| Commit message (Collapse) | Author | Age |
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PiperOrigin-RevId: 214437695
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Fixed #17850
PiperOrigin-RevId: 211166112
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Updating README.md with TensorFlow 1.10.0 links for Intel(R) MKL-DNN
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PiperOrigin-RevId: 209520579
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PiperOrigin-RevId: 208257112
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PiperOrigin-RevId: 208110979
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PiperOrigin-RevId: 208039583
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I'm sorry for the late reply. I have edit the link and arrange them alphabetically. Thanks for your attention.
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removing incorrect (R)
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Add new links and descriptions about Tensorflow. The reasons is to make it more user-friendly and provide more informations to all the users so that they can get the informations quickly and learn more faster.
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PiperOrigin-RevId: 206674765
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Update references in source files and docs in tensorflow and related projects.
PiperOrigin-RevId: 201766994
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PiperOrigin-RevId: 201110240
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PiperOrigin-RevId: 201033171
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PiperOrigin-RevId: 201011811
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Revert #18413. Too many internal test failures due to the name scope change caused by this change.
Revert #18192. Cannot use re2::StringPiece internally. Need alternative for set call. Will pull and clean this up in a separate change.
PiperOrigin-RevId: 197991247
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PiperOrigin-RevId: 194031845
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PiperOrigin-RevId: 192388250
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The original badges I added were redirected/authenticated links (I think). This
resulted in broken images on the README. These new links should not be
redirected and should just link to the badge images.
PiperOrigin-RevId: 192230689
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Moving away from Jenkins builds. Would like to switch to use build badges
for the equivalent builds we have set up on Kokoro.
PiperOrigin-RevId: 192130083
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PiperOrigin-RevId: 189945839
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PiperOrigin-RevId: 189258641
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PiperOrigin-RevId: 189231636
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PiperOrigin-RevId: 188817194
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PiperOrigin-RevId: 184897758
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PiperOrigin-RevId: 182258809
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PiperOrigin-RevId: 180746153
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PiperOrigin-RevId: 180301735
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PiperOrigin-RevId: 176695926
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PiperOrigin-RevId: 176622438
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PiperOrigin-RevId: 176615107
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END_PUBLIC
---
Commit 9f8523640 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 173145770
---
Commit 01b6b0638 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Cut tracing memory cost
PiperOrigin-RevId: 173144626
---
Commit 5e23e0e67 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Erase cloned instructions on the fly when merging fusion nodes.
This avoids the awkward situation where an RNG which is clearly eligible for fusion becomes ineligible mid-fusion because it suddenly has an extra (dead) user.
PiperOrigin-RevId: 173141716
---
Commit 1038927c0 authored by Saurabh Saxena<srbs@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add SerializeIterator op that serializes an IteratorResource into a variant tensor.
Add DeserializeIterator op that builds IteratorResource from a variant tensor.
Move BundleReaderWrapper and BundleWriterWrapper from dataset.h to iterator_ops.cc.
Add generic key-value store interfaces IteratorStateReader and IteratorStateWriter for reading/writing state of iterators.
Get rid of IteratorBundleReader and IteratorBundleWriter.
PiperOrigin-RevId: 173140858
---
Commit 57f3e529d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change
PiperOrigin-RevId: 173136642
---
Commit 0e56ffb7b authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix breakages in OSS builds
See example breakages logs at:
http://ci.tensorflow.org/job/tensorflow-cl-cpu-python3-pip/10847/console
http://ci.tensorflow.org/job/tensorflow-cl-gpu/11008/console
1. CL/172477381 added the no_oss tag to tests with oss_serial tags, which broke the logic of OSS_SERIAL tests in pip.sh and run_pip_test.sh. This CL fixes that.
2. The nccl_kernels BUILD target in contrib/nccl/BUILD was missing some dependencies. This CL adds the missing ones.
Fixes: #13918
PiperOrigin-RevId: 173133914
---
Commit 3ed049b67 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allows calling keras layers in eager mode.
PiperOrigin-RevId: 173129805
---
Commit 4ec6f2b07 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Switching contrib.summaries API to be context-manager-centric
PiperOrigin-RevId: 173129793
---
Commit 03b02ffc9 authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Put Bazel mirror URLs first
PiperOrigin-RevId: 173127955
---
Commit 46ab25e4d authored by David Majnemer<majnemer@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add support for convolutions with no spatial dimensions
PiperOrigin-RevId: 173126950
---
Commit fc56349b7 authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.data] Convert dataset arguments to tensors as early as possible.
This change raises a `TypeError` earlier if (for example) the `batch_size`
argument to `Dataset.batch()` has the incorrect type.
PiperOrigin-RevId: 173126678
---
Commit 4f7503a87 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Support for registering multiple minibatches with register_fully_connected()
PiperOrigin-RevId: 173121735
---
Commit 2845bfcd6 authored by Tim Harley<tharley@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Avoid listing all modified Enter/RefEnter nodes on INFO, use VLOG(1) instead.
Leave a single, simple, message on INFO.
PiperOrigin-RevId: 173121726
---
Commit 434695921 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: _check_registration() supports multiple towers.
PiperOrigin-RevId: 173115870
---
Commit 670dddf4a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Multi-minibatch support for
tf.contrib.kfac.fisher_blocks.FullyConnectedKFACBasicFB.
PiperOrigin-RevId: 173109677
---
Commit dc13a8e2f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix import of meta graphs with partitioned variables into a scope.
Saver inspects SliceInfo to decide the variable name when creating a
checkpoint. Before this fix even if a partitioned variable ("weights")
was imported into a scope "a" it would still be checkpointed as ("weights")
instead of ("a/weights") since import_scoped_meta_graph was not adjusting
the SliceInfo.
WARNING: if you use import_meta_graph on graphs with partitioned_variables WITH an import_scope argument AND then create a Saver to write/read checkpoints this change
may break your checkpoint loading.
PiperOrigin-RevId: 173105796
---
Commit eea089bdb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Multi-tower support for ConvDiagonalFB.
PiperOrigin-RevId: 173105412
---
Commit 9b9cbbe2a authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add int64 Tperm type support for `Transpose` (#13909)
* Add int64 Tperm type support for `Transpose`
This fix adds int64 Tperm support for `Transpose`. In
`array_ops.cc`, `Transpose` and `ConjugateTranspose`
have been specified as accepting int32 and int64 perm
types. However, only int32 kernels has been registered.
This fix adds the int64 perm support by removing
the constraint on Tperm, resolve the type at runtime,
and copying the data type accordingly to correctly handle
the int64/int32 types.
Additional tests have been added as well.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for int64 of perm in Transpose.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add namespace to hide PermutationHelper
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Enable use_gpu=True for perm type test.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* extra // namespace annotation
* Adding a comment about int32 casting that should be safe.
Permutations only contain values that refer to dimensions, and the maximum number of dimensions we have is 254, so an int32 is always safe here.
---
Commit ac0004e71 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add int64 shape support on GPU for stateless random ops. (#13908)
* Add int64 shape support on GPU for stateless random ops.
This fix adds int64 shape support on GPU for stateless random ops
`StatelessRandomUniform`, `StatelessRandomNormal`, `StatelessTruncatedNormal`.
The int64 shape for stateless random ops is already supported on CPU
with int32/int64 processed properly through `MakeShape`.
However, on GPU a type constraint `.TypeConstraint<int32>("T")`
has been improperly added. Such a type constraint actually prevents
an int64 shape type to run on GPU. (As a comparision, no type constraint
on CPU).
This fix removes the type constraint and allows int64 shape to be run on GPU.
This fix also adds test cases for int64 shape support on stateless random ops.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for int64 shape support for stateless random ops.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int32 to shape types tested.
---
Commit 0d437c3be authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add int64 padding support for MirrorPad (#13907)
* Add int64 padding support for MirrorPad
This fix adds int64 padding support for `MirrorPad`.
In the `array_ops.cc` the `MirrorPad`/`MirrorPadGrad`
has been specified as supporting int64 padding. The related
kernels does not have the int64 padding registered though.
This fix adds the int64 padding support. This fix also adds
additional test cases for coverage.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update template for CPU and GPU support of int64 paddings.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int64 padding support for MirrorPad
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Put eigen header first like before, just in case.
---
Commit 690003cc0 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add `int64` type `multiples` support for `tf.tile` (#13884)
* Add `int64` type `multiples` support for `tf.tile`
In the doc of `tf.tile` (tf.tile.__doc__) both `int32`
and `int64` are supported for `multiples`. However, the kernel
for `int64` is not registered yet.
This fix adds the support of `int64` `multiples` so that the
behavior matches the description of the docs.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update functors for int64 multiples support in `tf.tile`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update test cases for int64 of multiples in `tf.tile`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add GPU and non GPU tests
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* format with clang-format -i
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Move Tmultiples after T (as it is auxilliary)
And use `use_gpu=True`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit fd8d517b9 authored by Yunxing Dai<yunxing@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add tests for convolution 1D
RELNOTES: n/a
PiperOrigin-RevId: 173060283
---
Commit 40c475b48 authored by formath<jinpengliu@163.com>
Committed by Vijay Vasudevan<vrv@google.com>:
add segment_reduction_ops to tf_op_files (#13901)
---
Commit bfa4ec194 authored by Tayo Oguntebi<10927929+tayo@users.noreply.github.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Update node_def.proto comments (#13874)
The device field had outdated comments.
Note: We could consider adding tpu as an example here, e.g. "gpu" | "cpu" | "tpu". Thoughts?
---
Commit c9cb5a58d authored by formath<jinpengliu@163.com>
Committed by Vijay Vasudevan<vrv@google.com>:
protobuf lib path bug fix for benckmark on osx (#13878)
---
Commit 1c1dad105 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add int64 axis support for reduction ops. (#13891)
* Add int64 axis support for reduction ops.
This fix is a follow up to PR 13863. In PR 13863 the
program crash is fixed if int64 axis is passed to reduction ops,
e.g. reduce_sum, reduce_max, etc. However, 13863 does not
process the case of int64 support, it merely fixes the crash.
This fix adds the support for int64 axis of reduction ops.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int64 axis support for mean, prod, sum
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int64 axis support for min and max.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int64 axis support for reduce_all and reduce_any
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for int64 axis support of reduce_any and reduce_all
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 17096081e authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Improve resize_bicubic performance by reorganizing loops (#13840)
* Improve resize_bicubic performance by reorganizing loops
This fix tries to address the issue raised in 13693 where
performance of `resize_bicubic` is not on par with opencv.
This fix rearranges the loops so that it is the same for
num_channel=40 and num_channel=3:
Pre-fix:
```
CHANNEL=40
opencv: 145.08ms
tf: 314.26ms
CHANNEL=3
opencv: 11.95ms
tf: 8.95ms
```
Post-fix:
```
CHANNEL=40
opencv: 144.25ms
tf: 214.55ms
CHANNEL=3
opencv: 11.78ms
tf: 14.07ms
```
This fix fixes 13693.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Keep special handling of `num_channels=3` for `resize_bicubic`
This commit keeps special handling of `num_channels=3` for
`resize_bicubic`:
Without special handling:
```
opencv: 11.78ms
tf: 14.07ms
```
With special handling:
```
opencv: 11.74ms
tf: 9.46ms
```
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Expand Benchmark test for resize_bicubic
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update from review feedback.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit b927df57f authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Update protobuf.cmake to b04e5cba356212e4e8c66c61bbe0c3a20537c5b9 (#13893)
This fix tries to address the issue raised in 8187 where
protobuf.cmake used different version as bazel.
The reason for discrepancy was due to the fact that a customerized
protobuf was needed with Windows patch. Since the patch has been
merged in (https://github.com/google/protobuf/pull/2203),
it makes sense to update protobuf.cmake so that the same version
of cmake is used.
This fix fixes 8187.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit d1183ca6a authored by Vijay Vasudevan<vrv@google.com>
Committed by GitHub<noreply@github.com>:
Give each variable a unique name in accumulate_n_v2_eager_test. (#13886)
---
Commit a69945810 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update pin for bazel-toolchains to latest version
PiperOrigin-RevId: 173002530
---
Commit 9d55c249c authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix doc in TF_CALL_ when invoked in mobile platform (#13881)
* Fix doc in TF_CALL_ when defined(IS_MOBILE_PLATFORM) && !defined(__ANDROID_TYPES_FULL__)
This is a small doc fix that includes bool as part of the types
that is supported in mobile (IS_MOBILE_PLATFORM && !__ANDROID_TYPES_FULL__),
as bool is clearly invoked in the following define.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Also add bool to android full version.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit ba49d8583 authored by Bjarke Hammersholt Roune<broune@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Slight change to reduce_test to avoid generating inf, which was triggering an inf detector unnecessarily.
PiperOrigin-RevId: 172965466
---
Commit 93e8f3c67 authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adding Python ApiDef overrides.
PiperOrigin-RevId: 172960496
---
Commit 0d6a2e353 authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change.
PiperOrigin-RevId: 172960439
---
Commit 62df65c72 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add dtype argument to Mean and Accuracy object-oriented metrics.
PiperOrigin-RevId: 172957714
---
Commit d7409d32b authored by Simone Cirillo<my.accounts@gmx.se>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix import of spatial_softmax from tensorflow.contrib.layers (#13833)
---
Commit df8bce63d authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix crash when `int64` axis is passed to `tf.reduce_sum` (#13863)
* Fix crash when `int64` axis is passed to `tf.reduce_sum`
This fix tries to fix the crash triggered by `int64` axis passed
to `tf.reduce_sum`:
```
ubuntu@ubuntu:~/tensorflow2$ (cd && python)
Python 2.7.12 (default, Nov 19 2016, 06:48:10)
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> v = tf.reduce_sum([1,2,3], tf.constant(0, tf.int64))
2017-10-20 15:55:06.993430: F tensorflow/core/framework/tensor.cc:601] Check failed: dtype() == expected_dtype (9 vs. 3)
ubuntu@ubuntu:~/tensorflow2$
```
The issue is caused by the fact that shape inference in `common_shape_fns.cc`
only assumes int32 without proper handling of diffent types. In `math_ops.cc`
both int32 and int64 are mentioned.
NOTE that this fix does not address the issue that int64 is not supported.
To allow int64 axis it is more than adding a template in `ReductionOp` as the type
of the axis seems to be decided by some other ways in Eigen.
This fix merely fixed the crash so that an error message will return without
exit from the python program "No OpKernel was registered to support Op 'Sum' with these attrs".
Still, I think its worth to at least allow the program to continue in case of unsupported kernel.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update implementation with a template helper function.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 29c7b4658 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adding the Stanford Tensorflow class to community resources.
PiperOrigin-RevId: 172956049
---
Commit f758b24a8 authored by Alexandre Passos<apassos@google.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Variable name for the eager test (#13873)
---
Commit a5fe66b15 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Removed some unnecessary broadcasts in binary ops where only one input needs
broadcasting (which is a fairly common case, even in the fallback path).
PiperOrigin-RevId: 172950493
---
Commit c77090a0a authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix issues where int64 crops could not be passed to batch_to_space. (#13862)
* Fix issues where int64 crops could not be passed to batch_to_space.
This fix tries to address the issue where int64 `crops` could
not be passed to `batch_to_space` even though both int32 and
int64 are specified as supported in the docs (tf.batch_to_space.__doc__)
The reason is that BatchToSpace kernel puts a constraint of int32 to crops
data types.
This fix removed the constraint so that int64 `crops` could be supported.
NOTE: Just removing the constraint should work and it is not necessary
to add specification to the kernel class template, as `SubtleMustCopyFlat`
called in the class already correctly handled both int32 and int64 cases.
