import tensorflow as tf
import numpy as np
import sys
try:
    interp = tf.lite.Interpreter(model_path=sys.argv[1])
    interp.allocate_tensors()
    for d in interp.get_input_details():
        interp.set_tensor(d[index], np.zeros(d[shape], dtype=d[dtype]))
    interp.invoke()
    print(EXECUTED)
except Exception as e:
    print(type(e).__name__)