The trouble with that approach is that in CS, tensors are mostly used in machine learning, which is very math-dependent. So, you read in a textbook or a paper t

The trouble with that approach is that in CS, tensors are mostly used in machine learning, which is very math-dependent. So, you read in a textbook or a paper that something can be done elegantly by using some linear algebra operation, or some transformation on a tensor, and are delighted, because your library says to be tensor-based, but, then, when you try to code it, whoops; you meant you had tensor support, but all you've got is a multidimensional array memory layout...