TF Docs fix for 1.3

tensorflow/docs_src/extend/adding_an_op.md

@@ -155,7 +155,7 @@ REGISTER_KERNEL_BUILDER(Name("ZeroOut").Device(DEVICE_CPU), ZeroOutOp);
 ### Multi-threaded CPU kernels
 
 To write a multi-threaded CPU kernel, the Shard function in
-[`work_sharder.h`](https://www.tensorflow.org/code/tensorflow/core/framework/work_sharder.h)
+[`work_sharder.h`](https://www.tensorflow.org/code/tensorflow/core/util/work_sharder.h)
 can be used. This function shards a computation function across the
 threads configured to be used for intra-op threading (see
 intra_op_parallelism_threads in

tensorflow/docs_src/get_started/summaries_and_tensorboard.md

@@ -17,7 +17,7 @@ TensorBoard is fully configured, it looks like this:
 </div>
 
 This tutorial is intended to get you started with simple TensorBoard usage.
-There are other resources available as well! The [TensorBoard README](https://www.tensorflow.org/code/tensorflow/tensorboard/README.md)
+There are other resources available as well! The [TensorBoard's GitHub](https://github.com/tensorflow/tensorboard)
 has a lot more information on TensorBoard usage, including tips & tricks, and
 debugging information.
 
@@ -216,5 +216,4 @@ corner. Each tab represents a set of serialized data that can be visualized.
 For in depth information on how to use the *graph* tab to visualize your graph,
 see @{$graph_viz$TensorBoard: Graph Visualization}.
 
-For more usage information on TensorBoard in general, see the [TensorBoard
-README](https://www.tensorflow.org/code/tensorflow/tensorboard/README.md).
+For more usage information on TensorBoard in general, see the [TensorBoard's GitHub](https://github.com/tensorflow/tensorboard).

tensorflow/docs_src/tutorials/image_retraining.md

@@ -137,7 +137,7 @@ Once TensorBoard is running, navigate your web browser to `localhost:6006` to vi
 
 The script will log TensorBoard summaries to `/tmp/retrain_logs` by default. You can change the directory with the `--summaries_dir` flag.
 
-The [TensorBoard README](https://www.tensorflow.org/code/tensorflow/tensorboard/README.md) has a lot more information on TensorBoard usage, including tips & tricks, and debugging information.
+The [TensorBoard's GitHub](https://github.com/tensorflow/tensorboard) has a lot more information on TensorBoard usage, including tips & tricks, and debugging information.
 
 ## Using the Retrained Model
 
@@ -337,7 +337,7 @@ the (much larger) training set.
 
 By default the script uses a pretrained version of the Inception v3 model
 architecture. This is a good place to start because it provides high accuracy
-results, but if you intend to deploy your model on mobile devices or other 
+results, but if you intend to deploy your model on mobile devices or other
 resource-constrained environments you may want to trade off a little accuracy
 for much smaller file sizes or faster speeds. To help with that, the
 [retrain.py script](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py)

tensorflow/tools/ci_build/ci_sanity.sh

@@ -418,6 +418,10 @@ do_pip_smoke_test() {
     "The pip smoke test failed."
 }
 
+do_code_link_check() {
+  tensorflow/tools/ci_build/code_link_check.sh
+}
+
 do_check_load_py_test() {
   BUILD_CMD="bazel build //tensorflow/tools/pip_package:check_load_py_test"
   ${BUILD_CMD}
@@ -431,8 +435,8 @@ do_check_load_py_test() {
 }
 
 # Supply all sanity step commands and descriptions
-SANITY_STEPS=("do_pylint PYTHON2" "do_pylint PYTHON3" "do_buildifier" "do_bazel_nobuild" "do_pip_package_licenses_check" "do_lib_package_licenses_check" "do_java_package_licenses_check" "do_pip_smoke_test" "do_check_load_py_test")
-SANITY_STEPS_DESC=("Python 2 pylint" "Python 3 pylint" "buildifier check" "bazel nobuild" "pip: license check for external dependencies" "C library: license check for external dependencies" "Java Native Library: license check for external dependencies" "Pip Smoke Test: Checking py_test dependencies exist in pip package" "Check load py_test: Check that BUILD files with py_test target properly load py_test")
+SANITY_STEPS=("do_pylint PYTHON2" "do_pylint PYTHON3" "do_buildifier" "do_bazel_nobuild" "do_pip_package_licenses_check" "do_lib_package_licenses_check" "do_java_package_licenses_check" "do_pip_smoke_test" "do_check_load_py_test" "do_code_link_check")
+SANITY_STEPS_DESC=("Python 2 pylint" "Python 3 pylint" "buildifier check" "bazel nobuild" "pip: license check for external dependencies" "C library: license check for external dependencies" "Java Native Library: license check for external dependencies" "Pip Smoke Test: Checking py_test dependencies exist in pip package" "Check load py_test: Check that BUILD files with py_test target properly load py_test" "Code Link Check: Check there are no broken links")
 
 INCREMENTAL_FLAG=""
 

tensorflow/tools/ci_build/code_link_check.sh

@@ -0,0 +1,28 @@
+#!/usr/bin/env bash
+
+# please run this at root directory of tensorflow
+success=1
+
+for i in `grep -onI https://www.tensorflow.org/code/\[a-zA-Z0-9/._-\]\* -r tensorflow`
+do
+  filename=`echo $i|awk -F: '{print $1}'`
+  linenumber=`echo $i|awk -F: '{print $2}'`
+  target=`echo $i|awk -F: '{print $4}'|tail -c +27`
+
+  # skip files in tensorflow/models
+  if [[ $target == tensorflow_models/* ]] ; then
+    continue
+  fi
+
+  if [ ! -f $target ] && [ ! -d $target ]; then
+    success=0
+    echo Broken link $target at line $linenumber of file $filename
+  fi
+done
+
+if [ $success == 0 ]; then
+  echo Code link check fails.
+  exit 1
+fi
+
+echo Code link check success.