hello,
thanks for the Netron.
I have a doubt regarding the visualisation. I do not think it is an "issue". However, there seems to be no other way to discuss this than raise a issue.
Attached is an image of a simple cnn with standard blocks of conv, downsample, non-lin, a kind of residual connections etc. My doubt is: at the top why are the additional add_ blocks and two modules rendered? i have tried to see their input and output numbers but unable to map them at a quick glance.
i have rendered them in tensorboard and there i do not see these isolated blocks. However, i prefer to use netron.
so, any explanation to resolve this confusion will be deeply helpful.
thanks
hello, thanks for the Netron. I have a doubt regarding the visualisation. I do not think it is an "issue". However, there seems to be no other way to discuss this than raise a issue. Attached is an image of a simple cnn with standard blocks of conv, downsample, non-lin, a kind of residual connections etc. My doubt is: at the top why are the additional add_ blocks and two modules rendered? i have tried to see their input and output numbers but unable to map them at a quick glance. i have rendered them in tensorboard and there i do not see these isolated blocks. However, i prefer to use netron. so, any explanation to resolve this confusion will be deeply helpful. thanks