Segfault in tf.raw_ops.ImmutableConst

Summary

TensorFlow is an end-to-end open source platform for machine learning. Calling `tf.raw_ops.ImmutableConst`(https://www.tensorflow.org/api_docs/python/tf/raw_ops/ImmutableConst) with a `dtype` of `tf.resource` or `tf.variant` results in a segfault in the implementation as code assumes that the tensor contents are pure scalars. We have patched the issue in 4f663d4b8f0bec1b48da6fa091a7d29609980fa4 and will release TensorFlow 2.5.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. If using `tf.raw_ops.ImmutableConst` in code, you can prevent the segfault by inserting a filter for the `dtype` argument.

Timeline

1. May 14, 2021, 7:11 PM UTCCVE published
2. Aug 3, 2024, 10:11 PM UTCRecord last updated

Affected versions

• tensorflow tensorflow

  fixed in 2.1.4; From 2.2.0 · fixed in 2.2.3; From 2.3.0 · fixed in 2.3.3; From 2.4.0 · fixed in 2.4.2

• tensorflow-cpuPyPI

  fixed in 2.2.0rc0; From 2.2.0 · fixed in 2.3.0rc0; From 2.3.0 · fixed in 2.3.4; From 2.4.0 · fixed in 2.4.3

• tensorflowPyPI

  fixed in 2.1.4

• tensorflowPyPI

  From 2.2.0 · fixed in 2.2.3

• tensorflowPyPI

  From 2.3.0 · fixed in 2.3.3

• tensorflowPyPI

  From 2.4.0 · fixed in 2.4.2

• tensorflow-cpuPyPI

  fixed in 2.1.4

• tensorflow-cpuPyPI

  From 2.2.0 · fixed in 2.2.3

• tensorflow-cpuPyPI

  From 2.3.0 · fixed in 2.3.3

• tensorflow-cpuPyPI

  From 2.4.0 · fixed in 2.4.2

• tensorflow-gpuPyPI

  fixed in 2.1.4

• tensorflow-gpuPyPI

  From 2.2.0 · fixed in 2.2.3

• tensorflow-gpuPyPI

  From 2.3.0 · fixed in 2.3.3

• tensorflow-gpuPyPI

  From 2.4.0 · fixed in 2.4.2

• tensorflowPyPI

  fixed in 2.2.0rc0; From 2.2.0 · fixed in 2.3.0rc0; From 2.3.0 · fixed in 2.3.4; From 2.4.0 · fixed in 2.4.3

• tensorflow-gpuPyPI

  fixed in 2.2.0rc0; From 2.2.0 · fixed in 2.3.0rc0; From 2.3.0 · fixed in 2.3.4; From 2.4.0 · fixed in 2.4.3

References 2