Besides, other data types (e.g., float or double) will not be passed to the
kernel as they are guarded by the specification in `array_ops.cc`.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Also remove int64/int32 type constraints for SpaceToBatch kernels
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for int64 crops of batch_to_space and space_to_batch
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Fix test failures.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 494837936 authored by Joshua V. Dillon<jvdillon@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make `tf.contrib.distributions` quadrature family accept a `Tensor` for
`quadrature_grid_and_probs` argument.
PiperOrigin-RevId: 172950094
---
Commit 9c825d32c authored by Jinze Bai<baijinze1994@163.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Merge two GPU kernel launching to one in DiagOp. (#13859)
---
Commit c0ca50a47 authored by Yan Facai (???)<facai.yan@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
ENH: add Relu6GradGrad (#13268)
* ENH: add Relu6GradGrad
* TST: add test case
* CLN: import nn_grad
* TST: add init value
---
Commit 8ff33271e authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Dump the computation's SessionModule as part of the tf_compile rule.
PiperOrigin-RevId: 172946149
---
Commit ebcae4a5e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add streaming_precision_recall_at_equal_thresholds
This helper method computes streaming tp, fp, tn, fp, precision, and recall for the user in a way that exhibits O(T + N) time and space complexity (instead of O(T * N)), where T is the number of thresholds and N is the size of the predictions tensor.
Thanks to Frank Chu for the efficient algorithm!
PiperOrigin-RevId: 172946073
---
Commit ccfd9c1e5 authored by Sanjoy Das<sanjoy@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Log Hlo IR during AOT compilation
PiperOrigin-RevId: 172944165
---
Commit 985031a10 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allows tfe.enable_eager_execution(device_policy=tfe.DEVICE_POLICY_WARN).
PiperOrigin-RevId: 172943398
---
Commit 703182d85 authored by Mingxing Tan<tanmingxing@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add performance guide for fused decode_and_crop_jpeg optimization.
PiperOrigin-RevId: 172943116
---
Commit 66b1f4383 authored by Francois Chollet<fchollet@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make Network compatible with eager mode. Currently it only allows to instantiate a Network in eager mode using the regular Keras API, and call it on eager tensors.
PiperOrigin-RevId: 172942569
---
Commit 41df2cec2 authored by ashankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Testing pending CL: 172939383
---
Commit 37fd95179 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Simplifies capturing code in graph_callable to use recent function improvements.
PiperOrigin-RevId: 172937003
---
Commit d1e7382af authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 172924803
PiperOrigin-RevId: 173347587
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END_PUBLIC
---
Commit ee0fdc296 authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add noasan tag to estimator_test
PiperOrigin-RevId: 171075499
---
Commit a02116882 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:CPU] Put the HLO name in IR values that hold the HLO's value.
PiperOrigin-RevId: 171075449
---
Commit 89aaac4bc authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow Layer.add_update() in Eager mode.
PiperOrigin-RevId: 171070861
---
Commit 840dcae57 authored by Amit Patankar<amitpatankar@google.com>
Committed by gunan<gunan@google.com>:
Updating the install sources file with a supported configs table (#13450)
* Updating the install sources file with a supported configs page.
* Implementing Gunan's suggestions.
* Adding GCC string to Linux compiler.
* Updating the bazel/cmake column.
---
Commit 89df2e336 authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add the 'is_the_final_export' signal to Exporters. Use them in training.
When the training ends, the final export is performed via `Exporter.export()` call. That final export is going to have is_the_final_export parameter being set to true.
If `TrainSpec.max_steps` is `None`, then "when training ends" is undefined. We are going to train forever. In that case, `is_the_final_export` is going to be always False. I added a note about it.
PiperOrigin-RevId: 171070760
---
Commit 4486b4f69 authored by Akshay Agrawal<akshayka@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make graph_callable compatible with functions that do not return anything
PiperOrigin-RevId: 171067061
---
Commit 39565c0cb authored by Martin Wicke<wicke@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Publish train_and_evaluate and associated classes.
PiperOrigin-RevId: 171066379
---
Commit 3b4477000 authored by Saurabh Saxena<srbs@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make VariantTensorData::tensors_size() const.
PiperOrigin-RevId: 171063397
---
Commit 53cc63a2d authored by Dhananjay Nakrani<dhananjayn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[part 1] Add support for int32 & int64 in RandomPoissonOp.
This computes int32/int64-precision poisson samples with double precision intermediate calculations (same as it's done for `half`) respectively.
part 2 will switch over python calls to new op once forward compatibility period has passed.
PiperOrigin-RevId: 171058336
---
Commit 70fc9bf9b authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Java: Add support for loading op libraries dynamically.
This change adds the equivalent of tf.load_op_library in Python to Java.
(https://github.com/tensorflow/tensorflow/commit/5c7f9e316d8c7735308a217310350d416d7498cc
was required to make this possible)
Though, TensorFlow.loadLibrary() is likely to fail on Windows as symbols
required by custom op libraries (those exported by the tensorflow_framework library)
are not exported by the monolithic JNI library yet.
This should help with #10454 and #13476
PiperOrigin-RevId: 171054707
---
Commit e7c53698e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal cleanup
PiperOrigin-RevId: 171053770
---
Commit cc8ee6c0f authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fast path for tf.conj when it should be pass-through.
PiperOrigin-RevId: 171053662
---
Commit c41dbc3c1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adding TF Boosted trees regression example on boston dataset, minor fix for mnist example.
PiperOrigin-RevId: 171052367
---
Commit d66e77f7c authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added get variable utils to tf.estimator.Estimator.
PiperOrigin-RevId: 171052121
---
Commit 083bd5dde authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Java: Add support for loading op libraries dynamically.
This change adds the equivalent of tf.load_op_library in Python to Java.
(https://github.com/tensorflow/tensorflow/commit/5c7f9e316d8c7735308a217310350d416d7498cc
was required to make this possible)
Though, TensorFlow.loadLibrary() is likely to fail on Windows as symbols
required by custom op libraries (those exported by the tensorflow_framework library)
are not exported by the monolithic JNI library yet.
This should help with #10454 and #13476
PiperOrigin-RevId: 171054707
---
Commit 2fe6cf285 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal cleanup
PiperOrigin-RevId: 171053770
---
Commit 15155493b authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fast path for tf.conj when it should be pass-through.
PiperOrigin-RevId: 171053662
---
Commit 6c954d0b3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adding TF Boosted trees regression example on boston dataset, minor fix for mnist example.
PiperOrigin-RevId: 171052367
---
Commit ad69076eb authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added get variable utils to tf.estimator.Estimator.
PiperOrigin-RevId: 171052121
---
Commit 3cf41b2ed authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Test save/restore variable from graph_callable.
PiperOrigin-RevId: 171051237
---
Commit cf17ec96e authored by Yangzihao Wang<yangzihao@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add V2 versions of output window size computation functions for convolution.
These V2 versions take arbitrary dilation rates.
In preparation for the support of native cudnn dilated convolution.
PiperOrigin-RevId: 171048878
---
Commit 491584ff4 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
eager: Always run dataset iterator operations on CPU.
It has no kernels for other devices.
With an explicit "tf.device()" before invoking the kernel we ensure
that Iterator.next() functions even when placed inside a:
with tf.device("/device:GPU:0")
PiperOrigin-RevId: 171048558
---
Commit 3b354016e authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rename SavedModelExporter to LatestExporter.
PiperOrigin-RevId: 171048345
---
Commit 943c6d7af authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
errors out if the evaluator has task id > 0.
PiperOrigin-RevId: 171047652
---
Commit 8c9ef4466 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Expand set of 64-bit type tests in LocalClientExecuteTest.ShapeBufferToLiteralConversion64bit and factor out into their own test.
PiperOrigin-RevId: 171043047
---
Commit cc521eb06 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Place all the nodes created by the trivial_test_graph_input_yielder
PiperOrigin-RevId: 171045878
---
Commit 9b9301240 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:CPU] Factor out parallel task assignment from cpu parallelization prep (no functional changes).
PiperOrigin-RevId: 171045137
---
Commit 558d878d9 authored by Allen Lavoie<allenl@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TFTS: Move normalization to the base class, start using it for state space models
Preivously, state space models adjusted their priors based on the data
(e.g. setting initial variances to match sample variance) but did not normalize
the data itself. When the data has a rather extreme scale, this runs into
precision issues. After this CL, state space models will first normalize, then
use adjusted statistics on top of that normalization to estimate initial
observation/transition noise.
Also fixes an issue where start-of-series statistics were incorrect for the first
batch (which only shows up with large input scales).
PiperOrigin-RevId: 171044863
---
Commit 266f77156 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Expand set of 64-bit type tests in LocalClientExecuteTest.ShapeBufferToLiteralConversion64bit and factor out into their own test.
PiperOrigin-RevId: 171043047
---
Commit c9915d1a2 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf-signal] Fix pip tests by including test_util in signal_py
PiperOrigin-RevId: 171042732
---
Commit f8550f4e9 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Expand set of 64-bit type tests in LocalClientExecuteTest.ShapeBufferToLiteralConversion64bit and factor out into their own test.
PiperOrigin-RevId: 171043047
---
Commit 87dc532cd authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf-signal] Fix pip tests by including test_util in signal_py
PiperOrigin-RevId: 171042732
---
Commit 0578dd65e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add more debugging output for XLA send/recv.
PiperOrigin-RevId: 171041978
---
Commit 23992bb09 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Several minor documentation fixes.
PiperOrigin-RevId: 171038610
---
Commit af14ed3f3 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Some docstring twists and argument validations.
PiperOrigin-RevId: 171037949
---
Commit 6b90a65f6 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove "hybrid" HloModuleConfig option. The option was used to generate executables which only generated the array values of tuple-shaped outputs, not the tuple index tables.. With cl/170133015, ShapedBuffers which hold the computation output now have materialized tuples with these index tables so this option is no longer desired or necessary.
No functional change. Just cleanup.
PiperOrigin-RevId: 171035738
---
Commit 41a0264ab authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added utilities to make global step reading deterministic. Used them in Estimator.
Enabled/Fixed some tests.
PiperOrigin-RevId: 171035291
---
Commit 9d7843c0a authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add optional unused_input_map_keys output param to ImportGraphDef
This is a more general feature than that in the Python importer, which
raises an exception if the input map contains unused names.
PiperOrigin-RevId: 171029316
---
Commit 4f10a6597 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add vlogging of HloModule before and after fusion.
PiperOrigin-RevId: 171029054
---
Commit 9e658545a authored by Reed Wanderman-Milne<reedwm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Document what dtype tf.image.resize_images returns.
For consistency, tf.image.resize_images now will always return a float32 when method != ResizeMethod.NEAREST_NEIGHBOR. Before, it returned the same dtype as its input if it could be determined statically that the height and width would not be changed.
PiperOrigin-RevId: 171028825
---
Commit 4d70239f0 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Replace the contrib FC with core FC in canned Estimator docstring.
PiperOrigin-RevId: 171027602
---
Commit 6a1b867ff authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds the docstring with details for tf.estimator.train_and_evaluate
PiperOrigin-RevId: 171027527
---
Commit 7209c1602 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Mark IdentityN as CompilationOnly().
PiperOrigin-RevId: 171025171
---
Commit 8e22eb874 authored by FAIJUL<md.faijul.amin@intel.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
Eigen BiasAdd and BiasAddGrad Fix for NCHW Format. (#13158)
---
Commit 7db7a890c authored by Jingyue Wu<jingyue@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[Grappler] Move InferOutputShapes to GraphProperties.
So it can be used by other optimizers. No functional changes.
PiperOrigin-RevId: 171010106
---
Commit 2114fd51e authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Improve numerical stability of SoftPlus.
PiperOrigin-RevId: 171003559
---
Commit 727d6270f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix race condition in TensorForest tree traversal.
PiperOrigin-RevId: 170990425
---
Commit d016cb020 authored by Suharsh Sivakumar<suharshs@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix c++ gradients issue where multiple dependent outputs result in incorrect answer.
The issue is that we incorrectly calculate the pending num_expected_backprops for outputs nodes when one output transitively depends on another. this is because we use output nodes as an indicator of when we need to end our traversal. Instead we should only use output nodes that don't transitively get consumed by other output nodes as end indicators for our traversal. This change implements that fix.
Fixes #13190
PiperOrigin-RevId: 170971937
---
Commit 5405f3bd7 authored by gunan<gunan@google.com>
Committed by Frank Chen<frankchn@gmail.com>:
Fix tf-signal tests on pip packages. (#13483)
---
Commit f9f037c1c authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Bugfix to LSTMBlockCell and friends: clipping is off by default.
* Rename broken API argu clip_cell boolean to cell_clip value.
* Make default no clipping.
PiperOrigin-RevId: 170960975
---
Commit bfaaefa9e authored by Frank Chen<frankchn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update APIs for TPU Cluster Resolver to remove the custom API definition and instead use a standard definition file stored in GCS.
PiperOrigin-RevId: 170960877
---
Commit c31c118a3 authored by Ian Langmore<langmore@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Extend tf.contrib.bijector API to handle some non-injective transforms.
AbsoluteValue Bijector added to contrib/distributions/bijectors/
TransformedDistribution udpated to handle some non-injective transforms.
PiperOrigin-RevId: 170960054
---
Commit 664dd0859 authored by Frank Chen<frankchn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Disable cluster_function_library_runtime_test on Mac OS as it is currently failing with an Unimplemented error
PiperOrigin-RevId: 170958505
---
Commit 6af7ab97a authored by Mahmoud Abuzaina<mahmoud.abuzaina@intel.com>
Committed by gunan<gunan@google.com>:
MKL-DNN open source integration. (#13135)
* MKL-DNN conv and build integration
* Adding new files that were mistakenly missing from the PR
* Minor change in the pip package build file
* Added missing #include
* Fixed a linking failure when running the bazel test
* Fixing BUILD file format
* Using -fopenmp for building mkl_dnn only when running on linux
* Fixing build rule attribute value
* Removing unnecessary deps from mkl test rule
* Removed deps on mkl-dnn when not building with --config=mkl
---
Commit 93fa1af76 authored by Akshay Agrawal<akshayka@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make graph_callable, defun tf_decorators
PiperOrigin-RevId: 170948777
---
Commit b39525785 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added comment re:behavior of listener in case of multiple saver hooks.
PiperOrigin-RevId: 170946536
---
Commit de14fcbb6 authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Support evaluation in `_TrainingExecutor.run_master()`.
This CL aims to address the following TODO:
# TODO(b/66720832): Once listener API is added into Estimator.train, the
# eval and export process should be wrapped as a listener and passed to
# _start_distributed_training. The expected behavior should be
# 1. The export is invoked after each intermediate evaluation.
# 2. The evaluation and export should be invoked correctly at the end of
# training. This should be fine if the listener works as intended (it will
# send the `after_save` signal for the final ckpt saving).
1. is achieved as follows:
a. saving_evaluators are added to the CheckpointSaverHook's listeners inside the Estimator.
b. MonitoredSession calls after_run() of CheckpointSaverHook, which in turn calls after_save on the listeners.
2. is achieved in a similar way, but when MonitoredSession calls .end() on CheckpointSaverHook.
PiperOrigin-RevId: 170945961
---
Commit d4ea993ca authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Removes unnecessary eager-mode call to convert_to_tensor in record_gradient.
