plan.
It begins as identity map (0, ..., nodes_size()) but can be changed
in the future. This is the basis for more pluggable delegation.
PiperOrigin-RevId:
184216885
Jacques Pienaar [Fri, 2 Feb 2018 00:29:30 +0000 (16:29 -0800)]
Automated g4 rollback of changelist
184188816
PiperOrigin-RevId:
184213576
Brennan Saeta [Fri, 2 Feb 2018 00:22:24 +0000 (16:22 -0800)]
GCS Throttle: 1 token == 1 Kb
Previously, 1 token was approximately 256 bytes. This is slightly less
intuitive than 1 kb.
PiperOrigin-RevId:
184212503
Raghuraman Krishnamoorthi [Fri, 2 Feb 2018 00:14:51 +0000 (16:14 -0800)]
Add functionality to fold batch norm (supporting both fused and unfused batch norm) to support quantized training. The weights are always now scaled by gamma/sigma, where sigma is the moving standard deviation for stability prior to quantization. For improved performance, the moving means and variances are frozen and the training graph modified accordingly.
An additional parameter freeze_batch_norm_delay is added to foldbatchnorm function to set the delay at which training switches from regular batch norm to frozen mean and variances.
Remove placement options within FoldBatchNorm as this causes folded training to place all ops on a single GPU. The modification now significantly speeds up distributed training.
The tests for folding batch norms are also updated to reflect the additional topological changes to the graph.
PiperOrigin-RevId:
184211434
A. Unique TensorFlower [Thu, 1 Feb 2018 23:32:20 +0000 (15:32 -0800)]
Add iterate_batches arg to Estimator.predict
PiperOrigin-RevId:
184205196
Skye Wanderman-Milne [Thu, 1 Feb 2018 23:11:35 +0000 (15:11 -0800)]
Make jit_test.py work with C API enabled.
PiperOrigin-RevId:
184202470
A. Unique TensorFlower [Thu, 1 Feb 2018 23:11:20 +0000 (15:11 -0800)]
[XLA] add DotGeneral to the local Python XLA client.
PiperOrigin-RevId:
184202425
Nick Felt [Thu, 1 Feb 2018 23:05:41 +0000 (15:05 -0800)]
Revert TensorBoard entry point back to run_main
PiperOrigin-RevId:
184201506
Anna R [Thu, 1 Feb 2018 22:23:29 +0000 (14:23 -0800)]
Internal change.
PiperOrigin-RevId:
184194895
Igor Saprykin [Thu, 1 Feb 2018 22:11:08 +0000 (14:11 -0800)]
Throw an exception when the user's batch size isn't divisible by GPUs.
The alternative to this is to have an adaptive approach that would unevenly split input into per-tower batches. The concern with that was that all towers will be as slow as the one with more input reducing the performance. Batch size seems to be commonly tailored to the available hardware.
PiperOrigin-RevId:
184192793
Benoit Steiner [Thu, 1 Feb 2018 22:11:08 +0000 (14:11 -0800)]
Return an error instead of assertion when processing an ill-formed graph or an
invalid set of fetch nodes
PiperOrigin-RevId:
184192790
Jacques Pienaar [Thu, 1 Feb 2018 21:48:33 +0000 (13:48 -0800)]
[TFXLA] Use data flow to determine switch grouping.
* Change how switch grouping works:
- This is an intermediate step, next is combining
DetermineBranchMapAndFrontier into one traversal.
* Homogeneous the naming (switch_nodes -> switches);
* Change graph dumping to be due to class member - currently still performed when vlog-level is sufficiently high;
* Pass in correct library when dumping graphs;
PiperOrigin-RevId:
184188816
Noah Fiedel [Thu, 1 Feb 2018 21:48:13 +0000 (13:48 -0800)]
Adding documentation on how to load & serve a model with the
TensorFlow Serving Model Server.
PiperOrigin-RevId:
184188752
A. Unique TensorFlower [Thu, 1 Feb 2018 21:33:20 +0000 (13:33 -0800)]
Fixes a type conversion bug in losses.compute_weighted_loss for reduction=SUM_OVER_BATCH_SIZE.
PiperOrigin-RevId:
184186573
A. Unique TensorFlower [Thu, 1 Feb 2018 21:13:12 +0000 (13:13 -0800)]
Fix segfault when Softmax is first in graph
PiperOrigin-RevId:
184183730
A. Unique TensorFlower [Thu, 1 Feb 2018 21:13:10 +0000 (13:13 -0800)]
Verify tensor contents of tflite model
PiperOrigin-RevId:
184183725
Benoit Steiner [Thu, 1 Feb 2018 20:38:55 +0000 (12:38 -0800)]
Made the addn optimization aware of the graph topology
PiperOrigin-RevId:
184179246
A. Unique TensorFlower [Thu, 1 Feb 2018 20:17:08 +0000 (12:17 -0800)]
Add a utility module that contains helper functions usable from within generated code.
