pytorch
Adding a library for a new backend, CMSIS.
Hello!
Currently implementing a new backend, CMSIS, which utilizes the CMSIS nn library, a collection of neural network kernels implemented using SIMD instructions to maximize performance on arm cortex processors.
How do I go about adding the library to be used by the backend? It is not really a library you are gonna find in your average linux distribution's repositories, unless the user manually builds it & installs it.
The way I see it we have three options:
- Require that the user has done so, that is, build & install it in his system, and add it as a dependency.
- Add it as a git submodule
- Copy paste it manually and have maintainers update it as needed occasionally.
Which one do you prefer? Have you got any alternatives to propose that I haven't thought of? Would love to know!
Expecting to hear from ya soon.
I would prefer the second option. Is there the possibility to contribute to CMSIS backend implementation?