PiperOrigin-RevId: 170944265
---
Commit add6d2d03 authored by RJ Ryan<rjryan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf-signal] Use tf.spectral.dct in mfccs_from_log_mel_spectrograms instead of a private implementation.
PiperOrigin-RevId: 170943986
---
Commit b959da92f authored by Jiri Simsa<jsimsa@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixing CPU implementation of parallel_stack for tensors with non-zero rank.
PiperOrigin-RevId: 170942814
---
Commit 4cf61262a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Improve TFGAN documentation.
PiperOrigin-RevId: 170940188
---
Commit 0068086b9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Introduce `tf.data` namespace.
PiperOrigin-RevId: 170939033
---
Commit 0c8dbc1fd authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
matmul uses shape_tuple internally
PiperOrigin-RevId: 170938790
---
Commit ad37fa81f authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Refactor ExportStrategies into Exporters.
This design eliminates some indirection. Instead of combining an `export_fn` with `make_export_strategy` call to arrive at an ExportStrategy that is going to call the supplied `export_fn` inside its `export` call with Exporters one just defines the `export` call in an Exporter.
PiperOrigin-RevId: 170936640
---
Commit b925f8553 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fast-path for EagerTensorBase.dtype
PiperOrigin-RevId: 170933005
---
Commit 08e266d9b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Pass activity_regularizer to __init__ instead of using the (now
deprecated) property setter.
PiperOrigin-RevId: 170932807
---
Commit b002c8b7d authored by Jingyue Wu<jingyue@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[Grappler] Fold chains of reshapes.
Reshape(Reshape(input, shape1), shape2) is equivalent to Reshape(input,
shape2).
PiperOrigin-RevId: 170932278
---
Commit 075d1d13b authored by horance<horance@aliyun.com>
Committed by Frank Chen<frankchn@gmail.com>:
remove warning for forward decl (#13459)
---
Commit 931609fcf authored by Ryohei Kuroki<ryohei.kuroki@gmail.com>
Committed by Frank Chen<frankchn@gmail.com>:
Remove unnecessary specification for default kernel name (#13465)
---
Commit 94463f521 authored by Akshay Agrawal<akshayka@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Preserve target function signature in custom_gradient decorator
PiperOrigin-RevId: 170931715
---
Commit 681056636 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change to simplify prediction ops.
- it no longer returns predictions_no_dropout, which is mostly for debugging purpose.
- as a consequence, MultipleAdditiveTrees::Predict() doesn't return prediction_no_dropout, and it accept trees_to_include indexes intead of trees_to_drop indexes.
PiperOrigin-RevId: 170926422
---
Commit d6e963b82 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
SYCL: Fix build breakage introduced in
https://github.com/tensorflow/tensorflow/commit/f0e8c545e0196b8b48ce0ad0f116df97d980d1f1
Fixes #13350
PiperOrigin-RevId: 170923862
---
Commit 5123f2971 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal cleanup.
PiperOrigin-RevId: 170922297
---
Commit d0c76cd18 authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Handle the absence of a fresh eval checkpoint in `run_local`.
It is ~unexpected condition for an eval checkpoint to not be available after a train call to the estimator. There is a corner case when it is possible, but that's going to be resolved soon.
This case is handled for continuous (distributed) evaluation differently. Instead of erroring out, we skip evaluation runs. That behavior is captured in the `test_skip_evaluation_due_to_ckpt` test.
PiperOrigin-RevId: 170919925
---
Commit 435b31b9f authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 170892257
PiperOrigin-RevId: 171321707
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END_PUBLIC
---
Commit 1e1b3d902 authored by Pete Warden<pete@petewarden.com>
Committed by gunan<gunan@google.com>:
Changed output directory for Pi CI build to fix permissions problem with nightlies (#13257)
* Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change for Pi that's no longer needed
* Fixed Pi Zero OpenBLAS build problems and tidied up directories used
* More robust checks in Pi build script
* Changed output directory for Pi CI build to fix permissions problem
---
Commit fe3a2e65c authored by Yan Facai (???)<facai.yan@gmail.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
check invalid string type for dest_nodes in extract_sub_graph (#13057)
* BUG: check str type
* TST: add unit test
* CLN: remove list check
* CLN: use warning
* CLN: 2 indent
* CLN: raise TypeError if not list
* CLN: check string only
---
Commit 225ab7629 authored by Jean Wanka<jm.wanka@gmail.com>
Committed by Jean Wanka<jm.wanka@gmail.com>:
Fix polynomial decay with cycle for global step=0
For polynomial decay with cycle=True the learning rate at
step 0 becomes NaN, because in the process of calculating it we
devide by 0. This change should fix it, by setting the multiplier
for the decay steps to one for global_step=0.
---
Commit 286f57061 authored by Bjarke Hammersholt Roune<broune@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make Service::TransferToClient not attempt to manipulate the literal when the transfer failed, preventing a crash and allowing the caller to see the reason for the failed transfer.
PiperOrigin-RevId: 169770126
---
Commit e0501bc4d authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Shanqing Cai<cais@google.com>:
Fix GRUBlockCell parameter naming inconsistency (#13153)
* Fix GRUBlockCell parameter naming inconsistency
This fix tries to fix the issue in 13137 where
parameter `cell_size` is used instead of `num_units`.
This is inconsistent with other RNN cells.
This fix adds support of `num_units` while at the same
time maintains backward compatiblility for `cell_size`.
This fix fixes 13137.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add `@deprecated_args` for 'cell_size' in `GRUBlockCell`
This commit adds `@deprecated_args` for 'cell_size' in `GRUBlockCell`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Address review comment
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 02a2eba05 authored by Pete Warden<pete@petewarden.com>
Committed by gunan<gunan@google.com>:
Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change that's no longer needed (#13251)
* Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change for Pi that's no longer needed
* Fixed Pi Zero OpenBLAS build problems and tidied up directories used
* More robust checks in Pi build script
---
Commit 8ef722253 authored by Sanjoy Das<sanjoy@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove a redundant setName.
The EmitComputation should have emitted a function with the right name, so use a
CHECK instead.
PiperOrigin-RevId: 169764856
---
Commit 1b94147dc authored by Neal Wu<wun@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix broken GitHub links in tensorflow and tensorflow_models resulting from The Great Models Move (a.k.a. the research subfolder)
PiperOrigin-RevId: 169763373
---
Commit b1ada5f0c authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix TensorBoard python -m invoke in docs
PiperOrigin-RevId: 169758752
---
Commit 2957cd894 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Local run option of estimator training.
PiperOrigin-RevId: 169756384
---
Commit 1dc2fe7ac authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 166264198
PiperOrigin-RevId: 169998124
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END_PUBLIC
I also integrated #13073 by hand to make TAP happy.
---
Commit 92362d0f0 authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add WhileContext class and add plumbing for creating them.
This change introduces WhileContext, which stores information about a
while loop and will be used in future changes to generate while loop
gradient graphs. Exit nodes in a while loop now have a pointer to
their associated WhileContext. This will be used to retrieve the
context for a given loop.
This change adds an optional parameter to BuildWhileLoop() to create a
WhileContext for the while loop (currently this is always true, but
gradients will generate while loops without associated contexts). This
change also adds a as-yet-unused option to BuildWhileLoop() to return
the predicate output.
PiperOrigin-RevId: 168562303
---
Commit a4f6e7c1a authored by RJ Ryan<rjryan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add mel-scale conversion matrix support to tf.contrib.signal.
PiperOrigin-RevId: 168560255
---
Commit b00b6d23c authored by Henry Tan<henrytan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix a segmentation fault caused by invalid log directory in InternalFlush().
PiperOrigin-RevId: 168557063
---
Commit 2bc7a155a authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Add uint16 support for tf.decode_raw (#12719)
* Add uint16 support for tf.decode_raw
This fix tries to address the request raised in 10124 where
uint16 support for tf.decode_raw is needed. tf.decode_raw
already support half, float32, float64, int8, int16, int32, int64,
uint8. And uint16 was not supported.
This fix adds uint16 support for tf.decode_raw.
This fix fixes 10124.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Fix test failure caused by uint16 support of decode_raw and add unit tests.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 009285c09 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove benchmark for TensorShapeOld.
PiperOrigin-RevId: 168551108
---
Commit dc1eda8a6 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Fix CHECK-failure crash if a non-tuple was passed to GetTupleElement.
PiperOrigin-RevId: 168550703
---
Commit 010922ed9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 168549989
---
Commit c8a6131e9 authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
make `tf.sets` examples executable
Fixes #12969
PiperOrigin-RevId: 168549712
---
Commit bece65c6f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use a map instead of a vector of Children() in the BeamEntry.
The assumption is that since the entries are sparse (they are all populated, but most are never Active()), using the map will save memory and make iterating over the Children() more efficient.
PiperOrigin-RevId: 168548814
---
Commit 0d5ab82ce authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 168548642
---
Commit 3331c574b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Implementing gradients for tf.image.resize_bicubic.
PiperOrigin-RevId: 168547412
---
Commit 4982ef0fa authored by Martin Wicke<wicke@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add the ability to warn only once if deprecated functionality is used, and make that the default.
PiperOrigin-RevId: 168545655
---
Commit 99423416a authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Make shape inference error messages for the While HLO more readable. Build the error lazily.
PiperOrigin-RevId: 168531083
---
Commit d10374e45 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Discard some unneccessary logging commands.
PiperOrigin-RevId: 168500721
---
Commit 83cbabb85 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix wrong format of logging message.
PiperOrigin-RevId: 168497373
---
Commit eec4f1b3a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 168494944
---
Commit 69301f352 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 168494220
---
Commit 9d56f419c authored by Mingxing Tan<tanmingxing@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add crop_and_decode_jpeg_op that combines the crop and decode for better
performance.
PiperOrigin-RevId: 168493125
---
Commit 48ddf64d0 authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Make large params test only run in opt builds.
PiperOrigin-RevId: 168491913
---
Commit 11d3ac29d authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add tests for large numbers of parameter / return values and while loops.
PiperOrigin-RevId: 168487225
---
Commit 3cd6bdef5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added test cases on R4 slice.
PiperOrigin-RevId: 168482049
---
Commit 46a81b5c3 authored by Jacques Pienaar<jpienaar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add cast S64 to F32 test.
PiperOrigin-RevId: 168473650
---
Commit 59bdf598d authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add an automatically-generated "tensorflow.python.platform.build_info" script.
The motivation for this script is to provide better tools for
diagnosing load-time errors (such as the ones that plague the Windows
build due to DLL issues). Note that the script is intended to be
self-contained, so that it is possible to import it without loading
the entire TensorFlow runtime.
This generated script currently contains a single symbol,
`is_cuda_build`, which records whether the build has GPU support or not.
PiperOrigin-RevId: 168471034
---
Commit c3b86347f authored by Olivia Nordquist<nolivia@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
reenabling tests that are passing
PiperOrigin-RevId: 168466361
---
Commit c728665ec authored by Henry Tan<henrytan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add const qualifiers whenever appropriate.
PiperOrigin-RevId: 168465926
---
Commit bf96fcd13 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use the scalar cache in MeanGrad.
PiperOrigin-RevId: 168462267
---
Commit 1cada9ea2 authored by Olivia Nordquist<nolivia@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
reenabling test that passed after 100 runs w/o timing out
PiperOrigin-RevId: 168458634
---
Commit 00c865566 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Generate error (instead of segfault) when trying to copy string tensor
to GPU in EagerTensor constructor.
PiperOrigin-RevId: 168457320
---
Commit 655f26fc7 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Resurrects autograd-free eager gradients.
PiperOrigin-RevId: 168448557
---
Commit 8f37f3002 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Cleanups to handling of arguments during XLA compilation:
* combine resource kinds in XlaCompiler::Argument::Kind, use a separate XlaResource::Kind field to distinguish different kinds of resource.
* merge XlaContext::HandleOrConstant and XlaExpression, which were almost identical.
* remove XlaContext::Argument; instead, build XlaExpressions directly from XlaCompiler and add them to the XlaContext.
PiperOrigin-RevId: 168439341
---
Commit 7f5346a80 authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Reduce cmake log mess.
* Echo off for the .bat scripts.
* TF cmake: disable warnings in some of the patched projects (gif,jpeg,lmdb).
PiperOrigin-RevId: 168432070
---
Commit 2ad85aa4d authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use xla/tests:xla_internal_test_main for all tests under tf/compiler/xla
and remove any main() definitions in tests. This enables use of flags
in all tests.
PiperOrigin-RevId: 168424796
---
Commit cd377811d authored by Henry Tan<henrytan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Comment and error message consistency cleanup.
PiperOrigin-RevId: 168422582
---
Commit 7c19b82af authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update tf.sparse_reset_shape so that when shrinking the shape of an empty
sparse tensor, the result has a shape of all zeros.
PiperOrigin-RevId: 168419639
---
Commit fcacb40d4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
FirstReadyManager for scheduling nodes in VirtualScheduler.
The current FIFOManager may yield inefficient scheduling; _Recv pushed to the
FIFO blocks other nodes that can run before _Recv due to the node order in FIFO.
FirstReadyManager picks a node with the earliest time_ready in the queue,
avoiding this problem.
Also, fixed VirtualPlacer to properly set device when Node's device name does not
include job name and to set GPU:0 as default device.
PiperOrigin-RevId: 168418455
---
Commit 7e47624f5 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
eager: Initial support for iteration over tf.contrib.data.Dataset objects.
TODO:
- Support function-valued operation attributes in eager
(Required for MapDataset, FilterDataset etc. which encode the
per-element computation in a TensorFlow function)
PiperOrigin-RevId: 168418250
---
Commit b0a397fce authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
eager: Remove unnecessary TFE_Context argument to TFE_OpSetDevice.
PiperOrigin-RevId: 168417999
---
Commit 86211d554 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Graph transform to flatten atrous (dilated) convolutions (i.e., a sequence of SpaceToBatchND-Conv-BatchToSpaceND ops) to a regular Conv op with upsampled filters.
PiperOrigin-RevId: 168414124
---
Commit 3438981ca authored by David G. Andersen<dga@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Apply exported symbol filtering to the c++ API analogously to
what is filtered for the C API.
Fixes bug reported in comments on #1924
PiperOrigin-RevId: 168413719
---
Commit 7e023d865 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:CPU] Remove code from parallel CPU backend outlining that was causing unnecessary copies to be inserted, and which is no longer necessary since we added co-located buffer support for kCall.
*) All bitcast copy is no longer necessary as CopyInsertion will insert copies
at the root of the computation for a parameter which is live-out.
*) Copy if root does not define buffer no longer necessary because colocated
assignment looks at points-to set of root instruction.
PiperOrigin-RevId: 168412076
---
Commit 5da4df92c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Simplify some code in grappler_item_builder.cc, no change in logic.
PiperOrigin-RevId: 168409110
---
Commit 82ec6241a authored by drpngx<drpngx@users.noreply.github.com>
Committed by GitHub<noreply@github.com>:
Add six and numpy imports
---
Commit 9c4ce2452 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add flag parsing to more tests in xla/service specifically those which build
HLO graphs. This enables, for example, dumping of the graphs with
--xla_generate_hlo_graph. Also remove some superfluous tensorflow test_main
dependencies.
PiperOrigin-RevId: 168406746
---
Commit d4efa695c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Relax the feed_nodes collection check, which triggers a false positive in some modes where the feed node collection is auto-generated. Keep it as a warning to help correct user-provided feed node lists.
