[SaxonRobber]

No point unless you have an interest in numerical linear algebra. The people who write the foundational Fortran/C/C++ libraries are experts in numerical analysis which is another rabbit hole.

If you want to write your own for fun, then there are some great algebra libraries in C++ you can use or you can use bindings for PyTorch or TF.

[bigmit37]

Yeah I don’t want to write my own libraries but create new layers from the existing numerical algebra layers.

I was originally trying to create a new type of convolution layer in Keras and asked in their official google board, stackoverflow etc , after being stuck for a while but the answers I got weren’t solving the problem.

I haven’t tried creating custom layers in Pytorch yet though so maybe it’s possible to do so with Pytorch and can just learn C++ for other purposes.