Hi @justanhduc ,
I am very interested in your GraphX. It seems that your nnt mainly rewrite nn.sequential which need to add output_shape in each torch operation such as FC and Conv2d. So can original pytorch code be easily transform to nnt type?
thanks for your interest. it's very easy. you can use this to wrap a pure Pytorch module. i will release a new version of nnt soon (and GraphX as well) which supports better wrapping.
Hi @justanhduc , I am very interested in your GraphX. It seems that your nnt mainly rewrite nn.sequential which need to add output_shape in each torch operation such as FC and Conv2d. So can original pytorch code be easily transform to nnt type?