Add a helper for the control dependencies context manager.
PiperOrigin-RevId:
184176409
Anna R [Thu, 1 Feb 2018 20:05:23 +0000 (12:05 -0800)]
Internal change.
PiperOrigin-RevId:
184174800
A. Unique TensorFlower [Thu, 1 Feb 2018 19:54:13 +0000 (11:54 -0800)]
Update deprecated API use
PiperOrigin-RevId:
184173047
Derek Murray [Thu, 1 Feb 2018 19:50:23 +0000 (11:50 -0800)]
[tf.data] Fix bug where captured resources in shared iterators were invisible.
This change ensures that a shared iterator (which requires a private
FunctionLibraryRuntime that outlasts the calling op's runtime, because
it can outlive a single session) uses the same Device as a non-shared
iterator, and hence capturing resources from the creating graph will
work as intended.
Fixes #16481.
PiperOrigin-RevId:
184172498
Benoit Steiner [Thu, 1 Feb 2018 19:50:14 +0000 (11:50 -0800)]
Added a utility to traverse the graph in reverse DFS order, identifying loops
in the process.
PiperOrigin-RevId:
184172483
Anna R [Thu, 1 Feb 2018 19:33:34 +0000 (11:33 -0800)]
Automated g4 rollback of changelist
184153187
PiperOrigin-RevId:
184169668
Anna R [Thu, 1 Feb 2018 19:06:53 +0000 (11:06 -0800)]
Internal change.
PiperOrigin-RevId:
184165180
Mark Daoust [Thu, 1 Feb 2018 18:43:29 +0000 (10:43 -0800)]
Add function paths to their signatures.
fixes #16167
PiperOrigin-RevId:
184160925
A. Unique TensorFlower [Thu, 1 Feb 2018 18:38:14 +0000 (10:38 -0800)]
Fix nest bug with different dictionary key orderings.
PiperOrigin-RevId:
184160009
A. Unique TensorFlower [Thu, 1 Feb 2018 17:55:53 +0000 (09:55 -0800)]
Add shape inference for outside_compilation graph rewrite. Pull out enough of the graph to enable inference of the shape of a SendFromHost Op once the shape of corresponding RecvAtHost Ops are known.
PiperOrigin-RevId:
184153187
A. Unique TensorFlower [Thu, 1 Feb 2018 16:18:13 +0000 (08:18 -0800)]
Update ops-related pbtxt files.
PiperOrigin-RevId:
184141875
Peter Hawkins [Thu, 1 Feb 2018 14:47:06 +0000 (06:47 -0800)]
[TF:XLA] Implement MatrixSetDiag and MatrixBandPart.
Add support for int32 indices to the MatrixBandPart operator.
PiperOrigin-RevId:
184133343
Sanjoy Das [Thu, 1 Feb 2018 07:05:26 +0000 (23:05 -0800)]
[TF:XLA] Fix tfcompile OSS build
- The @org_tensorflow package designation is unnecessary, and breaks the build
when building without a sandbox.
- The generated tests must use tf_cc_test, not cc_test. See the note in
tensorflow/core/BUILD.
Partially addresses #15338
PiperOrigin-RevId:
184095571
Yu-Cheng Ling [Thu, 1 Feb 2018 05:17:30 +0000 (21:17 -0800)]
Internal change
PiperOrigin-RevId:
184088913
A. Unique TensorFlower [Thu, 1 Feb 2018 04:46:33 +0000 (20:46 -0800)]
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId:
184086955
A. Unique TensorFlower [Thu, 1 Feb 2018 04:20:18 +0000 (20:20 -0800)]
Update ops-related pbtxt files.
PiperOrigin-RevId:
184085402
Eugene Brevdo [Thu, 1 Feb 2018 02:18:04 +0000 (18:18 -0800)]
Add a new Dataset: PrependFromQueueAndPaddedBatchDataset.
PiperOrigin-RevId:
184078894
Yu-Cheng Ling [Thu, 1 Feb 2018 02:08:33 +0000 (18:08 -0800)]
Test all TFLite kernel implementations (reference/optimized/...)
PiperOrigin-RevId:
184077940
Akshay Agrawal [Thu, 1 Feb 2018 02:03:25 +0000 (18:03 -0800)]
TFE: Support `IndexedSlices` as inputs and outputs for `tfe.defun`.
In particular, this change fixes a bug that arose when attempting to
differentiate a defun-d function whose gradient yielded `IndexedSlices`.
PiperOrigin-RevId:
184077261