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-rw-r--r--tensorflow/examples/learn/text_classification_character_cnn.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/examples/learn/text_classification_character_cnn.py b/tensorflow/examples/learn/text_classification_character_cnn.py
index afda170e2a..b8506fa8a4 100644
--- a/tensorflow/examples/learn/text_classification_character_cnn.py
+++ b/tensorflow/examples/learn/text_classification_character_cnn.py
@@ -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)