In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
| Product | Vendor Advisory | Solution File | Added | Published |
|---|---|---|---|---|
| Arch Linux | — | Upgrade to the latest version of Arch Linux | Jul 11, 2025 | Dec 10, 2020 |
| Suse | — | Upgrade libtensorflow_framework2Upgrade bazel-skylib1.0.3-sourceUpgrade tensorflow2_2_6_0-gnu-openmpi2-hpc-develUpgrade libiomp5Upgrade libtensorflow2-gnu-openmpi2-hpcUpgrade tensorflow2_2_6_0-gnu-openmpi2-hpcUpgrade libtensorflow_framework2-gnu-openmpi2-hpcUpgrade libtensorflow_framework2-gnu-hpcUpgrade tensorflow2-lite-develUpgrade tensorflow2_2_6_0-gnu-hpcUpgrade libtensorflow2-gnu-hpcUpgrade libtensorflow_cc2-gnu-openmpi2-hpcUpgrade tensorflow2-gnu-openmpi2-hpcUpgrade libtensorflow_cc2Upgrade libtensorflow_cc2-gnu-hpcUpgrade bazel3.7Upgrade tensorflow2Upgrade libtensorflow2Upgrade tensorflow2-docUpgrade libiomp5-gnu-openmpi2-hpcUpgrade tensorflow2_2_6_0-gnu-hpc-develUpgrade libiomp5-gnu-hpcUpgrade tensorflow2-develUpgrade tensorflow2-liteUpgrade tensorflow2_2_6_0-gnu-openmpi2-hpc-docUpgrade tensorflow2-gnu-hpcUpgrade tensorflow2_2_6_0-gnu-hpc-doc | Aug 9, 2024 | Dec 10, 2020 |
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