pfeatherstone

They don’t really work unless it’s a super simple CNN

I use ONNXRUNTIME as an inference engine but is quite bloated. I was thinking something like frugally that is a simple header only library might be good alternative for drag’n’drop...

The only thing is ONNX is heavily featured. So if you did start supporting it, you might get a flood of issues ONNX related. Something like “doesn’t support ... in...

So I’m willing to bet frugally would rapidly become an ONNX library more so than a keras library. But that’s not a bad thing. That would please the Pytorch community...

I guess you might have to go by ONNX opset rather than choosing specific features to support. For example opset 10 or lower. Then everyone is on the same page...

Maybe if you supported ONNX you would get a lot of PRs from the pytorch/ONNX community. So this could be an investment. :)

I would love to but I would have to ask my bosses for some time to contribute which they would probably not agree to. I understand if you poo-poo the...

I have no idea how long it would take to convert ONNX opset 10 say to the frugally JSON format. I could investigate and maybe do it in a few...

I understand open source isn’t a free service. So I maintain this is just an idea. You are welcome to say no and close the issue.

This sounds promising. It's currently a real pain when wanting to infer ONNX models on mobile platforms or more niche hardware, which big libraries like onnxruntime do not support. Libraries...