About NetX visualization ,and conversion to others

[lava-nc]

About NetX visualization ,and conversion to others

[bamsumit]

You can simply print your network and see what the network is composed of. We don't have immediate plans to have a visualizer for it.

If you want to visualize your network, the easiest supported way is to use torchviz to visualize your SLAYER or Bootstrap model.

If you want to visualize your hdf5 network.net, you can load it as a SLAYER network using slayer.auto. This module is not feature complete yet though. There are some implementations missing like for e.g., convolution block and more.

The second part of your question, it's a two-stage conversion of parameters.

• SLAYER to hdf5: All the neuron models in SLAYER have a property called device_params which is a dictionary of device parameters represented in the hdf5 representation.
• hdf5 to Lava: the translation of this is done in netx.hdf5.Network.get_neuron_params

For example, I am trying to map the nmnist model to lava connected processes so, sometimes it becomes hard to figure out which parameter stands for which parameter when I use .pt file.

This is the exact reason for the existence of NetX so that the user does not need to go through the parameter conversion process which can get tedious with deep networks and very error prone.