Hello,

I’m wrote out a pytorch model with `torch.onnx`

(I’m aware that it is relatively new) to visualize its structure.

I wonder whether there is any way to distinguish between the input variables and ‘fixed’ inputs

like convolution kernel or bias weights ?

For the moment, I get graphs like this:

where e.g. input 3 is a tensor with convolution filter weights as opposed to input 1 which is a tensor of input variables.

best regards,

Andre