| f8347ceebbad0e06552633fcdf8e63f52246ba62 |
24-Jan-2018 |
Sanjoy Das <sanjoy@google.com> |
Remove THIRD_PARTY_ from #include guards
They don't make sense in the open source repository.
PiperOrigin-RevId: 183140889
rad_testutil.h
|
| 71896cc7e5bd3d1b8b5bb615eac7bebf86fa998c |
04-Jan-2018 |
Raghuraman Krishnamoorthi <raghuramank@google.com> |
Merge changes from github.
PiperOrigin-RevId: 180746153
ath_grad.cc
ath_grad_test.cc
|
| 040b4cbce7084b8340e075af4797f81359c2bbf4 |
02-Jan-2018 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Remove using directives. Test appertaining to ops have been moved into namespace tensorflow::ops; all other tests now use explicit using-declarations.
Some tests are now using unnamed namespaces more aggressively to make as many names internal as possible.
PiperOrigin-RevId: 180564422
rray_grad_test.cc
ata_flow_grad_test.cc
rad_testutil.cc
ath_grad_test.cc
n_grad_test.cc
|
| 20765b3e1ae3b718699592c98aa9805cb874b6d1 |
29-Dec-2017 |
Patrick Nguyen <drpng@google.com> |
Merge changes from github.
PiperOrigin-RevId: 180301735
ath_grad.cc
ath_grad_test.cc
|
| e4532d20973c4c00854492362665317551661c18 |
22-Dec-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Merge changes from github.
PiperOrigin-RevId: 179953488
ath_grad.cc
ath_grad_test.cc
|
| fe8406149feec453250905965a14285465cd2063 |
07-Dec-2017 |
Shanqing Cai <cais@google.com> |
Merge changes from github.
PiperOrigin-RevId: 178185697
n_grad.cc
n_grad_test.cc
|
| 355e25ebcab64e833dfc987638c3e6c79d838266 |
25-Oct-2017 |
Benoit Steiner <bsteiner@google.com> |
Merge changes from github.
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
ath_grad.cc
ath_grad_test.cc
|
| 376147cd71d1a240dad428c3ff82ca4ea5f4e88e |
05-Oct-2017 |
RJ Ryan <rjryan@google.com> |
Save an unnecessary logical_not in the maximum/minimum gradient.
PiperOrigin-RevId: 171167415
ath_grad.cc
|
| 7766611a1939842316997214bc911a80fcee4697 |
22-Sep-2017 |
Suharsh Sivakumar <suharshs@google.com> |
Fix flakiness issues in c++ nn gradient tests.
Changes:
- Tolerance was too strict for L2LossGrad. Reducing tolerance to 1e-3 resolved the issue.
- Numeric gradient computation perturbation changed the value of the max value in MaxPool and MaxPoolV2 if two values were too close together (thanks Chad!). Resolved this by ensuring that the tests only compute one window on the entire input. Then I ensure that the max value of the random value is max by 1e-2, so that a perturbation can't replace it.
- Also some minor formatting fixes in nn_grad.cc
PiperOrigin-RevId: 169732110
n_grad.cc
n_grad_test.cc
|
| abf90c9e0669039055bc1b0ae656e58d0a031d49 |
22-Sep-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Increase tolerance on nn_grad_test.
PiperOrigin-RevId: 169645639
n_grad_test.cc
|
| a373b1f74215e44920bf9362a51bece530edf88a |
16-Sep-2017 |
Patrick Nguyen <drpng@google.com> |
Merge changes from github.
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
---
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
---
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
---
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
---
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
---
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
---
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
---
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
ath_grad.cc
ath_grad_test.cc
n_grad.cc
n_grad_test.cc
|
| c54693a648730c9223e1aa0a118322f6f0ae8b17 |
14-Sep-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Use the numeric gradient checker for matrix gradient tests.
- Port MathGradTest to use ComputeGradientError.
- Add complex type support for MatMulGrad and BatchMatMulGrad.
PiperOrigin-RevId: 168638169
ath_grad.cc
ath_grad_test.cc
|
| 8570d4948a2c44cd6646cdc38f4fc17a915f6081 |
14-Sep-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Use the numeric gradient checker for unary math gradient tests.
- Port CWiseUnaryGradTest to use ComputeGradientError.