PiperOrigin-RevId: 168396408
---
Commit cbc46a856 authored by Changming Sun<chasun@microsoft.com>
Committed by gunan<gunan@google.com>:
Add a missing template explicit instantiation of SetZeroFunctor (#12791)
---
Commit 7bb08f5bf authored by Kevin Slagle<kjslag@gmail.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
fix ExponentialMovingAverage documentation so that ExponentialMovingAverage.apply is evaluated within control_dependencies (#12987)
---
Commit e6b011763 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Extend c++ gradient_checker to complex types.
PiperOrigin-RevId: 168392949
---
Commit 4086219a4 authored by Lyndon White<oxinabox@ucc.asn.au>
Committed by drpngx<drpngx@users.noreply.github.com>:
Correct minor typo in substr docs example (#12991)
---
Commit f63aa7f49 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Migrate core TFGAN functions to opensource.
PiperOrigin-RevId: 168391923
---
Commit bc6b60f1b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix tuple_losses bug caused by Python bug.
PiperOrigin-RevId: 168386341
---
Commit 7a8c63da3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Migrate `leaky_relu` to `nn_ops.py`. Will be used for TFGAN.
PiperOrigin-RevId: 168386268
---
Commit f7ba16fdf authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Do not export from eval on train data steps.
PiperOrigin-RevId: 168374021
---
Commit 9b9e54b34 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adding NCCL sum op, register all_sum gradient.
Streamlining nccl test.
PiperOrigin-RevId: 168347428
---
Commit bc300318e authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update gemmlowp hash as the commit history seems to have changed in the
repository.
PiperOrigin-RevId: 168343607
---
Commit 1e96d54d9 authored by gunan<gunan@google.com>
Committed by GitHub<noreply@github.com>:
Also accept non-k8 CPU types in build pip package. (#12975)
* Also accept non-k8 CPU types in build pip package.
Fixes #12735
* Make the script work with `set -e`.
---
Commit c0a4c7ffc authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Fix bug in ShapeUtil::ShapeIs that would lead to type inference errors.
PiperOrigin-RevId: 168323589
---
Commit 4af9be964 authored by Amy<amy@infosleuth.net>
Committed by drpngx<drpngx@users.noreply.github.com>:
support passing in a source url to the mnist read_data_sets function, to make it easier to use 'fashion mnist' etc. (#12983)
---
Commit 9f848734f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Tweak layer a bit to be eager friendly.
PiperOrigin-RevId: 168312865
---
Commit 60f15462b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change conv_input_scale and side_input_scale from attributes to inputs for improved flexibility, in fused_conv2d_bias_activation op.
PiperOrigin-RevId: 168311988
---
Commit 4b4e10f9c authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds dict support of eval metrics.
PiperOrigin-RevId: 168310444
---
Commit ab7f22de6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Move FusedConvBiasActivationShape out of common_shape_fns.cc to a lambda inside the op.
PiperOrigin-RevId: 168300911
---
Commit 3a98035fa authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Augment metadata output with source-line info, as before.
PiperOrigin-RevId: 168292527
---
Commit 349188152 authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Enable fused batch norm, which is 15-20% faster for training and inference.
PiperOrigin-RevId: 168288154
---
Commit 08587d45b authored by Yuefeng Zhou<yuefengz@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added back persistent memory tracking in queue op. The new tracking logic has avoided the crash in previous implementation: the queue_ passed to CreateTypedQueue may be unreffed if the resource is already created by another resource op that shares the same resource name and type.
PiperOrigin-RevId: 168284509
---
Commit 733063d55 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Fixing awkward wording.
---
Commit c7ad6bfef authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Removing accidental hash.
---
Commit 53dbc761a authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Adding Windows self check script to docs.
---
Commit ed1135994 authored by Andrew Harp<andrewharp@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add -latomic flag to benchmark_model target to fix Android x86 build.
PiperOrigin-RevId: 168281337
---
Commit c0348bb55 authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update tf_export.py to take constant name as an argument instead of a constant.
PiperOrigin-RevId: 168280613
---
Commit c3d19e40a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Cleanup training_ops to reduce code redudancy.
PiperOrigin-RevId: 168280069
---
Commit 123fb01ee authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Set fused=False for batch norm, because the test assumes no bessel's
correction. Fused=True would add bessel's correction to variance.
PiperOrigin-RevId: 168274392
---
Commit f0e8c545e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Switch resource variables from copy-on-read to copy-on-write.
RELNOTES: Change the signature of (C++) GetInputTensorFromVariable in
training_op_helpers to support new copy-on-write semenatics of resource
variables.
PiperOrigin-RevId: 168273249
---
Commit 495cc8e47 authored by Yuan (Terry) Tang<terrytangyuan@users.noreply.github.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
Minor wording change in timeseries module's README (#12938)
* Minor wording change in timeseries module's README
* Address comments
---
Commit f13b876ed authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Making the default build from source version 1.4.0dev. The whl files that are built will be 1.3.0devDDMMYYYY.
---
Commit 2356c0ff4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Delete ScopedTFStatus to avoid leaking it for long running trainers(1+day).
PiperOrigin-RevId: 168259652
---
Commit e15f4cae2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Don't remove all aliases from linalg namespace.
Get rid of redundant aliases.
PiperOrigin-RevId: 168257658
---
Commit c58082642 authored by postBG<profile2697@gmail.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
Fix minor typo in Programmers guide (#12965)
* Fix minor typo in Programmers guide
* change to "this"
---
Commit 509372c2e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a lot of operations' flops calculations
PiperOrigin-RevId: 168256746
---
Commit 80ed8afc0 authored by Francois Chollet<fchollet@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add Flatten to core layers.
PiperOrigin-RevId: 168254118
---
Commit a6223c01a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix locking of variables in SparseProximalGradientDescent,
AdagradDA, SparseAdagradDA.
PiperOrigin-RevId: 168252530
---
Commit abde00830 authored by Olivia Nordquist<nolivia@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
adding InputTensor class for symmetry with OutputTensor
PiperOrigin-RevId: 168250085
---
Commit 0451032ca authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Fix variable naming style guide violation.
PiperOrigin-RevId: 168245542
---
Commit a202a5a94 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 168245371
---
Commit f93e354cb authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.contrib.data] Switch backend Dataset representation to DT_VARIANT.
This change introduces a new `DatasetWrapper` type that wraps a
`DatasetBase*` and can be stored in a DT_VARIANT tensor. All Dataset
ops now consume and produce DT_VARIANT instead of DT_RESOURCE, and the
underlying implementation is simplified because the `DatasetWrapper`
can be passed directly by value without using the `ResourceMgr`.
PiperOrigin-RevId: 168240571
---
Commit a4042cd2a authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Introduces the placeholder for _TrainingExecutor, which serves the implementation of tf.estimator.train_and_evaluate.
PiperOrigin-RevId: 168240151
---
Commit 10ba148f7 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Switch control_flow_ops library to use Resource variants of Stack operators, instead of deprecated Ref variants.
PiperOrigin-RevId: 168234822
---
Commit ca43fe82b authored by Ali Yahya<alive@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TFE: Improves the interfaces of tape.watch_variable() and implicit_grad().
tape.watch_variable() replaces tape.watch() and now is called on ResourceVariable objects instead of their underlying handles.
implicit_grad() now returns a list of (gradient, variable) pairs to be consistent with tf.Optimizer's interface.
PiperOrigin-RevId: 168232055
---
Commit b72862dfc authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
internal change
PiperOrigin-RevId: 168225993
---
Commit da3280f4d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Re-enable tsan for sdca_estimator_test.
PiperOrigin-RevId: 168186374
---
Commit c936c1155 authored by Yifei Feng<yifeif@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix pip tests for contrib/gan.
- Add *_impl.py so tests can still access removed symbols.
- Add /python directory layer to make *_impy.py and __init__.py not in the same dir.
PiperOrigin-RevId: 168161722
---
Commit ce9a2b00f authored by Toby Boyd<tobyboyd@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Performance guide update
PiperOrigin-RevId: 168159289
---
Commit 3bce4f9a0 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TFE: expose tfe.num_gpus()
PiperOrigin-RevId: 168154345
---
Commit 67a7cbc28 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Changed the default eval throttle secs from 2 min to 10 mins.
PiperOrigin-RevId: 168120323
---
Commit 92bed178f authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Reduce cmake log mess.
* Echo off for the .bat scripts.
* TF cmake: disable warnings in some of the patched projects (gif,jpeg,lmdb).
PiperOrigin-RevId: 168119914
---
Commit 702d59582 authored by joshkyh<joshkyh@users.noreply.github.com>
Committed by Yifei Feng<fengyifei2026@gmail.com>:
Corrected hyperlink for audio training tutorial (#12923)
---
Commit 877c9deca authored by Frank Chen<frankchn@gmail.com>
Committed by Yifei Feng<fengyifei2026@gmail.com>:
Reverse change eb75ded6 so that internal tests will pass. (#12933)
As support for int64 global steps is not ready in TPUs, I am reversing this change so that our internal performance and regression tests will pass.
---
Commit 665966438 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Re-enable grpc_session_test.
PiperOrigin-RevId: 168078694
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Commit 405def792 authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Switch CallInliner to use CallGraph::VisitNodes.
PiperOrigin-RevId: 168078645
---
Commit aba3466f1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Exposes Head and factory methods in tf.contrib.estimator.
PiperOrigin-RevId: 168071246
---
Commit b76565b39 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Some profiler fixes and cleanup.
PiperOrigin-RevId: 168069346
---
Commit 32ffc5a81 authored by Jonas<sauercrowd@users.noreply.github.com>
Committed by Yifei Feng<fengyifei2026@gmail.com>:
Just a dot in order to be consistent (#12919)
added a dot to the `7` to make clear it's a float (like every other number)
---
Commit 0753b0c79 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Scope the scalar cache in the context.
PiperOrigin-RevId: 168065417
---
Commit 48deb206b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Migrate TFGAN features to third_party.
PiperOrigin-RevId: 168060880
---
Commit d2ae1311f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixing an issue in the BUILD file of the LSH ops.
PiperOrigin-RevId: 168056645
---
Commit 2f440eda4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Expose NumpyReader for reading timeseries data.
PiperOrigin-RevId: 168055838
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Commit be1916ce7 authored by Daniel Grazian<dgr@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added functionality to allow `SqlDataset` to interpret a database column as various numeric types, including several integer types and `dtypes.float64`.
PiperOrigin-RevId: 168055827
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Commit fa2000a0b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Supporting nightly windows pip packages.
PiperOrigin-RevId: 168054959
---
Commit a263ea626 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
eager: Treat eager tensors as constants during graph construction.
Unless capturing is explicitly enabled.
PiperOrigin-RevId: 168052675
---
Commit 6e402d0d2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make TODO a bit more specific.
PiperOrigin-RevId: 168051381
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Commit c779384bc authored by Daniel Grazian<dgr@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added code example to the doc string for `SqlDataset`.
PiperOrigin-RevId: 168049037
---
Commit ff6dd474a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use self._in_graph_mode consistently in ResourceVariable
instead of sometimes getting it from the context.
Also: fix formatting of a comment and use a more precise test to detect
if initial_value is set.
PiperOrigin-RevId: 168047258
---
Commit f331f528b authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Removes "fast paths" which are not fast in eager mode.
PiperOrigin-RevId: 168046278
---
Commit 86f1713e5 authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Introduces TrainSpec and EvalSpec.
PiperOrigin-RevId: 168040435
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Commit c8b9e92f0 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
eager: Move "register_function" to context.py
This will allow function registration from other
modules without having to import "function.py".
(And besides, the function really does belong on the context).
PiperOrigin-RevId: 168040411
---
Commit 74137f994 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix signed int overflow issue in tensor_id.cc
When a node name has a long numeric suffix, e.g.,
"foo/y_0/gradient_debug_09684b60f2184c67b744721915034528" (as has happened with tfdbg GradientsDebugger),
the parsing algorithm in ParseTensorName() may experience signed int overflow. Replacing the types with "unsigned int" resolves the issue.
PiperOrigin-RevId: 168039195
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Commit 450c3b562 authored by Rohan Jain<rohanj@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Using rendezvous manager to pass args / rets between devices during function remote execution. This enables CPU->GPU remote device executions now.
PiperOrigin-RevId: 168038285
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Commit 82cc6529f authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixes the wording about StopIteration.
PiperOrigin-RevId: 168034451
---
Commit fb5588002 authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a statement on install/index.md on what os are supported.
PiperOrigin-RevId: 168032996
---
Commit f83f6b9ef authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Handle higher-order HLOs (e.g. While) in CallInliner and test.
PiperOrigin-RevId: 168029345
---
Commit 8988ae365 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 167916124
PiperOrigin-RevId: 168916710
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PiperOrigin-RevId: 167401527
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END_PUBLIC
---
Commit b30ce4714 authored by James Qin<jamesqin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Revamp CudnnRNN Saveables
1. Use a lossy way to save/restore cudnn biases during checkpointing.
Cudnn uses 2 biases each gate for all RNNs while tf uses one. To allow cudnn checkpoints
to be compatible with both Cudnn and platform-independent impls, previously both
individual bias and summed biases each gate were stored.
The new way only stores the bias sum for each gate, and split it half-half when
restoring from a cudnn graph. Doing this does not cause problems since RNNs do not use
weight-decay to regularize.
2. Use inheritance instead of branching
* Split RNNParamsSaveable to 1 base class and 4 subclasses.
* Extract common routines and only overwrite rnn-type-specific pieces in subclasses.
PiperOrigin-RevId: 166413989
---
Commit ebc421daf authored by Alan Yee<alyee@ucsd.edu>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Update documentation for contrib (#12424)
* Update __init__.py
Remove ## for standardization of api docs
* Create README.md
Add README to define this directory's purpose
* Update __init.py
Markdown styling does not show up well in api docs
* Update README.md
Add short mention of describing what to deprecate
* Update README.md
Capitalize title
* Update README.md
Revert README change
* Delete README.md
---
Commit fd295394d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use latest version of nsync library, which now allows use of cmake on MacOS.
PiperOrigin-RevId: 166411437
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Commit 587d728e0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Refactor reduce-precision-insertion filters, add several more options.
In particular, this adds the ability to add reduce-precision operations after fusion nodes based on the contents of those fusion nodes, and the ability to filter operations based on the "op_name" metadata.
PiperOrigin-RevId: 166408392
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Commit 3142f8ef5 authored by Ali Yahya<alive@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Steps toward making ResourceVariables compatible with Eager.
This change forces the value of the reuse flag in variable scopes to be tf.AUTO_REUSE when in Eager mode.
This change also adds comprehensive Eager tests for ResourceVariable.
PiperOrigin-RevId: 166408161
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Commit b2ce45150 authored by Igor Ganichev<iga@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make Graph::IsValidNode public
It can be reimplemented with existing public APIs, but instead of doing so,
making this one public seems better.
PiperOrigin-RevId: 166407897
---
Commit 0a2f40e92 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA::CPU] Fix HLO profiling in parallel CPU backend.
PiperOrigin-RevId: 166400211
---
Commit c4a58e3fd authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Identify frame ids for all nodes in a graph.
PiperOrigin-RevId: 166397615
---
Commit 989713f26 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 166294015
PiperOrigin-RevId: 166521502
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END_PUBLIC
---
Commit 575bd01d4 authored by Vijay Vasudevan<vrv@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove /replica:0 declaration in device functions and allow them
to be freely bound based on cluster names present.
When more than one value matches, it will choose the first
lexicographically available device that matches the specification,
which in practice will do pretty much the same thing as hardcoding
/replica:0.
PiperOrigin-RevId: 165766815
---
Commit d685bbc54 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Benchmarks with backprop enabled (and removes overhead).
