Improper Input Validation
TensorFlow is an open source platform for machine learning. An input
sparse_matrix that is not a matrix with a shape with rank 0 will trigger a
CHECK fail in
tf.raw_ops.SparseMatrixNNZ. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
All versions before 2.8.4, all versions starting from 2.9.0 before 2.9.3, all versions starting from 2.10.0 before 2.10.1
Upgrade to versions 2.8.4, 2.9.3, 2.10.1 or above.