- Move test values away from any poles or discontinuities in the
gradient to reduce numeric estimation errors.
- Consolidate CWiseUnaryComplexGradTest and CWiseUnaryGradTest.
PiperOrigin-RevId: 168619288
ath_grad_test.cc
|
| e6b011763a60d239972c8c6c0f36536ab6f885a3 |
12-Sep-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Extend c++ gradient_checker to complex types.
PiperOrigin-RevId: 168392949
rray_grad_test.cc
ata_flow_grad_test.cc
ath_grad.cc
ath_grad_test.cc
n_grad_test.cc
|
| d27db78cd0168f10b308f7508c11dfaa3c6707e9 |
08-Sep-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Implement c++ gradients for data_flow operators.
Closes #12856
PiperOrigin-RevId: 167949574
ata_flow_grad.cc
ata_flow_grad_test.cc
|
| d57572e996dce24abf4d9cf6ea04e7104b3d743b |
03-Sep-2017 |
Martin Wicke <wicke@google.com> |
Merge changes from github.
PiperOrigin-RevId: 167401527
n_grad.cc
n_grad_test.cc
|
| a4fe92514fab8d75d6acf5f593cf7e7c8cea919f |
02-Sep-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Implement reduce_min and reduce_max gradients.
Closes #12715
PiperOrigin-RevId: 167335900
ath_grad.cc
ath_grad_test.cc
|
| 2fa844c88047afcc519ec60a1f74f1cbc03e99cc |
29-Aug-2017 |
Gunhan Gulsoy <gunan@google.com> |
Double the tolerance in nn_grad_test to avoid flakes.
PiperOrigin-RevId: 166798376
n_grad_test.cc
|
| 5a1d6d9dac79b46f055462ee52125753524d9f6e |
29-Aug-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Implement Sum and Mean math gradients.
PiperOrigin-RevId: 166771825
ath_grad.cc
ath_grad_test.cc
|
| 008910f1122d115a6d7430bfcc63cf4296c7467d |
25-Aug-2017 |
Jonathan Hseu <jhseu@google.com> |
Merge changes from github.
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
---
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
---
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
---
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
ath_grad_test.cc
n_grad.cc
n_grad_test.cc
|
| 8624ecc9e827a40f9b514ff6b8ed925390ca79cc |
22-Aug-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
When available, use built-in gradient operators for math gradients.
PiperOrigin-RevId: 166103467
ath_grad.cc
|
| 6e3e7d18f42cb4237ce6dbe2ffd0f9f158c36daf |
21-Aug-2017 |
Andrew Harp <andrewharp@google.com> |
Merge changes from github.
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
ath_grad.cc
ath_grad_test.cc
|
| 16001fc526831c7a7f1a3814f517b01008df4c4c |
21-Aug-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Implement gradients for point-wise Minimum and Maximum ops.
PiperOrigin-RevId: 165936734
ath_grad.cc
ath_grad_test.cc
|
| 2a792a35111dbd55757fd592a9913b5048b55468 |
15-Aug-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Implement gradients for simple binary operators.
PiperOrigin-RevId: 165236032
ath_grad.cc
ath_grad_test.cc
|
| 7925579f5b7b487c662bd529031cb8396dd77258 |
14-Aug-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Implement c++ gradient for the AddN operator.
PiperOrigin-RevId: 165207133
ath_grad.cc
ath_grad_test.cc
|
| a1fba7f5ac3de39b106af36c3737ea854f09e9ac |
28-Jul-2017 |
Vijay Vasudevan <vrv@google.com> |
Merge changes from github.
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
n_grad.cc
n_grad_test.cc
|
| 90d6421c5e0898fb840197d9533c2f8ba1a7c651 |
11-Jul-2017 |
Shanqing Cai <cais@google.com> |
Merge changes from github.
END_PUBLIC
---
Commit d0f53f77f authored by Penghao Cen<scorpiocph@gmail.com>
Committed by Shanqing Cai<cais@google.com>:
Minor fix typo (#11323)
---
Commit 02fcf564e authored by Chris Song<sjhshy@gmail.com>
Committed by Chris Song<sjhshy@gmail.com>:
Fix misspells.
---
Commit 764c9b6b4 authored by Louis Tiao<ltiao@users.noreply.github.com>
Committed by GitHub<noreply@github.com>:
Fixed typo in docstring
---
Commit f8cd1283e authored by Shanqing Cai<cais@google.com>
Committed by Shanqing Cai<cais@google.com>:
Chaser
---
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.
