MLPDropoutLayer seems has no hidden layer ?

[fseasy]

Hi , recently I am reading the code and founed it seems that : At MLPDroupoutLayer , there is no hidden layer added .
First , hidden_unites defined here :

conv_net_sentence.py - 311line : hidden_units=[100,2]

and changed here :

conv_net_sentence.py - 93 line : hidden_units[0] = feature_maps*len(filter_hs)

so it steel just has 2 elements .

And at conv_net_classes.py :
96 line : self.weight_matrix_sizes = zip(layer_sizes, layer_sizes[1:])
103 : next_dropout_layer_input = _dropout_from_layer(rng, input, p=dropout_rates[0])
105 : for n_in, n_out in self.weight_matrix_sizes[:-1]:

and here self.weight_matrix_sizes[:-1] is a empty list . So there seems no hidden layer defined ?

[yoonkim]

That's correct, we go directly from the CNN output to the softmax, without any hidden layers.