| 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__) | |