---
Commit 0ffc37890 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Removing second declaration of functions.
---
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
---
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
---
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
---
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
---
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
---
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
---
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
---
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
---
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
---
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
---
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
---
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
---
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
---
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
ath_grad.cc
ath_grad_test.cc
|
| a6773e98e97956b7adf3aa51eb3548261f51d6f7 |
11-Jul-2017 |
RJ Ryan <rjryan@google.com> |
Add a PadV2 op with support for specifying a pad value.
Added a `constant_values` keyword argument to the tf.pad Python API for compatibility with numpy.pad. For now, only scalar values are supported. To efficiently support specifying a `[D, 2]` tensor for `constant_values` to pick per-dimension pre/post constant values will require adding Eigen and XLA support first.
PiperOrigin-RevId: 161460091
rray_grad.cc
|
| 0a797c2825d450ad6692911f99c3fe4699a3dc49 |
29-Jun-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Adds QuantizeAndDequantizeV3 op, which allows using a tensor for the number of quantization bits.
PiperOrigin-RevId: 160515361
rray_grad.cc
|
| 50b999a8336d19400ab75aea66fe46eca2f5fe0b |
28-Jun-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Merge changes from github.
PiperOrigin-RevId: 160344052
ath_grad.cc
ath_grad_test.cc
n_grad.cc
n_grad_test.cc
|
| 63ac86ae19933bc9386233cb899d653f388f1bef |
28-Jun-2017 |
Eugene Brevdo <ebrevdo@google.com> |
Fix bugs in ScatterNd and add ScatterNdNonAliasingAdd.
tf.scatter_nd_non_aliasing_add acts similarly to tf.scatter_nd_add but
works on non-ref objects (i.e., Tensors -- not Variables). This means
it has a gradient with respect to the primary input as well as the
updates. It does its best to avoid making extra copies of the input.
PiperOrigin-RevId: 160339328
rray_grad.cc
rray_grad_test.cc
|
| 1fa73c53ab95693f070ce70e6be0c644d83c163a |
26-Jun-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Automated g4 rollback of changelist 160182040
PiperOrigin-RevId: 160190881
ath_grad.cc
ath_grad_test.cc
n_grad.cc
n_grad_test.cc
|
| f3c89936e97c99dead1ca3310246691c1b221adf |
26-Jun-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Merge changes from github.
END_PUBLIC
Note: this CL will break builds. cl/159887762 to follow to fix all the breakages.
---
Commit 2336cdf7f authored by Maxwell Paul Brickner<mbrickn@users.noreply.github.com>
Committed by gunan<gunan@google.com>:
Updated link to use HTTPS (#10998)
Howdy!
I just updated a link to use https instead of http.
Thanks!
---
Commit ad0892df1 authored by Luke Iwanski<luke@codeplay.com>
Committed by Luke Iwanski<luke@codeplay.com>:
[OpenCL] Fixes run_metadata_test for SYCL
This test is designed to test CUDA specific behavior
---
Commit 6b37a0725 authored by Todd Wang<toddwang@gmail.com>
Committed by GitHub<noreply@github.com>:
Update comments
---
Commit 1699d904a authored by John Lawson<john@codeplay.com>
Committed by Luke Iwanski<luke@codeplay.com>:
[OpenCL] Fixes CUDA specific test run on SYCL (#56)
The testBadParentValuesOnGPU should only be run on CUDA devices, as the
test checks for particular CUDA behaviour. We don't actually provide a
SYCL kernel for GatherTree and so it's not a problem that the tests
don't target SYCL.
---
Commit 3c1946230 authored by myPrecious<Moriadry@users.noreply.github.com>
Committed by Shanqing Cai<cais@google.com>:
Java API to get the size of specified input list of operations. (#10865)
* Java API to get the size of specified input list of operations
* remove unnecessary explain to avoid bring a new term to users.
