message: Fix warning in text_classification_character_cnn.py
diff: @@ -74,7 +74,7 @@ def char_cnn_model(features, labels, mode):
  kernel_size=FILTER_SHAPE2,
  padding='VALID')
  # Max across each filter to get useful features for classification.
  - pool2 = tf.squeeze(tf.reduce_max(conv2, 1), squeeze_dims=[1])
  + pool2 = tf.squeeze(tf.reduce_max(conv2, 1), axis=[1])
  # Apply regular WX + B and classification.
  logits = tf.layers.dense(pool2, MAX_LABEL, activation=None)
  