TensorFlow vulnerable to null dereference on MLIR on empty function attributes

ImpactEig can be fed an incorrect Tout input, resulting in a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as np arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2, dtype=tf.float32arg1=tf.complex128arg2=Truearg3=''tf.rawops.Eiginput=arg...