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PYSEC-2026-3236 TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
Impact If the stride and window size are not positive for tf.rawops.AvgPoolGrad, it can give an FPE. python import tensorflow as tf import numpy as np @tf.functionjitcompile=True def test: y = tf.rawops.AvgPoolGradoriginputshape=1,0,0,0, grad=0.39117979, ksize=1,0,0,0, strides=1,0,0,0,...
7.5CVSS6.6AI score0.00391EPSS
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