import tensorflow as tf


def run():
    output = None
    logit_data = [2.0, 1.0, 0.1]
    logits = tf.placeholder(tf.float32)
    
    # TODO: Calculate the softmax of the logits
    # softmax =     
    
    softmax = tf.nn.softmax(logits)
    
    with tf.Session() as sess:
        # TODO: Feed in the logit data
        # output = sess.run(softmax,    )
        output = sess.run(softmax, feed_dict={logits: logit_data})

    return output

output = run()
print(output)
