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@ -268,7 +268,7 @@ class Model(object):
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return list(self.network.values())[-1]
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def make_layer(self, name, input, units, filter_size=(3,3), stride=(1,1), pad=(1,1), alpha=0.25):
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conv = ConvLayer(input, units, filter_size, stride=stride, pad=(0,0), nonlinearity=None)
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conv = ConvLayer(input, units, filter_size, stride=stride, pad=pad, nonlinearity=None)
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prelu = lasagne.layers.ParametricRectifierLayer(conv, alpha=lasagne.init.Constant(alpha))
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self.network[name+'x'] = conv
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self.network[name+'>'] = prelu
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