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

1 files changed, 7 insertions, 4 deletions

diff --git a/tensorflow/compiler/xla/service/gpu/pad_insertion.cc b/tensorflow/compiler/xla/service/gpu/pad_insertion.cc
index 4e130de311..b8c6162084 100644
--- a/tensorflow/compiler/xla/service/gpu/pad_insertion.cc
+++ b/tensorflow/compiler/xla/service/gpu/pad_insertion.cc
@@ -80,6 +80,7 @@ HloInstruction* MaybePaddedAndSlicedInput(
     std::vector<int64> start_indices(input->shape().dimensions_size(), 0);
     std::vector<int64> limit_indices(input->shape().dimensions().begin(),
                                      input->shape().dimensions().end());
+    std::vector<int64> strides(input->shape().dimensions_size(), 1);
     for (size_t i = 0; i < conv_dnums.spatial_dimensions().size(); ++i) {
       int64 dim = conv_dnums.spatial_dimensions(i);
       // If dimension "dim" has negative padding, increase the start index or
@@ -92,9 +93,9 @@ HloInstruction* MaybePaddedAndSlicedInput(
 
     input = computation->AddInstruction(HloInstruction::CreateSlice(
         ShapeInference::InferSliceShape(input->shape(), start_indices,
-                                        limit_indices)
+                                        limit_indices, strides)
             .ConsumeValueOrDie(),
-        input, start_indices, limit_indices));
+        input, start_indices, limit_indices, strides));
   }
 
   return input;
@@ -354,6 +355,8 @@ bool PadInsertion::CanonicalizeBackwardInputConvolution(
   std::vector<int64> limit_indices(
       new_backward_conv->shape().dimensions().begin(),
       new_backward_conv->shape().dimensions().end());
+  std::vector<int64> strides(new_backward_conv->shape().dimensions_size(),
+                             1LL);
   for (size_t i = 0; i < backward_conv->window().dimensions_size(); ++i) {
     int64 padding_low = backward_conv->window().dimensions(i).padding_low();
     int64 padding_high = backward_conv->window().dimensions(i).padding_high();
@@ -373,13 +376,13 @@ bool PadInsertion::CanonicalizeBackwardInputConvolution(
   // Replace the old backward convolution with the slice.
   CHECK(ShapeUtil::Compatible(
       ShapeInference::InferSliceShape(new_backward_conv->shape(), start_indices,
-                                      limit_indices)
+                                      limit_indices, strides)
           .ConsumeValueOrDie(),
       backward_conv->shape()));
   TF_CHECK_OK(computation->ReplaceWithNewInstruction(
       backward_conv,
       HloInstruction::CreateSlice(backward_conv->shape(), new_backward_conv,
-                                  start_indices, limit_indices)));
+                                  start_indices, limit_indices, strides)));
   return true;
 }