---
Commit e911c7480 authored by Luke Iwanski<luke@codeplay.com>
Committed by Luke Iwanski<luke@codeplay.com>:
[OpenCL] REGISTER -> REGISTER6
---
Commit fbf6c4cec authored by superryanguo<superryanguo@gmail.com>
Committed by superryanguo<superryanguo@gmail.com>:
Simplify the Quickstart section with the weblink is better
---
Commit 72e2918cc authored by Taehoon Lee<taehoonlee@snu.ac.kr>
Committed by Taehoon Lee<taehoonlee@snu.ac.kr>:
Fix typos
---
Commit 90c4406b7 authored by Rishabh Patel<patelrishabh@users.noreply.github.com>
Committed by GitHub<noreply@github.com>:
Correct the learning rate as per the code snippet
---
Commit 03da61134 authored by Todd Wang<toddwang@gmail.com>
Committed by GitHub<noreply@github.com>:
Update ir_array.cc
---
Commit 2df6cd3ac authored by Todd Wang<toddwang@gmail.com>
Committed by GitHub<noreply@github.com>:
Another try
---
Commit af0cbace1 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Transpose to go through Eigen (#10321)
---
Commit fc7361081 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Registers RGBToHSV and HSVToRGB (#91) (#10848)
* [OpenCL] Added RGBToHSV and HSVToRGB
* Aligning '\'
---
Commit 832894ef8 authored by Luke Iwanski<luke@codeplay.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
[OpenCL] Registers AdjustContrastv2 (#10949)
* [OpenCL] Registers AdjustContrastv2 (#93)
* [OpenCL] Extended adjust_contrast_op_benchmark_test for OpenCL (#96)
* [OpenCL] Extended adjust_contrast_op_benchmark_test for OpenCL
* simplified to #ifndef
* Changed to "#if GOOGLE_CUDA"
* Update adjust_contrast_op_benchmark_test.cc
* Added comments
---
Commit cb4c2f8d1 authored by Yifei Feng<yifeif@google.com>
Committed by Yifei Feng<yifeif@google.com>:
Make TransferBufferToInFeed not virual so it compiles.
---
Commit e89f04d80 authored by Yifei Feng<yifeif@google.com>
Committed by Yifei Feng<yifeif@google.com>:
Fix calling Literal member functions.
---
Commit 15a8df724 authored by Yifei Feng<yifeif@google.com>
Committed by Yifei Feng<yifeif@google.com>:
Fix mac build
clone from meheff's change:
[XLA] Change return type of DeviceAssignment::Deserialize to fix build
breakage on mac.
The mac build had the following error:
error: incomplete type 'xla::DeviceAssignment' used in type trait
expression
This was due to a static method returning a StatusOr<DeviceAssignment>
inside of the definition of DeviceAssignment.
---
Commit a54d43fa4 authored by Yifei Feng<yifeif@google.com>
Committed by Yifei Feng<yifeif@google.com>:
Replace LiteralUtil to Literal in compiler/plugin/executor
---
Commit 88a6bb80c authored by Guenther Schmuelling<guschmue@microsoft.com>
Committed by Guenther Schmuelling<guschmue@microsoft.com>:
expand inline for debug builds to limit number of symbols
---
Commit 62fb49d31 authored by Yifei Feng<yifeif@google.com>
Committed by Yifei Feng<yifeif@google.com>:
Fix visibility error for contrib/remote_fused_graph/pylib/BUILD.
---
Commit 4c75252f2 authored by Mark Neumann<markn@allenai.org>
Committed by Mark Neumann<markn@allenai.org>:
fix initial test values to avoid numerical instability
---
Commit b58d98353 authored by sj6077<epik03sj@gmail.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
Fixes of AutoParallel bug (#10368)
* Fix the bug that auto_parallel could replicate variable snapshot name
* Use NodeName in grappler:utils instead of substr, convert variables->variable_def of grappler item
* remove variable_def from grappler item, exclude snapshot nodes from dont_replicate_nodes in auto_parallel
---
Commit a286b7db8 authored by Yifei Feng<yifeif@google.com>
Committed by Yifei Feng<yifeif@google.com>:
Make debug_test slice integer.
