TensorFlow is an open source platform for machine learning. The
RaggedRangOp function takes an argument
limits that is eventually used to construct a
TensorShape as an
limits is a very large float, it can overflow when converted to an
int64. This triggers an
InvalidArgument but also throws an abort signal that crashes the program. We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.