A problem for the optimized model

Hi,

I am a beginer for tvm. I compile the model for vgg19 and visualize it by netron.


The original model is just conv->relu->pooling->…
I know tvm do some operator fusions. But I don’t know why the optimized model has p0, p1, … nodes and they do not contain any input data. Does anyone know why we have these nodes? Thanks!

Isn’t p0 the weight of conv2d and p1 the bias?

Oh, yeah, forget my stupid question :sweat_smile: