Merge changes from github.

PiperOrigin-RevId: 177526301

2 files changed, 8 insertions, 5 deletions

diff --git a/tensorflow/contrib/slim/README.md b/tensorflow/contrib/slim/README.md
index f7a85557ca..dc92ae0c85 100644
--- a/tensorflow/contrib/slim/README.md
+++ b/tensorflow/contrib/slim/README.md
@@ -441,7 +441,8 @@ module. Consider the simple case where we want to train the VGG network:
 
 ```python
 import tensorflow as tf
-vgg = tf.contrib.slim.nets.vgg
+import tensorflow.contrib.slim.nets as nets
+vgg = nets.vgg
 
 # Load the images and labels.
 images, labels = ...
@@ -559,9 +560,10 @@ examine the following sample of training the VGG network:
 
 ```python
 import tensorflow as tf
+import tensorflow.contrib.slim.nets as nets
 
 slim = tf.contrib.slim
-vgg = tf.contrib.slim.nets.vgg
+vgg = nets.vgg
 
 ...
 
@@ -809,9 +811,10 @@ Putting it all together:
 
 ```python
 import tensorflow as tf
+import tensorflow.contrib.slim.nets as nets
 
 slim = tf.contrib.slim
-vgg = tf.contrib.slim.nets.vgg
+vgg = nets.vgg
 
 
 # Load the data
diff --git a/tensorflow/contrib/slim/python/slim/evaluation.py b/tensorflow/contrib/slim/python/slim/evaluation.py
index cdb720b36b..3caf4e02da 100644
--- a/tensorflow/contrib/slim/python/slim/evaluation.py
+++ b/tensorflow/contrib/slim/python/slim/evaluation.py
@@ -34,7 +34,7 @@ the metrics and finally call the `evaluation` method:
       "mse": slim.metrics.mean_squared_error(predictions, labels),
   })
 
-  inital_op = tf.group(
+  initial_op = tf.group(
       tf.global_variables_initializer(),
       tf.local_variables_initializer())
 
@@ -42,7 +42,7 @@ the metrics and finally call the `evaluation` method:
     metric_values = slim.evaluation(
         sess,
         num_evals=1,
-        inital_op=initial_op,
+        initial_op=initial_op,
         eval_op=names_to_updates.values(),
         final_op=name_to_values.values())