the output dimension of the network

[breadbread1984]

I read your keras code and find that the output dimension of the ss model ans sa model are 51(batch) x 20(length) x 40(channel). is there a fulled connected layer missing before the crossentropy loss is calculated? if not how do you classify with tensor of dimension batch x 20 x 40 directly?