import tensorflow as tf
x = tf.placeholder(tf.string)
y = tf.placeholder(tf.int32)
z = tf.placeholder(tf.float32)
with tf.Session() as sess:
    output1 = sess.run(x, feed_dict={x: 'Test String', y: 123, z: 45.67})
    output2 = sess.run(y, feed_dict={x: 'Test String', y: 123, z: 45.67})
    output3 = sess.run(z, feed_dict={x: 'Test String', y: 123, z: 45.67})
    print(output1)
    print(output2)
    print(output3)

48982552fe37aaf481d7f27586cda98bc1474110
<mask token>

<mask token>
with tf.Session() as sess:
    output1 = sess.run(x, feed_dict={x: 'Test String', y: 123, z: 45.67})
    output2 = sess.run(y, feed_dict={x: 'Test String', y: 123, z: 45.67})
    output3 = sess.run(z, feed_dict={x: 'Test String', y: 123, z: 45.67})
    print(output1)
    print(output2)
    print(output3)

<mask token>
x = tf.placeholder(tf.string)
y = tf.placeholder(tf.int32)
z = tf.placeholder(tf.float32)
with tf.Session() as sess:
    output1 = sess.run(x, feed_dict={x: 'Test String', y: 123, z: 45.67})
    output2 = sess.run(y, feed_dict={x: 'Test String', y: 123, z: 45.67})
    output3 = sess.run(z, feed_dict={x: 'Test String', y: 123, z: 45.67})
    print(output1)
    print(output2)
    print(output3)

import tensorflow as tf
x = tf.placeholder(tf.string)
y = tf.placeholder(tf.int32)
z = tf.placeholder(tf.float32)
with tf.Session() as sess:
    output1 = sess.run(x, feed_dict={x: 'Test String', y: 123, z: 45.67})
    output2 = sess.run(y, feed_dict={x: 'Test String', y: 123, z: 45.67})
    output3 = sess.run(z, feed_dict={x: 'Test String', y: 123, z: 45.67})
    print(output1)
    print(output2)
    print(output3)
