Real-world uses

Created for this library

1. 1.

   An ML engineer inspects tensor rank during debugging to confirm input batches have the expected number of dimensions.

2. 2.

   A research engineer logs tensor rank at each layer to identify shape mismatches early during model development.

3. 3.

   An ML platform team adds tensor-rank assertions in its production graphs to catch shape errors during model loading.