convnet_cifiar example - harded coded to 32 filters

[filmo]

def conv_layer(n_filters):
    return dp.Convolution(
        n_filters=32,
        filter_shape=(5, 5),
        border_mode='full',
        weights=dp.Parameter(dp.AutoFiller(gain=1.25), weight_decay=0.003),
    )

shouldn't 'n_filters=n_filters' ?? Otherwise it seems like conv_layer is always fixed to 32 filters.

UPDATE: looks like a few of the other examples also are hard-coded to 32 filters as well.