update AtrousConv2dLayer / print act identity

Author: zsdonghao

tensorlayer/layers.py

@@ -2045,10 +2045,10 @@ def __init__(
     ):
         Layer.__init__(self, name=name)
         self.inputs = layer.outputs
-        print("  [TL] AtrousConv2dLayer %s: n_filter:%d filter_size:%s rate:%d pad:%s act:%s" %
-                            (self.name, n_filter, filter_size, rate, padding, act.__name__))
         if act is None:
             act = tf.identity
+        print("  [TL] AtrousConv2dLayer %s: n_filter:%d filter_size:%s rate:%d pad:%s act:%s" %
+                            (self.name, n_filter, filter_size, rate, padding, act.__name__))
         with tf.variable_scope(name) as vs:
             shape = [filter_size[0], filter_size[1], int(self.inputs.get_shape()[-1]), n_filter]
             filters = tf.get_variable(name='filter', shape=shape, initializer=W_init, dtype=D_TYPE, **W_init_args )