Before:
np.array([[3]]) took 1.50us (30000 iterations)
Tensor([[3]]) took 16.30us (30000 iterations)
MatMul [2, 2]: np.dot took 0.61us (30000 iterations)
MatMul [2, 2]: tf.matmul took 60.53us (30000 iterations)
MatMul [2, 2]: gen_math_ops.mat_mul took 25.72us (30000 iterations)
MatMul [2, 2]: TFE_Py_Execute took 2.82us (30000 iterations)
MatMul [2, 2]: defun(tf.matmul) took 45.70us (30000 iterations)
MatMul [100, 784]: np.dot took 383.32us (1000 iterations)
MatMul [100, 784]: tf.matmul took 350.35us (1000 iterations)
MatMul [100, 784]: gen_math_ops.mat_mul took 315.97us (1000 iterations)
MatMul [100, 784]: TFE_Py_Execute took 249.42us (1000 iterations)
MatMul [100, 784]: defun(tf.matmul) took 280.95us (1000 iterations)
If backprop is enabled:
np.array([[3]]) took 0.83us (30000 iterations)
Tensor([[3]]) took 15.21us (30000 iterations)
MatMul [2, 2]: np.dot took 0.63us (30000 iterations)
MatMul [2, 2]: tf.matmul took 76.31us (30000 iterations)
MatMul [2, 2]: gen_math_ops.mat_mul took 38.66us (30000 iterations)
MatMul [2, 2]: TFE_Py_Execute took 2.31us (30000 iterations)
MatMul [2, 2]: defun(tf.matmul) took 51.96us (30000 iterations)
MatMul [100, 784]: np.dot took 378.34us (1000 iterations)
MatMul [100, 784]: tf.matmul took 352.09us (1000 iterations)
MatMul [100, 784]: gen_math_ops.mat_mul took 364.28us (1000 iterations)
MatMul [100, 784]: TFE_Py_Execute took 350.68us (1000 iterations)
MatMul [100, 784]: defun(tf.matmul) took 377.19us (1000 iterations)
After:
np.array([[3]]) took 0.86us (30000 iterations)
Tensor([[3]]) took 15.19us (30000 iterations)
MatMul [2, 2]: np.dot took 0.60us (30000 iterations)
MatMul [2, 2]: tf.matmul took 64.51us (30000 iterations)
MatMul [2, 2]: gen_math_ops.mat_mul took 28.34us (30000 iterations)
MatMul [2, 2]: TFE_Py_Execute took 2.38us (30000 iterations)
MatMul [2, 2]: defun(tf.matmul) took 48.50us (30000 iterations)
MatMul [100, 784]: np.dot took 475.27us (1000 iterations)
MatMul [100, 784]: tf.matmul took 399.50us (1000 iterations)
MatMul [100, 784]: gen_math_ops.mat_mul took 307.80us (1000 iterations)
MatMul [100, 784]: TFE_Py_Execute took 272.83us (1000 iterations)
MatMul [100, 784]: defun(tf.matmul) took 350.06us (1000 iterations)
PiperOrigin-RevId: 165765641
---
Commit d902babbd authored by David Majnemer<majnemer@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Algebraic simplifier incorrectly transformed convolutions into bitcasts
PiperOrigin-RevId: 165765575
---
Commit 8e78e10ef authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
disable test temporarily
PiperOrigin-RevId: 165763204
---
Commit a271c37db authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Small improvements to the arithmetic optimizer
PiperOrigin-RevId: 165760972
---
Commit b6409594d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Convert some tests to cover both eager and graph.
PiperOrigin-RevId: 165760364
---
Commit 5ead76420 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Reduce XLA compile time by ~7% for a convolutional image model:
* Added CompactPointerSet<T>, which is optimized for set size <= 1.
* Changed expensive CHECKs to DCHECKS in buffer_assignment.cc
* Reserve space in DFS state array before starting DFS.
* Use unsigned arithmetic in DFS state maintenance.
* HloInstruction:
- Moved frequently used fields to start for better cache locality.
- Use InlinedVector instead of vector for operand array.
- Use InlinedVector instead of vector for DFS stack.
* Pre-compute "is array" and "is tuple" for LogicalBuffer.
* PointsToSet:
- Combine two ShapeTrees into one.
- Use CompactPointerSet instead of std::set to hold sources.
- Use CompactPointerSet instead of std::set to hold flattened buffers.
* ShapeTree: use unique_ptr instead of optional for shape storage
(reduces size and destruction overhead).
* Add proper const qualifiers to some FlatSet iterator methods.
Co-author=jeff
PiperOrigin-RevId: 165759117
---
Commit a0544b0b8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make TPU symbols more easily accessible from contrib.
PiperOrigin-RevId: 165753322
---
Commit cdc08afbb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Slightly relax numeric tolerance for sinlge precision tests of matrix_solve_ls (and tighten it for double precision).
PiperOrigin-RevId: 165750936
---
Commit eebcc861a authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixed the race condition between multi eval step increments.
PiperOrigin-RevId: 165750595
---
Commit bbc0b8471 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 165748384
---
Commit 65f87c967 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change device string in RecvNodeDescriptor in VirtualScheduler from const
reference to const as the RecvNodeDescriptor (and cached_recv_nodes map)
outlives device string from the NodeDef.
PiperOrigin-RevId: 165748244
---
Commit 57b0276cf authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 165747467
---
Commit 64e54423b authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.contrib.data] Fix nested dictionary handling in dataset elements.
Backports recent changes to the core version of the nest.py library.
Fixes #12372.
PiperOrigin-RevId: 165746517
---
Commit 378463ae8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make tf.eye accept Python integer shapes and avoid generating unnecessary shape handling ops.
Clean up test and add tests with placeholders.
PiperOrigin-RevId: 165746090
---
Commit 109ecf823 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add support for complex in matrix_solve_ls_op.
Split into separate files for each data type to speed up build.
PiperOrigin-RevId: 165744539
---
Commit 51441302d authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change.
PiperOrigin-RevId: 165737455
---
Commit d0cb32c2a authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Docstring for ResourceVariable.
PiperOrigin-RevId: 165735441
---
Commit 32f4c5b6e authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add IsFinite op in tf2xla.
PiperOrigin-RevId: 165734702
---
Commit 5f5c3eb0a authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Move "supervisor.md" from programmer's guide to api_guides.
PiperOrigin-RevId: 165732026
---
Commit d001b58de authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.contrib.data] Fix handling of multi-output tf.py_func() in Dataset.map().
If the `map_func` returns a list of tensors, the current code will
attempt to stack it into a single tensor and raise an unintuitive
error. Some multi-output ops (such as `tf.py_func()`) return lists of
typically-not-stackable tensors. This change treats lists returned
from `map_func` as tuples; users who were relying on this
auto-stacking behavior should manually call `tf.stack()` (or
`tf.convert_to_tensor()`) on the list being returned.
Fixes #12396.
PiperOrigin-RevId: 165731970
---
Commit e6c60fb36 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix flakyness, sometimes the op takes ms to run.
PiperOrigin-RevId: 165728705
---
Commit 360bff8ae authored by Ali Yahya<alive@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Makes tape.watch() work with ResourceVariables.
To this end, also adds a property, `device`, to TensorNode.
PiperOrigin-RevId: 165726368
---
Commit 80bd004cd authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Implements SVDF model for keyword spotting tutorial.
PiperOrigin-RevId: 165725938
---
Commit aaabf6b90 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix bug: Using a ComputationDataHandle from the wrong ComputationBuilder.
PiperOrigin-RevId: 165724017
---
Commit 107d165d9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use 2-arg TraceMe constructor to prevent unnecessary StrCat computation when
tracing is disabled.
PiperOrigin-RevId: 165722280
---
Commit 7d01f89cc authored by Pete Warden<petewarden@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Android demo app for speech recognition
PiperOrigin-RevId: 165714459
---
Commit a6729325a authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Deletes convert_n_to_eager_tensor. Moves convert_to_eager_tensor to constant_op.
PiperOrigin-RevId: 165704074
---
Commit 573b303ac authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BUILD cleanup in tensorflow/core/kernels
PiperOrigin-RevId: 165688864
---
Commit 711be6adc authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
`Dataset.from_generator()` constructs a dataset from a Python generator.
With this change, it becomes possible to use a Python generator as the source
dataset for a `tf.contrib.data` input pipeline. This enables easier integration
with non-TensorFlow data sources. The generator can yield a nested structure of
NumPy arrays, or values convertible to NumPy arrays.
This addresses a concern raised in issue #7951.
PiperOrigin-RevId: 165663857
---
Commit 00594ecdd authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
New landing page and leftnav for Programmer's Guide.
PiperOrigin-RevId: 165660897
---
Commit 7359fec79 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Implement Batchnorm Inference by expanding them into smaller ops.
1. Add batch norm inference support in batchnorm_rewriter
2. Connect xla's batchnorm inference to tf's FusedBatchNorm
RELNOTES: n/a
PiperOrigin-RevId: 165655351
---
Commit f0da8bf56 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[Rematerialization] Reconsider to remat operations with control dependencies
We added a conservartive logic to not rematerialize operations with control dependencies since the rematerialized operations could result in undesired ordering. However, we now realize that when we remat an operation, we also copy the dependencies of them, which guarantees the rematerialized operation has the same constraint as the original operation.
PiperOrigin-RevId: 165654629
---
Commit a1225879c authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Propagate error code in computation replay tool.
PiperOrigin-RevId: 165654497
---
Commit 513def0bb authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixed BuildOpInfoWithoutDevice
PiperOrigin-RevId: 165653933
---
Commit d7e425f0b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix linear algebra benchmarks.
PiperOrigin-RevId: 165653891
---
Commit 465c40819 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix the shape information propagation for Enter op.
PiperOrigin-RevId: 165653579
---
Commit c0198fd8d authored by Derek Murray<derek.murray@gmail.com>
Committed by gunan<gunan@google.com>:
[CMake] Add missing dependencies on boosted_trees protos and other fixes (#12315)
* [CMake] Add missing dependencies
* Avoid rebuilding boosted_trees protos for Python.
* Add GPU implementation ZeroInitializerOp to the CMake build.
---
Commit 641943fd7 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 165652758
---
Commit e31346452 authored by Jonathan Hseu<jhseu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TPUEstimator: Fix the outfeed thread join.
PiperOrigin-RevId: 165651781
---
Commit 565a9d350 authored by Vijay Vasudevan<vrv@google.com>
Committed by Andrew Harp<andrewharp@users.noreply.github.com>:
Add missing 'type' keyword to ArgumentParser add_argument (#12275)
Fixes #12210
---
Commit 19a55725a authored by Rohan Jain<rohanj@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allowing functions to run across devices. This change expands the ProcessFunctionLibraryRuntime library to Instantiate and Run functions on different devices. When a FunctionLibraryRuntime encounters a function with a target that is another device, it delegates Instantiate() and Run() calls to the ProcessFunctionLibraryRuntime.
This change also moves the table_ containing all function instantiations to the PFLR instead of the FunctionLibraryRuntime.
PiperOrigin-RevId: 165651194
---
Commit 8c0853db7 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a test for negative and zero pow() input.
PiperOrigin-RevId: 165650096
---
Commit a3c4e980e authored by Pete Warden<petewarden@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixed input shape for freezing audio graphs
PiperOrigin-RevId: 165649546
---
Commit 9b9e5989d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a call_logit_fn utility for logit_fn's, similar to Estimator's _call_model_fn.
PiperOrigin-RevId: 165649388
---
Commit 4ff1f4442 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Remove the script as well if building tf_nightly.
---
Commit 373d78987 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Adding the break.
---
Commit 0139ac983 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Remove tensorboard as a required package if we are building tf_nightly.
---
Commit a92bd5d5c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 165630063
PiperOrigin-RevId: 165957821
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END_PUBLIC
---
Commit 9f81374c3 authored by raymondxyang<zihao.yang@microsoft.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Add option for build more python tests in Cmake (#11853)
* Ignore Windows built project
* Fix deprecated methods in tf.contrib.python
* Fix regex match for Windows build in contrib.keras
* Fix Regex match for Windows build in session_bundle
* * Fix deprecated methods
* Fix regex match for Windows
* Fix compatibility issue with Python 3.x
* Add missing ops into Windows build for test
* Enabled more testcases for Windows build
* Clean code and fix typo
* Add conditional cmake mode for enabling more unit testcase
* Add Cmake mode for major Contrib packages
* Add supplementary info in RAEDME for new cmake option
* * Update tf_tests after testing with TF 1.3
* Clean code and resolve conflicts
* Fix unsafe regex matches and format code
* Update exclude list after testing with latest master branch
* Fix missing module
---
Commit 98f0e1efe authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Dynamic ksize and strides with MaxPool (#11875)
* Dynamic ksize with max_pool
This fix tries to fix the issue raised in 4746 where ksize
is static (attr) with max_pool.
This fix changes ksize to input tensor so that it is dynamic now.
This fix fixes 4746.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add dynamic ksize to MaxPoolGrad and MaxPoolGradGrad
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for max_pool_v2
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Fix GPU Jenkins issue.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Enable MaxPoolV2 in GPU
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Hide MaxPoolV2 and other fixes.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 02d6bc185 authored by Bairen Yi<byronyi@users.noreply.github.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
remove useless variable (#12212)
---
Commit ed6b0d905 authored by namrata-ibm<bhavenamrata@gmail.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Adding support for s390x in calculation of cpu_frequency (#12201)
---
Commit 627dfc9dd authored by Taehoon Lee<taehoonlee@snu.ac.kr>
Committed by Taehoon Lee<taehoonlee@snu.ac.kr>:
Fix typos
---
Commit c0f9b0a91 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
In fast-math mode emit a tanh that has a faster min/max.
PiperOrigin-RevId: 164943597
---
Commit 87605f3d6 authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Use HloEvaluator for ComputeConstant, remove the need of a dedicated
compute constant backend.
PiperOrigin-RevId: 164940970
---
Commit 881de45c2 authored by Taehoon Lee<me@taehoonlee.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Add bool type supports for GPU kernels (#11927)
* Add bool type supports for GPU kernels
* Add bool type test codes for GPU kernels
---
Commit eeacdcdb1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add missing "CPU" suffix in registrations.
PiperOrigin-RevId: 164939527
---
Commit de01be952 authored by namrata-ibm<bhavenamrata@gmail.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Adding support for Big Endian in graph_constructor_test and wav_io (#12179)
---
Commit 26719d29f authored by QingYing Chen<pkudysj@126.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Implement CRF decode (Viterbi decode) for tensor (#12056)
* Implement CRF decoding for tensors
* add test code for tensor version's CRF decoding
* made modifications according to pylint
* add some comments for crf decode
* remove useless code
* add comments at the top comment of crf module and add more comments in crf_test
* capitalize first char of first word in comments
* replace crf_decode test code with a deterministic example
---
Commit f9a81ca2f authored by Pete Warden<pete@petewarden.com>
Committed by gunan<gunan@google.com>:
Create CI build script for Raspberry Pi (#12190)
* Create CI build script for Raspberry Pi
* Moved location of Pi build script
---
Commit e2a163a90 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Merge code from PR #11940 with internal changes from cl/164796436, and update Python tests to also run on GPU.
