I am confused, Is this right?

[pengzhipz]

def __dense_block(x, nb_layers, nb_filter, growth_rate, bottleneck=False, dropout_rate=None, weight_decay=1e-4, grow_nb_filters=True, return_concat_list=False):
    concat_axis = -1
    x_list = [x]
    for i in range(nb_layers):
        cb = __conv_block(x, growth_rate, bottleneck, dropout_rate, weight_decay)
        x_list.append(cb)
        x = concatenate([x, cb], axis=concat_axis)
        if grow_nb_filters:
            nb_filter += growth_rate

I want to know if this is a error to pass the grouth_rate to __conv_block, Why not nb_filters?

[titu1994]

Weights load and predict properly for images, so it is correct.