Yes. seems to be a bug in torchsummary.
The below code prints only the shape from a single cnv layer.
print([p.shape for p in Net3().parameters()])

I had created an issue in Github for you.

  
      github.com/sksq96/pytorch-summary
  
  
    



Issue: Shared module weights are counted twice 36


	
	opened by InnovArul
	on 2018-10-04
	
	
	


https://discuss.pytorch.org/t/repeated-model-layers-real-or-torchsummary-bug/26489