PiperOrigin-RevId: 164929133
---
Commit 08bbfa187 authored by Taehoon Lee<me@taehoonlee.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Fix typos (#12195)
---
Commit ab96f41fb authored by Luke Iwanski<luke@codeplay.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
[OpenCL] Extends matmul_benchmark.py to cover SYCL (#11697)
* [OpenCL] Extends matmul_benchmark.py to cover SYCL
* Fixed typo
* /gpu:0 -> /device:GPU:0
* Fixes control_flow_ops_py_test
* /gpu: -> /device:GPU:
* Fixes //tensorflow/python/profiler/internal:run_metadata_test
* gpu: -> GPU:
* Fixes tfprof_node
* [OpenCL] Fixes device path to name with many colons (#123)
The device path is constructed from a device name by replacing all
colons with underscores. Some device names contain more than one colon,
for example 'device:SYCL:0' which gives a path 'device_SYCL_0'. The
previous code would not convert this back to the original device name,
but rather to 'device:SYCL_0'.
An alternative fix would be to convert all underscores to colons in the
device name (i.e. remove the restriction inside `replace("_", ":", 1)`),
however I'm not sure if there are any device names which contain
underscores.
* If no gpu device aviable fake one
* gpu: -> device:GPU
* Fixes profiler test
* /gpu:x -> /device:GPU:x
* Fixes debug_io_utils_test.cc test
* Fixes device_name_utils_test.cc
---
Commit 35e7a3665 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
Remove unneeded casting of int64 for reverse_sequence (#12192)
This fix remove unneeded cast of int64 for reverse_sequence:
```
lengths = math_ops.to_int64(lengths)
```
as int32 has already been enabled for reverse_sequence.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 9fba8c185 authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add benchmark dashboard link to benchmarks doc. Also, I added a link and
description for Benchmarks page to Community index page.
PiperOrigin-RevId: 164924906
---
Commit bb6f32fa7 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make HloAliasAnalysis updatable after changes to the HLO graph.
As part of this change make HloAliasAnalysis a thinner layer which
basically only holds a map from HloValue to HloBuffer and vice versa.
PiperOrigin-RevId: 164923041
---
Commit 9103096c1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by Thomas K?ppe<tkoeppe@google.com>:
Merged commit includes the following changes:
164923041 by meheff:
Make HloAliasAnalysis updatable after changes to the HLO graph.
As part of this change make HloAliasAnalysis a thinner layer which
basically only holds a map from HloValue to HloBuffer and vice versa.
--
PiperOrigin-RevId: 164923041
---
Commit 822603aed authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Merging sibling fusion instruction using multi_output_fusion
PiperOrigin-RevId: 164920220
---
Commit c035aa2a8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 164917891
---
Commit e1e81d9ba authored by Luke Iwanski<luke@codeplay.com>
Committed by Rasmus Munk Larsen<rmlarsen@google.com>:
[OpenCL] Fixes double memcpy bug (#151) (#12173)
* [OpenCL] Fixes double memcpy bug (#151)
As the debg CopyOp is called on a Tensor without type, we need to use
the DataType enum to get type information, and use this to pass the type
on to Eigen. This is a workaround Eigen's need to have a type when
calling memcpy. If the Eigen memcpy can be provided without a type
requirement, then the memcpy in sycl_util is unnecessary.
* Acts on feedback from: #12173/files/32cb12a9001b672425867b5a3110fd98e737a20b#r132496277
---
Commit d9ca2d86d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change
PiperOrigin-RevId: 164916465
---
Commit b8d13d218 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove more parts of DCASGD missed in the first pass. (47949b)
PiperOrigin-RevId: 164914552
---
Commit 73b3d52c7 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
cmake fix
PiperOrigin-RevId: 164911656
---
Commit 2173b5b0a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow TFE_TensorHandleCopyToDevice to have the same device as src and
destination. It will reuse the same underlying buffer in those cases.
PiperOrigin-RevId: 164909906
---
Commit 13eb3b90e authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Experimental C and Python APIs to invoke TensorFlow kernels on concrete values.
PiperOrigin-RevId: 164902588
---
Commit 7dfabcc01 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Initialize ExecutionOptions in ComputeConstant to default values.
PiperOrigin-RevId: 164894867
---
Commit c8897e9bc authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Static required time computation
PiperOrigin-RevId: 164894645
---
Commit 076158f9b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Enable implicit->explicit conversion by default.
PiperOrigin-RevId: 164890915
---
Commit 58c4a4cb1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Bugfix: number of input channels is not necessarily in the last dimension, after introduction of data_format param.
PiperOrigin-RevId: 164889729
---
Commit 8f9b1af8a authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Recover MonitoredSession when the Coordinator is requested to stop with one of the _PREEMPTION_ERRORS.
When SyncReplicasOptimizer is used, a preemption in the Coordinator may result in two cases:
Case 1) the session gets silently marked as complete
Case 2) the session gets stuck
This CL aims to solve and verify solutions for both of these problems. Fix 1 changes the should_stop logic. Fix 2 changes the CoordinatedSession.run() logic.
SyncReplicasOptimizer runs a separate set of threads using a Coordinator instance. Those threads do FIFOQueue.enqueue; the main thread does a blocking FIFOQueue.dequeue.
`sync_token_q` FIFOQueue is on parameter-servers. When one of the PS instances gets preempted, an AbortedError causes the Coordinator to stop via request_stop(ex). That by itself changes the state of MonitoredSession.should_stop() to True (Fix 1).
Results of the blocking Dequeue operation are sent to the chief worker via Recv. What happens next depends on the amount of tokens in `sync_token_q`. If there are enough for the next call to Dequeue to return, then the low-level "tf session run() call" returns. The next iteration of the `while not MonitoredSession.should_stop()` loop decides that the training is complete (Case 1).
If there are not enough tokens in `sync_token_q`, then the blocking Dequeue is going to keep waiting for them. This results in the graph execution getting stuck and the whole session getting garbage collected after 10 minutes (Case 2).
We decided to fix that by re-creating a session after it gets garbage collected (Fix 2). An alternative was to try to cancel the pending Dequeue operation, but it's not clear that it is the right thing to do and it is also not easy.
PiperOrigin-RevId: 164888390
---
Commit 46e4de6e5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Undo loop fusion changes for now as they seem to be altering a few results.
END_PUBLIC
RELNOTES: n/a
BEGIN_PUBLIC
BEGIN_PUBLIC
Automated g4 rollback of changelist 164825735
PiperOrigin-RevId: 165340331
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END_PUBLIC
---
Commit e62de3f78 authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Handle Reverse in HloEvaluator.
Also move HandleCopy to outer visitor instead, since it can be implemented
as a type-agnostic copy instead.
PiperOrigin-RevId: 163866499
---
Commit 96675956e authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
C API: Avoid converting uninitialized tensorflow::Tensor to TF_Tensor*
And return error messages instead of CHECK failing when the conversion
fails.
PiperOrigin-RevId: 163863981
---
Commit 9593704b2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix framework import function dependency.
PiperOrigin-RevId: 163863883
---
Commit 66f148542 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Improve performance of compilation by ~8% by speeding up the
hlo rematerialization pass.
Changes:
. Wrap each HloInstruction* inside an Item structure that keeps
associated data. This allows us to get rid of a bunch of
hash tables indexed by HloInstruction*.
* Switch to an intrusive linked list (instead of std::list) so
that we can avoid a hash table that maps to std::list::iterator.
* Use inlined vector in a few places.
PiperOrigin-RevId: 163848365
---
Commit 6d77a0129 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Hide NonMaxSuppression and NonMaxSuppressionV2 ops and add a python wrapper that sets a backwards compatible default value for iou_threshold.
PiperOrigin-RevId: 163844703
---
Commit 1a4499607 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix: add GDN to __init__. Also put it in alphabetical order.
PiperOrigin-RevId: 163842410
---
Commit db0e1c6c8 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Don't force inlining of functions marked no-inline
PiperOrigin-RevId: 163842238
---
Commit 18718b6f7 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Misc grappler improvements:
* Avoid copying optimized graphs since that takes time.
* Avoid optimizing a pruned graph, since it's already been pruned there isn't much to gain
PiperOrigin-RevId: 163842122
---
Commit 90abbf684 authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use OP_REQUIRES instead of an assertion to validate op arguments
PiperOrigin-RevId: 163841759
---
Commit 203c3f5fd authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Infer unknown shapes for functions in C++
As we are implementing function support through C API, the new code path
runs shape inference of Operations representing functions, but we don't
yet support shape inference for functions.
Before this change, adding a function NodeDef would result in error.
This change pairs all functions with a shape inference function that
sets all output shapes to unknown.
PiperOrigin-RevId: 163830793
---
Commit 3cc5fc088 authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Implement MirrorPad op.
Addresses #11890
* Improves the shape inference error message for concatenate.
* Adds a helper to Literal that gets an integral value converted to int64.
PiperOrigin-RevId: 163829437
---
Commit c7b674fa2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
flatten_up_to should return values, not keys
PiperOrigin-RevId: 163809688
---
Commit 6209b4b52 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Minor refactoring the TF_Tensor <-> PyArray conversion functions.
PiperOrigin-RevId: 163802822
---
Commit 618f913bb authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Speed up topological sort by avoiding copies. The speedup is about 10-20%.
PiperOrigin-RevId: 163800134
---
Commit 6446895aa authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove and replace broken giflib download link
PiperOrigin-RevId: 163796393
---
Commit 9d5613088 authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:CPU] Atomically enqueue tuple buffers for outfeed.
Previously it was possible that a distinct thread could hop in between the
buffer enqueues done by a tuple-outfeeding thread. This changes the sequence to
enqueue all the tuple buffers as an atomic unit.
PiperOrigin-RevId: 163781804
---
Commit b882d686f authored by Bjarke Hammersholt Roune<broune@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow cost estimates to differ per backend and include the estimates into the HLO profile. Add a summary table for what categories have the most opportunity for optimization left in them.
PiperOrigin-RevId: 163780413
---
Commit 14b736761 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Pass stats_collector when using SymbolicGradientOp.
PiperOrigin-RevId: 163773897
---
Commit 5202a5b6c authored by RJ Ryan<rjryan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix some typos in StreamExecutor's cuFFT support.
PiperOrigin-RevId: 163771825
---
Commit edac90c7c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add support to generate pprof results to tf.profiler
A fun thing is, it can not only profile time,memory
but also parameters, etc.
PiperOrigin-RevId: 163767517
---
Commit 78a90370e authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Refactor CreateModuleConfig to share code between multiple call-sites.
Previously Service, LocalService and CompileOnlyService had their own code to
create a new HloModuleConfig, with much repetition (and some ommissions);
collect all these uses in a single method.
PiperOrigin-RevId: 163766869
---
Commit 6150611ae authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change.
PiperOrigin-RevId: 163765028
---
Commit 9e7875437 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add the option of including Shape, ShapeN, Size and Rank in the standard TensorFlow constant propagation pass, when the inputs to those Ops have sufficiently known static shape.
PiperOrigin-RevId: 163762750
---
Commit 8b1365bb4 authored by Yuefeng Zhou<yuefengz@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Infer output shape for restore op.
PiperOrigin-RevId: 163762216
---
Commit 2e2a8536d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update WorkerCacheLogger::RecordDataTransfer to not modify the details if provided.
PiperOrigin-RevId: 163761089
---
Commit d03ba54f7 authored by Yangzihao Wang<yangzihao@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use BlasGemv() when autotune is not set.
PiperOrigin-RevId: 163754092
---
Commit 724884f1c authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Show layouts in HLO graph dump.
Layouts are displayed as e.g. "f32[100,200]{0,1}". But constants used
to be displayed as e.g. "f32[]{42}". To avoid ambiguity, constants are
now displayed as e.g. "42 (f32[])".
Also gets rid of the xla_hlo_graph_layout flag, which is no longer
necessary since we're now showing layouts unconditionally.
PiperOrigin-RevId: 163753637
---
Commit 84c2757a6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Move Grappler test GraphDefs to separate files
PiperOrigin-RevId: 163751948
---
Commit 0b3a25d68 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make TF_RESOURCE memory handling consistent with other types.
TF_Tensor's are backed by a contiguous memory region for all
but TF_RESOURCE tensors. The memory management of TF_RESOURCE
tensors required keeping a backing tensorflow::ResourceHandle*
object alive for the lifetime of the TF_Tensor object.
This change removes that discrepancy, making the memory backing
TF_RESOURCE tensors self-contained. This simplifies use of TF_RESOURCE
tensors in the C API (as users of the C API do not need to worry about
a tensorflow::ResourceHandle object and its lifetime). In doing so, this
moves a string memory copy from the TF_Tensor <-> Numpy conversion
to the C API from the Python session helper.
Unfortunately, I couldn't figure out how to add a simple unittest in
c_api_test.cc. The more comprehensive tensorflow/python/kernel_tests/session_ops_test.py
does cover the changed lines though.
Additionally, avoid an unnecessary copy when creating TF_STRING or TF_RESOURCE
tensors (as eigen alignment is not a requirement for them).
PiperOrigin-RevId: 163751880
---
Commit 1333e7745 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow one tensor to be the input to the estimator.
PiperOrigin-RevId: 163747076
---
Commit 104f349e9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update Conv2DShape function to handle filters that have data NCHW_VECT_C layout.
PiperOrigin-RevId: 163746769
---
Commit efb7fb8e5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use XLA_VLOG_LINES() in literal_test_util to avoid truncation of large tensors.
PiperOrigin-RevId: 163745522
---
Commit 043505a09 authored by Suharsh Sivakumar<suharshs@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
MasterSession should throw error if use_per_session_threads or session_inter_op_thread_pool is set.
PiperOrigin-RevId: 163743936
---
Commit 6ba02f0e9 authored by Artem Belevich<tra@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Added HasAllocationAt() helper function.
PiperOrigin-RevId: 163742985
---
Commit 18304683e authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Pin tensorflow to tensorflow-tensorboard 0.1.x
This change will be cherry-picked into the 1.3.0 release.
PiperOrigin-RevId: 163742463
---
Commit 3445dd0ed authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make 'import tensorflow' go faster
It now takes about 400ms rather than 800ms, if the file system cache is warm.
Most of the latency was due to parsing text_format OpList protocol buffers in
our generated sources. We now use a binary representation, while preserving the
text proto as a comment for readability.
Note: This change does not improve the latency of dereferencing tf.contrib,
which takes about 340ms.
PiperOrigin-RevId: 163739355
---
Commit c215c55d5 authored by Neal Wu<wun@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add missing py_binary for mnist_deep.py
PiperOrigin-RevId: 163737503
---
Commit b663c9899 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make non-iterable input to `stratified_sample` produce better error message.
PiperOrigin-RevId: 163735979
---
Commit 122750a87 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[SE] Make ExecutorCache thread-safe, change ExecutorCache::Insert to ExecutorCache::GetOrCreate. Add support for creating Executors for different device ordinals in parallel.
[XLA] Create Executors in parallel.
PiperOrigin-RevId: 163734988
---
Commit 7ebed6678 authored by Frank Chen<frankchn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add __init__.py to the contrib/cluster_resolver directory so that the Cluster Resolver classes within this are visible to open source TensorFlow users.
PiperOrigin-RevId: 163733781
---
Commit 21faf19d0 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Upgrade pip version to 9.0.1; Prettier format of log text
* Upgrade pip version used in virtualenv created by the test-on-install to latest (9.0.1).
* Highlight step titles of pip builds with bold font.
PiperOrigin-RevId: 163732825
---
Commit 5887cc10e authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] In LiteralUtil::StridedConfig: choose the larger dimension between the
source and destination shapes' minor-most dimension index.
PiperOrigin-RevId: 163732014
---
Commit f9c644693 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Disable sanitizers for depthwise conv test to fix test flakiness.
