import tensorflow as tf
with tf.Session() as sess:
    x = tf.placeholder(tf.int32, name = "Input")
    out = tf.abs(x, name = "Output")

    tf.saved_model.simple_save(sess, "abs", inputs={"input": x}, outputs={"abs": out})

92602d58bbbe51f7af0a721b428bfd2790e7aa6a
<mask token>

<mask token>
with tf.Session() as sess:
    x = tf.placeholder(tf.int32, name='Input')
    out = tf.abs(x, name='Output')
    tf.saved_model.simple_save(sess, 'abs', inputs={'input': x}, outputs={
        'abs': out})

import tensorflow as tf
with tf.Session() as sess:
    x = tf.placeholder(tf.int32, name='Input')
    out = tf.abs(x, name='Output')
    tf.saved_model.simple_save(sess, 'abs', inputs={'input': x}, outputs={
        'abs': out})

import tensorflow as tf
with tf.Session() as sess:
    x = tf.placeholder(tf.int32, name = "Input")
    out = tf.abs(x, name = "Output")

    tf.saved_model.simple_save(sess, "abs", inputs={"input": x}, outputs={"abs": out})
