Overflow/crash in `tf.tile` when tiling tensor is large

Summary

TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Timeline

1. Nov 5, 2021, 7:55 PM UTCCVE published
2. Aug 4, 2024, 3:08 AM UTCRecord last updated

Affected versions

• tensorflow tensorflow

  From 2.6.0 · fixed in 2.6.1; From 2.5.0 · fixed in 2.5.2; fixed in 2.4.4

• tensorflowPyPI

  fixed in 2.4.4; From 2.5.0 · fixed in 2.5.2; From 2.6.0 · fixed in 2.6.1; From 2.7.0rc0 · fixed in 2.7.0

• tensorflow-gpuPyPI

  fixed in 2.4.4; From 2.5.0 · fixed in 2.5.2; From 2.6.0 · fixed in 2.6.1; From 2.7.0rc0 · fixed in 2.7.0

• tensorflow-cpuPyPI

  fixed in 2.4.4; From 2.5.0 · fixed in 2.5.2; From 2.6.0 · fixed in 2.6.1; From 2.7.0rc0 · fixed in 2.7.0

• tensorflowPyPI

  From 2.6.0 · fixed in 2.6.1

• tensorflowPyPI

  From 2.5.0 · fixed in 2.5.2

• tensorflowPyPI

  fixed in 2.4.4

• tensorflow-cpuPyPI

  From 2.6.0 · fixed in 2.6.1

• tensorflow-cpuPyPI

  From 2.5.0 · fixed in 2.5.2

• tensorflow-cpuPyPI

  fixed in 2.4.4

• tensorflow-gpuPyPI

  From 2.6.0 · fixed in 2.6.1

• tensorflow-gpuPyPI

  From 2.5.0 · fixed in 2.5.2

• tensorflow-gpuPyPI

  fixed in 2.4.4

References 3