code: def test_suggest_save_args_int_input(capsys, minimodel):
      with tf.Graph().as_default() as graph, tf.Session() as sess:
          image_t = tf.placeholder(
              tf.uint8, shape=(32, 32, 3), name="input"
          )
          input_t = tf.math.divide(
              image_t, tf.constant(255, dtype=tf.uint8), name="divide"
          )
          _ = minimodel(input_t)
          sess.run(tf.global_variables_initializer())
  
          # ask for suggested arguments
          inferred = Model.suggest_save_args()
          captured = capsys.readouterr().out  # captures stdout
          assert "DT_UINT8" in captured
          assert inferred["input_name"] == "divide"
  
imports: import pytest
  import tensorflow
  from lucid.modelzoo.vision_base import Model
  from lucid.modelzoo.vision_models import AlexNet, InceptionV1, InceptionV3_slim, ResnetV1_50_slim
label_desc: Use image node_id 2 for calling a global function with example usage: test_suggest_save_args_int_input(capsys, minimodel) without return types