TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.histogram_fixed_width
is vulnerable to a crash when the values array contain Not a Number
(NaN
) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If values
contains NaN
then the result of the division is still NaN
and the cast to int32
would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.