In the tutorial 5 of snnTorch the data that are inserted for training are the classic mnist and not spikes

[TheoTsio]

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Description

train_loader = DataLoader(mnist_train, batch_size=batch_size, shuffle=True, drop_last=True)
test_loader = DataLoader(mnist_test, batch_size=batch_size, shuffle=True, drop_last=True)

It is using just this as input and there are no spikes

What I Did

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[jeshraghian]

The inputs don't have to be spikes. The idea is that the network will learn the optimal representation to convert non-spiking data into a format compatible with spiking. Tutorial 2 shows how non-spiking data is injected as a time-varying input current. The same logic applies.