CVE-2020-26270: In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length

CVE-2020-26270 is a vulnerability in TensorFlow where LSTM/GRU models (types of neural network layers used for processing sequences) crash when they receive input with zero length on NVIDIA GPU systems, causing a denial of service (making the system unavailable). This happens because the system fails input validation (checking whether data is acceptable before processing it).