Victor
Victor
@ezyang how's the schema going? What is the best thing to consume to generate an object-oriented API for a new language?
I tried adding `libraries=['cublas']` argument, but it did not seem to affect linker flags at all.
Any progress on this? IronPython seems to be using this project to build, and it fails under .NET Core.
BTW, this only happens on CPU.
This also applies to older versions.
For everyone looking at this issue, the original Claymore v15+ works.
PS. I simply took batch_norm.rs and rewrote for group norm. Without exact understanding what group norm is supposed to do.
I faced it when developing a port of [Wave U-Net](https://github.com/f90/Wave-U-Net-Pytorch). Do you want the whole thing in `tch-rs`? I was thinking to make a separate crate.
I see that `tch::maybe_init_cuda();` as the first line in `main` resolves this issue. But is there going to be a non-workaround solution?
I am not the OP, but one use case would be modules, that take multiple inputs or produce multiple outputs.