def summary(Net):
clf = Net(1, 10, in_ch=1, debug=True).to(device)
data = torch.randn(32, 1, 32, 32).to(device)
labels = torch.randint(0, 10, (32, )).to(device)
clf(data, labels)
print('Nb parameters: {}'.format(nb_parameters(clf)))
def summary(Net):
clf = Net(10, in_ch=1, debug=True).to(device)
clf(torch.randn(32, 1, 32, 32).to(device))
print('Nb parameters: {}'.format(nb_parameters(clf)))
def summary(Net):
clf = Net(10, in_ch=CH, debug=True)
clf(torch.randn(32, CH, 32, 32))
print('Nb parameters: {}'.format(nb_parameters(clf)))
