Fix mnist_softmax tutorial to define the InteractiveSession and

use it instead of using .eval() and .run().
Change: 134184723

1 files changed, 4 insertions, 2 deletions

diff --git a/tensorflow/examples/tutorials/mnist/mnist_softmax.py b/tensorflow/examples/tutorials/mnist/mnist_softmax.py
index 8b469fd9d1..1791f97a06 100644
--- a/tensorflow/examples/tutorials/mnist/mnist_softmax.py
+++ b/tensorflow/examples/tutorials/mnist/mnist_softmax.py
@@ -56,16 +56,18 @@ def main(_):
   cross_entropy = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(y, y_))
   train_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy)
 
+  sess = tf.InteractiveSession()
   # Train
   tf.initialize_all_variables().run()
   for _ in range(1000):
     batch_xs, batch_ys = mnist.train.next_batch(100)
-    train_step.run({x: batch_xs, y_: batch_ys})
+    sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys})
 
   # Test trained model
   correct_prediction = tf.equal(tf.argmax(y, 1), tf.argmax(y_, 1))
   accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
-  print(accuracy.eval({x: mnist.test.images, y_: mnist.test.labels}))
+  print(sess.run(accuracy, feed_dict={x: mnist.test.images,
+                                      y_: mnist.test.labels}))
 
 if __name__ == '__main__':
   parser = argparse.ArgumentParser()