PiperOrigin-RevId: 163727765
---
Commit 6263539a1 authored by Allen Lavoie<allenl@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Grappler memory optimization: allow inputs to gradients with non-standard names to be recomputed
Includes Python tests for name-scoped gradients.
PiperOrigin-RevId: 163720208
---
Commit 4ac195669 authored by Benoit Steiner<benoitsteiner@users.noreply.github.com>
Committed by GitHub<noreply@github.com>:
Branch 163695881 (#11913)
* Prevent ctc_loss op from segfaulting when given empty batch.
PiperOrigin-RevId: 163663460
* New "SavedModel: Practical Uses" and "SavedModel: Architecture" documents.
PiperOrigin-RevId: 163669809
* Minor cleanup
PiperOrigin-RevId: 163685423
* Add regression variance over individual trees to TensorForest inference.
PiperOrigin-RevId: 163695881
---
Commit b876065af authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
graph_to_function_def gets its own file
PiperOrigin-RevId: 163709410
---
Commit 29550762b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixes unit tests for inverse hyperbolic functions that were failing because numeric gradients were computed too close to a branch cut (for complex arguments) or singularity (for real arguments) where the function is not differentiable (See, e.g., http://mathworld.wolfram.com/BranchCut.html). This change moves the test points away from the branch cut/singularity.
Improves precision of double precision numerical gradients by using a smaller step size delta (the optimal for symmetric difference approximation with functions computed with O(epsilon) error is epsilon^(1/3), so for double64 it is ~1e-5).
PiperOrigin-RevId: 163706297
---
Commit 99b190a1f authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Add implementation of depthwise convolution.
This implementation expands the depthwise convolution kernels into a regular convolution kernel, which may not scale to large feature depths.
PiperOrigin-RevId: 163705408
---
Commit f6f07b027 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow kernel unit tests to run on GPU
PiperOrigin-RevId: 163705027
---
Commit 4ec29c5d9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Avoid direct access to Node::def() where some other method works.
PiperOrigin-RevId: 163704839
---
Commit 153be4d26 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Stats tracking (#11523)
* Adds stat tracking to the SYCL allocator
The SYCLAllocator will now find the max allocation size on construction,
and keep track of the allocation stats, as given in AllocationStats.
* [OpenCL] Adds buffer size tracking to SYCL allocator (#114)
The SYCL buffers underlying tensors already keep track of their sizes,
so we can easily provide this tracking information for debugging
purposes.
---
Commit 8d642672f authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Disabling gmm_test.py on Windows builds as it's flaky on GPU nightly builds.
---
Commit 1560c55d2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add regression variance over individual trees to TensorForest inference.
PiperOrigin-RevId: 163695881
---
Commit 15e928d51 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Minor cleanup
PiperOrigin-RevId: 163685423
---
Commit f9c758719 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
New "SavedModel: Practical Uses" and "SavedModel: Architecture" documents.
PiperOrigin-RevId: 163669809
---
Commit f19bb3beb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Prevent ctc_loss op from segfaulting when given empty batch.
PiperOrigin-RevId: 163663460
---
Commit 454fe936c authored by Taehoon Lee<taehoonlee@snu.ac.kr>
Committed by Taehoon Lee<taehoonlee@snu.ac.kr>:
Fix typos
---
Commit e17650b69 authored by Frank Chen<frankchn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
This adds the cluster_resolver module to contrib/__init__.py so that it is actually visible to open source TensorFlow users.
PiperOrigin-RevId: 163636676
---
Commit 926c0f6ee authored by ??<awsomekde@gmail.com>
Committed by GitHub<noreply@github.com>:
fix minor typo
---
Commit 00d3126a3 authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change const nodes to variables in the test, so that they are not optimized
away by the grappler constant folding pass.
PiperOrigin-RevId: 163602405
---
Commit 1c7c9c716 authored by Aditya Dhulipala<aditya.d@hotmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Minor typo correction (#11874)
---
Commit f91a3546e authored by Sergii Khomenko<x-sam@brainscode.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix a minor typo (#11873)
---
Commit adf5d1bc0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 163510186
PiperOrigin-RevId: 163902859
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END_PUBLIC
I dropped the following commit because it doesn't compile.
I will follow up with Andrew to fix it or revert it.
Commit 003deb88b authored by osdamv<osdamv@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Refactor and implementation of the camera API 1, it fixes #8736 (#10771)
List of commits in this CL:
---
Commit 446450369 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use identity of param variable in cudnn_rnn.RNNParamsSaveable instead of parameter
variable directly. The RNNParamsSaveable is usually used in a graph which also
has a saver for the cudnn param variable itself, if the same op is used for
both, fails with a two savers for same op error.
PiperOrigin-RevId: 163431826
---
Commit d629a8316 authored by RJ Ryan<rjryan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Increase bound on tf.contrib.signal.inverse_stft gradient error to avoid flakiness on macOS.
PiperOrigin-RevId: 163426631
---
Commit 253bcbb71 authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Use HloEvaluator for convolution in reference_util.
Also Speed up HloEvaluator's HandleConvolution in non-opt build, by moving calls
to HloInstruction::shape() out of the inner loop.
PiperOrigin-RevId: 163416183
---
Commit 569a00e68 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update API to traffic in unique_ptrs rather than owning raw pointers
PiperOrigin-RevId: 163414320
---
Commit 31a77bc77 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Java: Update release to 1.3.0-rc1
PiperOrigin-RevId: 163413736
---
Commit 1ebbf4325 authored by Jonathan Hseu<vomjom@vomjom.net>
Committed by GitHub<noreply@github.com>:
Add missing grpc dependency (#11828)
---
Commit 905abb1f9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Test asserts should have `expected` first.
PiperOrigin-RevId: 163409348
---
Commit d5cc143e2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Increase timeout to deflake the test.
PiperOrigin-RevId: 163407824
---
Commit ce1c7f02a authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Properly include logging header in xla_internal_test_main
PiperOrigin-RevId: 163405986
---
Commit 22241cd42 authored by joetoth<joetoth@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
External leveldb link changed (#11833)
table_format.txt was renamed to table_format.md
---
Commit 6b7314de4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Consolidating the code to fill the partition's function library
into one place. Previously, Partition() and MasterSession::RegisterPartition()
both fills in the partitioned graph's function library.
PiperOrigin-RevId: 163400992
---
Commit 28373cfe7 authored by Frank Chen<frankchn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds preliminary support for Cloud TPUs with Cluster Resolvers. This aims to allow users to have a better experienec when specifying one or multiple Cloud TPUs for their training jobs by allowing users to use names rather than IP addresses.
PiperOrigin-RevId: 163393443
---
Commit e5353c941 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Don't prune nodes that have reference inputs.
PiperOrigin-RevId: 163390862
---
Commit 226510834 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
C API: Groundwork for experimenting with TF_Tensor in device memory.
TF_Tensor objects are always backed by host memory. This commit lays
the groundwork for allowing TF_Tensor objects to refer to tensor data
on device (e.g., GPU) memory.
PiperOrigin-RevId: 163388079
---
Commit 613bf1c7c authored by Yuefeng Zhou<yuefengz@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
fix asan test failure in SingleMachineTest::ReleaseMemoryAfterDestruction.
PiperOrigin-RevId: 163386941
---
Commit 4653d37a3 authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Change type to appease GPU builds.
PiperOrigin-RevId: 163384927
---
Commit 9f131bd15 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change
PiperOrigin-RevId: 163378484
---
Commit 8bc0236c8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
PiperOrigin-RevId: 163366493
---
Commit 3b97f1f9b authored by Yangzihao Wang<yangzihao@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change to only run one round of matmul benchmark.
PiperOrigin-RevId: 163364341
---
Commit a4a3a3335 authored by Yun Peng<pcloudy@google.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix ./configure on Windows (#11775)
* Fix ./configure on Windows
* Disable bitwise_ops_test on Windows
---
Commit ae3119d16 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Small changes to op framework.
PiperOrigin-RevId: 163361071
---
Commit f40189d26 authored by qjivy<ji.qiu@spreadtrum.com>
Committed by Vijay Vasudevan<vrv@google.com>:
PR again: Enable building label_image with jpeg/gif/png decoder for Android. (#11475)
* Enable building label_image with jpeg/gif/png decoder for Android.
Add dependency "android_tesnorflow_image_op" to label_image, which
is not overlapped with android_tensorflow_kernels.
* Running buildifier to reformat the BUILD files for
sanity check.
---
Commit 599165861 authored by KB Sriram<kbsriram@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add the Constant operator class (#11559)
Create a custom operator class to create constants in the Graph,
and introduce the Operator marker annotation to identify
operator classes.
Please see #7149 for the master tracking issue.
---
Commit 86ca3506f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Further BUILD cleanup
PiperOrigin-RevId: 163360750
---
Commit 376bb063b authored by Pete Warden<petewarden@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Look inside functions to see which node types are used.
PiperOrigin-RevId: 163360375
---
Commit 2139e7d8b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.contrib.data] map expects a nested structure.
Fixes #11786
PiperOrigin-RevId: 163359134
---
Commit d09304fca authored by Jonathan Hseu<vomjom@vomjom.net>
Committed by Vijay Vasudevan<vrv@google.com>:
Upgrade gRPC (#11768)
* BUILD rule modifications
* More build fixes
* Code changes
* More code fixes
* Working tests
* CMake build
* Fix pprof
* Fix header includes
* CMake fix test
* Bazel clean
* Fix verbs
* More verbs fixes
* bazel clean for XLA
* Windows build fix test
* Add openssl/rand.h
* New cmake build command
* --config Release
---
Commit 3cd828474 authored by David Norman<DavidNorman@users.noreply.github.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix error with default python path selection (#11814)
* Fix error with default python path selection
* Move setting of environment var outside if / else
---
Commit ddd8e21b7 authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Consolidate all similar main()s in tests into a single target.
PiperOrigin-RevId: 163354724
---
Commit a36bca25b authored by Tayo Oguntebi<tayo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove ShapeWithoutPadding() utility function, as it is no longer needed.
PiperOrigin-RevId: 163353430
---
Commit b26f9cd44 authored by David Norman<DavidNorman@users.noreply.github.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Ensure that the multi-instruction fuse can take shared inputs (#11748)
* Ensure that the multi-instruction fuse can take shared inputs
Note that the fuse action only works when the shared input / constant
appears after all of its consumers in the list of instructions.
* Add a comment describing the test
---
Commit 34cbf161d authored by Jiri Simsa<jsimsa@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update Dataset API documentation.
PiperOrigin-RevId: 163349457
---
Commit 2381ce5c3 authored by Abdullah Alrasheed<a.rasheed@tc-sa.com>
Committed by Vijay Vasudevan<vrv@google.com>:
DOC: Fix typo. (#11813)
you could could be I/O bottlenecked.
TO:
you could be I/O bottlenecked.
---
Commit e4a5c5356 authored by Toby Boyd<tobyboyd@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
["Variable", "VariableV2", "VarHandleOp"] is the default for ps_ops=None
PiperOrigin-RevId: 163344629
---
Commit 722f6f361 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix TensorForest's saveable object names so loading a savedmodel works.
PiperOrigin-RevId: 163332598
---
Commit cda80a785 authored by Eric Liu<ioeric@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tpu profiler] Dump HLO graphs in profile responses to the log directory.
PiperOrigin-RevId: 163318992
---
Commit cea9ef6f5 authored by horance<horance-liu@users.noreply.github.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Refactoring device name utils (#11797)
* remove duplicated code for full_name and legacy_name for DeviceNameUtils
* replace tabs
* Real->Device
---
Commit 1f7c0f917 authored by Kongsea<kongsea@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Refine docstrings (#11800)
---
Commit dd1f0cddd authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Supports lookup devices by fullname either in the canonical form or the
legacy form. This makes DeviceSet behaves the same as DeviceMgr's
FindDevice method.
PiperOrigin-RevId: 163300346
---
Commit 631a364cd authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add Reduce, DynamicSlice and DynamicSliceUpdate to HloEvaluator.
- Reduce is disabled explicitly for constant folding, as not all types of
embedded computation can be currently supported by the evaluator.
- Added support to evaluate HloModule to HloEvaluator.
- Minor signature change to Evaluate().
PiperOrigin-RevId: 163299238
---
Commit a52470172 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Sets the incarnation number even when the attribute is set.
PiperOrigin-RevId: 163299121
---
Commit a49fe0366 authored by Suharsh Sivakumar<suharshs@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove platform bridge for grpc_response_reader.
PiperOrigin-RevId: 163295986
---
Commit 4404aa7cb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add TODO comment explaining why the IsScalar check exists.
PiperOrigin-RevId: 163292777
---
Commit 43036ac16 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unnecessary break statements.
PiperOrigin-RevId: 163291947
---
Commit fd5de4690 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add regression test for a corner case using Reduce that currently fails with the GPU backend.
PiperOrigin-RevId: 163287986
---
Commit 32e198f2d authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Add tf.cross support.
See #11788
PiperOrigin-RevId: 163287731
---
Commit 88abddbc3 authored by Alan Yee<alyee@ucsd.edu>
Committed by Vijay Vasudevan<vrv@google.com>:
Update README.md (#11793)
Remove bad practices of sudo pip and install use safer pip install commands
---
Commit 9b30dc3a8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove final mentions of `get_shape` in docstring.
PiperOrigin-RevId: 163282839
---
Commit 423c1eea0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BREAKING CHANGE: Fix semantic error in how maybe_batch* handles sparse tensors.
PiperOrigin-RevId: 163276613
---
Commit 6028c071b authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Highlight incoming/outgoing edges on hover in HLO graphviz dumps, and other improvements.
Other improvements:
- Don't show tooltips for nodes and clusters. Previously we'd show a
tooltip containing a pointer value expressed as decimal. Not so
useful.
- Show tooltips on edges with the to/from node names.
- Fix bug wherein if we had
- a node at the "edge" of the graph (so its operands aren't included
unless they're referenced by another node),
- with all of its operands included in the graph save one or more
constants, and
- those constants weren't referenced by any nodes not at the edge of
the graph,
we would incorrectly draw the node as "grayed out", indicating that
one of its operands (namely, its constant operand) wasn't present in
the graph.
This is wrong because constants are inlined into their users, so they
should always count as "displayed" for the purposes of determining
whether a node is grayed out.
PiperOrigin-RevId: 163276108
---
Commit ce7a355bd authored by Joshua V. Dillon<jvdillon@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update contrib/distributions/estimator_test build dependency.
PiperOrigin-RevId: 163272464
---
Commit 1b8458a1c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Shorten docstring line.
PiperOrigin-RevId: 163269709
---
Commit 69e323cc6 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix comment ypo
PiperOrigin-RevId: 163266376
---
Commit 08790e73d authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Fix a bug in cloning outfeeds, carried the wrong shape.
PiperOrigin-RevId: 163265592
---
Commit 1bad826d6 authored by Yangzihao Wang<yangzihao@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rollback of GPU kernel implementation of transpose for tensors with one small dimension.
END_PUBLIC
BEGIN_PUBLIC
BEGIN_PUBLIC
Automated g4 rollback of changelist 162525519
PiperOrigin-RevId: 163490703
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END_PUBLIC
---
Commit fe5338177 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 161727345
---
Commit c65f69119 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Factor out DenseUpdate ops into dense_update_functor build dep.
Also add support for complex types.
