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In [1]:

    
import tensorflow as tf


sess = tf.InteractiveSession()

tensor = tf.range(10)
print_op = tf.print(tensor)
with tf.control_dependencies([print_op]):
    out = tf.add(tensor, tensor)
    print(out.eval())

sess.close()









    



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