---
Commit 97fcfdfa6 authored by Toby Boyd<tobyboyd@google.com>
Committed by GitHub<noreply@github.com>:
Fixed path to seq2seq.py and minor formatting
---
Commit 63c1befb8 authored by Anish Shah<shah.anish07@gmail.com>
Committed by Anish Shah<shah.anish07@gmail.com>:
Improve docs for tf.nn.depthwise_conv2d_native
---
Commit 8d42202b2 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Fix mismatched delete in mkl_tfconv_op.cc
This fix fixes mismatched new[]-delete in mkl_tfconv_op.cc
(the file went through clang-format so there are some additional
changes)
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 26301bd55 authored by Danny Goodman<goodman.danny@gmail.com>
Committed by Danny Goodman<goodman.danny@gmail.com>:
fix error format
---
Commit b3f33ad46 authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make changes to prepare for the fused option of batch norm to be set to None (None means using fused batch norm if possible).
PiperOrigin-RevId: 159649743
---
Commit a4a469832 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add tests for select ops and while loops that produce tuples that contain predicates.
PiperOrigin-RevId: 159645900
---
Commit 980d3f2be authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use C API to implement Operation.name property
This name property is used in many existing tests including those that
already run with C API enabled (math_ops_test, framework_ops_test,
session_test, session_partial_run_test, math_ops_test_gpu, etc).
PiperOrigin-RevId: 159645767
---
Commit 26239c706 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Previously we didn't have an implementation of BatchNormInference and BatchNormTraining, which gives a linker error if anyone ever tries to call that. A dummy implementation is friendlier than a linker error.
PiperOrigin-RevId: 159645612
---
Commit f671c5caa authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 159570549
PiperOrigin-RevId: 160182040
ath_grad.cc
ath_grad_test.cc
n_grad.cc
n_grad_test.cc
|
| 73882f257ffb1bc9e1a828571c085d080b1d9266 |
17-May-2017 |
Geoffrey Irving <geoffreyi@google.com> |
Automated g4 rollback of changelist 156251356
PiperOrigin-RevId: 156315860
rray_grad.cc
ath_grad.cc
|
| 43db5c623f748b6f9704e9e9be5a5a11fa2a4c1a |
17-May-2017 |
Geoffrey Irving <geoffreyi@google.com> |
Automated g4 rollback of changelist 156244933
PiperOrigin-RevId: 156251356
rray_grad.cc
ath_grad.cc
|
| 749e5cc18381f7a5ec174673f76e20aead8529c6 |
17-May-2017 |
Geoffrey Irving <geoffreyi@google.com> |
Reduce direct references to NodeDef in favor of Node and AttrSlice
This is one step towards replacing in-memory use of NodeDef with a customized
NodeInfo class. There are still quite a few Node::def() references, but far fewer than before. Those remaining require more work, either because they are part of kernel registration (which is a bunch of functions), copy and modify the NodeDef, etc. Follow-on CLs will remove more.
RELNOTES: n/a
PiperOrigin-RevId: 156244933
rray_grad.cc
ath_grad.cc
|
| 74d0126d52b5227ff32d7aeba43144b4edb4be4e |
15-May-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Correct gradient calculation for some complex-valued functions.
Tensorflow expects the gradients for holomorphic functions to produce
the conjugate of their complex derivative. A short discussion is at
#3348
Correct existing math gradient implementations appropriately, and add
test cases for complex inputs.
PiperOrigin-RevId: 156102913
ath_grad.cc
ath_grad_test.cc
|
| 1d0b8c007b8bc7f77dd63c74f02d87185071f038 |
09-May-2017 |
Peter Hawkins <phawkins@google.com> |
Remove unnecessary copies of value parameters.
PiperOrigin-RevId: 155511618
ath_grad_test.cc
|
| 5254f59f253db3d314fc62a75a3443d7e8503c84 |
06-Mar-2017 |
Suharsh Sivakumar <suharshs@google.com> |
Add NoGradients for QuantizeAndDequantizeV2Op's input_min and input_max arguments.
Change: 149340183
rray_grad.cc
|
| 7e48bada5a6c5583ab6e9a103337780863af08cc |
01-Mar-2017 |
Jack Rae <jwrae@google.com> |
Improve error message reporting for check_numerics gradient.
At present the op message is only printed if the numeric check fails during
the op's 'forward' computation. If the check fails during the gradient, there is no
identifier on *which* op's gradient failed.
Change: 148866334
rray_grad.cc
|
| 79c3b47319669658e61d6fbec190215d21910d30 |
18-Feb-2017 |
Suharsh Sivakumar <suharshs@google.com> |
Instructions on contributing to C++ gradients.
