Memory exhaustion in Tensorflow

Impact The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory:pythonimport tensorflow as tfy = tf.rawops.ThreadPoolHandlenumthreads=0x60000000,displayname='tf'This is because the numthreads argument is only checked to not be negative...