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-rw-r--r--tensorflow/examples/tutorials/mnist/mnist.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/examples/tutorials/mnist/mnist.py b/tensorflow/examples/tutorials/mnist/mnist.py
index 4960a55a7c..e97a6c48ef 100644
--- a/tensorflow/examples/tutorials/mnist/mnist.py
+++ b/tensorflow/examples/tutorials/mnist/mnist.py
@@ -118,7 +118,7 @@ def training(loss, learning_rate):
train_op: The Op for training.
"""
# Add a scalar summary for the snapshot loss.
- tf.scalar_summary(loss.op.name, loss)
+ tf.summary.scalar('loss', loss)
# Create the gradient descent optimizer with the given learning rate.
optimizer = tf.train.GradientDescentOptimizer(learning_rate)
# Create a variable to track the global step.