Merge changes from github.

END_PUBLIC

---
Commit 1e1b3d902 authored by Pete Warden<pete@petewarden.com>
Committed by gunan<gunan@google.com>:
Changed output directory for Pi CI build to fix permissions problem with nightlies (#13257)

* Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change for Pi that's no longer needed

* Fixed Pi Zero OpenBLAS build problems and tidied up directories used

* More robust checks in Pi build script

* Changed output directory for Pi CI build to fix permissions problem

---
Commit fe3a2e65c authored by Yan Facai (???)<facai.yan@gmail.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
check invalid string type for dest_nodes in extract_sub_graph (#13057)

* BUG: check str type

* TST: add unit test

* CLN: remove list check

* CLN: use warning

* CLN: 2 indent

* CLN: raise TypeError if not list

* CLN: check string only

---
Commit 225ab7629 authored by Jean Wanka<jm.wanka@gmail.com>
Committed by Jean Wanka<jm.wanka@gmail.com>:
Fix polynomial decay with cycle for global step=0

For polynomial decay with cycle=True the learning rate at
step 0 becomes NaN, because in the process of calculating it we
devide by 0. This change should fix it, by setting the multiplier
for the decay steps to one for global_step=0.

---
Commit 286f57061 authored by Bjarke Hammersholt Roune<broune@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make Service::TransferToClient not attempt to manipulate the literal when the transfer failed, preventing a crash and allowing the caller to see the reason for the failed transfer.

PiperOrigin-RevId: 169770126

---
Commit e0501bc4d authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Shanqing Cai<cais@google.com>:
Fix GRUBlockCell parameter naming inconsistency (#13153)

* Fix GRUBlockCell parameter naming inconsistency

This fix tries to fix the issue in 13137 where
parameter `cell_size` is used instead of `num_units`.
This is inconsistent with other RNN cells.

This fix adds support of `num_units` while at the same
time maintains backward compatiblility for `cell_size`.

This fix fixes 13137.

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

* Add `@deprecated_args` for 'cell_size' in `GRUBlockCell`

This commit adds `@deprecated_args` for 'cell_size' in `GRUBlockCell`

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

* Address review comment

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

---
Commit 02a2eba05 authored by Pete Warden<pete@petewarden.com>
Committed by gunan<gunan@google.com>:
Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change that's no longer needed (#13251)

* Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change for Pi that's no longer needed

* Fixed Pi Zero OpenBLAS build problems and tidied up directories used

* More robust checks in Pi build script

---
Commit 8ef722253 authored by Sanjoy Das<sanjoy@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove a redundant setName.

The EmitComputation should have emitted a function with the right name, so use a
CHECK instead.

PiperOrigin-RevId: 169764856

---
Commit 1b94147dc authored by Neal Wu<wun@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix broken GitHub links in tensorflow and tensorflow_models resulting from The Great Models Move (a.k.a. the research subfolder)

PiperOrigin-RevId: 169763373

---
Commit b1ada5f0c authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix TensorBoard python -m invoke in docs

PiperOrigin-RevId: 169758752

---
Commit 2957cd894 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Local run option of estimator training.

PiperOrigin-RevId: 169756384

---
Commit 1dc2fe7ac authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 166264198

PiperOrigin-RevId: 169998124

1 files changed, 31 insertions, 26 deletions

diff --git a/tensorflow/contrib/fused_conv/kernels/fused_conv2d_bias_activation_op.cc b/tensorflow/contrib/fused_conv/kernels/fused_conv2d_bias_activation_op.cc
index 2d7407980f..9275d5a22b 100644
--- a/tensorflow/contrib/fused_conv/kernels/fused_conv2d_bias_activation_op.cc
+++ b/tensorflow/contrib/fused_conv/kernels/fused_conv2d_bias_activation_op.cc
@@ -493,37 +493,42 @@ void LaunchFusedConv2DBiasActivationOp<GPUDevice, T, BiasType, ScaleType>::
   dnn::AlgorithmConfig algorithm_config;
   if (cudnn_use_autotune && !AutoTuneConvBiasActivation::GetInstance()->Find(
                                 fused_conv_parameters, &algorithm_config)) {
-    std::vector<dnn::AlgorithmType> algorithms;
+    std::vector<dnn::AlgorithmDesc::Index> algorithms;
     CHECK(stream->parent()->GetConvolveAlgorithms(
         fused_conv_parameters.ShouldIncludeWinogradNonfusedAlgo<T>(),
         &algorithms));
     dnn::ProfileResult best_result;
     dnn::ProfileResult best_result_no_scratch;
-    for (auto profile_algorithm : algorithms) {
-      // TODO(zhengxq): profile each algorithm multiple times to better
-      // accuracy.
-      CudnnScratchAllocator scratch_allocator(ConvolveScratchSize, ctx);
-      dnn::ProfileResult profile_result;
-      bool cudnn_launch_status =
-          stream
-              ->ThenFusedConvolveWithAlgorithm(
-                  conv_input_desc, conv_input_ptr, conv_input_scale,
-                  filter_desc, filter_ptr, conv_desc, side_input_ptr,
-                  side_input_scale, bias_desc, bias_ptr,
-                  dnn::ActivationMode::kRelu, output_desc, &output_ptr,
-                  &scratch_allocator, dnn::AlgorithmConfig(profile_algorithm),
-                  &profile_result)
-              .ok();
-      if (cudnn_launch_status) {
-        if (profile_result.is_valid()) {
-          if (profile_result.elapsed_time_in_ms() <
-              best_result.elapsed_time_in_ms()) {
-            best_result = profile_result;
-          }
-          if (scratch_allocator.TotalByteSize() == 0 &&
-              profile_result.elapsed_time_in_ms() <
-                  best_result_no_scratch.elapsed_time_in_ms()) {
-            best_result_no_scratch = profile_result;
+    // TODO(benbarsdell): Ideally this should not attempt using tensor op math
+    // if it's not enabled.
+    for (bool use_tensor_ops : {false, true}) {
+      for (auto algo_index : algorithms) {
+        // TODO(zhengxq): profile each algorithm multiple times to better
+        // accuracy.
+        dnn::AlgorithmDesc profile_algorithm(algo_index, use_tensor_ops);
+        CudnnScratchAllocator scratch_allocator(ConvolveScratchSize, ctx);
+        dnn::ProfileResult profile_result;
+        bool cudnn_launch_status =
+            stream
+                ->ThenFusedConvolveWithAlgorithm(
+                    conv_input_desc, conv_input_ptr, conv_input_scale,
+                    filter_desc, filter_ptr, conv_desc, side_input_ptr,
+                    side_input_scale, bias_desc, bias_ptr,
+                    dnn::ActivationMode::kRelu, output_desc, &output_ptr,
+                    &scratch_allocator, dnn::AlgorithmConfig(profile_algorithm),
+                    &profile_result)
+                .ok();
+        if (cudnn_launch_status) {
+          if (profile_result.is_valid()) {
+            if (profile_result.elapsed_time_in_ms() <
+                best_result.elapsed_time_in_ms()) {
+              best_result = profile_result;
+            }
+            if (scratch_allocator.TotalByteSize() == 0 &&
+                profile_result.elapsed_time_in_ms() <
+                    best_result_no_scratch.elapsed_time_in_ms()) {
+              best_result_no_scratch = profile_result;
+            }
           }
         }
       }