TensorFlow: Upstream changes to git.

Changes:
- Doc type fixes.

Base CL: 107356208

configure

@@ -3,7 +3,7 @@
 ## Set up Cuda-related environment settings
 
 while [ "$TF_NEED_CUDA" == "" ]; do
-  read -p "Do you wish to bulid TensorFlow with GPU support? [y/n] " INPUT
+  read -p "Do you wish to build TensorFlow with GPU support? [y/n] " INPUT
   case $INPUT in
     [Yy]* ) echo -e "GPU support will be enabled for TensorFlow\n"; TF_NEED_CUDA=1;;
     [Nn]* ) echo -e "No GPU support will be enabled for TensorFlow\n"; TF_NEED_CUDA=0;;

tensorflow/g3doc/resources/index.md

@@ -6,7 +6,7 @@
 Additional details about the TensorFlow programming model and the underlying
 implementation can be found in out white paper:
 
-* [TensorFlow: Large-scale machine learning on heterogeneous systems](http://www.tensorflow.org/whitepaper2015.pdf)
+* [TensorFlow: Large-scale machine learning on heterogeneous systems](http://download.tensorflow.org/paper/whitepaper2015.pdf)
 
 ### Citation <a class="md-anchor" id="AUTOGENERATED-citation"></a>
 

tensorflow/g3doc/tutorials/recurrent/index.md

@@ -179,14 +179,13 @@ bazel build -c opt tensorflow/models/rnn/ptb:ptb_word_lm
 And if you have a fast GPU, run the following:
 
 ```
-bazel build -c opt tensorflow --config=cuda \
-  tensorflow/models/rnn/ptb:ptb_word_lm
+bazel build -c opt --config=cuda tensorflow/models/rnn/ptb:ptb_word_lm
 ```
 
 Now we can run the model:
 
 ```
-bazel-bin/.../ptb_word_lm \
+bazel-bin/tensorflow/models/rnn/ptb/ptb_word_lm \
   --data_path=/tmp/simple-examples/data/ --alsologtostderr --model small
 ```