PiperOrigin-RevId: 161726749
---
Commit 9a172989e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 161726324
---
Commit fd5530d6e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
adding bazel-toolchains repo to workspace. This repo will be necessary for remote execution (specifically for cross OS compilation)
PiperOrigin-RevId: 161719899
---
Commit 71c4ec8ed authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a mechanism for switching between multiple iterators by feeding a handle.
With this change, you can do the following:
1. Fetch a string handle for any iterator, by evaluating the result of
`Iterator.string_handle()`.
2. Define an `Iterator` object based on a `tf.string` placeholder handle.
3. Feed the placeholder using an evaluated string handle to use a particular
iterator in a particular step.
Concretely, this allows you to define two iterators for a training dataset and
a test dataset, and choose which one to use on a per-run basis:
```python
train_iterator = tf.contrib.data.Dataset(...).make_one_shot_iterator()
train_iterator_handle = sess.run(train_iterator.string_handle())
test_iterator = tf.contrib.data.Dataset(...).make_one_shot_iterator()
test_iterator_handle = sess.run(test_iterator.string_handle())
handle = tf.placeholder(tf.string, shape=[])
iterator = tf.contrib.data.Iterator.from_string_handle(
handle, train_iterator.output_types)
next_element = iterator.get_next()
loss = f(next_element)
train_loss = sess.run(loss, feed_dict={handle: train_iterator_handle})
test_loss = sess.run(loss, feed_dict={handle: test_iterator_handle})
```
PiperOrigin-RevId: 161719836
---
Commit 6d6dda807 authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Fix an issue where plugin/Executor backend is used by default when TF
is built from source with XLA support. See Github issue #11122.
The priority of the executor backend is set to be higher than the default (50)
and CPUs (<100), and is therefore selected as the default when tf.device is not
explicitly specified.
PiperOrigin-RevId: 161717173
---
Commit 6b28eb084 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rename HloLocation to HloPosition, to avoid ambiguity with MemoryLocation.
PiperOrigin-RevId: 161716528
---
Commit 8e7f57371 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Expose tf.contrib.nn.rank_sampled_softmax_loss.
PiperOrigin-RevId: 161716450
---
Commit e424d209a authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Use a more numerically accurate formulation of ResourceApplyRMSProp.
PiperOrigin-RevId: 161706120
---
Commit 45a58d378 authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Introduce Python-only extensions to the C API
Implements an incomplete version of Operation._add_control_input()
using a new extension to make sure the plumbing works.
This also adds header guards to c_api_internal.h, which were missing. For some reason the missing guards caused problems in the cmake build even though there doesn't appear to be any #include cycles.
PiperOrigin-RevId: 161705859
---
Commit 4f5433634 authored by Jonathan Hseu<jhseu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rename TpuEstimator to TPUEstimator and TpuConfig to TPUConfig to follow PEP8
naming conventions.
PiperOrigin-RevId: 161704561
---
Commit 38180d7bb authored by Yun Peng<pcloudy@google.com>
Committed by gunan<gunan@google.com>:
Disable nn_test on Windows (#11445)
---
Commit e1de7a1b0 authored by Yun Peng<pcloudy@google.com>
Committed by gunan<gunan@google.com>:
Windows Bazel Build: Build TensorFlow with wrapper-less CROSSTOOL (#11454)
---
Commit c9d03a568 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add tf.contrib.nn.rank_sampled_softmax_loss, a variant of tf.nn.sampled_softmax_loss that has been shown to improve rank loss. Paper: https://arxiv.org/abs/1707.03073
PiperOrigin-RevId: 161702455
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Commit 9aa0dcbf2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add shape check for MakeQuantileSummariesOp.
PiperOrigin-RevId: 161698801
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Commit 9c4da4a24 authored by vhasanov<KyotoSunshine@users.noreply.github.com>
Committed by Frank Chen<frankchn@gmail.com>:
Deleted unnecessary repetition of the same text. (#11459)
The same text was repeated two times. I deleted the repetition.
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Commit d1e3cadda authored by DimanNe<dimanne@gmail.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
Fix linking options issued by bazel in oorder to make gradients register (#11449)
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Commit 8605f7ab8 authored by Taehoon Lee<me@taehoonlee.com>
Committed by Frank Chen<frankchn@gmail.com>:
Fix typos (#11444)
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Commit 7c1fe9068 authored by Karl Lessard<karllessard@users.noreply.github.com>
Committed by Frank Chen<frankchn@gmail.com>:
[Java] Add base classes and utilities for operation wrappers. (#11188)
* Add base classes and utilities for operation wrappers.
* Rename Input interface to Operand
* Introduce changes after code review
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Commit 2195db6d8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unused flag: xla_hlo_graph_for_compute_constant
PiperOrigin-RevId: 161686867
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Commit a72fc31bc authored by Martin Wicke<martin.wicke@gmail.com>
Committed by Martin Wicke<martin.wicke@gmail.com>:
Remove tabs. Unassign contrib/framework.
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Commit 6e74bd65a authored by Martin Wicke<martin.wicke@gmail.com>
Committed by Martin Wicke<martin.wicke@gmail.com>:
Add CODEOWNERS
Added what we know about contrib mainly, and some well-separated components.
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Commit de546d066 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BUILD cleanup in tensorflow/compiler/...
PiperOrigin-RevId: 161679855
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Commit 576c7b1ec authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 161218103
PiperOrigin-RevId: 161868747
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END_PUBLIC
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Commit d0f53f77f authored by Penghao Cen<scorpiocph@gmail.com>
Committed by Shanqing Cai<cais@google.com>:
Minor fix typo (#11323)
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Commit 02fcf564e authored by Chris Song<sjhshy@gmail.com>
Committed by Chris Song<sjhshy@gmail.com>:
Fix misspells.
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Commit 764c9b6b4 authored by Louis Tiao<ltiao@users.noreply.github.com>
Committed by GitHub<noreply@github.com>:
Fixed typo in docstring
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Commit f8cd1283e authored by Shanqing Cai<cais@google.com>
Committed by Shanqing Cai<cais@google.com>:
Chaser
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Commit 01383b946 authored by Shanqing Cai<cais@google.com>
Committed by Shanqing Cai<cais@google.com>:
Adapt TensorFlowTestCase.setUp() to new reset_default_graph() semantics
Avoid calling reset_default_graph() directly to prevent exceptions in
cases where test methods error out from within nested graph contexts,
which can leave _default_graph_stack non-empty in certain Python
versions.
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Commit 0ffc37890 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Removing second declaration of functions.
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Commit f9c9cacb0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Refactor ElementalIrEmitter's slice index finding code into
IrArray::Index::SourceIndexOfSlice().
PiperOrigin-RevId: 161140653
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Commit ba297aec9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 161138258
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Commit 68d666737 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixes a reentrant lock issue with tensors using ndarray memory which uses tensor memory.
PiperOrigin-RevId: 161137788
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Commit a2ee8bca3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add support for int8 x int8 -> int32 matrix multiplication via cublasGemmEx to stream_executor.
PiperOrigin-RevId: 161137741
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Commit 755fa7b50 authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Block generate_test, and docs generating from running in python3.
- Doc generation is currently unsupported in python3
- These both end in errors in python 3.5.1+
PiperOrigin-RevId: 161137467
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Commit 97cbcac45 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Fix failure in functionalize_control_flow rewrite for Enter nodes that are unused. Make sure we ignore such nodes without producing an error.
PiperOrigin-RevId: 161136545
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Commit dabcb60bc authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add reasonable error messages to Builder::Build for bad parameter numbers.
PiperOrigin-RevId: 161136262
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Commit 0cbd249e8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add complex tensors support to `matrix_determinant`.
PiperOrigin-RevId: 161132422
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Commit 335f1f14d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Extend static shape inference for SparseTensors with dense_shapes constructed using slicing.
PiperOrigin-RevId: 161132391
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Commit 53604916e authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixed the missing labels test in TPUEstimator.
PiperOrigin-RevId: 161131282
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Commit 9f57dc8dd authored by Bruno Rosa<bruno.rosa@eldorado.org.br>
Committed by Bruno Rosa<bruno.rosa@eldorado.org.br>:
Use mcpu instead of march for ppc64le
march is not support by gcc on ppc64le
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Commit 7d5c74a9c authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Move duplicate detection logic from Graph to FunctionLibraryDefinition
Turns out this is more useful, since there are many function libraries
that don't belong to a graph. This will be used in a future
change. Note that this maintains the current behavior of Graph.
In addition, updates FunctionDefsEqual() to handle unset attr entries
(I ran into this when using this in said future change).
PiperOrigin-RevId: 161126628
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Commit 2caec3af1 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Disable more timeseries py tests failing in OSS PIP GPU builds
PiperOrigin-RevId: 161124799
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Commit 0b5cce367 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Get TopK op working on GPU again. Extend using cub's radix sort.
1. Undo rollback of Andreas Kirsch's initial implementation.
2. Use cub segmented radix sort if Andreas' heap-based impl
for large k and small num_cols (thresholds of k=100, n=1000
determined empirically).
3. Use cub segmented radix sort if k == num_cols (this case is always faster).
4. Added benchmarks.
Benchmarks show that the GPU implementation is up to 3x slower for small k but
can be 10x faster for large num_cols and k.
Benchmarks:
Benchmark: m_128_n_10_k_5_use_gpu_False wall_time: 0.000166 s Throughput: 0.0077 GB/s
Benchmark: m_128_n_10_k_5_use_gpu_True wall_time: 0.000796 s Throughput: 0.00161 GB/s
Benchmark: m_128_n_10_k_9_use_gpu_False wall_time: 0.00017 s Throughput: 0.00751 GB/s
Benchmark: m_128_n_10_k_9_use_gpu_True wall_time: 0.000796 s Throughput: 0.00161 GB/s
Benchmark: m_128_n_10_k_10_use_gpu_False wall_time: 0.00017 s Throughput: 0.00753 GB/s
Benchmark: m_128_n_10_k_10_use_gpu_True wall_time: 0.000775 s Throughput: 0.00165 GB/s
Benchmark: m_128_n_100_k_1_use_gpu_False wall_time: 0.000155 s Throughput: 0.0826 GB/s
Benchmark: m_128_n_100_k_1_use_gpu_True wall_time: 0.000796 s Throughput: 0.0161 GB/s
Benchmark: m_128_n_100_k_50_use_gpu_False wall_time: 0.000247 s Throughput: 0.0519 GB/s
Benchmark: m_128_n_100_k_50_use_gpu_True wall_time: 0.0008 s Throughput: 0.016 GB/s
Benchmark: m_128_n_100_k_99_use_gpu_False wall_time: 0.000261 s Throughput: 0.049 GB/s
Benchmark: m_128_n_100_k_99_use_gpu_True wall_time: 0.000794 s Throughput: 0.0161 GB/s
Benchmark: m_128_n_100_k_100_use_gpu_False wall_time: 0.000239 s Throughput: 0.0536 GB/s
Benchmark: m_128_n_100_k_100_use_gpu_True wall_time: 0.000777 s Throughput: 0.0165 GB/s
Benchmark: m_128_n_1000_k_1_use_gpu_False wall_time: 0.000324 s Throughput: 0.395 GB/s
Benchmark: m_128_n_1000_k_1_use_gpu_True wall_time: 0.000916 s Throughput: 0.14 GB/s
Benchmark: m_128_n_1000_k_10_use_gpu_False wall_time: 0.00042 s Throughput: 0.305 GB/s
Benchmark: m_128_n_1000_k_10_use_gpu_True wall_time: 0.000902 s Throughput: 0.142 GB/s
Benchmark: m_128_n_1000_k_500_use_gpu_False wall_time: 0.0011 s Throughput: 0.116 GB/s
Benchmark: m_128_n_1000_k_500_use_gpu_True wall_time: 0.00097 s Throughput: 0.132 GB/s
Benchmark: m_128_n_1000_k_990_use_gpu_False wall_time: 0.00133 s Throughput: 0.0962 GB/s
Benchmark: m_128_n_1000_k_990_use_gpu_True wall_time: 0.000993 s Throughput: 0.129 GB/s
Benchmark: m_128_n_1000_k_1000_use_gpu_False wall_time: 0.00102 s Throughput: 0.126 GB/s
Benchmark: m_128_n_1000_k_1000_use_gpu_True wall_time: 0.000964 s Throughput: 0.133 GB/s
Benchmark: m_128_n_10000_k_10_use_gpu_False wall_time: 0.002 s Throughput: 0.64 GB/s
Benchmark: m_128_n_10000_k_10_use_gpu_True wall_time: 0.00288 s Throughput: 0.445 GB/s
Benchmark: m_128_n_10000_k_100_use_gpu_False wall_time: 0.00233 s Throughput: 0.549 GB/s
Benchmark: m_128_n_10000_k_100_use_gpu_True wall_time: 0.00325 s Throughput: 0.394 GB/s
Benchmark: m_128_n_10000_k_5000_use_gpu_False wall_time: 0.0127 s Throughput: 0.101 GB/s
Benchmark: m_128_n_10000_k_5000_use_gpu_True wall_time: 0.00381 s Throughput: 0.336 GB/s
Benchmark: m_128_n_10000_k_9900_use_gpu_False wall_time: 0.015 s Throughput: 0.0853 GB/s
Benchmark: m_128_n_10000_k_9900_use_gpu_True wall_time: 0.00438 s Throughput: 0.292 GB/s
Benchmark: m_128_n_10000_k_10000_use_gpu_False wall_time: 0.0104 s Throughput: 0.123 GB/s
Benchmark: m_128_n_10000_k_10000_use_gpu_True wall_time: 0.00427 s Throughput: 0.3 GB/s
Benchmark: m_128_n_100000_k_100_use_gpu_False wall_time: 0.0148 s Throughput: 0.865 GB/s
Benchmark: m_128_n_100000_k_100_use_gpu_True wall_time: 0.0262 s Throughput: 0.488 GB/s
Benchmark: m_128_n_100000_k_1000_use_gpu_False wall_time: 0.0201 s Throughput: 0.636 GB/s
Benchmark: m_128_n_100000_k_1000_use_gpu_True wall_time: 0.0263 s Throughput: 0.486 GB/s
Benchmark: m_128_n_100000_k_50000_use_gpu_False wall_time: 0.214 s Throughput: 0.0599 GB/s
Benchmark: m_128_n_100000_k_50000_use_gpu_True wall_time: 0.0322 s Throughput: 0.398 GB/s
Benchmark: m_128_n_100000_k_99000_use_gpu_False wall_time: 0.262 s Throughput: 0.0489 GB/s
Benchmark: m_128_n_100000_k_99000_use_gpu_True wall_time: 0.0377 s Throughput: 0.34 GB/s
Benchmark: m_128_n_100000_k_100000_use_gpu_False wall_time: 0.118 s Throughput: 0.108 GB/s
Benchmark: m_128_n_100000_k_100000_use_gpu_True wall_time: 0.0365 s Throughput: 0.351 GB/s
END_PUBLIC
BEGIN_PUBLIC
BEGIN_PUBLIC
Automated g4 rollback of changelist 157169178
PiperOrigin-RevId: 161476569
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PiperOrigin-RevId: 160344052
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Josh Gordon
Gunhan Gulsoy
Santosh Kumar
Clayne Robison
TensorFlower Gardener
Michael Case
melvinljy96
David
ted chang
Billy Lamberta
Akshay Modi
Yifei Feng
Jacques Pienaar
Shanqing Cai
Sourabh Bajaj
Raghuraman Krishnamoorthi
Patrick Nguyen
Benoit Steiner
Frank Chen
Martin Wicke
Jonathan Hseu
Andrew Harp
Vijay Vasudevan