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fuzz/runner.py

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+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__)