only one layer in each blocks

[Bigsealion]

def _add_block(self, inputs, growth_rate, layers_per_block):
    for layer in range(layers_per_block):
        with tf.variable_scope("layer_%d" % layer):
            return self._add_internal_layer(inputs, growth_rate)

This return in the loop might make only one layer in each block. you know, when the 'layer_0' was created, the 'return' will be used to stop this function.
I use tensorboard to demonstrate this guess