1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/examples/learn/text_classification_character_cnn.py b/tensorflow/examples/learn/text_classification_character_cnn.py
index 143af4f664..0c96976146 100644
--- a/tensorflow/examples/learn/text_classification_character_cnn.py
+++ b/tensorflow/examples/learn/text_classification_character_cnn.py
@@ -49,7 +49,7 @@ def char_cnn_model(features, target):
   """Character level convolutional neural network model to predict classes."""
   target = tf.one_hot(target, 15, 1, 0)
   byte_list = tf.reshape(
-      tf.one_hot(features, 256, 1, 0), [-1, MAX_DOCUMENT_LENGTH, 256, 1])
+      tf.one_hot(features, 256), [-1, MAX_DOCUMENT_LENGTH, 256, 1])
   with tf.variable_scope('CNN_Layer1'):
     # Apply Convolution filtering on input sequence.
     conv1 = tf.contrib.layers.convolution2d(
@@ -73,7 +73,7 @@ def char_cnn_model(features, target):
 
   # Apply regular WX + B and classification.
   logits = tf.contrib.layers.fully_connected(pool2, 15, activation_fn=None)
-  loss = tf.contrib.losses.softmax_cross_entropy(logits, target)
+  loss = tf.losses.softmax_cross_entropy(target, logits)
 
   train_op = tf.contrib.layers.optimize_loss(
       loss,