update cnn base net according to tf1.10 new api

ccfire · Oct 25, 2018 · bcff44a · bcff44a
1 parent 05a699e
commit bcff44a
Showing 1 changed file with 0 additions and 23 deletions.
diff --git a/encoder_decoder_model/cnn_basenet.py b/encoder_decoder_model/cnn_basenet.py
@@ -312,29 +312,6 @@ def layerbn(inputdata, is_training, name):
         :param name:
         :return:
         """
-        # def f1():
-        #     """
-        #
-        #     :return:
-        #     """
-        #     # print('batch_normalization: train phase')
-        #     return tf_layer.batch_norm(
-        #                      inputdata, is_training=True,
-        #                      center=True, updates_collections=None,
-        #                      scope=name, reuse=False)
-        #
-        # def f2():
-        #     """
-        #
-        #     :return:
-        #     """
-        #     # print('batch_normalization: test phase')
-        #     return tf_layer.batch_norm(
-        #                      inputdata, is_training=False,
-        #                      center=True, updates_collections=None,
-        #                      scope=name, reuse=True)
-        #
-        # output = tf.cond(is_training, f1, f2)
 
         return tf.layers.batch_normalization(inputs=inputdata, training=is_training, name=name)