+ m = nn.Sequential(*layers)
+
+ h = minimal_input_size(240, layer_specs)
+ w = minimal_input_size(320, layer_specs)
+
+ x = Tensor(1, 1, h, w).normal_()
+
+ print(x.size(), m(x).size())
+
+######################################################################