Change: 147892613
EADME.md
|
| d3a41971ccc7c03e8b476a48dc8aa7fbb983431c |
16-Feb-2017 |
Suharsh Sivakumar <suharshs@google.com> |
Make input_min and input_max Inputs of QuantizeAndDequantize rather than attributes.
Change: 147653779
rray_grad.cc
|
| 4957f8a8de587ff12d367ead7d91479005487a08 |
02-Feb-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Update generated C++ API. This is a roll-forward past CLs that were
commented out plus some new overrides.
Change: 146330232
rray_grad.cc
rray_grad_test.cc
n_grad.cc
|
| 8fe32029f77b287a207c3bc3e0127fb35a3e23da |
01-Feb-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Add a mechanism for hiding, skipping, and modifying the generated op
functions for C++. A souped-up version of the hidden_ops mechanism in
Python, the intent is to use this for most or all of the client
languages, with a common list of changes to make in a common file and
per-language overrides.
Also:
* include the documentation for outputs in the generated comments
* several updates to C++ API to match Python
* fix C++ shape function for ConcatV2 now that we use it by default
* split op_gen_lib out of core:framework, since it is only used by
the op generators, and I don't want to add another proto to
mobile builds
Change: 146267344
rray_grad.cc
rray_grad_test.cc
|
| 45ef73f0b5677af8d8e3c7ad276070f5a728c079 |
27-Jan-2017 |
Suharsh Sivakumar <suharshs@google.com> |
C++ gradients: Add many more array op gradients.
Change: 145830135
rray_grad.cc
rray_grad_test.cc
|
| 4d69bcf7f2c734aa8c3326c3c469729c0805cfd5 |
18-Jan-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Migrate to new namespace for Input, Output, etc. in the C++ API.
Change: 144857401
rad_testutil.h
|
| a430a5e0c146ce927b2868bc94508c6df4cce950 |
18-Jan-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Automated rollback of change 144776821
Change: 144780716
rad_testutil.h
|
| 59f813b67613d81347703a854a3b1aab62be8a3c |
18-Jan-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Migrate to new namespace for Input, Output, etc. in the C++ API.
Change: 144776821
rad_testutil.h
|
| 7a0d788c2697af366c6814396ce07cfed7c4bd60 |
17-Jan-2017 |
Skye Wanderman-Milne <skyewm@google.com> |
Update C++ API comments to be more Doxygen friendly.
This patch:
- Updates // comments to ///. I manually reverted some comments that shouldn't be docs (e.g. TODOs), but may have missed some.
- Indents code blocks so they get formatted as such in the docs.
- Removes /* */ comments from example code since it messes up Doxygen.
- Puts a space between {{ and }} since it messes up devsite.
- Adds some // START_SKIP_DOXYGEN and // END_SKIP_DOXYGEN comments for functions that aren't part of the public API (incomplete)
This will likely require further small fixups, but this gets something to be generated.
Change: 144749351
rad_testutil.h
|
| 91b9c31f41833c2040cdd247378deb4b66707fc6 |
20-Dec-2016 |
Suharsh Sivakumar <suharshs@google.com> |
C++ grad: A couple Reverse* ops gradients.
Change: 142500394
rray_grad.cc
rray_grad_test.cc
|
| 6731e21360ac2fd2fa4999a12e87ae72acfcb2d2 |
16-Dec-2016 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Add Expm1 Op.
Change: 142198004
ath_grad.cc
ath_grad_test.cc
|
| 1cb96893a64f59b7265f9def9968f7bed1e57662 |
09-Dec-2016 |
Andrew Harp <andrewharp@google.com> |
Merge changes from github.
Additionally:
- change single quotes to double quotes to make path rewriting easier
- guard windows lib reference with PLATFORM_WINDOWS
- fixed failing kmeans test
Change: 141515942
n_grad_test.cc
|
| b2823a416f876bfbff3022d1b61e358525b40618 |
03-Dec-2016 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Add C++ gradient ops, for log1p.
Change: 140917655
ath_grad.cc
ath_grad_test.cc
|
| fb01ebb8c38b2d274f6fe9a7115b2362828a452e |
15-Nov-2016 |
Martin Wicke <wicke@google.com> |
Deprecate tf.inv in favor of tf.reciprocal.
