diff --git a/tensorflow/contrib/eager/python/examples/nmt_with_attention/nmt_with_attention.ipynb b/tensorflow/contrib/eager/python/examples/nmt_with_attention/nmt_with_attention.ipynb
index 1ab1b71bd05..0408ef01caa 100644
--- a/tensorflow/contrib/eager/python/examples/nmt_with_attention/nmt_with_attention.ipynb
+++ b/tensorflow/contrib/eager/python/examples/nmt_with_attention/nmt_with_attention.ipynb
@@ -552,10 +552,10 @@
         "        # passing the concatenated vector to the GRU\n",
         "        output, state = self.gru(x)\n",
         "        \n",
-        "        # output shape == (batch_size * max_length, hidden_size)\n",
+        "        # output shape == (batch_size * 1, hidden_size)\n",
         "        output = tf.reshape(output, (-1, output.shape[2]))\n",
         "        \n",
-        "        # output shape == (batch_size * max_length, vocab)\n",
+        "        # output shape == (batch_size * 1, vocab)\n",
         "        x = self.fc(output)\n",
         "        \n",
         "        return x, state, attention_weights\n",