Looks close but not quite.

I'm interested in what's described here:
https://stats.stackexchange.com/a/198395

Basically a dumb as bricks extension to matrices to higher dimensions with
a contraction along selectable axes, with no notion of co and
contravariance, and ability to have any number of elements in each
dimension, e.g. a (8,1,512) shaped tensor (or n-way-array) should be
possible.

>From what I've seen of tensors with indices are forced to be n-dimensional
cubes (along with having the co and contravariant limitations to
contractions).

On Tue, Apr 16, 2024 at 12:19 PM Matthias Koeppe <matthiaskoe...@gmail.com>
wrote:

> You might be looking for
> https://doc.sagemath.org/html/en/reference/tensor_free_modules/sage/tensor/modules/tensor_with_indices.html
>
> On Tuesday, April 9, 2024 at 6:59:27 AM UTC-7 Anton Todorov wrote:
>
>> Einsum:
>> https://numpy.org/doc/stable/reference/generated/numpy.einsum.html
>>
>> It is a way to define multiple operations on arrays of arbitrary shape.
>> I've not seen anything that suggests this is implemented in sagemath, but I
>> was hoping there might be something hidden.
>>
>> What I need this for is to calculate symbolic results of array operations
>> which are too cumbersome to represent as matrix operations.
>>
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