Change: 139240711
ath_grad.cc
ath_grad_test.cc
|
| ccb22083570219884f871d30a7124d93c151ef70 |
10-Nov-2016 |
Suharsh Sivakumar <suharshs@google.com> |
C++ gradients: Add a few more c++ gradient functions.
MatrixBandPart, GatherNd, CheckNumerics, Reshape, ExpandDims, Squeeze, Transpose.
Change: 138712881
rray_grad.cc
rray_grad_test.cc
|
| 0c4e1d45d7f33cf4d19585265b085349909e3b36 |
08-Nov-2016 |
Suharsh Sivakumar <suharshs@google.com> |
Switch Pack and Unpack to use gradient checker.
This uncovered a silly bug during idx calculation in the gradient checker which is fixed in this CL.
Change: 138471470
rray_grad_test.cc
|
| 39f04d940e3624e17f8855ae6dd7c7bf55545b70 |
08-Nov-2016 |
Suharsh Sivakumar <suharshs@google.com> |
C++ gradient checker support multiple inputs and outputs.
Also added a few more array ops.
Change: 138456760
rray_grad.cc
rray_grad_test.cc
n_grad_test.cc
|
| 3b13cfdb8970fab86d5923d47791004eca92d4ff |
04-Nov-2016 |
Suharsh Sivakumar <suharshs@google.com> |
Small fix to C++ gradient checker.
Some ops forward the input tensor's buffer to the output. This was causing
an incorrect centered difference calculation.
Also added RefIdentity Op and converted IdentityGrad Test to use the gradient checker.
Change: 138207419
rray_grad.cc
rray_grad_test.cc
|
| 1a7c7144669657d90ce5339b1a48cee0f8f95439 |
03-Nov-2016 |
A. Unique TensorFlower <gardener@tensorflow.org> |
C++ Gradients: Adds gradient functions for some nn ops. Adds functionality to gradient checker to enable explicit initial values for some tensors.
Change: 138078095
n_grad.cc
n_grad_test.cc
|
| 2998b38a1b8c458d468eeb1ae23f7013dfaa1dea |
16-Sep-2016 |
A. Unique TensorFlower <gardener@tensorflow.org> |
C++ Gradients: Adds gradient functions (and tests) for component-wise unary ops.
Change: 133394757
ath_grad.cc
ath_grad_test.cc
|
| bd548874a53c5f934e480991e9ca730b8d73657a |
09-Sep-2016 |
A. Unique TensorFlower <gardener@tensorflow.org> |
C++ Gradients:
*) Adds support for StopGradient.
*) Adds Identity gradient function.
Change: 132688186
rray_grad.cc
rray_grad_test.cc
ath_grad.cc
|
| a70623971587c96e450b12a8c16c166cfc040ec9 |
07-Sep-2016 |
A. Unique TensorFlower <gardener@tensorflow.org> |
C++ Gradients: Adds gradient function for BatchMatMul, cleans up unit tests.
Change: 132445367
ath_grad.cc
ath_grad_test.cc
|
| 2db9a1edc1695877b3f90181e74cfbd8b1a8cdc7 |
07-Sep-2016 |
A. Unique TensorFlower <gardener@tensorflow.org> |
C++ Gradients: Adds gradient functions and tests for Pack/Unpack, and takes care of multiple TODOS:
*) Adds support and unit test for returning dependent gradient outputs.
*) Adds support and unit test for stopping backprop at frontier of requested inputs.
*) Adds support and unit test for returning gradients for nodes with multiple outputs.
*) Moves common unit test code out into a testlib.
*) Moves common gradient-specific unit test code out into a separate testlib.
Change: 132434513
rray_grad.cc
rray_grad_test.cc
rad_testutil.cc
rad_testutil.h
ath_grad_test.cc
|
| 23441bf71dbd0a10bcace160165ce01bf6deac9a |
17-Aug-2016 |
A. Unique TensorFlower <gardener@tensorflow.org> |
C++ Gradients: Module to add gradients to a graph.
Adds a couple unit tests (more unit tests to come, once gradient functions for more ops are added).
Change: 130521199
ath_grad_test.cc
|
| 84391613c3a5572686df80ed4903e9fc38ad2576 |
01-Aug-2016 |
A. Unique TensorFlower <gardener@tensorflow.org> |
C++ Gradients: Port a couple of gradient functions to the new C++ graph building API.
Change: 129016020
ath_grad.cc
ath_grad_test.cc
|