Update cifar10.py

tutorials/image/cifar10/cifar10.py

@@ -286,7 +286,7 @@ def loss(logits, labels):
   # Calculate the average cross entropy loss across the batch.
   labels = tf.cast(labels, tf.int64)
   cross_entropy = tf.nn.sparse_softmax_cross_entropy_with_logits(
-      logits, labels, name='cross_entropy_per_example')
+      logits=logits, labels=labels, name='cross_entropy_per_example')
   cross_entropy_mean = tf.reduce_mean(cross_entropy, name='cross_entropy')
   tf.add_to_collection('losses', cross_entropy_mean)