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In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
| Product | Vendor Advisory | Solution File | Added | Published |
|---|---|---|---|---|
| Suse | — | Upgrade tensorflow2-lite-develUpgrade libtensorflow2-gnu-hpcUpgrade tensorflow2-liteUpgrade libtensorflow_cc2-gnu-hpcUpgrade libtensorflow2-gnu-openmpi2-hpcUpgrade libtensorflow_cc2-gnu-openmpi2-hpcUpgrade tensorflow2_2_1_2-gnu-hpc-docUpgrade tensorflow2Upgrade tensorflow2_2_1_2-gnu-openmpi2-hpc-develUpgrade tensorflow2-docUpgrade tensorflow2_2_1_2-gnu-openmpi2-hpc-docUpgrade tensorflow2-gnu-openmpi2-hpcUpgrade libtensorflow_framework2-gnu-hpcUpgrade tensorflow2_2_1_2-gnu-openmpi2-hpcUpgrade tensorflow2-gnu-hpcUpgrade libtensorflow2Upgrade tensorflow2-develUpgrade tensorflow2_2_1_2-gnu-hpc-develUpgrade tensorflow2_2_1_2-gnu-hpcUpgrade libtensorflow_cc2Upgrade libtensorflow_framework2-gnu-openmpi2-hpcUpgrade libtensorflow_framework2 | Jun 11, 2021 | Sep 25, 2020 |
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