This works, but I don’t know if it’s the preferred way in TF 1:
import tensorflow as tf
from tensorflow.keras import backend as K
tf.compat.v1.disable_eager_execution()

with tf.compat.v1.Session() as sess:
  example = tf.random.normal([4, 4, 2, 2], mean=1, stddev=4, seed = 1)
  print_example = tf.compat.v1.print(example)
  # Print absolute maximum value (shape: ())
  abs_max = K.max(example, axis=None)
  print_abs_max = tf.compat.v1.print(abs_max)
  sess.run([print_example, print_abs_max])